Hazardous chemical substance fire accident emergency disposal risk dynamic monitoring and assessment method and device

Abstract

The invention provides a hazardous chemical substance fire accident emergency disposal risk dynamic monitoring and assessment method and device. Emergency plan information of a hazardous chemical substance fire accident is acquired, an emergency processing flow and emergency processing entity information are generated according to the emergency plan information, then a feedback control loop is acquired, and a hierarchical control model is generated according to the emergency processing flow, the emergency processing entity information and the feedback control loop. And risk factor information during emergency processing based on the emergency plan information is extracted according to the hierarchical control model. Risk early warning is carried out according to the risk factor information and the target risk factor of the current accident scene, and the risk factor information during emergency processing based on the emergency plan information is extracted according to the hierarchical control model, so that the process of extracting the risk factors is more objective and scientific to identify all the risk factors; and then carrying out risk early warning according to the risk factor information and the target risk factor of the current accident scene so as to identify the potential risk factor and carry out early warning when the accident occurs.

Description

Technical Field

[0001] The present application relates to the field of safety technology, and in particular to a method and device for dynamically monitoring and evaluating the risk of emergency response to hazardous chemical fire accidents. Background Art

[0002] Chemical companies usually involve a variety of hazardous chemicals in the production process. The production sites of chemical companies also have the characteristics of many flammable and combustible chemicals, complex nature of hazardous chemicals, dense personnel, complex processes and strong correlation, which are very prone to fire accidents. In order to reduce the severity of the consequences of fire accidents, chemical companies need to formulate emergency plans. Pre-evaluation of emergency plans can clarify the risk points and response measures in the emergency plans, so that emergency personnel can respond quickly when accidents occur, take correct disposal measures, and effectively control the development of fire accidents.

[0003] The existing technology uses expert evaluation to conduct pre-evaluation of emergency plans, that is, experts judge the risk points in emergency plans based on their experience. The expert evaluation method mainly relies on the subjective judgment of experts. Different experts may have different opinions, biases and concerns, which may lead to the neglect of certain risk factors in the evaluation process. In addition, since the expert evaluation method cannot understand the changes in the situation at the fire accident site in real time, it is impossible to accurately identify all potential risk factors during the accident. Summary of the invention

[0004] The present application provides a method and device for dynamically monitoring and assessing the risk of emergency response to hazardous chemical fire accidents, which is used to identify all potential risk factors, and dynamically identify all potential risk factors when an accident occurs.

[0005] In the first aspect, the present application provides a method for dynamic monitoring and assessment of the emergency response risk of hazardous chemical fire accidents, including:

[0006] Obtain emergency response plan information for at least one hazardous chemical fire accident;

[0007] Generate an emergency response process and emergency response entity information according to the emergency plan information, wherein the emergency response process includes: a plurality of emergency response actions sequentially executed for the at least one hazardous chemical fire accident, and the emergency response entity information includes: an emergency response entity identification and emergency response entity responsibilities;

[0008] Acquire a feedback control loop, the feedback control loop comprising: a control entity, an execution entity, and a feedback entity, the control entity is used to send a control instruction, the execution entity is used to execute an emergency handling behavior corresponding to the control instruction, and the feedback entity is used to feed back execution status information of the emergency handling behavior to the control entity;

[0009] Generate a hierarchical control model according to the emergency handling process, the emergency handling entity information and the feedback control loop, wherein the hierarchical control model includes: each of the emergency handling entities and the interaction relationship between each of the emergency handling entities when executing the emergency handling behavior;

[0010] Extracting risk factor information when performing emergency treatment based on the emergency plan information according to the hierarchical control model;

[0011] A risk warning is issued based on the risk factor information and the target risk factors of the current accident scene.

[0012] In a possible implementation, extracting risk factor information when performing emergency processing based on the emergency plan information according to the hierarchical control model includes:

[0013] Analyzing the hierarchical control model to obtain first risk factor information existing in the emergency handling process, the first risk factor information including: risk factors, risk scenarios corresponding to the risk factors, and safety constraints corresponding to the risk factors, wherein the safety constraints indicate conditions under which the risk factors do not present risks;

[0014] Acquire second risk factor information corresponding to each of the risk factors from a preset risk database, where the second risk factor information includes at least one of the following: risk factor, risk level, response strategy, risk handling entity involved in the risk factor, and emergency handling resources involved in the risk factor, where the risk level is used to indicate the occurrence probability and / or severity of the risk factor;

[0015] generating the risk factor information according to the first risk factor information and the second risk factor information;

[0016] The risk factor information is stored in a monitoring database of the monitoring platform.

[0017] In a possible implementation, performing risk warning according to the risk factor information and the target risk factors of the current accident scene includes:

[0018] Collect accident scene data;

[0019] Inputting the accident scene data into a preset neural network model for data analysis, so that the neural network model obtains target risk factor information corresponding to the accident scene data from the monitoring database of the monitoring platform;

[0020] A risk warning is performed on the monitoring platform according to the target risk factor information.

[0021] In a possible implementation, it further includes:

[0022] Converting the hierarchical control model into a system module diagram described in a system modeling language;

[0023] Storing the system module diagram in a monitoring database of a visual dynamic monitoring platform;

[0024] The performing risk warning on the monitoring platform according to the target risk factor information includes:

[0025] determining whether a target risk factor among the target risk factors satisfies the safety constraint condition;

[0026] If the target risk factor does not satisfy the corresponding safety constraint condition, the system module diagram is displayed on the monitoring platform, and the warning information corresponding to the target risk factor is displayed in the system module diagram.

[0027] In a possible implementation, displaying the warning information corresponding to the target risk factor in the system module diagram includes:

[0028] Extracting the risk scenario of the target risk factor from the target risk factor information;

[0029] Determine the warning position corresponding to the risk scenario of the target risk factor in the system module diagram;

[0030] The warning information corresponding to the target risk factor is displayed at the warning position in the system module diagram, and the warning information includes at least one of the first risk factor information and / or the second risk factor information.

[0031] In a possible implementation manner, generating a hierarchical control model according to the emergency processing process, the emergency processing entity information and the feedback control loop includes:

[0032] For any of the emergency handling entity identifiers, determine the emergency handling behavior corresponding to the emergency handling entity identifier from the emergency handling process according to the emergency handling entity responsibilities;

[0033] Determine the emergency processing entity type corresponding to the emergency processing entity identifier according to the emergency processing behavior corresponding to the emergency processing entity identifier, where the emergency processing entity type is the control entity, the execution entity, or the feedback entity;

[0034] Determining, according to the emergency handling behaviors corresponding to the emergency handling entity identifiers and the types of the emergency handling entities, the interaction relationship between the emergency handling entities when executing the emergency handling behaviors;

[0035] A hierarchical control model is constructed according to the interaction relationship between the emergency processing entities when executing the emergency processing behavior.

[0036] In the second aspect, the present application provides a device for dynamic monitoring and assessment of the emergency response risk of hazardous chemical fire accidents, comprising:

[0037] An acquisition module, used to acquire emergency plan information for at least one hazardous chemical fire accident;

[0038] A processing module, configured to generate an emergency processing process and emergency processing entity information according to the emergency plan information, wherein the emergency processing process includes: a plurality of emergency processing actions sequentially executed for the at least one hazardous chemical fire accident, and the emergency processing entity information includes: an emergency processing entity identification and emergency processing entity responsibilities;

[0039] The acquisition module is further used to acquire a feedback control loop, the feedback control loop includes: a control entity, an execution entity, and a feedback entity, the control entity is used to send a control instruction, the execution entity is used to execute the emergency handling behavior corresponding to the control instruction, and the feedback entity is used to feed back the execution status information of the emergency handling behavior to the control entity;

[0040] The processing module is further used to generate a hierarchical control model according to the emergency processing process, the emergency processing entity information and the feedback control loop, wherein the hierarchical control model includes: each of the emergency processing entities and the interaction relationship between each of the emergency processing entities when executing the emergency processing behavior;

[0041] The processing module is further used to extract risk factor information when performing emergency processing based on the emergency plan information according to the hierarchical control model;

[0042] The processing module is also used to issue a risk warning based on the risk factor information and the target risk factors of the current accident scene.

[0043] In a dangerous chemical fire accident emergency disposal risk dynamic monitoring and assessment device provided in this application:

[0044] A processing module, configured to analyze the hierarchical control model to obtain first risk factor information existing in the emergency handling process, wherein the first risk factor information includes: a risk factor, a risk scenario corresponding to the risk factor, and a safety constraint condition corresponding to the risk factor, wherein the safety constraint condition indicates a condition under which the risk factor does not present a risk;

[0045] an acquisition module, configured to acquire second risk factor information corresponding to each of the risk factors from a preset risk database, wherein the second risk factor information includes at least one of the following: a risk factor, a risk level, a response strategy, a risk handling entity involved in the risk factor, and an emergency handling resource involved in the risk factor, wherein the risk level is used to indicate the occurrence probability and / or severity of the risk factor;

[0046] a processing module, configured to generate the risk factor information according to the first risk factor information and the second risk factor information;

[0047] The processing module is used to store the risk factor information in the monitoring database of the monitoring platform.

[0048] In a dangerous chemical fire accident emergency disposal risk dynamic monitoring and assessment device provided in this application:

[0049] An acquisition module is used to collect accident scene data;

[0050] A processing module, used for inputting the accident scene data into a preset neural network model for data analysis, so that the neural network model obtains target risk factor information corresponding to the accident scene data from the monitoring database of the monitoring platform;

[0051] A processing module is used to issue risk warnings on the monitoring platform according to the target risk factor information.

[0052] In a risk analysis device for handling hazardous chemical fire accidents provided in this application:

[0053] A processing module, used for converting the hierarchical control model into a system module diagram described in a system modeling language;

[0054] A processing module, used for storing the system module diagram in a monitoring database of a visual dynamic monitoring platform;

[0055] The performing risk warning on the monitoring platform according to the target risk factor information includes:

[0056] a processing module, configured to determine whether a target risk factor among the target risk factors satisfies the safety constraint condition;

[0057] If the target risk factor does not satisfy the corresponding safety constraint condition, the processing module displays the system module diagram on the monitoring platform, and displays the warning information corresponding to the target risk factor in the system module diagram.

[0058] In a dangerous chemical fire accident emergency disposal risk dynamic monitoring and assessment device provided in this application:

[0059] An acquisition module, configured to extract the risk scenario of the target risk factor from the target risk factor information;

[0060] A processing module, used to determine the warning position corresponding to the risk scenario of the target risk factor in the system module diagram;

[0061] A processing module is used to display the warning information corresponding to the target risk factor at the warning position in the system module diagram, and the warning information includes at least one of the first risk factor information and / or the second risk factor information.

[0062] In a dangerous chemical fire accident emergency disposal risk dynamic monitoring and assessment device provided in this application:

[0063] A processing module, configured to determine, for any one of the emergency handling entity identifiers, the emergency handling behavior corresponding to the emergency handling entity identifier from the emergency handling process according to the emergency handling entity responsibilities;

[0064] A processing module, used to determine the emergency processing entity type corresponding to the emergency processing entity identifier according to the emergency processing behavior corresponding to the emergency processing entity identifier, and the emergency processing entity type is the control entity, the execution entity, or the feedback entity;

[0065] A processing module, used to determine the interaction relationship between each of the emergency processing entities when executing the emergency processing behavior according to the emergency processing behavior corresponding to each of the emergency processing entity identifiers and the emergency processing entity type;

[0066] The processing module is used to construct a hierarchical control model according to the interaction relationship between the emergency processing entities when executing the emergency processing behavior.

[0067] In a third aspect, the present application provides a device for dynamic monitoring and assessment of emergency disposal risks of hazardous chemicals fire accidents, comprising: a processor, and a memory in communication connection with the processor;

[0068] The memory stores computer-executable instructions;

[0069] The processor executes the computer-executable instructions stored in the memory to implement a method for analyzing the risk of handling hazardous chemical fire accidents as described in any one of the first aspects.

[0070] In a fourth aspect, the present application provides a computer-readable storage medium, which stores computer execution instructions. When the computer execution instructions are executed by a processor, they are used to implement a method for dynamic monitoring and assessment of emergency response risks of hazardous chemical fire accidents as described in any one of the first aspects.

[0071] In a fifth aspect, the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, it is used to implement a method for dynamic monitoring and assessment of emergency response risks of hazardous chemical fire accidents as described in any one of the first aspects.

[0072] The method and device for dynamic monitoring and assessment of the emergency disposal risk of hazardous chemical fire accidents provided in the present application obtains emergency plan information for at least one hazardous chemical fire accident, generates an emergency treatment process and emergency treatment entity information according to the emergency plan information, and then obtains a feedback control loop, generates a hierarchical control model according to the emergency treatment process, the emergency treatment entity information and the feedback control loop, extracts risk factor information when performing emergency treatment based on the emergency plan information according to the hierarchical control model, and issues a risk warning based on the risk factor information and the target risk factors of the current accident site. Compared with the prior art that determines the risk points appearing in the emergency plan through expert evaluation, the present application obtains and generates a hierarchical control model, and extracts risk factor information when performing emergency treatment based on the emergency plan information according to the hierarchical control model, so that the process of extracting risk factors is more objective and scientific, so as to identify all risk factors, and then issues a risk warning based on the risk factor information and the target risk factors of the current accident site, so as to identify potential risk factors and issue a warning when an accident occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0074] Figure 1 A flowchart of a first embodiment of a method for dynamic monitoring and assessment of the risk of emergency disposal of hazardous chemicals fire accidents provided in this embodiment;

[0075] Figure 2 Provide emergency response procedures for hazardous chemicals fire accidents;

[0076] Figure 3 A flow chart of a second embodiment of a method for dynamic monitoring and assessment of the risk of emergency disposal of hazardous chemicals fire accidents provided in this embodiment;

[0077] Figure 4 A flowchart of a third embodiment of a method for dynamic monitoring and assessment of the risk of emergency disposal of hazardous chemicals fire accidents provided in this embodiment;

[0078] Figure 5 A flowchart of a fourth embodiment of a method for dynamic monitoring and assessment of the emergency response risk of a hazardous chemicals fire accident provided in this embodiment;

[0079] Figure 6A flowchart of a fifth embodiment of a method for dynamic monitoring and assessment of the risk of emergency disposal of hazardous chemicals fire accidents provided in this embodiment;

[0080] Figure 7 A flowchart of a sixth embodiment of a method for dynamic monitoring and assessment of the emergency response risk of a hazardous chemicals fire accident provided in this embodiment;

[0081] Figure 8 A device for dynamic monitoring and assessment of the emergency response risk of hazardous chemicals fire accidents provided in this embodiment;

[0082] Fig. 9 This embodiment provides a device for dynamic monitoring and assessment of the emergency response risks of hazardous chemicals fire accidents.

[0083] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0084] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0085] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0086] In the prior art, since the risk points in the emergency plan are evaluated by experts, and since the expert evaluation mainly relies on the subjective judgment of the experts, some risk factors will be ignored in the evaluation process, and the expert evaluation cannot understand the changes in the situation at the fire accident site in real time, which makes it impossible to accurately identify all potential risk factors during the accident.

[0087] Based on this, the inventive concept of the present application is to provide a method for dynamic monitoring and assessment of the risks of emergency response to hazardous chemical fire accidents. By constructing a hierarchical control model for emergency plan information, risk factor information for emergency response based on emergency plan information is extracted according to the hierarchical control model, so that the process of assessing risk factors is more objective and scientific, so as to identify all risk factors, and issue risk warnings based on risk factor information and target risk factors at the current accident site, so as to identify potential risk factors and issue warnings when accidents occur.

[0088] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0089] Figure 1 The flowchart of the first embodiment of a method for dynamic monitoring and assessment of the emergency response risk of hazardous chemicals fire accidents provided in this embodiment is as follows: Figure 1 As shown, the method comprises the following steps:

[0090] S101: Obtain emergency plan information for at least one hazardous chemical fire accident.

[0091] In this embodiment, by collecting and organizing emergency plan information for hazardous chemicals fire accidents, the fire accident risk analysis, emergency-related departments, emergency response processes, tasks and resources in the emergency plan information are obtained, as well as the connection between the various response departments, the collaborative tasks of this emergency department and other emergency departments, the independent resources of this emergency department and the collaborative resources of other departments, etc.

[0092] S102: Generate an emergency response process and emergency response entity information according to the emergency plan information. The emergency response process includes: multiple emergency response actions executed in sequence for at least one hazardous chemical fire accident. The emergency response entity information includes: emergency response entity identification and emergency response entity responsibilities.

[0093] In this embodiment, after obtaining the emergency plan information of the hazardous chemical fire accident, the emergency handling process and emergency handling entity information are obtained by combing the emergency plan information. The emergency handling process is a plurality of emergency handling behaviors sequentially executed for the hazardous chemical fire accident; the emergency handling entity information includes: emergency handling entity identification and emergency handling entity responsibilities. The emergency handling entity identification refers to each specific role or department involved in the emergency response, and is distinguished by a unique identification or name. The emergency handling entity responsibilities are the specific tasks and responsibilities that each emergency handling entity should undertake during the emergency response process.

[0094] Figure 2 The following is the emergency response process for hazardous chemicals fire accidents: Figure 2 As shown in the figure, when the inspection personnel find that the hazardous chemical storage tank has leaked and burned, the inspection personnel will immediately report to the emergency command center, activate the workshop alarm device to warn the factory area, and call 120 and the fire emergency number to obtain external rescue forces. After obtaining the information of the leak and burning incident of the hazardous chemical storage tank, the emergency command center will conduct accident analysis, activate the emergency plan, and mobilize resources to deal with the leak and burning accident site of the hazardous chemical storage tank. After arriving at the scene of the leak and burning accident of the hazardous chemical storage tank, each emergency team will immediately carry out emergency disposal work within their duties, such as rescuing injured persons, conducting warning traffic control, isolating and protecting nearby devices, etc. The most important thing is to determine the leakage site, cut off the regional power supply, extinguish the fire on the device, and transfer the materials in the leaking site until the equipment maintenance is completed and the accident is effectively controlled. After that, the aftermath and emergency recovery work will be carried out. After all the work is completed, the emergency work will end.

[0095] exist Figure 2 In the mentioned emergency response process, the entity information of emergency response is as follows: patrol personnel, when discovering a tank leakage and combustion incident, immediately report it to the emergency command center, activate the workshop alarm device to warn the factory area, and call 120 and the fire emergency number to obtain external rescue forces; the emergency command center, after obtaining the incident information, conducts accident analysis, activates the emergency plan, and mobilizes resources to the accident site for disposal; the workshop alarm device, when an accident occurs, is automatically or manually triggered to send a warning signal to personnel in the factory area; external rescue, provides medical first aid and fire fighting support, and assists the enterprise emergency team in handling the accident; the on-site rescue team is responsible for on-site emergency rescue work, such as fire extinguishing, leak control, and first aid for the wounded; the safety alert team is responsible for the safety alert at the accident site to prevent unrelated personnel from entering the dangerous area; the environmental monitoring team is responsible for monitoring the accident site and the surrounding environment and assessing the environmental impact; the medical rescue team is responsible for providing emergency first aid to the injured and transferring them to the hospital in a timely manner according to the injury.

[0096] S103: Acquire a feedback control loop, which includes: a control entity, an execution entity, and a feedback entity. The control entity is used to send control instructions, the execution entity is used to execute the emergency handling behavior corresponding to the control instruction, and the feedback entity is used to feed back the execution status information of the emergency handling behavior to the control entity.

[0097] In this embodiment, the feedback control loop is a basic component in the hierarchical control model. The feedback control loop includes: a control entity, an execution entity and a feedback entity. The control entity is used to send control instructions. The execution entity is the executor of the control instructions and is used to execute the emergency handling behavior corresponding to the control instructions. The feedback entity collects the execution status information of the emergency handling behavior of the execution entity and feeds back the execution status information of the emergency handling behavior to the control entity.

[0098] S104: Generate a hierarchical control model according to the emergency handling process, the emergency handling entity information and the feedback control loop. The hierarchical control model includes: each emergency handling entity and the interaction relationship between each emergency handling entity when executing the emergency handling behavior.

[0099] In this embodiment, a hierarchical control model is generated based on the emergency handling process, emergency handling entity information and feedback control loop obtained as described above, wherein the hierarchical control model includes: each emergency handling entity and the interaction relationship between each emergency handling entity when performing emergency handling behaviors.

[0100] S105: Extract risk factor information for emergency response based on emergency plan information according to the hierarchical control model.

[0101] In this embodiment, risk factor information is extracted based on the hierarchical control model when emergency handling is performed based on emergency plan information, and can be analyzed through the following scenarios, namely, risk scenarios caused by incomplete control loops, risk scenarios caused by the lack or conflict of safety-related responsibilities, and risk scenarios caused by lack of coordination or consistency among multiple control entities. According to the three scenarios, risk factor information can be analyzed from the following questions: whether the hierarchical control model is complete, that is, whether each control loop meets the target conditions, action conditions, model conditions, and observability conditions; whether the system-level safety responsibilities are implemented, or whether there are deficiencies; whether the responsibilities of managers conflict with safety responsibilities; and whether multiple control entities or execution entities have the same safety responsibilities.

[0102] S106: Issue risk warning based on risk factor information and target risk factors at the current accident site.

[0103] In this embodiment, risk warning is performed on target risk factors at the accident site through the obtained risk factor information.

[0104] In this embodiment, by acquiring emergency plan information for at least one hazardous chemical fire accident, generating an emergency handling process and emergency handling entity information based on the emergency plan information, and then acquiring a feedback control loop, generating a hierarchical control model based on the emergency handling process, the emergency handling entity information, and the feedback control loop, extracting risk factor information when performing emergency handling based on the emergency plan information based on the hierarchical control model, and performing risk warnings based on the risk factor information and the target risk factors of the current accident site. Compared with the prior art of judging the risk points appearing in the emergency plan through expert evaluation, this application obtains and generates a hierarchical control model, and extracts risk factor information when performing emergency handling based on the emergency plan information based on the hierarchical control model, making the process of extracting risk factors more objective and scientific, so as to identify all risk factors, and then perform risk warnings based on the risk factor information and the target risk factors of the current accident site, so as to identify potential risk factors and issue warnings when an accident occurs.

[0105] Figure 3 The flowchart of the second embodiment of the method for dynamic monitoring and assessment of the emergency disposal risk of hazardous chemicals fire accidents provided in this embodiment is as follows: Figure 3 As shown in the above Figure 1 Based on the illustrated embodiment, a specific implementation of step S105 is as follows:

[0106] S301: Analyze the hierarchical control model to obtain the first risk factor information existing in the emergency handling process, the first risk factor information includes: risk factors, risk scenarios corresponding to the risk factors and safety constraints corresponding to the risk factors, the safety constraints indicate the conditions under which the risk factors do not present risks.

[0107] In this embodiment, after obtaining the hierarchical control model, the hierarchical control model is analyzed to obtain the first risk factor information existing in the emergency handling process, and the first risk factor information includes: risk factors, risk scenarios corresponding to the risk factors, and safety constraints corresponding to the risk factors, and the safety constraints indicate the conditions under which the risk factors do not present risks. For example, when the obtained hierarchical control model is: the emergency handling process and emergency handling entity obtained based on the emergency plan information of hazardous chemicals fire accidents, combined with the hierarchical control model obtained by the feedback control loop, the hierarchical control model is analyzed to obtain the first risk factor information existing in the emergency handling process: risk factor: information transmission delay; the risk scenario corresponding to the risk factor is: after the inspector discovered the tank leakage and combustion incident, due to communication equipment failure, signal interference or human negligence, the information was not reported to the emergency command center in time; the safety constraint corresponding to the risk factor is: in addition to the main communication equipment, a backup communication channel should also be established, such as a walkie-talkie, an emergency broadcast system, etc., to ensure that information can still be transmitted when the main communication equipment fails.

[0108] S302: Obtain second risk factor information corresponding to each risk factor from a preset risk database, where the second risk factor information includes at least one of the following: risk factor, risk level, response strategy, risk handling entity involved in the risk factor, and emergency handling resources involved in the risk factor. The risk level is used to indicate the probability of occurrence and / or severity of the risk factor.

[0109] In this embodiment, the preset risk database is a risk database established in the process of risk identification of fire accidents in chemical enterprises. The preset risk database includes: risk factors, risk levels, response strategies, risk processing entities involved in risk factors, and emergency processing resources involved in risk factors. The risk level is used to indicate the probability and / or severity of the risk factor. For example, the risk factor is information transmission delay; the risk level is high, and the response strategy is to regularly check the communication equipment; the risk processing entities involved in the risk factor are inspectors, emergency command centers, and emergency teams; and the emergency processing resources involved in the risk factor are communication equipment.

[0110] S303: Generate risk factor information according to the first risk factor information and the second risk factor information.

[0111] In this embodiment, first risk factor information obtained from the hierarchical control model and second risk factor information obtained from a preset risk database are obtained, and the first risk factor information and the second risk factor information are merged to generate risk factor information.

[0112] S304: Storing the risk factor information in the monitoring database of the monitoring platform.

[0113] In this embodiment, the risk factor information obtained by merging the first risk factor information and the second risk factor information is stored in a database of the monitoring platform.

[0114] In this embodiment, by obtaining the first risk factor and the second risk factor, and storing the first risk factor and the second risk factor in the database of the monitoring platform, when an accident occurs, the monitored risk factors can be compared with the risk factors in the database to obtain potential risk factor information.

[0115] Figure 4 The flowchart of the third embodiment of the method for dynamic monitoring and assessment of the emergency disposal risk of hazardous chemicals fire accidents provided in this embodiment is as follows: Figure 1 or Figure 3 Based on the illustrated embodiment, a specific implementation of step S106 is as follows:

[0116] S401: Collect accident scene data.

[0117] In this embodiment, data from the accident scene can be collected in real time through various sensors and monitoring equipment at the accident scene, such as fire scene temperature, smoke detection, gas concentration, infrared thermal imaging and other data information.

[0118] S402: Input the accident scene data into a preset neural network model for data analysis, so that the neural network model obtains target risk factor information corresponding to the accident scene data from the monitoring database of the monitoring platform.

[0119] In this embodiment, before inputting the accident scene data into the preset neural network model, the collected accident scene data is first preprocessed to improve the analysis efficiency of the neural network model, and the preprocessed data is input into the preset neural network model so that the neural network model can obtain the target risk factor information corresponding to the accident scene data from the monitoring database of the monitoring platform.

[0120] S403: Issue risk warning on the monitoring platform based on target risk factor information.

[0121] In this embodiment, a risk warning is performed on the monitoring platform based on the target risk factor information corresponding to the accident scene data obtained from the preset neural network. That is, when the monitoring results show that the constraint conditions corresponding to the risk factors are not met, the monitoring platform will issue a risk warning. For example, when the smoke concentration collected at the accident scene rises and the constraint condition is that the number of individual protective equipment is insufficient, the monitoring platform will issue a risk warning.

[0122] In this embodiment, by collecting accident scene data, the accident scene data is input into a preset neural network model for data analysis, so that the neural network model obtains the target risk factor information corresponding to the accident scene data from the monitoring database of the monitoring platform, and finally performs risk warning on the monitoring platform based on the target risk factor information. The preset neural network model can quickly process the input accident scene data and perform risk analysis immediately after the data collection is completed, thereby realizing real-time warning of potential risks.

[0123] Figure 5 The present invention provides a flow chart of a fourth embodiment of a method for dynamic monitoring and assessment of the risk of emergency disposal of hazardous chemicals fire accidents, the method comprising the following steps:

[0124] S501: Convert the hierarchical control model into a system module diagram described in a system modeling language.

[0125] In this embodiment, the hierarchical control model is converted into a system module diagram described by the Systems Modeling Language (SysML).

[0126] S502: Storing the system module diagram in the monitoring database of the visual dynamic monitoring platform.

[0127] In this embodiment, after the hierarchical control model is converted into a system module diagram described by the system modeling language, the system module diagram needs to be stored in the monitoring database of the visual dynamic monitoring platform by establishing a corresponding data structure in the database.

[0128] S503: Conduct risk warning on the monitoring platform based on target risk factor information, including:

[0129] S504: Determine whether the target risk factor in the target risk factor satisfies the safety constraint condition.

[0130] In this embodiment, the safety constraint conditions are first determined according to the risk factor information. For example, the safety constraint conditions include: a threshold of the risk factor, a duration of the risk factor, and an impact range of the risk factor.

[0131] S505: If the target risk factor does not satisfy the corresponding safety constraint condition, a system module diagram is displayed on the monitoring platform, and warning information corresponding to the target risk factor is displayed in the system module diagram.

[0132] In this embodiment, when the target risk factor does not meet the safety constraint conditions, the monitoring platform will retrieve and display the system module diagram related to the current risk, which helps users quickly understand the position and impact scope of the risk in the system structure. In the system module diagram, the warning information corresponding to the target risk factor is displayed in a striking manner, such as highlighting, pop-up window, etc.

[0133] In this embodiment, by comparing risk factor information with safety constraint conditions, the system can determine in real time whether the risk triggers a warning condition, thereby improving the timeliness and accuracy of risk warnings, displaying a system module diagram on the monitoring platform, and presenting warning information in a striking manner, so that the risk location and impact range are clearly visible, which helps to quickly locate the problem and make an effective response.

[0134] Figure 6 The flowchart of the fifth embodiment of the method for dynamic monitoring and assessment of the emergency disposal risk of hazardous chemicals fire accidents provided in this embodiment is as follows: Figure 5 Based on the embodiment shown, the specific implementation method of displaying the warning information corresponding to the target risk factor in the system module diagram in step S505 is:

[0135] S601: Extract risk scenarios of target risk factors from target risk factor information.

[0136] In this embodiment, it is necessary to parse and extract specific risk scenarios of target risk factors from target risk factor information. Risk scenarios refer to specific situations or states where risk factors occur, which describe how risk factors affect the system, when they occur, and possible consequences.

[0137] S602: Determine the warning position corresponding to the risk scenario of the target risk factor in the system module diagram.

[0138] In this embodiment, after the risk scenario of the target risk factor is determined, the warning position corresponding to the risk scenario of the target risk factor in the system module diagram is determined in the system module diagram.

[0139] S603: Displaying warning information corresponding to the target risk factor at the warning position in the system module diagram, where the warning information includes at least one of the first risk factor information and / or the second risk factor information.

[0140] In this embodiment, after the warning location is determined, it is necessary to display the warning information corresponding to the target risk factor at the warning location, and display at least one of the first risk factor information or the second risk factor information, that is, display the risk factor, the risk scenario corresponding to the risk factor, the safety constraint condition corresponding to the risk factor, the risk level, the response strategy, the risk handling entity involved in the risk factor, and the emergency handling resources involved in the risk factor.

[0141] In this embodiment, the risk scenario of the target risk factor is extracted from the target risk factor information, the warning position corresponding to the risk scenario of the target risk factor in the system module diagram is determined, the warning information corresponding to the target risk factor is displayed at the warning position in the system module diagram, and the risk scenario and warning information are displayed in a graphical manner in the system module diagram, so that relevant personnel can intuitively understand the location, nature and possible impact range of the risk, facilitate the rapid formulation of emergency plans, and improve the rate of emergency response.

[0142] Figure 7 The flowchart of the sixth embodiment of the method for dynamic monitoring and assessment of the emergency disposal risk of hazardous chemicals fire accidents provided in this embodiment is as follows: Figure 1 , Figure 3 , Figure 4 , Figure 5 as well as Figure 6 Based on any of the illustrated embodiments, the specific implementation method of generating a hierarchical control model according to the emergency processing process, the emergency processing entity information and the feedback control loop in step S104 is:

[0143] S701: For any emergency handling entity identifier, determine the emergency handling behavior corresponding to the emergency handling entity identifier from the emergency handling process according to the emergency handling entity responsibilities.

[0144] In this embodiment, firstly, all emergency handling entity identifiers are determined, and then the emergency handling behaviors corresponding to the emergency handling entity identifiers are determined from the emergency handling process according to the responsibilities of the emergency handling entities. Figure 2 The emergency response process for hazardous chemicals fire accidents shown in the figure includes all emergency response entity identifiers and corresponding emergency response behaviors:

[0145] Inspection personnel: If a tank leak or burn is discovered, they should immediately report it to the emergency command center, activate the workshop alarm device to issue an early warning to the factory area, and call 120 and the fire emergency number to obtain external rescue forces;

[0146] Emergency Command Center: After obtaining the incident information, conduct accident analysis, activate the emergency plan, and mobilize resources to the accident site for disposal;

[0147] Workshop alarm device: automatically or manually triggered when an accident occurs, sending a warning signal to personnel in the factory area;

[0148] External rescue: provide medical first aid and fire fighting support, and assist the enterprise emergency response team in handling accidents;

[0149] On-site rescue team: responsible for on-site emergency rescue work, such as fire extinguishing, leak control, first aid for the wounded, etc.;

[0150] Safety alert team: responsible for safety alert at the accident site to prevent irrelevant personnel from entering the dangerous area;

[0151] Environmental monitoring team: responsible for monitoring the accident site and surrounding environment and assessing environmental impact;

[0152] Medical rescue team: responsible for providing emergency rescue to the injured and transferring them to the hospital in a timely manner according to the injury;

[0153] Equipment maintenance team: repair or replace damaged equipment;

[0154] Safety management department: investigate the cause of the accident, make rectification suggestions, and supervise rectification measures.

[0155] S702: Determine the emergency handling entity type corresponding to the emergency handling entity identifier according to the emergency handling behavior corresponding to the emergency handling entity identifier, where the emergency handling entity type is a control entity, an execution entity, or a feedback entity;

[0156] In this embodiment, the emergency handling entity type corresponding to the emergency handling entity identifier is determined according to the emergency handling behavior corresponding to the emergency handling entity identifier. For example, the control entity includes: emergency command center; the execution entity includes patrol personnel, external rescue, on-site rescue team, safety alert team, environmental monitoring team, medical rescue team, equipment maintenance team and safety management department; the feedback entity includes workshop alarm device.

[0157] S703: Determine the interaction relationship between the emergency processing entities when executing the emergency processing behavior according to the emergency processing behavior and the emergency processing entity type corresponding to each emergency processing entity identifier.

[0158] In this embodiment, the interaction relationship between each emergency response entity when executing the emergency response behavior is determined based on the emergency response behavior and the emergency response entity type corresponding to each emergency response entity identifier. For example, after the inspection personnel find the abnormality, they report it to the emergency command center and activate the workshop alarm device; after receiving the information, the emergency command center activates the plan, mobilizes the on-site rescue team, the safety alert team, the environmental monitoring team, the medical rescue team, and requests external rescue through external communications. The on-site rescue team, the safety alert team, the environmental monitoring team, the medical rescue team, and the external rescue perform their respective tasks and feedback the execution status to the emergency command center. After the accident is controlled, the emergency command center organizes the equipment maintenance team and the safety management department to carry out post-accident and recovery work.

[0159] S704: Construct a hierarchical control model based on the interaction relationship between emergency response entities when performing emergency response behaviors.

[0160] In this embodiment, a hierarchical control model is constructed based on the interactive relationship between emergency response entities when performing emergency response behaviors. For example, the hierarchical control model is the information perception and initial response layer: including patrol personnel and workshop alarm devices, responsible for discovering and initially responding to events; decision-making and command layer: the emergency command center is the core, responsible for receiving information, analysis, decision-making, mobilizing resources and issuing instructions. Execution and disposal layer: the on-site rescue team, safety alert team, environmental monitoring team, medical rescue team and external rescue are responsible for performing specific emergency response tasks. Aftermath and recovery layer: the emergency command center coordinates the equipment maintenance team and the safety management department to carry out equipment repair, accident investigation, implementation of rectification measures and aftermath work after the accident.

[0161] In this embodiment, for any emergency handling entity identifier, the emergency handling behavior corresponding to the emergency handling entity identifier is determined from the emergency handling process according to the emergency handling entity responsibilities, the emergency handling entity type corresponding to the emergency handling entity identifier is determined according to the emergency handling behavior corresponding to the emergency handling entity identifier, and the interaction relationship between each emergency handling entity when performing the emergency handling behavior is determined according to the emergency handling behavior and the emergency handling entity type corresponding to each emergency handling entity identifier, and a hierarchical control model is constructed according to the interaction relationship between the emergency handling entities when performing the emergency handling behavior. By constructing a hierarchical control model, the process of extracting risk factors is made more objective and scientific, so as to identify all risk factors.

[0162] Figure 8 A device for dynamic monitoring and evaluation of the emergency response risk of hazardous chemicals fire accidents provided in this embodiment. A device for analyzing the risk of handling hazardous chemicals fire accidents provided in this application includes: an acquisition module 81 and a processing module 82; wherein,

[0163] The acquisition module 81 is used to acquire emergency plan information for at least one hazardous chemical fire accident; the processing module 82 is used to generate an emergency handling process and emergency handling entity information based on the emergency plan information, the emergency handling process includes: multiple emergency handling behaviors sequentially executed for at least one hazardous chemical fire accident, and the emergency handling entity information includes: emergency handling entity identification and emergency handling entity responsibilities; the acquisition module 81 is used to acquire a feedback control loop, the feedback control loop includes: a control entity, an execution entity, and a feedback entity, the control entity is used to send a control instruction, the execution entity is used to execute the emergency handling behavior corresponding to the control instruction, and the feedback entity is used to feedback the execution status information of the emergency handling behavior to the control entity; the processing module 82 is used to generate a hierarchical control model based on the emergency handling process, the emergency handling entity information and the feedback control loop, the hierarchical control model includes: each emergency handling entity and the interaction relationship between each emergency handling entity when executing the emergency handling behavior; the processing module 82 is used to extract risk factor information when performing emergency handling based on the emergency plan information according to the hierarchical control model; the processing module 82 is also used to perform risk warnings based on the risk factor information and the target risk factors of the current accident site.

[0164] Fig. 9 This is a structural diagram of a first embodiment of a dangerous chemical fire accident emergency response risk dynamic monitoring and assessment device provided in the present application. Fig. 9 The server provided in this embodiment includes: at least one processor 91 and a memory 92. The processor 91 and the memory 92 are connected via a bus 93.

[0165] The specific implementation process of the processor 91 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0166] In the above Fig. 9 In the illustrated embodiment, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0167] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-volatile Memory, NVM), such as at least one disk memory.

[0168] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0169] The present application also provides a computer-readable storage medium on which computer execution instructions are stored. When a processor executes the computer execution instructions, a method for dynamic monitoring and assessment of the risk of emergency response to hazardous chemical fire accidents as described above is implemented.

[0170] The computer-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The computer-readable storage medium may be any available medium that can be accessed by a general or special purpose computer.

[0171] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0172] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0173] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0174] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0175] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0176] The present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it is used to implement the above-mentioned method for dynamic monitoring and assessment of emergency response risks of hazardous chemical fire accidents.

[0177] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0178] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0179] It should be further noted that, although the various steps in the flowchart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowchart may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0180] It should be understood that the above-mentioned device embodiments are only illustrative, and the device of the present application can also be implemented in other ways. For example, the division of units / modules in the above-mentioned embodiments is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units, modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed.

[0181] In addition, unless otherwise specified, each functional unit / module in each embodiment of the present application may be integrated into one unit / module, each unit / module may exist physically separately, or two or more units / modules may be integrated together. The above-mentioned integrated unit / module may be implemented in the form of hardware or in the form of a software program module.

[0182] If the integrated unit / module is implemented in the form of hardware, the hardware may be a digital circuit, an analog circuit, etc. The physical implementation of the hardware structure includes but is not limited to transistors, memristors, etc. If not specifically stated, the processor may be any appropriate hardware processor, such as a CPU, a GPU, an FPGA, a DSP, an ASIC, etc. If not specifically stated, the storage unit may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc.

[0183] If the integrated unit / module is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0184] In the above embodiments, the description of each embodiment has its own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0185] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0186] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for dynamic monitoring and assessment of emergency response risks of hazardous chemicals fire accidents, characterized in that: include: Obtain emergency response plan information for at least one hazardous chemical fire accident; Generate an emergency response process and emergency response entity information according to the emergency plan information, wherein the emergency response process includes: a plurality of emergency response actions sequentially executed for the at least one hazardous chemical fire accident, and the emergency response entity information includes: an emergency response entity identification and emergency response entity responsibilities; Acquire a feedback control loop, the feedback control loop comprising: a control entity, an execution entity, and a feedback entity, the control entity is used to send a control instruction, the execution entity is used to execute an emergency handling behavior corresponding to the control instruction, and the feedback entity is used to feed back execution status information of the emergency handling behavior to the control entity; Generate a hierarchical control model according to the emergency handling process, the emergency handling entity information and the feedback control loop, wherein the hierarchical control model includes: each of the emergency handling entities and the interaction relationship between each of the emergency handling entities when executing the emergency handling behavior; Extracting risk factor information when performing emergency treatment based on the emergency plan information according to the hierarchical control model; A risk warning is issued based on the risk factor information and the target risk factors of the current accident scene.

2. The method according to claim 1, characterized in that The extracting, according to the hierarchical control model, risk factor information for emergency handling based on the emergency plan information includes: Analyzing the hierarchical control model to obtain first risk factor information existing in the emergency handling process, the first risk factor information including: risk factors, risk scenarios corresponding to the risk factors, and safety constraints corresponding to the risk factors, wherein the safety constraints indicate conditions under which the risk factors do not present risks; Acquire second risk factor information corresponding to each of the risk factors from a preset risk database, where the second risk factor information includes at least one of the following: risk factor, risk level, response strategy, risk handling entity involved in the risk factor, and emergency handling resources involved in the risk factor, where the risk level is used to indicate the occurrence probability and / or severity of the risk factor; generating the risk factor information according to the first risk factor information and the second risk factor information; The risk factor information is stored in a monitoring database of the monitoring platform.

3. The method according to claim 2, characterized in that The risk warning is performed according to the risk factor information and the target risk factors of the current accident scene, including: Collect accident scene data; Inputting the accident scene data into a preset neural network model for data analysis, so that the neural network model obtains target risk factor information corresponding to the accident scene data from the monitoring database of the monitoring platform; A risk warning is performed on the monitoring platform according to the target risk factor information.

4. The method according to claim 3, characterized in that Also includes: Converting the hierarchical control model into a system module diagram described in a system modeling language; Storing the system module diagram in a monitoring database of a visual dynamic monitoring platform; The performing risk warning on the monitoring platform according to the target risk factor information includes: determining whether a target risk factor among the target risk factors satisfies the safety constraint condition; If the target risk factor does not satisfy the corresponding safety constraint condition, the system module diagram is displayed on the monitoring platform, and the warning information corresponding to the target risk factor is displayed in the system module diagram.

5. The method according to claim 4, characterized in that Displaying the warning information corresponding to the target risk factor in the system module diagram includes: Extracting the risk scenario of the target risk factor from the target risk factor information; Determine the warning position corresponding to the risk scenario of the target risk factor in the system module diagram; The warning information corresponding to the target risk factor is displayed at the warning position in the system module diagram, and the warning information includes at least one of the first risk factor information and / or the second risk factor information.

6. The method according to any one of claims 1 to 5, characterized in that The generating of a hierarchical control model according to the emergency processing process, the emergency processing entity information and the feedback control loop includes: For any of the emergency handling entity identifiers, determine the emergency handling behavior corresponding to the emergency handling entity identifier from the emergency handling process according to the emergency handling entity responsibilities; Determine the emergency processing entity type corresponding to the emergency processing entity identifier according to the emergency processing behavior corresponding to the emergency processing entity identifier, where the emergency processing entity type is the control entity, the execution entity, or the feedback entity; Determining, according to the emergency handling behaviors corresponding to the emergency handling entity identifiers and the types of the emergency handling entities, the interaction relationship between the emergency handling entities when executing the emergency handling behaviors; A hierarchical control model is constructed according to the interaction relationship between the emergency processing entities when executing the emergency processing behavior.

7. A device for dynamic monitoring and assessment of the emergency response risk of hazardous chemicals fire accidents, characterized in that: include: An acquisition module, used to acquire emergency plan information for at least one hazardous chemical fire accident; A processing module, configured to generate an emergency processing process and emergency processing entity information according to the emergency plan information, wherein the emergency processing process includes: a plurality of emergency processing actions sequentially executed for the at least one hazardous chemical fire accident, and the emergency processing entity information includes: an emergency processing entity identification and emergency processing entity responsibilities; The acquisition module is further used to acquire a feedback control loop, the feedback control loop includes: a control entity, an execution entity, and a feedback entity, the control entity is used to send a control instruction, the execution entity is used to execute the emergency handling behavior corresponding to the control instruction, and the feedback entity is used to feed back the execution status information of the emergency handling behavior to the control entity; The processing module is further used to generate a hierarchical control model according to the emergency processing process, the emergency processing entity information and the feedback control loop, wherein the hierarchical control model includes: each of the emergency processing entities and the interaction relationship between each of the emergency processing entities when executing the emergency processing behavior; The processing module is further used to extract risk factor information when performing emergency processing based on the emergency plan information according to the hierarchical control model; The processing module is also used to issue a risk warning based on the risk factor information and the target risk factors of the current accident scene.

8. A dynamic monitoring and assessment device for emergency response to hazardous chemicals fire accidents, characterized in that: include: Memory and processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the risk analysis method for handling hazardous chemical fire accidents as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method for dynamic monitoring and assessment of the risk of emergency response to hazardous chemical fire accidents as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for dynamic monitoring and assessment of the risk of emergency response to hazardous chemical fire accidents as described in any one of claims 1 to 6 is implemented.

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