CN102338833B - Method for detecting abnormality of urban power supply quickly - Google Patents
Method for detecting abnormality of urban power supply quickly Download PDFInfo
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Abstract
The invention discloses a method and a device for detecting the abnormality of a mains supply quickly. The method comprises the following steps of: sending the mains supply to a sampling module for sampling by using the device, and rectifying so as to acquire an absolute value signal of voltage of the mains supply; sending the sampled signal of the mains supply to a data acquisition processor; acquiring the output signal of the sampling module and analyzing and judging the output signal by using the data acquisition processor; outputting a state signal of the mains supply to a logic executing module; and if the state signal of the mains supply is abnormal, giving an acoustooptical alarm and executing relevant operation by using the logic executing module. In the data processing method, whether the mains supply has overhigh voltage abnormality, overlow voltage abnormality, zero crossing abnormality, energy abnormality and amplitude abnormality is judged according to the features of the sine wave of the mains supply and the maximum utilization ratio of energy.
Description
Technical field
The present invention relates to electrical equipment technical field, particularly method for quick and the device of a kind of city electrical anomaly.
Background technology
Fast development along with infotech, ups system (uninterruptible power system) is more and more extensive in the application in the fields such as finance, insurance, the tax, communication, national defence, some accounted for the little industry of market proportion such as manufacturing industry, communications, energy industry etc. present rapid growth to the demand of uninterrupted power source the impetus in the past, particularly in the manufacturing industry, the extensive emergence of medium-sized and small enterprises, more become the new power producer that drives the uninterrupted power source market growth, the development potentiality of uninterrupted power source is still very huge.In order to guarantee the in support energy-conservation and high reliability of the uninterruptible power system of power supply, the high power UPS application scenario needs UPS to operate in economic operation model, under this economic operation model, UPS is in bypass output, therefore need to carry out fast abnormality detection to the bypass input of civil power, so that UPS can switch to inversion output operational mode fast, guarantee the uninterrupted output to the rear class load.Simultaneously alternating current also is widely used in the various fields such as commercial residential building, industry, national defence, and its system of high-end field and equipment are just higher for the requirement of electrical network, damages or the data message transmission is lost, mistake to avoid electrical network that equipment is caused.
Main three kinds of existing civil power abnormality judgment method:
One: be to utilize the effective value of civil power to calculate, use effective value to judge whether civil power is unusual.This mode has following deficiency: the civil power effective value needs half period could calculate acquisition at least, and the civil power anomaly detection time is inevitable greater than half civil power cycle like this.
Its two: be to judge by the envelope that mains waveform is set whether mains waveform unusual.This mode has following deficiency: 1, because mains waveform is sinusoidal wave, envelope is relatively more difficult up and down to its setting; 2, the method needs more accurately to know the frequency of civil power, but the measurement of mains frequency is the hysteresis one-period, once when mains frequency is undergone mutation, can occur therefore existing this method of occasion of frequent variations just can not be suitable in mains frequency without detecting.
Its three: be by certain electrical voltage point is set, judge and judge less than the time of this electrical voltage point whether mains waveform unusual.There is following deficiency in this mode: 1, because mains waveform is sinusoidal wave, in the judgement time that the zero passage of waveform need to be grown, so often can't realize the purpose of judging fast.
Summary of the invention
To the objective of the invention is in order addressing the above problem, method for quick and the device of a kind of city electrical anomaly to be provided, it has solved the existing deficiency of traditional detection method, commercial power supply is detected quick, accurate.
In order to achieve the above object, technical scheme provided by the invention is: method for quick and the device of a kind of city electrical anomaly, to send sampling module to sample and rectification civil power, obtain the line voltage absolute value signal, then the civil power sampled signal being delivered to data collection processor judges, data collection processor gathers the signal of sampling module output and processes output civil power status signal, and this signal send the logic execution module;
Whether wherein the data processing method of data collection processor is to adopt software processing mode, unusual in order to judge civil power.Civil power is through behind the sampling module, obtain line voltage absolute value waveform, data collection processor gathers this waveform, take the line voltage waveform of one-period as example, referring to accompanying drawing 2, line voltage absolute value waveform to one-period, decide V1, three lines of V2 and V3 are divided into 4 districts with waveform, be the I district more than the V1, it is the II district between V1 and the V2, it is the III district between V2 and the V3, V3 is following to be the IV district, wherein the V1 line is civil power high pressure detection line, the V3 line is civil power low pressure detection line, the V2 line is civil power energy measuring line, A1 is the described line voltage absolute value waveform in 0～pi/2 interval and the intersection point of V2 line, A4 is the described line voltage absolute value waveform in pi/2～π interval and the intersection point of V2 line, and A7 is the described line voltage absolute value waveform in π～3 pi/2 intervals and the intersection point of V2 line, because in 0～A1 interval or A4～π interval, the civil power amplitude is less, time is also shorter, and civil power is less at this region energy, and interval at A1～A4, the civil power amplitude is larger, time is also longer, and civil power is larger at this region energy, and CPU counts to judge by the collection that detection drops on each interval whether civil power is unusual.
It is constant that data collection processor keeps CPU total in each cycle to gather the n that counts when design, then adjusting the CPU frequency acquisition according to the last cycle detection frequency of mains waveform is the acquisition time interval, therefore CPU can in time adjust according to the variation of incoming frequency the time interval of collection point, thereby so that frequency accuracy to the civil power abnormality detection in allowing variation range do not exert an influence.
The civil power abnormality detection is divided 5 kinds of situations, referring to accompanying drawing 2:
The high-end detection of civil power: CPU gathers line voltage absolute value waveform, if continuous acquisition is counted above design load in the I district, and civil power High Abnormal Pressure then;
The civil power low side detects: CPU gathers line voltage absolute value waveform, if continuous acquisition is counted above design load in the IV district, and civil power ultra-low pressure then;
Civil power energy measuring: CPU gathers A1～A4 waveform, adopt the sum of the point that falls within I district and II district be less than design load, then city's electric flux is unusual;
Civil power zero passage detection: CPU gathers A4～A7 waveform, adopt the sum of the point that falls within III district and IV district surpass design load, then city's electric flux is unusual, falls within the counting of IV district≤0, then the civil power zero crossing is unusual;
The civil power RMS to DC: judge the civil power effective value in the cycle in half waveform, if the civil power effective value exceeds the design allowed band, then the civil power amplitude is unusual.
The technical program is compared with background technology: this method takes full advantage of the characteristics of civil power sine wave and energy peak use rate and judges whether abnormal of civil power, therefore overcome the existing deficiency of background technology, and have following advantage: 1, experiment shows, this method is applicable to the different occasions of commercial Application, and is very effective to the civil power abnormality detection; 2, this method is insensitive to frequency, is applicable to the system of different frequency and amplitude.
Description of drawings:
Fig. 1: be structured flowchart of the present invention;
Fig. 2: be civil power abnormality detection synoptic diagram of the present invention;
Fig. 3: be civil power abnormality detection process flow diagram of the present invention.
Embodiment:
Such as Fig. 1,2,3: the lamp affixed to the ceiling that utilizes 90 lamp pearls.
Embodiment, see also the structured flowchart shown in the accompanying drawing 1, the present invention send sampling module to sample and rectification civil power, obtain the line voltage absolute value signal, then the civil power sampled signal being delivered to data collection processor judges, data collection processor gathers the signal of sampling module output and processes output civil power status signal, and this signal send the logic execution module.
Whether wherein the data processing method of data collection processor is to adopt software processing mode, unusual in order to judge civil power.Civil power is through behind the sampling module, obtain line voltage absolute value waveform, data collection processor gathers this waveform, take the line voltage waveform of one-period as example, referring to accompanying drawing 2, line voltage absolute value waveform to one-period, decide V1 (7/8 height), V2 (5/8 height) and three lines of V3 (1/8 height) are divided into 4 districts with waveform, for being the I district more than the V1, are the II district between V1 and the V2, it is the III district between V2 and the V3, V3 is following to be the IV district, and wherein the V1 line is civil power high pressure detection line, and the V3 line is civil power low pressure detection line, the V2 line is civil power energy measuring line, because in 0～A1 interval or A4～π interval, the civil power amplitude is less, the time is also shorter, civil power is less at this region energy, and interval at A1～A4, the civil power amplitude is larger, and the time is also longer, civil power is larger at this region energy, and the testing process of data collection processor is referring to accompanying drawing 3.
It is constant that data collection processor keeps CPU total in each cycle to gather the n that counts when design, then adjusting the CPU frequency acquisition according to the last cycle detection frequency of mains waveform is the acquisition time interval, therefore CPU can in time adjust according to the variation of incoming frequency the time interval of collection point, thereby so that frequency accuracy to the civil power abnormality detection in allowing variation range do not exert an influence.
The civil power abnormality detection is divided 5 kinds of situations, referring to accompanying drawing 2:
The high-end detection of civil power: CPU gathers line voltage absolute value waveform, and at civil power under normal circumstances, continuous acquisition is counted≤the n1 point of counting in the high-end A2 of civil power～A3 interval in the I district, if continuous acquisition is counted＞n1 in the I district, and civil power High Abnormal Pressure then;
The civil power low side detects: CPU gathers line voltage absolute value waveform, and at civil power under normal circumstances, continuous acquisition is counted≤the n2 point of counting in civil power low side A5～A6 interval in the IV district, if continuous acquisition is counted＞n2 in the IV district, and civil power ultra-low pressure then;
Civil power energy measuring: CPU gathers A1～A4 waveform, at civil power under normal circumstances, adopt the point that falls within I district and II district add up to n3, if at the sum＜n3 of the point that falls within I district and II district of A1～A4 district Nei Caide, then city's electric flux is unusual;
Civil power zero passage detection: CPU gathers A4～A7 waveform, at civil power under normal circumstances, adopt the point that falls within III district and IV district add up to n4, if the sum＞n4 at the point that falls within III district and IV district of A4～A7 district Nei Caide, then city's electric flux is unusual, if A4～A7 district Nei Caide fall within the counting of IV district≤0, then the civil power zero crossing is unusual;
The civil power RMS to DC: judge the civil power effective value in the cycle in half waveform, if the civil power effective value exceeds the design allowed band, then the civil power amplitude is unusual.
When data collection processor detects civil power and above any abnormality occurs, namely send abnormal signal to the logic execution module, send sound and light alarm, and the execution associative operation; If detect city's electro-detection that civil power normally then enters next cycle.
For different distribution systems, this data processing method is applicable equally, then adjusts CPU for different mains frequencies and gathers count n and judgment value n1, n2, n3, n4, then adjusts V1, V2, V3 value for different civil power amplitudes.
This method takes full advantage of the characteristics of civil power sine wave and energy peak use rate and judges whether abnormal of civil power, therefore overcome the existing deficiency of background technology, and have following advantage: 1, experiment shows, this method is applicable to the different occasions of commercial Application, and is very effective to the civil power abnormality detection; 2, this method is insensitive to frequency, is applicable to the system of different frequency and amplitude.
Obviously, the above embodiment of the present invention only is for example of the present invention clearly is described, and is not to be restriction to embodiments of the present invention.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here need not also can't give all embodiments exhaustive.And these belong to apparent variation or the change that spirit of the present invention extended out and still are among protection scope of the present invention.
Claims (2)
1. the method for quick of city's electrical anomaly, send sampling module to sample and rectification civil power, obtain the line voltage absolute value signal, then the civil power sampled signal being delivered to data collection processor judges, data collection processor gathers the signal of sampling module output and processes output civil power status signal, this signal send the logic execution module, it is characterized in that: the data processing method of described data collection processor is to adopt software processing mode to judge whether civil power is unusual;
This data processing method comprises:
Step S01, line voltage absolute value waveform to one-period, decide V1, three lines of V2 and V3 are divided into 4 districts with waveform, be the I district more than the V1, it is the II district between V1 and the V2, it is the III district between V2 and the V3, V3 is following to be the IV district, wherein the V1 line is civil power high pressure detection line, the V3 line is civil power low pressure detection line, and the V2 line is civil power energy measuring line, and A1 is the described line voltage absolute value waveform in 0～pi/2 interval and the intersection point of V2 line, A4 is the described line voltage absolute value waveform in pi/2～π interval and the intersection point of V2 line, and A7 is the described line voltage absolute value waveform in π～3 pi/2 intervals and the intersection point of V2 line;
Step S02, it is constant to keep CPU total in each cycle to gather the n that counts when design, then adjusts the CPU frequency acquisition according to the last cycle detection frequency of mains waveform;
Step S03, civil power abnormal state detect to judge minute 5 kinds of situations, and the high-end detection of (1) civil power: CPU gathers line voltage absolute value waveform, if continuous acquisition is counted above design load in the I district, and civil power High Abnormal Pressure then; (2) the civil power low side detects: CPU gathers line voltage absolute value waveform, if continuous acquisition is counted above design load in the IV district, and civil power ultra-low pressure then; (3) civil power energy measuring: CPU gathers A1～A4 waveform, adopt the sum of the point that falls within I district and II district be less than design load, then city's electric flux is unusual; (4) civil power zero passage detection: CPU gathers A4～A7 waveform, adopt the sum of the point that falls within III district and IV district above design load, then city's electric flux is unusual, falls within the counting of IV district≤0, then the civil power zero crossing is unusual; (5) civil power RMS to DC: judge the civil power effective value in the cycle in half waveform, if the civil power effective value exceeds the design allowed band, then the civil power amplitude is unusual;
Step S04 if when above any abnormality appears in civil power, namely send abnormal signal to the logic execution module, sends sound and light alarm, carries out simultaneously associative operation; If detect city's electro-detection that civil power normally then enters next cycle.
2. the method for quick of a kind of city according to claim 1 electrical anomaly, it is characterized in that: be applicable to different distribution systems, then adjust total CPU for different mains frequencies and gather count n and each state judgment value, then adjust V1, V2, V3 value for different civil power amplitudes.
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Family Cites Families (5)
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| KR100419303B1 (en) * | 1999-05-27 | 2004-02-21 | 시나노 덴키 가부시키가이샤 | Power transmission apparatus and method for power transmission |
| JP3328227B2 (en) * | 1999-06-22 | 2002-09-24 | 株式会社エヌ・ティ・ティ・データ | Data communication system |
| CN100359792C (en) * | 2004-03-05 | 2008-01-02 | 力博特公司 | Method for detecting broken line fault between rectifier zero line of uninterrupted power source and electrified wire netting zero line |
| CN101789580B (en) * | 2009-01-25 | 2014-07-09 | 张佩佩 | Fault detection and protection method of power-supply system and device for realizing same |
| CN101777785B (en) * | 2010-03-24 | 2012-09-26 | 胡继业 | Uninterrupted power supply (UPS) electricity separating system and electricity separating method based on dynamic environment monitoring |
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