Smart gas emergency safety simulation method and Internet of Things system based on government supervision

Abstract

The present application provides a smart gas emergency safety simulation method and Internet of Things system based on government supervision. The method is executed based on the smart gas emergency safety simulation Internet of Things system, including: the gas company management platform predicts potential emergency hazards in multiple regulatory areas based on the gas supervision information obtained from multiple regulatory areas; based on the hidden danger feedback information corresponding to the potential emergency hidden dangers and the gas supervision information, the emergency safety simulation parameters corresponding to different regulatory areas are determined; and the emergency safety simulation parameters are sent to the gas user platform; based on the obtained simulation monitoring data, the emergency safety simulation results corresponding to the emergency safety simulation parameters are determined; the government supervision management platform determines the parameter optimization data of the early warning device based on the emergency safety simulation results and potential emergency hidden dangers, and sends it to the gas company corresponding to each regulatory area. This method can make the emergency safety simulation exercise process conform to the actual scenario and make the exercise effect more in line with actual needs.

Description

Technical Field

[0001] This specification relates to the field of emergency safety simulation, and in particular to a smart gas emergency safety simulation method and Internet of Things system based on government supervision. Background Art

[0002] In the daily management of gas operations, gas companies need to conduct emergency safety simulation drills regularly in order to improve emergency safety management systems and emergency response technologies. Gas companies often conduct emergency safety simulation drills in different regulatory areas based on pre-set plans, and formulate different emergency drill plans for different scenarios (for example, fire drills in residential areas and emergency drills at gas gate stations). However, pre-set plans often ignore the differences in potential hidden dangers between similar scenarios in different regulatory areas, as well as the different environments and layouts of the same type of gas ancillary facilities (such as gas pressure regulating stations) or the same type of gas-related companies in different regulatory areas, resulting in poor results in emergency safety simulation drills.

[0003] Therefore, we hope to provide a smart gas emergency safety simulation method and Internet of Things system based on government supervision, which can determine the parameters of the early warning device in a targeted manner for emergency safety simulation drills in different regulatory areas according to the gas supervision information of the regulatory areas, so that the emergency safety simulation drill process conforms to the actual scenario and the drill effect can better meet actual needs. Summary of the invention

[0004] One or more embodiments of this specification provide a smart gas emergency safety simulation method based on government supervision. The method is executed by a smart gas emergency safety simulation Internet of Things system based on government supervision, and the smart gas emergency safety simulation Internet of Things system includes a gas company management platform, a gas company service platform, a gas equipment object platform, a gas user platform and a government supervision management platform. The method includes: the gas company management platform obtains gas supervision information of multiple supervision areas through the gas equipment object platform; the gas company management platform predicts potential emergency hazards in multiple supervision areas based on the gas supervision information, and sends the potential emergency hazards to at least one gas user platform through the gas company service platform; the gas company management platform obtains hidden danger feedback information corresponding to different potential emergency hazards through the gas user platform; the gas company management platform determines the emergency safety simulation parameters corresponding to different supervision areas based on the hidden danger feedback information and gas supervision information, and the emergency safety simulation parameters include the arrangement parameters of the emergency safety simulation personnel in the supervision area and the operating parameters of the emergency safety simulation equipment; the gas company management platform sends the emergency safety simulation parameters to the gas users The gas user platform is used to instruct the gas user platform to adjust the operating parameters of the emergency safety simulation equipment, and to send emergency safety simulation notifications to the emergency safety simulation personnel through the emergency safety simulation equipment; the gas company management platform obtains the simulation monitoring data collected by the emergency safety simulation equipment during the emergency safety simulation process through the gas equipment object platform; the gas company management platform determines the emergency safety simulation results corresponding to the emergency safety simulation parameters based on the simulation monitoring data, and sends the emergency safety simulation results to the government supervision and management platform; wherein, the government supervision and management platform determines the parameter optimization data of the early warning device based on the emergency safety simulation results and potential emergency hazards, and sends it to the gas companies corresponding to each supervision area to instruct the gas companies to adjust the parameters of the early warning devices in each supervision area.

[0005] One of the embodiments of the present specification provides a smart gas emergency safety simulation Internet of Things system based on government supervision, including a gas company management platform, a gas company service platform, a gas equipment object platform, a gas user platform, a government supervision management platform, a government supervision object platform, a government supervision sensor network platform and a gas company sensor network platform, wherein the government supervision object platform includes the gas company management platform; the smart gas emergency safety simulation Internet of Things system based on government supervision is configured to execute the above-mentioned smart gas emergency safety simulation method based on government supervision.

[0006] One or more embodiments of the present specification provide a computer-readable storage medium, which stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes a smart gas emergency safety simulation method based on government supervision.

[0007] Through this smart gas emergency safety simulation method based on government supervision, it is possible to conduct emergency safety simulation drills in different regulatory areas according to the gas supervision information of the regulatory areas, and determine the parameters of the early warning device in a targeted manner, so that the emergency safety simulation drill process conforms to the actual scenario and the drill effect can better meet actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0009] Figure 1 It is a module diagram of a smart gas emergency safety simulation Internet of Things system based on government supervision as shown in some embodiments of this specification;

[0010] Figure 2 is an exemplary flow chart of a smart gas emergency safety simulation method based on government supervision according to some embodiments of this specification;

[0011] Figure 3 is an exemplary flow chart for determining emergency safety simulation parameters corresponding to different regulatory areas according to some embodiments of this specification;

[0012] Figure 4 is an exemplary flow chart for predicting potential emergency hazards in multiple regulatory areas according to some embodiments of this specification;

[0013] Figure 5 This is an exemplary flow chart for determining parameter optimization data for an early warning device according to some embodiments of this specification.

[0014] Explanation of the accompanying drawings: government regulatory management platform 110; government regulatory sensor network platform 120; government regulatory object platform 130; gas company sensor network platform 140; gas equipment object platform 150; gas company service platform 170; gas user platform 180; government regulatory comprehensive database 110-1; gas company management platform 130-1; gas regulatory information 410-1; external environment data 410-2; gas pipeline data 410-3; equipment installation data 410-4; potential hidden danger determination model 420; potential emergency hidden danger 430. DETAILED DESCRIPTION

[0015] Figure 1 It is a module diagram of a smart gas emergency safety simulation Internet of Things system based on government supervision according to some embodiments of this specification. It should be noted that the following embodiments are only used to explain this specification and do not constitute a limitation of this specification.

[0016] like Figure 1 As shown, the smart gas emergency safety simulation Internet of Things system 100 based on government supervision may include a government supervision management platform 110, a government supervision sensor network platform 120, a government supervision object platform 130, a gas company sensor network platform 140, a gas equipment object platform 150, a gas company service platform 170 and a gas user platform 180.

[0017] The government supervision and management platform 110 refers to a platform for government supervision and management.

[0018] In some embodiments, the government regulation management platform 110 may include a government regulation integrated database 110 - 1 , wherein the government regulation integrated database 110 - 1 refers to a database storing government regulation data.

[0019] In some embodiments, the government regulatory management platform 110 is also configured to determine parameter optimization data of the early warning device based on emergency safety simulation results and potential emergency hazards in multiple regulatory areas, and send it to the gas companies corresponding to each regulatory area to instruct the gas companies to adjust the parameters of the early warning devices in each regulatory area.

[0020] The government supervision sensor network platform 120 refers to a connection platform for realizing interaction between the government supervision management platform 110 and the government supervision object platform 130, and is configured as a communication network and a gateway.

[0021] In some embodiments, the government supervision sensor network platform 120 may interact with the government supervision integrated database 110 - 1 and the gas company management platform 130 - 1 . For example, the gas company management platform 130 - 1 may upload the emergency safety simulation results to the government supervision sensor network platform 120 .

[0022] The government regulatory object platform 130 may be a functional platform for sensing information generation and controlling information execution.

[0023] In some embodiments, the government supervision object platform 130 may exchange information with the government supervision sensor network platform 120 , the gas company sensor network platform 140 , and the gas company service platform 170 .

[0024] In some embodiments, the government regulatory object platform 130 may include a gas company management platform 130 - 1 .

[0025] The gas company management platform 130 - 1 may be a platform for sensing information generation and controlling information execution.

[0026] In some embodiments, the gas company management platform 130-1 is configured to execute steps 210-270 in the smart gas emergency safety simulation method based on government supervision, see Figure 2 Instructions in .

[0027] In some embodiments, the emergency safety simulation device is communicatively connected to the gas equipment object platform 150 .

[0028] The gas company sensor network platform 140 can be a connection platform for realizing interaction between the gas company management platform 130-1 and the gas equipment object platform 150, and is configured as a communication network and a gateway. For example, the gas company sensor network platform 140 can send the gas supervision information of multiple supervision areas obtained by the gas equipment object platform to the gas company management platform.

[0029] In some embodiments, the gas company sensor network platform 140 may be configured to interact with a gas equipment object platform and a gas company management platform.

[0030] The gas equipment object platform 150 is a functional platform that can sense, generate information and control the execution of information.

[0031] In some embodiments, the gas equipment object platform 150 is configured to obtain uploaded data from a plurality of gas auxiliary facilities and a gas monitoring device installed on each of the gas pipeline segments.

[0032] Gas ancillary facilities refer to the ancillary facilities of the gas pipeline, such as valves, etc.

[0033] In some embodiments, the gas auxiliary facilities may include pipeline regulating devices.

[0034] The pipeline control device refers to a device used to control the gas pressure, flux, etc. of the gas pipeline. For example, the pipeline control device may include at least one of a valve, a pressure regulator, and a gas detector.

[0035] Gas monitoring device refers to the equipment used to monitor gas data in gas pipelines.

[0036] The gas monitoring device may include at least one of a gas pressure monitoring device, a temperature monitoring device, a flow monitoring device, and the like.

[0037] The gas equipment object platform 150 is a platform for sensing and generating information related to emergency simulation components and controlling the functions of information execution.

[0038] In some embodiments, the gas equipment object platform 150 is configured to communicate with the emergency safety simulation device and upload status information of the emergency safety simulation device and simulation monitoring data collected by the emergency safety simulation device to the gas company management platform 130-1.

[0039] Emergency safety simulation equipment refers to the components used in the emergency safety simulation drill in the supervision area. Emergency safety simulation drills may include fire simulation drills in residential areas, emergency safety simulation drills at gas gate stations, etc. In some embodiments, the emergency safety simulation equipment may include at least one of an alarm device, a smoke generator, an emergency indicator device, a gas leak simulation device, a fire device, a prompt device, and a monitoring device.

[0040] In some embodiments, the emergency safety simulation equipment may be installed in relevant gas companies, gas ancillary facilities, and gas pipeline sections within the regulatory area.

[0041] The gas company service platform 170 refers to a platform for receiving and transmitting data and / or information.

[0042] In some embodiments, the gas company service platform 170 is configured to interact with the gas company management platform 130 - 1 and the gas user platform 180 for data exchange.

[0043] The gas user platform 180 refers to a platform for interacting with gas users.

[0044] In some embodiments, the gas user platform 180 is configured on multiple relevant gas companies and their corresponding emergency safety simulation devices, and is configured to receive potential emergency hazards and emergency safety simulation parameters sent by the gas company service platform 170.

[0045] In some embodiments, the gas user platform 180 may also be configured to obtain hidden danger feedback information of potential emergency hidden dangers, and upload the hidden danger feedback information to the gas company management platform 130-1. In some embodiments, the gas user platform 180 may also be configured to adjust the operating parameters of the emergency safety simulation device based on the emergency safety simulation parameters, and send an emergency safety simulation notification to the emergency safety simulation personnel through the emergency safety simulation device.

[0046] For more information about the contents of each platform in the smart gas emergency safety simulation IoT system 100 based on government supervision, please refer to this manual Figure 2-Figure 5 Related description in .

[0047] Figure 2 is an exemplary flow chart of a smart gas emergency safety simulation method based on government regulation according to some embodiments of this specification. In some embodiments, process 200 can be executed by a smart gas emergency safety simulation IoT system based on government regulation. Figure 2 As shown, process 200 includes the following steps 210 to 270.

[0048] Step 210: The gas company management platform obtains gas supervision information of multiple supervision areas through the gas equipment object platform.

[0049] For more information about the gas company management platform and gas equipment object platform, please refer to Figure 1 See the relevant instructions in .

[0050] The regulatory area refers to the gas regulatory area that the gas company is responsible for. The regulatory area can be designated by technical personnel according to actual needs.

[0051] Gas supervision information refers to various information obtained during the gas supervision process.

[0052] In some embodiments, the gas supervision information includes at least one of operating parameters of gas ancillary facilities, gas data, inspection and maintenance information, and status information of emergency safety simulation equipment.

[0053] For instructions on gas ancillary facilities, pipeline control devices and gas monitoring devices, please refer to Figure 1 Instructions in .

[0054] The operating parameters of gas ancillary facilities refer to parameters related to the operation of gas ancillary facilities, such as the monitoring frequency of gas ancillary facilities.

[0055] In some embodiments, the operating parameters of the gas facility may include operating parameters of a pipeline control device and / or monitoring parameters of a gas data monitoring device.

[0056] In some embodiments, the operating parameters of the pipeline control device may include at least one of the opening size of the valve, the pressure adjustment range of the pressure regulator, the monitoring frequency of the gas detector, etc.

[0057] In some embodiments, the monitoring parameters of the gas monitoring device may include the monitoring frequency of at least one of a gas pressure monitoring device, a temperature monitoring device, a flow monitoring device, and the like.

[0058] In some embodiments, the gas company management platform can obtain gas facility operating parameters through the gas equipment object platform.

[0059] Gas data refers to data related to the gas in the gas pipeline. Gas data may include the gas pressure value, temperature value, and gas flow value in the gas pipeline.

[0060] In some embodiments, the gas company management platform can obtain gas data through the gas equipment object platform.

[0061] Inspection and maintenance information refers to the inspection and maintenance data of the regulated area. For example, the inspection and maintenance information may include the maintenance record information of the gas pipeline in the regulated area.

[0062] In some embodiments, the gas company management platform may obtain inspection and maintenance information from the gas equipment object platform via the gas company sensor network platform.

[0063] For instructions on emergency safety simulation equipment, see Figure 1 See the relevant instructions in .

[0064] In some embodiments, the status information of the emergency safety simulation device may include whether the emergency safety simulation device is enabled, whether the emergency safety simulation device is enabled normally, and the current working parameters of the emergency safety simulation device.

[0065] The working parameters of the emergency safety simulation equipment at the current moment may include the volume of the alarm device at the current moment, the brightness of the emergency indicator device at the current moment, the monitoring clarity level of the monitoring device at the current moment, etc.

[0066] In some embodiments, the gas company management platform may obtain status information of the emergency safety simulation device from the gas equipment object platform via the gas company sensor network platform.

[0067] Step 220: The gas company management platform predicts potential emergency hazards in multiple regulatory areas based on the gas regulatory information, and sends the potential emergency hazards to at least one gas user platform through the gas company service platform.

[0068] For instructions on the gas company service platform and gas user platform, see Figure 1 Instructions in .

[0069] Potential emergency hazards refer to possible safety hazards.

[0070] In some embodiments, the potential emergency hazard may include a first potential emergency hazard and a second potential emergency hazard.

[0071] The first potential emergency hazard refers to the potential emergency hazard caused by the status information of the emergency safety simulation equipment or the long inspection and maintenance interval.

[0072] In some embodiments, the gas company management platform can determine the first potential emergency hazard by analyzing the inspection and maintenance information in the gas supervision information or the status information of the emergency safety simulation equipment.

[0073] For example, the gas company management platform analyzes the inspection and maintenance information in the gas supervision information and shows that a certain emergency safety simulation device has changed from a normally open state to an abnormally closed state, or determines through analyzing the status information of the gas valve that the time interval between the last inspection time of a certain gas valve and the present time point exceeds a preset time threshold, then the aforementioned emergency safety simulation device or gas valve is a first potential emergency hazard.

[0074] The preset time threshold refers to a critical value of the interval time, which can be preset by those skilled in the art based on experience.

[0075] The second potential emergency hazard refers to the potential emergency hazard obtained based on the analysis of gas facility operating parameters and gas data.

[0076] In some embodiments, the gas company management platform may determine the second potential emergency hazard using a preset analysis method based on the time series data of the gas facility operation parameters and the gas data. The preset analysis method may include a trend analysis method, etc.

[0077] The gas company management platform can use trend analysis methods to analyze the trend lines of the time series of gas facility operating parameters and / or gas data. If there are points on the trend line where sudden changes occur, it indicates that the gas facility has a second potential emergency hazard.

[0078] A time series is a sequence of multiple time points. The trend line of a time series gas facility operating parameter is a curve drawn by arranging multiple gas facility operating parameters in chronological order.

[0079] The trend line of time series gas data refers to another curve drawn by arranging multiple gas data in chronological order.

[0080] In some embodiments, the gas company management platform can also use Figure 4 Determine potential emergency hazards using the method shown in Figure 4 Instructions in .

[0081] In some embodiments, the gas company management platform can send the potential emergency hazards to at least one gas user platform through the gas company service platform based on the network. The gas user platform can send the potential emergency hazards to the corresponding gas company, and then the gas company can dispatch corresponding maintenance personnel to confirm whether the predicted potential emergency hazards exist on site, and rectify the potential emergency hazards that do exist.

[0082] Step 230: The gas company management platform obtains hidden danger feedback information corresponding to different potential emergency hidden dangers through the gas user platform.

[0083] Hidden danger feedback information refers to the information related to potential emergency hidden dangers that is fed back by the gas user platform to the gas company management platform.

[0084] For example, hidden danger feedback information may include whether the gas user platform agrees with the potential emergency hidden dangers determined by the gas company management platform, whether the potential emergency hidden dangers determined by the gas company management platform have been rectified, etc.

[0085] In some embodiments, the gas company management platform can obtain the hidden danger feedback information corresponding to different potential emergency hidden dangers from the relevant gas company through the gas user platform. The relevant gas company refers to the company responsible for supervising gas management in the area.

[0086] Step 240: The gas company management platform determines the emergency safety simulation parameters corresponding to different regulatory areas based on the hidden danger feedback information and gas regulatory information.

[0087] Emergency safety simulation parameters refer to parameters related to emergency safety simulation drills in the regulatory area.

[0088] In some embodiments, the emergency safety simulation parameters may include the scheduling parameters of emergency safety simulation personnel in the regulatory area and the operating parameters of the emergency safety simulation equipment.

[0089] Emergency safety simulation personnel refer to personnel who participate in emergency safety simulation drills in the supervision area, such as patrol personnel, maintenance personnel, etc.

[0090] In some embodiments, the arrangement parameters of the emergency safety simulation personnel may include whether the emergency safety simulation personnel participate in the emergency safety simulation drill in the supervision area, the number of emergency safety simulation personnel participating in the emergency safety simulation drill in the supervision area, the number of emergency safety simulation personnel assigned to each sub-area (or a certain position) in the supervision area, etc. A sub-area refers to a part of the supervision area.

[0091] The various sub-areas in the regulatory area can be divided in advance by technical personnel in this field based on experience. For example, an area where a gas ancillary facility is located is divided into a sub-area, a gas pipeline section is divided into a sub-area, etc.

[0092] In some embodiments, the gas company management platform can determine the number of sub-areas with potential emergency hazards based on hazard feedback information; and based on the number of sub-areas with potential emergency hazards and the total number of emergency safety simulation personnel in the regulatory area at the current moment, evenly distribute the number of emergency safety simulation personnel in each sub-area with potential emergency hazards.

[0093] The operating parameters of the emergency safety simulation equipment refer to the parameters related to the operation of the emergency safety simulation equipment. For example, the smoke concentration, opening time and closing time of the smoke generator. Another example is the sound intensity and opening and closing time of the alarm device.

[0094] In some embodiments, the operating parameters of the emergency safety simulation device may include the simulation alarm level and simulation alarm type of the emergency safety simulation device. The simulation alarm level refers to the alarm level used by the emergency safety simulation device during the emergency safety simulation drill. The simulation alarm type refers to the alarm type used by the emergency safety simulation device during the emergency safety simulation drill.

[0095] In some embodiments, the gas company management platform can calculate the mean operating parameters of historical emergency safety simulation equipment in each sub-area based on gas supervision information, and use the mean operating parameters of historical emergency safety simulation equipment in each sub-area as the operating parameters of the emergency safety simulation equipment in each sub-area at the current moment.

[0096] In some embodiments, the gas company management platform can also use Figure 3 The method shown determines the emergency safety simulation parameters corresponding to different regulatory areas. For details, see Figure 3 Instructions in .

[0097] Step 250, the gas company management platform sends the emergency safety simulation parameters to the gas user platform to instruct the gas user platform to adjust the operating parameters of the emergency safety simulation equipment, and send an emergency safety simulation notification to the emergency safety simulation personnel through the emergency safety simulation equipment.

[0098] In some embodiments, the gas company management platform may send the emergency safety simulation parameters to the gas user platform to instruct the gas user platform to adjust the values ​​of the operating parameters of the emergency safety simulation equipment to the corresponding values ​​in the emergency safety simulation parameters.

[0099] Emergency safety simulation notification refers to the notification that emergency safety simulation personnel need to participate in the emergency safety simulation. The emergency safety simulation notification may include voice notification or text notification that emergency safety simulation personnel need to participate in the emergency safety simulation drill, the location of the emergency safety simulation drill, and the position information of the emergency safety simulation drill.

[0100] In some embodiments, the gas company management platform may send an emergency safety simulation notification to the emergency safety simulation personnel through an emergency safety simulation device (eg, a prompt device near the emergency safety simulation personnel).

[0101] Step 260: The gas company management platform obtains the simulation monitoring data collected by the emergency safety simulation equipment during the emergency safety simulation process through the gas equipment object platform.

[0102] In some embodiments, the emergency safety simulation process may include a fire simulation drill process in a residential area, an emergency safety simulation drill process at a gas gate station, etc.

[0103] In some embodiments, the simulated monitoring data may include at least one of personnel evacuation, implementation of emergency measures and risk avoidance measures, smoke duration, etc.

[0104] The implementation of personnel evacuation refers to the implementation of personnel evacuation from the scene of an emergency (e.g., fire). The implementation of emergency measures refers to the implementation of a series of measures and actions taken in response to an emergency (e.g., fire). The implementation of risk avoidance measures refers to the implementation of measures to avoid danger. It can be understood that the better the implementation of personnel evacuation, emergency measures, and risk avoidance measures, the less impact the emergency will have on people, property, and the environment.

[0105] In some embodiments, the gas company management platform obtains the simulated monitoring data collected by the emergency safety simulation equipment (such as monitoring devices, smoke sensors, etc.) performing the emergency safety simulation process through the gas equipment object platform, or obtains the simulated monitoring data collected through the RFID electronic tags carried by personnel and emergency safety simulation equipment.

[0106] For example, the gas company management platform obtains the smoke duration collected by the smoke sensor during the emergency safety simulation process through the gas equipment object platform.

[0107] Step 270: The gas company management platform determines the emergency safety simulation results corresponding to the emergency safety simulation parameters based on the simulation monitoring data, and sends the emergency safety simulation results to the government supervision management platform.

[0108] In some embodiments, the simulated monitoring data may also include personnel response time, hidden danger investigation time, personnel evacuation time, and simulated emergency repair time. Personnel response time refers to the total time from receiving the emergency alarm to completing the fault investigation and scheduling personnel. Hidden danger investigation time refers to the total time from the occurrence of a fault to the investigation and discovery of the fault. Personnel evacuation time refers to the time point when the personnel evacuate. Simulated emergency repair time refers to the time point when the simulated emergency repair of the fault begins. For more information about simulated monitoring data, please see Figure 2 Description in step 260.

[0109] In some embodiments, the emergency safety simulation results may include at least one of the response time for troubleshooting, the response time for personnel evacuation, and the response time for early warning.

[0110] In some embodiments, since there may be multiple different related gas companies, multiple gas ancillary facilities and multiple gas pipeline segments within a regulatory area, the emergency safety simulation results may include emergency safety simulation results of at least one of the related gas companies, gas ancillary facilities and gas pipeline segments.

[0111] For instructions on related gas companies, please refer to the instructions for step 230. A gas pipeline segment refers to a section of a gas pipeline in a regulated area. In some embodiments, a gas company may divide the gas pipeline in the regulated area into multiple sections in advance based on actual needs to obtain multiple gas pipeline segments.

[0112] In some embodiments, the gas company management platform may determine the emergency safety simulation results corresponding to the emergency safety simulation parameters based on the simulated monitoring data.

[0113] In some embodiments, the gas company management platform may send the determined emergency safety simulation results to the government regulatory management platform via the government regulatory sensor network platform.

[0114] In some embodiments, the government regulatory management platform can determine the parameter optimization data of the early warning device based on the emergency safety simulation results and potential emergency hazards, and send it to the gas companies corresponding to each regulatory area to instruct the gas companies to adjust the parameters of the early warning devices in each regulatory area.

[0115] For a description of the government regulatory management platform, see Figure 1 See the relevant instructions in .

[0116] Early warning devices refer to various monitoring, notification, alarm or indication devices selected from gas auxiliary facilities and emergency safety simulation equipment. For example, early warning devices may include one or more of gas data monitoring devices, safety monitoring devices, alarm devices, emergency indication devices, etc. Safety monitoring devices can be used to monitor personnel safety. Safety monitoring devices may include monitoring devices, etc.

[0117] The parameter optimization data of the early warning device refers to the data used to optimize the parameters of the early warning device.

[0118] In some embodiments, the parameter optimization data of the early warning device may include adjusting the early warning level of the early warning device.

[0119] The warning level can be used to adjust the simulated alarm level of the corresponding warning device. The warning level is positively correlated with the simulated alarm level of the corresponding warning device. Adjusting the warning level of the warning device may include adjusting the working parameters of the warning device (such as monitoring frequency, working power, etc.).

[0120] In some embodiments, the parameter optimization data of the early warning device may also include adjusting the arrangement parameters of the emergency safety simulation personnel, the scope of the emergency safety simulation exercise, etc. The scope of the emergency safety simulation exercise refers to the area scope of the emergency safety simulation exercise. For example, the scope of the emergency safety simulation exercise may include one of sub-area 1, sub-area 1+sub-area 2, etc.

[0121] In some embodiments, the government regulatory management platform can determine the quality of the emergency safety simulation based on the emergency safety simulation results; determine the emergency safety simulation quality threshold corresponding to the potential emergency hidden dangers based on the potential emergency hidden dangers; and determine the parameter optimization data of the early warning device based on the emergency safety simulation quality threshold and the emergency safety simulation quality.

[0122] The quality of emergency safety simulation can reflect the quality of emergency safety simulation results in each sub-area of ​​the regulatory area. The quality of emergency safety simulation can be a number between 0 and 100. The smaller the number, the better the quality of emergency safety simulation.

[0123] In some embodiments, the gas company management platform can determine the emergency safety simulation quality of the sub-area based on the weighted sum of the response time for evacuation of personnel, the response time for troubleshooting, and the response time for early warning in the emergency safety simulation results of the sub-area.

[0124] As an example only, the emergency safety simulation quality of the sub-area can be calculated using the following first calculation formula:

[0125] Emergency safety simulation quality C=k1 t1+k2 t2+k3 t3, wherein k1, k2 and k3 are preset coefficients greater than 0 and less than 1, which are preset by technical personnel in this field based on experience, t1 represents the reaction time for troubleshooting, t2 represents the reaction time for personnel evacuation, and t3 represents the reaction time for early warning.

[0126] In some embodiments, the coefficients of the reaction time for troubleshooting, the reaction time for evacuating personnel, and the reaction time for early warning are respectively positively correlated to the importance that technicians in the field attach to the reaction time for troubleshooting, the reaction time for evacuating personnel, and the reaction time for early warning. The importance of each reaction time in the emergency safety simulation can be preset by technicians in the field based on experience.

[0127] The emergency safety simulation quality threshold refers to the critical value of the emergency safety simulation quality.

[0128] In some embodiments, the government regulatory management platform may determine the emergency safety simulation quality threshold corresponding to the existing potential emergency hazards through a first preset comparison table based on the potential emergency hazards.

[0129] The first preset comparison table includes a correspondence between reference potential emergency hazards and emergency safety simulation quality thresholds corresponding to the reference potential emergency hazards. The first preset comparison table can be constructed based on prior knowledge or historical data.

[0130] In some embodiments, those skilled in the art may preset the emergency safety simulation quality threshold corresponding to the reference potential emergency hazard based on the number of reference potential emergency hazards in the sub-region where the reference potential emergency hazard is located or the severity of the reference potential emergency hazard. For example, the more reference potential emergency hazards there are in the sub-region where the reference potential emergency hazard is located or the more severe the reference potential emergency hazard is, the lower the emergency safety simulation quality threshold corresponding to the reference potential emergency hazard is set.

[0131] Existing potential emergency hazards refer to potential emergency hazards that actually exist after the predicted potential emergency hazards are manually confirmed.

[0132] In some embodiments, the government supervision management platform may compare the emergency safety simulation quality of each sub-area of ​​the supervision area with the emergency safety simulation quality threshold to determine the parameter optimization data of the early warning device.

[0133] The number of increased warning levels of the early warning device may be positively correlated with the difference between the emergency safety simulation quality threshold and the emergency safety simulation quality. For example, if the difference between the emergency safety simulation quality threshold and the emergency safety simulation quality is 5, the warning level of the current early warning device will be increased by one level.

[0134] In some embodiments, improving the warning level of the warning device may include increasing the monitoring frequency of the gas data monitoring device, increasing the inspection frequency of the safety monitoring device (eg, the monitoring frequency of the gas detector), increasing the working power of the warning device, etc.

[0135] Increasing the working power of the early warning device may include increasing the sound intensity of the alarm device, the brightness of the emergency indicator device, etc. It is understandable that the lower the value of the emergency safety simulation quality corresponding to the sub-area, the slower the response of the sub-area when a fault occurs, and it is necessary to increase the monitoring intensity of the sub-area to avoid the situation where a fault cannot be discovered in time. Improving the monitoring intensity of the sub-area may include increasing the number of emergency safety simulation personnel in the sub-area, increasing the scope of the emergency safety simulation area, etc.

[0136] In some embodiments, the government regulatory management platform can also use Figure 5 The method shown in the figure determines the parameter optimization data of the early warning device. For details, see Figure 5 Instructions in .

[0137] In some embodiments, the government regulatory management platform can send the parameter optimization data of the determined early warning device to the gas companies corresponding to each regulatory area to instruct the gas companies to adjust the parameters of the early warning devices in each regulatory area to match the parameter optimization data of the determined early warning device.

[0138] In some embodiments of the present specification, the gas company management platform obtains gas regulatory information from different regulatory areas, determines whether there are potential emergency hazards, and in response to the existence of emergency hazards, sends it to the corresponding gas user platform for rectification, and collects hazard feedback information corresponding to the potential emergency hazards (such as rectification results) through the gas user platform. Then, based on the hazard feedback information and gas regulatory information, it determines the emergency safety simulation parameters of different regulatory areas, conducts emergency safety simulation drills, obtains emergency simulation drill results corresponding to the emergency safety simulation parameters, and uploads them to the government regulatory management platform. The government regulatory management platform adjusts and optimizes the parameters of the early warning devices in each regulatory area in a unified manner based on the emergency safety simulation drill results of multiple regulatory areas and combines potential gas hazards, thereby realizing emergency safety simulation drills for different regulatory areas and determining the parameters of the early warning devices in a targeted manner, so that the emergency safety simulation drill process conforms to the actual scenario and the drill effect better meets actual needs.

[0139] Figure 3 is an exemplary flow chart for determining emergency safety simulation parameters corresponding to different regulatory regions according to some embodiments of this specification. In some embodiments, process 300 can be executed by a gas company management platform of a smart gas emergency safety simulation IoT system. Figure 3 As shown, process 300 includes the following steps 310 to 370.

[0140] Step 310: The gas company management platform determines the potential risk scores of different gas regulatory areas based on potential emergency hazards, hazard feedback information, and gas regulatory information.

[0141] For information on potential emergency hazards, hazard feedback information, and gas supervision information, please refer to Figure 2 See the relevant instructions in .

[0142] The potential risk score refers to the score for potential emergency hazards. The potential risk score can be expressed as a number within 100. The larger the number, the higher the potential risk score.

[0143] In some embodiments, the gas company management platform can determine the target feature vector based on potential emergency hazards, hazard feedback information and gas supervision information; based on the target feature vector, determine the associated feature vector through the vector database; and determine the reference potential risk score corresponding to the associated feature vector as the potential risk score.

[0144] The vector database contains multiple reference feature vectors, each of which has a corresponding reference potential risk score. The reference feature vector is a feature vector constructed based on historical potential emergency hazards, historical hazard feedback information, and historical gas supervision information.

[0145] In some embodiments, the gas company management platform can determine a reference feature vector that meets a preset condition in a vector database based on the target feature vector, and determine the reference feature vector that meets the preset condition as an associated feature vector. In some embodiments, the preset condition may include that the vector distance from the target feature vector satisfies the preset condition, etc. The preset condition may be preset by a person skilled in the art based on experience, such as a distance less than a distance threshold.

[0146] In some embodiments, the gas company management platform may determine the reference potential risk score corresponding to the associated feature vector as the potential risk score.

[0147] Step 320: The gas company management platform determines the area to be simulated based on the potential risk score and the risk threshold.

[0148] The risk threshold refers to the critical value of the potential risk score. The risk threshold can be preset by those skilled in the art based on experience.

[0149] In some embodiments, the risk threshold may be determined relative to historical average failure frequencies across multiple regulatory regions.

[0150] The average historical failure frequency refers to the average number of historical failures in multiple regulatory areas.

[0151] In some embodiments, the gas company management platform may obtain historical failure frequencies of multiple regulatory areas from the gas equipment object platform through the gas company sensor network platform, and then calculate the average of the historical failure frequencies of the multiple regulatory areas as the historical failure average frequency.

[0152] In some embodiments, the gas company management platform may consider that when the historical average failure frequency in the regulated area is low, the gas operation in the area is relatively stable, and the gas company management platform may set the risk threshold higher; otherwise, it may set it lower. The specific high or low range of setting the risk threshold may be preset by those skilled in the art based on experience.

[0153] In some embodiments of the present specification, the accuracy of the preset risk threshold is improved by correlating the determination of the risk threshold with the historical average failure frequency of multiple regulatory regions.

[0154] The area to be simulated refers to the area where emergency safety simulation drills are conducted.

[0155] In some embodiments, the regions to be simulated may include high-risk regions and low-risk regions. High-risk regions refer to regulatory regions with risk scores greater than or equal to a risk threshold. Low-risk regions refer to regulatory regions with risk scores less than the risk threshold.

[0156] In some embodiments, the gas company management platform may compare the potential risk score with the risk threshold, determine the regulatory areas with risk scores greater than or equal to the risk threshold as high-risk areas, and determine the regulatory areas with risk scores less than the risk threshold as low-risk areas.

[0157] In some embodiments, in response to the evaluation score of the first candidate simulation parameter being greater than or equal to the score threshold, the gas company management platform determines the emergency safety simulation parameters corresponding to different gas regulatory areas using the following step 330. The score threshold refers to a critical value of the evaluation score, which can be preset by those skilled in the art based on experience.

[0158] Step 330: The gas company management platform determines the emergency safety simulation parameters corresponding to different gas regulatory areas based on the gas regulatory information, hidden danger feedback information, personnel information and the first candidate simulation parameters corresponding to the area to be simulated.

[0159] Personnel information may include the number of personnel, work information of each person, and the department to which each person belongs. Work information may include the name, function, and length of employment of the person.

[0160] In some embodiments, the gas company management platform can retrieve personnel information from a known database through the government supervision sensor network platform. The known database can be located in the memory of the gas company management platform or in a government supervision integrated database.

[0161] The first candidate simulation parameters refer to emergency safety simulation parameters determined based on a simulation parameter database.

[0162] In some embodiments, the gas company management platform may directly use at least one reference simulation parameter corresponding to a reference emergency characteristic map that has been used historically and stored in the simulation database as a first candidate simulation parameter.

[0163] The emergency characteristic map refers to a map constructed by the gas supervision information, hidden danger feedback information and personnel information corresponding to the area to be simulated.

[0164] In some embodiments, the emergent feature graph is a data structure consisting of nodes and edges, where the edges connect the nodes, and the nodes and edges may have attributes.

[0165] In some embodiments, a node of the emergency characteristic map may correspond to a sub-region of the area to be simulated. Those skilled in the art may artificially divide the area to be simulated in advance to obtain at least one sub-region. For example, an area where a gas auxiliary facility is located may be divided into a sub-region, a gas pipeline segment may be divided into a sub-region, etc.

[0166] In some embodiments, the types of nodes of the emergency feature map may include a first enterprise node, a first facility node, and a first pipeline node.

[0167] The first enterprise node may correspond to each relevant gas enterprise in the area to be simulated. The first enterprise node may not correspond to a sub-area. The first enterprise node attribute may reflect the personnel information of the corresponding relevant gas enterprise. For example, the first enterprise node attribute includes: the number of personnel, the work information of each personnel, the department to which each personnel belongs, etc.

[0168] The first facility node may correspond to the gas auxiliary facilities in each sub-region within the area to be simulated. The first facility node attributes may reflect the relevant characteristics of the gas auxiliary facilities in each sub-region. For example, the first facility node attributes include: operating parameters of the gas auxiliary facilities, feedback data of the sub-region corresponding to the facility node, inspection and maintenance data corresponding to the gas auxiliary facilities, importance of the sub-region corresponding to the facility node, etc.

[0169] The feedback data of the sub-area corresponding to the first facility node includes potential emergency hazards, hazard feedback information, and status information of emergency safety simulation equipment in the sub-area corresponding to the node. The importance of the sub-area corresponding to the first facility node can be preset by technicians in this field based on experience. For example, the importance of the preset valve is the highest among all facility nodes. For a description of the operating parameters, potential emergency hazards, hazard feedback information, and status information of emergency safety simulation equipment of gas auxiliary facilities, please refer to Figure 2 See the relevant instructions in .

[0170] The first pipeline node may correspond to a gas pipeline segment in each sub-region within the area to be simulated. The first pipeline node attribute may reflect the relevant characteristics of the gas pipeline segment in each sub-region. For example, the first pipeline node attribute includes: gas data, inspection and maintenance data of the gas pipeline segment corresponding to the first pipeline node, feedback data and importance of the sub-region corresponding to the first pipeline node, etc. The inspection and maintenance data may include the location, type, number of inspections and maintenance, etc.

[0171] In some embodiments, the gas company management platform can determine the importance of the gas pipeline segment corresponding to the first pipeline node based on the historical average maintenance frequency of the gas pipeline segment corresponding to the first pipeline node. For example, the greater the historical average maintenance frequency of the sub-area corresponding to the first pipeline node, the higher the importance of the gas pipeline segment corresponding to the first pipeline node.

[0172] The historical average maintenance frequency refers to the average value of the maintenance frequency of the sub-area corresponding to the pipeline node within the historical preset time period. The historical preset time period can be preset by those skilled in the art based on experience.

[0173] In some embodiments, the gas company management platform can obtain the number of inspections and the total usage time of the gas pipeline segment from the inspection and maintenance data of the gas pipeline segment corresponding to the first pipeline node from the gas equipment object platform through the gas company sensor network platform, and determine the historical average maintenance frequency as the ratio of the number of inspections and the total usage time of the gas pipeline segment.

[0174] In some embodiments, the edge types of the emergency feature map may include a first type of edge and a second type of edge. The first type of edge corresponds to a path with a physical connection between nodes. For example, the first type of edge may include an edge formed by a physical connection path between first facility nodes, etc. The second type of edge refers to an edge with a physical connection between an enterprise node and a facility node or a pipeline node within a preset range.

[0175] The preset range may be within a preset radius with the enterprise node as the center. The preset radius may be preset by a person skilled in the art based on experience. The edge attribute may reflect the relevant characteristics of the path corresponding to the physical connection. For example, the edge attributes of the first type of edge and the second type of edge include: the distance between nodes.

[0176] In some embodiments, the first type of edge may be a directed edge, and the second type of edge may be an undirected edge. The direction of the directed edge may be the gas flow direction.

[0177] The reference feature map is an emergency feature map constructed based on the historical gas supervision information, historical hidden danger feedback information and historical personnel information of the area to be simulated. The construction method of the reference feature map is the same as that of the aforementioned emergency feature map.

[0178] The simulation parameter database includes a plurality of reference characteristic maps, wherein each reference characteristic map contains at least one reference simulation parameter corresponding to a historical simulation region.

[0179] In some embodiments, at least one reference simulation parameter can be customized by a person skilled in the art based on the actual situation of the historical simulation area corresponding to the reference characteristic map.

[0180] In some embodiments, at least one reference simulation parameter may also be a historical emergency safety simulation parameter selected from a plurality of historical emergency safety simulation parameters corresponding to a reference characteristic map of a regulatory area, and the evaluation score of which satisfies a first preset condition (e.g., the evaluation score of the historical emergency safety simulation parameter satisfies a score threshold). The first preset condition may be that the evaluation score of the historical emergency safety simulation parameter is less than the score threshold. The score threshold may be preset by a person skilled in the art based on experience.

[0181] The evaluation score can reflect the degree of match between the emergency safety simulation parameters and the regulatory area. For example, the higher the evaluation score, the better the match between the emergency safety simulation parameters and the regulatory area. In some embodiments, the evaluation score can be represented by a number between 0 and 100, and the larger the number, the higher the evaluation score.

[0182] In some embodiments, the gas company management platform can adjust the warning level of the early warning device based on the emergency safety simulation results obtained by the historical emergency safety simulation parameters; monitor the number of missed judgments of the early warning device according to the adjusted warning level; and determine the evaluation score of the historical emergency safety simulation parameters based on the number of missed judgments of the early warning device, for example, the fewer the number of missed judgments, the higher the evaluation score of the historical emergency safety simulation parameters.

[0183] In some embodiments, the gas company management platform can construct an emergency characteristic map based on the gas supervision information, hidden danger feedback information and personnel information corresponding to the area to be simulated; based on the emergency characteristic map and the first candidate simulation parameters, determine the evaluation score of the first candidate simulation parameters through the simulation parameter evaluation model; and based on the evaluation score, determine the emergency safety simulation parameters corresponding to different gas supervision areas.

[0184] For instructions on constructing the emergency characteristic map and determining the first candidate simulation parameters, please refer to the above description.

[0185] In some embodiments, the simulation parameter evaluation model is a machine learning model. In some embodiments, the type of the simulation parameter evaluation model may include a graph neural network model (Graph Neural Networks, GNN).

[0186] In some embodiments, the simulation parameter evaluation model can be trained by a large number of first training samples with first training labels.

[0187] In some embodiments, each group of first training samples in the first training samples may include a historical sample emergency feature map and a historical sample emergency safety simulation parameter. In some embodiments, the first training samples may be acquired based on historical data.

[0188] In some embodiments, the first training label may be an evaluation score corresponding to the historical sample emergency safety simulation parameter. The gas company management platform may conduct simulation drills based on the historical sample emergency safety simulation parameters, obtain historical sample emergency safety simulation results, adjust the warning level of the early warning device, and then conduct simulation drills again. If the response speed of the early warning device is faster (for example, the average response time is faster) or the quality of the emergency safety simulation is higher when a fault actually occurs, the evaluation score of the corresponding historical emergency safety simulation parameter will be higher.

[0189] In some embodiments, the historical sample emergency feature map and the historical sample emergency safety simulation parameters in the first training sample with the first training label can be input into the initial simulation parameter evaluation model, and then the loss function is constructed through the prediction results of the first training label and the initial simulation parameter evaluation model. The parameters of the initial simulation parameter evaluation model are iteratively updated based on the loss function until the loss function converges, the number of iterations reaches a threshold, etc., the training is completed, and a trained simulation parameter evaluation model is obtained.

[0190] In some embodiments, in response to an evaluation score of at least one first candidate simulation parameter being greater than or equal to a score threshold, the gas company management platform may select the first candidate simulation parameter with the highest evaluation score as the emergency safety simulation parameter corresponding to the selected gas regulatory area.

[0191] In some embodiments, in response to the evaluation score of each of at least one first simulation parameter being less than a score threshold, the gas company management platform may adopt the following steps 340-370 to determine the emergency safety simulation parameters corresponding to different gas regulatory areas.

[0192] Step 340: The gas company management platform determines the value range of the emergency safety simulation parameters.

[0193] In some embodiments, the value range of the emergency safety simulation parameters can be preset by those skilled in the art based on experience.

[0194] In some embodiments, the gas company management platform can determine the value range of the emergency safety simulation parameter based on historical data. For example, the highest number of people assigned to a position in the historical data of sub-area 1 is used as the upper limit of the value range of the number of people for the position, and the lowest number of people assigned to the position is used as the lower limit of the value range of the number of people for the position.

[0195] Step 350: The gas company management platform generates at least one second candidate simulation parameter based on the value range.

[0196] The second candidate simulation parameter refers to an emergency safety simulation parameter that falls within the value range of the emergency safety simulation parameter.

[0197] In some embodiments, the gas company management platform may randomly select at least one second candidate simulation parameter within the value range of the emergency safety simulation parameter.

[0198] Step 360: The gas company management platform uses a simulation parameter evaluation model to determine an evaluation score of the second candidate simulation parameter based on the second candidate simulation parameter and the emergency feature map.

[0199] In some embodiments, the gas company management platform may input the second candidate simulation parameters and the emergency characteristic map of the regulatory area into the simulation parameter evaluation model to determine the evaluation score of the second candidate simulation parameters.

[0200] In some embodiments, the gas company management platform may store the evaluation score of the determined second candidate simulation parameter.

[0201] In step 370, the gas company management platform determines the selected emergency safety simulation parameter based on the evaluation score of the second candidate simulation parameter.

[0202] In some embodiments, the gas company management platform may repeat multiple rounds of the aforementioned steps 350-360, and after determining the evaluation score of a new second candidate simulation parameter in each round, compare the evaluation score of the new second candidate simulation parameter with the evaluation score of the second candidate simulation parameter determined in the previous round, retain the second candidate simulation parameter with a high evaluation score, and stop repeating the aforementioned steps 350-360 when a preset number of searches is reached or a second candidate simulation parameter whose evaluation score meets a preset condition (e.g., the evaluation score is greater than a score threshold) is found, and determine that the second candidate simulation parameter determined in the last round is the selected emergency safety simulation parameter.

[0203] In some embodiments of the present specification, the gas company management platform can retrieve and determine at least one first candidate simulation parameter in the simulation parameter database through the emergency characteristic map, and then determine the evaluation score of at least one first candidate simulation parameter through the simulation parameter evaluation model, screen out at least one first candidate simulation parameter with an evaluation score greater than or equal to the score threshold, and finally select the first candidate simulation parameter with the highest evaluation score as the emergency safety simulation parameter corresponding to the selected gas regulatory area, so as to automatically determine the optimal emergency safety simulation parameter.

[0204] In addition, when the simulation parameter database cannot screen out the first candidate simulation parameter with an evaluation score greater than or equal to the score threshold, the second candidate simulation parameter with an evaluation score greater than or equal to the score threshold can be selected based on the value range of the emergency safety simulation parameter as the emergency safety simulation parameter corresponding to the selected gas regulatory area, so as to further improve the accuracy of the determined emergency safety simulation parameters.

[0205] Figure 4 It is an exemplary schematic diagram of predicting potential emergency hazards in multiple regulatory areas according to some embodiments of this specification.

[0206] In some embodiments, the gas company management platform determines potential emergency hazards 430 in multiple regulatory areas through a potential hazard determination model 420 based on gas regulatory information 410-1, external environment data 410-2, gas pipeline data 410-3 and equipment installation data 410-4.

[0207] The external environment data 410 - 2 refers to information related to the external environment of the regulatory area.

[0208] In some embodiments, the external environment data 410 - 2 may include at least one of the meteorological data such as temperature, air pressure, humidity, etc. of the regulated area.

[0209] In some embodiments, the external environment data 410-2 can be represented by a time environment sequence. The time environment sequence refers to a sequence composed of meteorological data corresponding to multiple time points in the regulatory area. For example, the time environment sequence = (meteorological data at time c1, meteorological data at time c2...meteorological data at time cn), c1, c2, cn represent different continuous time points, and n is a positive integer.

[0210] In some embodiments, the gas pipeline data 410-3 may include at least one of the material, diameter, length, pipeline location, etc. of the gas pipeline. The pipeline location may be represented by a preset number. The preset number of the pipeline location may be preset by a person skilled in the art based on experience.

[0211] In some embodiments, the equipment installation data 410 - 4 may include at least one of the installation location, age, maintenance record, etc. of each gas equipment.

[0212] For more information on Gas Regulatory Information 410-1, see Figure 2 The relevant description in step 210.

[0213] In some embodiments, the potential hidden danger determination model 420 is a machine learning model. In some embodiments, the type of the potential hidden danger determination model may include a long short-term memory network model (Long Short-Term Memory, LSTM).

[0214] In some embodiments, the potential hidden danger determination model can be obtained by training a large number of second training samples and their corresponding second training labels.

[0215] In some embodiments, each group of second training samples in the second training samples includes historical sample gas supervision information, historical sample external environment data, historical sample gas pipeline data, and historical sample equipment installation data at a first time point. In some embodiments, the second training samples can be obtained based on historical data.

[0216] In some embodiments, the second label can be the location of the second training sample at the first time point where the failure / repair actually occurs at the second time point. In some embodiments, the training label can be obtained by manual annotation. The first time point is earlier than the second time point.

[0217] In some embodiments, the training process of the potential hazard determination model is similar to the training process of the simulation parameter evaluation model. Figure 3 Description of step 330.

[0218] In some embodiments, the gas company management platform can input the gas regulatory information, external environment data, gas pipeline data and equipment installation data of each regulatory area into the trained potential hidden danger determination model to obtain the potential emergency hidden dangers of each regulatory area in multiple regulatory areas.

[0219] In some embodiments of the present specification, the gas company management platform can quickly and accurately determine potential emergency hazards through a potential hazard determination model.

[0220] Figure 5 is an exemplary flow chart for determining parameter optimization data of an early warning device according to some embodiments of this specification. In some embodiments, process 500 may be executed by a government regulatory management platform of a smart gas emergency safety simulation Internet of Things system. Figure 5 As shown, process 500 includes the following steps 510 to 540.

[0221] Step 510: The government supervision and management platform determines the emergency safety simulation result sequence corresponding to the emergency safety simulation parameters based on the simulation monitoring data.

[0222] For a description of the simulated monitoring data and emergency safety simulation parameters, see Figure 2 See the relevant instructions in .

[0223] Emergency safety simulation result sequence refers to a sequence consisting of multiple emergency safety simulation results. For a description of emergency safety simulation results, see Figure 2 For example, the emergency safety simulation result sequence may be a sequence consisting of the response time for troubleshooting, the response time for personnel evacuation, and the response time for early warning.

[0224] In some embodiments, the emergency safety simulation result sequence may include an emergency safety simulation result sequence in each sub-area within the regulatory area.

[0225] The emergency safety simulation result sequence in the sub-area refers to a sequence composed of multiple emergency safety simulation results in the sub-area.

[0226] In some embodiments, the government regulatory management platform may determine multiple emergency safety simulation results corresponding to emergency safety simulation parameters based on simulation monitoring data, and determine an emergency safety simulation result sequence based on multiple emergency safety simulation results.

[0227] Step 520: The government supervision management platform determines the emergency safety simulation quality of each sub-area within the supervision area based on the emergency safety simulation result sequence.

[0228] In some embodiments, the government supervision management platform can determine the quality of emergency safety simulation in the supervision area based on the response time of personnel evacuation, fault detection and warning in the emergency safety simulation result sequence. For more information on emergency safety simulation quality and methods for determining emergency safety simulation quality, please refer to Figure 2 Description in step 270.

[0229] Step 530, the government supervision management platform constructs an early warning feature map based on the emergency safety simulation quality, potential emergency hazards and hazard feedback information of each sub-area in the supervision area.

[0230] For a description of potential emergency hazards and hazard feedback information, see Figure 2 See the relevant instructions in .

[0231] The early warning characteristic map refers to a map constructed by the emergency safety simulation quality, potential emergency hazards and hazard feedback information in the regulatory area.

[0232] In some embodiments, the warning feature graph is a data structure consisting of nodes and edges, where the edges connect the nodes, and the nodes and edges may have attributes.

[0233] In some embodiments, a node of the early warning characteristic map corresponds to a sub-region of the area to be simulated. The method for dividing the sub-regions is the same as the method for dividing the sub-regions of the emergency characteristic map, see Figure 3 Description of step 330.

[0234] In some embodiments, the types of nodes of the early warning feature map may include a first enterprise node, a second facility node, and a second pipeline node.

[0235] In some embodiments, the second facility node is similar to the first facility node in the emergency characteristic map. The attributes of the second facility node include all the attributes of the first facility node in the emergency characteristic map. The attributes of the second facility node also include the emergency safety simulation quality, the early warning device and its corresponding current working parameters of the sub-area corresponding to the second facility node.

[0236] In some embodiments, the second pipeline node is similar to the first pipeline node in the emergency characteristic map. The second pipeline node attributes include all the attributes of the first pipeline node in the emergency characteristic map. The second pipeline node attributes also include the early warning device of the sub-area corresponding to the second pipeline node and its corresponding current working parameters, emergency safety simulation quality, etc.

[0237] For a description of all the properties of the first enterprise node, the first facility node, and the first pipeline node in the emergency feature map, see Figure 3 Description of the emergency feature map in step 330.

[0238] In some embodiments, the edges of the warning feature graph are similar to the edges of the emergency feature graph, see Figure 3 Description of step 330.

[0239] Step 540: The government supervision and management platform determines the parameter optimization data of the early warning device by optimizing the parameter determination model based on the early warning feature map.

[0240] In some embodiments, the optimization parameter determination model is a machine learning model. In some embodiments, the type of the optimization parameter determination model may include a graph neural network model (Graph Neural Networks, GNN).

[0241] In some embodiments, the input of the optimization parameter determination model is the early warning feature map, and the output is the parameter optimization data of the early warning device corresponding to the node of the early warning feature map.

[0242] For a description of the early warning device and its parameter optimization data, see Figure 2 Relevant instructions in step 270.

[0243] In some embodiments, the optimization parameter determination model can be obtained through training based on training samples and their corresponding training labels.

[0244] In some embodiments, the training sample may include a sample early warning feature map, and the training label may be parameter optimization data of the early warning device corresponding to each node of the sample early warning feature map.

[0245] In some embodiments, the gas company management platform can construct a sample early warning feature map based on the emergency safety simulation quality, potential emergency hazards, and hazard feedback information of the historical sample supervision area. The emergency safety simulation quality, potential emergency hazards, and hazard feedback information of the historical sample supervision area can be obtained based on historical data.

[0246] In some embodiments, the gas company management platform can obtain training labels in the following manner: set multiple groups of parameter optimization data of early warning devices for training samples, and select the parameter optimization data of the early warning device with the highest actual adjustment score among the parameter optimization data as the training label.

[0247] The actual adjustment score can reflect whether the parameter optimization data has improved the quality of the emergency safety simulation. For example, the higher the actual adjustment score, the greater the improvement in the quality of the emergency safety simulation. For an explanation of the quality of the emergency safety simulation, see Figure 2 Description in step 270.

[0248] In some embodiments, the gas company management platform can determine the actual adjustment score by obtaining the difference in the emergency safety simulation quality corresponding to the emergency safety simulation result sequence before and after the parameter optimization data of the early warning device is adjusted during the actual emergency safety simulation drill. For example, if the emergency safety simulation quality corresponding to the emergency safety simulation result sequence after the parameter optimization data of the early warning device is adjusted increases more than the emergency safety simulation quality corresponding to the emergency safety simulation result sequence before the parameter optimization data of the early warning device is adjusted, the higher the actual adjustment score is.

[0249] In some embodiments, the government regulatory management platform may also perform a weighted summation calculation on the increase in the emergency safety simulation quality corresponding to the emergency safety simulation result sequence after the parameter optimization data of the early warning device is adjusted, based on the importance of the sub-areas within the area to be simulated, compared to the emergency safety simulation quality corresponding to the emergency safety simulation result sequence before the parameter optimization data of the early warning device was adjusted, to obtain an actual adjustment score.

[0250] As an example only, the actual adjustment score can be expressed by the following fourth formula:

[0251] Actual Adjusted Score = c1 Increased value of emergency safety simulation quality in sub-area 1 + c2 Added value of emergency safety simulation quality in sub-area 2......+cn The increase value of the emergency safety simulation quality of sub-area n, wherein n is any positive integer, c1, c2...cn are any numbers greater than 0 and less than 1, and are preset by those skilled in the art based on experience. In some embodiments, c1, c2...cn may be positively correlated to the importance of the sub-area. The importance of each sub-area may be preset in advance by those skilled in the art.

[0252] In some embodiments, during the training process of the optimization parameter determination model, the weight of the influence of each training sample on the loss function may be positively correlated to the actual adjustment score corresponding to the training label. It can be understood that the greater the weight of the influence of the training sample on the loss function, the greater the contribution of the training sample to the training of the optimization parameter determination model.

[0253] In some embodiments of the present specification, the weight of the influence of each training sample on the loss function is set to be positively correlated with the actual adjustment score corresponding to the training label. This allows the optimization parameter determination model to learn in the direction of parameter optimization data of the early warning device that provides a high actual adjustment score when the sample size is not sufficient, thereby improving the accuracy of the prediction of the optimization parameter determination model obtained through training.

[0254] In some embodiments, the government regulatory management platform may input the early warning feature map into a trained optimization parameter determination model, and output parameter optimization data of the early warning device corresponding to the node of the early warning feature map.

[0255] In some embodiments of the present specification, the accuracy of the parameter optimization data of the early warning device can be further improved by inputting the constructed early warning feature map into the optimization parameter determination model to determine the parameter optimization data of the early warning device.

[0256] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only an example and does not constitute a limitation of this specification.

Claims

1. A smart gas emergency safety simulation method based on government supervision, characterized in that: The method is performed by a smart gas emergency safety simulation Internet of Things system based on government supervision, and the smart gas emergency safety simulation Internet of Things system based on government supervision includes a gas company management platform, a gas company service platform, a gas equipment object platform, a gas user platform and a government supervision management platform. The method includes: The gas company management platform obtains gas supervision information of multiple supervision areas through the gas equipment object platform; The gas company management platform predicts potential emergency hazards in multiple regulatory areas based on the gas regulatory information, and sends the potential emergency hazards to at least one gas user platform through the gas company service platform; The gas company management platform obtains hidden danger feedback information corresponding to different potential emergency hidden dangers through the gas user platform; The gas company management platform determines the emergency safety simulation parameters corresponding to different regulatory areas based on the hidden danger feedback information and the gas regulatory information, including: The gas company management platform determines the potential risk scores of different regulatory areas based on the potential emergency hazards, the hazard feedback information and the gas regulatory information; The gas company management platform determines the area to be simulated based on the potential risk score and the risk threshold; and In response to the evaluation score of the first candidate simulation parameter being greater than or equal to the score threshold, the gas company management platform determines the emergency safety simulation parameters corresponding to different regulatory areas based on the gas supervision information, the hidden danger feedback information, the personnel information and the first candidate simulation parameter corresponding to the area to be simulated; the emergency safety simulation parameters include the arrangement parameters of the emergency safety simulation personnel in the regulatory area and the operation parameters of the emergency safety simulation equipment; The gas company management platform sends the emergency safety simulation parameters to the gas user platform to instruct the gas user platform to adjust the operating parameters of the emergency safety simulation device, and sends an emergency safety simulation notification to the emergency safety simulation personnel through the emergency safety simulation device; The gas company management platform obtains the simulation monitoring data collected by the emergency safety simulation device during the emergency safety simulation process through the gas equipment object platform; and The gas company management platform determines the emergency safety simulation result corresponding to the emergency safety simulation parameter based on the simulated monitoring data, and sends the emergency safety simulation result to the government supervision management platform; Wherein, the government supervision and management platform determines the parameter optimization data of the early warning device based on the emergency safety simulation results and the potential emergency hazards, including: The government supervision management platform determines, based on the simulated monitoring data, an emergency safety simulation result sequence corresponding to the emergency safety simulation parameter, wherein the emergency safety simulation result sequence includes the emergency safety simulation result sequence in each sub-area within the supervision area; The government supervision management platform determines the emergency safety simulation quality of each sub-area in the supervision area based on the emergency safety simulation result sequence; The government supervision management platform constructs an early warning feature map based on the emergency safety simulation quality, the potential emergency hazards and the hazard feedback information of each sub-area in the supervision area; The government regulatory management platform determines the parameter optimization data of the early warning device based on the early warning feature map by optimizing the parameter determination model, and the optimized parameter determination model is a machine learning model; determines the parameter optimization data of the early warning device, and sends it to the gas companies corresponding to each regulatory area to instruct the gas companies to adjust the parameters of the early warning devices in each regulatory area.

2. The method according to claim 1, characterized in that The Internet of Things system also includes a government supervision object platform, a government supervision sensor network platform and a gas company sensor network platform; The government supervision object platform includes the gas company management platform; The government supervision management platform includes a government supervision comprehensive database; The gas supervision information includes at least one of the operating parameters of gas auxiliary facilities, gas data, inspection and maintenance information, and status information of emergency safety simulation equipment; The operating parameters of the gas auxiliary facilities include the operating parameters of the pipeline control device and / or the monitoring parameters of the gas monitoring device; the emergency safety simulation results include the emergency safety simulation results of at least one of the relevant gas company, the gas auxiliary facilities and the segmented gas pipeline; The gas equipment object platform is configured to obtain uploaded data of the gas monitoring device installed on each of the gas pipeline segments and the gas ancillary facilities; the gas ancillary facilities include pipeline control devices; and is configured to communicate with the emergency safety simulation device and upload the status information of the emergency safety simulation device and the simulated monitoring data collected by the emergency safety simulation device to the gas company management platform; The gas company service platform is configured to perform data interaction with the gas company management platform and the gas user platform; The gas user platform is configured on a plurality of the relevant gas companies and their corresponding emergency safety simulation devices, and is configured as follows: Receiving the potential emergency hazards and the emergency safety simulation parameters issued by the gas company management platform through the gas company service platform; Obtaining hidden danger feedback information of the potential emergency hidden danger, and uploading the hidden danger feedback information to the gas company management platform; and Based on the emergency safety simulation parameters, adjusting the operating parameters of the emergency safety simulation device, and sending the emergency safety simulation notification to the emergency safety simulation personnel through the emergency safety simulation device; The government supervision management platform is configured to receive the emergency safety simulation results uploaded by the gas company management platform, and determine the parameter optimization data of the early warning device based on the emergency safety simulation results and the potential emergency hazards of the multiple supervision areas, and send it to the gas companies corresponding to the respective supervision areas to instruct the gas companies to adjust the parameters of the early warning devices in the respective supervision areas; The government regulatory sensor network platform is configured to interact with the government regulatory integrated database and the gas company management platform; The gas company sensor network platform is configured to interact with the gas equipment object platform and the gas company management platform.

3. The method according to claim 1, characterized in that: The optimization parameter determination model is obtained through training based on training samples and their corresponding training labels; The training sample includes a sample early warning feature map, and the sample early warning feature map is constructed by actually collecting data; The method for obtaining the training label corresponding to the training sample includes: setting a plurality of groups of the parameter optimization data of the early warning device for the training sample, and selecting the parameter optimization data of the early warning device with the highest actual adjustment score among the parameter optimization data as the training label; During the training process of the optimization parameter determination model, the weight of the influence of the training sample on the loss function is positively correlated to the actual adjustment score corresponding to the training label; the actual adjustment score is determined by obtaining the difference in the emergency safety simulation result sequence before and after the parameter optimization data of the early warning device is adjusted during the actual emergency safety simulation.

4. A smart gas emergency safety simulation Internet of Things system based on government supervision, characterized in that: It includes a government supervision management platform, a government supervision sensor network platform, a government supervision object platform, a gas company sensor network platform, a gas equipment object platform, a gas company service platform and a gas user platform. The government supervision object platform includes a gas company management platform; the government supervision management platform includes a government supervision comprehensive database; The gas equipment object platform is configured to obtain uploaded data of a plurality of gas ancillary facilities and a gas monitoring device installed on each of the gas pipeline segments; the gas ancillary facilities include pipeline control devices; and is configured to communicate with the emergency safety simulation device and upload the status information of the emergency safety simulation device and the simulated monitoring data collected by the emergency safety simulation device to the gas company management platform; The gas company service platform is configured to perform data interaction with the gas company management platform and the gas user platform; The gas user platform is configured on multiple relevant gas companies and their corresponding emergency safety simulation devices, and is configured as follows: Receiving potential emergency hazards and emergency safety simulation parameters issued by the gas company management platform through the gas company service platform; obtaining hazard feedback information of the potential emergency hazards, and uploading the hazard feedback information to the gas company management platform; and Based on the emergency safety simulation parameters, adjusting the operating parameters of the emergency safety simulation device, and sending the emergency safety simulation notification to the emergency safety simulation personnel through the emergency safety simulation device; The government supervision management platform is configured to receive the emergency safety simulation results uploaded by the gas company management platform, and determine parameter optimization data of the early warning device based on the emergency safety simulation results and the potential emergency hazards of multiple supervision areas, and send it to the gas companies corresponding to each supervision area to instruct the gas companies to adjust the parameters of the early warning devices in each supervision area; The government regulatory sensor network platform is configured to interact with the government regulatory integrated database and the gas company management platform; The gas company sensor network platform is configured to interact with the gas equipment object platform and the gas company management platform; The gas company management platform obtains gas supervision information of multiple supervision areas through the gas equipment object platform; the gas supervision information includes at least one of gas facility operation parameters, gas data, inspection and maintenance information, and status information of emergency safety simulation equipment, and the gas facility operation parameters include the operation parameters of the pipeline control device and / or the monitoring parameters of the gas data monitoring device; The gas company management platform predicts the potential emergency hazards in multiple regulatory areas based on the gas regulatory information, and sends the potential emergency hazards to at least one gas user platform through the gas company service platform; The gas company management platform obtains the hidden danger feedback information corresponding to different potential emergency hidden dangers through the gas user platform; The gas company management platform determines the emergency safety simulation parameters corresponding to different regulatory areas based on the hidden danger feedback information and the gas regulatory information, including: The gas company management platform determines the potential risk scores of different regulatory areas based on the potential emergency hazards, the hazard feedback information and the gas regulatory information; The gas company management platform determines the area to be simulated based on the potential risk score and the risk threshold; and In response to the evaluation score of the first candidate simulation parameter being greater than or equal to the score threshold, the gas company management platform determines the emergency safety simulation parameters corresponding to different regulatory areas based on the gas supervision information, the hidden danger feedback information, the personnel information and the first candidate simulation parameter corresponding to the area to be simulated; the emergency safety simulation parameters include the arrangement parameters of the emergency safety simulation personnel in the regulatory area and the operation parameters of the emergency safety simulation equipment; The gas company management platform sends the emergency safety simulation parameters to the gas user platform to instruct the gas user platform to adjust the operating parameters of the emergency safety simulation device, and sends an emergency safety simulation notification to the emergency safety simulation personnel through the emergency safety simulation device; The gas company management platform obtains the simulation monitoring data collected by the emergency safety simulation device during the emergency safety simulation process through the gas equipment object platform; The gas company management platform determines the emergency safety simulation result corresponding to the emergency safety simulation parameter based on the simulated monitoring data, and sends the emergency safety simulation result to the government supervision management platform, wherein the emergency safety simulation result includes the emergency safety simulation result of at least one of the relevant gas company, the gas ancillary facilities and the gas pipeline segment; and The government supervision and management platform determines parameter optimization data of the early warning device based on the emergency safety simulation results and the potential emergency hazards, including: The government supervision management platform determines, based on the simulated monitoring data, an emergency safety simulation result sequence corresponding to the emergency safety simulation parameter, wherein the emergency safety simulation result sequence includes the emergency safety simulation result sequence in each sub-area within the supervision area; The government supervision management platform determines the emergency safety simulation quality of each sub-area in the supervision area based on the emergency safety simulation result sequence; The government supervision management platform constructs an early warning feature map based on the emergency safety simulation quality, the potential emergency hazards and the hazard feedback information of each sub-area in the supervision area; The government regulatory management platform determines the parameter optimization data of the early warning device based on the early warning feature map by optimizing the parameter determination model, and the optimized parameter determination model is a machine learning model; determines the parameter optimization data of the early warning device, and sends it to the gas companies corresponding to each regulatory area to instruct the gas companies to adjust the parameters of the early warning devices in each regulatory area.

5. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions. When the computer reads the computer instructions in the storage medium, the computer executes the smart gas emergency safety simulation method based on government supervision as described in any one of claims 1-3.

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