WO2021136454A1

WO2021136454A1 - Preset solution evaluation method and apparatus

Info

Publication number: WO2021136454A1
Application number: PCT/CN2020/141794
Authority: WO
Inventors: 陈涛; 苏国锋; 袁宏永; 陈建国; 孙占辉; 张毛磊; 赵秀娟; 张立明; 郭玲玲; 杜亚娟; 杨传杰
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: CN111160802A; CN111160802B

Abstract

A preset solution evaluation method and apparatus. The preset solution evaluation method comprises: acquiring a preset solution to be evaluated (101); performing a structuring process on the solution to be evaluated to generate a structured content to be evaluated (102); acquiring a scenario index and inputting the scenario index and the structured content to be evaluated into a target scenario response model for processing, and generating a response content (103); and scoring the response content according to a preset evaluation index and determining whether to adopt the preset solution according to the scoring result (104). By validating the appropriateness or completeness of a preset solution, the present invention can evaluate the appropriateness of the preset solution quickly, thereby increasing the usability and applicability of the preset solution.

Description

Evaluation method and device for preset scheme

Cross-references to related applications

This application requires the Chinese patent application number “Preset Scheme Evaluation Method and Device” submitted by Tsinghua University, Beijing Chenan Technology Co., Ltd., and Beijing Chenan Information Technology Co., Ltd. on December 31, 2019. 201911421178.2" priority.

Technical field

This application relates to the field of information processing technology, and in particular to a method and device for evaluating a preset scheme.

Background technique

In real life, sudden disaster events such as typhoons, earthquakes, etc. need to give corresponding preset plans for the event. In related technologies, the corresponding preset plans are given manually based on experience. This method leads to The operability and practicability of the preset scheme are not comprehensive enough.

Summary of the invention

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

For this reason, the first purpose of this application is to propose a preset plan evaluation method, which solves the problem that the operability and practicality of the corresponding preset plan based on manual analysis of events in the prior art are not comprehensive enough. The problem is that by verifying the rationality or completeness of the preset plan, the rationality of the preset plan can be quickly evaluated, thereby improving the operability and practicability of the preset plan.

The second purpose of this application is to provide a preset solution evaluation device.

The third purpose of this application is to propose an electronic device.

The fourth purpose of this application is to provide a non-transitory computer-readable storage medium.

The fifth purpose of this application is to propose a calculation program.

In order to achieve the above objective, the embodiment of the first aspect of the present application proposes a preset plan evaluation method, including: obtaining a preset plan to be evaluated; structurally processing the plan to be evaluated to generate structured content to be evaluated; and acquiring a scenario And input the scenario indicators and the structured content to be evaluated into the target scenario response model for processing to generate treatment content; the treatment content is scored according to the preset evaluation indicators, and the scoring results are used to determine whether to adopt the Describe the preset plan to be evaluated.

Optionally, the obtaining the preset solution to be evaluated includes:

Acquiring a target event, and generating an event scenario corresponding to the target event;

Acquiring scene description information corresponding to the event scene;

A scenario label is generated according to the scenario description information, and a preset solution to be evaluated is generated according to the scenario label.

Optionally, said acquiring the scene description information corresponding to the event scene includes: acquiring user input and the scene description information corresponding to the event scene; and/or, selecting a preset description template to process and generate the event scene Scenario description information corresponding to the event scenario.

Optionally, the acquisition of scenario indicators includes:

The context description information is recognized by a semantic recognition algorithm or a rule matching algorithm to obtain the context indicator.

Optionally, before inputting the scenario indicators and the structured content to be evaluated into the target scenario response model for processing, and generating treatment content, the method further includes:

Analyze historical event data based on the knowledge graph, and obtain the association rules between event loss data and disposal content;

The event loss data source corresponding to the target event, the rule condition type, and the standardized treatment content are selected according to the association relationship rule between the event loss data and the treatment content, and the target scenario response model corresponding to the target event is generated.

Optionally, after the scoring process is performed on the treatment content according to a preset evaluation index, the method further includes:

If the scoring result is less than or equal to the preset threshold, the treatment content is adjusted.

The preset plan evaluation method of the embodiment of the application obtains the preset plan to be evaluated; structurally processes the plan to be evaluated to generate the structured content to be evaluated; obtains the scenario indicator, and compares the scenario indicator with the to be evaluated The structured content input target scenario should process the model to generate treatment content; perform scoring processing on the treatment content according to preset evaluation indicators, and determine whether to adopt the preset plan to be evaluated according to the scoring result. As a result, the technical problem in the prior art that the operability and practicability of the corresponding preset plan based on manual analysis of events is not comprehensive enough is solved. Through the verification of the rationality or completeness of the preset plan, it can be Quickly evaluate the rationality of the preset plan, thereby improving the operability and practicability of the preset plan.

In order to achieve the above objective, an embodiment of the second aspect of the present application proposes a preset plan evaluation device, which includes: a first acquisition module for acquiring a preset plan to be evaluated; a first generation module for evaluating the plan to be evaluated The solution is structured to generate structured content to be evaluated; the second acquisition module is used to obtain scenario indicators; the processing module is used to input the scenario indicators and the structured content to be evaluated into the target scenario response model for processing to generate Treatment content; a scoring module for scoring the treatment content according to a preset evaluation index; a determining module for determining whether to adopt the preset plan to be evaluated according to the scoring result.

Optionally, the first obtaining module includes:

The first acquiring unit is configured to acquire a target event and generate an event scenario corresponding to the target event;

The second acquiring unit is used to acquire the scene description information corresponding to the event scene;

The generating unit is configured to generate a scenario label according to the scenario description information, and generate a preset plan to be evaluated according to the scenario label.

Optionally, the second acquiring unit is specifically configured to:

Obtain the user input and the scene description information corresponding to the event scene; and/or,

Select a preset description template to process the event scenario to generate scenario description information corresponding to the event scenario.

Optionally, the second acquisition module is specifically configured to:

Optionally, the device further includes:

The third acquisition module is used to analyze historical event data based on the knowledge graph, and acquire the association relationship rules between event loss data and disposal content;

The second generation module is configured to select the event loss data source, rule condition type, and disposal content corresponding to the target event according to the association relationship rule between the event loss data and the disposal content to generate the target scenario response model corresponding to the target event .

Optionally, the device further includes:

The adjustment module is configured to adjust the treatment content if the scoring result is less than or equal to a preset threshold.

The preset plan evaluation device of the embodiment of the application obtains the preset plan to be evaluated; structurally processes the plan to be evaluated to generate the structured content to be evaluated; obtains the scenario indicator, and compares the scenario indicator with the to be evaluated The structured content input target scenario should process the model to generate treatment content; perform scoring processing on the treatment content according to preset evaluation indicators, and determine whether to adopt the preset plan to be evaluated according to the scoring result. As a result, the technical problem in the prior art that the operability and practicability of the corresponding preset plan based on manual analysis of events is not comprehensive enough is solved. Through the verification of the rationality or completeness of the preset plan, it can be Quickly evaluate the rationality of the preset plan, thereby improving the operability and practicability of the preset plan.

In order to achieve the foregoing objective, an embodiment of the third aspect of the present application proposes an electronic device, including: at least one processor; and, a memory communicatively connected with the at least one processor; An instruction executed by the at least one processor, the instruction being configured to execute the preset solution evaluation method of the embodiment of the first aspect described above.

In order to achieve the above objective, the embodiment of the fourth aspect of the present application proposes a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to make the computer execute The preset scheme evaluation method described in the embodiment of the first aspect of the present application.

In order to achieve the foregoing objective, the embodiment of the fifth aspect of the present application proposes a computer program product. When the instructions in the computer program product are executed by a processor, the preset solution evaluation method is executed.

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

The above and/or additional aspects and advantages of the present application will become obvious and easy to understand from the following description of the embodiments in conjunction with the accompanying drawings, in which:

FIG. 1 is a schematic flowchart of a method for evaluating a preset solution provided by an embodiment of the application;

FIG. 2 is a schematic flow chart of another preset scheme evaluation method provided by an embodiment of this application;

FIG. 3 is an example diagram of a preset scheme evaluation method provided by an embodiment of this application;

FIG. 4 is an example diagram of another preset scheme evaluation method provided by an embodiment of the application;

FIG. 5 is a schematic structural diagram of a preset solution evaluation device provided by an embodiment of the application;

FIG. 6 is a schematic structural diagram of another preset solution evaluation device provided by an embodiment of the application;

FIG. 7 is a schematic structural diagram of yet another preset solution evaluation device provided by an embodiment of the application;

FIG. 8 is a schematic structural diagram of still another preset solution evaluation 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 preset solution evaluation method and device in the embodiments of the present application with reference to the drawings.

FIG. 1 is a schematic flowchart of a method for evaluating a preset solution provided by an embodiment of the application.

As shown in Figure 1, the evaluation method of the preset scheme includes the following steps:

Step 101: Obtain a preset plan to be evaluated.

Specifically, you can first determine the preset plan that needs to be evaluated, and conduct an all-round evaluation of the preset plan, or you can simulate the target event scenario first to verify whether the preset plan you currently have meets the ability to deal with the scenario, and realize the prediction Set up the evaluation of the program.

In other words, there are many ways to obtain the preset plan to be evaluated. As an example, the user directly receives the preset plan to be evaluated; as another example, the target event is obtained, and the event corresponding to the target event is generated. Scenario: Obtain the scenario description information corresponding to the event scenario, generate a scenario label according to the scenario description information, and generate a preset plan to be evaluated according to the scenario label.

It is understandable that the preset schemes corresponding to different events are different, and the preset schemes corresponding to different stages of the same event are also different. For example, the preset schemes corresponding to two events of typhoon and earthquake are different, and typhoon The preset schemes corresponding to typhoons of previous or different wind levels in different regions and different time periods are also different. For example, for a typhoon of category eight, the generated preset schemes are the number of hours before the typhoon for residents within the forecast range. Evacuation and forecasting plans such as strengthening wind and rain protection at preset locations, or how to deal with forecasting the number of injured and trapped people during a typhoon landing, and the use of materials and other forecasting plans.

Step 102: Perform structured processing on the plan to be evaluated to generate structured content to be evaluated.

Step 103: Obtain scenario indicators, and input the scenario indicators and structured content to be evaluated into the target scenario response model for processing, and generate treatment content.

Specifically, after obtaining the plan to be evaluated, structured processing is performed to generate structured content to be evaluated, such as structured content such as time, location, and specific occurrence content. For example, when the plan to be evaluated is a typhoon landing, location A, number of injured N, affected The number of sleepy people M etc.

Among them, the content of disposal can be how many rescue teams and rescue materials are dispatched.

It is understandable that there are many ways to obtain context indicators. As an example, use semantic recognition algorithms or rule matching algorithms to identify context description information to obtain context indicators; as another example, according to the structured content to be evaluated, associate All scenario indicators involved in the preset plan are drawn out.

Step 104: Perform scoring processing on the treatment content according to the preset evaluation index, and determine whether to adopt the preset plan to be evaluated according to the scoring result.

Specifically, preset evaluation indicators can be set according to needs. As a possible implementation method, the evaluation indicators for the structured content production to be evaluated include: contextual indicators and associated rules of disposal content, executable process of disposal, and reasonable disposal content Sex and so on.

Further, the treatment content is scored according to the preset evaluation indicators, and the scoring result is used to determine whether to adopt the preset plan to be evaluated. As an example, different weights are set for different indicators, and the scores obtained by each indicator are evaluated. The weighted summation is used to obtain the scoring result, and the comparison between the scoring result and the preset threshold is further used to determine whether to adopt the preset plan to be evaluated.

It should be noted that if the scoring result is less than or equal to the preset threshold, the treatment content needs to be adjusted to further improve the effectiveness of the treatment content.

The preset plan evaluation method of the embodiment of this application obtains the preset plan to be evaluated; structurally processes the plan to be evaluated to generate the structured content to be evaluated; obtains the scenario indicator, and combines the scenario indicator with the to be evaluated The structured content input target scenario should process the model to generate treatment content; perform scoring processing on the treatment content according to preset evaluation indicators, and determine whether to adopt the preset plan to be evaluated according to the scoring result. As a result, the technical problem in the prior art that the operability and practicability of the corresponding preset plan based on manual analysis of events is not comprehensive enough is solved. Through the verification of the rationality or completeness of the preset plan, it can be Quickly evaluate the rationality of the preset plan, thereby improving the operability and practicability of the preset plan.

Fig. 2 is a schematic flow chart of another preset scheme evaluation method provided by an embodiment of the application.

As shown in Figure 2, the evaluation method of the preset scheme includes the following steps:

Step 201: Obtain a target event, generate an event scenario corresponding to the target event, obtain scenario description information corresponding to the event scenario, generate a scenario label according to the scenario description information, and generate a preset plan to be evaluated according to the scenario label.

Specifically, different target events can be simulated according to the actual target event as the target event. Each moment of the target event can be used as an event scenario, which can generate an event scenario corresponding to the target event, such as a one-hour earthquake scenario , The two-hour earthquake scenario, etc., and obtain the scenario description information corresponding to the event scenario, such as the scenario description information corresponding to the one-hour earthquake scenario. There is a house collapse in location A, the earthquake is felt in location B, the residents' situation, the rescue situation, etc., and According to the scene description information, scene labels such as location, injury, material and other scene labels are generated, and the preset plan to be evaluated is generated according to the scene labels.

Among them, generating the preset plan to be evaluated based on the context label can understand that according to the features of the preset plan, including the application area of the preset plan, the preset plan intelligently matches the event type and the preset plan label to obtain the most matching preset Program.

Among them, there are many ways to obtain the scene description information corresponding to the event scene. As an example, the user input and the scene description information corresponding to the event scene are obtained; as another example, a preset description template is selected to process and generate the event scene. Scene description information corresponding to the event scene.

In step 202, structured processing is performed on the plan to be evaluated to generate structured content to be evaluated.

Step 203: Recognize the context description information through a semantic recognition algorithm or a rule matching algorithm to obtain context indicators.

Specifically, semantic recognition algorithms or rule matching algorithms are mainly used to identify the context description information to obtain context indicators. If part of the context description cannot be intelligently recognized or when the recognition results need to be adjusted, the context indicators can be manually adjusted to further improve the follow-up Effectiveness and accuracy of processing.

Step 204: Analyze historical event data based on the knowledge graph, and obtain association rules between event loss data and disposal content.

Step 205: Select the event loss data source corresponding to the target event, the rule condition type, and the standardized treatment content according to the association rule between the event loss data and the treatment content to generate a target scenario response model corresponding to the target event.

Specifically, it is possible to analyze historical target event professional data, industry experience, and project experience with the help of knowledge graph technology to obtain standardized disaster loss data and disposal content data association rules.

Further, as shown in Figure 3, 2) start to create disaster scenario rules, establish a standardized association relationship between disaster loss data and disposal content data, 3) define rule input conditions, select standardized disaster loss data sources, 4) select rules Condition type, mainly for the description of disaster conditions, such as the injured population> 300, of which> 300 is the rule condition type. 5) Define the rule output result, select the standardized disposal content, associate the condition and the result, 6) Combine Scenario rules for a certain type of target event are all created in accordance with the steps 2)-5), 7) 6) data is packaged by event type, and each event type corresponds to a target scenario response model, so you can choose to match the target event Corresponding event loss data sources, rule condition types, and standardized handling content generate a target scenario response model corresponding to the target event.

Step 206: Input the scenario indicators and the structured content to be evaluated into the target scenario response model for processing, and generate treatment content.

Step 207: Perform scoring processing on the treatment content according to the preset evaluation index, and determine whether to adopt the preset plan to be evaluated according to the scoring result.

Step 208: If the scoring result is less than or equal to the preset threshold, the treatment content is adjusted.

Further, the treatment content is scored according to preset evaluation indicators, and the scoring result is used to determine whether to adopt the preset plan to be evaluated. As an example, different weights are set for different indicators, and the scores obtained by each indicator are evaluated. The weighted summation is used to obtain the scoring result, and the comparison between the scoring result and the preset threshold is further used to determine whether to adopt the preset plan to be evaluated.

In order to make the above process more clear to those skilled in the art, the following is an example in detail with reference to FIG. 4.

Specifically, the user can first determine the preset plan that needs to be evaluated, and conduct an all-round evaluation of the preset plan, or first simulate the target event scenario to verify whether the preset plan currently possessed meets the ability to deal with the scenario, and realizes the Evaluation of pre-set plans.

For example, the event scenario is that a magnitude 7 earthquake occurred at location Y at X, X, X, X, X, XX, resulting in more than 30 deaths, a large number of injuries, and serious economic losses. According to the structured content of the preset plan, it is recommended to predict the earthquake. Suppose the plan is: "Earthquake Emergency Preset Plan for Province Y" and start level I response. The associated scenario indicators are: disaster area, dead population, injured population, economic loss, etc., among which the structured content of the preset plan includes: Emergency response standard module, organization building module, emergency response module, disaster recovery module, etc. Among them, the emergency response module contains many sub-modules, such as medical rescue module, buried population search and rescue module, and key site evacuation module, such as buried pressure The population search and rescue module includes targeted disaster losses, handling tasks, handling content, carrying equipment and materials, rescue forces, number of resources, number of rescue forces, etc.

Further, according to the scenario indicators and the structured content of the preset plan, the disposal content is automatically recommended, and the evaluation index is generated based on the related structured preset plan content and scenario indicators. For example, the relevant indicators of the reasonableness of the disposal content are: whether the carrying equipment is reasonable, Whether the number of equipment carried is reasonable, whether the number of rescue teams dispatched is reasonable, and whether the rescue team capacity is reasonable, and scored according to the obtained scenario indicators, the scoring weights of different indicators are different, and finally the ability of the preset plan to deal with the scenario is evaluated according to the scoring results.

Scenario 1: The user can first determine the preset plan that needs to be evaluated, and conduct a comprehensive evaluation of the preset plan.

1) Select the preset plan that needs to be evaluated;

2) Create event scenarios, that is, simulate different target events based on actual target events (ie emergencies), and every moment of the target event can be used as an event scenario;

3) Enter the event description information, the user can completely customize the entry description information, and can also select a description template (the template defines the description format, the content of each field, the common description sentence, and the common vocabulary), based on the template to quickly generate the context description information;

4) According to the structured content of the preset plan, all the scenario indicators involved in the preset plan are associated;

5) According to the event situation information, the system can intelligently identify the situation indicators (the situation indicators are used to structure the description of the event situation), and the intelligent identification is mainly completed by the semantic recognition algorithm or the rule matching algorithm; if there is some content in the description that cannot be intelligently identified, or When the recognition result needs to be adjusted, the user can manually adjust the scenario indicators;

6) According to the scenario indicators and the structured content of the preset plan, automatically recommend the treatment content (automatic recommendation is mainly realized through the matching of the scenario indicators), so as to realize the automatic matching of the treatment content for the event scenario;

7) Preset plan structured content production evaluation indicators, including scenario indicators and associated rules of disposal content, executable disposal process, reasonable disposal content, etc.;

8) Judging the rationality of the disposal content generated in step 6) in combination with the evaluation indicators, such as manual scoring to obtain the evaluation results, and feedback of unreasonable content in the form of comments, so as to optimize the content of the preset plan in a targeted manner.

9) By simulating a variety of different event scenarios, evaluate the preset plan, that is, repeat the process of 2)-8) multiple times to complete the evaluation of the preset plan.

Scenario 2: The user can simulate the target event scenario first, verify whether the current preset plan meets the ability to deal with the event scenario, and realize the evaluation of the preset plan.

1) Create event scenarios, that is, simulate different target events based on actual target events, and every moment of the target event can be used as an event scenario;

2) Enter the event description information, the user can completely customize the entry description information, and can also select a description template (the template defines the description format, the content of each field, the common description sentence, and the common vocabulary), and the scenario description is quickly generated based on the template information;

3) For the current description of the situation information, enter the situation label;

4) Automatically match the preset plan that needs to be evaluated according to the scene label (according to the features of the preset plan, including the application area of the preset plan, the preset plan is intelligently matched for the event type, the preset plan label, and the most matching preset Solution), if the preset solution automatically matched does not meet the user's requirements, the user can manually adjust to the preset solution that needs to be evaluated;

5) The subsequent operation steps are implemented in Scenario One, and the description will not be repeated.

Therefore, through the rule engine, the disaster scenario and the response and disposal content are modeled, and the corresponding relationship is established. According to the different event scenarios portrayed, different target events are simulated, the scenario triggers the preset plan, and the relevant treatment content is automatically matched through the rule preset plan. , The structured description of the treatment content is used as the evaluation content, and the preset plan evaluation model is established, and the similarity between the preset plan content extracted based on the event portrait and the case content is calculated to complete the preset plan evaluation work to help users quickly evaluate the preset The rationality of the plan improves the operability and practicability of the preset plan.

The embodiment of the present application also proposes a preset solution evaluation device.

FIG. 5 is a schematic structural diagram of a preset solution evaluation device provided by an embodiment of the application.

As shown in FIG. 5, the preset solution evaluation device includes: a first acquisition module 501, a first generation module 502, a second acquisition module 503, a processing module 504, a scoring module 505, and a determination module 506, wherein:

The first obtaining module 501 is configured to obtain a preset solution to be evaluated.

The first generating module 502 is configured to perform structured processing on the plan to be evaluated to generate structured content to be evaluated.

The second obtaining module 503 is used to obtain scenario indicators.

The processing module 504 is configured to input the scenario indicators and the structured content to be evaluated into the target scenario response model for processing, and generate treatment content.

The scoring module 505 is configured to score the treatment content according to a preset evaluation index.

The determining module 506 is configured to determine whether to adopt the preset solution to be evaluated according to the scoring result.

In an embodiment of the present application, on the basis of FIG. 5, as shown in FIG. 6, the first obtaining module 501 includes: a first obtaining unit 5011, a second obtaining unit 5012, and a generating unit 5013.

The first obtaining unit 5011 is configured to obtain a target event, and generate an event scenario corresponding to the target event.

The second acquiring unit 5012 is configured to acquire the scene description information corresponding to the event scene.

The generating unit 5013 is configured to generate a scenario label according to the scenario description information, and generate a preset solution to be evaluated according to the scenario label.

In an embodiment of the present application, the second obtaining unit 5012 is specifically configured to: obtain user input and scenario description information corresponding to the event scenario; and/or select a preset description template to process and generate the event scenario Scenario description information corresponding to the event scenario.

In an embodiment of the present application, the second obtaining module 503 is specifically configured to: identify the scenario description information through a semantic recognition algorithm or a rule matching algorithm to obtain the scenario indicator.

In an embodiment of the present application, on the basis of FIG. 5, as shown in FIG. 7, the device may further include: a third acquisition module 507 and a second generation module 508.

The third acquisition module 507 is configured to analyze historical event data based on the knowledge graph, and acquire association rules between event loss data and disposal content.

The second generation module 508 is configured to select the event loss data source, the rule condition type, and the treatment content corresponding to the target event according to the association relationship rule between the event loss data and the disposal content to generate the target scenario response corresponding to the target event model.

In an embodiment of the present application, on the basis shown in FIG. 6 and as shown in FIG. 8, the device may further include: an adjustment module 509.

The adjustment module 509 is configured to adjust the treatment content if the scoring result is less than or equal to a preset threshold.

It should be noted that the foregoing explanation of the embodiment of the preset solution evaluation method is also applicable to the preset solution evaluation device of this embodiment, and will not be repeated here.

In order to implement the above-mentioned embodiments, the embodiments of the present application also propose a computer device, including a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor executes the program for:

Obtain a preset plan to be evaluated;

Structural processing is performed on the plan to be evaluated to generate structured content to be evaluated;

Obtain scenario indicators, and input the scenario indicators and the structured content to be evaluated into the target scenario response model for processing to generate disposal content;

The treatment content is scored according to a preset evaluation index, and whether to adopt the preset plan to be evaluated is determined according to the scoring result.

In order to implement the above-mentioned embodiments, the embodiments of the present application also propose a non-transitory computer-readable storage medium on which a computer program is stored, and the program is executed by a processor for:

Obtain a preset plan to be evaluated;

The present application discloses a computer program product. When the instructions in the computer program product are executed by a processor, a preset scheme evaluation method is executed.

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 can even be paper or other suitable media on which the program can be printed, because it can be done, for example, by optically scanning the paper or other media, and then editing, interpreting or other suitable The program is processed in a way 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 evaluating a preset scheme is characterized in that it comprises the following steps:

Obtain a preset plan to be evaluated;

Structural processing is performed on the plan to be evaluated to generate structured content to be evaluated;

Obtain scenario indicators, and input the scenario indicators and the structured content to be evaluated into the target scenario response model for processing to generate disposal content;

The treatment content is scored according to a preset evaluation index, and whether to adopt the preset plan to be evaluated is determined according to the scoring result.
The method according to claim 1, wherein said obtaining the preset solution to be evaluated comprises:

Acquiring a target event, and generating an event scenario corresponding to the target event;

Acquiring scene description information corresponding to the event scene;

A scenario label is generated according to the scenario description information, and a preset solution to be evaluated is generated according to the scenario label.
The method according to claim 2, wherein said obtaining the scene description information corresponding to the event scene comprises:

Obtain the user input and the scene description information corresponding to the event scene; and/or,

Select a preset description template to process the event scenario to generate scenario description information corresponding to the event scenario.
The method according to claim 1, characterized in that said obtaining a scenario indicator comprises:

The context description information is recognized by a semantic recognition algorithm or a rule matching algorithm to obtain the context indicator.
The method according to claim 1, characterized in that, before said inputting said scenario indicators and said structured content to be evaluated into a target scenario response model for processing and generating processing content, the method further comprises:

Analyze historical event data based on the knowledge graph, and obtain the association rules between event loss data and disposal content;

The event loss data source corresponding to the target event, the rule condition type, and the standardized treatment content are selected according to the association relationship rule between the event loss data and the treatment content, and the target scenario response model corresponding to the target event is generated.
The method according to claim 1, characterized in that, after the scoring processing of the treatment content according to a preset evaluation index, the method further comprises:

If the scoring result is less than or equal to the preset threshold, the treatment content is adjusted.
A preset scheme evaluation device, which is characterized in that it comprises:

The first obtaining module is used to obtain the preset plan to be evaluated;

The first generation module is configured to perform structured processing on the plan to be evaluated to generate structured content to be evaluated;

The second acquisition module is used to acquire scenario indicators;

A processing module, configured to input the scenario indicators and the structured content to be evaluated into the target scenario response model for processing, and generate treatment content;

The scoring module is used for scoring the treatment content according to preset evaluation indicators;

The determining module is used to determine whether to adopt the preset solution to be evaluated according to the scoring result.
The device according to claim 7, wherein the first obtaining module comprises:

The first acquiring unit is configured to acquire a target event and generate an event scenario corresponding to the target event;

The second acquiring unit is used to acquire the scene description information corresponding to the event scene;

The generating unit is configured to generate a scenario label according to the scenario description information, and generate a preset plan to be evaluated according to the scenario label.
The device according to claim 8, wherein the second acquiring unit is specifically configured to:

Obtain the user input and the scene description information corresponding to the event scene; and/or,

Select a preset description template to process the event scenario to generate scenario description information corresponding to the event scenario.
The device according to claim 7, wherein the second acquisition module is specifically configured to:

The context description information is recognized by a semantic recognition algorithm or a rule matching algorithm to obtain the context indicator.
The device according to claim 7, further comprising:

The third acquisition module is used to analyze historical event data based on the knowledge graph, and acquire the association relationship rules between event loss data and disposal content;

The second generation module is configured to select the event loss data source, rule condition type, and disposal content corresponding to the target event according to the association relationship rule between the event loss data and the disposal content to generate the target scenario response model corresponding to the target event .
The device according to claim 7, further comprising:

The adjustment module is configured to adjust the treatment content if the scoring result is less than or equal to a preset threshold.
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 that can be executed by the at least one processor, and the instructions are configured to execute the preset solution evaluation method according to any one of claims 1-6.
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 to 6 The evaluation method of the preset plan.