Smart gas emergency safety handling method, Internet of Things system, device and medium

Abstract

The present invention provides a smart gas emergency safety processing method, Internet of Things system, device and medium, including: obtaining emergency event information from a gas equipment object platform based on a gas company management platform; determining the initial emergency plan through matching the emergency plan database according to the emergency event information; obtaining traffic information and environmental information within the emergency range from a government safety supervision service platform; obtaining gas supply and demand data, spare personnel information and spare material information from a gas company management platform; updating the initial emergency plan to determine the target emergency plan; sending the target emergency plan to the gas company management platform for execution based on a government safety supervision sensor network platform, and obtaining the execution result of the gas company management platform. The present invention realizes the reasonable allocation of emergency processing resources, timely handling of problems, reduction of unnecessary losses, avoids the waste of emergency processing resources, and ensures the gas safety of users.

Description

Technical Field

[0001] This specification relates to the field of gas emergency handling, and in particular to a smart gas emergency safety handling method, Internet of Things system, device and medium. Background Art

[0002] Gas emergency response generally uses an emergency response plan prepared in advance, so that when a gas accident occurs (for example, gas leakage, gas-caused fire, gas facility failure leading to unexpected gas outage or insufficient gas supply, etc.), a quick response can be made according to the emergency response plan to avoid the situation from escalating.

[0003] Most existing technologies match the key information of emergencies with the key information of historical abnormal events to generate corresponding emergency response plans. However, due to the differences in the time, location and type of gas accidents, a single emergency response plan may lead to improper handling of gas accidents, causing greater losses, causing additional waste of resources, and making it difficult to meet the needs of gas accident handling.

[0004] For example, CN112308733B proposes a smart city management system and method, which automatically generates emergency response plans through the system and sends them to emergency rescue units for emergency rescue work. The application lacks real-time data monitoring of different accidents, which reduces the accuracy of matching the emergency response plan with the accident site.

[0005] Therefore, it is necessary to provide a smart gas emergency safety handling method and system to improve the efficiency and quality of gas emergency handling. Summary of the invention

[0006] The invention content includes a smart gas emergency safety processing method, which is implemented based on a smart gas emergency safety processing Internet of Things system, and the system includes a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform and a gas equipment object platform; the government safety supervision object platform includes a gas company management platform; the method is executed by the government safety supervision management platform, including: obtaining emergency event information from the gas equipment object platform based on the gas company management platform; determining the initial emergency plan through matching the emergency plan database based on the emergency event information; obtaining traffic information and environmental information within the emergency scope from the government safety supervision service platform; obtaining gas supply and demand data, vacant personnel information and vacant material information from the gas company management platform; updating the initial emergency plan based on the traffic information, the environmental information, the gas supply and demand data, the vacant personnel information and the vacant material information to determine the target emergency plan; sending the target emergency plan to the gas company management platform for execution based on the government safety supervision sensor network platform, and obtaining the execution result of the gas company management platform.

[0007] The invention content includes a smart gas emergency safety processing Internet of Things system, which includes a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform and a gas equipment object platform; the government safety supervision object platform includes a gas company management platform; the government safety supervision management platform is configured to: obtain emergency event information from the gas equipment object platform based on the gas company management platform; determine the initial emergency plan through matching the emergency plan database based on the emergency event information; obtain traffic information and environmental information within the emergency scope from the government safety supervision service platform; obtain gas supply and demand data, vacant personnel information and vacant material information from the gas company management platform; update the initial emergency plan based on traffic information, environmental information, the gas supply and demand data, the vacant personnel information and the vacant material information to determine the target emergency plan; send the target emergency plan to the gas company management platform for execution based on the government safety supervision sensor network platform, and obtain the execution result of the gas company management platform.

[0008] The invention content includes a smart gas emergency safety processing device, which includes at least one processor and at least one memory; the at least one memory is used to store computer instructions; the at least one processor is used to execute at least part of the computer instructions to implement a smart gas emergency safety processing method.

[0009] The invention content includes a computer-readable storage medium, which stores computer instructions. When the computer reads the computer instructions in the storage medium, the computer executes the smart gas emergency safety processing method.

[0010] The beneficial effects that may be brought about by the smart gas emergency safety handling method and system disclosed in the present invention include but are not limited to: (1) Determine the target emergency plan based on traffic information, environmental information, available personnel information, gas supply and demand data, and available material information, reasonably allocate emergency handling resources, handle problems in a timely manner, and reduce unnecessary losses; (2) Obtain emergency feedback information after a gas emergency event occurs, and update the target emergency plan in combination with emergency feedback information, emergency scope and other data, thereby ensuring the real-time and effectiveness of various data, avoiding the waste of emergency handling resources, and ensuring the safety of users' gas use. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] 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:

[0012] Figure 1 It is a platform structure diagram of the smart gas emergency safety processing Internet of Things system shown in some embodiments of this specification;

[0013] Figure 2 is an exemplary flow chart of a smart gas emergency safety handling method according to some embodiments of this specification;

[0014] Figure 3 is an exemplary flow chart of updating a target emergency plan according to some embodiments of this specification;

[0015] Figure 4 is an exemplary schematic diagram of a prediction model according to some embodiments of this specification;

[0016] Figure 5 It is an exemplary schematic diagram of updating the emergency plan database according to some embodiments of this specification. DETAILED DESCRIPTION

[0017] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0018] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0019] Unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0020] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0021] In the prior art, gas management departments usually formulate some emergency response plans for gas accidents in advance. However, due to the uncertainty of the time and place of gas accidents, the same gas accident may change over time. Therefore, the universal emergency response plan formulated in advance is difficult to adapt to different gas accidents, which increases the difficulty of handling gas accidents.

[0022] Therefore, in some embodiments of the present specification, it is hoped to provide a smart gas emergency safety handling method and system to ensure the automation and intelligence of the gas emergency handling process, improve the emergency handling efficiency of gas accidents, and ensure the safe use of gas by residents.

[0023] Figure 1 This is a platform structure diagram of the smart gas emergency safety processing Internet of Things system shown in some embodiments of this specification. The smart gas emergency safety processing Internet of Things system involved in the embodiments of this specification will be described in detail below. It should be noted that the following embodiments are only used to explain this specification and do not constitute a limitation on this specification.

[0024] In some embodiments, the smart gas emergency safety processing Internet of Things system 100 includes a government safety supervision service platform 110, a government safety supervision management platform 120, a government safety supervision sensor network platform 130, a government safety supervision object platform 140, a gas company sensor network platform 150, a gas user platform 160, a gas user service platform 170 and a gas equipment object platform 180.

[0025] The government safety supervision service platform 110 is a platform that provides information related to gas operation supervision services.

[0026] The government safety supervision management platform 120 refers to a comprehensive management platform for government management information. In some embodiments, the government safety supervision management platform 120 can be configured to process and store data of the smart gas emergency safety processing Internet of Things system.

[0027] In some embodiments, the government safety supervision management platform 120 may interact with the government safety supervision sensor network platform 130. For example, the government safety supervision management platform 120 may obtain the target emergency plan from the gas company management platform through the government safety supervision sensor network platform 130.

[0028] In some embodiments, the government safety supervision management platform 120 can process information and / or data related to the smart gas emergency safety processing Internet of Things system 100 to perform one or more functions described in this application.

[0029] For more information about the functions performed by the government security supervision management platform 120, please refer to the specification Figure 2-Figure 5 Related content.

[0030] The government security supervision sensor network platform 130 refers to a platform for comprehensive management of government sensor information.

[0031] In some embodiments, the government security supervision sensor network platform 130 is configured to connect to the government security supervision management platform 120 and the government security supervision object platform 140 for data transmission.

[0032] In some embodiments, the government safety regulatory sensor network platform 130 may interact with the gas company management platform.

[0033] The government safety supervision object platform 140 refers to a platform for generating government supervision information and controlling information execution. In some embodiments, the government safety supervision object platform 140 may include a gas company management platform.

[0034] In some embodiments, the gas company management platform may interact with the government safety regulatory sensor network platform 130 .

[0035] The gas company sensor network platform 150 is used to manage sensor communication. In some embodiments, the gas company sensor network platform 150 can realize the functions of sensing information sensor communication and controlling information sensor communication. In some embodiments, the gas company sensor network platform 150 can be configured as a communication network or a gateway.

[0036] In some embodiments, the gas company sensor network platform 150 performs two-way communication with the gas equipment object platform 180 to receive emergency event information. In some embodiments, the gas company sensor network platform 150 can receive emergency event information acquired by the gas equipment object platform 180 .

[0037] The gas user platform 160 refers to a platform dominated by gas users. In some embodiments, the gas user platform 160 can interact with the gas user service platform. For example, the gas user platform 160 can query emergency event information from the gas user service platform.

[0038] The gas user service platform 170 refers to a platform for providing information related to gas network operations.

[0039] In some embodiments, the gas user service platform 170 may interact with the gas company management platform. For example, the gas user service platform 170 may obtain the target emergency plan from the gas company management platform.

[0040] In some embodiments, the gas equipment object platform 180 may be a functional platform for sensing information generation and controlling information execution. The gas equipment object platform 180 may include a gas monitoring device. The gas monitoring device of the gas equipment object platform 180 transmits monitoring information to the government safety supervision management platform 120 through a communication device. The gas monitoring device refers to an instrument used to monitor gas equipment. For example, the gas monitoring device may include a gas concentration detector, a pressure sensor, etc.

[0041] In some embodiments, the gas equipment object platform 180 may interact with the gas company sensor network platform 150 .

[0042] In some embodiments, the gas equipment object platform 180 is configured to provide emergency event information.

[0043] In some embodiments, the platform in the smart gas emergency safety processing IoT system 100 can be divided into a primary network and a secondary network. The primary network refers to a network where government users supervise the operation of the gas network, and the secondary network includes a network where the gas network is operated. In some embodiments, the same platform in the smart gas emergency safety processing IoT system 100 can play different roles in the primary network and the secondary network.

[0044] In some embodiments, the first-level network may include at least a first-level network service platform, a first-level network management platform, a first-level network sensor network platform, and a first-level network object platform. Among them, the first-level network service platform may include a government security supervision service platform, the first-level network management platform may include a government security supervision management platform, the first-level network sensor network platform may include a government security supervision sensor network platform, and the first-level network object platform may include a government security supervision object platform.

[0045] In some embodiments, the secondary network may include at least a secondary network user platform, a secondary network service platform, a secondary network management platform, a secondary network sensor network platform, and a secondary network object platform. Among them, the secondary network user platform may include a gas user platform, the secondary network service platform may include a gas user service platform, the secondary network management platform may include a gas company management platform, the secondary network sensor network platform may include a gas company sensor network platform, and the secondary network object platform may include a gas equipment object platform.

[0046] For more information about the functions of the Smart Gas Emergency Safety Processing IoT System 100, please refer to this manual Figure 2-Figure 5 See the relevant instructions in .

[0047] In some embodiments of this specification, based on the smart gas emergency safety processing Internet of Things system 100, it is coordinated and operated regularly under the unified management of the gas company management platform to make timely and effective judgments and processing of gas emergency events, thereby realizing the informatization and intelligence of gas accident emergency processing.

[0048] Figure 2 It is an exemplary flow chart of the smart gas emergency safety handling method shown in some embodiments of this specification.

[0049] like Figure 2 As shown, the process 200 includes the following steps. In some embodiments, the process 200 may be executed by a government security supervision management platform.

[0050] Step 210: Acquire emergency event information from the gas equipment object platform based on the gas company management platform.

[0051] Emergency event information refers to information related to emergency events obtained through different channels. Different channels refer to ways of obtaining information through different gas monitoring devices. Exemplarily, obtaining data from a gas concentration detector and obtaining data from a pipeline pressure sensor are two channels for obtaining data. For example, emergency event information may include the time of occurrence of the emergency event, the region to which it belongs, the type, the estimated severity, and the estimated emergency scope.

[0052] The estimated severity is an indicator used to characterize the severity of the estimated emergency event, and the estimated emergency scope is an indicator used to characterize the impact range of the estimated emergency event. In some embodiments, the estimated severity and the estimated emergency scope can be obtained based on the experience of the staff in the field.

[0053] In some embodiments, emergency event information can be obtained from a gas monitoring device through a communication device based on a gas equipment object platform. For example, if a gas monitoring device detects a gas leak in a section of a gas pipeline, the gas monitoring device can obtain information such as the location and time of the section of the pipeline and upload it to the gas equipment object platform through a communication device.

[0054] For more information about the gas monitoring device, please refer to the instruction manual Figure 1 Related content.

[0055] Step 220: According to the emergency event information, an initial emergency plan is determined by matching with the emergency plan database.

[0056] The emergency plan database refers to a database for storing emergency plans. In some embodiments, the emergency plan database contains accident characteristics and their corresponding emergency plans. Among them, accident characteristics refer to representative characteristics extracted from emergency events. For example, accident characteristics may include the time of occurrence, region, type, and estimated severity of the emergency event. In some embodiments, accident characteristics can be obtained in a variety of ways. For example, accident characteristics can be determined by staff in the field based on the characteristics and treatment effects of historical gas emergency events.

[0057] In some embodiments, the emergency plan database may also be constructed based on historical data.

[0058] The emergency plan refers to an emergency treatment plan for dealing with gas accidents. In some embodiments, the emergency plan may include a first scheduling parameter, a second scheduling parameter and a pressure regulation parameter.

[0059] The first dispatch parameter refers to a parameter used to generate an emergency dispatch instruction for dispatch personnel. In some embodiments, the first dispatch parameter may include the number of dispatch personnel.

[0060] Dispatching personnel refers to personnel who can be dispatched to handle emergency events. In some embodiments, dispatching personnel may include emergency personnel and maintenance personnel. Among them, emergency personnel refers to personnel who coordinate and handle emergency events; maintenance personnel refers to maintenance personnel who actually handle specific emergency events.

[0061] The second dispatch parameter refers to a parameter used to generate an emergency dispatch instruction for dispatching materials. In some embodiments, the second dispatch parameter may include the quantity of dispatched materials.

[0062] Dispatched materials refer to materials that can be dispatched for emergency incident handling. In some embodiments, dispatched materials may include emergency materials and maintenance materials. Among them, emergency materials refer to general emergency incident handling materials, such as fire extinguishers, warning signs, etc.; maintenance materials refer to structural parts or related equipment used for replacement or updating, such as spare pipelines, pipeline reinforcement devices, etc.

[0063] Pressure regulation parameters refer to parameters used to regulate the pressure of one or more pipelines in the gas pipeline network. In some embodiments, the pressure regulation parameters may include pressure parameters of one or more pipelines in the gas pipeline network, gas stop / pressure reduction range and stop / pressure reduction time period in the gas pipeline network, etc.

[0064] The initial emergency plan refers to an emergency plan that has not been updated. In some embodiments, the initial emergency plan can be matched in the emergency plan database based on the emergency event information. For the acquisition of the initial emergency plan, please refer to the relevant description of step 220.

[0065] In some embodiments, the government safety supervision management platform can determine the initial emergency plan in a variety of ways. For example, the government safety supervision management platform can construct a feature vector based on the accident characteristics, match the reference vector in the vector database based on the feature vector, and determine the emergency plan corresponding to the matched reference vector as the initial emergency plan. Among them, the matching method can be based on similarity matching, and the similarity calculation method can be Euclidean distance, cosine similarity, etc.

[0066] In some embodiments, the vector database may be constructed based on historical accident features and their corresponding emergency plans, including at least one reference vector and its corresponding emergency plan. In some embodiments, the reference vector may be constructed based on multiple historical accident features.

[0067] Step 230, obtaining traffic information and environmental information within the emergency scope from the government safety supervision service platform.

[0068] The emergency scope refers to the impact scope of the emergency event. In some embodiments, the emergency scope can be represented in a variety of ways. For example, the emergency scope can be a gas outage scope caused by the emergency event, a maintenance scope of the emergency event, a warning scope of the emergency event, etc.

[0069] In some embodiments, the emergency scope may be determined based on the estimated emergency scope in the emergency event information. For example, the government safety supervision management platform may use the estimated emergency scope as the current emergency scope.

[0070] Traffic information refers to data related to road traffic conditions. For example, traffic information may include road congestion, traffic flow when an emergency occurs, etc.

[0071] Environmental information refers to relevant data that characterizes the environmental status. For example, environmental information may include temperature, humidity, altitude, etc.

[0072] In some embodiments, traffic information and environmental information can be queried and obtained based on a government safety supervision service platform.

[0073] Step 240, obtaining gas supply and demand data, available personnel information, and available material information from the gas company management platform.

[0074] Gas supply and demand data refers to the gas demand and supply data in the area related to the emergency event. For example, gas supply and demand data may include gas demand, gas delivery volume, etc.

[0075] The available personnel information refers to the information of the personnel who are idle to handle the emergency incidents. For example, the available personnel information may include the location and number of the technicians who handle the accident.

[0076] The spare material information refers to the information of the materials that are in a free state and can be used to handle emergency events. For example, the spare material information may include the types of materials that can be used to handle accidents and their corresponding quantities, locations, etc.

[0077] Step 250, based on traffic information, environmental information, gas supply and demand data, spare personnel information and spare material information, update the initial emergency plan to determine the target emergency plan.

[0078] The target emergency plan refers to the emergency plan used to deal with current emergency events.

[0079] In some embodiments, the government safety supervision and management platform can update the initial emergency plan in a variety of ways. For example, the government safety supervision and management platform can determine the required dispatching personnel and dispatching materials by querying the first preset table based on traffic information, environmental information and gas supply and demand data.

[0080] In some embodiments, the first preset table can be constructed based on traffic information, environmental information, and gas supply and demand data in historical emergency events. For example, traffic information, environmental information, and gas supply and demand data corresponding to emergency events with better handling results in historical emergency events are obtained, and the emergency handling plan for the emergency event is recorded in the first preset table. The emergency event handling results can be obtained through evaluation by staff in the field.

[0081] In some embodiments, in response to the information of available personnel and available materials satisfying the required information of dispatched personnel and dispatched materials, where "satisfaction" means that the number of available personnel is greater than the number of dispatched personnel and the number of available materials is greater than the number of dispatched materials, the government safety supervision management platform may determine the first dispatch parameter in the initial emergency plan as the first dispatch parameter in the updated target emergency plan, and the second dispatch parameter in the initial emergency plan as the second dispatch parameter in the updated target emergency plan.

[0082] In response to the fact that the vacant personnel information and the vacant material information do not meet the required dispatching personnel and dispatching material information, the first dispatching parameter and the second dispatching parameter in the initial emergency plan are set to the vacant personnel information and the vacant material information respectively to obtain an updated target emergency plan.

[0083] In some embodiments, the voltage regulation parameters can remain unchanged or be manually set according to requirements.

[0084] In some embodiments, the government safety supervision and management platform can obtain emergency feedback information after a gas emergency event occurs; based on the emergency event information and emergency feedback information, update the emergency scope corresponding to the gas emergency event; obtain traffic information and environmental information within the updated emergency scope; based on the updated traffic information and environmental information within the emergency scope, update the target emergency plan.

[0085] For more information on updating the target emergency plan, see Figure 3 Related content.

[0086] Step 260, based on the government safety supervision sensor network platform, the target emergency plan is sent to the gas company management platform for execution, and the execution result of the gas company management platform is obtained.

[0087] In some embodiments, the government security supervision management platform obtains emergency plan feedback, and determines whether to execute the target emergency plan based on the target emergency plan and the emergency plan feedback.

[0088] Emergency plan feedback refers to the feedback result after evaluating the target emergency plan. In some embodiments, the emergency plan feedback may include pass or fail. If the emergency plan feedback is fail, the government safety supervision management platform can obtain another emergency plan.

[0089] In some embodiments, in response to the emergency plan feedback being passed, the government safety supervision management platform sends the target emergency plan to the gas company management platform for execution; in response to the emergency plan feedback being rejected, the government safety supervision management platform determines another emergency plan included in the emergency plan feedback as a new target emergency plan, and sends it to the gas company management platform for execution.

[0090] In some embodiments, the government safety supervision and management platform executes the target emergency plan, which at least includes sending the target emergency plan to the terminal of the dispatching personnel involved in the target emergency plan, and instructing the dispatching personnel to transport the dispatched materials to a preset location within a preset time period, and then generating a control instruction based on the pressure regulation parameters and sending it to the corresponding gas control facility, and controlling the gas control facility to control the pressure control range and time period of one or more pipelines in the gas pipeline network.

[0091] The preset location refers to the location where emergency personnel are responsible for handling gas emergencies. In some embodiments, the preset location can be preset and obtained by the staff in the field. The control instruction is an instruction for controlling the gas control facilities. The gas control facilities refer to devices used to control gas pipeline network related facilities, such as pressure regulating devices, etc.

[0092] The execution result is an indicator used to characterize the handling result of the gas emergency event after the implementation of the target emergency plan. For example, the execution result may include the execution process of the target emergency plan, the time spent on the execution of the target emergency plan, etc.

[0093] For more information on gas emergency incidents, please refer to Figure 3 Detailed description.

[0094] In some embodiments, the execution result can be obtained in a variety of ways. For example, the execution result can be obtained by the government safety supervision management platform after the emergency personnel upload the corresponding data through the terminal.

[0095] Based on the emergency event information, the initial emergency plan is determined, traffic information and environmental information within the emergency scope, gas supply and demand data, available personnel information and available material information are obtained, the initial emergency plan is updated to determine the target emergency plan, and the execution results are obtained. The emergency plan adapted to the current gas emergency event situation can be accurately obtained, so as to better resolve the current accident, reduce losses, and avoid the expansion of the scope of the accident. In addition, the personnel and materials for emergency event handling can be reasonably deployed to reduce resource waste, while also improving the efficiency of accident resolution and ensuring the safety of residents' gas use.

[0096] It should be noted that the above description of the process 200 is only for example and illustration, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the process 200 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0097] Figure 3 is an exemplary flow chart of updating a target emergency plan according to some embodiments of this specification. Figure 3As shown, the process 300 includes the following steps. In some embodiments, the process 300 may be executed by a government security supervision management platform.

[0098] Step 310: periodically obtain emergency feedback information after a gas emergency event occurs from the gas equipment object platform.

[0099] A gas emergency event refers to an accident in which an abnormal condition occurs in the gas pipeline network. For example, a gas emergency can be a gas pipeline leak, a gas equipment failure, etc.

[0100] Emergency feedback information refers to the status information of the gas pipeline after the target emergency plan is executed. For example, emergency feedback information may include changes in gas leakage trends, gas pipeline inspection results, etc.

[0101] In some embodiments, the emergency feedback information can be obtained by periodically querying the gas equipment object platform, wherein the period can be obtained by artificial preset.

[0102] Step 320: based on the emergency event information and the emergency feedback information, update the emergency scope corresponding to the gas emergency event.

[0103] In some embodiments, the government safety supervision management platform can update the emergency scope corresponding to the gas emergency event by querying the second preset table based on at least one set of emergency event information and emergency feedback information. The second preset table can be constructed based on historical emergency event information, historical emergency feedback information and historical emergency scope.

[0104] In some embodiments, the government safety supervision management platform can query the second preset table and determine the emergency range corresponding to the set of data that is closest to the current emergency event information and emergency feedback information in the second preset table as the current emergency range.

[0105] In some embodiments, the government safety supervision management platform can also determine the updated emergency scope through the prediction model based on the emergency event information and emergency feedback information. For more information about the prediction model, please refer to Figure 4 Related content.

[0106] Step 330, obtaining updated traffic information and environmental information within the emergency range.

[0107] In some embodiments, the updated traffic information and environmental information within the emergency range can be obtained based on the government safety supervision sensor network platform. For more information about traffic information and environmental information, please refer to Figure 2 Related content.

[0108] Step 340: Update the target emergency plan based on the updated traffic information and environmental information within the emergency range.

[0109] In some embodiments, the government safety supervision management platform can update the current target emergency plan based on the traffic information and environmental information within the current emergency scope. Figure 2 The method for determining the target emergency plan in step 250 determines the updated target emergency plan.

[0110] Based on emergency event information and emergency feedback information, the emergency scope corresponding to the gas emergency event is updated; based on the traffic information and environmental information within the updated emergency scope, the target emergency plan is updated, so that the area where the gas emergency event occurs can be dynamically located, and the surrounding environment and traffic conditions can be monitored in real time, so as to adjust the corresponding target emergency plan, effectively improve the efficiency of emergency event handling, reduce unnecessary waste of time and resources, handle gas accidents more efficiently, and ensure smooth and safe use of gas.

[0111] It should be noted that the above description of process 300 is only for example and illustration, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to process 300 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0112] Figure 4 is an exemplary schematic diagram of a prediction model according to some embodiments of the present specification.

[0113] In some embodiments, the government safety supervision management platform can determine the updated emergency scope 430 through the prediction model 420 based on the emergency event information 410 and the emergency feedback information 411; in some embodiments, the prediction model 420 is a machine learning model.

[0114] In some embodiments, the prediction model can be trained based on labeled training samples. In some embodiments, the labeled training samples are input into the initial prediction model, and the initial prediction model is trained based on the labels. The training samples include sample emergency event information and sample emergency feedback information, and the training samples can be obtained from a historical database. In some embodiments, the labels are the subsequent actual impact ranges corresponding to the sample gas emergency events and sample feedback information.

[0115] In some embodiments, the tag can be obtained based on manual annotation. In some embodiments, the government safety supervision management platform can use the largest range of resource dispatching, gas outage or pressure reduction impact ranges when solving gas emergency events in the future as the actual impact range.

[0116] For example, the sample emergency event information of training sample 1 is: a gas emergency event occurred in area A, and resources in areas A, B, and C were dispatched; the sample emergency feedback information of training sample 1 is: the gas emergency event in area A was resolved; then the actual impact range of this gas emergency event is area A+area B+area C, which is the label corresponding to training sample 1.

[0117] For another example, the sample emergency event information of training sample 2 is: a gas emergency occurred in area A, and gas cut-off / pressure reduction measures were taken. Gas was cut off in areas A and C, and pressure was reduced in areas B and D; the sample emergency feedback information of training sample 2 is: the gas emergency in area A was resolved; then the actual impact range is area A+area B+area C+area D, which is the label corresponding to training sample 2.

[0118] In some embodiments, prediction model 420 includes severity update layer 421 and emergency scope prediction layer 423 .

[0119] The severity update layer 421 is a model for determining the updated estimated severity corresponding to the emergency event information. The severity update layer 421 may be a machine learning model, such as a neural network (NN) model.

[0120] In some embodiments, the input of the severity update layer 421 may include emergency event information 410 and emergency feedback information 411 , and the output may include an updated estimated severity 422 .

[0121] The estimated severity refers to the severity of the gas emergency event estimated based on the emergency event information and emergency feedback information. For relevant contents of emergency event information and emergency feedback information, please refer to Figure 2 and its related description.

[0122] The emergency scope prediction layer 423 is a model for determining an updated emergency scope. The emergency scope prediction layer 423 may be a machine learning model, such as a neural network (NN) model.

[0123] In some embodiments, the input of the emergency scope prediction layer 423 includes the emergency feedback information 411 and the updated estimated severity 422 , and the output may include the updated emergency scope 430 .

[0124] In some embodiments, the severity update layer 421 and the emergency range prediction layer 423 can be obtained through joint training. In some embodiments, the government safety supervision management platform can input sample emergency event information and sample emergency feedback information into the severity update layer 421 in the prediction model 420, input the updated estimated severity 422 output by the severity update layer 421 into the emergency range prediction layer 423 in the prediction model 420, and construct a loss function based on the output and label of the emergency range prediction layer 423, and iteratively update the parameters of the severity update layer 421 model and the emergency range prediction layer 423 based on the loss function at the same time, until the preset conditions are met and the training is completed. After the training is completed, the parameters of the severity update layer 421 in the prediction model 420 can also be determined.

[0125] Obtaining the parameters of the severity update layer 421 by the above training method is helpful in solving the problem of difficulty in obtaining labels when training the severity update layer 421 alone in some cases, and can also enable the severity update layer 421 to better obtain the updated estimated severity 422. The training samples and labels refer to the above description.

[0126] In some embodiments of the present specification, by jointly processing the severity update layer and the emergency range prediction layer, the updated emergency range can be effectively predicted based on the emergency event information and the emergency feedback information, making the updated emergency range more accurate.

[0127] In some embodiments, the prediction model is obtained after a first stage of training.

[0128] In some embodiments, the first stage of training includes: training the initial prediction model based on the first training set, verifying based on the first validation set, and testing based on the first test set to obtain the trained prediction model. The first training set is used to train the internal parameters of the prediction model, the first validation set verifies the state and convergence of the prediction model during the training process, and the first test set is used to evaluate the training effect of the model.

[0129] In some embodiments, the first training set, the first test set, and the first validation set are from an event data set corresponding to historical gas emergency events, and the event data set includes emergency event information and emergency feedback information.

[0130] In some embodiments, the data ratio of the first training set, the first test set, and the first validation set is a first preset ratio. In some embodiments, the data ratio of the first training set, the first test set, and the first validation set is 8:1:1.

[0131] In some embodiments, there is no data overlap among the first training set, the first test set, and the first validation set, that is, a piece of data can only exist in one of the first training set, the first test set, and the first validation set.

[0132] In some embodiments, the statistical difference of the samples in the first training set is greater than a preset difference threshold.

[0133] The sample statistical difference refers to the sample diversity of the samples in the first training set. In some embodiments, the greater the sample diversity, the greater the sample statistical difference.

[0134] In some embodiments, the government safety supervision and management platform can first quantify the emergency event information and emergency feedback information of each sample in the first training set into numbers, that is, each sample corresponds to a digital vector. For example, the emergency feedback information includes the gas leakage trend. If the gas leakage trend decreases, the corresponding emergency feedback information is encoded as 1. If the gas leakage trend increases, the corresponding emergency feedback information is encoded as 0.

[0135] In some embodiments, the government safety supervision management platform can calculate the vector distance (e.g., cosine distance) between two samples in the first training set, and then calculate the variance of the obtained multiple vector distances. The larger the variance, the greater the statistical difference of the samples. In some embodiments, introducing statistical differences in samples can make the prediction model more robust and prevent the prediction model from overfitting.

[0136] In some embodiments, the preset difference threshold is related to the statistical value of the severity of historical gas emergency events. In some embodiments, the statistical value may be a variance. The larger the statistical value of the severity of historical gas emergency events, the larger the preset difference threshold. The larger the statistical value of the severity of historical gas emergency events, the more uncertain the gas accident is and the more potential impacts involved. Therefore, the preset difference threshold may be increased to enable the prediction model to learn from a more widely distributed data sample to more accurately predict the updated emergency range.

[0137] In some embodiments of the present specification, the government safety supervision management platform obtains data from the historical database to construct a training set, a validation set, and a test set, and trains and verifies the initial prediction model, which can effectively improve the accuracy of the prediction model, thereby improving the accuracy of the updated emergency response range.

[0138] In some embodiments of the present specification, based on emergency event information and emergency feedback information, an updated emergency range is determined through a prediction model, and the status information of the gas pipeline can be comprehensively considered to obtain the updated emergency range in a timely and accurate manner, thereby ensuring that the updated emergency range is as accurate as possible and effectively reducing the impact of gas events.

[0139] In some embodiments, the government safety supervision management platform can obtain historical emergency data based on the gas company management platform.

[0140] Historical emergency data refers to the accident characteristics extracted from various historical gas emergency events when handling historical gas emergency events, as well as the subsequent emergency plans for solving the accidents. For more information on accident characteristics, see Figure 2 and its related description.

[0141] In some embodiments, the government security supervision management platform can update the emergency plan database based on historical emergency data.

[0142] In some embodiments, the government safety supervision management platform can count the emergency plans that are used most frequently under various accident characteristics in historical emergency data, and update the emergency plans that are used most frequently into the emergency plan database.

[0143] Figure 5 It is an exemplary schematic diagram of updating the emergency plan database according to some embodiments of this specification.

[0144] In some embodiments, the government safety supervision management platform can predict the estimated effect 540 of the emergency plan based on the emergency event information sequence 510 and the emergency feedback information sequence 511 during the execution of the emergency plan of the historical emergency data.

[0145] Emergency event information sequence refers to a sequence composed of emergency event information. For example, in the emergency event information sequence M (m1, m2, m3, m4, m5), m1, m2, m3, m4, and m5 respectively represent the time of occurrence, region, type, estimated severity, and estimated emergency scope of the emergency event. For more information about emergency event information and related information, see Figure 2 and its related description.

[0146] Emergency feedback information sequence refers to a sequence composed of emergency feedback information. For example, in the emergency feedback sequence N (n1, n2), n1 represents the gas leakage trend and n2 represents the inspection result. For more information on emergency feedback information, see Figure 2 and its related description.

[0147] The estimated effect refers to the estimated effect of handling the gas emergency event after the emergency plan is executed. In some embodiments, the estimated effect is used to evaluate the handling quality produced after the emergency plan is executed.

[0148] In some embodiments, the government safety supervision management platform can predict the estimated effect of the emergency plan through clustering based on the gas emergency event information sequence and the emergency feedback information sequence during the execution of the emergency plan.

[0149] In some embodiments, the government safety supervision and management platform can use at least one emergency plan used in each emergency accident in the historical database and the gas emergency event information sequence and emergency feedback information sequence during its execution as clustering vectors to form a preset number of cluster centers, and discard the emergency plans whose distance from the cluster center is greater than a preset distance threshold after clustering, and whose losses incurred during the actual processing process are higher than the preset loss threshold.

[0150] Among them, the losses incurred during the actual handling process refer to the gas-related losses incurred during the implementation of the emergency plan. For example, the gas needs to be shut down during the implementation of the emergency plan. Some special institutions that cannot shut down the gas need to supply gas through temporary gas supply and other means. These temporary gas supply expenses are the losses incurred during the actual handling process.

[0151] In some embodiments, the government safety supervision management platform determines the estimated effect of the emergency plan through weighted calculation based on the distance between the emergency plan and the nearest cluster center and the losses incurred during the actual handling of the emergency plan.

[0152] For example, the estimated effect = a1 × the distance between the emergency plan and the cluster center + a2 × the loss incurred during the actual processing of the emergency plan.

[0153] In some embodiments, the weights a1 and a2 are preset manually. In some embodiments, a1 and a2 can be fine-tuned according to the concentration of locations of different historical gas emergency events in the area where the emergency accident is located.

[0154] In some embodiments, the government safety supervision and management platform can quantify the locations of different historical gas emergency events, and then count their variances. The smaller the variance, the more concentrated the locations of the historical gas emergency events, and the larger the variance, the more dispersed the locations of the historical gas emergency events.

[0155] In some embodiments, the more concentrated the locations of historical gas emergency events are, the more a2 can be adjusted up by n preset values, for example, by an appropriate increase of 2 percentage points; when the locations of historical gas emergency events are more dispersed, a1 can be adjusted up by n preset values, for example, by an appropriate increase of 2 percentage points.

[0156] In some embodiments, the government safety supervision management platform can obtain the estimated severity sequence 530 during the execution of the emergency plan through the severity update layer 421 based on the emergency event information sequence 510 and the emergency feedback information sequence 511.

[0157] The estimated severity sequence refers to the sequence of estimated severity obtained from gas emergency event information and emergency feedback information. For more information about the estimated severity and severity update layer, see Figure 4 and its related description.

[0158] In some embodiments, the government security supervision management platform predicts the estimated effect 540 based on the estimated severity sequence 530. For example, the government security supervision management platform can calculate the severity fluctuation characteristics and the severity average according to the estimated severity sequence, and obtain the estimated effect based on the weighted severity fluctuation characteristics and the severity average. Among them, severity fluctuation characteristics = severity standard deviation / severity average. Estimated effect = k1 × severity fluctuation threshold / severity fluctuation characteristics + k2 × severity average threshold / severity average. k1 and k2 are preset based on manual experience.

[0159] In some embodiments of the present specification, the estimated effect of the emergency plan is predicted based on the estimated severity sequence. The estimated effect of the emergency plan can be predicted after a clear understanding of the severity of the gas emergency event, thereby effectively improving the accuracy of the predicted effect of the emergency plan and facilitating a more correct and objective evaluation of the effectiveness of the emergency plan.

[0160] In some embodiments, the government safety supervision management platform may update the emergency plan database 550 based on the estimated effect 540 and the score threshold 541 of the emergency plan.

[0161] In some embodiments, the government safety supervision management platform can update the emergency plan whose estimated effect is greater than the score threshold to the emergency plan database 550 based on the estimated effect 540 and the score threshold 541 of the emergency plan. In some embodiments, the score threshold can be preset manually.

[0162] In some embodiments, the score threshold is related to the frequency of gas emergency events in different areas. In some embodiments, if gas emergency events frequently occur in a certain area, more initial emergency plans may be prepared to deal with frequent emergency events in different locations, with different severities, and with different emergency scopes in the area. Therefore, the higher the frequency of gas emergency events, the lower the score threshold. For example, the score threshold = w1×gas emergency event frequency threshold / gas emergency event frequency, where w1 is a normalization coefficient determined by manual preset. In some embodiments, when the frequency of gas emergency events in a certain area is high, the score threshold is appropriately lowered. The frequency threshold refers to the frequency of gas emergency events in a preset area.

[0163] In some embodiments, the frequency of occurrence of gas emergency events in different areas is obtained from a gas company management platform.

[0164] In some embodiments of the present specification, the score threshold is determined based on the frequency of gas emergency events in different areas. The score threshold can be flexibly adjusted according to the frequency of gas emergency events in different areas, so as to more accurately select an emergency plan that meets the estimated effect.

[0165] In some embodiments of the present specification, the emergency plan database is updated based on the estimated effect and the score threshold of the emergency plan, so that the emergency plan database can be updated in real time, thereby effectively improving the accuracy of the emergency plan database.

[0166] In some embodiments of the present specification, the emergency plan database is updated based on historical emergency data, which can fully draw on the effective information in the historical emergency data, improve the accuracy of the emergency plan database, and lay the foundation for the formulation of emergency plans for future gas emergency events.

[0167] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements and corrections to this specification. Such modifications, improvements and corrections are suggested in this specification, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0168] At the same time, this specification uses specific words to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of this specification can be appropriately combined.

[0169] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A smart gas emergency safety processing Internet of Things system, characterized in that: The system includes a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform and a gas equipment object platform; wherein the government safety supervision object platform includes a gas company management platform; The government security supervision management platform is configured as follows: Acquiring emergency event information from the gas equipment object platform based on the gas company management platform; According to the emergency event information, determine the initial emergency plan through matching with the emergency plan database; Obtaining traffic information and environmental information within the emergency scope from the government safety supervision service platform; Obtaining gas supply and demand data, available personnel information, and available material information from the gas company management platform; updating the initial emergency plan according to the traffic information, the environmental information, the gas supply and demand data, the spare personnel information and the spare material information to determine a target emergency plan; Sending the target emergency plan to the gas company management platform for execution based on the government safety supervision sensor network platform, and obtaining the execution result of the gas company management platform; The government security supervision management platform is further configured as follows: Periodically obtaining emergency feedback information after a gas emergency event occurs from the gas equipment object platform; Based on the emergency event information and the emergency feedback information, updating the emergency scope corresponding to the gas emergency event; Obtain updated traffic and environmental information within the emergency scope; Based on the updated traffic information and environmental information within the emergency scope, updating the target emergency plan; The government security supervision management platform is further configured as follows: Based on the emergency event information and the emergency feedback information, determining an updated emergency scope through a prediction model, wherein the prediction model is a machine learning model; The prediction model includes a severity update layer and an emergency scope prediction layer, the input of the severity update layer includes the emergency event information and the emergency feedback information, and the output includes the updated estimated severity, the input of the emergency scope prediction layer includes the emergency feedback information and the updated estimated severity, and the output includes the updated emergency scope; The prediction model is obtained after the first stage of training, and the first stage of training includes: training the initial prediction model based on the first training set, verifying it based on the first validation set, and testing it based on the first test set to obtain the trained prediction model; the first training set, the first test set, and the first validation set are from the event data set corresponding to the historical gas emergency events, and the event data set includes the emergency event information and the emergency feedback information; the data ratio of the first training set, the first test set, and the first validation set is a first preset ratio; there is no data overlap among the first training set, the first test set, and the first validation set; the statistical difference of the samples of the first training set is greater than the preset difference threshold; the preset difference threshold is related to the statistical value of the severity of the historical gas emergency events.

2. The system according to claim 1, characterized in that The government security supervision management platform is further configured as follows: Based on the gas company management platform, historical emergency data is obtained; Based on the historical emergency data, the emergency plan database is updated.

3. The system according to claim 2, characterized in that The government security supervision management platform is further configured as follows: Based on the emergency event information sequence and the emergency feedback information sequence during the execution of the emergency plan of the historical emergency data, predicting the estimated effect of the emergency plan; The emergency plan database is updated based on the estimated effect and the score threshold of the emergency plan.

4. The system according to claim 3, characterized in that The government security supervision management platform is further configured as follows: Based on the emergency event information sequence and the emergency feedback information sequence, obtaining an estimated severity sequence during the execution of the emergency plan through a severity update layer; Based on the estimated severity sequence, the estimated effect is predicted.

5. The system according to claim 3, characterized in that The score threshold is related to the frequency of occurrence of gas emergency events in different areas.

6. A smart gas emergency safety handling method, characterized in that: The method is implemented based on a smart gas emergency safety processing Internet of Things system, which includes a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform, and a gas equipment object platform; wherein the government safety supervision object platform includes a gas company management platform; the method is executed by the government safety supervision management platform, and includes: Acquiring emergency event information from the gas equipment object platform based on the gas company management platform; According to the emergency event information, determine the initial emergency plan through matching with the emergency plan database; Obtaining traffic information and environmental information within the emergency scope from the government safety supervision service platform; Obtaining gas supply and demand data, available personnel information, and available material information from the gas company management platform; updating the initial emergency plan according to the traffic information, the environmental information, the gas supply and demand data, the spare personnel information and the spare material information to determine a target emergency plan; Sending the target emergency plan to the gas company management platform for execution based on the government safety supervision sensor network platform, and obtaining the execution result of the gas company management platform; The updating of the initial emergency plan according to the traffic information, the environmental information, the gas supply and demand data, the spare personnel information and the spare material information to determine the target emergency plan includes: Periodically obtaining emergency feedback information after a gas emergency event occurs from the gas equipment object platform; Based on the emergency event information and the emergency feedback information, updating the emergency scope corresponding to the gas emergency event; Obtain updated traffic and environmental information within the emergency scope; Based on the updated traffic information and environmental information within the emergency scope, updating the target emergency plan; The updating of the emergency scope corresponding to the gas emergency event based on the emergency event information and the emergency feedback information includes: Based on the emergency event information and the emergency feedback information, determining an updated emergency scope through a prediction model, wherein the prediction model is a machine learning model; The prediction model includes a severity update layer and an emergency scope prediction layer, the input of the severity update layer includes the emergency event information and the emergency feedback information, and the output includes the updated estimated severity, the input of the emergency scope prediction layer includes the emergency feedback information and the updated estimated severity, and the output includes the updated emergency scope; The prediction model is obtained after the first stage of training, and the first stage of training includes: training the initial prediction model based on the first training set, verifying it based on the first validation set, and testing it based on the first test set to obtain the trained prediction model; the first training set, the first test set, and the first validation set are from the event data set corresponding to the historical gas emergency events, and the event data set includes the emergency event information and the emergency feedback information; the data ratio of the first training set, the first test set, and the first validation set is a first preset ratio; there is no data overlap among the first training set, the first test set, and the first validation set; the statistical difference of the samples of the first training set is greater than the preset difference threshold; the preset difference threshold is related to the statistical value of the severity of the historical gas emergency events.

7. A smart gas emergency safety treatment device, characterized in that: The apparatus comprises at least one processor and at least one memory; The at least one memory is used to store computer instructions; The at least one processor is configured to execute at least part of the computer instructions to implement the method as claimed in claim 6.

8. 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 method as claimed in claim 6.

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