CN120027862B - Automatic monitoring method, system, equipment and medium for power distribution station room - Google Patents
Automatic monitoring method, system, equipment and medium for power distribution station room Download PDFInfo
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- CN120027862B CN120027862B CN202510490404.1A CN202510490404A CN120027862B CN 120027862 B CN120027862 B CN 120027862B CN 202510490404 A CN202510490404 A CN 202510490404A CN 120027862 B CN120027862 B CN 120027862B
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- G—PHYSICS
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1209—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using acoustic measurements
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Abstract
The invention relates to the technical field of monitoring of power distribution stations, and discloses an automatic monitoring method, system, equipment and medium for power distribution station rooms, wherein real-time noise data and real-time partial discharge data acquired by each intelligent sensor based on time synchronization instructions are received, the partial discharge state of a high-voltage switch cabinet in each power distribution station room is judged through the real-time data, and the power distribution station room with abnormal partial discharge is taken as an abnormal power distribution station room; the real-time partial discharge data of each abnormal power distribution station room is used for determining the target acquisition frequency to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal power distribution station room, and further the intelligent sensors in each abnormal power distribution station room are controlled to acquire real-time data based on the target acquisition frequency, so that the monitoring degree and the monitoring efficiency of the power distribution station room are improved, the dependence on the acquired data of an artificial approach station is reduced, the acquisition frequency is not required to be configured manually, and the automation degree and the monitoring strength are further improved.
Description
Technical Field
The invention relates to the technical field of monitoring of power distribution stations, in particular to an automatic monitoring method, system, equipment and medium for a power distribution station room.
Background
The power distribution station room is used as a key node in a power system, safe operation of the power distribution station room directly relates to reliable electricity utilization of residents and enterprises, but the remote areas of the power distribution station room in some areas cannot guarantee the frequency of manual inspection, so that the monitoring data acquisition of the power distribution station room is difficult, and the operation and maintenance management problems that inspection staff are insufficient and the daily inspection is difficult to cover exist in the power distribution station room in most areas are solved, so that the automatic monitoring efficiency of the power distribution station room is low at present.
It can be seen that how to improve the automatic monitoring efficiency of the substation room is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The invention provides an automatic monitoring method, system, equipment and medium for a power distribution station room, which solve the problem of how to improve the automatic monitoring efficiency of the power distribution station room.
To solve the above technical problem, a first aspect of the present invention provides an automatic monitoring method for a substation room, including:
Receiving real-time data acquired by each intelligent sensor for each power distribution station room based on time synchronization instructions, wherein the real-time data comprises real-time noise data and real-time partial discharge data;
Judging whether the partial discharge of each high-voltage switch cabinet is abnormal according to the real-time noise data and the real-time partial discharge data, and judging a power distribution station room to which the high-voltage switch cabinet with abnormal partial discharge belongs as an abnormal power distribution station room according to a judging result;
Determining a target acquisition frequency through real-time partial discharge data of each abnormal power distribution station room, generating a frequency adjustment instruction according to the target acquisition frequency, and sending the frequency adjustment instruction to each abnormal power distribution station room so as to control each intelligent sensor to acquire real-time data based on the target acquisition frequency, thereby realizing automatic monitoring of each power distribution station room.
As one preferable scheme, the time synchronization instruction comprises next synchronous acquisition time and next synchronous acquisition frequency, wherein,
The receiving of real-time data collected by each intelligent sensor for each power distribution station room based on time synchronization instructions comprises the following steps:
the time synchronization instruction is sent to power distribution digital access node equipment, so that the power distribution digital access node equipment generates a DRX configuration instruction according to the time synchronization instruction and sends the DRX configuration instruction to each intelligent sensor arranged in each power distribution station room;
And receiving the real-time data, wherein the real-time data is real-time noise data and real-time partial discharge data acquired by each intelligent sensor based on the next synchronous acquisition frequency when the next synchronous acquisition time is in response to the DRX configuration instruction.
As one preferable solution, the determining whether the partial discharge of each high-voltage switch cabinet has an abnormality according to the real-time noise data and the real-time partial discharge data includes:
Performing primary abnormality judgment on each high-voltage switch cabinet according to the magnitude relation between the real-time partial discharge data and a preset alarm threshold value;
and carrying out secondary abnormality judgment on the high-voltage switch cabinet subjected to the primary abnormality judgment based on the real-time noise data and the real-time partial discharge data to obtain the judgment result.
As one preferable solution, the performing, according to the magnitude relation between the real-time partial discharge data and the preset alarm threshold, an abnormality judgment on each high-voltage switch cabinet includes:
When the real-time partial discharge data is larger than the preset alarm threshold value, judging that the corresponding high-voltage switch cabinet passes the primary abnormality judgment;
and when the real-time partial discharge data is not greater than the preset alarm threshold value, judging that the corresponding high-voltage switch cabinet is normally discharged.
As one preferable solution, the performing, based on the real-time noise data and the real-time partial discharge data, a secondary abnormality determination on the high-voltage switch cabinet that is determined by the primary abnormality determination, to obtain the determination result, includes:
acquiring historical noise data and historical partial discharge data of a power distribution station room to which the high-voltage switch cabinet belongs through one-time abnormality judgment, and quantifying a first increment of the real-time noise data relative to the historical noise data and a second increment of the real-time partial discharge data relative to the historical partial discharge data;
performing secondary abnormality judgment on the high-voltage switch cabinet through the primary abnormality judgment according to the magnitude relation between the ratio of the second increment relative to the first increment and a preset ratio threshold;
And when the ratio is smaller than the preset ratio threshold, judging that the partial discharge of the corresponding high-voltage switch cabinet is normal, and when the ratio is not smaller than the preset ratio threshold, judging that the partial discharge of the corresponding high-voltage switch cabinet is abnormal.
As one preferable mode, the generating a frequency adjustment command according to the target acquisition frequency and sending the frequency adjustment command to each abnormal substation room includes:
acquiring configuration information of each abnormal substation room, and determining an operation level of each abnormal substation room according to the configuration information so as to grade each abnormal substation room;
And adjusting the target acquisition frequency according to the level of each abnormal substation room to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal substation room.
As one preferable mode, the generating a frequency adjustment command according to the target acquisition frequency and sending the frequency adjustment command to each abnormal substation room further includes:
Acquiring real-time humidity data and real-time temperature data of each abnormal power distribution station room;
when the real-time humidity data reach a preset humidity threshold, adjusting the target acquisition frequency based on an adjustment amount corresponding to the preset humidity threshold to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal power distribution station room;
or when the change rate of the real-time temperature data reaches a preset change threshold, adjusting the target acquisition frequency based on an adjustment amount corresponding to the preset change threshold to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal substation room.
A second aspect of the present invention provides an automated monitoring system for a substation room, comprising:
The data receiving module is used for receiving real-time data acquired by each intelligent sensor for each power distribution station room based on time synchronization instructions, wherein the real-time data comprises real-time noise data and real-time partial discharge data;
the abnormality judging module is used for judging whether the local discharge of each high-voltage switch cabinet is abnormal according to the real-time noise data and the real-time local discharge data, and judging a power distribution station room to which the high-voltage switch cabinet with the abnormal local discharge belongs as an abnormal power distribution station room according to a judging result;
The frequency adjustment module is used for determining a target acquisition frequency through real-time partial discharge data of each abnormal power distribution station room, generating a frequency adjustment instruction according to the target acquisition frequency and sending the frequency adjustment instruction to each abnormal power distribution station room so as to control each intelligent sensor to acquire real-time data based on the target acquisition frequency, and realizing automatic monitoring of each power distribution station room.
A third aspect of the invention provides an electronic device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method of automated monitoring of a substation room as described above when the computer program is executed.
According to a fourth aspect of the present invention, there is provided a computer readable storage medium, the computer readable storage medium including a stored computer program, wherein when the computer program is executed by a device in which the computer readable storage medium is located, the automatic monitoring method for a substation room is implemented as described above.
Compared with the prior art, the embodiment of the invention has the beneficial effects that at least one of the following points is adopted:
(1) The intelligent sensor is used for acquiring real-time data based on the time synchronization instruction, so that the accuracy and timeliness of the data are ensured, the real-time noise data and the real-time partial discharge data are acquired, the change of the environment in a power distribution station room, particularly the partial discharge condition of a high-voltage switch cabinet, is convenient to capture immediately, and the possibility is provided for timely finding potential problems;
(2) Determining a target acquisition frequency according to the real-time partial discharge data of the abnormal power distribution station room, and realizing dynamic adjustment of the acquisition frequency so as to more effectively capture abnormal data and avoid resource waste caused by excessive acquisition under normal conditions;
(3) The monitoring degree and the monitoring efficiency of the power distribution station room are improved, the dependence degree on the manual entering station acquisition data is reduced, the acquisition frequency is not required to be configured manually, the automation degree and the monitoring strength are further improved, the requirement for manual intervention is reduced, and the operation and maintenance cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for automated monitoring of a substation room according to one embodiment of the present invention;
FIG. 2 is a block diagram of an automated monitoring system for a substation room according to one embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings and examples, in which it is evident that the embodiments described are only some, but not all embodiments of the invention, and these examples are provided for a more thorough and complete disclosure of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present application, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", "a third", etc. may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected, mechanically connected, electrically connected, directly connected, indirectly connected via an intervening medium, or in communication between two elements. The terms "vertical," "horizontal," "left," "right," "upper," "lower," and the like are used herein for descriptive purposes only and not to indicate or imply that the system or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the application. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
In the description of the present application, it should be noted that all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art unless defined otherwise. The terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application, as the particular meaning of the terms described above in the present application will be understood to those of ordinary skill in the art in the detailed description of the application.
In one embodiment, as shown in fig. 1, a first aspect of the present invention provides an automated monitoring method for a substation room, including:
s1, receiving real-time data acquired by each intelligent sensor for each power distribution station room based on a time synchronization instruction, wherein the real-time data comprises real-time noise data and real-time partial discharge data, and the time synchronization instruction comprises next synchronous acquisition time and next synchronous acquisition frequency;
wherein, step S1 includes:
the time synchronization instruction is sent to power distribution digital access node equipment, so that the power distribution digital access node equipment generates a DRX configuration instruction according to the time synchronization instruction and sends the DRX configuration instruction to each intelligent sensor arranged in each power distribution station room;
And receiving the real-time data, wherein the real-time data is real-time noise data and real-time partial discharge data acquired by each intelligent sensor based on the next synchronous acquisition frequency when the next synchronous acquisition time is in response to the DRX configuration instruction.
The cloud comprises a distribution network cloud master station for managing the distribution station rooms, the distribution network cloud master station can be deployed on a distribution automation platform and is responsible for state overview, data display, data storage and alarm pushing of the distribution station rooms, and the distribution network cloud master station can be deployed on one or more computing devices to realize an automatic monitoring method for the distribution station rooms. The side comprises power distribution digital access node equipment, the data of main equipment sensing equipment and various intelligent sensors can be uniformly collected by the south-oriented power transmission and transformation internet of things protocol, and the north-oriented power distribution network cloud master station can be accessed by the 4G or 5G private network. The terminal side comprises various intelligent sensors and is responsible for collecting comprehensive state information of the power distribution station room, so that data collection of main equipment in the power distribution station room is realized, and further abnormal monitoring of the main equipment is realized.
The intelligent sensors at the end side can be deployed in a power distribution station room and comprise main equipment sensing equipment, a movable ring sensor, a security sensor, a fire sensor and the like, and the main equipment sensing equipment comprises a partial discharge sensor which comprises an ultrasonic partial discharge sensor, a double-ultrasonic transient voltage partial discharge sensor and the like. Because the distribution station room is provided with one or more high-voltage switch cabinets, the partial discharge sensor can be deployed on the high-voltage switch cabinets, the detection of partial discharge ultrasonic parameters of the high-voltage switch cabinets is realized, the local insulation abnormality monitoring capability of the high-voltage switch cabinets is enhanced, and the sensing capability of main equipment (such as the high-voltage switch cabinets) in the distribution station room is further improved.
The operation level of the distribution station room comprises a conventional operation station room and a key operation station room. One or more ultrasonic partial discharge sensors, smoke detectors, water immersion sensors, temperature and humidity sensors, SF 6 and O 2 sensors and access control sensors can be deployed in a conventional operation and maintenance station room. One or more double-ultrasonic transient ground voltage partial discharge sensors, smoke detector, water immersion sensor, temperature and humidity sensor, SF 6 and O 2 sensor and access control sensor can be deployed in the key operation and maintenance station room, wherein one double-ultrasonic transient ground voltage partial discharge sensor can be used as a background noise sensor. The partial discharge sensor comprises an ultrasonic partial discharge sensor, a double-ultrasonic transient-state ground voltage partial discharge sensor and the like, and is suitable for data acquisition of environmental noise and a high-voltage switch cabinet, wherein the double-ultrasonic transient-state ground voltage partial discharge sensor is powered by a battery, can acquire ultrasonic partial discharge signals of 20 kHz-100 kHz and 3 MHz-100 MHz transient-state ground voltage generated by partial discharge of electrical equipment, can realize identification of partial discharge and interference by combining node equipment and system application, and can be particularly deployed at an incoming and outgoing line interval or the high-voltage switch cabinet, and an outward ultrasonic probe of a certain double-ultrasonic transient-state ground voltage partial discharge sensor is used as a background noise sensor.
The security sensor comprises an entrance guard sensor and the like, the entrance guard sensor can be mounted above an entrance and exit wall of a power distribution station room, or a magnetic control strip is mounted on a door frame, a permanent magnet can be used for being mounted on a gate lintel and used for monitoring the opening and closing state of an entrance door of the station room, the alarming capability of illegal intrusion into the power distribution station room is enhanced, and the security sensor is arranged to improve the security capability of the power distribution station room.
The movable ring sensor comprises a water sensor, a temperature and humidity sensor, an SF 6 sensor, an O 2 sensor and the like, wherein each power distribution station room can be provided with 1 water sensor, the water sensor can be arranged close to a gap of a top cable cover plate or arranged at a position 15cm away from the bottom of a cable trench, the water sensor can be additionally arranged in a cable trench of the power distribution station room for monitoring water level abnormality in the power distribution station room so as to realize flood early warning capability, the temperature and humidity sensor can be additionally arranged beside a high-voltage switch cabinet of the power distribution station room or in a measured environment, the temperature and humidity sensor can be arranged at a proper position of a wall or magnetically attracted to the side of the high-voltage switch cabinet, the sensing capability of temperature and humidity abnormality on a main device is improved, the obtained monitoring data can be transmitted to corresponding power distribution digital access node equipment in a wireless LoRa communication mode, the power distribution digital access node equipment can be transmitted to an upper monitoring system in a communication mode through an Ethernet or RS 485/232 and the like, the temperature and humidity sensor can be additionally arranged at a proper position of the wall or in a measured environment, the power distribution station can be additionally arranged at a proper position of the high-voltage switch cabinet or in the side of the power switch cabinet, the power distribution station can be prevented from being electrically connected with the power supply station, the power supply can be prevented from being leaked by the power supply can be increased, and the power supply can be prevented from being leaked by the power supply personnel at the position of the power station side of the power station is increased, and the power supply can be increased by the power station is prevented from being electrically and the power station.
The fire control sensor comprises smoke detectors and the like, each power distribution station room can be provided with 1 smoke detector, each power distribution station room can be additionally arranged at the high position of the power distribution station room, each power distribution station room is provided with a central position at the top of the power distribution station room and used for monitoring the smoke concentration in the station, the fire early warning and emergency disposal capacity is improved, and the fire control sensor is arranged to improve the fire control capacity of the power distribution station room.
The power distribution digital access node equipment is in communication connection with the computing equipment and various intelligent sensors (including partial discharge sensors) deployed in the substation room, and when the computing equipment is in communication connection with the intelligent sensors, the power distribution digital access node equipment can be in communication connection with the intelligent sensors. The distribution digital access node equipment is used for collecting and gathering monitoring data of all intelligent sensors in the station, each intelligent sensor is in wireless transmission with the distribution digital access node equipment through an Internet of things protocol of the power transmission and transformation equipment, and the distribution digital access node equipment communicates with a distribution network cloud master station in the northbound direction.
When the computing equipment sends a time synchronization instruction to the power distribution station room, the computing equipment can send the time synchronization instruction to intelligent sensors in the power distribution station room, and in specific implementation, the computing equipment firstly sends the time synchronization instruction to the power distribution digital access node equipment so that the power distribution digital access node equipment can generate a DRX configuration instruction according to the next synchronous acquisition time and the next synchronous acquisition frequency, and sends the DRX configuration instruction to each intelligent sensor to control the intelligent sensors to acquire real-time noise data of the environment in the power distribution station room and real-time partial discharge data of a high-voltage switch cabinet in the power distribution station room.
And the partial discharge sensor responds to the DRX configuration instruction and collects real-time partial discharge data based on the corresponding frequency at corresponding time, wherein the real-time partial discharge data comprises partial discharge data for monitoring the elements in the cabinet, and the partial discharge condition of the elements in the cabinet is represented. However, because the environment where the high-voltage switch cabinet is deployed includes not only the high-voltage switch cabinet, but also other electrical appliances, such as an electric lamp, a camera, etc., when the elements outside the high-voltage switch cabinet generate abnormality, such as a stroboscopic lamp, local discharge can also be generated, and such local discharge signals can also be collected by a local discharge sensor for monitoring the high-voltage switch cabinet. Therefore, when the real-time partial discharge data collected by the partial discharge sensor is abnormal, the partial discharge data may be abnormal partial discharge of the high-voltage switch cabinet or a partial discharge signal which is disturbed in the environment. In order to determine whether the high-voltage switch cabinet is abnormal in partial discharge or a disturbance partial discharge signal in the environment when monitoring the power distribution station room, a partial discharge sensor needs to be additionally arranged in the environment to collect real-time noise data, and whether the high-voltage switch cabinet is abnormal in partial discharge or not is judged by comparing the real-time noise data with the real-time partial discharge data.
Therefore, a plurality of partial discharge sensors are deployed in the substation room to monitor the data in the substation room, each partial discharge sensor may have an independent time for starting to collect the data, and the collecting frequency may not be simultaneously collected by the real-time noise data and the real-time partial discharge data collected by the partial discharge sensors, for example, the real-time noise data is collected at a first time, the real-time partial discharge data is collected at a second time, and if the real-time partial discharge data of the switch cabinet is abnormal at the second time, whether the abnormality occurs due to the influence of the environmental noise on the real-time partial discharge data cannot be judged according to the real-time noise data at the first time.
Therefore, the invention sends the time synchronization instruction to the partial discharge sensor by the computing equipment, so that the partial discharge sensor starts to collect data at the same collection time specified by the next synchronous collection time, and collects data according to the same collection frequency specified by the synchronous collection frequency. After receiving the time synchronization instruction sent by the computing device, the power distribution digital access node device firstly analyzes the time synchronization instruction to determine the next synchronous acquisition time and the next synchronous acquisition frequency, then generates a DRX configuration instruction according to the next synchronous acquisition time and the next synchronous acquisition frequency, and sends the DRX configuration instruction to each partial discharge sensor, wherein the DRX configuration instruction comprises a DRX period duration, namely how long one DRX period lasts, and further comprises a synchronous frame sequence number, and the number of the DRX periods at which synchronous acquisition of data starts is regulated. The DRX period duration is determined according to the next synchronous acquisition frequency, the synchronous frame sequence number is determined according to the next synchronous acquisition time, and the synchronous acquisition frequency and the corresponding DRX period duration can be set to 20 mu s.
The process needs to set each partial discharge sensor in advance so that the partial discharge sensor can receive the DRX configuration instruction. And when the synchronous acquisition is performed, the partial discharge sensors perform time mark alignment according to the frame sequence number and the synchronous frame sequence number when the DRX configuration instruction is received, namely, synchronization is performed according to a synchronous signal generated by the BCH frame, then the partial discharge sensors calculate the next synchronous acquisition time according to the synchronous frame sequence number, and start to synchronously acquire data when the next synchronous acquisition time is reached, so that DRX scheduling of the partial discharge sensors is realized. According to the invention, the intelligent sensors and the power distribution digital access node equipment are deployed in the power distribution station rooms, the monitoring data in the stations are collected and collected, the digital power distribution network cloud master station is deployed in the cloud side, the comprehensive, real-time and continuous monitoring of a plurality of power distribution station rooms is realized, the intelligent level and the automatic monitoring level of the operation and maintenance of the power distribution station rooms are improved by utilizing the multisource sensing data, and the frequent entering pressure of operation and maintenance personnel is further reduced.
S2, judging whether the partial discharge of each high-voltage switch cabinet is abnormal according to the real-time noise data and the real-time partial discharge data, and judging a power distribution station room to which the high-voltage switch cabinet with the abnormal partial discharge belongs as an abnormal power distribution station room according to a judging result;
In an embodiment, the determining whether the partial discharge of each high-voltage switch cabinet is abnormal according to the real-time noise data and the real-time partial discharge data includes:
Performing primary abnormality judgment on each high-voltage switch cabinet according to the magnitude relation between the real-time partial discharge data and a preset alarm threshold value;
and carrying out secondary abnormality judgment on the high-voltage switch cabinet subjected to the primary abnormality judgment based on the real-time noise data and the real-time partial discharge data to obtain the judgment result.
Specifically, the method can be used for rapidly screening the high-voltage switch cabinet with possible abnormality by comparing the real-time partial discharge data with the preset alarm threshold value, is simple and direct, can be used for initially positioning potential fault sources, and can be used for further eliminating false alarm caused by noise interference by combining real-time noise data to carry out secondary judgment on the basis of primary abnormality judgment, thereby improving the accuracy of fault detection. The invention combines the real-time monitoring technology and the data analysis technology, realizes the intelligent monitoring and abnormality judgment of the high-voltage switch cabinet, and provides powerful support for the intelligent development of the power industry.
In an embodiment, the performing an abnormality judgment on each high-voltage switch cabinet according to the magnitude relation between the real-time partial discharge data and a preset alarm threshold value includes:
When the real-time partial discharge data is larger than the preset alarm threshold value, judging that the corresponding high-voltage switch cabinet passes the primary abnormality judgment;
and when the real-time partial discharge data is not greater than the preset alarm threshold value, judging that the corresponding high-voltage switch cabinet is normally discharged.
Specifically, the specific setting value of the preset alarm threshold is not limited, the specific setting value can be determined by adopting an algorithm or according to experience of historical data, or is set according to needs, and is preferably 8dB mu V, and the primary abnormality judgment process is that if the real-time local discharge data is 8dB mu V or less, the high-voltage switch cabinet is normally in local discharge, and if the real-time local discharge data is 8dB mu V or more, the high-voltage switch cabinet is subjected to primary abnormality judgment. According to the invention, by setting the reasonable alarm threshold, the system can accurately detect and report when the partial discharge abnormality occurs in the high-voltage switch cabinet under most conditions, the possibility of missing report is reduced, the sensitivity of fault detection is improved, and the automatic and intelligent monitoring of the power distribution station room is further improved.
In an embodiment, the performing, based on the real-time noise data and the real-time partial discharge data, a secondary abnormality determination on the high-voltage switch cabinet that is determined by the primary abnormality determination, to obtain the determination result, includes:
acquiring historical noise data and historical partial discharge data of a power distribution station room to which the high-voltage switch cabinet belongs through one-time abnormality judgment, and quantifying a first increment of the real-time noise data relative to the historical noise data and a second increment of the real-time partial discharge data relative to the historical partial discharge data;
performing secondary abnormality judgment on the high-voltage switch cabinet through the primary abnormality judgment according to the magnitude relation between the ratio of the second increment relative to the first increment and a preset ratio threshold;
And when the ratio is smaller than the preset ratio threshold, judging that the partial discharge of the corresponding high-voltage switch cabinet is normal, and when the ratio is not smaller than the preset ratio threshold, judging that the partial discharge of the corresponding high-voltage switch cabinet is abnormal.
The method comprises the steps of obtaining historical noise data and historical partial discharge data of a high-voltage switch cabinet which are judged through one abnormality, determining a first increment of the real-time noise data relative to the historical noise data and a second increment of the real-time partial discharge data relative to the historical partial discharge data, judging that the real-time partial discharge data are related to environmental noise and normal in partial discharge of the corresponding high-voltage switch cabinet if the ratio of the second increment to the first increment is smaller than a preset ratio threshold, judging that the real-time partial discharge data are not related to the environmental noise and abnormal in partial discharge of the corresponding high-voltage switch cabinet if the ratio of the second increment to the first increment is not smaller than the preset ratio threshold, and judging that a power distribution station room to which the high-voltage switch cabinet with abnormal partial discharge belongs is abnormal in power distribution station room. The method does not limit the specific setting mode of the preset proportion threshold, and the preset proportion threshold, preferably 1, can be determined by carrying out multiple tests on the real-time partial discharge data.
In addition, after the fact that the real-time local discharge data increase is irrelevant to the environmental noise is judged, judgment can be further carried out, and the judgment accuracy of the correlation between the real-time local discharge data increase and the environmental noise is improved; the method comprises the steps of obtaining a first partial discharge spectrum of real-time noise data and a second partial discharge spectrum of real-time partial discharge data, determining the similarity of the first partial discharge spectrum and the second partial discharge spectrum, judging that the increase of the real-time partial discharge data is irrelevant to environmental noise if the similarity is smaller than a preset similarity threshold value, and judging that the partial discharge of the high-voltage switch cabinet is abnormal. When the similarity of the first partial discharge atlas and the second partial discharge atlas is determined, an image similarity model can be adopted for determination, the first partial discharge atlas and the second partial discharge atlas are input into the image similarity determination model, and the output value of the image similarity determination model is used as the similarity. The invention does not limit the specific selected image similarity determination model, such as a model based on feature extraction, a model based on a hash algorithm, a model histogram comparison based on structural similarity, cosine similarity and the like, and the similarity threshold can be set to be 50% and can be adjusted according to the needs.
The invention not only considers the real-time partial discharge data, but also combines the real-time noise data and the increment change of the real-time noise data relative to the historical data, thereby being capable of more comprehensively evaluating the partial discharge state of the high-voltage switch cabinet, and by comparing the relation between the ratio of the real-time partial discharge data increment (second increment) to the historical partial discharge data increment and the real-time noise data increment (first increment), the real partial discharge abnormality can be more accurately identified, the false alarm caused by noise interference or other factors is reduced, the precision of fault detection and the stability and reliability of the system are improved, the operation and maintenance strategy and resource allocation are optimized, and the intelligent development of the power industry is promoted.
S3, determining a target acquisition frequency through real-time partial discharge data of each abnormal power distribution station room, generating a frequency adjustment instruction according to the target acquisition frequency and sending the frequency adjustment instruction to each abnormal power distribution station room so as to control each intelligent sensor to acquire real-time data based on the target acquisition frequency, and realizing automatic monitoring of each power distribution station room;
Specifically, the invention can determine the target acquisition frequency through the acquisition frequency adjustment interval corresponding to the real-time partial discharge data of various abnormal power distribution station rooms, can set a plurality of acquisition frequency adjustment intervals, and can realize one-time monitoring when the real-time partial discharge data is more than 8dB mu V and less than 20dB mu V, the acquisition frequency is set to be 6 hours, one-time monitoring when the real-time partial discharge data is more than 20dB mu V and less than 30dB mu V, one-time monitoring when the real-time partial discharge data is more than 30dB mu V, the acquisition frequency is set to be 0.5 hour, and can realize one-time monitoring when the real-time partial discharge data is more than 30dB mu V, and can also realize one-time inspection when the real-time partial discharge data is less than 8dB mu V, one-time inspection when the real-time partial discharge data is more than 1 month inspection is carried out on the power distribution station rooms, one-time inspection is carried out on the power distribution station rooms for 1 week when the real-time partial discharge data is more than 30dB mu V, and whether the power is required to be repaired by checking manually when the real-time partial discharge data is more than 30dB mu V, and can also realize one-time inspection when the real-time inspection is required to be carried out by checking manually. For example, when the in-cabinet partial discharge is suspected to be abnormal, the partial discharge spectrum phase characteristics do not have typical partial discharge spectrum characteristics. In order to verify the effectiveness of partial discharge monitoring, the monitoring anomaly site retest can be manually carried out, the online monitoring value is exerted, and whether the main equipment has faults or not is checked.
After the target acquisition frequency is determined, generating a frequency adjustment instruction comprising the target acquisition frequency to be improved, sending the acquisition frequency adjustment instruction to the power distribution digital access node equipment, and sending a DRX configuration instruction to the partial discharge sensor by the power distribution digital access node equipment so that the partial discharge sensor can acquire monitoring data according to the target acquisition frequency, and uploading the monitoring data acquired according to the target acquisition frequency to the computing equipment by the power distribution digital access node equipment. When the real-time partial discharge data collected by the partial discharge sensor is lowered, the collection frequency can be correspondingly adjusted according to the collection frequency adjustment interval, and if the real-time partial discharge data is lowered to a normal interval, for example, below 8 dB mu V, the collection frequency can be set to be changed into collection every 12 hours.
In one embodiment, the generating a frequency adjustment command according to the target acquisition frequency and sending the frequency adjustment command to each abnormal substation room includes:
acquiring configuration information of each abnormal substation room, and determining an operation level of each abnormal substation room according to the configuration information so as to grade each abnormal substation room;
And adjusting the target acquisition frequency according to the level of each abnormal substation room to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal substation room.
Specifically, the method responds to the target acquisition frequency, sends a data request instruction to the abnormal power distribution station room, further receives configuration information sent by the abnormal power distribution station room in response to the instruction, wherein the configuration information is used for setting the operation level of the power distribution station room, and can be actively set by operation and maintenance personnel or computing equipment of the power distribution station room, for example, the key guarantee station room is set as the key operation and maintenance station room according to the importance degree of load, or the power distribution station room with abnormal real-time local-play data in the historical operation and maintenance data is used as the key operation and maintenance station room according to the historical operation and maintenance data, and the key operation and maintenance station room is used as the primary power distribution station room according to the operation level of the abnormal power distribution station room, and the conventional operation and maintenance station room is used as the secondary power distribution station room.
The conventional operation and maintenance station room and the key operation and maintenance station room are intelligently modified, various intelligent sensors are deployed, the key operation and maintenance station room has the same fire protection, security protection and movable ring lifting level as the conventional operation and maintenance station room, the main equipment sensing and protection capability is emphasized and enhanced, and the ultrasonic partial discharge sensor is upgraded into a double-ultrasonic partial transient partial discharge positioning sensor. The local-discharge sensor of the conventional operation and maintenance station room comprises an ultrasonic local-discharge sensor, the local-discharge sensor of the key operation and maintenance station room comprises a double-ultrasonic transient ground voltage local-discharge sensor, the double-ultrasonic transient ground voltage local-discharge sensor comprises an intra-cabinet ultrasonic probe, an extra-cabinet ultrasonic probe and a transient ground voltage sensor, and monitoring data collected by the key operation and maintenance station room further comprises intra-cabinet local-discharge data, extra-cabinet local-discharge data and transient ground voltage data.
Compared with the conventional operation and maintenance station, the dual-ultrasonic-bureau sensor deployed in the key operation and maintenance station has three aspects of improvement, namely the dual-ultrasonic-bureau sensor has the capability of acquiring signals of bureau external bureau, ultrasonic probes are arranged in the bureau and the bureau external, the ultrasonic probes are used for acquiring the bureau internal bureau external bureau data and the bureau external data, the monitoring accuracy can be improved by matching with a high-precision clock of the power distribution digital access node equipment, the dual-ultrasonic-bureau sensor has the capability of acquiring ultrasonic bureau external bureau and transient ground voltage, the insulation damage monitoring capability is enhanced, and the dual-ultrasonic-bureau sensor has higher monitoring frequency, and the synchronous acquisition frequency of the key operation and maintenance station is higher than that of the conventional operation and maintenance station.
And then adjusting the target acquisition frequency according to the level of each abnormal power distribution station room, specifically adjusting the target acquisition frequency of the secondary power distribution station room to 12 hours/time, adjusting the target acquisition frequency to 1 time every 1-2 hours by the primary power distribution station, generating a frequency adjustment instruction, and sending the frequency adjustment instruction to each abnormal power distribution station room, thereby improving the state management and control capacity of the main equipment. The invention can more clearly know the severity and the emergency degree of each station room by classifying the abnormal power distribution station rooms, thereby pertinently making operation and maintenance plans and strategies, and the hierarchical management is beneficial to operation and maintenance personnel to more reasonably distribute limited resources to the station rooms with different levels, thereby ensuring that important station rooms are treated timely and effectively, enhancing the stability and the safety of the system, improving the data acquisition and monitoring effect, promoting the intelligent and automatic monitoring and operation and maintenance development, and having important practical application value.
In an embodiment, the generating a frequency adjustment command according to the target acquisition frequency and sending the frequency adjustment command to each abnormal substation room further includes:
Acquiring real-time humidity data and real-time temperature data of each abnormal power distribution station room;
when the real-time humidity data reach a preset humidity threshold, adjusting the target acquisition frequency based on an adjustment amount corresponding to the preset humidity threshold to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal power distribution station room;
or when the change rate of the real-time temperature data reaches a preset change threshold, adjusting the target acquisition frequency based on an adjustment amount corresponding to the preset change threshold to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal substation room.
Specifically, the invention collects real-time temperature data and real-time humidity data of each abnormal power distribution station room through the temperature and humidity sensor, and adjusts the target collection frequency by utilizing the real-time temperature and humidity data, specifically comprising the following steps:
comparing the real-time humidity data with a preset humidity threshold, and when the real-time humidity data reach the preset humidity threshold, adjusting the target acquisition frequency based on the adjustment quantity corresponding to the preset humidity threshold to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each different power distribution station room, wherein the influence of the ambient humidity on the local discharge of the switch cabinet is positively correlated, and when the humidity of the station room reaches more than 50%, the local discharge signal is obviously enhanced, the preset humidity threshold can be set to be 50%, and the adjustment quantity corresponding to the preset humidity threshold is acquired once every 2 hours;
Or determining the change rate of the real-time temperature data, and adjusting the target acquisition frequency based on the adjustment quantity corresponding to the preset change threshold when the change rate reaches the preset change threshold to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal power distribution station room, wherein the preset change threshold is more than 2 ℃ per hour, and the adjustment quantity corresponding to the preset change threshold is 1 time per 5 minutes.
In addition, the invention can also set that the humidity of the station room is less than 75 percent and the temperature of the station room is less than 45 ℃ and is normal, generate general alarm information when the computing equipment monitors that the humidity of the station room is greater than 75 percent or the temperature of the station room is greater than 45 ℃, judge that personnel enter the power distribution station room when the power distribution station room is opened or closed according to the monitored data by acquiring the monitored data of the water logging sensor and set the alarm water level of the water logging sensor, generate alarm information according to the monitored data when the water logging sensor monitors that the water level reaches the alarm water level, set the acquisition frequency of the water logging sensor to be 1 time every 12 hours, acquire the monitored data of the smoke sensing sensor, set the acquisition frequency of the smoke sensing sensor to be 1 time every 5 minutes, generate alarm information according to the monitored data when the smoke sensing sensor monitors smoke, generate alarm information according to the monitored data, judge that the power distribution station room has personnel enter the SF according to the monitored data when the monitored data of the door access control sensor acquires the power distribution station, judge that the power distribution station room has SF and the alarm information according to the monitored data, judge that the SF 6 and O 2 contains the SF 2 sensor has the alarm information when the SF 6 has the air leakage information, and calculate the alarm information according to the SF 6.
When the real-time humidity data reaches a preset humidity threshold value or the change rate of the real-time temperature data reaches a preset change threshold value, the system can automatically adjust the target acquisition frequency and generate a frequency adjustment instruction to be sent to the abnormal power distribution station room, so that the workload of operation and maintenance personnel can be greatly reduced, the operation and maintenance efficiency is improved, and the automatic monitoring degree of the power distribution station room is further improved.
The automatic monitoring method for the power distribution station rooms is designed based on the problem of how to improve automatic monitoring efficiency of the power distribution station rooms, the method for automatically monitoring the power distribution station rooms is used for receiving real-time data collected by all intelligent sensors based on time synchronization instructions, the real-time data comprise real-time noise data and real-time partial discharge data, judging whether the partial discharge of all high-voltage switch cabinets is abnormal or not according to the real-time noise data and the real-time partial discharge data, judging the power distribution station rooms to which the high-voltage switch cabinets with abnormal partial discharge belong as abnormal power distribution station rooms according to a judging result, determining a target collecting frequency according to the real-time partial discharge data of all the abnormal power distribution station rooms, generating a frequency adjustment instruction according to the target collecting frequency and sending the frequency adjustment instruction to all the abnormal power distribution station rooms so as to control the intelligent sensors to collect the real-time data based on the target collecting frequency, the technical scheme of automatically monitoring all the power distribution station rooms is achieved, the monitoring degree and monitoring efficiency of all the power distribution station rooms are improved, the degree of dependence on manual power distribution station collecting data is reduced, and the degree of automation degree and degree of monitoring are further improved.
Although the steps in the flowcharts described above are shown in order as indicated by arrows, these steps are not necessarily executed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders.
In another embodiment, as shown in fig. 2, a second aspect of the invention provides an automated monitoring system for a substation room, comprising:
the data receiving module 10 is used for receiving real-time data collected by each intelligent sensor for each power distribution station room based on time synchronization instructions, wherein the real-time data comprises real-time noise data and real-time partial discharge data;
The abnormality judging module 20 is configured to judge whether an abnormality exists in the partial discharge of each high-voltage switch cabinet according to the real-time noise data and the real-time partial discharge data, and judge a power distribution station room to which the high-voltage switch cabinet with the abnormality exists as an abnormal power distribution station room according to a judgment result;
The frequency adjustment module 30 is configured to determine a target acquisition frequency according to real-time partial discharge data of each abnormal substation room, generate a frequency adjustment instruction according to the target acquisition frequency, and send the frequency adjustment instruction to each abnormal substation room, so as to control each intelligent sensor to acquire real-time data based on the target acquisition frequency, thereby realizing automatic monitoring of each substation room.
It should be noted that, each module in the above-mentioned automatic monitoring system for a substation room may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules. For a specific definition of an automated monitoring system for a substation room, reference is made to the definition of an automated monitoring method for a substation room hereinabove, which have the same functions and roles, and are not described in detail herein.
A third aspect of the present invention provides an electronic device comprising:
a processor, a memory, and a bus;
the bus is used for connecting the processor and the memory;
the memory is used for storing operation instructions;
the processor is configured to, by invoking the operation instruction, cause the processor to perform an operation corresponding to a method for automatically monitoring a substation room according to the first aspect of the present application.
In an alternative embodiment, an electronic device is provided, as shown in FIG. 3, the electronic device 5000 shown in FIG. 3 comprising a processor 5001 and a memory 5003. The processor 5001 is coupled to the memory 5003, e.g., via bus 5002. Optionally, the electronic device 5000 may also include a transceiver 5004. It should be noted that, in practical applications, the transceiver 5004 is not limited to one, and the structure of the electronic device 5000 is not limited to the embodiment of the present application.
The processor 5001 may be a CPU, general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor 5001 may also be a combination of computing functions, e.g., including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 5002 may include a path to transfer information between the aforementioned components. Bus 5002 may be a PCI bus or an EISA bus, among others. The bus 5002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
The memory 5003 may be, but is not limited to, ROM or other type of static storage device, RAM or other type of dynamic storage device, which can store static information and instructions, EEPROM, CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disc, etc.), magnetic disk storage or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and capable of being accessed by a computer.
The memory 5003 is used for storing application program codes for implementing the inventive arrangements and is controlled to be executed by the processor 5001. The processor 5001 is operative to execute application code stored in the memory 5003 to implement what has been shown in any of the method embodiments described previously.
Among them, the electronic devices include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like.
A fourth aspect of the present application provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method of automated monitoring of a substation room according to the first aspect of the present application.
Yet another embodiment of the present application provides a computer-readable storage medium having stored thereon a computer program which, when run on a computer, causes the computer to perform the corresponding ones of the foregoing method embodiments.
Furthermore, an embodiment of the present invention proposes a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, implements the steps of the above-mentioned method.
In summary, the invention relates to the technical field of monitoring of power distribution stations, and discloses an automatic monitoring method, system, equipment and medium for power distribution station rooms, wherein real-time noise data collected by each power distribution station room based on time synchronization instructions are received by each intelligent sensor to realize real-time partial discharge data, and then the partial discharge state of a high-voltage switch cabinet in each power distribution station room is judged according to the real-time noise data, and the power distribution station room with abnormal partial discharge is taken as an abnormal power distribution station room; the real-time partial discharge data of each abnormal power distribution station room is used for determining the target acquisition frequency to generate a frequency adjustment instruction and sending the frequency adjustment instruction to each abnormal power distribution station room, and further the intelligent sensors in each abnormal power distribution station room are controlled to acquire real-time data based on the target acquisition frequency, so that the monitoring degree and the monitoring efficiency of the power distribution station room are improved, the dependence on the acquired data of an artificial approach station is reduced, the acquisition frequency is not required to be configured manually, and the automation degree and the monitoring strength are further improved.
In this specification, each embodiment is described in a progressive manner, and all the embodiments are directly the same or similar parts referring to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments. It should be noted that, any combination of the technical features of the foregoing embodiments may be used, and for brevity, all of the possible combinations of the technical features of the foregoing embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few preferred embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the application. It should be noted that modifications and substitutions can be made by those skilled in the art without departing from the technical principles of the present application, and such modifications and substitutions should also be considered to be within the scope of the present application. Therefore, the protection scope of the patent of the application is subject to the protection scope of the claims.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001018554A1 (en) * | 1999-09-02 | 2001-03-15 | Transgrid | Partial discharge monitoring system for transformers |
| WO2019010523A1 (en) * | 2017-07-09 | 2019-01-17 | Aurtra Pty Ltd | System and method of determining age of a transformer |
Family Cites Families (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0769372B2 (en) * | 1989-04-26 | 1995-07-31 | 富士電機株式会社 | Partial discharge monitoring device for gas insulated equipment |
| JPH07333288A (en) * | 1994-06-14 | 1995-12-22 | Nissin Electric Co Ltd | Method for monitoring insulation of electric apparatus |
| JP2000065888A (en) * | 1998-08-24 | 2000-03-03 | Fujikura Ltd | Partial discharge automatic detection method |
| FI107083B (en) * | 1999-10-19 | 2001-05-31 | Abb Substation Automation Oy | Method and arrangement for detecting the cause of a partial discharge |
| JP2002323532A (en) * | 2001-04-27 | 2002-11-08 | Hokuriku Electric Power Co Inc:The | Partial discharge detecting method for electric appliance |
| JP2010032450A (en) * | 2008-07-31 | 2010-02-12 | Meidensha Corp | Method of determining presence or absence of partial discharge electromagnetic wave from object electric apparatus |
| KR101034243B1 (en) * | 2009-10-29 | 2011-05-12 | 한국전기연구원 | Standardization device of partial discharge calibration pulse generator |
| CN105073618A (en) * | 2013-02-21 | 2015-11-18 | 奥的斯电梯公司 | Elevator cord health monitoring |
| CN104699949B (en) * | 2015-01-16 | 2017-08-25 | 广东电网有限责任公司佛山供电局 | One kind is based on chaos annealing small echo hard threshold method XLPE cable shelf depreciation noise-eliminating method |
| CN108872813B (en) * | 2018-07-04 | 2020-12-15 | 太原理工大学 | A Fiber Optic Pickup Probe Device for Cable Partial Discharge Detection |
| CN109490724A (en) * | 2018-11-08 | 2019-03-19 | 国网浙江省电力有限公司金华供电公司 | 10kV on-pole switch charges partial discharge test piezoelectric type detector of sound |
| DE102019211040A1 (en) * | 2019-07-25 | 2021-01-28 | Siemens Energy Global GmbH & Co. KG | Method for determining asymmetrical vibrations when operating an electrical device connected to a high-voltage network |
| CN113726318A (en) * | 2021-07-08 | 2021-11-30 | 四川大学 | WM-based partial discharge white noise self-adaptive suppression method |
| CN114726094B (en) * | 2022-03-29 | 2024-12-31 | 安徽明生恒卓科技有限公司 | An intelligent station house monitoring system and method based on intelligent fusion terminal |
| CN115453283A (en) * | 2022-08-25 | 2022-12-09 | 贵州电网有限责任公司 | Two-in-one partial discharge sensor detection device and method |
| CN115327320A (en) * | 2022-08-26 | 2022-11-11 | 河海大学 | A device and method for monitoring partial discharge of cable joints based on ultrasonic method |
| CN116008741A (en) * | 2022-12-16 | 2023-04-25 | 西安交通大学 | Evaluation method of discharge risk in double-circuit switchgear |
| CN116068349A (en) * | 2023-02-21 | 2023-05-05 | 国网智能电网研究院有限公司 | PD pulse real-time detection method and sensor based on long-short time sliding window |
| CN220040994U (en) * | 2023-05-12 | 2023-11-17 | 国网福建省电力有限公司漳州供电公司 | A power distribution station monitoring system |
| CN117081238A (en) * | 2023-07-24 | 2023-11-17 | 南瑞电力设计有限公司 | Intelligent monitoring system for power distribution station room |
| CN117434397A (en) * | 2023-09-19 | 2024-01-23 | 国网上海市电力公司 | Main transformer bushing insulation monitoring system and method based on microsensor |
| CN119669920A (en) * | 2024-10-16 | 2025-03-21 | 国网湖北省电力有限公司武汉供电公司 | A transformer operation status analysis system and method for substation noise |
| CN119270000A (en) * | 2024-11-12 | 2025-01-07 | 国网福建省电力有限公司莆田供电公司 | A circuit and use method of a high-voltage switch cabinet insulation diagnosis device based on pulse current method |
-
2025
- 2025-04-18 CN CN202510490404.1A patent/CN120027862B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001018554A1 (en) * | 1999-09-02 | 2001-03-15 | Transgrid | Partial discharge monitoring system for transformers |
| WO2019010523A1 (en) * | 2017-07-09 | 2019-01-17 | Aurtra Pty Ltd | System and method of determining age of a transformer |
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