Fuel gas use monitoring management system and method

Abstract

The invention discloses a fuel gas use monitoring management system and method, and belongs to the technical field of fuel gas use monitoring, the system comprises an AI monitor used for monitoring the fuel gas use state, the AI monitor is in communication connection with a linkage control system, and the linkage control system is used for controlling fuel gas on-off and monitoring fuel gas leakage; the system further comprises a supervision user client and a database, the supervision user client communicates with the AI monitor, and the database is used for storing monitoring and analysis data in the AI monitor so that the supervision user client can analyze and call the monitoring and analysis data. The linkage control system further comprises a user client which communicates with the AI monitor and is used for self-inspection of the linkage control system. The method is used for solving the problem of standardizing gas use and management in the gas use process.

Description

Technical Field

[0001] The present invention belongs to the technical field of gas usage monitoring, and in particular relates to a gas usage monitoring management system and method. Background Art

[0002] Gas safety accidents have always been in a state of high incidence. Once gas explodes, it will lead to irreversible serious consequences and cause huge losses to people's lives and property. According to the case analysis of gas accidents in recent years, it can be seen that gas accidents mainly occur in the use of gas. The causes include gas leakage, gas hose connection problems, gas valve not closed, gas stoves unattended, dry burning, etc.

[0003] In a word, most of the gas accidents are caused by negligent management and maintenance. However, since the gas pipelines are connected to every household and the number is huge, there is currently no effective way to conduct effective supervision. Moreover, the situation in each place is different, and supervision is difficult. Although some restaurants are equipped with cameras in the kitchen, their main function is to prevent theft and they cannot supervise gas. Moreover, there are many brands of cameras, and each has its own user client. It is impossible to effectively change to a unified format, and the cost is high.

[0004] Therefore, a monitoring management system and method for the gas use process is proposed to ensure the standardization of gas use and management, improve the safety of gas use, and reduce safety accidents. Summary of the invention

[0005] In view of the above problems, the present invention provides a gas usage monitoring and management system and method for solving the problems of regulating gas usage and management during gas usage.

[0006] To achieve the above object, the technical solution adopted by the present invention is:

[0007] A gas usage monitoring and management system, comprising an AI monitor for monitoring the gas usage status, the AI ​​monitor being communicatively connected to a linkage control system, the linkage control system being used to control gas on and off and monitor gas leakage;

[0008] It also includes a supervisory user client and a database, which is used to store monitoring and analysis data in the AI ​​monitor to facilitate parsing and calling by the supervisory user client;

[0009] It also includes a user client, which communicates with the AI ​​monitor and is used for self-inspection of the linkage control system.

[0010] As a further improvement of the above solution, the linkage control system includes a linkage controller, and the linkage controller is respectively connected to the alarm and the cut-off valve by signals;

[0011] The linkage control system also includes a gas source and a stove, and the gas source and the stove are respectively connected to the cut-off valve through a hose.

[0012] A gas usage monitoring and management method, used as a further improvement of the above scheme, comprises the following steps:

[0013] Step 1: Control to turn on the linkage control system. When the AI ​​monitor self-checks and is in normal operation, the linkage control system starts to supply gas;

[0014] Step 2: During the use of gas, when the linkage control system is turned on, a usage file is automatically created, and the information monitored and communicated by the AI ​​monitor is stored in the usage file, and continuously uploaded to the database in a fixed format, and the user client is supervised to call the uploaded file through the parsing software;

[0015] Step 3: The AI ​​monitor sends a self-check instruction to the user client. After manually taking a photo of the linkage control system for self-check, it is uploaded through the user client and packaged and uploaded to the database along with the monitoring information of the AI ​​monitor.

[0016] As a further improvement of the above scheme, after the linkage control system starts to supply gas, the alarm continuously monitors the gas leakage concentration and transmits the signal to the linkage controller for processing;

[0017] When the gas leakage concentration exceeds the standard, the linkage controller controls the shut-off valve to close and cut off the gas supply, and transmits the gas leakage information to the AI ​​monitor for recording, and then notifies the relevant maintenance personnel through the user client for processing.

[0018] As a further improvement of the above scheme, after the linkage control system starts to supply gas in step 2, the linkage controller and the AI ​​monitor transmit signals to each other according to a set time period to confirm the normal working environment of the AI ​​monitor and the linkage controller;

[0019] When the AI ​​monitor fails to receive a signal from the linkage controller within multiple time periods, the AI ​​monitor transmits a maintenance signal to the user client to notify the user to perform maintenance on the linkage control system;

[0020] When the linkage controller cannot receive the signal from the AI ​​monitor within multiple time periods, the linkage controller controls the shut-off valve to cut off the gas.

[0021] As a further improvement of the above scheme, in step 2, the contents monitored by the AI ​​monitor include the gas source status, the flame status, the human behavior status, and the stove status;

[0022] And in the control system of the AI ​​monitor, the safety status of the monitored content is expressed as: S 气源, S 火焰 , S 行为 , S 灶台 ;

[0023] Therefore, for the safety status of the entire system S = (S 气源 )∪(S 火焰 )∪(S 行为 )∪(S 灶台 ); When S is safe, gas supply is carried out normally.

[0024] As a further improvement of the above scheme, a safety score F of the safety status S of the entire system is calculated according to different weights; the safety score F is calculated, and a safety threshold of a corresponding graded processing method is established according to the calculated safety score F, and the safety score F is compared with the safety threshold to confirm the corresponding safety level and the corresponding processing method.

[0025] As a further improvement of the above scheme, the safety threshold values ​​determined according to different levels are T1 and T2, and 0<T1<T2<1;

[0026] The levels and treatments of confirmation are as follows:

[0027]

[0028] As a further improvement of the above scheme, in step 3, during the self-check process, the user client generates a self-check QR code. The user first scans the QR code through the AI ​​monitor to enter the self-check system. Then the user takes photos of various parts in the linkage control system, and the AI ​​monitor takes photos to detect the artificial behavior status.

[0029] By reading the data uploaded in the user client and the AI ​​monitor, it analyzes whether the uploaded self-inspection photos correspond to the artificial behavior status.

[0030] As a further improvement of the above solution, when the self-inspection photo and the manual behavior state correspond to each other, it is determined that the self-inspection requirement is completed;

[0031] When the self-inspection photo is inconsistent with the manual behavior state, the self-inspection is judged to be unqualified. The unqualified instruction is transmitted to the AI ​​monitor through the control system of the AI ​​monitor 10. At the same time, the AI ​​monitor continues to send the instruction requiring self-inspection to the user client to request to continue the self-inspection, and the AI ​​monitor transmits the signal to the linkage control system, and the linkage control system performs gas cutting processing until the self-inspection requirements are completed.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. Through the AI ​​monitor, the gas usage status can be monitored during the use of gas, so as to assess the risk of gas during use, and corresponding processing can be carried out according to the assessed risk. That is, the corresponding signal can be transmitted to the linkage controller through the AI ​​monitor, so that the linkage controller can control the on and off of the cut-off valve, so as to prevent possible safety hazards related to gas use, reduce people’s property losses, and ensure the standard operation of gas during use.

[0034] 2. Through the set supervision user client, the data monitored by the AI ​​monitor can be called and processed, so as to monitor and supervise the units using gas. For gas used on a large scale, the usage situation can be effectively grasped to reduce the difficulty of supervision. During the use process, self-inspection of various parts of the gas pipeline can be required to avoid safety hazards. In addition, during the self-inspection process, relying on the monitoring and analysis capabilities of the AI ​​monitor, the behavior status of the self-inspector can be monitored, and the self-inspection data can be compared with the behavior status data of the monitored person, so as to avoid the falsification of self-inspection data.

[0035] 3. The AI ​​monitor and the linkage controller transmit signals to each other, which can play a role of mutual linkage. When the AI ​​monitor cannot receive the signal from the linkage controller, it will transmit the signal to the user client, which will notify manual maintenance and troubleshooting. When the linkage controller cannot receive the signal from the AI ​​monitor, the linkage controller controls the shut-off valve to cut off the air intake to prevent the AI ​​monitor from being damaged and prevent the situation where it cannot be monitored. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention;

[0037] In the figure: 10, AI monitor; 11, linkage control system; 111, linkage controller; 112, alarm; 113, cut-off valve; 114, gas source; 115, stove; 12, database; 13, supervision user client; 14, user client. DETAILED DESCRIPTION

[0038] In order to enable those skilled in the art to better understand the technical solution, the present invention is described in detail below in conjunction with embodiments. The description in this section is only exemplary and explanatory and should not have any limiting effect on the scope of protection of the present invention.

[0039] like Figure 1As shown, the specific scheme of this embodiment is: a gas usage monitoring and management system, including an AI monitor 10 for monitoring the gas usage status. Specifically, the AI ​​monitor 10 is generally a camera with an AI function. The AI ​​monitor 10 is communicatively connected to a linkage control system 11. The linkage control system 11 is used to control the gas on and off and monitor gas leakage;

[0040] It also includes a supervisory user client 13 and a database 12, wherein the database 12 is used to store monitoring and analysis data in the AI ​​monitor 10, so as to facilitate parsing and calling by the supervisory user client 13;

[0041] It also includes a user client 14, which communicates with the AI ​​monitor 10 and is used for self-inspection of the linkage control system 11. Generally, the user client 14 and the AI ​​monitor 10 are used in conjunction with each other, and are provided by the manufacturer of the AI ​​monitor 10 and installed on mobile terminals such as mobile phones.

[0042] like Figure 1 As shown, as a preferred embodiment of the above embodiment, the linkage control system 11 includes a linkage controller 111, and the linkage controller 111 is respectively connected to the alarm 112 and the cut-off valve 113 by signals. The alarm 112 is mainly used for detecting and alarming gas leakage. When the alarm 112 detects gas leakage, it sends a gas leakage signal to the linkage controller 111;

[0043] The linkage control system 11 also includes a gas source 114 and a stove 115. The gas source mainly includes a liquefied petroleum gas cylinder and a gas pipeline. The gas source 114 and the stove 115 are respectively connected to the shut-off valve 113 through a hose. The shut-off valve 113 is opened or closed under the control of the linkage controller 111, thereby supplying gas to the stove 115.

[0044] In order to further effectively supervise the use of gas, based on the above-mentioned supervision system, a gas use monitoring and management method is proposed, which includes the following steps:

[0045] Step 1: Control to turn on the linkage control system 11. When the AI ​​monitor 10 self-checks and works normally, the linkage control system 11 starts to supply gas;

[0046] Step 2: During the use of gas, when the linkage control system 11 is turned on, a use file is automatically created. The created file is created according to the power-on time, and the information monitored and communicated by the AI ​​monitor 10 is stored in the use file, and continuously uploaded to the database 12 in a fixed format. More specifically, the information stored in the use file not only includes the information monitored and communicated by the AI ​​monitor 10, but also includes the status of gas use during use, and feedback from system self-checking after a fault occurs, etc., which can be used to facilitate investigation and monitoring of the entire system. The supervisory user client 13 calls the uploaded file through the parsing software to facilitate the investigation and use of the supervisory personnel. The parsing software is customized by the supervisory department, and the file format saved and uploaded by the AI ​​monitor 10 produced by the manufacturer needs to comply with the unified reading format of the parsing software to be correctly uploaded, so as to form a unified data standard.

[0047] Step 3: The AI ​​monitor 10 sends a self-inspection instruction to the user client 14. After manually taking photos of the linkage control system 11 for self-inspection, the self-inspection photos are uploaded through the user client 14 and packaged together with the monitoring information of the AI ​​monitor 10 and uploaded to the database 12. During the self-inspection process, the self-inspection data uploaded to the database 12 is treated as a separate data file and is not stored in the usage file to avoid confusion with the usage file data.

[0048] As a preferred embodiment of the above, in step 2, after the linkage control system 11 starts to supply gas, the alarm 112 continuously monitors the gas leakage concentration and transmits the signal to the linkage controller 111 for processing;

[0049] When the alarm 112 detects that the gas leakage concentration exceeds the standard, the linkage controller 111 controls the shut-off valve 113 to close and cut off the gas supply, and transmits the gas leakage information to the AI ​​monitor 10 for recording. Specifically, after the alarm 112 detects the gas leakage, it transmits the signal to the linkage controller 111. To prevent continuous gas leakage, the linkage controller 111 will close the shut-off valve 113 to cut off the gas supply, and communicate with the AI ​​monitor 10 to send the gas leakage signal to the AI ​​monitor 10; the AI ​​monitor 10 records the gas leakage information in the usage file on the one hand, and communicates with the user client 14 on the other hand. When communicating with the user client 14, the user is notified that the gas cannot be used due to gas leakage, so that the user can notify the relevant maintenance personnel to handle it.

[0050] As a preferred method of the above embodiment, after the linkage control system 11 starts to supply gas, the linkage controller 111 and the AI ​​monitor 10 transmit signals to each other according to the set time period. The so-called mutual transmission of signals within the time period means sending signals to each other within a certain time interval. The nature of the sent signal is a signal that there is no abnormality in the status of each device or monitoring, so as to confirm the normal working environment of the AI ​​monitor 10 and the linkage controller 111. The set time interval is randomly switched every 0.5-1h.

[0051] When the AI ​​monitor 10 cannot receive a signal from the linkage controller 111 within multiple time periods, it means that the relevant equipment in the linkage control system 11 fails and cannot be used any more. The AI ​​monitor 10 transmits a maintenance signal to the user client 14 to notify the user to send maintenance personnel to repair the linkage control system 11.

[0052] When the linkage controller 111 cannot receive the signal from the AI ​​monitor 10 within multiple time periods, it means that the AI ​​monitor 10 itself has a fault, or the content monitored by the AI ​​monitor 10 is abnormal. For example, the monitoring area of ​​the AI ​​monitor 10 is blocked, or the monitoring position of the AI ​​monitor 10 is changed, or the AI ​​monitor 10 is damaged inside, the line is aged, and other problems make it unable to work normally. At this time, it cannot monitor the usage status of the gas, and the linkage controller 111 controls the shut-off valve 113 to cut off the gas.

[0053] As a preferred embodiment of the above, in step 2, the contents monitored by the AI ​​monitor 10 include the gas source state, the flame state, the human behavior state, and the stove state;

[0054] As for the monitoring content, specifically, before the AI ​​monitor 10 is officially put into use, the initial settings are first performed, including the settings of initial data such as gas source, hose, stove, division of flame position, flame size, etc.; during use, the general conventional monitoring of the gas source status is to use pressure gauges, flow meters, etc. to detect gas pressure, flow, etc., but it cannot effectively supervise defects such as gas source pipelines. Therefore, the gas source status monitored by the AI ​​monitor 10 is mainly to monitor large-scale leaks between pipelines or connecting valves. This kind of leakage will produce a large amount of white mist at the ejection position when high-pressure gas is ejected quickly, which can be identified by the AI ​​monitor 10. The reason for designing the AI ​​monitor 10 to monitor large-scale gas leaks is mainly because when a large-scale leak occurs, people are in a state of tension and fear, and it is difficult to make correct judgments and correct handling of emergency situations. Possible defects can be compensated by automatic identification.

[0055] The flame state is mainly calculated by capturing the flame and calculating the flame area, color, etc.

[0056] The human behavior status mainly monitors whether there is human operation, human location, movement speed, etc.

[0057] The stove status is mainly to detect whether the stove is dry burning or unattended;

[0058] The detection content of the above AI monitor 10 mainly relies on image recognition and image detection. At present, there are monitors in the market that can integrate the above technologies, which belong to the existing technology. The problem of how to detect and identify will not be described here.

[0059] In the control system of the AI ​​monitor 10, by analyzing the detection content, the safety status of the monitoring content is represented as: S gas source, S flame, S behavior, S stove;

[0060] The safety status evaluation criteria for the detection content are as follows:

[0061] The safety status evaluation of the gas source not only includes the status between the pipeline and the connecting valve body monitored by the AI ​​monitor 10, but also includes data such as gas pressure and flow detected by the pressure gauge and flow meter. When the pressure and flow data are stably maintained within a constant range and the AI ​​monitor 10 does not detect a large-scale leakage, the status is safe and the value is 1; when the pressure and flow data are not within the constant range and there is a switch, the AI ​​monitor 10 does not detect a large-scale leakage, which means that there is a small-scale leakage in the gas source, and the status is judged to be unsafe and the value is 0.5. When the AI ​​monitor 10 detects a large-scale leakage, it is judged to be extremely unsafe regardless of the pressure and flow data, and the value is 0.

[0062] The safety status evaluation of the flame mainly includes the size range of the flame, which is specifically based on the proportion of flame pixels detected by the AI ​​monitor 10. By setting a safe pixel range as the safety status evaluation standard, when the flame pixels are within the standard range, it is judged to be safe and the value is 1; when the flame pixels exceed 30% of the safe pixels, it is judged to be unsafe and the value is 0.5; when it exceeds 50%, it is judged to be extremely unsafe and the value is 0.

[0063] The safety status evaluation of human behavior is mainly based on whether the person is in the correct position and whether the activity is normal (non-fast). If so, it is judged as safe and the value is 1. Otherwise, it is judged as unsafe and the value is 0.

[0064] The safety status evaluation of the stove is mainly to determine whether there is dry burning and whether there is no one to manage it. If so, it is judged as unsafe and the value is 0. If not, it is judged as safe and the value is 1.

[0065] Therefore, for the safety status of the entire system S = (S 气源 )∪(S火焰 )∪(S 行为 )∪(S 灶台 ); that is, only when all the detection contents are judged to be safe, the safety state S of the entire system is safe, and the gas supply is carried out normally;

[0066] Furthermore, since different monitoring contents have different effects on the safety status of the entire system, and the processing operations performed under different safety statuses are also different, the safety score (F) of the safety status S of the entire system is calculated according to different weights (ω) based on the impact of different monitoring contents on the entire system. The higher the score, the better the safety.

[0067] That is: F = ω1 × f (S 气源 )+ω2×f(S 火焰 )+ω3×f(S 行为 )+ω4×f(S 灶台 );

[0068] Among them, f(S i ) represents the value of the safety state corresponding to the gas source state, flame state, human behavior state, and stove state, i represents the four states of gas source state, flame state, human behavior state, and stove state, ω1=ω2=0.3, ω3=ω4=0.2;

[0069] In order to further reflect the impact of the detection content on the security of the entire system, the change rate (x) is introduced to evaluate the impact of changes in detection content on security;

[0070]

[0071] In the formula, Indicates the rate of change of the detection content over time. For the four detection contents of the AI ​​monitor 10, the main 气源 and S 火焰 The change of is related to time, so the change rate x is only for the detection content of gas source and flame;

[0072] For the gas source status, the degree of change over time is mainly determined by the detected pressure, flow and other data. For the flame status, the degree of change over time is mainly determined by the flame size ratio and other data.

[0073] The absolute value of the change rate x is [0, 1]. In this embodiment, when |x| is too small, it is directly determined that the state of the gas source and the flame is stable. The minimum value of |x| can be set according to actual conditions. This is mainly because the gas source and the flame state will have certain changes during normal use, but they are not enough to affect the safety of the entire system and can be ignored.

[0074] Therefore, the safety score of the entire system safety status can be expressed as:

[0075]

[0076] Where λ is a regulation parameter used to adjust the influence of the change rate on the safety score. When i is the human behavior state content and the stove state content, λ is 0, indicating that it is irrelevant to the change rate, and the value range of λ is [0, 1], 0 means no correlation, and 1 means extremely correlated;

[0077] Therefore, the safety score calculated according to the above formula can effectively take into account the impact of different monitoring contents on the installation status. At the same time, the operation methods of the gas source status and flame status under different safety conditions, as well as the correlation with time changes, can achieve more accurate supervision.

[0078] According to the calculated safety score, different treatment methods are confirmed by setting corresponding levels, specifically, setting safety thresholds, i.e., T1, T2, 0<T1<T2<1; the values ​​of T1 and T2 are adjusted according to the specific situation, and the treatment method is confirmed according to the following levels:

[0079]

[0080] As a preferred mode of the above embodiment, in step 3, during the self-check process, the user client 14 generates a self-check QR code, and the user first scans the QR code through the AI ​​monitor 10 to enter the self-check system, and then the user takes photos of various parts in the linkage control system 11, and the AI ​​monitor 10 takes photos to detect the artificial behavior state;

[0081] During the self-inspection process, each part of the linkage control system 11 is photographed manually. The contents of the manual photos include the quality of the connected pipes, the tightness of the joints, and the service life of the equipment (nameplate information). For example, for hoses, the contents include the appearance of the hoses, the certificate of use, etc.; for gas stoves, the contents mainly include the appearance, certificate of use, nameplate, manufacturing information, and the use status of the flameout protection device; for gas cylinders, the contents mainly include regular inspection information, filling information, manufacturing information, and whether the decompressor and gas alarm are qualified; for gas pipelines, the contents mainly include valves, route layout, use status, appearance, etc. of combustible gas alarms, and inspections are carried out according to actual conditions; the photos taken manually are divided into three different distances: far, medium, and near. When taking photos for self-inspection, they need to be monitored by the AI ​​monitor 10 without any obstruction, otherwise the self-inspection is considered unqualified. The AI ​​monitor 10 detects the manual behavior state (generally automatically saves the video during the detection), and the monitored behavior state mainly monitors the behavior state of the photos taken during the manual self-inspection to determine whether there is any fraud during the manual self-inspection;

[0082] By reading the data uploaded in the user client 14 and the AI ​​monitor 10, it is analyzed whether the uploaded self-inspection photos correspond to the artificial behavior status.

[0083] In the self-check program, you can set self-check 1-3 times a month, the time of each self-check is random, and if the self-check process is carried out 36 hours after each self-check instruction is issued, it is considered that no self-check is performed.

[0084] Specifically, the supervisor reads the data uploaded in the database 12 through the supervisory user client 13, analyzes whether the uploaded self-inspection photo corresponds to the manual behavior state, and compares whether the shooting time of the uploaded self-inspection photo corresponds to the shooting time of the self-inspection photo monitored by the database 12. The monitoring module performs image analysis on the image data of the detected manual behavior state and the manually shot photo data. When the time corresponds, if the similarity of the image analysis reaches more than 60%, it is considered that the self-inspection photo corresponds to the manual behavior state, thereby judging that the self-inspection photo is authentic, indicating that the self-inspection requirements are met. The purpose of this setting is to prevent the falsification of selfie photos during the self-inspection process.

[0085] As a preferred embodiment of the above embodiment, when the self-check photo and the manual behavior state correspond to each other, it is determined that the self-check requirement is completed;

[0086] When the self-inspection photo is inconsistent with the manual behavior state, the self-inspection is determined to be unqualified, and the unqualified instruction is transmitted to the AI ​​monitor 10 through the control system of the AI ​​monitor 10, which is specifically issued by the supervisor after logging into the control system of the AI ​​monitor 10. At the same time, the AI ​​monitor 10 continues to send the instruction requiring self-inspection to the user client 14 to request to continue self-inspection, and the AI ​​monitor 10 transmits the signal to the linkage control system 11, and the linkage control system 11 performs gas cutting processing until the self-inspection requirements are completed.

[0087] It should be noted that, in this article, the terms include, contain or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. Specific examples are used in this article to illustrate the principle and implementation of the technical solution of the present invention. The above examples are only used to help understand the method of the present invention and its core idea. The above are only preferred implementations of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, for ordinary technicians in this technical field, without departing from the principle of the present invention, several improvements, modifications or changes can be made, and the above technical features can also be combined in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the concept and technical solution of the invention to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. A gas usage monitoring and management system, It is characterized in that It comprises an AI monitor (10) for monitoring the gas usage status, the AI ​​monitor (10) is communicatively connected to a linkage control system (11), and the linkage control system (11) is used to control the gas on and off and monitor gas leakage; It also includes a supervisory user client (13) and a database (12), wherein the database (12) is used to store monitoring and analysis data in the AI ​​monitor (10) so as to facilitate parsing and calling by the supervisory user client (13); It also includes a user client (14), which communicates with the AI ​​monitor (10) and is used for self-checking the linkage control system (11).

2. A gas usage monitoring and management system according to claim 1, It is characterized in that The linkage control system (11) comprises a linkage controller (111), and the linkage controller (111) is respectively connected to an alarm (112) and a cut-off valve (113) by signals; The linkage control system (11) also includes an air source (114) and a stove (115), and the air source (114) and the stove (115) are respectively connected to the cut-off valve (113) through a hose.

3. A method for monitoring and managing gas usage, It is characterized in that Using the system as claimed in claim 2, comprising the following steps: Step 1: Control to turn on the linkage control system (11), and when the AI ​​monitor (10) self-checks and is in normal operation, the linkage control system (11) starts to supply gas; Step 2: During the use of gas, when the linkage control system (11) is turned on, a use file is automatically created, and the information monitored and communicated by the AI ​​monitor (10) is stored in the use file, and continuously uploaded to the database (12) in a fixed format, and the supervisory user client (13) calls the uploaded file through the parsing software; Step 3: The AI ​​monitor (10) sends a self-check instruction to the user client (14), and after manually taking a photo of the linkage control system (11) for self-check, the photo is uploaded through the user client (14) and packaged together with the monitoring information of the AI ​​monitor (10) and uploaded to the database (12).

4. A method for monitoring and managing gas usage according to claim 3, It is characterized in that After the linkage control system (11) starts supplying gas, the alarm (112) continuously monitors the gas leakage concentration and transmits the signal to the linkage controller (111) for processing; When the gas leakage concentration exceeds the standard, the linkage controller (111) controls the shut-off valve (113) to close and cut off the gas supply, and transmits the gas leakage information to the AI ​​monitor (10) for recording, and then notifies the relevant maintenance personnel through the user client (14) for processing.

5. A gas usage monitoring and management method according to claim 3, It is characterized in that After the linkage control system (11) starts to supply gas, the linkage controller (111) and the AI ​​monitor (10) transmit signals to each other according to a set time period to confirm the normal working environment of the AI ​​monitor (10) and the linkage controller (111); When the AI ​​monitor (10) fails to receive a signal from the linkage controller (111) within a plurality of time periods, the AI ​​monitor (10) transmits a maintenance signal to the user client (14) to notify the user to perform maintenance on the linkage control system (11); When the linkage controller (111) is unable to receive a signal from the AI ​​monitor (10) within a plurality of time periods, the linkage controller (111) controls the shut-off valve (113) to cut off the gas.

6. A method for monitoring and managing gas usage according to claim 3, It is characterized in that In step 2, the AI ​​monitor (10) monitors the gas source status, flame status, human behavior status, and stove status; And the control system of the AI ​​monitor (10) analyzes the detection content and expresses the safety status of the monitoring content as follows: S 气源 , S 火焰 , S 行为 , S 灶台 ; Therefore, for the safety status of the entire system S = (S 气源 )∪(S 火焰 )∪(S 行为 )∪(S 灶台 ); When S is safe, gas supply is carried out normally.

7. A method for monitoring and managing gas usage according to claim 6, It is characterized in that The safety score of the entire system safety status S is calculated according to different weights, and the safety score F is calculated. According to the calculated safety score F, the safety threshold of the corresponding graded processing method is established, and the safety score F is compared with the safety threshold to confirm the corresponding safety level and the corresponding processing method.

8. A method for monitoring and managing gas usage according to claim 7, It is characterized in that The safety threshold value determined according to different levels is T 1 , T 2 , and 0<T 1 <T 2 <1; The levels and treatments of confirmation are as follows:

9. A gas usage monitoring and management method according to claim 3, It is characterized in that In step 3, during the self-checking process, the user client (14) generates a self-checking QR code, and the user first scans the QR code through the AI ​​monitor (10) to enter the self-checking system, and then the user takes photos of various parts in the linkage control system (11), and the AI ​​monitor (10) takes photos to detect the artificial behavior state; By reading the data uploaded by the user client (14) and the AI ​​monitor (10), it is analyzed whether the uploaded self-inspection photos correspond to the artificial behavior state.

10. A gas usage monitoring and management method according to claim 9, It is characterized in that When the self-inspection photo and the manual behavior status correspond to each other, it is determined that the self-inspection requirement is completed; When the self-inspection photo is inconsistent with the manual behavior state, the self-inspection is determined to be unqualified, and a command indicating unqualified is transmitted to the AI ​​monitor (10) through the control system of the AI ​​monitor (10). At the same time, the AI ​​monitor (10) continues to send a command requiring self-inspection to the user client (14) to request continued self-inspection, and the AI ​​monitor (10) transmits a signal to the linkage control system (11), and the linkage control system (11) performs a gas-cutting process until the self-inspection requirement is completed.

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