An indoor gas pipeline leakage hidden danger monitoring system and method and a storage medium

Abstract

The present application relates to gas safety monitoring technical field, specifically to a kind of indoor gas pipeline leakage hidden danger monitoring system, method and storage medium, the system includes at least one detection alarm, intelligent linkage control valve and cloud platform, detection alarm includes combustible gas detection module, prompt module and first communication module, intelligent linkage control valve includes pressure sensing module, temperature sensing module, gas source opening and closing module, display module, second communication module and main control module, immediately or periodically the pressure sensing module detection value, temperature sensing module detection value, equipment operating data, gas source opening and closing module state and detection alarm state are packaged into detection data, second communication module is connected with cloud platform, and cloud platform runs leakage evaluation model.The beneficial technical effects of the present application include: effectively improve the safety of indoor gas pipeline system use, effectively prevent gas leakage and gas pressure anomaly caused by gas safety accident.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of gas safety monitoring, in particular to an indoor gas pipeline leakage hidden danger monitoring system and method and a storage medium. BACKGROUND

[0002] Gas is one of the important infrastructures of urban life. With the rapid development of urban gas, the number of urban gas residential users and non-residential users is increasing, and the accompanying gas safety situation is becoming increasingly severe. Due to the flammable and explosive nature of gas, once gas supply and use facilities leak, serious accidents such as fire, explosion and poisoning are likely to occur. Indoor gas safety accident prevention and hidden danger treatment is an important task of the gas industry and an important control content of urban public safety. "Difficult to enter the house and many hidden dangers" have become common difficulties in indoor gas safety management. Human factors, gas facilities and gas appliance hidden dangers are the main causes of gas safety accidents. At present, the safety inspection of gas users once a year or twice a year as stipulated in the gas management regulations of each province and city leads to the discontinuity, limitation and contingency of the discovery of hidden dangers. It cannot monitor and control the gas safety hidden dangers of users in real time every day throughout the year; it cannot effectively supervise the safety hidden danger rectification of users. Therefore, it is urgent to research an indoor gas pipeline hidden danger monitoring technology that can comprehensively monitor the small gas leakage of user pipeline system and comprehensively monitor and control the abnormal pressure of pipeline system.

[0003] For example, the utility model patent with publication number CN216813796U discloses a gas leakage monitoring system, which comprises a signal acquisition system, a control system and an Internet of Things transmission system. The signal acquisition system comprises an atmospheric pressure detector and a gas concentration detector installed in the external environment, and further comprises a pressure detector for detecting the gas pipeline and a device state detector for detecting the operation of the equipment. The control system receives the data collected by the signal acquisition system to generate and send control instructions. The Internet of Things transmission system is connected to the control system to realize data transmission with the remote background monitoring system. The technical solution monitors the installation environment of the gas pipeline in real time by detecting the pressure in the gas pipe, the atmospheric pressure and the gas concentration in the external environment, and analyzes the three data to match the control system. The control system performs real-time monitoring all day long and transmits data to the remote monitoring system for intelligent monitoring. However, the technical solution still cannot solve the problem of lack of effective monitoring of indoor gas pipeline safety risks. SUMMARY

[0004] The technical problem to be solved by the present application is the lack of effective monitoring of indoor gas pipeline safety risks. The present application provides an indoor gas pipeline leakage hidden danger monitoring system and method and a storage medium, which can realize the safety monitoring of indoor gas pipelines.

[0005] To solve the above technical problems, the present application adopts the following technical solutions: an indoor gas pipeline leakage hidden danger monitoring system, comprising at least one detection alarm, an intelligent linkage measurement and control valve and a cloud platform, the detection alarm comprises a combustible gas detection module, a prompt module and a first communication module, the intelligent linkage measurement and control valve comprises a pressure sensing module, a temperature sensing module, a gas source opening and closing module, a display module, a second communication module and a main control module, and the detection alarm is installed indoors.

[0006] The combustible gas detection module detects the combustible gas concentration value in the air, the first communication module and the second communication module are communicatively connected and send the combustible gas concentration value detected by the combustible gas detection module to the second communication module, and the prompt module is linked with the combustible gas detection module,

[0007] The pressure sensing module detects the air pressure in the indoor gas pipeline, the temperature sensing module detects the air temperature in the indoor gas pipeline, and the gas source opening and closing module executes the gas source opening and closing; the pressure sensing module, the gas source opening and closing module and the second communication module are connected with the main control module; the intelligent linkage measurement and control valve is connected between the indoor gas pipeline and the gas equipment; when the air pressure exceeds the set value interval, the main control module controls the gas source opening and closing module to be closed and controls the display module to alarm; when the combustible gas concentration value detected by the detection alarm exceeds the preset value, the main control module controls the gas source opening and closing module to be closed and controls the prompt module to issue an alarm; when the air pressure exceeds the set value interval or the combustible gas concentration value exceeds the preset value, the main control module immediately or periodically packs the pressure sensing module detection value, the temperature sensing module detection value, the equipment working data, the gas source opening and closing module state and the detection alarm state into detection data; the second communication module is communicatively connected with the cloud platform, the cloud platform receives the detection data, the cloud platform runs a leakage evaluation model, the leakage evaluation model periodically evaluates the indoor pipeline leakage risk according to the detection data, and when the indoor pipeline leakage risk exceeds the 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.

[0008] As a preferred, the leakage evaluation model comprises a rough evaluation model and an accurate evaluation model, and the cloud platform runs the rough evaluation model and the accurate evaluation model at a preset period,

[0009] The rough evaluation model reads the increment amplitude of the periodic gas consumption of users in the same region, calculates the average increment of the increment amplitude of the users in the same region, and if the increment amplitude of the periodic gas consumption of a user exceeds the average increment, the leakage evaluation model determines that the indoor gas pipeline of the corresponding user has a leakage risk;

[0010] The precise evaluation model obtains a standard metering gas volume V of the gas using equipment according to the equipment working data, compares the standard metering gas volume V with the gas meter gas volume Vm, and determines that the indoor gas pipeline of the corresponding user has a leakage risk if the difference exceeds a preset threshold value;

[0011] If the leakage evaluation model or the precise evaluation model determines that the indoor gas pipeline of the user has a leakage risk, the cloud platform controls the prompt module to issue an alarm prompt.

[0012] Preferably, when the rough evaluation model evaluates the indoor pipeline leakage risk, the following steps are performed:

[0013] A year is divided into a plurality of periods, and the gas meter gas volume Vm of each user in a period is read;

[0014] The total gas volume of each user in a period is calculated, and the increment amplitude compared with the last period is calculated;

[0015] The users are divided into a group according to the region, the mean value of the increment amplitude of all users in the group is calculated, and is recorded as the first mean value;

[0016] The difference between the increment amplitude of each user and the first mean value is calculated, and if the difference exceeds a preset value, it is determined that the indoor gas pipeline of the user has a leakage risk.

[0017] Preferably, when the rough evaluation model evaluates the indoor pipeline leakage risk, the following steps are further performed:

[0018] After the users are divided into a group according to the region, the users are further divided into a subgroup according to the gas using rule, and the gas using rules of the users in the subgroup are similar;

[0019] The mean value of the increment amplitude of all users in the subgroup is calculated, and is recorded as the reference mean value;

[0020] If the difference between the increment amplitude of the user and the reference mean value exceeds a preset value, it is determined that the indoor gas pipeline of the user has a leakage risk.

[0021] Preferably, the method of dividing the users into a subgroup according to the gas using rule comprises:

[0022] According to the gas pressure, gas temperature, start time, stop time and gear timing sequence in the detection data corresponding to the user, the gas using flow of the user is calculated according to a preset time step, and a gas using flow timing sequence curve is obtained;

[0023] The user's gas consumption time curve is divided into preset feature segments to obtain a feature segment sequence, the preset feature segments include short stable feature segments, medium stable feature segments, long stable feature segments and inclined feature segments, the short stable feature segments refer to gas consumption time curve segments whose gas consumption changes do not exceed a preset range and whose maintenance time is within a preset first time interval, the medium stable feature segments refer to gas consumption time curve segments whose gas consumption changes do not exceed a preset range and whose maintenance time is within a preset second time interval, the long stable feature segments refer to gas consumption time curve segments whose gas consumption changes do not exceed a preset range and whose maintenance time is within a preset third time interval, and the inclined feature segments refer to gas consumption time curve segments whose slope exceeds a preset value;

[0024] The feature segment sequence is clustered using a clustering algorithm to obtain a plurality of clustering groups, and the clustering groups in the clustering groups are used as subgroups.

[0025] Preferably, when the accurate evaluation model evaluates the indoor pipeline leakage risk, the following steps are performed:

[0026] According to the gas pressure detected by the pressure sensing module and the gas temperature detected by the temperature sensing module, the gas temperature, gas pressure and duration are combined as combined data to obtain a sequence (Ti, Pi, ti0, ti1), wherein i∈I, I is the number of combined data in the sequence, ti0 to ti1 represent the start and end time of the gas temperature maintaining Ti and the gas pressure maintaining Pi;

[0027] According to the start time, the closing time and the gear time sequence of the gas consumption equipment in the period, the gas flow Vi in the period is obtained;

[0028] The adjustment coefficient ki=(T0*Pi) / (Ti*P0) is calculated, wherein T0 is the metering standard temperature, P0 is the metering standard pressure, the standard metering gas volume V=∑(ki*Vi) is calculated;

[0029] The difference β=|V-Vm| / Vm between the standard metering gas volume V and the gas consumption volume Vm of the gas meter is calculated, the difference β is used as the indoor pipeline leakage risk, and if the difference β exceeds a preset threshold, the cloud platform controls the prompt module to issue an alarm prompt.

[0030] Preferably, when the cloud platform obtains the sequence (Ti, Pi, ti0, ti1), the following steps are performed:

[0031] Set the air temperature value interval [0, Tmax] and the air pressure value interval [0, Pmax], respectively, according to the pre-set air temperature step and air pressure step, divide the air temperature value interval [0, Tmax] into the air temperature set {0, Tg1, Tg2, …, Tgn}, and divide the air pressure value interval [0, Pmax] into the air pressure set {0, Pg1, Pg2, …, Pgm};

[0032] The air temperature is adjusted according to the closest air temperature in the air temperature set, and the pressure sensing module detection value is adjusted according to the closest air pressure in the air pressure set.

[0033] The adjusted air temperature and the pressure sensing module detection value are sorted according to the time axis sequence.

[0034] The start and end time ti0 and ti1 when each air temperature and air pressure remain unchanged are obtained, that is, all sequences (Ti, Pi, ti0, ti1) are obtained.

[0035] An indoor gas pipeline leakage hidden danger monitoring method is executed by the foregoing indoor gas pipeline leakage hidden danger monitoring system, comprising the following steps:

[0036] The cloud platform periodically receives and stores detection data, and the detection data includes the air pressure of the indoor gas pipeline, the air temperature of the indoor gas pipeline, the device working data of the gas equipment, the state of the gas source opening and closing module, and the state of the detection alarm;

[0037] The cloud platform reads the gas meter gas consumption Vm of the corresponding user, and stores the gas meter gas consumption Vm associated with the detection data;

[0038] The cloud platform stores a leakage evaluation model, and periodically runs the leakage evaluation model, wherein the leakage evaluation model evaluates the indoor pipeline leakage risk according to the detection data and the gas meter gas consumption Vm;

[0039] When the indoor pipeline leakage risk exceeds a preset threshold, the cloud platform controls the prompt module to issue an alarm prompt.

[0040] Preferably, the leakage evaluation model includes a rough evaluation model and an accurate evaluation model, and the cloud platform runs the rough evaluation model and the accurate evaluation model at a preset period,

[0041] The rough evaluation model reads the increment amplitude of the periodic gas consumption of users in the same region, calculates the average increment of the increment amplitude of users in the same region, and if the increment amplitude of the periodic gas consumption of a user exceeds the average increment, the leakage evaluation model determines that the indoor gas pipeline of the corresponding user has a leakage risk;

[0042] The accurate evaluation model obtains a standard metering gas volume V of the gas equipment according to the equipment operation data, compares the standard metering gas volume V with a gas volume Vm of the gas meter, and determines that there is a leakage risk of the indoor gas pipeline of the corresponding user if the difference exceeds a preset value.

[0043] If the leakage evaluation model or the accurate evaluation model determines that there is a leakage risk of the indoor gas pipeline of the user, the cloud platform controls the display module to issue an alarm prompt.

[0044] A computer system comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is executed by the processor to implement the indoor gas pipeline leakage hidden danger monitoring method.

[0045] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the indoor gas pipeline leakage hidden danger monitoring method.

[0046] The beneficial technical effects of the present application include: realizing real-time online monitoring and alarm of indoor pipeline gas leakage, pressure anomaly, and environmental gas concentration, and being capable of automatically cutting off the gas supply of the indoor pipeline, effectively improving the safety of the indoor gas pipeline system, and effectively preventing and avoiding gas safety accidents caused by gas leakage and gas pressure anomaly of the gas pipeline system; collecting detection data through the cloud platform, forming data records, and remotely evaluating the leakage risk of the indoor pipeline through the leakage evaluation model, further improving the safety guarantee of the indoor gas pipeline system; realizing rapid leakage risk evaluation and accurate leakage risk evaluation through the rough evaluation model and the accurate evaluation model respectively, and giving consideration to early detection of leakage and improvement of the accuracy of leakage identification.

[0047] Other features and advantages of the present application will be disclosed in detail in the following specific embodiments and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0048] The present application will be further described below in combination with the drawings:

[0049] Figure 1 It is an installation position schematic view of the indoor gas pipeline leakage hidden danger monitoring system of the embodiment of the present application.

[0050] Figure 2 It is a structure schematic view of the indoor gas pipeline leakage hidden danger monitoring system of the embodiment of the present application.

[0051] Figure 3 It is a structure schematic view of the intelligent linkage measurement and control valve of the embodiment of the present application.

[0052] Figure 4 For the embodiment of the application, the structure explosion schematic diagram of the intelligent linkage measurement and control valve is shown.

[0053] Figure 5 For the embodiment of the application, the schematic diagram of the detection alarm is shown.

[0054] Figure 6 For the embodiment of the application, the schematic diagram of the step of evaluating the indoor pipeline leakage risk by the rough evaluation model is shown.

[0055] Figure 7 For the embodiment of the application, the schematic diagram of the step of evaluating the indoor pipeline leakage risk by the sub-group is shown.

[0056] Figure 8 For the embodiment of the application, the schematic diagram of the division of the feature segment is shown.

[0057] Figure 9 For the embodiment of the application, the schematic diagram of the step of evaluating the indoor pipeline leakage risk by the precise evaluation model is shown.

[0058] Figure 10 For the embodiment of the application, the schematic diagram of the division of the sub-group is shown.

[0059] Figure 11 For the embodiment of the application, the schematic diagram of the computer system is shown.

[0060] Wherein: 1, lower shell, 2, cloud head, 3, union nut, 4, gasket, 5, ball valve, 6, pressure sensor, 7, main control circuit board, 8, controller box, 9, sealing ring, 10, anti-disassembly cap, 11, button, 12, transparent window, 13, battery cover, 14, battery, 15, battery spring, 100, indoor 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 equipment, 600, computer system, 601, memory, 602, computer program, 603, processor. DETAILED DESCRIPTION

[0061] The technical solutions of the embodiments of the application will be explained and described below in combination with the drawings of the embodiments of the application. The following embodiments are only preferred embodiments of the application, and are not all. Based on the embodiments in the embodiments, other embodiments obtained by those skilled in the art without creative labor also belong to the protection scope of the application.

[0062] In the following description, the appearance of terms such as "inner", "outer", "upper", "lower", "left", "right", etc. indicates the orientation or positional relationship only for the convenience of describing the embodiments and simplifying the description, and does not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0063] Before introducing the technical solutions of the present embodiment, the application scenario of the present embodiment is introduced.

[0064] Due to the flammable and explosive characteristics of gas, once the gas supply and use facilities leak, serious accidents such as fire, explosion and poisoning are likely to occur. Indoor gas safety accident prevention and hidden danger treatment is an important task of the gas industry and an important management content of urban public safety. At present, the existing common safety scheme for indoor pipeline gas leakage is: first, concentration alarm + cut-off valve. The core gas sensitive element of the combustible gas concentration alarm is easy to be polluted by oil smoke, causing sensitivity to decrease, being easy to be affected by the environment to malfunction and misreport, and needing regular maintenance and professional inspection, which has become a potential hidden danger in use; and it cannot perceive the common small leakage of pipeline gas. The second is the pipeline gas self-closing valve. It can only automatically close the valve under super-high pressure and super-low pressure, and the commonly used product only protects the local pressure abnormity of the user gas stove and its connected hose. However, it cannot automatically monitor and cannot alarm the common pipeline gas leakage hidden danger, and it is not convenient to use and operate. Moreover, the commonly used self-closing valve does not have intelligence and informatization, and its safety management and control effect on gas hidden danger is local and limited.

[0065] According to statistics, indoor gas safety accidents are mainly caused by gas leakage. The factors of gas leakage are complex, especially for some leakage hidden dangers, and there is a lack of efficient monitoring means. The traditional gas concentration alarm cannot detect the leakage and the leakage of the pipe in the wall. Once the small gas leakage accumulates in a relatively closed space, it will reach the explosion limit with the passage of time, and it is easy to cause serious explosion accidents and cause great loss. At present, many urban gas enterprises do not have a complete information-based and intelligent gas leakage monitoring and control system scheme in the management of urban gas safety, and the urban gas safety operation is in a blind box management state, which makes it difficult to prevent and control the safety risk after the gas leakage hidden danger is found and emergency disposal.

[0066] In order to improve the intensity of indoor gas pipeline leakage monitoring and improve the accuracy and sensitivity of indoor pipeline leakage discovery, the present embodiment proposes an indoor gas pipeline leakage hidden danger monitoring system. Please refer to the accompanying drawings Figure 1The indoor gas pipeline leakage hidden danger monitoring system provided by the embodiment comprises at least one detection alarm 400, an intelligent linkage measurement and control valve 300 and a cloud platform 200. The intelligent linkage measurement and control valve 300 is connected after the indoor gas valve 100 and before all gas equipment 500, so that the intelligent linkage measurement and control valve 300 can cut off the gas source supply of all gas equipment 500 and can detect the gas pressure and gas temperature in the indoor gas pipeline. The at least one detection alarm 400 is installed near the indoor gas equipment and the gas pipeline, and is used for monitoring the combustible gas concentration in the air at the position. The recommended installation positions include the upper position near the gas equipment 500, the upper position along the indoor gas pipeline and the like.

[0067] Please refer to the attached drawings Figure 2The detection alarm 400 provided by the embodiment comprises a combustible gas detection module 401, a prompt module 402 and a first communication module 403, the intelligent linkage measurement and control valve 300 comprises 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 master control module 306, the detection alarm 400 is installed indoors, the combustible gas detection module 401 detects the combustible gas concentration value in the air, the first communication module 403 and the second communication module 305 establish a communication connection and send the combustible gas concentration value detected by the combustible gas detection module 401 to the second communication module 305, and the prompt module 402 is linked with the combustible gas detection module 401. The pressure sensing module 301 detects the gas pressure in the indoor gas pipeline, the temperature sensing module 302 detects the gas temperature in the indoor gas pipeline, and the intelligent linkage measurement and control valve 300 is connected between the indoor gas pipeline and the gas 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 connected with the master control module 306; when the gas pressure is out of limit (when the overpressure or underpressure set value is exceeded), the master control module 306 controls the gas source opening and closing module 303 to be closed and controls the display module 304 to issue an alarm (and the system independently configured intelligent controller will also issue an audible alarm); when the combustible gas concentration value detected by the detection alarm 400 exceeds the preset value, the master control module 306 controls the gas source opening and closing module 303 to be closed and controls the prompt module 402 to issue an alarm; when there is a leakage risk or a pressure abnormality risk, the master control module 306 immediately or periodically packs the pressure sensing module 301 detection value, the temperature sensing module 302 detection value, the equipment working data, the gas source opening and closing module 303 state and the detection alarm 400 state into detection data, the second communication module 305 establishes a communication connection with the cloud platform 200, the cloud platform 200 receives the detection data, the cloud platform 200 runs a leakage evaluation model, the leakage evaluation model periodically evaluates the indoor pipeline leakage risk according to the detection data and the gas meter gas consumption Vm, when the indoor pipeline leakage risk 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.

[0068] Please refer to the accompanying Figure 3 and the accompanying Figure 4Fig. 1 is a structural schematic diagram of the intelligent linkage control valve 300 used in the embodiment. The intelligent linkage control valve 300 used in the embodiment. The intelligent linkage control valve 300 comprises a connecting pipeline and an intelligent control box arranged on the connecting pipeline, and the two ends of the connecting pipeline are communicated with the household gas pipeline. The connecting pipeline comprises a lower shell 1, two cloud heads 2, two union nuts 3, two sealing gaskets 4, a pressure sensor 6, a temperature sensor and a ball valve 5. The lower shell 1 is sealingly connected with the intelligent control box, and a sealed cavity is formed therebetween. The lower shell 1 is connected with one cloud head 2 at each of the front and rear ends thereof. The ball valve 5 is arranged in the cavity formed by the lower shell 1 and the intelligent control box. The cloud head 2 is communicated with the ball valve 5, and the cloud head 2 and the ball valve 5 are sealingly connected by using the sealing gasket 4. The two cloud heads 2 are each provided with the union nut 3, and the cloud head 2 is communicated with the household gas pipeline through the union nut 3. The ball valve 5 is provided with a groove for mounting the pressure sensor 6, and the pressure sensor 6 is mounted in the groove. The pressure sensor 6 detects the gas pressure. The groove is arranged before the valve of the ball valve 5, so that the pressure sensor 6 can detect the gas pressure regardless of whether the ball valve 5 is closed or opened. The ball valve 5 is provided with a groove for mounting the temperature sensor, and the temperature sensor detects the gas temperature in the household gas pipeline.

[0069] The intelligent control box comprises 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 sealingly connected with 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 circuit board 7 is installed with a main control module 306, a gas source opening and closing module 303 and a second communication module 305. The display screen, the pressure sensor 6 and the temperature sensor are connected with the main control module 306. The pressure sensor 6 serves as a pressure sensing module 301, and the temperature sensor serves as a temperature sensing module 302. The control end of the ball valve 5 is connected with the gas source opening and closing module 303. The power supply module comprises a battery box, a plurality of batteries 14 and battery springs 15. The battery springs 15 and the batteries 14 are installed in the battery box in a conventional manner. The battery box is provided with a battery cover 13, and a sealing ring 9 is installed between the battery box and the controller box 8. The button 11 is installed on the controller box 8, and the transparent window 12 is arranged 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 with the lower shell 1 by using screws, and the controller box 8 is provided with an anti-removal cap 10 for covering the screws to prevent the screws from being removed privately. The intelligent linkage control valve 300 can accept the pressure alarm signal of the pressure sensor 6 to instruct the gas source opening and closing module 303 to cut off the gas source; can accept 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; can collect and transmit alarm information to the cloud platform 200 monitoring system and analyze and judge the data; and can also accept remote control instructions and timing control instructions to cut off the gas source through the gas source opening and closing module 303.

[0070] In another aspect, refer to the attached Figure 5 The schematic diagram of the detection alarm 400 used in the embodiment is shown in FIG. 4. The detection alarm 400 includes a detection housing, a combustible gas detection module 401, a prompt module 402, and a first communication module 403. The detection housing is provided with an air inlet grid on the side and bottom. The combustible gas detection module 401 is installed in the detection housing and corresponds to the air inlet grid in position. The prompt module 402 includes an alarm indicator light, a loudspeaker, and an audio outlet hole provided on the detection housing. The alarm indicator light is provided on the surface of the detection housing. A detection button 11 is also provided on the detection housing. When the detection button 11 is pressed, the combustible gas detection module 401 is triggered to perform a detection immediately. The combustible gas detection module 401 is connected with the first communication module 403 for sending the detection result to the second communication module 305 and then to the cloud platform 200 through the second communication module 305. The first communication module 403 can use short-distance 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, and the best is a WiFi, NB-IOT, 3 / 4 / 5G, or wired communication module. The best is that the second communication module 305 is a WiFi communication module, and the second communication module 305 is connected with a wireless gateway that can provide wired network communication. The control end of the alarm indicator light and the loudspeaker is connected with the first communication module 403. The port provided by the first communication module 403 provides a control signal to realize the control of the working state of the alarm indicator light and the loudspeaker. The alarm sound emitted by the loudspeaker is a fixed audio that is recorded in the loudspeaker in advance. In another way, the intelligent linkage measurement and control valve 300 integrates an Internet of Things module, directly interacts with the network server data through a telecommunications or mobile platform, realizes the interactive docking of the collected on-site data with the background monitoring and management system, reports the collected data and the equipment state to the background management system at regular intervals, sets parameters such as the interval time for reporting at regular intervals, the upper limit of the alarm pressure, the lower limit of the alarm pressure, the valve closing time, the leakage pressure drop percentage, and the query, and provides decision-making data for gas safety control.

[0071] The way the intelligent linkage measurement and control valve 300 uploads data to the cloud platform 200 not only includes regular uploading, but also includes the following situations:

[0072] The intelligent linkage measurement and control valve 300 uploads the pipeline pressure, pipeline temperature, security detection result, combustible gas concentration, battery 14 power, current intelligent linkage measurement and control valve 300 state, wireless network signal quality, and other related parameters. The data packet uploaded should also include the intelligent linkage measurement and control valve 300 number, SIM card basic information (such as ICCID), wireless network signal quality (CSQ), and other parameters.

[0073] When the intelligent linkage control valve 300 detects that the gas pressure of the indoor gas pipeline exceeds the upper limit or the lower limit, the upper limit is 8kPa+0.2kPa, and the lower limit is 8kPa-0.2kPa. Or when the combustible gas concentration detected by the detection alarm 400 exceeds the limit, such as when the measured environmental concentration exceeds the alarm concentration set value, within the range of 5% LEL~20% LEL, data uploading is immediately performed;

[0074] When the intelligent linkage control valve 300 detects that the battery 14 power information changes from a non-alarm state to an alarm state, data uploading is immediately performed;

[0075] The intelligent linkage control valve 300 supports real-time on-site data collection or triggered data uploading functions, such as key triggering;

[0076] After the network signal interruption of the intelligent linkage control valve 300 and no other signal coverage, resulting in data uploading interruption, when the network signal is restored, the intelligent linkage control valve 300 can automatically reconnect to the network and report the related information during the signal interruption.

[0077] On the other hand, the present embodiment can also include a smart controller, the intelligent linkage control valve 300 is installed on the indoor gas pipeline at the gas meter outlet, the smart controller can be independently installed on the wall surface near the installation position of the intelligent linkage control valve 300, or flexibly placed in a safe and convenient place in the room, and the detection alarm 400 is independently installed on the wall surface in the gas room. The intelligent linkage control valve 300 can communicate with the detection alarm 400 and the smart controller through Bluetooth, quickly realize gas pressure monitoring, and gas source cutoff interlocking control and alarm function, quickly realize combustible gas concentration monitoring and gas source cutoff interlocking control and alarm function; the main control module 306 and the smart controller can be set to automatically and safely monitor the pipeline gas leakage at appropriate times every day. Among them, the independently configured smart controller of the system will also issue an audible alarm.

[0078] On the other hand, the present embodiment provides a scheme for automatically cutting off the gas source with a delay. Specifically, the user sets the time value of the delay, and the intelligent linkage control valve 300 starts timing after opening the ball valve 5. When the user-set time value is reached, the ball valve 5 is directly closed. If the user needs to continue using gas, the ball valve 5 needs to be opened again through the intelligent linkage control valve 300. The background monitoring management system running in the cloud platform 200 and the user can set the time value of the timing valve closure to cut off the gas source. The background monitoring management system running in the cloud platform 200 can select to set the alarm pressure value and the alarm concentration value. The function of cutting off the gas source with a delay after each use can be set on and off, and the specific delay time can be set through the main control module 306 and the smart controller.

[0079] As a recommended embodiment, the intelligent controller is used as the control component of the intelligent linkage control valve 300, which is convenient for users to operate daily. The interface is friendly and humanized, and communicates with the intelligent linkage control valve 300 through Bluetooth, so as to realize valve control, parameter setting and query in the intelligent linkage control valve 300, and display system monitoring elements on the liquid crystal screen.

[0080] The timing valve closing time of the intelligent linkage control valve 300 is set through the intelligent controller. Long press the "on" key on the intelligent switch, and the previous timing valve closing time starts to flash. Press the "∧" key, and increase 10 minutes each time. Press the "∨" key, and decrease 10 minutes each time. The timing valve closing time value required by the user can be adjusted, and then the "on" key is pressed to complete the setting.

[0081] On the other hand, after the automatic cut-off of the gas source for a period of time, the intelligent security check is carried out, which specifically includes:

[0082] After the user opens the valve through the intelligent controller "valve opening" button 11 to use gas, the intelligent linkage control valve 300 will automatically close the valve to cut off the gas source after reaching the preset delay time, so that the indoor gas pipeline system is in an automatic protection state. After the automatic closing of the valve to cut off the gas source, the intelligent linkage control valve 300 performs the automatic safety check of the pipeline gas leakage hidden danger, that is, the "intelligent security check" 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 control valve 300 detects that the gas leakage in the indoor gas pipeline system causes the pressure to drop to the specified lower limit value, that is, the indoor gas pipeline pressure value P1 read when the system automatically starts the "intelligent security check" cut-off 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. The relative pressure signal is collected by the main control module 306 of the intelligent linkage control valve 300, and the on-site alarm is instructed by the detection alarm module, and the remote telephone and SMS alarm is instructed by the second communication module 305 at the same time, and the monitored abnormal information is uploaded to the cloud platform 200 immediately.

[0083] On the other hand, the embodiment specifically provides the codes displayed by the intelligent linkage control valve 300 when the gas source is cut off and the corresponding processing methods, as recorded in Table 1.

[0084] Table 1 Valve closing situation and processing method of intelligent linkage control valve 300

[0085]

[0086] For the case of pressure exceeding the upper limit and pressure exceeding the lower limit, the processing method is as follows:

[0087] Manual verification review pressure anomaly: if there is no gas odor in the gas field, the door and window should be opened gently, and then the "on" key on the intelligent controller is pressed manually. If the intelligent linkage control valve 300 built-in gas source opening and closing module 303 cannot be opened or is opened and immediately closed automatically, it proves that there is an abnormal pressure problem in the pipeline gas. The verification operation can be 1-2 times. Close the meter valve, stop using all gas appliances, and call the city gas enterprise repair phone.

[0088] For the abnormal situation of intelligent security check, the processing method is as follows:

[0089] Manual verification review leakage: if there is no gas odor in the gas field, the door and window should be opened gently, and all gas appliances should be stopped using, then the "on" key on the intelligent controller is pressed manually to open the valve opening gas source built-in intelligent linkage control valve 300; 60 seconds later, the "off" key on the intelligent controller is pressed manually to start the intelligent linkage control valve 300 to cut off the gas source; if the monitoring system alarms after 2 minutes, it proves that there is a pipeline gas leakage problem. The verification operation can be 1-2 times; close the meter valve, stop using all gas appliances, and call the city gas enterprise repair phone.

[0090] For the case of combustible gas concentration exceeding limit, the processing method is as follows:

[0091] Close the meter valve, stop using all gas appliances, and cannot use open flame; cannot open exhaust fan; cannot turn on and off the light and electrical appliances; cannot open the intelligent linkage control valve 300; if there is a gas odor in the gas field, it proves that there is a serious gas leakage in the pipeline system. The door and window should be opened gently, and then the city gas enterprise repair phone should be called away from the leakage site.

[0092] On the other hand, the embodiment provides a technical solution for realizing leakage evaluation by means of the cloud platform 200. Only relying on the intelligent linkage control valve 300 and the detection alarm 400 on site cannot find the small leakage of the indoor gas pipeline. When there is a leakage in the indoor gas pipeline and there is no detection alarm 400 installed near the leakage, the air will quickly dilute the concentration of the leaked combustible gas, so that the detection alarm 400 cannot effectively detect the combustible gas. Through the leakage evaluation model running on the cloud platform 200, the leakage evaluation and identification driven by a large amount of detection data of users in a period of time can be realized, the potential leakage can be found, and the safety of the use of the indoor gas pipeline system of the user is further ensured.

[0093] The leakage evaluation model comprises a rough evaluation model and an accurate evaluation model. The cloud platform 200 runs the rough evaluation model and the accurate evaluation model at a preset period. The rough evaluation model reads the increment amplitude of the period gas consumption of the users in the same region, calculates the average increment of the increment amplitude of the users in the same region, and determines that the indoor gas pipeline of the corresponding user has a leakage risk if the increment amplitude of the period gas consumption of the user exceeds the average increment. The accurate evaluation model obtains the standard metering gas volume V of the gas equipment 500 according to the equipment working data, compares the standard metering gas volume V with the gas meter gas consumption Vm, and determines that the indoor gas pipeline of the corresponding user has a leakage risk if the difference exceeds a preset value. If the leakage evaluation model or the accurate evaluation model determines that the indoor gas pipeline of the user has a leakage risk, the cloud platform 200 controls the display module 304 and the intelligent controller independently configured by the system to issue an alarm prompt.

[0094] Please refer to the attached Figure 6 When the rough evaluation model evaluates the indoor pipeline leakage risk, the following steps are performed:

[0095] Step A01) Divide a year into a plurality of periods, and read the gas meter gas consumption Vm of each user in the period.

[0096] Step A02) Calculate the total gas consumption of each user in the period, and calculate the increment amplitude compared with the previous period.

[0097] Step A03) Divide the users into a group according to the region, calculate the mean value of the increment amplitudes of all users in the group, and record it as the first mean value.

[0098] Step A04) Calculate the difference between the increment amplitude of each user and the first mean value. If the difference exceeds a preset threshold, it is determined that the indoor gas pipeline of the user has a leakage risk.

[0099] The year is divided into four periods in this embodiment, i.e., each quarter is a period, and a total of three months are included. The best period division manner is to match the natural seasons, i.e., each natural season is a period. The cloud platform 200 reads the gas meter gas consumption Vm of the user in the period, and the gas meter gas consumption Vm is reported to the cloud platform 200 by the gas meter of the user. The user's gas meter reports the gas consumption to the cloud platform 200, which belongs to the prior art and is practical, and is not described here. After obtaining the gas meter gas consumption Vm, the increment amplitude is calculated compared with the previous period. Although the daily gas consumption of the user has randomness. But the gas consumption of the whole period will be able to eliminate the randomness of the user using gas, so as to be able to reflect the change rule of the gas consumption caused by the state of the gas using equipment 500 and the environment. By further dividing the user according to the region, the users in the same region are compared horizontally, and the change of the gas consumption caused by the change of the environment is eliminated, so that the change of the gas consumption in the period mainly reflects the change of the state of the gas using equipment 500 and the indoor pipeline. If the user and other users have little difference in the increment amplitude, it means that the state of the gas using equipment 500 and the indoor pipeline is good, and it is determined that there is no leakage. If the user and other users in the same region have a significant increment amplitude, the user's gas consumption habit changes, and the gas consumption increases. If the user does not change the gas consumption habit, it is necessary to consider that the user's indoor pipeline has a leakage risk, and personnel need to be arranged to check on site, and the detection alarm 400 is controlled to issue an alarm to prompt the user to check and maintain the good ventilation state of the indoor.

[0100] Please refer to the attached Figure 7 When the rough evaluation model evaluates the indoor pipeline leakage risk, the following steps are also performed:

[0101] Step B01) After the users are divided into a group according to the region, the users are further divided into a subgroup according to the gas using rule, and the gas using rules of the users in the subgroup are similar;

[0102] Step B02) Calculate the mean value of the increment amplitude of all users in the subgroup, denoted as the reference mean value;

[0103] Step B03) If the difference between the increment amplitude of the user and the reference mean value exceeds the preset threshold value, it is determined that the indoor gas pipeline of the user has a leakage risk.

[0104] In the scheme described in steps A01) to A04), the first average value contains all users in the same region. Since the gas usage habits of users can affect the incremental amplitude, the accuracy of the first average value is relatively low. Therefore, the embodiment provides a technical scheme for further dividing users in the same region into subgroups. And the division of subgroups is made according to the gas usage habits of users. Further eliminate the influence of the difference of gas usage habits of users on the reference value of the first average value. When the user and the reference average value are compared, the incremental amplitude difference is large, indicating that the user has suddenly changed the gas usage habit or the indoor pipeline has a leakage. At this time, the alarm should be sent out through the detection alarm 400. If the user knows that the gas usage habit has changed, there is no need to worry too much about the leakage. On the contrary, personnel should be arranged to check on site, and the user can also actively make an appointment for on-site inspection.

[0105] On the other hand, the embodiment provides a specific method for dividing users into subgroups according to gas usage rules, comprising:

[0106] According to the gas pressure, gas temperature, start time, stop time and gear sequence of the gas usage equipment 500 in the detection data corresponding to the user, the gas usage flow of the user is calculated according to the preset time step, and a gas usage flow time sequence curve is obtained;

[0107] The gas usage flow time sequence curve of the user is divided into preset characteristic segments to obtain a characteristic segment sequence. The preset characteristic segments include short stable characteristic segments, medium stable characteristic segments, long stable characteristic segments and inclined characteristic segments. The short stable characteristic segment refers to a gas usage flow time sequence curve segment whose gas usage flow change does not exceed a preset range and whose maintenance time is in a preset first time interval. The medium stable characteristic segment refers to a gas usage flow time sequence curve segment whose gas usage flow change does not exceed a preset range and whose maintenance time is in a preset second time interval. The long stable characteristic segment refers to a gas usage flow time sequence curve segment whose gas usage flow change does not exceed a preset range and whose maintenance time is in a preset third time interval. The inclined characteristic segment refers to a gas usage flow time sequence curve segment whose slope exceeds a preset threshold.

[0108] The characteristic segment sequence is clustered using a clustering algorithm to obtain a plurality of clustering groups, and the clustering groups in the clustering groups are used as subgroups.

[0109] Using the short stable characteristic segment, the medium stable characteristic segment, the long stable characteristic segment and the inclined characteristic segment proposed in the embodiment, the gas usage flow curve is greatly simplified, which not only improves the efficiency of dividing subgroups. More importantly, a large number of detailed features of gas usage flow are hidden, and only the gas usage flow rules conforming to the characteristic segments are retained. Please refer to the attached Figure 8It can be seen that the gas flow time series curves of the user with the largest gas flow and the user with the smallest gas flow are quite different, but after dividing the characteristic segments, the gas use rules of the two users are very close and can be divided into the same sub-group. The increment amplitudes of the two users are of mutual reference significance. The gas flow time series curve of the remaining one user is obviously different from the previous two after being divided into characteristic segments. In this embodiment, the specific method of dividing the characteristic segments is as follows. The characteristic code is used to represent the characteristic segment, and the corresponding relationship between the characteristic code and the characteristic segment is as follows: ST1-short stable characteristic segment, ST2-medium stable characteristic segment, ST3-long stable characteristic segment, and BI-inclined characteristic segment. The gas flow time series curve of the user is matched with the characteristic segments, and after the matching, the characteristic segment sequence is obtained. The characteristic code sequence is used to represent the characteristic segment sequence, and the characteristic code sequence of the gas flow time series curve of each user is obtained. Since the characteristic code sequence is in the text data format and skillfully hides a large amount of unnecessary gas flow size details, only the characteristics of the change of the gas flow are retained, which can effectively extract the user's gas use habit characteristics. Moreover, the text format characteristic code sequence is stored and compared, which has higher efficiency and occupies less storage space.

[0110] Please refer to the accompanying Figure 9 When the precise evaluation model evaluates the indoor pipeline leakage risk, the following steps are performed:

[0111] Step C01) According to the gas pressure detected by the pressure sensing module 301 and the gas temperature detected by the temperature sensing module 302, the gas temperature and pressure are associated with the duration to obtain the sequence (Ti, Pi, ti0, ti1), wherein i∈I, I is the number of combination data in the sequence, ti0 to ti1 represent the start and end time of the gas temperature maintaining Ti and the gas pressure maintaining Pi;

[0112] Step C02) According to the start time, the closing time and the gear time sequence of the gas use equipment 500 in the period, the gas flow Vi in the period is obtained;

[0113] Step C03) Calculate the adjustment coefficient ki=(T0*Pi) / (Ti*P0), wherein T0 is the standard temperature of measurement, P0 is the standard pressure of measurement, and the standard measurement gas volume V=∑(ki*Vi) is calculated;

[0114] Step C04) Calculate the difference β=|V-Vm| / Vm between the standard measurement gas volume V and the gas consumption Vm of the gas meter, and the difference β is used as the indoor pipeline leakage risk. If the difference β exceeds the preset value, the cloud platform 200 controls the display module 304 andThe system independently configures the intelligent controller to issue an alarm prompt. When the air temperature and air pressure remain within a certain small range, it is considered that the air temperature and air pressure remain unchanged. The air pressure and temperature are divided into a plurality of combined data for calculating the standard metering gas volume V. The metering gas volume Vm of the gas meter is also converted into the flow rate at the standard pressure and standard temperature, and then the gas volume is calculated.

[0115] Please refer to the attached Figure 10 When the cloud platform 200 obtains the sequence (Ti, Pi, ti0, ti1), the following steps are performed:

[0116] Step D01) Set the air temperature value interval [0, Tmax] and the air pressure value interval [0, Pmax], and divide the air temperature value interval [0, Tmax] into the air temperature rounding set {0, Tg1, Tg2, …, Tgn} and the air pressure value interval [0, Pmax] into the air pressure rounding set {0, Pg1, Pg2, …, Pgm} according to the pre-set air temperature step and air pressure step.

[0117] Step D02) Round the air temperature according to the closest air temperature rounding in the air temperature rounding set, and round the pressure sensing module 301 detection value according to the closest air pressure rounding in the air pressure rounding set.

[0118] Step D03) Sort the rounded air temperature and pressure sensing module 301 detection value according to the time axis sequence.

[0119] Step D04) Obtain the start and end time ti0 and ti1 when each air temperature and air pressure remains unchanged, that is, obtain all the sequence (Ti, Pi, ti0, ti1).

[0120] When the range of air temperature and air pressure that is considered to remain unchanged is selected to be small, that is, the air temperature step and the air pressure step are small, more combined data will be obtained, although the data calculation amount is increased, but the calculation accuracy of the standard metering gas volume V is also increased. Conversely, to improve the running efficiency of the accurate evaluation model, the range of air temperature and air pressure that is considered to remain unchanged is selected to be large, that is, the air temperature step and the air pressure step are large. Although it will lead to a lower calculation accuracy of the standard metering gas volume V, but only need to adjust the size of the pre-set threshold value corresponding to β, the influence can be eliminated. Because the changes of air temperature and air pressure have basically the same regularity for all users. When the calculation accuracy of the standard metering gas volume V is reduced, the errors of the standard metering gas volume V of all users are also basically the same. Therefore, only need to adjust the size of the pre-set threshold value corresponding to β, the alarm of leakage can still be realized.

[0121] On the other hand, the embodiment provides a household gas pipeline leakage hidden danger monitoring method, which is executed by the household gas pipeline leakage hidden danger monitoring system as described above, and includes the following steps:

[0122] The cloud platform 200 periodically receives and stores detection data, which includes the gas pressure of the indoor gas pipeline, the gas temperature of the indoor gas pipeline, the device working data of the gas equipment 500, the state of the gas source opening and closing module 303, and the state of the detection alarm 400;

[0123] The cloud platform 200 reads the gas meter gas consumption Vm of the corresponding user, and stores the gas meter gas consumption Vm associated with the detection data;

[0124] The cloud platform 200 stores a leakage evaluation model, and periodically runs the leakage evaluation model. The leakage evaluation model evaluates the indoor pipeline leakage risk according to the detection data and the gas meter gas consumption Vm.

[0125] When the indoor pipeline leakage risk exceeds a preset threshold, the cloud platform 200 controls the prompt module 402 to issue an alarm prompt.

[0126] The leakage evaluation model includes a rough evaluation model and an accurate evaluation model. The cloud platform 200 runs the rough evaluation model and the accurate evaluation model at a preset period,

[0127] The rough evaluation model reads the increment amplitude of the periodic gas consumption of users in the same region, calculates the average increment of the increment amplitude of users in the same region, and if the increment amplitude of the periodic gas consumption of a user exceeds the average increment, the leakage evaluation model determines that the indoor gas pipeline of the corresponding user has a leakage risk.

[0128] The accurate evaluation model obtains the standard metering gas volume V of the gas equipment 500 according to the device working data, compares the standard metering gas volume V with the gas meter gas consumption Vm, and if the difference exceeds a preset value, the accurate evaluation model determines that the indoor gas pipeline of the corresponding user has a leakage risk.

[0129] If the leakage evaluation model or the accurate evaluation model determines that the indoor gas pipeline of the user has a leakage risk, the cloud platform 200 controls the display module 304 and the system independently configured intelligent controller to issue an alarm prompt.

[0130] On the other hand, the embodiment of the present application provides a computer system 600, please refer to the attached Figure 11 The computer system 600 includes a memory 601, a processor 603, and a computer program 602 stored in the memory 601 and executable on the processor 603. The computer program 602 is executed by the processor 603 to implement the method as described above. The computer system 600 can be a general-purpose computer system 600 or a special-purpose computer system 600. In specific implementation, the computer system 600 can be a server cluster including a plurality of servers, such as a blockchain system including a plurality of nodes. Those skilled in the art can understand that Figure 11The computer system 600 is merely an example and is not intended to limit the computer system 600, which can include more or fewer components than those shown, or combine some components, or have different components such as input / output devices, network access devices, and the like.

[0131] The processor 603 can be a central processing unit (CPU), and can also be other general purpose processors 603, digital signal processors (DSP) 603, application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, and the like. The general purpose processor 603 can be a microprocessor 603 or can also be any conventional processor 603.

[0132] The memory 601 can be an internal storage unit of the computer system 600, such as a hard disk or a memory of the computer system 600 in some embodiments. The memory 601 can also be an external storage device of the computer system 600, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like, equipped on the computer system 600 in other embodiments. Further, the memory 601 can include both the internal storage unit and the external storage device of the computer system 600. The memory 601 is used to store an operating system, an application program, a boot loader, data, and other programs, and the like. The memory 601 can also be used to temporarily store data that has been output or will be output.

[0133] In another aspect, the embodiments of the present application provide a computer readable storage medium, which stores a computer program 602, and the computer program 602 is executed by the processor 603 to implement the method as described above.

[0134] The above description is merely a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Those skilled in the art should understand that the present application includes but is not limited to the contents described in the drawings and the above specific implementation. Any modification that does not deviate from the functional and structural principles of the present application will be included in the scope of the claims.

Claims

1. Indoor gas pipeline leakage risk monitoring system, characterized in that: It comprises at least one detection alarm, intelligent linkage control valve and cloud platform, the detection alarm comprises combustible gas detection module, prompt module and first communication module, the intelligent linkage control valve comprises pressure sensing module, temperature sensing module, gas source opening and closing module, display module, second communication module and main control module, the detection alarm is installed indoors; The combustible gas detection module detects the combustible gas concentration value in the air, the first communication module and the second communication module establish communication connection and send the combustible gas concentration value detected by the combustible gas detection module to the second communication module, and the prompt module is linked with the combustible gas detection module; The pressure sensing module detects the gas pressure in the indoor gas pipeline, the temperature sensing module detects the gas temperature in the indoor gas pipeline, and the gas source opening and closing module executes the gas source opening and closing; The pressure sensing module, gas source opening and closing module and second communication module are connected with the main control module; The intelligent linkage control valve is connected between the indoor gas pipeline and the gas equipment; When the gas pressure exceeds the set value interval, the main control module controls the gas source opening and closing module to close and controls the display module to alarm; When the combustible gas concentration value detected by the detection alarm exceeds the preset value, the main control module controls the gas source opening and closing module to close and controls the prompt module to issue an alarm; When the gas pressure exceeds the set value interval or the combustible gas concentration value exceeds the preset value, the main control module immediately or periodically packs the pressure sensing module detection value, the temperature sensing module detection value, the equipment working data, the gas source opening and closing module state and the detection alarm state into detection data; The second communication module and the cloud platform establish communication connection, the cloud platform receives the detection data, the cloud platform runs a leakage evaluation model, the leakage evaluation model periodically evaluates the indoor pipeline leakage risk according to the detection data, when the indoor pipeline leakage risk exceeds the preset value, the cloud platform controls the display module to issue an alarm prompt, and controls the intelligent linkage control valve to cut off the gas source; The leakage evaluation model comprises a rough evaluation model and a precise evaluation model, and the cloud platform runs the rough evaluation model and the precise evaluation model at a preset period; The rough evaluation model reads the increment amplitude of the periodic gas consumption of users in the same region, calculates the average increment of the increment amplitude of users in the same region, and if the increment amplitude of the periodic gas consumption of a user exceeds the average increment, the leakage evaluation model determines that the indoor gas pipeline of the corresponding user has a leakage risk; The precise evaluation model obtains the standard metering gas volume V of the gas equipment according to the equipment working data, compares the standard metering gas volume V with the gas meter gas consumption Vm, and if the difference exceeds the preset threshold, the precise evaluation model determines that the indoor gas pipeline of the corresponding user has a leakage risk; If the leakage evaluation model determines that the indoor gas pipeline of the user has a leakage risk, the cloud platform controls the display module to issue an alarm prompt.

2. The indoor gas pipeline leakage risk monitoring system according to claim 1, wherein: when the preliminary evaluation model evaluates the indoor pipeline leakage risk, the following steps are performed: dividing a year into a plurality of periods, reading the gas meter consumption Vm of each user in a period; calculating the total gas consumption of each user in a period, and calculating the increment amplitude compared with the previous period; dividing the users into a group according to the region, calculating the mean value of the increment amplitude of all users in the group, and denoted as the first mean value; calculating the difference between the increment amplitude of each user and the first mean value, and if the difference exceeds a preset threshold, it is determined that the indoor gas pipeline of the user has a leakage risk.

3. The indoor gas pipeline leakage risk monitoring system according to claim 2, wherein: when the preliminary evaluation model evaluates the indoor pipeline leakage risk, the following steps are further performed: after dividing the users into a group according to the region, further dividing the users into a subgroup according to the gas consumption law, and the gas consumption law of the users in the subgroup is similar; calculating the mean value of the increment amplitude of all users in the subgroup, denoted as the reference mean value; if the difference between the increment amplitude of the user and the reference mean value exceeds a preset value, it is determined that the indoor gas pipeline of the user has a leakage risk; the method for dividing the users into a subgroup according to the gas consumption law comprises: according to the pressure, temperature, start time, stop time and gear time sequence of the gas consumption equipment in the detection data corresponding to the user, calculating the gas consumption flow of the user according to a preset time step, and obtaining a gas consumption flow time sequence curve; dividing the gas consumption flow time sequence curve of the user into a plurality of preset characteristic segments, obtaining a characteristic segment sequence, and 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, the short stable characteristic segment refers to a gas consumption flow time sequence curve segment whose gas consumption flow change does not exceed a preset range and whose maintenance time is within a preset first time interval, the medium stable characteristic segment refers to a gas consumption flow time sequence curve segment whose gas consumption flow change does not exceed a preset range and whose maintenance time is within a preset second time interval, the long stable characteristic segment refers to a gas consumption flow time sequence curve segment whose gas consumption flow change does not exceed a preset range and whose maintenance time is within a preset third time interval, and the inclined characteristic segment refers to a gas consumption flow time sequence curve segment whose slope exceeds a preset value; using a clustering algorithm to cluster the characteristic segment sequence, obtaining a plurality of clustering groups, and if the clustering group is used as a subgroup.

4. The indoor gas pipeline leakage risk monitoring system according to any one of claims 1 to 3, wherein: when the accurate evaluation model evaluates the indoor pipeline leakage risk, the following steps are performed: according to the pressure detected by the pressure sensing module and the temperature detected by the temperature sensing module, taking the gas temperature, gas pressure and duration as combined data, obtaining a sequence (Ti, Pi, ti0, ti1), wherein i∈I, I is the number of combined data in the sequence, and ti0 to ti1 represent the start and end time of the gas temperature maintaining Ti and the gas pressure maintaining Pi. ​ ​ According to the starting time, closing time and gear timing of the gas-using equipment in the cycle, the gas flow Vi in the cycle is obtained; The adjustment coefficient ki=(T0*Pi) / (Ti*P0) is calculated, wherein T0 is the standard temperature of measurement, P0 is the standard pressure of measurement, the standard measurement gas volume V=∑(ki*Vi) is calculated; The difference β=|V-Vm| / Vm between the standard measurement gas volume V and the gas meter gas consumption Vm is calculated, the difference β is used as the indoor pipeline leakage risk, and if the difference β exceeds the preset value, the cloud platform controls the prompt module to issue an alarm prompt.

5. The indoor gas pipeline leakage hidden danger monitoring system according to claim 4, characterized in that, When the cloud platform obtains the sequence (Ti, Pi, ti0, ti1), the following steps are performed: The gas temperature value interval [0, Tmax] and the gas pressure value interval [0, Pmax] are set, the gas temperature value interval [0, Tmax] is divided into a gas temperature rounding set {0, Tg1, Tg2, …, Tgn} according to a pre-set gas temperature step, and the gas pressure value interval [0, Pmax] is divided into a gas pressure rounding set {0, Pg1, Pg2, …, Pgm} according to a pre-set gas pressure step; The gas temperature is rounded according to the closest gas temperature rounding in the gas temperature rounding set, and the pressure sensing module detection value is rounded according to the closest gas pressure rounding in the gas pressure rounding set; The rounded gas temperature and the pressure sensing module detection value are sorted according to the time axis sequence; The start and end time ti0 and ti1 when each gas temperature and gas pressure remain unchanged are obtained, that is, all the sequence (Ti, Pi, ti0, ti1) is obtained.

6. An indoor gas pipeline leakage hidden danger monitoring method, which is performed by the indoor gas pipeline leakage hidden danger monitoring system according to any one of claims 1 to 5, characterized in that, The following steps are included: The cloud platform periodically receives and stores detection data, the detection data including the gas pressure of the indoor gas pipeline, the gas temperature of the indoor gas pipeline, the device working data of the gas-using equipment, the state of the gas source opening and closing module, and the state of the detection alarm; The cloud platform reads the gas meter gas consumption Vm of the corresponding user, and stores the gas meter gas consumption Vm associated with the detection data; The cloud platform stores a leakage evaluation model, and periodically runs the leakage evaluation model, wherein the leakage evaluation model evaluates the indoor pipeline leakage risk according to the detection data and the gas meter gas consumption Vm; When the indoor pipeline leakage risk exceeds the preset value, the cloud platform controls the prompt module to issue an alarm prompt.

7. A computer system, characterized by The computer system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is executed by the processor to implement the indoor gas pipeline leakage hidden danger monitoring method according to claim 6.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the indoor gas pipeline leakage hidden danger monitoring method according to claim 6.

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