Emergency drill assessment method and system based on fuzzy analytic hierarchy process

Abstract

The invention belongs to but not limited to the technical field of drilling systems, and particularly relates to an emergency drilling evaluation method and system based on a fuzzy analytic hierarchy process, and the method comprises the steps: S1, determining an evaluation factor set, namely determining indexes having influences on an evaluation object, and forming an index set; the emergency drilling is divided into three layers, the first layer is technical analysis task execution capability, the second layer is drilling stage execution capability, and the third layer is auxiliary decision-making capability; s2, according to the needs of decision makers, establishing an evaluation set, such as excellent, good, passing and poor; the evaluation is divided into five grades of scores, namely 10 scores, 8 scores, 5 scores, 3 scores and 0 score; s3, fuzzy membership degree is determined, a fuzzy membership degree matrix Rmn is obtained through an expert scoring method, Rmn is an m * n matrix, m is the number of evaluation indexes, and n is the number of comment levels; and S4, a comprehensive evaluation vector Di is obtained, Bi is a criterion weight vector, and a result is a final score of fuzzy comprehensive evaluation of each scheme.

Description

Technical Field

[0001] The present invention belongs to but is not limited to the technical field of drill systems, and in particular relates to an emergency drill evaluation method and system based on fuzzy analytic hierarchy process. Background Art

[0002] Drill evaluation is a comprehensive and systematic assessment and testing of emergency drill activities. It is an indispensable and important way to achieve self-improvement of the emergency drill system, improvement of drill organizations, and revision of laws and regulations on emergency plans.

[0003] Technical problems existing in the industrial application of existing technologies in emergency drill evaluation.

[0004] 1. Limitations of the literature survey method

[0005] Disconnect between theory and practice:

[0006] The literature survey method collects a large amount of research literature to organize the evaluation system, but most of these theories are derived from specific environments or national conditions, and may have problems with poor adaptability when directly applied to emergency drills in my country.

[0007] Insufficient dynamic adjustment:

[0008] This method is mainly based on literature data and lacks dynamic analysis of actual drill situations, making it difficult to make flexible adjustments based on real-time changing drill needs.

[0009] 2. Limitations of expert consultation

[0010] Highly subjective:

[0011] Experts rank weights and design evaluation indicators based on their personal experience, which can easily lead to an evaluation system that is highly subjective and difficult to avoid the influence of personal bias.

[0012] Rely on expert resources:

[0013] This method relies heavily on high-level expert team resources and is limited by the time and geographical distribution of experts. The evaluation efficiency is low and it is not suitable for rapid evaluation of large-scale exercises.

[0014] 3. Limitations of on-site observation

[0015] Post-evaluation, no prediction:

[0016] The on-site observation method can only be used to evaluate after the drill is conducted. It cannot simulate and predict the effects of the drill in advance and lacks the ability to make predictions in advance.

[0017] Limited applicability:

[0018] This method cannot be used in emergencies or when simulation conditions are insufficient. It has high requirements for resources and environment and is difficult to promote and apply on a larger scale.

[0019] 4. Limitations of fuzzy comprehensive evaluation method

[0020] Calculation complexity:

[0021] The fuzzy comprehensive evaluation method is computationally complex in multi-level and multi-index evaluations, requires high computing power, and is prone to inefficiency in large-scale exercise evaluations.

[0022] Subjective weighting issues:

[0023] The determination of the weight vector relies on expert judgment and is highly subjective. Especially when there are a large number of indicators, it is easy to cause the weight to be too small and the membership weight coefficient to not match the fuzzy matrix, resulting in super-fuzziness, poor resolution, and inability to accurately distinguish the advantages and disadvantages of different schemes.

[0024] 5. Limitations of the evaluation form scoring method

[0025] Experience Dependence:

[0026] The scoring method of the evaluation form relies on the experience of experts or evaluators, which can easily lead to the problem that the evaluation results vary from person to person, making it difficult to achieve consistency and objectivity.

[0027] Difficulty handling complex systems:

[0028] In a complex system with multiple levels and multiple indicators, a simple scoring method cannot fully reflect the complex relationship between various factors, and can easily lead to one-sided evaluation results.

[0029] 6. Comprehensive technical issues

[0030] The dynamic emergency drill environment is not adaptable enough:

[0031] Most existing assessment methods are unable to flexibly adapt to the dynamically changing emergency environment and are unable to effectively respond to the changing scenarios and needs in large-scale and complex emergency drills.

[0032] It is difficult to strike a balance between efficiency and accuracy:

[0033] Traditional evaluation methods have difficulties in balancing computational efficiency and result accuracy, especially the problems of weight allocation and distinguishing fuzzy evaluation results under multi-indicator systems.

[0034] The optimization effect of the plan is insufficient:

[0035] Existing evaluation methods are more at the result analysis stage, lacking optimization suggestions and support for emergency drill plans, and are unable to effectively guide drill improvements from the evaluation.

[0036] There are many technical problems in the industrial application of existing technologies in emergency drill evaluation, such as strong subjectivity, lack of real-time performance, high complexity, poor result accuracy, etc. Especially when dealing with large-scale drills with multiple levels and multiple indicators, existing methods are difficult to meet the requirements of efficiency, accuracy and applicability at the same time, and further improvement is needed to adapt to the complex and changing emergency management environment. Summary of the invention

[0037] In view of the problems existing in the prior art, the present invention provides an emergency drill evaluation method and system based on fuzzy analytic hierarchy process, constructs an index hierarchy structure that affects concept evaluation, and determines the index weights through analytic hierarchy process. The fuzzy comprehensive evaluation method can complete the optimal sorting of concepts. The model combines fuzzy mathematics with the principle of membership, takes into account the fuzziness of some evaluation criteria that are difficult to express with precise numbers, and solves the fuzzy decision-making problem. Combining qualitative analysis with quantitative analysis makes the evaluation process more accurate.

[0038] The present invention is implemented as follows: an emergency drill evaluation method based on fuzzy analytic hierarchy process, comprising:

[0039] S1, the determination of the evaluation factor set refers to determining the indicators that have an impact on the evaluation object to form an indicator set. Emergency drills are divided into three levels: the first level is the ability to perform technical analysis tasks, the second level is the ability to perform during the drill phase, and the third level is the ability to assist in decision-making;

[0040] S2, according to the needs of decision makers, establish an evaluation set, such as excellent, good, pass, and poor. The present invention divides the evaluation into 5 levels, namely 10 points, 8 points, 5 points, 3 points, and 0 points;

[0041] S3, determine the fuzzy membership: use the expert scoring method to obtain the fuzzy membership matrix R mn , R mn is an m×n matrix, where m is the number of evaluation indicators and n is the number of review levels;

[0042]

[0043] S4, the comprehensive evaluation vector D is obtained by the following formula i

[0044] D i =B i *D i

[0045] Among them B i is the criterion weight vector. The result is the final score of the fuzzy comprehensive evaluation of each scheme.

[0046] Further, the specific implementation steps are as follows:

[0047] 1) Establish indicators;

[0048] 2) In order to build a comparison matrix, a pairwise comparison is required to show the relative importance of all factors at the sub-criteria level to a factor at a higher level; the relevant experts are invited to rate the importance of each criterion. When constructing the comparison matrix, the number "1" is placed on the diagonal of the matrix, because the importance of the same criteria is equal. Moreover, the upper right corner and the bottom;

[0049] 3) After the pairwise comparison is completed, the eigenvalues ​​and their corresponding eigenvectors are calculated; the different steps are as follows: Calculate the product of each row of the matrix Where m is the number of indicators to calculate the nth root of the above result The criterion weight (W) is calculated according to the formula i )

[0050]

[0051] 4) Check consistency: The consistency of the pairwise comparison matrix must be checked to determine whether the previous and subsequent judgments are consistent. This will be measured by calculating the consistency index and consistency ratio, the equation is as follows:

[0052]

[0053] λ max =(1 / m)*(W1′ / W1+W2' / W2+……+W m ′ / W m ).

[0054] Furthermore, the consistency check is performed by calculating

[0055]

[0056] The coherence index was calculated using the following equation

[0057]

[0058] When CR≤0.10, the consistency of the judgment matrix is ​​acceptable.

[0059] Furthermore, the annotation set is defined as V = {excellent, good, pass, poor}, and the evaluation group consists of 9 innovation and entrepreneurship experts who are invited to evaluate the rehearsal status of the three participating teams according to each sub-criteria. The number of votes of each expert on a certain level is taken as its membership, and the weight of each expert is equal. Taking the rehearsal level of the first participating team as an example, the calculation process based on the fuzzy evaluation method is as follows:

[0060]

[0061] The analytic hierarchy process obtains the weight vector of each sub-criteria, and the weight of each sub-criteria is multiplied by its fuzzy evaluation matrix to obtain the membership degree of each sub-criteria;

[0062]

[0063] Calculate the comprehensive evaluation vector; according to the calculated indicator weights, get the overall score of each team; the comprehensive evaluation result is:

[0064]

[0065] Similarly, fuzzy evaluations of the second and third participating teams can be obtained.

[0066] Another object of the present invention is to provide an emergency drill evaluation system based on fuzzy analytic hierarchy process for realizing the emergency drill evaluation method based on fuzzy analytic hierarchy process, comprising:

[0067] The evaluation factor set determination module is used to determine the indicators that affect the evaluation object and form an indicator set. Emergency drills are divided into three levels: the first level is the ability to perform technical analysis tasks, the second level is the ability to perform drills, and the third level is the ability to assist decision-making;

[0068] The evaluation set establishment module is used to establish an evaluation set according to the needs of decision makers, such as excellent, good, pass, and poor. The present invention divides the evaluation into 5 grades, namely 10 points, 8 points, 5 points, 3 points, and 0 points;

[0069] The fuzzy membership determination module uses the expert scoring method to obtain the fuzzy membership matrix R mn , R mn is an m×n matrix, where m is the number of evaluation indicators and n is the number of review levels;

[0070]

[0071] Comprehensive evaluation module, the comprehensive evaluation vector D is obtained by the following formula i

[0072] D i =B i *D i

[0073] Among them B i is the criterion weight vector. The result is the final score of the fuzzy comprehensive evaluation of each scheme.

[0074] Another object of the present invention is to provide a computer device, the computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the emergency drill evaluation method based on the fuzzy hierarchical analysis method.

[0075] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the emergency drill evaluation method based on the fuzzy hierarchical analysis method.

[0076] Another object of the present invention is to provide an information data processing terminal, which includes the emergency drill evaluation system based on fuzzy analytic hierarchy process.

[0077] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0078] First, the present invention proposes an emergency drill assessment based on fuzzy analytic hierarchy process. The analytic hierarchy process regards the research object as a system and makes decisions according to the thinking mode of decomposition, comparison, judgment and synthesis. It has become an important tool for system analysis developed after mechanism analysis and statistical analysis. This method neither pursues advanced mathematics nor pays one-sided attention to behavior, logic and reasoning, but organically combines qualitative methods with quantitative methods. The analytic hierarchy process mainly starts from the evaluator's understanding of the essence and elements of the evaluation problem, and pays more attention to qualitative analysis and judgment than general quantitative methods. The analytic hierarchy process is a systematic and hierarchical analysis method that combines qualitative and quantitative methods. It has strong practicality in dealing with complex decision-making problems. The method has developed rapidly. At present, its application scope has spread to many fields such as economic planning and management, military command, education, security, and environment. The fuzzy analytic hierarchy process combines the analytic hierarchy process with the fuzzy comprehensive evaluation method to propose a new quantitative comprehensive evaluation method. The method uses the analytic hierarchy process to determine the weights of different indicators that affect decision-making, and uses the fuzzy comprehensive evaluation method to convert language values ​​into fuzzy numbers to analyze and evaluate concepts.

[0079] Second, the technical solution of emergency drill evaluation method based on fuzzy analytic hierarchy process.

[0080] 1. Existing technical problems solved

[0081] 1. Difficulty in Quantifying Emergency Drill Evaluation

[0082] Traditional emergency drill evaluations mostly rely on subjective evaluations by experts and lack systematicity and uniformity, resulting in low credibility and comparability of evaluation results.

[0083] The present invention transforms qualitative evaluation into quantitative analysis through fuzzy hierarchical analysis method, thus solving the problem that fuzzy information is difficult to quantify in exercise evaluation.

[0084] 2. It is difficult to reasonably allocate the weights of multi-indicator evaluation

[0085] In the multi-indicator exercise evaluation, the final evaluation results may be distorted due to the strong subjectivity of the weights of each indicator.

[0086] The present invention constructs a criterion weight vector (Bi) in combination with expert scoring to dynamically optimize weight distribution, thereby ensuring the rationality and scientificity of each indicator in the evaluation.

[0087] 3. Lack of systematic methods for comprehensive evaluation

[0088] Traditional evaluation methods cannot effectively combine multi-level information such as technical execution capabilities, stage completion status and decision-making support capabilities, resulting in one-sided evaluation results.

[0089] The present invention divides emergency drills into three levels, and realizes systematic comprehensive evaluation from single items to the whole through a fuzzy comprehensive evaluation model.

[0090] 4. Evaluation results are not intuitive and difficult to apply to optimization

[0091] Traditional methods make it difficult to intuitively present evaluation results in a quantitative form, which is not conducive to subsequent targeted improvements and optimizations.

[0092] The fuzzy comprehensive evaluation result of the present invention is a specific score, which can intuitively reflect the pros and cons of the emergency drill and provide a quantitative basis for subsequent improvements.

[0093] 2. Significant Technological Advances

[0094] 1. Improve the scientific nature of the evaluation system

[0095] Emergency drills are divided into three levels (technical analysis task execution capability, drill phase execution capability, and decision-making support capability), and complex problems are broken down layer by layer, which improves the comprehensiveness and scientific nature of the evaluation system.

[0096] 2. Quantification and objectivity enhancement

[0097] The fuzzy membership matrix (Rmn) is established through the expert scoring method, combined with the fuzzy comprehensive evaluation vector calculation, which makes the evaluation process change from subjective to objective, and improves the accuracy and fairness of the evaluation results.

[0098] 3. Dynamic weight distribution

[0099] The present invention dynamically adjusts the criterion weight vector (Bi) to ensure that the evaluation result can reflect the actual impact of each level and each indicator, thereby enhancing the applicability of the evaluation model.

[0100] 4. Comprehensive evaluation results are intuitively quantified

[0101] The calculation of the fuzzy comprehensive evaluation vector directly outputs the final score (Di) of each level. The evaluation results are clear and intuitive, which is convenient for horizontal comparison and targeted optimization of multiple plans.

[0102] 5. Improved adaptability and versatility

[0103] The evaluation factor set and evaluation level can be flexibly adjusted according to the specific emergency drill tasks, making this method applicable to the evaluation needs of various scenarios and task types.

[0104] 3. Value in Industrial Applications

[0105] 1. Optimize the design of emergency drills

[0106] The evaluation results of the present invention can intuitively quantify the pros and cons of each stage, providing data support for the design of subsequent exercise plans, thereby improving the pertinence and effectiveness of emergency exercises.

[0107] 2. Improve emergency management capabilities

[0108] The comprehensive evaluation results can be used to reflect the shortcomings of technical execution capabilities and decision-making support capabilities during drills, and provide a scientific basis for emergency management departments to improve technical means and decision-making mechanisms.

[0109] 3. Support multi-scenario applications

[0110] This method is applicable to emergency drill assessment in multiple fields such as nuclear power, chemical industry, and transportation, and can be flexibly applied across industries.

[0111] 4. Promote the development of intelligent exercise evaluation

[0112] Combined with computer automated calculations, the present invention can be further integrated with information systems to achieve intelligent and rapid evaluation, thereby reducing the time and labor costs of evaluation work.

[0113] The present invention constructs a multi-level, multi-index emergency drill evaluation system through the fuzzy analytic hierarchy process, solving the problems of insufficient quantification, systematization and rationality of weight allocation in traditional evaluation methods. By improving the evaluation accuracy and adaptability, the present invention has made significant technological progress in emergency management and optimization of drill plans, and provides technical support for the scientific and intelligent evaluation of complex emergency drills. BRIEF DESCRIPTION OF THE DRAWINGS

[0114] Figure 1 It is a flow chart of an emergency drill evaluation method based on fuzzy analytic hierarchy process provided by an embodiment of the present invention;

[0115] Figure 2 is a schematic diagram of emergency drill indicators provided by an embodiment of the present invention;

[0116] Figure 3 is a schematic representation of the value of the average random consistency index provided by an embodiment of the present invention;

[0117] Figure 4 It is a structural diagram of an emergency drill evaluation system based on fuzzy analytic hierarchy process provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0118] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0119] like Figure 1 As shown in the figure, the fuzzy hierarchical analysis method is divided into four steps:

[0120] 1) Determination of the evaluation factor set refers to determining the indicators that affect the evaluation object and forming an indicator set. Emergency drills are divided into three levels: the first level is the ability to perform technical analysis tasks, the second level is the ability to perform drills, and the third level is the ability to assist in decision-making. Specific indicators are shown in the attached Figure 2 .

[0121] 2) According to the needs of decision makers, an evaluation set is established, such as excellent, good, pass, and poor. The present invention divides the evaluation into 5 grades, namely 10 points, 8 points, 5 points, 3 points, and 0 points.

[0122] 3) Determine the fuzzy membership. The fuzzy membership matrix R is obtained by expert scoring method. mn . R mn It is an m×n matrix, where m is the number of evaluation indicators and n is the number of review levels.

[0123] 4) The comprehensive evaluation vector D is obtained by the following formula: i

[0124] D i =B i *D i

[0125] Among them B i is the criterion weight vector. The result is the final score of the fuzzy comprehensive evaluation of each scheme.

[0126] The specific implementation steps are as follows:

[0127] 1) According to the attached Figure 2 To create indicators

[0128] 2) In order to build a comparison matrix, pairwise comparisons are required to show the comparison of the relative importance of all factors at the sub-criteria level to one factor at a higher level. The evaluation scale from 1 to 9 is used for the pairwise comparison process as shown in Appendix 1. The relevant experts are invited to rate the importance of each criterion. When constructing the comparison matrix, the number "1" is placed on the diagonal of the matrix because the importance of the same criterion is equal. Also, the upper right corner and the bottom side.

[0129] Table 1 Evaluation scale from 1 to 9 for pairwise comparison process

[0130]

[0131] 3) After the pairwise comparison is completed, the eigenvalues ​​and their corresponding eigenvectors are calculated. The different steps are summarized as follows: Calculate the product of each row of the matrix Where m is the number of indicators to calculate the nth root of the above result The criterion weight (W) is calculated according to the formula i )

[0132]

[0133] 4) Check consistency. The consistency of the pairwise comparison matrix must be checked to determine whether the previous and subsequent judgments are consistent. This will be measured by calculating the consistency index and consistency ratio. The equation is as follows

[0134]

[0135] λ max =(1 / m)*(W1′ / W1+W2' / W2+……+W m ′ / W m )

[0136] The consistency check is performed by calculating

[0137]

[0138] The coherence index was calculated using the following equation

[0139]

[0140] The value of RI is determined by the corresponding Figure 3 It is concluded that when CR≤0.10, the consistency of the judgment matrix is ​​acceptable.

[0141] Table 2 shows the weights of each criterion and sub-criterion after pairwise comparison and calculation.

[0142] The annotation set is defined as V = {excellent, good, pass, poor}. The evaluation team consists of 9 innovation and entrepreneurship experts. They are invited to evaluate the rehearsal status of the three participating teams according to each sub-criteria. The number of votes of each expert on a certain level is taken as its membership, and the weight of each expert is equal. Taking the rehearsal level of the first participating team as an example, the calculation process based on the fuzzy evaluation method is as follows:

[0143]

[0144] The analytic hierarchy process obtains the weight vector of each sub-criteria, and the weight of each sub-criteria is multiplied by its fuzzy evaluation matrix to obtain the membership degree of each sub-criteria.

[0145]

[0146] Calculate the comprehensive evaluation vector. According to the calculated indicator weights, the overall score of each team is obtained. The comprehensive evaluation results are:

[0147]

[0148] Similarly, fuzzy evaluations of the second and third participating teams can be obtained.

[0149] The present invention evaluates emergency drills, which is an important part of emergency dynamic management and has great significance for maintaining public safety operation. The study of the evaluation method of emergency drills for major emergencies has important practical significance for self-evaluation, self-examination and self-improvement of emergency management capabilities for major emergencies. According to the influencing indicators of each factor, matrix operations are performed, consistency verification is performed, and finally the optimal sorting is performed according to the score. The first step of the hierarchical analysis method is to stratify the problems to be solved and establish a hierarchical structure. Complex decision-making problems are usually divided into four levels: the first level is the goal that the decision-making problem wants to achieve, which is called the highest level, also called the target level. This article chooses the latter; the second level is the middle level, and the factors in the middle level are the measures and strategies to be taken if the goal is to be achieved. It is an intermediate link and can generally be subdivided downward; the third level is the subdivided elements of the middle level, which is also called the criterion level; the last level is the proposed decision plan when we make decisions, that is, the plan level. The factors within each level should be independent of each other. At the same time, the factors of the same level should be subordinate to the factors of the upper level or have an impact on the factors of the upper level. There should be a control or influence relationship between the levels, with the upper level controlling the lower level and the lower level influencing the upper level. After the hierarchical structure is established, the mutual importance of each factor in each layer is judged, and the judged values ​​are listed in a matrix form. The assignment generally adopts a 1 to 9 scale. After the expert scoring forms a judgment matrix, the tool Excel is used to obtain the maximum eigenvalue of each judgment matrix, and then the eigenvector of the maximum eigenvalue is normalized and recorded as W, which is the proportion of the influence of the factors of the lower level on the corresponding factors of the upper level. This process is called hierarchical single sorting. In order to verify the correctness of the hierarchical single sorting results, the next step is to perform a consistency test. The so-called consistency test refers to determining the allowable range of inconsistency for A. The eigenvector corresponding to the maximum eigenvalue is used as the weight vector of the influence of the compared factor on a factor of the upper level. The greater the inconsistency, the greater the judgment error caused. After the hierarchical single sorting and passing the consistency test, the hierarchical total sorting is required. Knowing the weight of the middle layer to the target layer, and knowing the weight of the next layer of the middle layer on the middle layer factors, the total ranking of the layers is to see the weight value of the third layer to the target layer. Check the results of the exercise according to the ranking results.

[0150] Table 2 Weights of each criterion and sub-criterion after pairwise comparison and calculation

[0151]

[0152]

[0153] like Figure 4 As shown, the emergency drill evaluation system based on fuzzy analytic hierarchy process provided by the embodiment of the present invention includes:

[0154] The evaluation factor set determination module is used to determine the indicators that affect the evaluation object and form an indicator set. Emergency drills are divided into three levels: the first level is the ability to perform technical analysis tasks, the second level is the ability to perform drills, and the third level is the ability to assist decision-making;

[0155] The evaluation set establishment module is used to establish an evaluation set according to the needs of decision makers, such as excellent, good, pass, and poor. The present invention divides the evaluation into 5 grades, namely 10 points, 8 points, 5 points, 3 points, and 0 points;

[0156] The fuzzy membership determination module uses the expert scoring method to obtain the fuzzy membership matrix R mn , R mn is an m×n matrix, where m is the number of evaluation indicators and n is the number of review levels;

[0157]

[0158] Comprehensive evaluation module, the comprehensive evaluation vector D is obtained by the following formula i

[0159] D i =B i *D i

[0160] Among them B i is the criterion weight vector. The result is the final score of the fuzzy comprehensive evaluation of each scheme.

[0161] An application embodiment of the present invention provides a computer device, which includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor executes the steps of an emergency drill evaluation method based on a fuzzy hierarchical analysis method.

[0162] An application embodiment of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps of an emergency drill evaluation method based on a fuzzy hierarchical analysis method.

[0163] An application embodiment of the present invention provides an information data processing terminal, which includes an emergency drill evaluation system based on fuzzy analytic hierarchy process.

[0164] Example 1: Intelligent fire emergency drill evaluation system

[0165] In fire emergency drills, the evaluation method based on fuzzy analytic hierarchy process can be used to comprehensively evaluate the firefighters' response ability, effectiveness of task execution and decision-making level. It can be implemented in the following ways:

[0166] Software platform: Develop a fire emergency drill evaluation software that integrates the fuzzy hierarchical analysis method to automatically analyze and score the key links in the drill process. The software can evaluate the performance of each link according to different levels (technical execution, operational execution, decision support) and generate a comprehensive score.

[0167] Hardware equipment: Install sensors and cameras at the drill site to collect real-time action data of firefighters, including fire fighting, personnel evacuation, on-site command, etc. Combined with the intelligent scoring terminal, experts can enter scores in real time and generate the fuzzy membership matrix Rmn, which improves the convenience and accuracy of scoring.

[0168] The system can help fire departments evaluate the effectiveness of emergency drills in real time and comprehensively, providing a basis for drill improvements and training.

[0169] Example 2: Nuclear power plant emergency drill assessment system

[0170] The purpose of nuclear power plant emergency drills is to test the operator's response and coordination capabilities when an accident occurs. The entire drill process is evaluated using the fuzzy analytic hierarchy process:

[0171] Software platform: Design an emergency drill evaluation platform for nuclear power plants, which can conduct comprehensive evaluation by setting multi-level indicators, such as equipment operation, reaction time, decision-making ability, etc. The system generates a fuzzy membership matrix based on expert scores and calculates the overall score of the drill.

[0172] Hardware equipment: Combined with on-site data collection equipment, such as sensors and monitoring systems installed in the control room, real-time monitoring of the operator's response time and accuracy to the equipment operation provides accurate data information. The intelligent scoring terminal can summarize the scoring results at the end of the exercise and automatically generate an analysis report.

[0173] Through this intelligent assessment system, nuclear power plant management can clearly see the performance of operators in emergencies, identify potential problems and improve training and emergency plans in a timely manner.

[0174] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. It can be understood by a person of ordinary skill in the art that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0175] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principle of the present invention should be covered by the protection scope of the present invention.

Claims

1. An emergency drill evaluation method based on fuzzy analytic hierarchy process, characterized in that: include: S1, determination of the evaluation factor set: determine the indicators that affect the evaluation of emergency drills, form an indicator set, and divide emergency drills into three levels based on the hierarchical analysis method. The first level is the ability to perform technical analysis tasks, the second level is the ability to perform drills, and the third level is the ability to assist decision-making; S2, establishment of evaluation set: establish multiple evaluation levels according to decision-making requirements, set evaluation levels and assign corresponding scores, where the evaluation levels are excellent, good, pass, and poor, and the corresponding scores are 10 points, 8 points, 5 points, 3 points, and 0 points respectively; S3, determination of fuzzy membership: the fuzzy membership matrix Rmn is obtained by expert scoring method, Rmn is an m×n matrix, where m is the number of evaluation indicators and n is the number of evaluation levels; S4, calculation of comprehensive evaluation vector: The comprehensive evaluation vector Di is calculated by the following formula, Di = Bi \cdot R, where Bi is the criterion weight vector and R is the fuzzy membership matrix, and the comprehensive evaluation score of each scheme is obtained; S5, improvements in combination with software and hardware equipment: Comprehensive evaluation of emergency drills is achieved through an automated evaluation software platform, which integrates the fuzzy analytic hierarchy process to automatically perform hierarchical analysis of evaluation factors, generate fuzzy membership matrices, and calculate scoring and comprehensive scores; combined with intelligent hardware equipment, emergency drill data is collected in real time using sensors, cameras, etc., and the fuzzy membership matrix is ​​directly generated through intelligent scoring terminal equipment to improve the automation and accuracy of the evaluation process.

2. The emergency drill evaluation method based on fuzzy analytic hierarchy process as claimed in claim 1, characterized in that: The specific implementation steps are as follows: 1) Establish indicators; 2) In order to build a comparison matrix, pairwise comparisons are required to show the relative importance of all factors at the sub-criteria level to one factor at a higher level; the relevant experts are invited to rate the importance of each criterion; when constructing the comparison matrix, the number "1" is placed on the diagonal of the matrix, because the importance of the same criteria is equal; and, the upper right corner and the bottom; 3) After the pairwise comparison is completed, the eigenvalues ​​and their corresponding eigenvectors are calculated; The different steps are as follows: Calculate the product of each row of the matrix Where m is the number of indicators to calculate the nth root of the above result The criterion weight (W) is calculated according to the formula i ) 4) Check consistency: The consistency of the pairwise comparison matrix must be checked to determine whether the previous and subsequent judgments are consistent; this will be measured by calculating the consistency index and consistency ratio, the equation is as follows: 。 3. The emergency drill evaluation method based on fuzzy analytic hierarchy process as claimed in claim 1, characterized in that: The consistency check is performed by calculating The coherence index was calculated using the following equation When CR When 0.10, the consistency of the judgment matrix is ​​acceptable.

4. The emergency drill evaluation method based on fuzzy analytic hierarchy process as claimed in claim 1, characterized in that: The annotation set is defined as V = {excellent, good, pass, poor}. The evaluation team consists of 9 innovation and entrepreneurship experts who are invited to evaluate the rehearsal status of the three participating teams according to each sub-criteria. The number of votes of each expert on a certain level is taken as its membership, and the weight of each expert is equal. Taking the rehearsal level of the first participating team as an example, the calculation process based on the fuzzy evaluation method is as follows: The analytic hierarchy process obtains the weight vector of each sub-criteria, and the weight of each sub-criteria is multiplied by its fuzzy evaluation matrix to obtain the membership degree of each sub-criteria; Calculate the comprehensive evaluation vector; according to the calculated indicator weights, get the overall score of each team; the comprehensive evaluation result is: Similarly, fuzzy evaluations of the second and third participating teams can be obtained.

5. An emergency drill evaluation system based on fuzzy analytic hierarchy process for implementing the emergency drill evaluation method based on fuzzy analytic hierarchy process as claimed in any one of claims 1 to 4, characterized in that: include: The evaluation factor set determination module is used to determine the indicators that affect the evaluation object and form an indicator set; the emergency drill is divided into three levels: the first level is the technical analysis task execution capability, the second level is the drill stage execution capability, and the third level is the decision-making support capability; The evaluation set establishment module is used to establish evaluation sets according to the needs of decision makers, such as excellent, good, pass, and poor; the evaluation is divided into 5 grades, namely 10 points, 8 points, 5 points, 3 points, and 0 points; The fuzzy membership determination module uses the expert scoring method to obtain the fuzzy membership matrix R mn , R mn is an m × n matrix, where m is the number of evaluation indicators and n is the number of review levels; Comprehensive evaluation module, the comprehensive evaluation vector D is obtained by the following formula i Among them B i is the criterion weight vector, and the result is the final score of the fuzzy comprehensive evaluation of each scheme.

6. A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the emergency drill evaluation method based on the fuzzy analytic hierarchy process as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to execute the steps of the emergency drill evaluation method based on fuzzy analytic hierarchy process as described in any one of claims 1 to 4.

8. An information data processing terminal, comprising the emergency drill evaluation system based on fuzzy analytic hierarchy process as claimed in claim 5.

9. An intelligent fire emergency drill evaluation system based on the method of claim 1, characterized in that: The system includes the following modules: The software platform module, based on the fuzzy analytic hierarchy process, is used to comprehensively evaluate the technical execution, operational execution and decision support in fire drills, including: Data collection interface, used to receive real-time data during the exercise; A fuzzy membership matrix generating unit, used for converting the scoring data into a fuzzy membership matrix; The scoring analysis unit analyzes key indicators based on the fuzzy analytic hierarchy process and generates a comprehensive score report; Hardware device modules, including: Sensors and cameras installed at the drill site are used to collect real-time data on firefighters’ actions, including fire fighting, personnel evacuation, and on-site command; Intelligent scoring terminal, used to receive the scoring data input by experts in real time and transmit it to the software platform module; The data storage and visualization module is used to store exercise data and evaluation results, and provides graphical display functions to facilitate intuitive analysis of exercise effects.

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