A method and system for detecting abnormal leaks in conjunction with smart gas meters and pipeline self-closing valves

Abstract

The present invention provides an abnormal leakage monitoring method and system for the linkage of a smart gas meter and a pipeline self-closing valve. The smart gas meter and the pipeline self-closing valve are linked, and the smart gas meter is used to preliminarily screen users who may have abnormal leakage. For large-flow leakage scenarios, basic gas volume data is used for basic judgment, and the standard deviation of gas flow in different time intervals is used for further judgment. For small leakage scenarios, the low-gas consumption period is selected to automatically close the valve in the meter, and the self-closing valve detection and verification is started at the same time. If the self-closing valve is not cut off during the detection period, it indicates that it is a false alarm information and there is no leakage in the detection stage. The smart gas meter automatically opens the valve in the meter to restore normal gas supply. If the self-closing valve is cut off due to underpressure during the detection period, it is verified that there is a leakage. The pipeline self-closing valve transmits the cut-off state to the smart gas meter through the wireless module. The smart gas meter confirms that the user has an abnormal leakage, and uploads the abnormal information to the business management platform, prompting it to perform hidden processing.

Description

Technical Field

[0001] The present invention relates to the technical field of abnormal gas leakage, and in particular to an abnormal leakage monitoring method and system for linkage between an intelligent gas meter and a pipeline self-closing valve. Background Art

[0002] With the popularization of gas applications, gas facilities leak due to damage and poor sealing, which poses a great hidden danger to residential users. Currently, the products that can monitor gas leaks in users' homes include smart gas meters and pipeline self-closing valves. Both have shortcomings in monitoring abnormal leaks. Smart gas meters can perform certain abnormal gas usage analysis based on user historical data. However, due to the variability of user gas usage behavior, the results of smart meter analysis often have large misjudgments. Pipeline self-closing valves can detect small leaks in closed pipelines (underpressure detection), but they require manual sealing of the front end of the pipeline and the current opening and closing status of pipeline self-closing valves cannot be perceived in time. Therefore, the current leakage monitoring products should be improved and upgraded in terms of improving the accuracy of identifying small leaks and enhancing the instant perception of the cut-off state. Summary of the invention

[0003] The present invention aims to provide a method and system for monitoring abnormal leakage of a smart gas meter and a pipeline self-closing valve in linkage, which overcomes the above-mentioned problems or at least partially solves the above-mentioned problems.

[0004] To achieve the above object, the technical solution of the present invention is specifically implemented as follows:

[0005] One aspect of the present invention provides a method for monitoring abnormal leakage of a smart gas meter and a pipeline self-closing valve in linkage, comprising:

[0006] Smart gas meters record the user's real-time gas consumption over n days in real time;

[0007] The smart gas meter sorts the non-zero gas consumption of n days in order and determines the minimum flow rate q within n days. min and the maximum flow rate q max ;

[0008] Determine the flow rate qs recorded at the current moment;

[0009] The flow rate qs recorded at the current moment is judged:

[0010] When min ≤qs≤q max , and no closing status information transmitted by the pipeline self-closing valve is received, determining that the current user is in normal use;

[0011] When qs>q max ,

[0012] If the closing state information transmitted by the pipeline self-closing valve is received, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform;

[0013] If the closing state information transmitted by the pipeline self-closing valve is not received, the smart gas meter calculates the non-zero flow median Q of each hour time period in the m days before the current time xy , where x represents a day in the previous m days, and y represents a certain hourly time period; calculate the median of the non-zero flow Q xy The standard deviation σ in the day and time period xy ; Determine the maximum standard deviation σ of the previous m days in each hour time period ymax ; Calculate and collect qs>q max The moment of

[0014] The standard deviation σ0 of the median of non-zero flow in the interval is:

[0015] If σ0>σ ymax , determining that there is a greater risk of leakage in the pipeline system, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform;

[0016] If σ0≤σ ymax , determine that the current user is in normal use;

[0017] When 0<qs<q min , the smart gas meter prompts that there may be a small leak, and uploads the suspected information to the business management platform; the smart gas meter starts the timed valve closing detection instruction, and automatically closes the valve in the meter during the low gas consumption period; and starts the pipeline self-closing valve air tightness self-inspection process:

[0018] If the pipeline self-closing valve is cut off by underpressure during the self-check period, the pipeline self-closing valve transmits the closing state information to the smart gas meter, and the smart meter uploads the abnormal state to the business management platform;

[0019] If the pipeline self-closing valve does not cut off due to underpressure during the self-check period, the recorded small leakage is a false alarm, and the smart gas meter automatically starts the valve in the meter.

[0020] The method further includes:

[0021] The management terminal transmits the maintenance information to the smart gas meter;

[0022] The smart gas meter is unlocked;

[0023] The smart gas meter receives a start-up message pressed by a user or remotely sent by the management terminal, and opens a control valve in the smart gas meter.

[0024] Among them, n=15, and m=15.

[0025] Among them, the smart gas meter and the pipeline self-closing valve communicate data through wireless communication; the smart gas meter and the business management platform communicate data through wireless communication.

[0026] Among them, after being affected by the wireless communication method, the smart gas meter performs data communication through the auxiliary backup communication channel.

[0027] Another aspect of the present invention provides an abnormal leakage monitoring system for a smart gas meter and a pipeline self-closing valve linkage, comprising:

[0028] Smart gas meter, used to record the user's real-time gas consumption in n days in real time; sort the non-zero gas consumption in n days in order, and determine the minimum flow rate q within n days min and the maximum flow rate q max ; Determine the flow rate qs recorded at the current time; judge the flow rate qs recorded at the current time: when q min ≤qs≤q max , and no closing status information transmitted by the pipeline self-closing valve is received, it is determined that the current user is in normal use; when qs>q max If the closing status information transmitted by the pipeline self-closing valve is received, the control valve in the smart gas meter is closed and locked, and the abnormal status is uploaded to the business management platform; if the closing status information transmitted by the pipeline self-closing valve is not received, the smart gas meter calculates the non-zero flow median Q of each hour time period in the previous m days of the current time xy , where x represents a day in the previous m days, and y represents a certain hourly time period; calculate the median of the non-zero flow Q xy The standard deviation σ in the day and time period xy ; Determine the maximum standard deviation σ of the previous m days in each hour time period ymax ; Calculate and collect qs>q max The standard deviation of the non-zero flow median in the time period at the time σ0: if σ0>σ ymax , it is determined that there is a large risk of leakage in the pipeline system, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform; if σ0≤σ ymax , determine that the current user is in normal use; when 0<qs<q min, the smart gas meter prompts that there may be a small leak, and uploads the suspected information to the business management platform; the smart gas meter starts the timed valve closing detection instruction, and automatically closes the valve in the meter during the low gas consumption period; and performs the pipeline self-closing valve to start the air tightness self-inspection process: if the pipeline self-closing valve is under-pressure cut off during the self-inspection period, the pipeline self-closing valve transmits the closing state information to the smart gas meter, and the smart meter uploads the abnormal state to the business management platform; if the pipeline self-closing valve does not under-pressure cut off during the self-inspection period, it prompts that the recorded small leak is a false alarm, and the smart gas meter automatically starts the valve in the meter;

[0029] The pipeline self-closing valve is used to automatically cut off the pipeline when the pipeline is in a state of gas overflow, underpressure or overpressure, and transmit the closing state information to the smart gas meter;

[0030] The business management platform is used to collect and store the metering data and abnormal information of the smart gas meter, and assist the management personnel in arranging the work procedures of the business personnel.

[0031] The smart gas meter is also used to receive maintenance information transmitted by the management end and unlock it; receive start-up information sent by a user button or remotely by the management end to open the control valve in the smart gas meter.

[0032] Among them, n=15, and m=15.

[0033] Among them, the smart gas meter and the pipeline self-closing valve communicate data through wireless communication; the smart gas meter and the business management platform communicate data through wireless communication.

[0034] Wherein, the smart gas meter is also used to perform data communication through an auxiliary backup communication channel after being affected by the wireless communication method.

[0035] It can be seen that the abnormal leakage monitoring method and system of the smart gas meter and pipeline self-closing valve linkage provided by the present invention mainly solve the problems of high false alarm rate when using smart gas meters for indoor gas abnormal leakage monitoring and poor instant perception of pipeline self-closing valve airtightness detection. By installing valve opening and closing sensors and wireless transmission modules on the pipeline self-closing valve, the linkage between the smart gas meter and the pipeline self-closing valve is realized. The user's historical gas consumption pattern is analyzed using the remote data of the smart gas meter, and users who may have abnormal leakage are preliminarily screened. For large-flow leakage scenarios, basic gas volume data is used for basic judgment, and the standard deviation of gas flow in different time intervals is further used for further judgment. For small leakage scenarios, the low gas consumption period (0:00-5:00 in the morning) is selected to automatically close the valve in the meter, and the self-closing valve detection and verification is started at the same time. If the self-closing valve is not cut off during the detection period, it indicates that there is no leakage in the user's home, which is a false alarm information. There is no leakage during the detection stage, and the smart gas meter automatically opens the valve in the meter to restore normal gas supply; if the self-closing valve is cut off due to underpressure during the detection period, it is verified that there is a leakage in the user's home. The pipeline self-closing valve transmits the cut-off state to the smart gas meter through the wireless module. The smart gas meter confirms that the user has an abnormal leakage and uploads the abnormal information to the business management platform, prompting the business personnel to arrange for the hidden processing as soon as possible.

[0036] Therefore, the abnormal leakage monitoring method and system of the linkage between the smart gas meter and the pipeline self-closing valve provided in the embodiment of the present invention are compatible with the functions of the smart gas meter and the pipeline self-closing, and can realize the judgment and verification of the leakage scenario by using the real-time flow of the smart gas meter and the air tightness monitoring function of the pipeline self-closing valve; the control processing module built into the smart gas meter is used to preliminarily analyze the possible abnormal leakage status by reading the historical gas consumption data in real time, and automatically start the air tightness self-detection through the pipeline self-closing valve with sensing function and remote transmission function. For large flow leakage scenarios, in addition to using the basic gas volume data for basic judgment, the standard deviation of gas flow in different time intervals is further used for further judgment; for small leakage scenarios, the linkage interaction between the smart meter and the pipeline self-closing valve at the time of low gas consumption is used to realize the dual judgment of small leakage, which can reduce the misjudgment caused by the use of a single monitoring method; the communication interaction between the smart meter and the pipeline self-closing valve can also be used to realize the recording and processing of normal and abnormal states, and the user-side data can be uploaded to the business management platform at a regular basis to provide technical support for management personnel to make business handling arrangements. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0038] Figure 1 A flow chart of an abnormal leakage monitoring method for a smart gas meter and a pipeline self-closing valve linkage provided by an embodiment of the present invention;

[0039] Figure 2 A specific flow chart of the abnormal leakage monitoring method for the linkage between the smart gas meter and the pipeline self-closing valve provided in the embodiment of the present invention;

[0040] Figure 3 A schematic diagram of the structure of an abnormal leakage monitoring system for a smart gas meter and a pipeline self-closing valve linked together provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0042] Figure 1 The flowchart of the abnormal leakage monitoring method of the smart gas meter and the pipeline self-closing valve linkage provided by the embodiment of the present invention is shown. Figure 2 A specific flow chart of the abnormal leakage monitoring method of the smart gas meter and the pipeline self-closing valve linkage provided by the embodiment of the present invention is shown, see Figure 1 and Figure 2 The abnormal leakage monitoring method of the smart gas meter and the pipeline self-closing valve linkage provided by the embodiment of the present invention includes:

[0043] S1, the smart gas meter records the user's real-time gas consumption within n days;

[0044] S2, the smart gas meter sorts the non-zero gas consumption of n days in order and determines the minimum flow q within n days min and the maximum flow rate q max ;

[0045] S3, determine the flow rate qs recorded at the current moment;

[0046] S4, judge the flow qs recorded at the current moment:

[0047] When min ≤qs≤q max , and no closing status information transmitted by the pipeline self-closing valve is received, determining that the current user is in normal use;

[0048] When qs>q max ,

[0049] If the closed state information transmitted by the pipeline self-closing valve is received, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform;

[0050] If the closed state information transmitted by the pipeline self-closing valve is not received, the smart gas meter calculates the median of non-zero flow Q for each hour time period in the m days before the current time xy , where x represents a day in the previous m days, and y represents a certain hourly period; calculate the median of non-zero flow Q xy The standard deviation σ in the day and time period xy ; Determine the maximum standard deviation σ of the previous m days in each hour time period ymax ; Calculate and collect qs>q max The non-zero flow in the time period of the moment

[0051] The standard deviation of the quantiles σ0:

[0052] If σ0>σ ymax , it is determined that there is a high risk of leakage in the pipeline system, the control valve in the smart gas meter is closed and locked, and the abnormal status is uploaded to the business management platform;

[0053] If σ0≤σ ymax , determine that the current user is in normal use;

[0054] When 0<qs<q min , the smart gas meter prompts that there may be a small leak, and uploads the suspected information to the business management platform; the smart gas meter starts the timed valve closing detection instruction, and automatically closes the valve in the meter during the low gas consumption period; and the pipeline self-closing valve starts the air tightness self-inspection process:

[0055] If the pipeline self-closing valve is cut off due to underpressure during the self-check period, the pipeline self-closing valve will transmit the closing status information to the smart gas meter, and the smart meter will upload the abnormal status to the business management platform;

[0056] If the pipeline self-closing valve does not cut off due to underpressure during the self-inspection period, the recorded small leakage is a false alarm and the smart gas meter automatically starts the valve inside the meter.

[0057] Specifically, the abnormal leakage monitoring system of the smart gas meter and the pipeline self-closing valve linked together provided by the present invention mainly includes a smart gas meter that can record the gas flow in real time and can perform data analysis and flow cut-off; a pipeline self-closing valve that can perform underpressure, overpressure and overflow cut-off and has valve opening and closing state sensing and wireless data transmission functions; and a business management platform that can comprehensively handle abnormal states.

[0058] Among them, the base meter of the smart gas meter can be an ultrasonic gas meter or a diaphragm gas meter. The ultrasonic gas meter should have a real-time flow recording function, and the diaphragm gas meter should have an instantaneous flow conversion function (the conversion can be performed using the pulse at the wheel end, that is, the pulse equivalent is multiplied by the number of recorded pulses).

[0059] As an optional implementation of the embodiment of the present invention, the smart gas meter communicates data with the pipeline self-closing valve through wireless communication; the smart gas meter communicates data with the business management platform through wireless communication. In addition, after the smart gas meter is affected by the wireless communication, it communicates data through an auxiliary backup communication channel.

[0060] Specifically, the smart gas meter should have a remote communication module, support NB, 4G, Lora and other communication methods, and have auxiliary backup communication channels, including but not limited to Bluetooth channels, infrared channels, etc., for after-sales maintenance, parameter modification and setting, or data collection and transmission after the main communication is affected. The smart gas meter can receive the opening and closing status information transmitted by the pipeline gas self-closing valve, and can also exchange information with the main station system.

[0061] The pipeline gas self-closing valve has a built-in valve opening and closing status sensor and a wireless remote transmission module. The remote transmission module can transmit information to the smart gas meter. The self-closing valve is installed downstream of the smart gas meter. When the pipeline has a gas supply overcurrent, underpressure, or overpressure state, the self-closing valve can automatically cut off and transmit the cut-off status information to the smart gas meter. The wireless remote transmission module in the self-closing valve supports NB, 4G, Lora and other communication methods, and can also be a near-field communication method such as a Bluetooth channel and an infrared channel.

[0062] The business management platform mainly exchanges information with the smart gas meter end, and is mainly used to collect and store the metering data and abnormal information of the smart gas meter, and can assist management personnel in arranging business personnel work processes.

[0063] As an optional implementation of an embodiment of the present invention, the abnormal leakage monitoring method of the smart gas meter and the pipeline self-closing valve linkage provided by the embodiment of the present invention also includes: the management end transmits maintenance information to the smart gas meter; the smart gas meter is unlocked; the smart gas meter receives the start-up information pressed by the user or sent remotely by the management end, and opens the control valve in the smart gas meter.

[0064] Among them, n=15, m=15.

[0065] The present invention mainly analyzes and judges abnormal flow through the linkage of intelligent gas meter and pipeline self-closing valve with remote transmission function. The analysis and judgment method is as follows:

[0066] 1. The smart gas meter records the user's real-time gas consumption in n days (which can be an integer between 1, 2, 3, 5, ..., 15) in real time (the recording and collection interval can be set independently, and it is recommended to be less than 5 minutes), and sorts the non-zero gas consumption in order for n days to determine the minimum and maximum flow q within n days. min and q max , assuming that the flow rate recorded by the smart gas meter at the current moment is qs, when q min ≤qs≤q max , indicating that the user is using gas normally. min , it is preliminarily determined that there may be a small leak at the user end. max , and initially determined that there may be a large leak on the user side.

[0067] 2. When the smart gas meter records q min ≤qs≤q max The meter end does not receive the closing information transmitted by the pipeline self-closing valve, which means that the current user is in normal use and the meter end does not need to take any disposal action.

[0068] 3. When the smart gas meter records qs>q max Flow rate: (1) If the smart gas meter receives the pipeline self-closing valve closing status information at the same time, it indicates that the pipeline system has a large leakage, causing the self-closing valve to cut off due to over-current, and the control valve in the smart gas meter is closed and locked (the user cannot start to open the valve by himself in this state), and triggers a report, uploading the abnormal state to the business management platform, indicating that there is a large risk of leakage. After receiving the information, the management personnel should immediately arrange for business personnel to handle the abnormality. After the abnormality is handled, the management end will transmit the maintenance information to the meter end and release the lock. At this time, the user can press the button or the management end to remotely start the smart meter to open the valve. Next, the user lifts the pipeline self-closing valve to restore the pipeline gas supply; (2) If the smart gas meter does not receive the pipeline self-closing valve closing status information, it indicates that there may be a large risk of leakage, and further combines the following methods to determine the leakage:

[0069] a) Calculate the median number of non-zero traffic Q in each hour time period in the 15 days before the current time (i.e., day n-15 to day n-1) xy (x represents a day, y represents a certain hourly period, for example, Q 23 That means 2:00-3:00 of the second day);

[0070] b) Calculate the median of non-zero flows Q xy The standard deviation σ in the day and time period xy , the size of the standard deviation represents the degree of fluctuation of gas consumption during this time period of the day;

[0071] c) Count the maximum standard deviation σ of the previous 15 days in each hour time periodymax , the standard deviation represents the maximum fluctuation of normal gas consumption at a certain hour in the previous 15 days;

[0072] d) Calculate and collect qs>q max The standard deviation σ0 of the median of non-zero flow in the time period at the moment of

[0073] d1) If σ0>σ ymax , it means that the non-zero flow fluctuation in the current time period is greater than the maximum fluctuation within the previous 15 days of the time period, indicating that there is a large leakage risk in the pipeline system. The control valve in the smart gas meter is closed and locked (the user cannot start to open the valve by himself in this state), and a report is triggered, and the abnormal state is uploaded to the business management platform, indicating that there is a large leakage risk. After receiving the information, the management personnel should immediately arrange for business personnel to handle the abnormality. After the abnormality is handled, the management end will transmit the maintenance information to the meter end and release the lock. At this time, the user can press the button or the management end to remotely start the smart meter to open the valve. In the next step, the user lifts the pipeline self-closing valve to restore the pipeline gas supply.

[0074] d2) If σ0≤σ ymax , if it is determined that the user is in normal gas usage status, the valve closing instruction will not be executed.

[0075] 4. When the smart gas meter records 0<qs<q min The flow rate of the smart gas meter indicates that there may be a small leak. The smart meter uploads the suspected information to the platform, prompting the administrator user end to suspect a small leak. At the same time, the smart gas meter starts the timed valve closing detection instruction, and selects the low gas consumption period (such as 0:00-5:00 in the morning) to automatically close the valve in the meter. At this time, the self-closing valve starts the air tightness self-inspection process. If the self-closing valve is cut off due to underpressure during the self-inspection period, the self-closing valve automatically uploads the cut-off status to the smart meter end through wireless data. After the meter end senses and verifies the existence of a small leak, the smart meter uploads the abnormal status to the business management platform, prompting the administrator to arrange business personnel to handle it as soon as possible. After the business personnel completes the abnormal handling, they upload the maintenance information to the meter end through the business platform. The meter end removes the abnormal prompt and automatically opens the valve. In the next step, the business personnel (or instructs the user) lifts the pipeline self-closing valve to restore the pipeline gas supply. If the self-closing valve does not cut off due to underpressure during the self-inspection period, the recorded small leak is a false alarm. At this time, the smart gas meter automatically starts the valve in the meter, and the business management personnel remind the user to lift the pipeline self-closing valve by phone to restore the pipeline gas supply.

[0076] It can be seen that the abnormal leakage monitoring method of the smart gas meter and the pipeline self-closing valve linkage provided in the embodiment of the present invention mainly solves the problems of high false alarm rate when using smart gas meters for indoor gas abnormal leakage monitoring and poor instant perception of pipeline self-closing valve airtightness detection. By installing valve opening and closing sensors and wireless transmission modules on the pipeline self-closing valve, the linkage between the smart gas meter and the pipeline self-closing valve is realized. The user's historical gas consumption pattern is analyzed using the remote data of the smart gas meter, and users who may have abnormal leakage are preliminarily screened. For large-flow leakage scenarios, basic gas volume data is used for basic judgment, and the standard deviation of gas flow in different time intervals is further used for further judgment. For small leakage scenarios, the low gas consumption period (0:00-5:00 in the morning) is selected to automatically close the valve in the meter, and the self-closing valve detection and verification is started at the same time. If the self-closing valve is not cut off during the detection period, it indicates that there is no leakage in the user's home, which is a false alarm information. There is no leakage during the detection stage, and the smart gas meter automatically opens the valve in the meter to restore normal gas supply; if the self-closing valve is cut off due to underpressure during the detection period, it is verified that there is a leakage in the user's home. The pipeline self-closing valve transmits the cut-off state to the smart gas meter through the wireless module. The smart gas meter confirms that the user has an abnormal leakage and uploads the abnormal information to the business management platform, prompting the business personnel to arrange for the hidden processing as soon as possible.

[0077] Therefore, the abnormal leakage monitoring method based on the linkage of the smart gas meter and the pipeline self-closing valve provided in the embodiment of the present invention is compatible with the functions of the smart gas meter and the pipeline self-closing, and can realize the judgment and verification of the leakage scenario by using the real-time flow of the smart gas meter and the air tightness monitoring function of the pipeline self-closing valve; the control processing module built into the smart gas meter is used to preliminarily analyze the possible abnormal leakage status by reading the historical gas consumption data in real time, and automatically start the air tightness self-detection through the pipeline self-closing valve with sensing function and remote transmission function. For large flow leakage scenarios, in addition to using the basic gas volume data for basic judgment, the standard deviation of gas flow in different time intervals is further used for further judgment; for small leakage scenarios, the linkage interaction between the smart meter and the pipeline self-closing valve at the time of low gas consumption is used to realize the dual judgment of small leakage, which can reduce the misjudgment caused by the use of a single monitoring method; the communication interaction between the smart meter and the pipeline self-closing valve can also be used to realize the recording and processing of normal and abnormal states, and the user-side data can be uploaded to the business management platform at a regular basis to provide technical support for management personnel to make business handling arrangements.

[0078] Figure 3The structure diagram of the abnormal leakage monitoring system of the linkage between the smart gas meter and the pipeline self-closing valve provided by the embodiment of the present invention is shown. The abnormal leakage monitoring system of the linkage between the smart gas meter and the pipeline self-closing valve applies the above method. The structure of the abnormal leakage monitoring system of the linkage between the smart gas meter and the pipeline self-closing valve is briefly described below. For other matters not covered, please refer to the relevant description of the abnormal leakage monitoring method of the linkage between the smart gas meter and the pipeline self-closing valve, see Figure 3 The abnormal leakage monitoring system of the intelligent gas meter and the pipeline self-closing valve linkage provided by the embodiment of the present invention includes:

[0079] Smart gas meter, used to record the user's real-time gas consumption in n days in real time; sort the non-zero gas consumption in n days in order, and determine the minimum flow rate q within n days min and the maximum flow rate q max ; Determine the flow rate qs recorded at the current moment; Judge the flow rate qs recorded at the current moment: when q min ≤qs≤q max , and no closing status information transmitted by the pipeline self-closing valve is received, it is determined that the current user is in normal use; when qs>q max If the closed state information transmitted by the pipeline self-closing valve is received, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform; if the closed state information transmitted by the pipeline self-closing valve is not received, the smart gas meter calculates the non-zero flow median Q of each hour time period in the previous m days xy , where x represents a day in the previous m days, and y represents a certain hourly period; calculate the median of non-zero flow Q xy The standard deviation σ in the day and time period xy ; Determine the maximum standard deviation σ of the previous m days in each hour time period ymax ; Calculate and collect qs>q max The standard deviation of the non-zero flow median in the time period at the time σ0: if σ0>σ ymax , it is determined that there is a high risk of leakage in the pipeline system, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform; if σ0≤σ ymax , determine that the current user is in normal use; when 0<qs<q min, the smart gas meter prompts that there may be a small leak, and uploads the suspected information to the business management platform; the smart gas meter starts the timed valve closing detection instruction, and automatically closes the valve in the meter during the low gas consumption period; and the pipeline self-closing valve starts the air tightness self-inspection process: if the pipeline self-closing valve is cut off due to underpressure during the self-inspection period, the pipeline self-closing valve will transmit the closing status information to the smart gas meter, and the smart meter will upload the abnormal status to the business management platform; if the pipeline self-closing valve does not cut off due to underpressure during the self-inspection period, it prompts that the recorded small leak is a false alarm, and the smart gas meter automatically starts the valve in the meter;

[0080] The pipeline self-closing valve is used to automatically cut off the pipeline when the pipeline is in a state of over-current, under-pressure or over-pressure, and transmit the closing status information to the smart gas meter;

[0081] The business management platform is used to collect and store the metering data and abnormal information of smart gas meters, and assist managers in arranging the work procedures of business personnel.

[0082] As an optional implementation of the embodiment of the present invention, the smart gas meter is also used to receive maintenance information transmitted by the management end and unlock it; receive start information sent by a user button or remotely sent by the management end to open the control valve in the smart gas meter.

[0083] As an optional implementation of the embodiment of the present invention, n=15, m=15.

[0084] As an optional implementation of the embodiment of the present invention, the smart gas meter and the pipeline self-closing valve communicate data through wireless communication; the smart gas meter and the business management platform communicate data through wireless communication.

[0085] As an optional implementation of the embodiment of the present invention, the smart gas meter is also used to perform data communication through an auxiliary backup communication channel after being affected by the wireless communication method.

[0086] It can be seen that the abnormal leakage monitoring system of the smart gas meter and the pipeline self-closing valve provided in the embodiment of the present invention mainly solves the problems of high false alarm rate when using smart gas meters for indoor gas abnormal leakage monitoring and poor instant perception of air tightness detection using pipeline self-closing valves. By installing valve opening and closing sensors and wireless transmission modules on the pipeline self-closing valve, the linkage between the smart gas meter and the pipeline self-closing valve is realized. The user's historical gas consumption pattern is analyzed using the remote data of the smart gas meter, and users who may have abnormal leakage are preliminarily screened. For large-flow leakage scenarios, basic gas volume data is used for basic judgment, and the standard deviation of gas flow in different time intervals is further used for further judgment. For small leakage scenarios, the low gas consumption period (0:00-5:00 in the morning) is selected to automatically close the valve in the meter, and the self-closing valve detection and verification is started at the same time. If the self-closing valve is not cut off during the detection period, it indicates that there is no leakage in the user's home, which is a false alarm information. There is no leakage during the detection stage, and the smart gas meter automatically opens the valve in the meter to restore normal gas supply; if the self-closing valve is cut off due to underpressure during the detection period, it is verified that there is a leakage in the user's home. The pipeline self-closing valve transmits the cut-off state to the smart gas meter through the wireless module. The smart gas meter confirms that the user has an abnormal leakage and uploads the abnormal information to the business management platform, prompting the business personnel to arrange for the hidden processing as soon as possible.

[0087] Therefore, the abnormal leakage monitoring system based on the linkage of the smart gas meter and the pipeline self-closing valve provided in the embodiment of the present invention is compatible with the functions of the smart gas meter and the pipeline self-closing, and can realize the judgment and verification of the leakage scenario by using the real-time flow of the smart gas meter and the air tightness monitoring function of the pipeline self-closing valve; the control processing module built into the smart gas meter is used to preliminarily analyze the possible abnormal leakage status by reading the historical gas consumption data in real time, and automatically start the air tightness self-detection through the pipeline self-closing valve with sensing function and remote transmission function. For large flow leakage scenarios, in addition to using the basic gas volume data for basic judgment, the standard deviation of gas flow in different time intervals is further used for further judgment; for small leakage scenarios, the linkage interaction between the smart meter and the pipeline self-closing valve at the time of low gas consumption is used to realize the dual judgment of small leakage, which can reduce the misjudgment caused by the use of a single monitoring method; the communication interaction between the smart meter and the pipeline self-closing valve can also be used to realize the recording and processing of normal and abnormal states, and the user-side data can be uploaded to the business management platform at a regular basis to provide technical support for management personnel to make business handling arrangements.

[0088] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for monitoring abnormal leakage by linkage between a smart gas meter and a pipeline self-closing valve, characterized in that: include: Smart gas meters record the user's real-time gas consumption over n days in real time; The smart gas meter sorts the non-zero gas consumption of n days in order and determines the minimum flow rate q within n days. min and the maximum flow rate q max ; Determine the flow rate qs recorded at the current moment; The flow rate qs recorded at the current moment is judged: When min ≤qs≤q max , and no closing status information transmitted by the pipeline self-closing valve is received, determining that the current user is in normal use; When qs>q max , If the closing state information transmitted by the pipeline self-closing valve is received, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform; If the closing state information transmitted by the pipeline self-closing valve is not received, the smart gas meter calculates the non-zero flow median Q of each hour time period in the m days before the current time xy , where x represents a day in the previous m days, y represents a certain hourly time period; calculate the median Q of the non-zero flow xy The standard deviation σ in the day and time period xy ; Determine the maximum standard deviation σ of the previous m days in each hour time period ymax ; Calculate and collect qs>q max The standard deviation σ0 of the median of non-zero flow in the time period at the moment of If σ0>σ ymax , determining that there is a greater risk of leakage in the pipeline system, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform; If σ0≤σ ymax , determine that the current user is in normal use; When 0<qs<q min , the smart gas meter prompts that there may be a small leak, and uploads the suspected information to the business management platform; the smart gas meter starts the timed valve closing detection instruction, and automatically closes the valve in the meter during the low gas consumption period; and starts the pipeline self-closing valve air tightness self-inspection process: If the pipeline self-closing valve is cut off by underpressure during the self-check period, the pipeline self-closing valve transmits the closing state information to the smart gas meter, and the smart gas meter uploads the abnormal state to the business management platform; If the pipeline self-closing valve does not cut off due to underpressure during the self-check period, the recorded small leakage is a false alarm, and the smart gas meter automatically starts the valve in the meter.

2. The method according to claim 1, characterized in that Also includes: The management terminal transmits the maintenance information to the smart gas meter; The smart gas meter is unlocked; The smart gas meter receives a start-up message pressed by a user or remotely sent by the management terminal, and opens a control valve in the smart gas meter.

3. The method according to claim 1, characterized in that The n=15, and the m=15.

4. The method according to claim 1, characterized in that: The smart gas meter communicates data with the pipeline self-closing valve through wireless communication; the smart gas meter communicates data with the business management platform through wireless communication.

5. The method according to claim 4, characterized in that After being affected by the wireless communication method, the smart gas meter performs data communication through the auxiliary backup communication channel.

6. An abnormal leakage monitoring system for linkage between a smart gas meter and a pipeline self-closing valve, characterized in that: include: Smart gas meter, used to record the user's real-time gas consumption in n days in real time; sort the non-zero gas consumption in n days in order, and determine the minimum flow rate q within n days min and the maximum flow rate q max ; Determine the flow rate qs recorded at the current moment; The flow rate qs recorded at the current moment is judged: when q min ≤qs≤q max , and no closing status information transmitted by the pipeline self-closing valve is received, it is determined that the current user is in normal use; when qs>q max If the closing status information transmitted by the pipeline self-closing valve is received, the control valve in the smart gas meter is closed and locked, and the abnormal status is uploaded to the business management platform; if the closing status information transmitted by the pipeline self-closing valve is not received, the smart gas meter calculates the non-zero flow median Q of each hour time period in the previous m days of the current time xy , where x represents a day in the previous m days, and y represents a certain hourly time period; calculate the median of the non-zero flow Q xy The standard deviation σ in the day and time period xy ; Determine the maximum standard deviation σ of the previous m days in each hour time period ymax ; Calculate and collect qs>q max The standard deviation of the non-zero flow median in the time period at the time σ0: if σ0>σ ymax , it is determined that there is a large risk of leakage in the pipeline system, the control valve in the smart gas meter is closed and locked, and the abnormal state is uploaded to the business management platform; if σ0≤σ ymax , determine that the current user is in normal use; when 0<qs<q min , the smart gas meter prompts that there may be a small leak, and uploads the suspected information to the business management platform; the smart gas meter starts the timed valve closing detection instruction, and automatically closes the valve in the meter during the low gas consumption period; and starts the pipeline self-closing valve air tightness self-inspection process: if the pipeline self-closing valve is cut off due to underpressure during the self-inspection period, the pipeline self-closing valve transmits the closing state information to the smart gas meter, and the smart gas meter uploads the abnormal state to the business management platform; If the pipeline self-closing valve does not cut off due to underpressure during the self-check period, the recorded small leakage is a false alarm, and the smart gas meter automatically starts the valve in the meter; The pipeline self-closing valve is used to automatically cut off the pipeline when the pipeline is in a state of gas overflow, underpressure or overpressure, and transmit the closing state information to the smart gas meter; The business management platform is used to collect and store the metering data and abnormal information of the smart gas meter, and assist the management personnel in arranging the work procedures of the business personnel.

7. The system according to claim 6, characterized in that The smart gas meter is also used to receive maintenance information transmitted by the management end and unlock it; receive start-up information sent by a user button or remotely by the management end to open the control valve in the smart gas meter.

8. The system according to claim 6, characterized in that The n=15, and the m=15.

9. The system according to claim 6, characterized in that The smart gas meter communicates data with the pipeline self-closing valve through wireless communication; the smart gas meter communicates data with the business management platform through wireless communication.

10. The system according to claim 9, characterized in that The smart gas meter is also used to perform data communication through an auxiliary backup communication channel after being affected by the wireless communication method.

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