Community gas system management method and system based on gas safety

Abstract

The invention discloses a community fuel gas system management method and system based on fuel gas safety, and relates to the technical field of fuel gas system management.The method comprises the following steps that basic data of an old community fuel gas system are collected, field inspection is conducted on fuel gas pipelines, valves and combustion appliances in a community, and current situation data are recorded; risk assessment is carried out based on the on-site inspection result and basic data of the gas system, and potential safety hazards and weak links are identified; and potential safety hazards and weak links are identified according to risk assessment. Sensors are installed on gas pipelines and key equipment, key data of pressure, flow and leakage detection are collected and processed in real time, early warning of different levels is triggered once abnormal data are monitored, a corresponding early warning mechanism is generated, and therefore the safety monitoring level of a gas system is improved, and the safety of the gas system is guaranteed. Potential safety hazards can be found and early warned in time, and accidents are effectively avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of gas system management, and in particular to a community gas system management method and system based on gas safety. Background Art

[0002] As the main fuel in cities, gas has been widely used in residents' lives, commercial activities and industrial production. Its convenience, high efficiency and environmental protection make gas one of the indispensable energy sources in modern society. However, with the popularization of gas use, its safety issues have become increasingly prominent. In recent years, gas safety accidents have occurred frequently, including leaks and explosions, which have not only caused huge economic losses, but also posed a serious threat to the lives and safety of the people. Therefore, strengthening gas safety management and preventing and reducing the occurrence of gas safety accidents have become urgent needs of community management.

[0003] In the existing technology, the gas system in old communities was built earlier, and is large in scale and complex in situation. Therefore, the safety assessment cycle is long and the management is difficult. In addition, there are many safety hazards in the gas system in old communities, which further increases the difficulty of managing the community gas system. Therefore, how to improve the safety management process of the gas system in old communities is the problem we need to solve. To this end, a community gas system management method and system based on gas safety are proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a community gas system management method and system based on gas safety to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] In a first aspect, a community gas system management method based on gas safety comprises the following steps:

[0007] Step 1: Collect basic information about the gas system in old residential areas, conduct on-site inspections of gas pipelines, valves, and combustion appliances in the residential areas, and record current status data;

[0008] Step 2: Conduct risk assessment based on on-site inspection results and basic information of the gas system to identify potential safety hazards and weak links;

[0009] Step 3: Based on the potential safety hazards and weak links identified by the risk assessment, deploy gas leak detectors, pressure, temperature and flow sensors to monitor the operating status of the gas system and collect real-time monitoring data of the gas system;

[0010] Step 4: Establish a data analysis platform to centrally process and analyze the collected gas system monitoring data and identify abnormal situations;

[0011] Step 5: According to the data analysis results, set different warning levels, formulate inspection and maintenance plans corresponding to the warning levels, and divide the corresponding warning thresholds. When the data is abnormal, the warning mechanism is automatically triggered and the inspection and management tasks are performed according to the plan.

[0012] The further improvement of the technical solution of the present invention is that in step 1, the process of collecting basic information and status data of the gas system in the old residential area is as follows:

[0013] Step 101, identify the components of the gas system to be inspected, including pipelines, valves, and combustion appliances, and obtain basic information of the gas system, including a gas pipeline layout diagram, user information, and historical maintenance records. The gas pipeline includes a main pipeline, a branch pipeline, and a connecting pipeline; the valve includes a main valve, a branch valve, and an emergency shut-off valve; and the combustion appliances include a gas stove and a gas water heater;

[0014] Step 102, the on-site inspection of the gas system is comprehensively implemented through appearance inspection, function test, leakage detection and combustion efficiency inspection. Among them, the appearance inspection is carried out by checking the appearance of the gas pipeline, valve and combustion appliance, recording rust, cracks and deformation problems, the function test is carried out by testing the switch function of the valve to ensure normal operation, the leakage detection is carried out by using a leakage detection instrument to check whether there is gas leakage at the pipeline connection and valve, and the combustion efficiency inspection is carried out by evaluating the combustion efficiency and emission of the combustion appliance;

[0015] Step 103, take photos of key parts of gas pipelines, valves, and combustion appliances for subsequent analysis and comparison, and describe the problems found during the inspection in writing, including the location, nature, and severity of the problems, and use a standardized inspection form to record the inspection results;

[0016] Step 104, all inspection data are summarized to form a complete inspection report, and the inspection report is classified and numbered and stored in a data warehouse in electronic form for subsequent review and use.

[0017] A further improvement of the technical solution of the present invention is that in step 2, the risk assessment process is:

[0018] Step 201, extracting an inspection report obtained based on the on-site inspection results and basic information of the gas system, and analyzing the risk factors existing in the gas system in the inspection report;

[0019] Step 202, classify and sort the identified risk factors, and analyze the accident types and consequences caused by each risk factor. The risk factors include pipeline corrosion, pipeline aging, improper pipeline installation, valve leakage, inflexible valve operation, improper valve selection, incomplete combustion, ignition failure, flameout protection failure, etc. Pipeline corrosion and aging can easily lead to gas leakage, which may cause fire and explosion, causing casualties and property losses. Valve leakage can also lead to gas leakage, and the risk is similar to pipeline leakage. Inflexible valve operation cannot cut off the gas in time in an emergency, increasing the risk of accidents. Incomplete combustion produces harmful gases such as carbon monoxide, which endangers human health. Long-term existence may also cause poisoning incidents. Ignition failure and flameout protection failure may both cause gas accumulation, increasing the risk of explosion;

[0020] Step 203, assigning quantitative indicators to each risk factor, including risk factor severity, occurrence frequency, and detection difficulty, scoring the risk to quantify the results of the risk assessment;

[0021] Step 204, based on the risk score of each risk factor, combined with the preset standard value and critical value of each risk factor, a comprehensive analysis is performed to obtain a risk assessment index;

[0022] Step 205, combining the risk assessment index, divides the risk into three levels, namely low risk level, medium risk level and high risk level, and sets corresponding risk thresholds to assess the risk status of the gas system and identify potential safety hazards and weak links.

[0023] A further improvement of the technical solution of the present invention is that the calculation formula of the risk assessment index is:

[0024]

[0025] Among them, RI is the risk assessment index, n is the number of risk factor categories, α i is the severity coefficient of the i-th risk factor, reflecting the severity of the impact of this factor on safety. i is the standard value of the i-th risk factor, β i is the critical value of the i-th risk factor, which is used to adjust the severity coefficient. γ is the adjustment coefficient, which is used to adjust the impact of frequency and detection difficulty on the total risk score. γ is a positive value. m is the number of different risk events that occurred. j is the standard value of the occurrence frequency of the jth risk event, D j is the standard value of the detection difficulty of the j-th risk event;

[0026] The plurality of risk levels correspond to the plurality of risk thresholds, wherein the risk thresholds include an upper threshold and a lower threshold;

[0027] The multiple risk levels and the multiple risk thresholds satisfy the following relationship:

[0028] Low risk level RI <RI zj , indicating that the risk is low, but still needs attention;

[0029] Medium risk level RI zj ≤RI <RI gj , indicating that the risk is moderate and appropriate measures need to be taken to control it;

[0030] High risk level RI ≥ RI gj , indicating that the risk is high and immediate measures need to be taken to correct it;

[0031] Among them, RI is the risk assessment index, RI zj The lower threshold corresponding to the medium risk level and the upper threshold corresponding to the low risk level, RI gj The lower threshold corresponding to the high risk level and the upper threshold corresponding to the medium risk level.

[0032] A further improvement of the technical solution of the present invention is that in step 3, the process of collecting the real-time monitoring data of the gas system is as follows:

[0033] Step 301, based on the risk assessment results, determine the gas system areas, pipelines, valves and combustion appliances that need to be monitored, and determine the monitoring parameters including gas leakage, pipeline pressure and flow;

[0034] Step 302: deploy gas leak detectors, pressure sensors, and flow sensors, and install them in high-risk areas of the gas system and key nodes of the gas pipeline, such as pipeline interfaces, near valves, around combustion appliances, etc., to ensure that the detectors can fully cover potential leak points, and install pressure and flow sensors on the gas pipeline, such as at pipeline branches, before and after pressure regulating stations, and at major user entrances, etc., to ensure that the pressure and flow changes of the pipeline can be monitored in real time;

[0035] Step 303, collecting raw data of pressure, flow and gas leakage of the gas system through sensors.

[0036] A further improvement of the technical solution of the present invention is that in step 4, the abnormal situation identification process is:

[0037] Step 401, build a data transmission network and a data analysis platform, transmit the collected raw data to the data analysis platform in real time, and pre-process the collected raw data. The pre-processing process includes data cleaning and data integration. The collected raw data is cleaned to remove noise, duplicate data or invalid data to ensure the quality and accuracy of the data, and the data from different sensors and devices are integrated to form a unified data format and structure to facilitate subsequent processing and analysis;

[0038] Step 402, collecting the preprocessed data, extracting abnormal warning related features from the preprocessed data, including pressure fluctuation range, flow change trend, and leakage detection value, to obtain a feature data set, and dividing the feature data set into a training set and a test set;

[0039] Step 403, using a machine learning algorithm combined with training set data to establish an anomaly detection model, and deploy and analyze the operating status of the gas system;

[0040] Step 404, based on the anomaly detection model and the analyzed operating status of the gas system, an anomaly warning index is obtained, and an abnormal situation in the gas system is identified according to the determined monitoring parameters.

[0041] A further improvement of the technical solution of the present invention is that the calculation formula of the abnormal warning index is:

[0042]

[0043] Among them, Y is the abnormal warning index, which is used to quantify the abnormality of the gas system, E is the number of monitoring parameters, R is the number of subsets of monitoring parameters selected for calculating the radical terms, and Me is the number of monitoring parameters selected for calculating the radical terms. l is the actual measured value of the kth monitoring parameter, SV l is the standard value of the kth monitoring parameter, that is, the expected value under normal operating conditions, MaxSV is the maximum value of all monitoring parameter standard values, MinSV is the minimum value of all monitoring parameter standard values, and the value range of Y is (0,1).

[0044] A further improvement of the technical solution of the present invention is that in step 5, the process of formulating the inspection and maintenance plan corresponding to the warning level is:

[0045] Step 501, analyzing historical data to determine the normal fluctuation range, abnormal trend and critical value of each monitoring parameter;

[0046] Step 502, based on the data analysis results and the abnormal warning index, different warning levels are set, namely, the first warning level, the second warning level, and the third warning level, wherein the severity of the warning level increases from the first level to the third level;

[0047] Step 503, set a corresponding warning threshold for each warning level. When the monitoring data exceeds the threshold, trigger the corresponding level of warning, and formulate a detailed inspection and maintenance plan for different warning levels. The inspection and maintenance plan specifies the inspection content, inspection frequency, inspection personnel, and required tools and equipment;

[0048] Step 504, prioritize inspection tasks according to the urgency of the warning level to ensure rapid response and processing in emergency situations.

[0049] In a second aspect, a community gas system management system based on gas safety is used to implement a community gas system management method based on gas safety, including a gas safety supervision center, wherein the gas safety supervision center is communicatively connected to a safety management module, a data acquisition module, a data analysis module, an anomaly detection module, an early warning module, and an inspection and maintenance plan module, wherein electrical signals are connected between the modules;

[0050] The safety management module is used to provide full life cycle management functions for the gas system, including equipment inspection, maintenance, and management and control of gas system risks through investigation and evaluation to reduce the probability of accidents;

[0051] The data acquisition module is used to collect operating data of gas system components from various sensors and monitoring equipment in the gas system. The gas system components include gas pipelines, valves, and combustion appliances, so as to ensure that the operating status of the gas system can be monitored in real time and the monitoring data can be obtained;

[0052] The data analysis module is used to pre-process the collected data, further analyze and mine it, discover potential problems and hidden dangers, and provide support for early warning and decision-making;

[0053] The anomaly detection module monitors the gas system in real time based on the collected data and the established anomaly detection model, analyzes the operating status of the gas system, identifies anomalies, and issues warning information once an abnormality is found so that timely measures can be taken;

[0054] The warning module is used to trigger warnings of different levels based on the output of the anomaly detection model and the preset threshold, combined with the anomaly warning index, and promptly notify relevant personnel to take corresponding measures to prevent accidents;

[0055] The inspection and maintenance plan module is used to formulate and adjust inspection and maintenance plans according to different warning levels to ensure that the gas system is properly maintained and reduce the failure rate.

[0056] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0057] 1. The present invention provides a community gas system management method and system based on gas safety. By installing sensors on gas pipelines and key equipment, key data of pressure, flow and leakage detection are collected and processed in real time. Once abnormal data is monitored, different levels of warnings are triggered and corresponding warning mechanisms are generated, thereby improving the safety monitoring level of the gas system, timely discovering and warning of potential safety hazards, and effectively avoiding the occurrence of accidents.

[0058] 2. The present invention provides a community gas system management method and system based on gas safety. Gas leakage, pipeline pressure and flow data are collected by sensors installed in key areas, and sent to a data analysis platform in real time through a data transmission network. Data analysis is performed to identify abnormal patterns and achieve early risk warning. In addition, by setting different warning levels and automatically triggered warning mechanisms, the corresponding emergency response process is quickly initiated according to the abnormality of the monitoring data, the source of the problem is located, the risk level is assessed, and effective measures are taken to deal with it, thereby further improving the overall safety of the community gas system. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0060] Figure 1 is a flow chart of the method of the present invention;

[0061] Figure 2 is a risk assessment flow chart of the present invention;

[0062] Figure 3 is a flow chart for identifying abnormal situations of the present invention;

[0063] Figure 4 It is a module diagram of the present invention. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] Embodiment 1, as Figure 1-3 As shown, the present invention provides a community gas system management method based on gas safety, comprising the following steps:

[0066] Step 1: Collect basic information about the gas system in old residential areas, and conduct on-site inspections of gas pipelines, valves, and combustion appliances in the community, record current status data, and identify the components of the gas system to be inspected, including pipelines, valves, and combustion appliances. Obtain basic information about the gas system, including gas pipeline layout diagrams, user information, and historical maintenance records. Gas pipelines include main pipelines, branch pipelines, and connecting pipelines; valves include main valves, branch valves, and emergency shut-off valves; and combustion appliances include gas stoves and gas water heaters. On-site inspections of the gas system are carried out in four aspects: appearance inspection, functional testing, leak detection, and combustion efficiency inspection. Appearance inspections are carried out by inspecting the appearance of gas pipelines, valves, and combustion appliances, and recording Rust, cracks, deformation problems, functional testing by testing the opening and closing functions of the valves to ensure normal operation, leak detection by using leak detection instruments to check whether there is gas leakage at the pipeline joints and valves, combustion efficiency inspection by evaluating the combustion efficiency and emissions of the combustion appliances, taking photos and recording the key parts of the gas pipelines, valves, and combustion appliances for subsequent analysis and comparison, and at the same time, a written description of the problems found during the inspection, including the location, nature, and severity of the problems, using standardized inspection forms to record the inspection results, summarizing all inspection data to form a complete inspection report, and classifying and numbering the inspection reports, and storing them in electronic form in the data warehouse for subsequent reference and use;

[0067] Step 2: Conduct risk assessment based on the on-site inspection results and basic information of the gas system, identify potential safety hazards and weak links, extract the inspection report based on the on-site inspection results and basic information of the gas system, analyze the risk factors existing in the gas system in the inspection report, classify and organize the identified risk factors, and analyze the types and consequences of accidents caused by each risk factor. Risk factors include pipeline corrosion, pipeline aging, improper pipeline installation, valve leakage, inflexible valve operation, improper valve selection, incomplete combustion, ignition failure, flameout protection failure, etc. Pipeline corrosion and aging can easily lead to gas leakage, which may cause fires and explosions, resulting in casualties and property losses. Valve leakage can also lead to gas leakage, and the risk is similar to pipeline leakage. Inflexible valve operation is very important in emergencies. In the event of a fire, the gas cannot be cut off in time, increasing the risk of accidents. Incomplete combustion produces harmful gases such as carbon monoxide, which endangers human health. Long-term existence may also cause poisoning incidents. Ignition failure and flameout protection failure may lead to gas accumulation, increasing the risk of explosion. Quantitative indicators are assigned to each risk factor, including the severity of the risk factor, the frequency of occurrence, and the difficulty of detection. Risks are scored to quantify the results of risk assessment. Based on the risk score of each risk factor, combined with the preset standard value and critical value of each risk factor, a comprehensive analysis is conducted to obtain a risk assessment index. Combined with the risk assessment index, the risk is divided into three levels, namely low risk level, medium risk level and high risk level, and corresponding risk thresholds are set to assess the risk status of the gas system and identify potential safety hazards and weak links.

[0068] Furthermore, the calculation formula of the risk assessment index is:

[0069]

[0070] Among them, RI is the risk assessment index, n is the number of risk factor categories, α i is the severity coefficient of the i-th risk factor, reflecting the severity of the impact of this factor on safety. i is the standard value of the i-th risk factor, β i is the critical value of the i-th risk factor, which is used to adjust the severity coefficient. γ is the adjustment coefficient, which is used to adjust the impact of frequency and detection difficulty on the total risk score. γ is a positive value. m is the number of different risk events that occurred. j is the standard value of the occurrence frequency of the jth risk event, D j is the standard value of the detection difficulty of the j-th risk event. It should be noted that S i , O j , D j The value range is from 1 to 10, where 1 represents the lowest risk and 10 represents the highest risk. i , O j , Dj If the value of is higher, the RI value will also increase, indicating a higher risk level;

[0071] Furthermore, the multiple risk levels correspond to multiple risk thresholds, wherein the risk threshold includes an upper threshold and a lower threshold;

[0072] Multiple risk levels and multiple risk thresholds satisfy the following relationship:

[0073] Low risk level RI <RI zj , indicating that the risk is low, but still needs attention;

[0074] Medium risk level RI zj ≤RI <RI gj , indicating that the risk is moderate and appropriate measures need to be taken to control it;

[0075] High risk level RI ≥ RI gj , indicating that the risk is high and immediate measures need to be taken to correct it;

[0076] Among them, RI is the risk assessment index, RI zj The lower threshold corresponding to the medium risk level and the upper threshold corresponding to the low risk level, RI gj The lower threshold corresponding to the high risk level and the upper threshold corresponding to the medium risk level;

[0077] Step 3: Based on the potential safety hazards and weak links identified by the risk assessment, deploy gas leak detectors, pressure, temperature and flow sensors, monitor the operating status of the gas system, and collect real-time monitoring data of the gas system. According to the risk assessment results, determine the gas system areas, pipelines, valves and combustion appliances that need to be monitored, determine the monitoring parameters including gas leakage, pipeline pressure and flow, deploy gas leak detectors, pressure sensors and flow sensors, and install them in high-risk areas of the gas system and key nodes of the gas pipeline, such as pipeline interfaces, near valves, around combustion appliances, etc., to ensure that the detectors can fully cover potential leakage points, install pressure and flow sensors on gas pipelines, such as pipeline branches, before and after pressure regulating stations, and at the entrances of major users, to ensure that the pressure and flow changes of the pipelines can be monitored in real time, and collect the original data of the pressure, flow and gas leakage of the gas system through sensors;

[0078] Step 4: Establish a data analysis platform to centrally process and analyze the collected gas system monitoring data, identify abnormal situations, build a data transmission network and a data analysis platform, transmit the collected raw data to the data analysis platform in real time, and preprocess the collected raw data. The preprocessing process includes data cleaning and data integration. The collected raw data is cleaned to remove noise, duplicate data or invalid data to ensure the quality and accuracy of the data. The data from different sensors and devices are integrated to form a unified data format and structure for subsequent processing and analysis. The preprocessed data are collected and the abnormal warning related features are extracted from the preprocessed data, including the pressure fluctuation range, flow change trend, and leakage detection value to obtain a feature data set. The feature data set is divided into a training set and a test set. A neural network is used in combination with the training set data to establish an anomaly detection model, and the operation status of the gas system is deployed and analyzed. Based on the anomaly detection model and the analyzed operation status of the gas system, an abnormal warning index is obtained to identify abnormal situations in the gas system for the determined monitoring parameters.

[0079] Furthermore, the calculation formula of the abnormal warning index is:

[0080]

[0081] Among them, Y is the abnormal warning index, which is used to quantify the abnormality of the gas system, E is the number of monitoring parameters, R is the number of subsets of monitoring parameters selected for calculating the radical terms, and Me is the number of monitoring parameters selected for calculating the radical terms. k is the actual measured value of the kth monitoring parameter, SV k is the standard value of the kth monitoring parameter, that is, the expected value under normal operating conditions, MaxSV is the maximum value of all monitoring parameter standard values, MinSV is the minimum value of all monitoring parameter standard values, it should be noted that the value range of Y is (0,1), when the actual measured values ​​of all monitoring parameters are equal to their respective standard values, Y tends to 0, indicating that the system operates normally without abnormalities, when the deviation between the actual measured value and the standard value of the monitoring parameter increases, Y increases, indicating that the system may be abnormal, when the volatility of the monitoring parameter increases, that is, the square root term of the sum of squares is large, Y will increase, indicating the instability of the system state;

[0082] Step 5. According to the data analysis results, different warning levels are set, inspection and maintenance plans corresponding to the warning levels are formulated, and corresponding warning thresholds are divided. When the data is abnormal, the warning mechanism is automatically triggered, and the inspection and management tasks are performed according to the plan. The historical data is analyzed to determine the normal fluctuation range, abnormal trend and critical value of each monitoring parameter. Based on the data analysis results and the abnormal warning index, different warning levels are set, namely, the first warning level, the second warning level and the third warning level. Among them, the warning levels increase in severity from level one to level three. A corresponding warning threshold is set for each warning level. When the monitoring data exceeds the threshold, the corresponding level of warning is triggered, and detailed inspection and maintenance plans are formulated for different warning levels. The inspection and maintenance plans clearly define the inspection content, inspection frequency, inspection personnel, required tools and equipment, and prioritize the inspection tasks according to the urgency of the warning level to ensure rapid response and processing in emergency situations.

[0083] Embodiment 2, as Figure 4 As shown, on the basis of Example 1, the present invention further provides a community gas system management system based on gas safety, which is used to implement a community gas system management method based on gas safety, including a gas safety supervision center, the gas safety supervision center is communicatively connected with a safety management module, a data acquisition module, a data analysis module, an abnormality detection module, an early warning module and an inspection and maintenance plan module, wherein the modules are connected by electrical signals;

[0084] Safety management module is used to provide full life cycle management functions for the gas system, including equipment inspection and maintenance. Through investigation and evaluation, it manages and controls the risks of the gas system to reduce the probability of accidents.

[0085] The data acquisition module is used to collect the operating data of the gas system components from various sensors and monitoring devices in the gas system. The gas system components include gas pipelines, valves, and combustion appliances, so as to ensure that the operating status of the gas system can be monitored in real time and the monitoring data can be obtained;

[0086] Data analysis module, used to pre-process the collected data, further analyze and mine it, discover potential problems and hidden dangers, and provide support for early warning and decision-making;

[0087] The anomaly detection module monitors the gas system in real time based on the collected data and the established anomaly detection model, analyzes the operating status of the gas system, identifies anomalies, and issues warning information once an abnormal situation is found so that timely measures can be taken;

[0088] The early warning module is used to trigger different levels of early warnings based on the output of the anomaly detection model and the preset threshold, combined with the anomaly early warning index, and promptly notify relevant personnel to take corresponding measures to prevent accidents;

[0089] The inspection and maintenance plan module is used to formulate and adjust inspection and maintenance plans according to different warning levels to ensure that the gas system is properly maintained and reduce the failure rate.

[0090] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A community gas system management method based on gas safety, characterized by: The following steps are involved: Step 1: Collect basic information about the gas system in old residential areas, conduct on-site inspections of gas pipelines, valves, and combustion appliances in the residential areas, and record current status data; Step 2: Conduct risk assessment based on on-site inspection results and basic information of the gas system to identify potential safety hazards and weak links; Step 3: Based on the potential safety hazards and weak links identified by the risk assessment, deploy gas leak detectors, pressure, temperature and flow sensors to monitor the operating status of the gas system and collect real-time monitoring data of the gas system; Step 4: Establish a data analysis platform to centrally process and analyze the collected gas system monitoring data and identify abnormal situations; Step 5: According to the data analysis results, set different warning levels, formulate inspection and maintenance plans corresponding to the warning levels, and divide the corresponding warning thresholds. When the data is abnormal, the warning mechanism is automatically triggered and the inspection and management tasks are performed according to the plan.

2. A community gas system management method based on gas safety according to claim 1, characterized in that: In step 1, the process of collecting basic information and status data of the gas system in the old residential area is as follows: Step 101, identify the components of the gas system to be inspected, including pipelines, valves, and combustion appliances, and obtain basic information of the gas system, including a gas pipeline layout diagram, user information, and historical maintenance records. The gas pipeline includes a main pipeline, a branch pipeline, and a connecting pipeline; the valve includes a main valve, a branch valve, and an emergency shut-off valve; and the combustion appliances include a gas stove and a gas water heater; Step 102, the on-site inspection of the gas system is comprehensively implemented through appearance inspection, function test, leakage detection and combustion efficiency inspection. Among them, the appearance inspection is carried out by checking the appearance of the gas pipeline, valve and combustion appliance, recording rust, cracks and deformation problems, the function test is carried out by testing the switch function of the valve to ensure normal operation, the leakage detection is carried out by using a leakage detection instrument to check whether there is gas leakage at the pipeline connection and valve, and the combustion efficiency inspection is carried out by evaluating the combustion efficiency and emission of the combustion appliance; Step 103, take photos and record key parts of gas pipelines, valves, and combustion appliances, and describe problems found during the inspection, including the location, nature, and severity of the problems, and use a standardized inspection form to record the inspection results; Step 104, all inspection data are summarized to form a complete inspection report, and the inspection report is classified and numbered and stored in a data warehouse in electronic form.

3. A community gas system management method based on gas safety according to claim 2, characterized in that: In step 2, the risk assessment process is as follows: Step 201, extracting an inspection report obtained based on the on-site inspection results and basic information of the gas system, and analyzing the risk factors existing in the gas system in the inspection report; Step 202, classify and sort the identified risk factors, and analyze the accident type and consequences caused by each risk factor; Step 203, assigning quantitative indicators to each risk factor, including risk factor severity, occurrence frequency, and detection difficulty, and scoring the risk to quantify the results of the risk assessment; Step 204, based on the risk score of each risk factor, combined with the preset standard value and critical value of each risk factor, a comprehensive analysis is performed to obtain a risk assessment index; Step 205, combining the risk assessment index, divides the risk into three levels, namely low risk level, medium risk level and high risk level, and sets corresponding risk thresholds to assess the risk status of the gas system and identify potential safety hazards and weak links.

4. A community gas system management method based on gas safety according to claim 3, characterized in that: The calculation formula of the risk assessment index is: Among them, RI is the risk assessment index, n is the number of risk factor categories, α i is the severity coefficient of the i-th risk factor, reflecting the severity of the impact of this factor on safety. i is the standard value of the i-th risk factor, β i is the critical value of the i-th risk factor, which is used to adjust the severity coefficient. γ is the adjustment coefficient, which is used to adjust the impact of frequency and detection difficulty on the total risk score. γ is a positive value. m is the number of different risk events that occurred. j is the standard value of the occurrence frequency of the jth risk event, D j is the standard value of the detection difficulty of the j-th risk event; The plurality of risk levels correspond to the plurality of risk thresholds, wherein the risk thresholds include an upper threshold and a lower threshold; The multiple risk levels and the multiple risk thresholds satisfy the following relationship: Low risk level RI <RI zj ; Medium risk level RI zj ≤RI <RI gj ; High risk level RI ≥ RI gj ; Among them, RI is the risk assessment index, RI zj The lower threshold corresponding to the medium risk level and the upper threshold corresponding to the low risk level, RI gj The lower threshold corresponding to the high risk level and the upper threshold corresponding to the medium risk level.

5. A community gas system management method based on gas safety according to claim 4, characterized in that: In step 3, the process of collecting real-time monitoring data of the gas system is as follows: Step 301, based on the risk assessment results, determine the gas system areas, pipelines, valves and combustion appliances that need to be monitored, and determine the monitoring parameters including gas leakage, pipeline pressure and flow; Step 302, deploy gas leak detectors, pressure sensors, and flow sensors, and install them in high-risk areas of the gas system and key nodes of the gas pipeline; Step 303, collecting raw data of pressure, flow and gas leakage of the gas system through sensors.

6. A community gas system management method based on gas safety according to claim 5, characterized in that: In step 4, the abnormal situation identification process is as follows: Step 401, building a data transmission network and a data analysis platform, transmitting the collected raw data to the data analysis platform in real time, preprocessing the collected raw data, and integrating the data from different sensors and devices to form a unified data format and structure; Step 402, collecting the preprocessed data, extracting abnormal warning related features from the preprocessed data, including pressure fluctuation range, flow change trend, and leakage detection value, to obtain a feature data set, and dividing the feature data set into a training set and a test set; Step 403, using a machine learning algorithm combined with training set data to establish an anomaly detection model, and deploy and analyze the operating status of the gas system; Step 404, based on the anomaly detection model and the analyzed operating status of the gas system, an anomaly warning index is obtained, and an abnormal situation in the gas system is identified according to the determined monitoring parameters.

7. A community gas system management method based on gas safety according to claim 6, characterized in that: The calculation formula of the abnormal warning index is: Among them, Y is the abnormal warning index, which is used to quantify the abnormality of the gas system, E is the number of monitoring parameters, R is the number of subsets of monitoring parameters selected for calculating the radical terms, and Me is the number of monitoring parameters selected for calculating the radical terms. k is the actual measured value of the kth monitoring parameter, SV k is the standard value of the kth monitoring parameter, that is, the expected value under normal operating conditions, MaxSV is the maximum value of all monitoring parameter standard values, and MinSV is the minimum value of all monitoring parameter standard values.

8. A community gas system management method based on gas safety according to claim 7, characterized in that: In step 5, the process of formulating the inspection and maintenance plan corresponding to the warning level is as follows: Step 501, analyzing historical data to determine the normal fluctuation range, abnormal trend and critical value of each monitoring parameter; Step 502, based on the data analysis results and the abnormal warning index, different warning levels are set, namely, the first warning level, the second warning level, and the third warning level, wherein the severity of the warning level increases from the first level to the third level; Step 503, set a corresponding warning threshold for each warning level. When the monitoring data exceeds the threshold, trigger the corresponding level of warning, and formulate a detailed inspection and maintenance plan for different warning levels; Step 504, prioritize inspection tasks according to the urgency of the warning level to ensure rapid response and processing in emergency situations.

9. A community gas system management system based on gas safety, used to implement the community gas system management method based on gas safety as described in any one of claims 1 to 8, comprising a gas safety supervision center, characterized in that: The gas safety supervision center is connected to the safety management module, data acquisition module, data analysis module, abnormality detection module, early warning module and inspection and maintenance plan module, wherein the electrical signals between the modules are connected; The safety management module is used to provide full life cycle management functions for the gas system, including equipment inspection and maintenance, and manage and control the risks of the gas system through investigation and evaluation; The data acquisition module is used to collect operating data of gas system components from various sensors and monitoring equipment in the gas system, and the gas system components include gas pipelines, valves, and combustion appliances; The data analysis module is used to pre-process the collected data, further analyze and mine it, and discover potential problems and hidden dangers; The anomaly detection module monitors the gas system in real time, analyzes the operating status of the gas system, and identifies anomalies based on the collected data and the established anomaly detection model; The warning module is used to trigger warnings of different levels based on the output of the anomaly detection model and the preset threshold, combined with the anomaly warning index; The inspection and maintenance plan module is used to formulate and adjust inspection and maintenance plans according to different warning levels.

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