CN118669740A - Household internal combustion gas pipeline leakage hidden danger monitoring system - Google Patents

Abstract

The present invention relates to the field of gas pipeline monitoring technology, and specifically, to a system for monitoring hidden dangers of indoor gas pipeline leakage. It includes a detection alarm, which is used to monitor the concentration of combustible gas in the air where the combustible gas detection module is located; an intelligent linkage measurement and control valve is used to control the gas supply status of gas-using equipment; a cloud platform evaluates the risk of indoor pipeline leakage based on the detected air pressure and temperature data in the household gas pipeline and the gas consumption of the gas-using equipment based on a leakage assessment model. The leakage risk in the house is remotely assessed through the leakage assessment model, which further improves the safety of the use of the indoor gas pipeline system; a rapid leakage risk assessment and an accurate leakage risk assessment are respectively achieved through a rough assessment model and a precise assessment model, taking into account both early detection of leakage and improved accuracy of leakage identification.

Description

A monitoring system for indoor gas pipeline leakage hazards

Technical Field

The present invention relates to the technical field of gas pipeline monitoring, and in particular to a system for monitoring hidden dangers of leakage of indoor gas pipelines.

Background Art

At present, quite a number of domestic urban gas companies do not have a sound information-based and intelligent gas leakage monitoring and control system solution for their urban gas safety management. The safe operation of urban gas is in a blind box management state, resulting in the inability to take timely emergency measures when gas leakage hazards occur, and the safety risks are high and difficult to prevent and control.

At present, the gas safety products commonly used by residential gas users in the market include mechanical shut-off valves, gas concentration alarms + shut-off valves and self-closing valves. Due to technical defects, poor reliability or limitations in performance, these products have poor performance and are difficult to prevent gas leakage hazards to the maximum extent. Therefore, it is necessary to develop and build a stable, reliable and intelligent gas pipeline leakage hazard monitoring system to timely discover gas safety hazards and automatically and effectively control them to prevent them from happening. Only in this way can the occurrence of gas leakage accidents be avoided as much as possible. In view of this, a monitoring system for indoor gas pipeline leakage hazards is designed.

Summary of the invention

The purpose of the present invention is to provide an indoor gas pipeline leakage hazard monitoring system to solve the problem mentioned in the above background technology that the gas safety products commonly used by residential gas users on the market include mechanical shut-off valves, gas concentration alarms + shut-off valves and self-closing valves. Due to technical defects, poor reliability or limitations in performance, these products have poor performance and are difficult to prevent gas leakage hazards to the greatest extent.

To achieve the above object, the present invention aims to provide an indoor gas pipeline leakage hidden danger monitoring system, including a detection alarm, the detection alarm is used to monitor the combustible gas concentration in the air where the combustible gas detection module is located;

An intelligent linkage measuring and controlling valve, which is used to control the gas supply status of gas-using equipment and detect the air pressure and air temperature in the household gas pipeline, and is installed between the household gas pipeline and the gas-using equipment;

A cloud platform, wherein the cloud platform evaluates the risk of indoor pipeline leakage based on the detected gas pressure and temperature data in the household gas pipeline and the gas consumption of the gas-using equipment based on the leakage assessment model. When the indoor pipeline leakage risk exceeds a preset value, the cloud platform controls the display module to issue an alarm prompt and controls the intelligent linkage measurement and control valve to cut off the gas source;

The leakage assessment model includes a rough assessment model and a precise assessment model. The rough assessment model calculates the average increment of the increment of the periodic gas consumption of users in the same area based on the increment of the periodic gas consumption of users in the same area.

The precise assessment model is based on the standard measured gas volume of the gas-using equipment, compares the standard measured gas volume with the gas meter gas volume, and determines whether there is a risk of leakage in the user's indoor gas pipeline.

As a further improvement of the technical solution, the detection alarm includes a combustible gas detection module, a prompt module and a first communication module;

Among them, the combustible gas detection module is used to detect the combustible gas concentration value in the air, and the first communication module establishes a communication connection with the intelligent linkage measurement and control valve, and the prompt module issues an alarm based on the feedback of the intelligent linkage measurement and control valve.

As a further improvement of the technical solution, the intelligent linkage measurement and control valve includes a pressure sensing module, a temperature sensing module, an air source opening and closing module, a display module, a second communication module and a main control module;

Wherein, the pressure sensing module is used to detect the gas pressure in the indoor gas pipeline;

The temperature sensing module is used to detect the temperature in the indoor gas pipeline;

The gas source opening and closing module is used to execute the opening and closing of the gas source;

The main control module is used to control the state of the gas source opening and closing module and the alarm state of the display module and the prompt module;

The second communication module establishes a communication connection with the first communication module, and sends the combustible gas concentration value detected by the combustible gas detection module to the second communication module.

As a further improvement of the technical solution, if the increment of the periodic gas consumption of the user exceeds the average increment, the rough assessment model determines that there is a leakage risk in the indoor gas pipeline of the corresponding user;

If the difference between the standard measured gas volume and the gas meter gas volume exceeds a preset threshold, the precise assessment model determines that there is a risk of leakage in the corresponding user's indoor gas pipeline;

If the rough assessment model or the precise assessment model determines that there is a risk of leakage in the user's indoor gas pipeline, the cloud platform controls the prompt module or the display module to issue an alarm prompt.

As a further improvement of the technical solution, when the rough assessment model assesses the risk of indoor pipeline leakage, the following steps are performed:

Divide a year into several periods and read the gas consumption of each user's gas meter within the period ;

Calculate the total gas consumption of each user in the period and the increment compared with the previous period;

Divide users into a group by region, calculate the mean of the increments of all users in the group, and record it as the first mean;

The difference between the increment amplitude of each user and the first mean is calculated. If the difference exceeds a preset value, it is determined that there is a risk of leakage in the user's indoor gas pipeline, and the cloud platform controls the prompt module to issue an alarm prompt.

As a further improvement of the technical solution, when the rough assessment model assesses the risk of indoor pipeline leakage, the following steps are also performed:

After dividing users into a group by region, they are further divided into subgroups according to their gas usage patterns. The gas usage patterns of users in the subgroups are similar;

Calculate the mean of the increment magnitudes of all users in the subgroup and record it as the reference mean;

If the difference between the user's incremental amplitude and the reference mean exceeds a preset value, it is determined that there is a risk of leakage in the user's indoor gas pipeline, and the cloud platform controls the prompt module to issue an alarm prompt.

As a further improvement of the technical solution, the method of dividing users into subgroups according to gas usage patterns includes:

According to the gas pressure, temperature, start-up time, shutdown time and gear sequence of the gas-using equipment in the household gas pipeline corresponding to the user, the user's gas flow is calculated according to the preset time step to obtain the gas flow time series curve;

Divide the gas flow timing curve of the user into preset characteristic segments to obtain a characteristic segment sequence, wherein the preset characteristic segments include a short stable characteristic segment, a medium stable characteristic segment, a long stable characteristic segment and an inclined characteristic segment, wherein the short stable characteristic segment refers to a gas flow timing curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset first time interval, the medium stable characteristic segment refers to a gas flow timing curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset second time interval, the long stable characteristic segment refers to a gas flow timing curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset third time interval, and the inclined characteristic segment refers to a gas flow timing curve segment in which the slope of the gas flow timing curve exceeds a preset value;

The characteristic fragment sequences are clustered using a clustering algorithm to obtain several cluster groups, where the cluster groups in the cluster groups are used as subgroups.

As a further improvement of the technical solution, when the precise assessment model assesses the risk of indoor pipeline leakage, the following steps are performed:

According to the air pressure detected by the pressure sensing module and the air temperature detected by the temperature sensing module, the air temperature, the air pressure and the associated duration are used as combined data to obtain a sequence ,

in , is the number of combined data in the sequence, to Indicates that the temperature is maintained And the air pressure is maintained The start and end times;

Obtain the gas flow rate within the cycle based on the start time, shutdown time and gear sequence of the gas-consuming equipment within the cycle ;

Calculate the adjustment factor ,in is the measurement standard temperature, For the measurement standard pressure, calculate the standard measurement gas volume ;

Calculate the standard metering gas volume Gas consumption with gas meter The Difference ,difference As the risk of indoor pipe leakage, if the difference If the preset threshold is exceeded, the cloud platform controls the display module to issue an alarm.

As a further improvement of this technical solution, the precise evaluation model obtains the sequence , perform the following steps:

Set the temperature range And pressure range , respectively, according to the preset temperature step length and pressure step length, the temperature value interval Divided into temperature aggregate sets , the pressure value interval Pressure integration ;

The temperature is normalized according to the closest temperature in the temperature normalization set, and the detection value of the pressure sensing module is normalized according to the closest air pressure in the air pressure normalization set;

Arrange the normalized air temperature and the pressure sensing module detection value in the order of the time axis;

Get the start and end times for each temperature and pressure to remain constant and , that is, to obtain all sequences .

Compared with the prior art, the present invention has the following beneficial effects:

In the indoor gas pipeline leakage hidden danger monitoring system, the indoor pipeline gas leakage, pressure abnormality, and ambient gas concentration are monitored and alarmed in real time online, and the gas supply of the indoor pipeline is automatically cut off, which effectively improves the safety of the indoor gas pipeline system and effectively prevents and reduces the risk of gas safety accidents caused by gas leakage and gas pressure abnormality in the gas pipeline system;

The detection data is collected through the cloud platform to form data records, and the leakage risk in the house is remotely assessed through the leakage assessment model, which further improves the safety of the use of indoor gas pipeline systems; the rough assessment model and the precise assessment model are used to achieve rapid leakage risk assessment and accurate leakage risk assessment respectively, taking into account both the early detection of leakage and the improvement of the accuracy of leak identification.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of the installation position of an indoor gas pipeline leakage hazard monitoring system according to an embodiment of the present invention.

FIG. 2 is a schematic diagram of the structure of an indoor gas pipeline leakage hazard monitoring system according to an embodiment of the present invention.

FIG3 is a schematic diagram of the structure of the intelligent linkage measurement and control valve according to an embodiment of the present invention.

FIG. 4 is an exploded schematic diagram of the structure of the intelligent linkage measurement and control valve according to an embodiment of the present invention.

FIG. 5 is a schematic diagram of a detection alarm according to an embodiment of the present invention.

FIG6 is a schematic diagram of steps for evaluating the risk of indoor pipe leakage using a general evaluation model according to an embodiment of the present invention.

FIG. 7 is a schematic diagram of steps for evaluating the risk of indoor pipeline leakage through subgroups according to an embodiment of the present invention.

FIG8 is a schematic diagram of dividing feature segments according to an embodiment of the present invention.

FIG9 is a schematic diagram of steps for evaluating the risk of indoor pipe leakage using an accurate evaluation model according to an embodiment of the present invention.

FIG. 10 is a schematic diagram of dividing subgroups according to an embodiment of the present invention.

The meaning of each number in the figure is:

1. Lower shell, 2. Cloud head, 3. Union nut, 4. Sealing gasket, 5. Ball valve, 6. Pressure sensor, 7. Main control circuit board, 8. Controller box, 9. Sealing ring, 10. Anti-tampering cap, 11. Button, 12. Transparent window, 13. Battery cover, 14. Battery, 15. Battery shrapnel, 100. Household gas valve, 200. Cloud platform, 300. Intelligent linkage measurement and control valve, 301. Pressure sensing module, 302. Temperature sensing module, 303. Gas source opening and closing module, 304. Display module, 305. Second communication module, 306. Main control module, 400. Detection alarm, 401. Combustible gas detection module, 402. Prompt module, 403. First communication module, 500. Gas using equipment.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

Before introducing the technical solution of this embodiment, the application scenario of this embodiment is introduced.

Since gas is flammable and explosive, once gas supply and use facilities leak, serious accidents such as fire, explosion and poisoning are very likely to occur. Prevention of indoor gas safety accidents and hidden danger management are important topics in the gas industry and important control content of urban public safety. At present, there are common safety solutions for indoor pipeline gas leakage: First, concentration alarm + cut-off valve. The core gas-sensitive element of its combustible gas concentration alarm is easily contaminated by oil smoke, resulting in decreased sensitivity, and is easily affected by the environment and causes failure and false alarms. It requires regular maintenance and professional inspection, which has become a potential hidden danger in use; and it cannot perceive the common small leakage hazards of pipeline gas. Second, pipeline gas self-closing valve. It can only automatically close the valve at ultra-high pressure and ultra-low pressure. For example, commonly used products only provide local pressure abnormality protection for users' gas stoves and their connecting hoses. However, it cannot automatically monitor common pipeline gas leakage hazards, cannot alarm, and is inconvenient to use and operate. In addition, the commonly used self-closing valve is not intelligent and information-based, and its safety control efficiency for gas hazards is local and limited.

According to statistics, gas safety accidents in households are mainly caused by gas leaks. Gas leakage factors are complex, especially for some potential leaks, there is a lack of efficient monitoring methods. Because traditional gas concentration alarms cannot detect leaks, as well as leaks in pipes sandwiched between walls. Once tiny gas leaks accumulate in a relatively closed space, they accumulate to the explosion limit over time, and serious explosion accidents are very likely to occur, causing huge losses. Today, quite a number of urban gas companies do not have a sound information-based, intelligent gas leak monitoring and control system solution for their urban gas safety management, and are in a blind box management state for the safe operation of urban gas, resulting in the inability to promptly discover and deal with potential gas leaks, resulting in high safety risks and difficult prevention and control.

Example

In order to improve the monitoring of indoor gas pipeline leakage and improve the accuracy and sensitivity of indoor pipeline leakage detection, this embodiment provides an indoor gas pipeline leakage hidden danger monitoring system. Please refer to Figure 1. The indoor gas pipeline leakage hidden danger monitoring system provided by this embodiment includes at least one detection alarm 400, an intelligent linkage measurement and control valve 300 and a cloud platform 200. The detection alarm 400 is used to monitor the combustible gas concentration in the air at the location of the combustible gas detection module 401;

The intelligent linkage measuring and controlling valve 300 is used to control the gas supply state of the gas-using equipment 500 and detect the gas pressure and temperature in the household gas pipeline, and the intelligent linkage measuring and controlling valve 300 is installed between the household gas pipeline and the gas-using equipment 500;

The cloud platform 200 evaluates the risk of indoor pipeline leakage based on the detected gas pressure and temperature data in the household gas pipeline and the gas consumption of the gas-using equipment 500 based on the leakage assessment model. When the risk of indoor pipeline leakage exceeds the preset value, the cloud platform 200 controls the display module 304 to issue an alarm prompt and controls the intelligent linkage measurement and control valve 300 to cut off the gas source.

The leakage assessment model includes a rough assessment model and a precise assessment model. The rough assessment model calculates the average increment of the increment of the periodic gas consumption of users in the same area based on the increment of the periodic gas consumption of users in the same area. The cloud platform 200 runs the rough assessment model and the precise assessment model in a preset period.

The precise assessment model is based on the standard measured gas volume of the gas-using device 500, compares the standard measured gas volume with the gas meter gas volume, and determines whether there is a risk of leakage in the user's indoor gas pipeline.

In this embodiment, the intelligent linkage measurement and control valve 300 is connected after the household gas valve 100 and before all gas-using equipment 500, so that the intelligent linkage measurement and control valve 300 can cut off the gas supply of all gas-using equipment 500, and can detect the air pressure and temperature in the household gas pipeline. At least one detection alarm 400 is installed near the indoor gas-using equipment 500 and the gas pipeline, and is used to monitor the concentration of combustible gas in the air at the location. Recommended installation locations include the upper position near the gas-using equipment 500, the upper part along the indoor gas pipeline, and other locations.

2 , the detection alarm 400 provided in this embodiment includes a combustible gas detection module 401 , a prompt module 402 and a first communication module 403 ;

Among them, the detection alarm 400 is installed indoors, the combustible gas detection module 401 is used to detect the combustible gas concentration value in the air, and the first communication module 403 establishes a communication connection with the intelligent linkage measurement and control valve 300, and the prompt module 402 issues an alarm based on the feedback of the intelligent linkage measurement and control valve 300.

The intelligent linkage measurement and control valve 300 includes a pressure sensing module 301, a temperature sensing module 302, an air source opening and closing module 303, a display module 304, a second communication module 305 and a main control module 306;

Among them, the pressure sensing module 301 is used to detect the gas pressure in the indoor gas pipeline;

The temperature sensing module 302 is used to detect the temperature in the indoor gas pipeline;

The gas source opening and closing module 303 is used to execute the opening and closing of the gas source;

The main control module 306 is used to control the state of the gas source opening and closing module 303 and the alarm state of the display module 304 and the prompt module 402;

In this embodiment, the intelligent linkage measurement and control valve 300 is connected between the household gas pipeline and the gas-using equipment 500; the pressure sensing module 301, the gas source opening and closing module 303, the display module 304 and the second communication module 305 are all connected to the main control module 306;

The second communication module 305 establishes a communication connection with the first communication module 403 , and sends the combustible gas concentration value detected by the combustible gas detection module 401 to the second communication module 305 .

Refer to Figures 3 and 4, which are schematic diagrams of the structure of the intelligent linkage measurement and control valve 300 used in this embodiment. The intelligent linkage measurement and control valve 300 used in this embodiment includes a connecting pipe and an intelligent measurement and control box arranged on the connecting pipe, and both ends of the connecting pipe are connected to the household gas pipeline. The connecting pipe includes a lower shell 1, two cloud heads 2, two union nuts 3, two sealing pads 4, a pressure sensor 6, a temperature sensor and a ball valve 5. The lower shell 1 is sealed and connected to the intelligent measurement and control box to form a sealed cavity. A cloud head 2 is connected to the front and rear ends of the lower shell 1 respectively, and the ball valve 5 is arranged in the cavity formed by the lower shell 1 and the intelligent measurement and control box. The cloud head 2 is connected to the ball valve 5, and a sealing pad 4 is used between the cloud head 2 and the ball valve 5 to form a sealed connection. Both cloud heads 2 are provided with union nuts 3, and the cloud heads 2 are connected to the household gas pipeline through the union nuts 3. A groove for installing a pressure sensor 6 is provided on the ball valve 5, and the pressure sensor 6 is installed in the groove. The pressure sensor 6 detects the gas pressure of the gas. The groove is arranged before the valve of the ball valve 5, so that the pressure sensor 6 can detect the gas pressure of the gas regardless of whether the ball valve 5 is closed or opened.

The ball valve 5 is provided with a groove for installing a temperature sensor, and the temperature sensor detects the gas temperature in the household gas pipeline.

The intelligent measurement and control box includes a controller box 8, a main control circuit board 7, a display screen, a power supply module, a button 11 and a transparent window 12. The controller box 8 is sealed and connected to the lower shell 1 to form the aforementioned sealed cavity. The controller box 8 is also used to accommodate the main control circuit board 7, the display screen and other components. The main control module 306, the gas source opening and closing module 303 and the second communication module 305 are installed on the main control circuit board 7.

The display screen, pressure sensor 6 and temperature sensor are all connected to the main control module 306. The pressure sensor 6 serves as the pressure sensing module 301, and the temperature sensor serves as the temperature sensing module 302. The control end of the ball valve 5 is connected to the gas source opening and closing module 303. The power supply module includes a battery 14 box, a plurality of battery 14 box battery shrapnel 15, and the battery 14 is installed in the battery 14 box in a conventional manner. A battery cover 13 is provided on the battery 14 box, and a sealing ring 9 is installed between the battery 14 box and the controller box 8. The button 11 is installed on the controller box 8, and a transparent window 12 is provided on the controller box 8. The position of the transparent window 12 corresponds to the position of the display screen, and the button 11 is used to trigger the display of the display screen. On the other hand, the controller box 8 is connected to the lower shell 1 with screws, and the controller box 8 is provided with an anti-disassembly cap 10 for covering the screws to prevent the screws from being disassembled privately. The intelligent linkage measurement and control valve 300 can receive the pressure alarm signal of the pressure sensor 6 and instruct the gas source opening and closing module 303 to cut off the gas source; it can receive the alarm concentration signal of the detection alarm 400 and instruct the gas source opening and closing module 303 to cut off the gas source; it can collect and transmit the alarm information to the cloud platform 200 monitoring system and analyze and judge the data; it can also accept remote control instructions and timed control instructions to cut off the gas source through the gas source opening and closing module 303.

On the other hand, please refer to FIG5, which is a schematic diagram of the detection alarm 400 used in this embodiment. The detection alarm 400 includes a detection shell, a combustible gas detection module 401, a prompt module 402 and a first communication module 403. The detection shell is provided with an air intake grid on the side and bottom of the detection shell. The combustible gas detection module 401 is installed in the detection shell, and the position of the combustible gas detection module 401 corresponds to the air intake grid. The prompt module 402 includes an alarm indicator light, a speaker and a sound outlet hole provided on the detection shell. The alarm indicator light is provided on the surface of the detection shell. A detection button 11 is also provided on the detection shell. When the detection button 11 is pressed, the combustible gas detection module 401 is immediately triggered to perform a detection.

The combustible gas detection module 401 is connected to the first communication module 403, and is used to send the detection results to the second communication module 305, and send them to the cloud platform 200 through the second communication module 305. The first communication module 403 can use short-range wireless communication modules, such as Bluetooth, WiFi, ZigBee, 3/4/5G and UWB. The second communication module 305 needs to use a technology that can support long-distance transmission, preferably WiFi, NB-IOT, 3/4/5G or a wired communication module. It is best that the second communication module 305 is a WiFi communication module, and the second communication module 305 is connected to a wireless gateway that can provide wired network communication. The control end of the alarm indicator light and the speaker is connected to the first communication module 403, and the port provided by the first communication module 403 provides a control signal to realize the control of the working status of the alarm indicator light and the speaker. The alarm sound emitted by the speaker is a fixed audio, which is pre-recorded in the speaker.

As another mode of this embodiment, the intelligent linkage measurement and control valve 300 is also integrated with an Internet of Things module, which directly interacts with the network server data through a telecommunications or mobile platform, realizes the interactive connection between the collected field data and the background monitoring management system, and regularly reports the collected data and equipment status to the background management system, and sets parameters, such as the regular reporting interval, the upper limit of the alarm pressure, the lower limit of the alarm pressure, the timed valve closing time, the leakage pressure drop percentage and query, to provide decision-making data for gas safety management and control.

The intelligent linkage measurement and control valve 300 uploads data to the cloud platform 200 in not only regular uploading, but also in the following situations:

The intelligent linkage measurement and control valve 300 uploads relevant parameters such as pipeline pressure, pipeline temperature, security inspection results, combustible gas concentration, battery 14 power, current intelligent linkage measurement and control valve 300 status, wireless network signal quality, etc.; and the uploaded data packet should also include parameters such as the number of the intelligent linkage measurement and control valve 300, basic information of the SIM card (such as ICCID), and wireless network signal quality (CSQ);

When the intelligent linkage measurement and control valve 300 detects that the gas pressure of the indoor gas pipeline exceeds the upper limit or lower limit, the upper limit is 8kPa+0.2kPa, and the lower limit is 8kPa-0.2kPa, or the combustible gas concentration detected by the detection alarm 400 exceeds the limit, such as when the measured environmental concentration exceeds the alarm concentration setting value, within the range of 5%LEL-20%LEL, the data will be uploaded immediately;

When the intelligent linkage measurement and control valve 300 detects that the battery 14 power information changes from a non-alarm state to an alarm state, data is uploaded immediately;

The intelligent linkage measurement and control valve 300 supports real-time collection or triggering of data upload on site, such as button triggering;

When data upload is interrupted because the network signal used by the intelligent linkage measurement and control valve 300 is interrupted and there is no other signal coverage; when the network signal is restored, the intelligent linkage measurement and control valve 300 can automatically reconnect to the network and report relevant information during the signal interruption.

In this embodiment, if the increment of the periodic gas consumption of the user exceeds the average increment, the rough assessment model determines that there is a leakage risk in the indoor gas pipeline of the corresponding user;

If the difference between the standard measured gas volume and the gas meter gas volume exceeds a preset threshold, the precise assessment model determines that there is a risk of leakage in the corresponding user's indoor gas pipeline;

If the rough assessment model or the precise assessment model determines that there is a risk of leakage in the user's indoor gas pipeline, the cloud platform 200 controls the prompt module 402 or the display module 304 to issue an alarm prompt.

Specifically, when the air pressure exceeds the limit (overpressure or underpressure setting value), the main control module 306 controls the air source opening and closing module 303 to close and controls the display module 304 to issue an alarm;

When the combustible gas concentration value detected by the detection alarm 400 exceeds the preset value, the main control module 306 controls the gas source opening and closing module 303 to close and controls the prompt module 402 to issue an alarm;

The main control module 306 immediately packages the detection value of the pressure sensing module 301, the detection value of the temperature sensing module 302, the equipment working data, the status of the gas source opening and closing module 303 and the status of the detection alarm 400 into detection data when there is a potential leakage or abnormal pressure, or periodically when there is no potential leakage, and the second communication module 305 establishes a communication connection with the cloud platform 200, and the cloud platform 200 receives the detection data;

The cloud platform 200 runs a leakage assessment model, which periodically calculates the leakage assessment model based on the detection data and gas meter gas consumption. , assess the risk of indoor pipeline leakage. When the risk of indoor pipeline leakage exceeds a preset value, the cloud platform 200 controls the display module 304 to issue an alarm and controls the intelligent linkage measurement and control valve 300 to cut off the gas source.

Please refer to FIG. 6 . In this embodiment, when the rough assessment model assesses the risk of indoor pipeline leakage, the following steps are performed:

Step A01: Divide a year into several periods and read the gas consumption of each user's gas meter within the period ;

Step A02: Calculate the total gas consumption of each user in the period and the increment compared with the previous period;

Step A03: Divide the users into a group according to the region, calculate the mean of the increment amplitudes of all users in the group, and record it as the first mean;

Step A04: Calculate the difference between the increment amplitude of each user and the first mean value. If the difference exceeds a preset value, it is determined that there is a leakage risk in the user's indoor gas pipeline.

The cloud platform 200 controls the prompt module 402 to issue an alarm prompt.

In this embodiment, a year is divided into four cycles, that is, each quarter is a cycle, which includes three months in total. The best cycle division method is to match the natural season, that is, each natural season is a cycle. The cloud platform 200 reads the gas meter gas consumption of the user within the cycle , gas meter gas consumption The user's gas meter reports the gas usage to the cloud platform 200. The user's gas meter reports the gas usage to the cloud platform 200, which is a prior art and a practical application, and will not be described here. After that, the increment is calculated compared with the previous cycle. Although there is randomness in the daily gas consumption of users. However, the gas consumption of the entire cycle will be able to eliminate the randomness of the user's use of gas, so as to reflect the law of gas consumption changes caused by the state of the gas-using equipment 500 and the environment. By further dividing the users by region, the users in the same region are compared horizontally to eliminate the changes in gas consumption caused by environmental changes, so that the changes in gas consumption within the cycle mainly reflect the changes in the state of the gas-using equipment 500 and the indoor pipeline. If the user has a similar increment compared with other users, it means that the surface gas-using equipment 500 and the indoor pipeline are in good condition, and it is determined that there is no leakage. If the user has a significantly larger increment compared with other users in the same region. Either the user's gas usage habits have changed and the gas consumption has increased. If the user has not changed his gas usage habits, it is necessary to consider the risk of leakage in the user's indoor pipeline, and it is necessary to arrange personnel to visit and check, and control the detection alarm 400 to sound an alarm, prompting the user to check and maintain good ventilation in the room.

In the above steps, the first mean includes all users in the same area. Since the gas usage habits of users will affect the incremental amplitude, the accuracy of the first mean is relatively low. To this end, this embodiment provides a technical solution for further dividing users in the same area into subgroups. And the subgroups are divided according to the gas usage habits of the users. Further eliminate the influence of differences in users' gas usage habits on the reference value of the first mean. When the incremental amplitude of the user is significantly different from that of the reference mean, it means that the user has suddenly changed his gas usage habits or there is a leak in the indoor pipeline. At this time, an alarm should be issued through the detection alarm 400. If the user knows that he has changed his gas usage habits, he does not need to worry too much about leakage. Otherwise, personnel should be arranged to conduct on-site inspections, and users can also take the initiative to make an appointment for on-site inspections.

Please refer to FIG. 7 , when the rough assessment model assesses the risk of indoor pipeline leakage, the following steps are also performed:

Step B01: After dividing users into a group according to region, further divide users into subgroups according to gas usage patterns, and the gas usage patterns of users in the subgroups are similar;

Step B02: Calculate the mean of the increment amplitudes of all users in the subgroup and record it as the reference mean;

Step B03: If the difference between the user's incremental amplitude and the reference mean exceeds a preset threshold, it is determined that there is a risk of leakage in the user's indoor gas pipeline;

The cloud platform 200 controls the prompt module 402 to issue an alarm prompt.

In this embodiment, a specific method for dividing users into subgroups according to gas usage patterns is provided, including:

According to the gas pressure, temperature, start time, shutdown time and gear timing of the gas-using device 500 in the household gas pipeline corresponding to the user, the gas flow rate of the user is calculated according to the preset time step to obtain the gas flow timing curve;

Divide the gas flow time series curve of the user into preset characteristic segments to obtain a characteristic segment sequence, wherein the preset characteristic segments include a short stable characteristic segment, a medium stable characteristic segment, a long stable characteristic segment and an inclined characteristic segment, wherein the short stable characteristic segment refers to a gas flow time series curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset first time interval, the medium stable characteristic segment refers to a gas flow time series curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset second time interval, the long stable characteristic segment refers to a gas flow time series curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset third time interval, and the inclined characteristic segment refers to a gas flow time series curve segment in which the slope of the gas flow time series curve exceeds a preset value;

The characteristic fragment sequences are clustered using a clustering algorithm to obtain several cluster groups, where the cluster groups in the cluster groups are used as subgroups.

By using the short stable characteristic segment, the medium stable characteristic segment, the long stable characteristic segment and the inclined characteristic segment proposed in this embodiment, the gas flow curve is greatly simplified, which not only improves the efficiency of dividing subgroups. More importantly, the detailed features of a large number of gas flows are hidden, and only the gas flow rules that conform to the characteristic segments are retained. Please refer to Figure 8. It can be seen that the user with the largest gas flow and the user with the smallest gas flow, although the difference in the gas flow time series curve is large, after dividing the characteristic segments, it can be found that the gas usage rules of the two are very close and can be divided into the same subgroup. The incremental amplitudes of the two are of mutual reference significance. After the gas flow time series curve of the remaining user is divided into characteristic segments, it is obviously different from the first two. In this embodiment, the specific method of dividing the characteristic segments is as follows: the characteristic segment is represented by a characteristic code, and the corresponding relationship between the characteristic code and the characteristic segment is: ST1-short stable characteristic segment, ST2-medium stable characteristic segment, ST3-long stable characteristic segment, BI-inclined characteristic segment. The user's gas flow time series curve is matched with the characteristic fragments, and a characteristic fragment sequence is obtained after matching. The characteristic fragment sequence is represented by a sequence of characteristic codes, and a characteristic code sequence of each user's gas flow time series curve is obtained. Since the characteristic code sequence is in text data format and cleverly hides a large number of unnecessary details of the gas flow size, only the characteristics of the gas flow change are retained, which will effectively extract the user's gas usage habit characteristics. Moreover, storing and comparing the characteristic code sequence in text format will be more efficient and take up less storage space.

Please refer to FIG. 9 , when the precise assessment model assesses the risk of indoor pipeline leakage, the following steps are performed:

Step C01: Based on the air pressure detected by the pressure sensing module 301 and the temperature detected by the temperature sensing module 302, the temperature, air pressure and associated duration are used as combined data to obtain a sequence ;

in , is the number of combined data in the sequence, to Indicates that the temperature is maintained And the air pressure is maintained The start and end times;

Step C02: Obtaining the gas flow rate within the cycle according to the start time, shut down time and gear timing of the gas-consuming device 500 within the cycle ;

Step C03: Calculate the adjustment factor ,in is the measurement standard temperature, For the measurement standard pressure, calculate the standard measurement gas volume ;

Step C04: Calculate the standard gas volume Gas consumption with gas meter The Difference ,difference As the risk of indoor pipe leakage, if the difference If the preset threshold is exceeded, the cloud platform 200 controls the display module 304 to issue an alarm prompt.

When the temperature and pressure remain within a certain small range, the temperature and pressure are considered to remain constant. The pressure and temperature are divided into multiple combined data to calculate the standard metering gas volume ; Gas meter gas consumption Similarly, the gas flow rate is converted into the flow rate under standard pressure and standard temperature, and then the gas volume is calculated.

Please refer to FIG. 10 , the accurate evaluation model in the cloud platform 200 obtains the sequence , perform the following steps:

Step D01: Set the temperature range And pressure range , respectively, according to the preset temperature step length and pressure step length, the temperature value interval Divided into temperature aggregate sets , the pressure value interval Pressure integration ;

Step D02: normalizing the temperature according to the closest temperature in the temperature normalization set, and normalizing the detection value of the pressure sensing module 301 according to the closest air pressure in the air pressure normalization set;

Step D03: sorting the normalized air temperature and the detection value of the pressure sensing module 301 according to the time axis sequence;

Step D04: Obtain the start and end times for each temperature and pressure to remain constant and , that is, to obtain all sequences ;

When the range in which the temperature and pressure are considered to remain constant is selected to be smaller, that is, when both the temperature step and the pressure step are smaller, more combined data will be obtained. Although the amount of data calculation increases, the calculation accuracy of the standard gas volume is also increased. On the contrary, if the operating efficiency of the accurate assessment model is improved, the range in which the temperature and pressure are considered to remain constant is selected to be larger, that is, when both the temperature step and the pressure step are larger. Although it will lead to the standard gas volume The calculation accuracy is lower, but only needs to be adjusted accordingly The corresponding preset threshold value can eliminate such influence. Because the changes in temperature and air pressure have roughly the same rules for all users. When the calculation accuracy of The error of is basically the same. Therefore, only appropriate adjustment is needed The corresponding preset threshold value can still realize the leakage alarm;

On the other hand, this embodiment may also include an intelligent controller. The intelligent linkage measurement and control valve 300 is installed on the indoor gas pipeline at the outlet of the gas meter. The intelligent controller can be independently installed on the wall near the installation position of the intelligent linkage measurement and control valve 300, or flexibly placed in a convenient and safe place indoors. The detection alarm 400 is independently installed on the wall inside the gas-using room. The intelligent linkage measurement and control valve 300 can communicate with the detection alarm 400 and the intelligent controller via Bluetooth to quickly realize air pressure monitoring, gas source cut-off interlocking measurement and control and alarm functions, and quickly realize combustible gas concentration monitoring and gas source cut-off interlocking measurement and control and alarm functions; the main control module 306 and the intelligent controller are set to automatically and safely monitor pipeline gas leaks at an appropriate time every day. Among them, the intelligent controller independently configured by the system will also issue an audible and visible alarm.

In this embodiment, the intelligent controller serves as the control component of the intelligent linkage measurement and control valve 300 and is convenient for users to use in daily operations. It has a friendly and user-friendly interface and communicates with the intelligent linkage measurement and control valve 300 via Bluetooth, thereby realizing valve control, parameter setting and query in the intelligent linkage measurement and control valve 300. At the same time, the LCD screen displays system monitoring elements.

Use the intelligent controller to set the timer closing time of the intelligent linkage measuring and controlling valve 300. Long press the "On" key on the intelligent switch, the previous timer closing time starts to flash, press the "∧" key, each press increases 10 minutes; press the "∨" key, each press decreases 10 minutes; the timer closing time can be adjusted to the timer closing time value required by the user, and then press the "On" key to complete the setting.

On the other hand, the present embodiment provides a solution for automatically cutting off the gas source with a delay, specifically including: the user sets the time value of the delay, and the intelligent linkage measurement and control valve 300 starts timing after opening the ball valve 5. When the time value set by the user is reached, the ball valve 5 is directly closed. If the user needs to continue using the gas, the ball valve 5 needs to be opened again through the intelligent linkage measurement and control valve 300. The background monitoring and management system running in the cloud platform 200 and the user can set the time value for timing the valve closing to cut off the gas source. The background monitoring and management system running in the cloud platform 200 can choose to set the alarm pressure value and the alarm concentration value. The gas source can be cut off for protection at a fixed time after each use of gas. Moreover, the main control module 306 and the intelligent controller can be used to set the function of timing the protective cut-off of the gas source after each use of gas, as well as set the specific delay duration.

On the other hand, after the delayed automatic cut-off of the gas source, intelligent security inspection will be carried out immediately, including:

After the user opens the intelligent linkage measurement and control valve 300 valve to use gas through the "open valve" button 11 of the intelligent controller, after the preset delay time is reached, the intelligent linkage measurement and control valve 300 will automatically close the valve to cut off the gas source, so that the user's indoor gas pipeline system is in an automatic protection state. After the valve is automatically closed and the gas source is cut off at a scheduled time, the intelligent linkage measurement and control valve 300 performs an automatic safety check for hidden dangers of pipeline gas leakage-that is, the "intelligent security inspection" state. At this time, the indoor gas pipeline system is theoretically in a pressure-maintaining state. When the built-in pressure sensor 6 of the intelligent linkage measurement and control valve 300 detects a gas leakage in the indoor gas pipeline system, causing the pressure to drop to the specified lower limit value-that is, when the system automatically starts the "intelligent security inspection" to cut off, the indoor gas pipeline pressure value P1 read is compared with the indoor gas pipeline pressure value P2 collected again after the specified delay time. When the pressure drop is less than or equal to 40%, the system alarms, that is, P2≤40%P1. This ratio can be set and adjusted. The main control module 306 of the intelligent linkage measurement and control valve 300 will immediately collect the relative pressure signal, and instruct the detection alarm module to alarm on site, and at the same time instruct the second communication module 305 to remotely alarm by phone and SMS, and immediately upload the monitored abnormal information to the cloud platform 200.

On the other hand, this embodiment specifically provides the codes displayed and the corresponding processing methods when the intelligent linkage measurement and control valve 300 is cutting off the gas source, as recorded in Table 1:

Table 1 Intelligent linkage measurement and control valve closing conditions and treatment methods

For the situation where the pressure exceeds the upper limit and the valve is closed, or the pressure exceeds the lower limit and the valve is closed, the processing method is as follows:

Manual verification and recheck of abnormal pressure: If there is no gas odor in the gas-using area, you should first gently open the doors and windows for ventilation, and then manually press the "open" button on the intelligent controller. If the built-in gas source opening and closing module 303 of the intelligent linkage measurement and control valve 300 cannot be opened or it is automatically closed immediately after opening, it proves that there is a hidden danger of abnormal pipeline gas pressure. This verification operation can be performed 1-2 times. Close the valve before the meter and stop using all gas appliances; call the emergency repair phone of the city gas company.

For abnormal situations of intelligent security inspection, the processing methods are as follows:

Manual verification and recheck for leaks: If there is no gas odor in the gas-using area, first gently open the doors and windows for ventilation, and stop using all gas appliances. Then manually press the "Open" button on the smart controller to open the built-in valve of the smart linkage measurement and control valve 300 to open the gas source. After 60 seconds, manually press the "Off" button on the smart controller to start the smart linkage measurement and control valve 300 to cut off the gas source. If the monitoring system alarms after 2 minutes, it proves that there is a hidden danger of pipeline gas leakage. This verification operation can be performed 1-2 times. Close the valve before the meter and stop using all gas appliances. Call the emergency repair number of the city gas company.

For the situation where the combustible gas concentration exceeds the limit and the valve is closed, the treatment method is as follows:

Close the valve in front of the meter and stop using all gas appliances; do not use open flames; do not turn on exhaust fans; do not turn on or off lights and electrical appliances; do not open the intelligent linkage measurement and control valve 300; if there is a gas odor in the gas-using area, it proves that there is a serious gas leak in the pipeline system. Immediately open the doors and windows for ventilation, then avoid the leaking area and call the city gas company for emergency repairs.

On the other hand, this embodiment provides a technical solution for realizing leakage assessment with the help of the cloud platform 200. Only relying on the on-site intelligent linkage measurement and control valve 300 and the detection alarm 400 cannot detect small leaks in indoor gas pipelines. When there is a leak in the indoor gas pipeline and there is no detection alarm 400 installed near the leak, the air will quickly dilute the concentration of the leaked combustible gas, resulting in the inability to effectively detect the combustible gas at the location of the detection alarm 400. The leakage assessment model running on the cloud platform 200 can rely on the detection data of a large number of users over a period of time to realize data-driven leakage assessment and identification, discover potential leaks, and further ensure the safety of users' indoor gas pipeline systems.

The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims (10)

1. A system for monitoring hidden dangers of indoor gas pipeline leakage, characterized in that: A detection alarm (400), the detection alarm (400) being used to monitor the concentration of combustible gas in the air at a location where the combustible gas detection module (401) is located; An intelligent linkage measurement and control valve (300), the intelligent linkage measurement and control valve (300) being used to control the gas source supply state of the gas-using equipment (500) and to detect the gas pressure and temperature in the household gas pipeline; A cloud platform (200), wherein the cloud platform (200) assesses the risk of leakage in the indoor pipeline based on the detected gas pressure and temperature data in the household gas pipeline and the gas consumption of the gas-using equipment (500) based on a leakage assessment model; The leakage assessment model includes a rough assessment model and a precise assessment model. The rough assessment model calculates the average increment of the increment of the periodic gas consumption of users in the same area based on the increment of the periodic gas consumption of users in the same area. The accurate assessment model is based on the standard measured gas usage volume of the gas-using equipment (500), compares the standard measured gas usage volume with the gas usage of the gas meter, and determines whether there is a risk of leakage in the user's indoor gas pipeline. 2. The indoor gas pipeline leakage hidden danger monitoring system according to claim 1, characterized in that: the detection alarm (400) includes a combustible gas detection module (401), a prompt module (402) and a first communication module (403); The combustible gas detection module (401) is used to detect the combustible gas concentration value in the air, and the first communication module (403) establishes a communication connection with the intelligent linkage measurement and control valve (300), and the prompt module (402) issues an alarm based on the feedback of the intelligent linkage measurement and control valve (300). 3. The indoor gas pipeline leakage hazard monitoring system according to claim 2, characterized in that: the intelligent linkage measurement and control valve (300) includes a pressure sensing module (301), a temperature sensing module (302), a gas source opening and closing module (303), a display module (304), a second communication module (305) and a main control module (306); Wherein, the pressure sensing module (301) is used to detect the gas pressure in the indoor gas pipeline; The temperature sensing module (302) is used to detect the temperature in the indoor gas pipeline; The gas source opening and closing module (303) is used to execute the opening and closing of the gas source; The main control module (306) is used to control the state of the gas source opening and closing module (303) and the alarm states of the display module (304) and the prompt module (402); The second communication module (305) establishes a communication connection with the first communication module (403), and sends the combustible gas concentration value detected by the combustible gas detection module (401) to the second communication module (305). 4. The indoor gas pipeline leakage hazard monitoring system according to claim 3 is characterized in that: if the increment of the periodic gas consumption of the user exceeds the average increment, the rough assessment model determines that there is a leakage risk in the indoor gas pipeline of the corresponding user; If the difference between the standard measured gas volume and the gas meter gas volume exceeds a preset threshold, the precise assessment model determines that there is a risk of leakage in the corresponding user's indoor gas pipeline; If the rough assessment model or the precise assessment model determines that there is a risk of leakage in the user's indoor gas pipeline, the cloud platform (200) controls the prompt module (402) or the display module (304) to issue an alarm prompt. 5. The indoor gas pipeline leakage hazard monitoring system according to claim 4 is characterized in that: when the rough assessment model assesses the indoor pipeline leakage risk, the following steps are performed: Divide a year into several periods and read the gas consumption of each user's gas meter within the period ; Calculate the total gas consumption of each user in the period and the increment compared with the previous period; Divide users into a group by region, calculate the mean of the increments of all users in the group, and record it as the first mean; The difference between the increment amplitude of each user and the first mean is calculated, and if the difference exceeds a preset value, it is determined that there is a risk of leakage in the user's indoor gas pipeline, and the cloud platform (200) controls the prompt module (402) to issue an alarm prompt. 6. The indoor gas pipeline leakage hazard monitoring system according to claim 5 is characterized in that: when the rough assessment model assesses the indoor pipeline leakage risk, the following steps are further performed: After dividing users into a group by region, they are further divided into subgroups according to their gas usage patterns. The gas usage patterns of users in the subgroups are similar; Calculate the mean of the increment magnitudes of all users in the subgroup and record it as the reference mean; If the difference between the user's incremental amplitude and the reference mean exceeds a preset value, it is determined that there is a risk of leakage in the user's indoor gas pipeline, and the cloud platform (200) controls the prompt module (402) to issue an alarm prompt. 7. The indoor gas pipeline leakage hidden danger monitoring system according to claim 6 is characterized in that: the method of dividing users into subgroups according to gas usage patterns comprises: According to the gas pressure, temperature, start time, shut-down time and gear sequence of the gas-using equipment (500) in the household gas pipeline corresponding to the user, the user's gas flow is calculated according to the preset time step to obtain a gas flow sequence curve. 8. The indoor gas pipeline leakage hidden danger monitoring system according to claim 6 is characterized in that: the method of dividing users into subgroups according to gas usage patterns further comprises: Divide the gas flow time series curve of the user into preset characteristic segments to obtain a characteristic segment sequence, wherein the preset characteristic segments include a short stable characteristic segment, a medium stable characteristic segment, a long stable characteristic segment and an inclined characteristic segment, wherein the short stable characteristic segment refers to a gas flow time series curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset first time interval, the medium stable characteristic segment refers to a gas flow time series curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset second time interval, the long stable characteristic segment refers to a gas flow time series curve segment in which the gas flow change does not exceed a preset range and the maintenance time is within a preset third time interval, and the inclined characteristic segment refers to a gas flow time series curve segment in which the slope of the gas flow time series curve exceeds a preset value; The characteristic fragment sequences are clustered using a clustering algorithm to obtain several cluster groups, where the cluster groups in the cluster groups are used as subgroups. 9. The indoor gas pipeline leakage hazard monitoring system according to claim 4 is characterized in that: when the precise assessment model assesses the indoor pipeline leakage risk, the following steps are performed: According to the air pressure detected by the pressure sensing module (301) and the air temperature detected by the temperature sensing module (302), the air temperature, the air pressure and the associated duration are used as combined data to obtain a sequence , in , is the number of combined data in the sequence, to Indicates that the temperature is maintained And the air pressure is maintained The start and end times; The gas flow rate in the cycle is obtained according to the start time, shut down time and gear timing of the gas-consuming equipment (500) in the cycle ; Calculate the adjustment factor ,in is the measurement standard temperature, For the measurement standard pressure, calculate the standard measurement gas volume ; Calculate standard metered gas volume and gas meter gas usage The Difference ,difference As the risk of indoor pipe leakage, if the difference If the preset threshold is exceeded, the cloud platform (200) controls the display module (304) to issue an alarm prompt. 10. The indoor gas pipeline leakage hidden danger monitoring system according to claim 9 is characterized in that: the accurate assessment model obtains the sequence , perform the following steps: Set the temperature range And pressure range , respectively, according to the preset temperature step length and pressure step length, the temperature value interval Divided into temperature aggregate sets , the pressure value interval Pressure integration ; The temperature is normalized according to the closest temperature in the temperature normalization set, and the detection value of the pressure sensing module (301) is normalized according to the closest air pressure in the air pressure normalization set; Sorting the normalized air temperature and the detection values of the pressure sensing module (301) according to the time axis sequence; Get the start and end times for each temperature and pressure to remain constant and , that is, to obtain all sequences .