WO2021136452A1

WO2021136452A1 - Emergency response plan model generation method and apparatus, and device

Info

Publication number: WO2021136452A1
Application number: PCT/CN2020/141790
Authority: WO
Inventors: 孙占辉; 陈建国; 陈涛; 袁宏永; 苏国锋; 付佳佳; 张志刚; 邓振林; 王凯; 杨传杰; 杜亚娟
Original assignee: 清华大学; 北京辰安科技股份有限公司; 北京辰安信息科技有限公司
Priority date: 2019-12-31
Filing date: 2020-12-30
Publication date: 2021-07-08
Also published as: CN111177284A

Abstract

An emergency response plan model generation method and apparatus, and a device. The method comprises: analyzing emergency response plan historical data according to a pre-established knowledge graph, and extracting emergency response plan target data that satisfies a preset association condition (101); encapsulating the emergency response plan target data according to a preset digital orchestration strategy, and generating an emergency response plan service component (102); and determining, according to the emergency response plan service component, target service component data that matches feature data of a target emergency event, and generating, according to the target service component data, an emergency response plan model corresponding to the target emergency event (103). Therefore, for an emergency event, an emergency response plan can be quickly generated in combination with experiential knowledge; a standardized and systematic solution for quickly developing different types of emergency response plans is provided for plan-developing personnel, so that the operability of emergency response plans is improved.

Description

Method, device and equipment for generating emergency plan model

Cross-references to related applications

This application requires a Chinese patent application filed by Tsinghua University, Beijing Chenan Technology Co., Ltd., and Beijing Chenan Information Technology Co., Ltd. on December 31, 2019, with the title of "emergency plan model generation method, device and equipment" No. "201911421492.0" priority.

Technical field

This application relates to the technical field of data processing, and in particular to a method, device and equipment for generating an emergency plan model.

Background technique

In real life, emergencies such as typhoons and earthquakes occur from time to time. In order to deal with various emergencies, it is usually necessary to formulate emergency plans to achieve timely emergency management, command, and rescue plans for various emergencies.

At present, for all kinds of emergencies, the plan preparers usually give emergency plans based on experience, and the operability needs to be improved.

Summary of the invention

This application aims to solve one of the technical problems in the related technology at least to a certain extent.

To this end, this application proposes an emergency plan model generation method, device, electronic equipment, and storage medium, so as to quickly generate emergency plans based on experience and knowledge in response to emergencies, and provide a standardized and systematic method for plan compilers. The rapid preparation of various emergency response plans has improved the operability of emergency response plans.

The embodiment of the first aspect of the present application proposes a method for generating an emergency plan model, including:

Analyze the historical data of the emergency plan based on the pre-established knowledge map, and extract the target data of the emergency plan that meets the preset associated conditions;

Encapsulate the target data of the emergency plan according to the preset digital layout strategy, and generate the emergency plan business component;

According to the emergency plan business component, target business component data matching the target emergency event feature data is determined, and an emergency plan model corresponding to the target emergency event is generated according to the target business component data.

The emergency plan model generation method of the embodiment of the present application analyzes the historical data of the emergency plan according to the pre-established knowledge map, and extracts the target data of the emergency plan that meets the preset association conditions. Furthermore, the target data of the emergency plan is encapsulated according to the preset digital layout strategy, and the emergency plan business component is generated. Further, the target business component data matching the target emergency feature data is determined according to the emergency plan business component, and the emergency plan model corresponding to the target emergency event is generated based on the target business component data. As a result, the problem of low operability of emergency plans for various emergencies is solved. The emergency plan model is constructed through the target business component data that matches the target emergency feature data, and the emergency plan can be quickly combined with experience and knowledge for emergencies Generate emergency plans, provide a standardized and systematic method for the planners to quickly prepare various emergency plans, and provide technical support for the preparation of digital emergency plans in the context of all disasters and major emergencies. In addition, the emergency plan model can be used as a source of knowledge for training, publicity and promotion of how to deal with emergencies such as earthquakes, which facilitates the work of plan preparation personnel and emergency response personnel.

In addition, the emergency plan model generation method according to the foregoing embodiment of the present application may also have the following additional technical features:

Optionally, before analyzing the historical data of the emergency plan according to the pre-established knowledge graph, the method further includes: collecting industry data and project experience data of emergencies through a web crawler engine to obtain the historical data.

Optionally, the analyzing the historical data of the emergency plan according to the pre-established knowledge graph, and extracting the emergency plan target data that meets the preset association conditions, includes: traversing the knowledge graph to determine the target node that matches the historical data, Acquire the association relationship between the target nodes; determine the historical data that has an association according to the association relationship, and extract the emergency plan target data.

Optionally, before encapsulating the emergency plan target data according to a preset digital layout strategy, the method further includes: standardizing the emergency plan target data.

Optionally, the encapsulating the emergency plan target data according to a preset digital layout strategy to generate emergency plan business components includes: classifying the emergency plan target data according to a classification rule matching the emergency plan scene; Encapsulate according to the classified target data of the emergency plan to generate one or more of organizational business components, emergency response business components, and emergency preparedness business components.

The embodiment of the second aspect of the present application proposes an emergency plan model generation device, including:

The analysis module is used to analyze the historical data of the emergency plan based on the pre-established knowledge map, and extract the target data of the emergency plan that meets the preset associated conditions;

The encapsulation module is used to encapsulate the target data of the emergency plan according to a preset digital layout strategy to generate emergency plan business components;

The generating module is configured to determine target business component data matching the target emergency feature data according to the emergency plan business component, and generate an emergency plan model corresponding to the target emergency event based on the target business component data.

The emergency plan model generation device of the embodiment of the present application constructs an emergency plan model through target business component data that matches the characteristic data of the target emergency event, and can quickly generate an emergency plan based on experience and knowledge in response to an emergency event, providing a plan for plan compilers. A standardized and systematic method of quickly compiling various emergency plans provides technical support for the preparation of digital emergency plans in the context of all disasters and major emergencies.

In addition, the device for generating an emergency plan model according to the foregoing embodiment of the present application may also have the following additional technical features:

Optionally, the device further includes: an acquisition module for collecting industry data and project experience data of emergencies through a web crawler engine to acquire the historical data.

Optionally, the analysis module is specifically configured to: traverse the knowledge graph to determine a target node that matches the historical data, and obtain an association relationship between the target nodes; and determine the existence of associated historical data according to the association relationship , Extract the target data of the emergency plan.

Optionally, the device further includes: a processing module for standardizing the target data of the emergency plan.

Optionally, the encapsulation module is specifically configured to: classify the emergency plan target data according to the classification rules matching the emergency plan scene; encapsulate according to the classified emergency plan target data to generate organizational business components, One or more of emergency handling business components and emergency preparedness business components.

The embodiment of the third aspect of the present application proposes an electronic device, including a processor and a memory; wherein the processor reads the executable program code stored in the memory to run the executable program code corresponding to the executable program code. The program is used to implement the emergency plan model generation method described in the embodiment of the first aspect.

The embodiment of the fourth aspect of the present application proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the emergency plan model generation method as described in the embodiment of the first aspect is implemented.

The additional aspects and advantages of this application will be partly given in the following description, and some will become obvious from the following description, or be understood through the practice of this application.

Description of the drawings

FIG. 1 is a schematic flowchart of a method for generating an emergency plan model provided by an embodiment of the application;

FIG. 2 is a schematic flowchart of another method for generating an emergency plan model provided by an embodiment of the application;

FIG. 3 is a schematic structural diagram of an emergency plan model generation device provided by an embodiment of the application;

Fig. 4 is a schematic structural diagram of another emergency plan model generation device provided by an embodiment of the application.

Detailed ways

The embodiments of the present application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the drawings are exemplary, and are intended to explain the present application, but should not be understood as a limitation to the present application.

The following describes the emergency plan model generation method, device, and equipment of the embodiments of the present application with reference to the accompanying drawings.

Fig. 1 is a schematic flowchart of a method for generating an emergency plan model provided by an embodiment of the application. As shown in Fig. 1, the method includes:

Step 101: Analyze the historical data of the emergency plan according to the pre-established knowledge graph, and extract the target data of the emergency plan that meets the preset association conditions.

In this embodiment, when generating the emergency plan model, the emergency plan historical data may be obtained first. As an example, the historical data of the emergency response plan may include data such as the organization, handling key points, and handling content that respond to various emergencies.

As a possible implementation method, collect emergency industry data and project experience data through a web crawler engine to obtain historical emergency response plan data; as another possible implementation method, collect emergency industry data through document upload Data and project experience data to obtain historical data of emergency plans. Among them, emergencies include but are not limited to disaster scenarios such as typhoons, earthquakes, and fires. Industry data and project experience data include but are not limited to emergency industry standards, emergency regulatory documents, government policy documents, national market conditions, historical cases, project experience, etc. data.

In this embodiment, a pre-built knowledge graph is acquired, where the knowledge graph includes entities involved in an emergency plan scenario and relationships between entities. Furthermore, the historical data of emergency plans is structured through the knowledge graph technology, and the target data of emergency plans that meet the preset association conditions are extracted, so as to obtain the logical relationship, internal connection, and regular experience value between the historical data.

As a possible implementation, traverse the knowledge graph to determine the target node that matches the historical data of the emergency plan, and obtain the association relationship between the target nodes. According to the association relationship between each target node, determine the historical data of the emergency response plan that is associated, and extract the target data of the emergency response plan.

In an embodiment of the present application, the target data of the emergency plan is standardized to realize the standardized definition of the target data. As an example, a standardized mapping relationship table can be set in advance, where the standardized mapping relationship table includes non-standard emergency plan data and standard emergency plan data corresponding to the non-standard emergency plan data, and further, obtains the text of the emergency plan target data, Standardize the target data of the emergency plan according to the standardized mapping table, and obtain the standard emergency plan data. As a result, the standards used by different agencies in the field of emergency plan are often inconsistent, leading to the situation that the data of emergency plan is diverse and the coverage of terminology standards is not comprehensive. By standardizing the target data of emergency plan, a micro-element of emergency plan data is provided. The management method is highly versatile.

Step 102: Encapsulate the target data of the emergency plan according to the preset digital layout strategy, and generate the emergency plan business component.

In this embodiment, the encapsulation of emergency plan business components can be implemented based on data arrangement technology, where the emergency plan business components include but are not limited to organizational business components, emergency handling business components, and emergency preparedness business components.

As a possible implementation, classification rules are set according to the emergency plan scenario, and the emergency plan target data is classified according to the preset classification rules. Furthermore, encapsulation is performed according to the classified target data of the emergency plan to generate one or more of organizational business components, emergency response business components, and emergency preparedness business components.

Step 103: Determine target business component data matching the target emergency feature data according to the emergency plan business component, and generate an emergency plan model corresponding to the target emergency event based on the target business component data.

In this embodiment, after the emergency plan business component is encapsulated and generated, the target emergency can be selected, and the target business component data can be determined based on the encapsulated emergency plan business component, where the target business component data matches the target emergency feature data. Furthermore, an emergency plan model is constructed according to the target business component data, thereby generating an emergency plan model corresponding to the target emergency event. Therefore, according to the existing historical data of emergency plans and the updated historical data of emergency plans, emergency plan models are trained for different emergencies, so that the emergency plan models can quickly generate corresponding emergency plans for various emergencies.

As an example, different emergencies correspond to different characteristic data, for example, the characteristic data of an earthquake event and a typhoon event are different. Taking the target emergency as a fire event as an example, the emergency plan business component includes business component data. For example, the organization’s business component can include firefighting agency data, rescue agency data, etc., according to the organization’s business components to determine the fire protection that matches the fire event Institutional data, based on the fire-fighting agency data and fire incidents to generate corresponding emergency plan models. It is understandable that since different emergencies correspond to different characteristic data, by determining the target business component data that matches the target emergent event characteristic data, the emergency plan model corresponding to the target emergent event is generated according to the target business component data, so that The emergency plan model can generate corresponding emergency plans according to different emergencies.

As another example, for the same target emergency, different time periods/different disaster levels of the target emergency can correspond to different characteristic data, such as scenarios within one hour of an earthquake, two hours of an earthquake, etc. The characteristic data of the same target emergency event is different, and the matched target business component data is also different. Take the emergency response business component as an example. For fire incidents caused by gasoline, the matched target business component data includes foam fire extinguishers, carbon dioxide fire extinguishers, and dry powder fire extinguishers. For fire incidents caused by electrical appliances, the matched target business component data includes Carbon dioxide fire extinguisher, dry powder fire extinguisher or dry sand, etc. By acquiring the target business component data matching the target emergency feature data, the corresponding emergency plan model is generated according to the target business component data, so that the emergency plan model can generate the corresponding emergency plan for the emergency scenario.

The emergency plan model generation method of the embodiment of the present application analyzes the historical data of the emergency plan according to the pre-established knowledge map, and extracts the target data of the emergency plan that meets the preset association conditions. Furthermore, the target data of the emergency plan is encapsulated according to the preset digital layout strategy, and the emergency plan business component is generated. Further, the target business component data matching the target emergency feature data is determined according to the emergency plan business component, and the emergency plan model corresponding to the target emergency event is generated according to the target business component data. As a result, the problem of low operability of emergency plans for various emergencies is solved. The emergency plan model is constructed through the target business component data that matches the target emergency feature data, and the emergency plan can be quickly combined with experience and knowledge for emergencies Generate emergency plans, provide a standardized and systematic method for the planners to quickly prepare various emergency plans, and provide technical support for the preparation of digital emergency plans in the context of all disasters and major emergencies. In addition, the emergency plan model can be used as a source of knowledge for training, publicity and promotion of how to deal with emergencies such as earthquakes, which facilitates the work of plan preparation personnel and emergency response personnel.

Based on the foregoing embodiment, in order to make the foregoing process more clear to those skilled in the art, the following is an example for description with reference to FIG. 2.

1) Data collection: Collect professional data, industry data, and project experience data in the field of emergency plans through technologies such as web crawlers and document uploads, and store and manage the collected data.

2) Analyze the data collected in step 1 through the knowledge graph technology to obtain the logical relationship, internal connection, and regular experience value between the data.

3) Standardize the analyzed data. For example, the emergency plan target data can be standardized according to relevant international standards, domestic standards, and various professional standards, and the emergency plan target data can also be standardized based on actual application experience. Thus, a micro-management method for emergency plan data is provided, which has high versatility.

4) Encapsulate the business components of the digital emergency plan through data orchestration technology. For example, the business components of the emergency plan include organizational business components, emergency response business components, and emergency preparedness business components.

5) Based on the business components encapsulated in step 4, select data that matches the characteristics of the emergency, and construct a digital emergency plan model for the emergency based on the selected data.

6) Model optimization: After acquiring new project experience, user data, and industry experience data, summarize the newly collected data from lightning strikes, and repeat the above steps 1-5 to optimize the emergency plan model. Therefore, it is possible to quickly generate emergency plans based on experience and knowledge for emergencies, and provide plan compilers with a standardized and systematic method for quickly preparing various emergency plans, which is a digital emergency response in the context of all disasters and major emergencies. The preparation of the plan provides technical support.

In order to implement the above-mentioned embodiments, this application also proposes an emergency plan model generation device.

FIG. 3 is a schematic structural diagram of an emergency plan model generation device provided by an embodiment of the application. As shown in FIG. 3, the emergency plan model generation device includes: an analysis module 10, an encapsulation module 20, and a generation module 30.

Among them, the analysis module 10 is used to analyze historical data of the emergency plan according to the pre-established knowledge map, and extract the target data of the emergency plan that meets the preset association conditions.

The encapsulation module 20 is used to encapsulate the target data of the emergency plan according to a preset digital layout strategy to generate emergency plan business components.

The generating module 30 is configured to determine target business component data matching the target emergency feature data according to the emergency plan business component, and generate an emergency plan model corresponding to the target emergency event based on the target business component data.

On the basis of FIG. 3, the emergency plan model generating device shown in FIG. 4 further includes: an acquisition module 40 and a processing module 50.

Wherein, the acquisition module 40 is used to collect industry data and project experience data of emergencies through a web crawler engine to acquire the historical data.

The processing module 50 is used for standardizing the target data of the emergency plan.

In an embodiment of the present application, the analysis module 10 is specifically configured to: traverse the knowledge graph to determine the target node that matches the historical data, and obtain the association relationship between the target nodes; and determine the existence of the target node according to the association relationship. The associated historical data is used to extract the target data of the emergency plan.

In an embodiment of the present application, the encapsulation module 20 is specifically configured to: classify the target data of the emergency plan according to the classification rules matching the scene of the emergency plan; encapsulate the target data of the emergency plan after the classification to generate an organization One or more of institutional business components, emergency response business components, and emergency preparedness business components.

It should be noted that the explanation of the emergency plan model generation method in the foregoing embodiment is also applicable to the emergency plan model generation device of this embodiment, and will not be repeated here.

The emergency plan model generation device of the embodiment of the present application analyzes the historical data of the emergency plan according to the pre-established knowledge map, and extracts the target data of the emergency plan that meets the preset association conditions. Furthermore, the target data of the emergency plan is encapsulated according to the preset digital layout strategy, and the emergency plan business component is generated. Further, the target business component data matching the target emergency feature data is determined according to the emergency plan business component, and the emergency plan model corresponding to the target emergency event is generated according to the target business component data. As a result, the problem of low operability of emergency plans for various emergencies is solved. The emergency plan model is constructed through the target business component data that matches the target emergency feature data, and the emergency plan can be quickly combined with experience and knowledge for emergencies Generate emergency plans, provide a standardized and systematic method for the planners to quickly prepare various emergency plans, and provide technical support for the preparation of digital emergency plans in the context of all disasters and major emergencies. In addition, the emergency plan model can be used as a source of knowledge for training, publicity and promotion of how to deal with emergencies such as earthquakes, which facilitates the work of plan preparation personnel and emergency response personnel.

In order to implement the above-mentioned embodiments, this application also proposes an electronic device including a processor and a memory; wherein the processor reads the executable program code stored in the memory to run a program corresponding to the executable program code for use in Realize the emergency plan model generation method as described in any of the foregoing embodiments.

In order to implement the above-mentioned embodiments, the present application also proposes a computer program product, which when the instructions in the computer program product are executed by a processor, realizes the emergency plan model generation method as described in any of the foregoing embodiments.

In order to implement the foregoing embodiments, the present application also proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the emergency plan model generation method as described in any of the foregoing embodiments is implemented.

In the description of this specification, descriptions with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" etc. mean specific features described in conjunction with the embodiment or example , The structure, materials, or characteristics are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the described specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine the different embodiments or examples and the features of the different embodiments or examples described in this specification without contradicting each other.

In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present application, "a plurality of" means at least two, such as two, three, etc., unless specifically defined otherwise.

Any process or method description in the flowchart or described in other ways herein can be understood as a module, segment or part of code that includes one or more executable instructions for implementing specific logical functions or steps of the process , And the scope of the preferred embodiments of the present application includes additional implementations, which may not be in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order according to the functions involved. This should It is understood by those skilled in the art to which the embodiments of the present application belong.

The logic and/or steps represented in the flowchart or described in other ways herein, for example, can be considered as a sequenced list of executable instructions for implementing logic functions, and can be embodied in any computer-readable medium, For use by instruction execution systems, devices, or equipment (such as computer-based systems, systems including processors, or other systems that can fetch and execute instructions from instruction execution systems, devices, or equipment), or combine these instruction execution systems, devices Or equipment. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by an instruction execution system, device, or device or in combination with these instruction execution systems, devices, or devices. More specific examples (non-exhaustive list) of computer readable media include the following: electrical connections (electronic devices) with one or more wiring, portable computer disk cases (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable and editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because it can be used, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other suitable media if necessary. The program is processed in a manner to obtain the program electronically, and then stored in the computer memory.

It should be understood that each part of this application can be implemented by hardware, software, firmware, or a combination thereof. In the foregoing embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if it is implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of the following technologies known in the art: Discrete logic circuits, application-specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

A person of ordinary skill in the art can understand that all or part of the steps carried in the method of the foregoing embodiments can be implemented by a program instructing relevant hardware to complete. The program can be stored in a computer-readable storage medium. When executed, it includes one of the steps of the method embodiment or a combination thereof.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or software functional modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

The aforementioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above-mentioned embodiments are exemplary and should not be construed as limiting the present application. A person of ordinary skill in the art can comment on the foregoing within the scope of the present application. The embodiment undergoes changes, modifications, substitutions, and modifications.

Claims

A method for generating an emergency plan model is characterized in that it comprises the following steps:

Analyze the historical data of the emergency plan based on the pre-established knowledge map, and extract the target data of the emergency plan that meets the preset associated conditions;

Encapsulate the target data of the emergency plan according to the preset digital layout strategy, and generate the emergency plan business component;

According to the emergency plan business component, target business component data matching the target emergency event feature data is determined, and an emergency plan model corresponding to the target emergency event is generated according to the target business component data.
The method according to claim 1, characterized in that, before analyzing the historical data of emergency plans according to the pre-established knowledge graph, the method further comprises:

The historical data is obtained by collecting industry data of emergencies and project experience data through a web crawler engine.
The method according to claim 1 or 2, wherein the analyzing historical data of the emergency plan according to the pre-established knowledge graph, and extracting the target data of the emergency plan that meets the preset association conditions, comprises:

Traverse the knowledge graph to determine target nodes that match the historical data, and obtain the association relationship between the target nodes;

According to the association relationship, it is determined that there is associated historical data, and the emergency plan target data is extracted.
The method according to any one of claims 1 to 3, wherein before encapsulating the target data of the emergency plan according to a preset digital arrangement strategy, the method further comprises:

Standardize the target data of the emergency plan.
The method according to any one of claims 1 to 4, wherein the encapsulating the target data of the emergency plan according to a preset digital layout strategy to generate an emergency plan business component comprises:

Classify the target data of the emergency plan according to the classification rules matching the scene of the emergency plan;

Encapsulate according to the classified target data of the emergency plan to generate one or more of organizational business components, emergency response business components, and emergency preparedness business components.
An emergency plan model generation device, which is characterized in that it comprises:

The analysis module is used to analyze the historical data of the emergency plan based on the pre-established knowledge map, and extract the target data of the emergency plan that meets the preset associated conditions;

The encapsulation module is used to encapsulate the target data of the emergency plan according to a preset digital layout strategy to generate emergency plan business components;

The generating module is configured to determine target business component data matching the target emergency feature data according to the emergency plan business component, and generate an emergency plan model corresponding to the target emergency event based on the target business component data.
The device of claim 6, further comprising:

The acquisition module is used to collect industry data and project experience data of emergencies through a web crawler engine to acquire the historical data.
The device according to claim 6 or 7, wherein the analysis module is specifically configured to:

Traverse the knowledge graph to determine target nodes that match the historical data, and obtain the association relationship between the target nodes;

According to the association relationship, it is determined that there is associated historical data, and the emergency plan target data is extracted.
The device according to any one of claims 6-8, further comprising:

The processing module is used to standardize the target data of the emergency plan.
9. The device according to any one of claims 6-9, wherein the packaging module is specifically configured to:

Classify the target data of the emergency plan according to the classification rules matching the scene of the emergency plan;

Encapsulate according to the classified target data of the emergency plan to generate one or more of organizational business components, emergency response business components, and emergency preparedness business components.
An electronic device, characterized in that it comprises:

At least one processor; and, a memory communicatively connected with the at least one processor;

Wherein, the memory stores instructions executable by the at least one processor, and the instructions are configured to execute the emergency plan model generation method according to any one of claims 1-5.
A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to make the computer execute any one of claims 1-5 The emergency plan model generation method.