35 results about "Fuzzy mathematics" patented technology

The invention discloses a multi-dimensional comprehensive evaluation method for permeability resistance of overlying strata of a working face, and belongs to the technical field of mine engineering and geological safety evaluation. 12 types of core factors such as rock strength, rock core quality, physical and mechanical properties of rock mass, hydrological properties and mining influence characteristics are integrated; a full-process evaluation framework of data acquisition, index system construction, weight distribution, comprehensive modeling and verification optimization is constructed, an analytic hierarchy process and an entropy evaluation method are coupled to determine index weights, a dynamic evaluation model is constructed in combination with a fuzzy mathematics theory, and accurate classification and risk early warning of the permeability resistance of the overlying strata are realized. According to the method, through comprehensive analysis of a plurality of factors, the accuracy of overlying strata permeability resistance evaluation can be improved, so that the underground water permeation path and the permeation amount are predicted more accurately, the uncertainty is reduced, the comprehensiveness and the accuracy of evaluation are remarkably improved, and a scientific basis can be provided for mine water disaster prevention and control and safe mining.

The invention discloses a post-evaluation method for a road maintenance project. The post-evaluation method comprises the following steps: S1, establishing a post-evaluation index system of an ordered hierarchical structure related to the road maintenance project; s2, calculating a correlation degree between indexes of each level in the post-evaluation index system; s3, on the basis of the association degree between the indexes of each level, constructing the weight of the index of each level; s4, constructing a fuzzy membership matrix of each level index; and S5, performing fuzzy comprehensive evaluation on the maintenance engineering project according to the weight and the fuzzy membership matrix of each hierarchy index, establishing a post-evaluation index system of three structural hierarchies, and adopting a comprehensive evaluation method based on an association degree-AHP-fuzzy mathematics theory to evaluate the maintenance engineering project. The method has the advantages of clear process, strong operability, subjective and objective combination and practical evaluation results.

The invention belongs to the technical field of oil and gas exploration and development, and relates to an accident early warning method and system for an FPSO mooring system under an extreme weather condition, and the method comprises the steps: building an accident scene library according to extreme weather data; grading accidents in the accident scene library according to expert opinions; fusing the expert opinions through a fuzzy mathematical method to obtain the weight of each expert opinion; combining expert opinions with the weights to obtain an accident prediction result of the key nodes of the FPSO mooring system; and inputting the time-varying extreme weather condition data and the key node accident prediction result into a dynamic Bayesian network model to obtain an accident early warning result of the FPSO mooring system. Accident occurrence probability calculation and accident early warning of the whole mooring system, subsystems and equipment units under the extreme weather condition are achieved, and data support is provided for field emergency protection.

The invention discloses a pipe-jacking tunneling machine type selection evaluation system and method based on fuzzy mathematics. The method comprises the steps that firstly, a multi-dimensional key evaluation index system covering planning and design requirements, hydrogeological conditions, surrounding environment factors and cutterhead configuration characteristics is constructed; secondly, establishing each index membership function aiming at different jacking pipe types and cutterhead configuration combinations by applying a fuzzy mathematics theory, and generating a membership matrix of jacking pipe adaptive type selection; and thirdly, determining a comprehensive index weight by adopting a subjective and objective weighting method fusion strategy, and finally constructing a fuzzy comprehensive evaluation model based on the membership matrix and the comprehensive weight, thereby realizing the adaptability quantitative evaluation of the pipe-jacking tunneling machines with different types and cutterheads. According to the method, the defect that traditional model selection depends on subjective experience is overcome, quantitative evaluation of pipe-jacking model selection under the complex stratum condition is achieved, the model selection accuracy and efficiency are improved, a reliable solution is provided for scientific model selection of the pipe-jacking tunneling machine, and the method has outstanding practicability and wide application prospects.

The invention relates to a river ecological environment forecasting method, in particular to a river ecological drought probability forecasting system based on fuzzy mathematics. The objective of the invention is to provide a fuzzy mathematics-based river channel ecological drought probability forecasting method so as to realize high-precision accurate forecasting of river channel ecological drought. According to the technical scheme, the river ecological drought probability forecasting method based on fuzzy mathematics comprises the following steps of 1, collecting and investigating basic data of a research area; 2, determining a fuzzy ecological drought membership function; 3, a natural runoff probability forecasting method; 4, calculating a fuzzy ecological drought occurrence possibility; and 5, evaluating the fuzzy ecological drought forecast precision.

The invention belongs to the technical field of rockburst prediction of laneway engineering, and particularly discloses a multi-parameter rockburst prediction method based on analytic hierarchy process and fuzzy mathematics, which takes lithologic conditions, stress conditions and surrounding rock conditions as evaluation indexes to form rockburst grading judgment criteria of 13 evaluation indexes, is beneficial to solving the problem of single selection of rockburst indexes, and improves the rockburst prediction accuracy. The rock burst prediction accuracy is improved; meanwhile, a comprehensive evaluation model is constructed by combining analytic hierarchy process and fuzzy mathematics and comprises a fuzzy mathematical model and a hierarchical structure model which are synchronously carried out, a fuzzy relation matrix is obtained through the fuzzy mathematical model, the weight of each evaluation index is obtained through the hierarchical structure model, and then output of the two models is fused to obtain a rock burst comprehensive prediction result. And by quantitatively analyzing the evaluation indexes, the subjectivity of expert experience is reduced, so that the prediction result is more stable and reliable.

The invention discloses a stage-by-stage dynamic flood control water level regulation and control method suitable for a hydropower station, and the method comprises the steps: obtaining watershed hydro meteorology, engineering operation and topographic geology multi-source basic data, and carrying out the Spark distributed cleaning, wavelet denoising and GAN missing value complementation preprocessing, thereby forming a standardized data set; an optimal flood season staging scheme is screened through coupling of qualitative analysis and a quantitative method; then, the safe pre-discharge amount and the effective pre-discharge time serve as sensitive factors, a flood control water level dynamic control model is built in combination with fuzzy mathematics and Copula joint distribution, and flood control water level process lines and regulation and control domain values of all flood season stages are generated; the safety of a regulation and control threshold value is verified through finite element simulation and a two-dimensional hydrodynamic model, a regulation and control scheme meeting flood control safety and efficient utilization of water resources is output, dynamic and accurate regulation and control of the flood control water level of the hydropower station are achieved, and the problems that in traditional static flood control water level dispatching, the contradiction between flood control and benefit making is prominent, the staging precision is low, and safety verification is insufficient are solved.

The invention discloses a power energy type selection method, device and system of an inland ship, a storage medium and a computer program product, and belongs to the technical field of inland ship engineering.The method comprises the steps that an evaluation index set and alternative power energy types are determined, qualitative evaluation information of all indexes is converted into a fuzzy relation matrix based on the fuzzy mathematical theory, and the fuzzy relation matrix is calculated; and calculating the weight value of each index by adopting an entropy weight method, performing fuzzy synthesis operation in combination with the weight value and the fuzzy relation matrix, normalizing the result, and finally determining the adaptive target power energy type by solving the total score of evaluation and calculating the relative proximity of each alternative type and the optimal solution. According to the scheme, quantification, comprehensiveness and precision of inland ship power energy selection are achieved.

The application discloses a kind of inland river ships power energy selection method, device, system, storage medium and computer program product, belong to inland river ships engineering technical field, this method includes: determining evaluation index set and alternative power energy type, qualitative evaluation information of each index is converted into fuzzy relation matrix based on fuzzy mathematics theory, entropy weight method is used to calculate the weight value of each index, combined with weight value and fuzzy relation matrix carries out fuzzy synthesis operation and the result is normalized, finally by solving evaluation total score, the relative closeness of each alternative type and optimal solution is calculated, the target power energy type of adaptation is determined.The scheme realizes the quantification, overall and precision of inland river ships power energy selection.

This invention discloses a method for evaluating the development effect of air foam flooding in low-permeability reservoirs, specifically implemented according to the following steps: dividing the reservoir into injection-production units, collecting dynamic production data of these units, calculating the instantaneous gas-liquid ratio, instantaneous pressure-flow index, and instantaneous apparent resistance coefficient to obtain the trend of injection capacity changes; statistically analyzing the cumulative air foam injection volume and the cumulative oil, water, and gas production of the wells to calculate the trend of foam resistance factor changes over time; calculating the reserve utilization degree and monthly production decline rate to evaluate the oil displacement effect of the wells in the block; determining the weight values ​​of each evaluation factor using fuzzy mathematical hierarchical analysis and expert scoring to construct an evaluation system; and quantitatively and comprehensively evaluating the air foam flooding development effect of the reservoir using the evaluation system combined with a graded scoring method. This invention has high applicability, a simpler process, and good results, making it suitable for evaluating the development effect of air foam flooding.

The invention relates to the technical field of pumped storage power station design and operation management, and discloses an evaluation index system construction method applied to an underground powerhouse of a pumped storage power station, which comprises the following steps: S1, designing and implementing a data acquisition scheme, comprehensively collecting key evaluation index data of the underground powerhouse of the pumped storage power station, the method includes the steps of collecting data including but not limited to building structures, equipment performance, operation efficiency and economical efficiency, conducting normalization processing on the collected data, eliminating data differences, and providing an accurate data basis for follow-up evaluation. Key design parameters in detailed planning data of a power station are deeply mined to serve as a solid foundation for performance evaluation, normalization processing of data is achieved by means of an advanced data collecting and processing module, difference and inconsistency between the data are eliminated, and therefore the accuracy of an evaluation result is greatly improved, and meanwhile the accuracy of the evaluation result is improved. The analytic hierarchy process and the fuzzy mathematics theory are adopted to scientifically process the indexes, so that the comprehensiveness and the flexibility of the evaluation system are ensured.

The invention relates to a marketing topic key user and influence measurement method based on multi-feature fusion, and belongs to the technical field of social network analysis. According to the method, modeling is performed on text data through an LDA topic model, and meanwhile, a marketing topic set is extracted by utilizing a clustering algorithm. The topic correlation is used as an index for measuring the correlation degree between the text and the topic, and the quality and correlation of the text and the topic are effectively evaluated. Secondly, introducing a fuzzy mathematical theory, and establishing a fuzzy comprehensive evaluation model based on information entropy; various characteristics of the user are fused as evaluation indexes, and the weight is determined by using an entropy weight method, so that the interference of subjective preference is reduced. And finally, constructing a multi-dimensional heterogeneous network based on marketing topics. By fusing the attribute characteristics of each node and utilizing the random walk strategy, the user behavior and interaction information are comprehensively considered, so that the influence of the user in the marketing topic is more comprehensively evaluated.

The invention relates to the technical field of pipeline thickness detection, and discloses a method for detecting the thickness of a pipeline, which comprises the following steps: S1, measuring the wall thickness based on a digital detector array; s2, verifying a design benchmark and calculating the minimum safe wall thickness; s3, identifying a multi-factor damage mode; s4, dynamic damage evaluation and residual life prediction; s5, comprehensive safety risk assessment based on the fuzzy theory; and S6, a reliability-based maintenance optimization decision is made. According to the invention, through a digital detector array technology and an innovative image processing algorithm, accurate and rapid measurement of the wall thickness of the pipeline with the coating layer is realized, and the coating layer does not need to be damaged; through a measurement-prediction-verification-correction closed loop, the prediction accuracy is improved; uncertainties are processed by introducing fuzzy mathematics, so that a risk assessment result is more in line with engineering practice; on the basis of a reliability theory and an optimization algorithm, a maintenance strategy is upgraded from regular prevention to condition-based prediction, so that the operation and maintenance cost is remarkably reduced while the safety is ensured.

The invention relates to a method for determining the recruitment process of pilots using artificial intelligence-based fuzzy multi-criteria decision-making models, which creates an artificial intelligence-based decision-making model by considering numerous criteria such as socio-cognitive abilities, performance competencies, communication skills, visual perspective perception, and spatial working range in the selection process of airline pilots; processes and evaluates uncertain, vague, and subjective data with fuzzy logic techniques (fuzzy TOPSIS, fuzzy VIKOR, and fuzzy PROMETHEE) and enables the ranking of candidates; transforms non-numerical linguistic terms into fuzzy mathematical models; ensures the integration of qualitative and quantitative data and the transformation of uncertain data into reliable results in pilot selections; facilitates the successful ranking of candidate pilots and the selection of competent personnel for safe operations by companies; improves the recruitment process of pilots and utilizes an artificial intelligence-based decision-making model application in their selection

The invention relates to the technical field of vehicle network interaction evaluation, and particularly discloses a vehicle network interaction service multi-dimensional effect evaluation method and system, and the method comprises the steps: constructing a hierarchical structure model of a vehicle network interaction evaluation index system; obtaining an index weight of the vehicle network interaction evaluation index system; constructing a fuzzy judgment matrix, calculating an initial weight of an index, and carrying out consistency check; constructing a fuzzy comprehensive evaluation model; and performing fuzzy comprehensive evaluation to obtain a comprehensive evaluation result. Different sub-targets are selected from the technical, economic, environmental and social dimensions, and target acquisition means are formulated, so that a vehicle network interactive service multi-dimensional effect evaluation index system is constructed. The index weight is determined through the fuzzy analytic hierarchy process, the fuzzy comprehensive evaluation method combines fuzzy mathematics and the membership principle, some fuzzy evaluation standards which are difficult to express by accurate digits are considered, the fuzzy decision problem is solved, qualitative analysis and quantitative analysis are combined, and the evaluation result is more comprehensive and reasonable.

The application discloses an open-pit mine blasting disturbance landslide intelligent perception monitoring and early warning method and system, and relates to the technical field of engineering monitoring. The method combines numerical simulation analysis and an intelligent perception network model to realize accurate quantification and intelligent early warning of the stability of a slope under the influence of blasting disturbance. Through discrete-continuous coupling numerical simulation technology, the stability of the slope is simulated before blasting construction, the safety factor of the slope is extracted, and a high-precision slope stability evaluation system is constructed. A fuzzy mathematics method is introduced to construct a stability membership function, multiple parameters obtained through numerical simulation calculation are mapped into fuzzy variables, and quantitative description of the stability grade of the slope under different blasting conditions is formed. Subsequently, an intelligent perception network model is used in combination with numerical simulation results and field monitoring data to train the stability membership function through improvement of physical intelligence, a slope stability prediction model considering multiple factors is established, and seamless connection from numerical analysis to intelligent early warning is realized.

The invention discloses an intelligent sensing, monitoring and early warning method and system for landslide caused by blasting disturbance of a surface mine, and relates to the technical field of engineering monitoring. According to the method, numerical simulation analysis and an intelligent sensing network model are combined, and accurate quantification and intelligent early warning of the slope stability under the influence of blasting disturbance are achieved. Through a discrete continuous coupling numerical simulation technology, the slope stability is simulated before blasting construction, the slope safety coefficient is extracted, and a high-precision slope stability evaluation system is constructed. A fuzzy mathematical method is introduced to construct a stability membership function, multiple parameters obtained through numerical simulation calculation are mapped into fuzzy variables, and quantitative description of slope stability levels under different blasting working conditions is formed. And then, an intelligent sensing network model is combined with a numerical simulation result and field monitoring data, a stability membership function is trained by improving a physical intelligent sensing network, a slope stability prediction model comprehensively considering multi-factor influence is established, and seamless connection from numerical analysis to intelligent early warning is realized.

This invention discloses a multi-level, multi-dimensional comprehensive evaluation method for the overall precision retention of CNC machine tools, relating to the field of CNC machine tool performance evaluation technology. The method first constructs an evaluation system of "target layer—criteria layer—indicator layer" based on the type and requirements of the machine tool. The target layer is the comprehensive score for the overall precision retention of the CNC machine tool; the criteria layer covers geometric accuracy, positional accuracy, and machining accuracy; and the indicator layer consists of key indicators with high importance selected from various precision indicators under each precision set. During the calculation process, fuzzy mathematics is used to process the evaluation values ​​of each indicator, and the Lagrange multiplier method is used to integrate the subjective weights of the analytic hierarchy process (AHP) with the objective weights of the proportional weighting method to solve for the optimal combination of weights. Finally, through layer-by-layer weighted summation, a comprehensive evaluation score for the overall precision retention of the machine tool is obtained. This invention overcomes the limitations of single weighting and achieves a scientific and comprehensive quantitative evaluation of the overall precision retention capability of CNC machine tools.

The invention discloses an electric power material green package evaluation method combining a network analysis method and a rough set theory, and belongs to the field of electric power material green package evaluation. According to the method, through grading the whole life cycle of typical electric power materials, green packaging related flow nodes of five stages of raw material acquisition, production and processing, transportation and distribution, use and waste treatment are determined, and a multi-level and all-around comprehensive evaluation index system is constructed. And establishing an index full-connectivity relation matrix by using a network analysis method, and realizing quantitative evaluation of green packaging by combining fuzzy mathematics and a weighted scoring algorithm. Furthermore, effectiveness verification and redundancy judgment are performed on the evaluation indexes by adopting a rough set theory, so that the scientificity and simplification of the system are improved. According to the method, a scientific decision basis can be provided for enterprise green purchasing and packaging management, and automatic evaluation and dynamic feedback of the electric power material packaging green degree are realized.

The invention discloses a multi-modal remote sensing image classification method and device and a storage medium, and the method comprises the steps: constructing a fuzzy enhanced gating fusion Mama network which comprises a feature extraction and fuzzy processing main network, a dual-branch gating fusion unit and a classifier; the feature extraction and fuzzy processing main network comprises a spatial Mama block, a spectrum Mama block and an HSI exclusive fuzzy block; the double-branch gating fusion unit is a gating cross-modal fusion block; the classifier is composed of an average pooling layer, a linear layer and a Softmax layer; wherein the HSI exclusive fuzzy block dynamically models fuzzy distribution of spectral characteristics through a learnable membership function based on a Gaussian fuzzy theory and a fuzzy mathematics principle; calculating the difference between the prediction category and the real category by adopting a cross entropy loss function, and updating network parameters through back propagation iteration by utilizing an Adam optimizer until the loss function converges or reaches a preset number of iterations, so as to complete network training; and classifying the multi-modal remote sensing images based on the trained network.

The invention discloses a fine geological modeling and development potential analysis method, which comprises the following steps of: S1, evaluating a gas advantage enrichment area by adopting a method of combining fuzzy mathematics and analytic hierarchy process to obtain an evaluation value; s2, geological modeling and numerical simulation research optimization are carried out, residual gas reserve prediction is carried out according to the evaluation value, and a prediction result is obtained; and S3, according to a prediction result, economic benefit-oriented layered residual gas potential tapping and well pattern optimization research is carried out. According to the fine geological modeling and development potential analysis method, the problem that the prior art cannot accurately describe the dominant gas-bearing reservoir, so that the optimal selection of the drilling position is not accurate enough is solved.

The invention relates to the technical field of oil and gas field development, in particular to a grey correlation analysis and fuzzy mathematics-based multi-factor water flow dominant channel identification method, device and equipment and a storage medium. The grey correlation analysis and fuzzy mathematics-based multi-factor water flow dominant channel identification method comprises the following steps of: obtaining dynamic and static characterization indexes which influence the development of a water flow dominant channel, and obtaining dimensionless dynamic and static characterization indexes; the correlation degree of the dimensionless dynamic and static characterization indexes is obtained, the dimensionless dynamic and static characterization indexes with the correlation degree larger than n are optimized, the membership degree and the weight of the dimensionless dynamic and static characterization indexes with the correlation degree larger than n are obtained, and a single well judgment coefficient is obtained; and judging the development degree of the water flow dominant channel in the single-well surrounding area. According to the method, various basic dynamic and static data which can be obtained by a common oil field are comprehensively considered, the influence of human subjective factors is small in the later comprehensive treatment and water injection regulation of the oil field, the development condition of the water flow dominant channel around the well can be accurately judged, the well opening rate of the oil-water well is increased, and the daily oil increment of a single well is increased.

This invention provides a method and system for safety risk assessment of urban building clusters based on InSAR and fuzzy mathematics theory, belonging to the technical field of urban building cluster safety risk assessment. This invention acquires temporal deformation monitoring data of buildings within a target area using PS-InSAR technology; it traces back to engineering specifications to determine eight risk deformation assessment indicators and their classification thresholds; and calculates the standardized risk index of each assessment indicator through the relative relationship between deformation data and risk level thresholds. Addressing the differences in indicator contribution and the fuzziness of threshold boundaries, it introduces the analytic hierarchy process to determine weights, and combines fuzzy comprehensive evaluation theory to construct an assessment model, outputting the comprehensive risk level of the buildings. This method constructs a systematic and quantifiable risk assessment process, realizing automated assessment across the entire chain of "deformation monitoring - specification benchmarking - fuzzy decision-making," providing reliable technical support for safety early warning of urban building clusters.

The invention belongs to the technical field of damage analysis, and provides a structural damage multistage cause mechanism analysis method, which analyzes and identifies structural damage influence factors based on improved fusion of STPA, HAZOP and FMEA, provides a complete factor evidence chain, and provides a multistage cause mechanism analysis method for various structural damages in combination with fuzzy mathematics and a structural interpretation model. And the judgment fuzziness problem is fully considered. Aiming at the field of offshore floating photovoltaic, the method can reflect the real relationship among the influence factors of the offshore photovoltaic structure damage more practically, analyzes the action relationship among the influence factors from multiple dimensions, and accurately expresses the generation and development path of the offshore floating photovoltaic structure damage; the method can also be applied to the related fields of various engineering structures such as various offshore platforms, bridge buildings, ground infrastructures, tunnels, large industrial equipment structures and the like.

The application discloses a tea disease degree analysis method based on OpenCV and fuzzy mathematics, and belongs to the technical field of image target detection. In order to overcome the problems in the prior art, the application provides a tea disease degree analysis method based on OpenCV and fuzzy mathematics. The method constructs a tea disease evaluation system, comprehensively analyzes the tea disease by using the OpenCV and deep learning method, and uses the OpenCV to recognize the proportion of tea disease spots. The method not only solves the problems of time-consuming, labor-consuming and low efficiency of plant protection personnel, but also avoids the subjectivity of the expert scoring method by combining the fuzzy mathematics method. The tea disease degree evaluation result is more real, the evaluation method is easy to understand, the operation is simpler, the accuracy of the tea disease degree analysis is improved, and the method has universality.

This invention relates to the field of wind turbine blade technology, and discloses a method, device, equipment, and program product for predicting the fatigue life of wind turbine blades. Based on a three-dimensional geometric model, this invention analyzes the stress distribution of the wind turbine blade under different wind speeds using transient dynamics, and generates a finite element model of the target wind turbine blade composite material containing different simulated damages, achieving accurate stress calculation under different operating conditions. By using modal analysis and cubic spline interpolation, two indicators are obtained: the strain modal change rate and direct indicators for damage location, improving the sensitivity and accuracy of identifying and locating minor damages. By using these two indicators combined with rainflow counting to generate a stress spectrum, the load characteristics of critical nodes can be accurately extracted. By combining a skewed semi-trapezoidal membership function and a low-amplitude load strengthening function constructed based on fuzzy mathematics theory, the calculated initial total fatigue damage value is corrected, eliminating stress ambiguity and load influence, significantly improving the accuracy of life prediction.

The invention is suitable for the technical field of mine geology, hydrogeology and mine water prevention and control engineering, and provides a system and a method for evaluating the water barrier performance of a third-system weakly cemented stratum based on multi-source monitoring, and the method comprises the following steps: collecting multi-source monitoring parameters of the third-system weakly cemented stratum through an instrument; missing and abnormal value identification, normalization processing, noise suppression and feature extraction are carried out on the data, and a comprehensive evaluation data set is constructed; establishing an index system by adopting an analytic hierarchy process and determining the weight of each index; performing quantitative scoring on the water blocking performance of each drill hole based on a fuzzy mathematics principle and a comprehensive scoring function; and quantitative calculation and grading are performed on the water blocking performance in combination with a weighted average method, and a grading result and decision suggestions of waterproof coal pillar setting and grouting transformation are automatically output. According to the method, quantitative evaluation of the water barrier performance of the weakly cemented stratum is realized, and scientificity and safety of mine waterproof design are improved.

The invention relates to the technical field of hydropower station operation and maintenance management, and provides an intelligent maintenance method and system for a hydropower station unit, and the system comprises a hydropower station data collection module, a fault diagnosis module, an operation and maintenance prompt module, and an operation and maintenance supervision module. Related data of the hydropower station are preprocessed through the fault diagnosis module to obtain diagnosis data, multiple pieces of fault probability level data are obtained from the preprocessed diagnosis data through the fault diagnosis model and the multiple expert models, and then a risk probability value is obtained through quantification of the fault risk assessment model based on the fuzzy mathematical method; according to the method, the risk probability value is obtained based on multi-model data quantification, the risk assessment accuracy is high, the probability of misinformation is reduced, and then the work pressure of operation and maintenance personnel is reduced; and meanwhile, the system can also perform safety detection on the operation and maintenance personnel entering the site, so as to remind the personnel who do not accord with the safety detection to leave the site to ensure that the personnel safety is in supervision.

This invention relates to the field of chemical safety emergency management technology, and discloses a method for constructing multi-dimensional scenarios of chemical safety accidents and making emergency response decisions. The key technical points are: constructing multi-dimensional scenarios of major and serious chemical safety accidents; constructing a scenario inference model based on Bayesian networks and fuzzy mathematics; and evaluating emergency response decisions based on the entropy weight method-TOPSIS. The invention employs knowledge element theory to construct multi-dimensional accident scenarios, combines fuzzy Bayesian networks to realize dynamic evolution and inference of scenarios, and uses the entropy weight-TOPSIS method to evaluate and optimize emergency response plans, thereby forming a systematic and quantitative method for accident scenario construction and decision support.