89 results about "Fuzzy analytic hierarchy process" patented technology

The invention belongs to the technical field of energy system optimization, and particularly provides a multi-objective collaborative optimization method and system for an integrated energy system. Comprising the steps of generating a multi-dimensional uncertainty time sequence scene of the integrated energy system; establishing a high-fidelity dynamic behavior model library; defining decision variables, and constructing a multi-target two-stage stochastic programming optimization model by taking the economy, environmental protection and toughness of the comprehensive energy system as a three-dimensional optimization target; solving the multi-objective two-stage stochastic programming optimization model by adopting a self-adaptive multi-objective evolution algorithm assisted by an agent model; and according to a solving result, realizing a mixed multi-attribute decision based on a fuzzy analytic hierarchy process and a multi-criterion compromise solution sorting method. According to the method, the park-level IES global optimal, high-robustness and high-efficiency planning design is realized from uncertainty modeling, equipment characteristic description and large-scale solution to multi-attribute decision full-chain innovation.

The invention provides a rural smart energy system toughness evaluation method and system based on comprehensive empowerment, and the method comprises the steps: constructing an index system for rural smart energy system toughness evaluation, including static toughness indexes and dynamic toughness indexes of a power grid, a gas grid, a water grid and a heat supply network, and obtaining the original value of each index; adopting a CRITIC method to determine the objective weight of each level index; determining the subjective weight of each level index by adopting a fuzzy analytic hierarchy process; comprehensive weights of the indexes are obtained based on the objective weights and the subjective weights of the indexes of all levels, the toughness evaluation values of all the indexes are calculated through step-by-step weighted aggregation based on the comprehensive weights of the indexes and the normalized original values of all the indexes, and multi-energy coupling system toughness quantitative evaluation is carried out. According to the method, subjective and objective combined index empowerment is utilized, a'static-dynamic 'two-dimensional evaluation framework is established, and the problems that a traditional method neglects the dynamic characteristics of multi-energy coupling and static toughness evaluation is insufficient are solved.

The invention discloses a power distribution network self-healing strategy generation method and system which are used for solving the technical problem that when an existing power distribution network self-healing strategy generation method faces a fault, simple label matching is carried out only according to a fault type and a line basic structure, and the rapid power restoration quality of a power distribution network is poor. The method comprises the following steps: acquiring surface temperature distribution data of power distribution network equipment and abrupt change high-frequency transient signals of power distribution line nodes; constructing a dynamic topological graph of the power distribution network, and constructing a dynamic three-dimensional matrix according to the dynamic topological graph of the power distribution network, the surface temperature distribution data of the power distribution network equipment and the abrupt change high-frequency transient signals of the power distribution line nodes; generating a plurality of priority self-healing strategies according to a preset basic strategy library, the power distribution network optimization function and the power distribution network constraint conditions; and based on a fuzzy analytic hierarchy process, screening each priority self-healing strategy by adopting a power distribution network optimization function according to the dynamic three-dimensional matrix, and determining a target power distribution network self-healing strategy.

The invention provides a soft rock damming safety evaluation method and system based on fuzzy analytic hierarchy process, and belongs to the technical field of water conservancy and hydropower engineering safety evaluation, and the method comprises the steps: constructing a target layer-criterion layer-index layer three-level evaluation model framework; determining indexes in the index layer according to the evaluation items of the item layer; calculating the weight of each index by adopting an analytic hierarchy process; establishing a fuzzy relation matrix; performing synthesis operation on the weight of each index and the fuzzy relation matrix by using a fuzzy synthesis operator to obtain an evaluation vector; and judging the safety level of damming according to the evaluation vector. According to the method, the confidence interval based on credibility distribution is constructed, a traditional single evaluation result is replaced, uncertainty in the evaluation process is fully reflected, a more comprehensive and scientific information basis is provided for decision makers, and therefore the decision makers are assisted to make more reasonable and reliable engineering decisions.

The invention discloses an industrial control system security protection capability assessment method and system. The method comprises the following steps: acquiring key chip models, operating systems, monitoring software version information and service port information of n selected industrial control systems; the method comprises the following steps: acquiring a vulnerability list under a decision-making layer index and a corresponding threat value, constructing a fuzzy consistency judgment matrix from a target layer to a decision-making layer and from the decision-making layer to a scheme layer, performing fuzzy consistency verification on the constructed judgment matrix, calculating the weight of the decision-making layer index for the matrix passing the consistency verification, forming a weight matrix, and determining the vulnerability list according to the weight matrix. The evaluation results of the safety protection capability of the selected n industrial control systems are calculated through a fuzzy analytic hierarchy process, an analytic hierarchy model including hardware, software, protocols and other multi-dimensional indexes is constructed, vulnerability database retrieval and field test data are combined, a quantitative evaluation system is established through the fuzzy analytic hierarchy process, and the safety protection capability of the industrial control systems is evaluated. The method has the advantages of improving evaluation index systematicness, realizing multi-dimensional safety factor quantitative analysis and improving evaluation result objectivity.

The invention relates to the field of deep coal bed gas development and reservoir reconstruction engineering, in particular to a compressibility evaluation method for a deep coal bed gas reservoir containing dirt band. The invention discloses a method for evaluating compressibility of a deep coal bed gas reservoir containing dirt band. The method comprises the following steps: obtaining a normalized coal rock brittleness index, a normalized coal body structure index, a normalized fracture toughness index, a normalized ground stress heterogeneity index, a normalized dirt band and coal rock layer stress difference index, a normalized fracture surface density index and a normalized mechanical specific energy index; converting the data into dimensionless numerical values, and unifying the value range to an interval of [0, 1]; and performing hierarchical weight assignment by using a triangular fuzzy analytic hierarchy process to form a deep coal rock compressibility index, and establishing an evaluation standard according to the deep coal rock compressibility index. According to the method, a theoretical basis is provided for optimal decision-making of the on-site deep composite coal rock reservoir fracturing transformation horizon.

The invention discloses a comprehensive assessment method for weak links of a power system involving multi-dimensional indexes in extreme weather. The method comprises the following steps: firstly, establishing a multi-dimensional index system containing safety and optimized operation, wherein the system covers the line outage probability, the load loss probability, the electric energy insufficiency expectation, the line heavy load rate and the network loss rate; secondly, constructing a line fault model and a cascading fault model under extreme storm weather, describing fault probability change in combination with a Gaussian function and Weibull distribution, and simulating line segment failure by adopting Poisson distribution; a system state after a fault is calculated through a direct-current optimal power flow model, and a large amount of simulation data is obtained in combination with a non-sequential Monte Carlo method. Furthermore, a fuzzy analytic hierarchy process and a CRITIC method are adopted to calculate subjective and objective weights respectively, subjective and objective comprehensive evaluation is realized through weight fusion, and weak links of the system are identified. The method gives consideration to evaluation scientificity and calculation efficiency, and is suitable for real-time risk evaluation and weak link identification of a large-scale power system in extreme weather.

The invention discloses a single-phase earth fault comprehensive discrimination method based on multiple fault criteria and weight dynamic calculation, and the method comprises the steps: collecting phase voltage and zero sequence voltage characteristic quantities before and after a power distribution network fault, and discriminating the type of a single-phase earth fault according to the change rule of the characteristic quantities; the method comprises the following diagnosis steps: a, adopting a new zero-sequence current method, calculating the zero-sequence current break variable of each feeder switch based on a zero-sequence current reference value, and achieving the positioning of a fault feeder and a section; b, a new phase current method is adopted, a phase current fault characteristic quantity is defined based on the sum of three-phase current difference values before and after a fault, and positioning of a fault feeder line and a section is achieved; constructing an evaluation model by adopting a fuzzy analytic hierarchy process according to the fault category judged by the parallel diagnosis, and dynamically determining a weight coefficient; and performing weighted fusion on the confidence coefficient according to the weight coefficient to obtain the comprehensive fault probability of each feeder line, selecting the feeder line with the maximum comprehensive fault probability as a fault feeder line, and judging a fault interval.

The invention relates to the technical field of train wireless network communication, in particular to an information security risk assessment method for a train wireless network control system, which comprises the following steps of: establishing an attack tree model according to a risk assessment object, assessing the occurrence possibility of a security event by using a triangular fuzzy number, analyzing attack paths, and calculating the interval probability of each attack path, the method comprises the following steps: obtaining a point probability according to an attack path interval probability, calculating an attack occurrence possibility, evaluating a security event influence by using a fuzzy analytic hierarchy process, calculating a security event risk value by quantifying the occurrence possibility and an influence value of the security event, and determining a risk level and a security level of a system according to a system risk evaluation value. And formulating corresponding protection requirements. According to the method, the information security risk of the train wireless network control system is effectively evaluated and managed, a basis is provided for formulating an effective security protection strategy, and the overall security capability of the train wireless network is improved.

The application discloses a kind of underwater vehicle degradation characterization method, belong to underwater vehicle technical field, steps are as follows: the full life cycle data collected by sensor carried on underwater vehicle is collected, data is preprocessed;Feature extraction is carried out to the data after pre-processing;Design a kind of layered cooperation particle swarm optimization algorithm based on fuzzy analytic hierarchy process, the selected feature is obtained by screening the extracted feature, and the final optimal feature combination is obtained;Dynamic correlation mahalanobis distance is used to weight and fuse the selected feature, and the fusion feature is obtained;Using the UMAP dimension reduction method with degradation perception, the degradation process is divided into three stages of early, middle and late according to the full life cycle data, an independent UMAP submodel is trained in each stage, and then the degradation index is fused by transfer learning.This application breaks through the limitation of single signal, realizes multi-component coupling degradation recognition, strengthens early degradation capture, reduces the rate of missed judgment and fault risk, has environmental dynamic adaptability, and adapts to complex deep-sea working conditions.

The application relates to an energy storage power station consistency evaluation method, system, equipment and medium based on an improved MK algorithm, and comprises the following steps: based on a pre-established energy storage power station consistency evaluation index system, obtaining original observation data of each index, and forming a standardized data matrix and a fuzzy judgment matrix; based on the standardized data matrix and the fuzzy judgment matrix, a combination weight vector is obtained through a combination weight assignment method of fuzzy analytic hierarchy process-gray correlation degree-game theory; based on the improved MK algorithm, clustering analysis is performed on a data set of an energy storage power station to be evaluated, and the consistency of the energy storage power station is evaluated in combination with the combination weight vector, so that a consistency evaluation result is obtained. The application can be widely applied to the technical field of energy storage power station safety risk evaluation.

The invention discloses an acquisition terminal test case priority ranking method based on a fuzzy analytic hierarchy process, which comprises the following steps of: applying the fuzzy analytic hierarchy process to the field of acquisition terminal test, and quantizing fuzzy evaluation opinions of experts by triangular fuzzy through constructing a'target-criterion-scheme 'hierarchical structure; fusing a multi-expert judgment matrix by adopting a weighted geometric averaging method, and optimizing a criterion weight and performing defuzzification in combination with consistency check; and comprehensive priority scores of the test cases are calculated through weighted summation, a sorting sequence from high to low is generated, and meanwhile, dynamic adjustment during demand change is supported. According to the method, the fuzzy demand quantification accuracy can be improved by 60%, the expert dispute rate is reduced to 8% or below, the regression test error detection efficiency is improved by 40%, and the method adapts to the multi-scene test demand of the acquisition terminal.

The invention discloses an equipment health assessment method, system and equipment in dynamic operation and maintenance of a power distribution network based on point cloud three-dimensional visualization and a storage medium, and relates to the technical field of power distribution network monitoring and assessment, and the method comprises the steps: obtaining the original point cloud data of a power distribution network scene and the operation state data of target equipment in the power distribution network; processing the original point cloud data to construct a three-dimensional point cloud model of the power distribution network scene, and performing semantic segmentation on the equipment point cloud; based on the historical operation state data of the target equipment, performing time sequence prediction on the degradation index of the operation health state of the target equipment by adopting a GPR (Gaussian Process Regression) model to obtain a probabilistic prediction result containing a prediction mean value and a prediction variance; evaluating the current comprehensive health state of the target equipment by adopting a fuzzy analytic hierarchy process (FAHP) model to obtain a comprehensive health evaluation score; dynamically adjusting the fusion weight of the probabilistic prediction result and the comprehensive health assessment score by using the prediction variance, and calculating to obtain a hybrid prediction health index HPHI; and respectively mapping the HPHI and the prediction variance into visual attributes, and rendering the target equipment in the three-dimensional scene. According to the method, the dynamic visual accurate quantitative evaluation of the health state of the target equipment and the reliable prediction of the future trend in the dynamic operation and maintenance of the power distribution network are realized.

The application discloses a kind of multi-source sensing and space-time matching inland waterway navigability test and evaluation method, belong to waterway engineering and ship test evaluation technical field.Pass through the layout shore base monitoring unit and integrated shipboard perception unit, unified space-time datum is constructed;Based on unified space-time datum, space-time matching fusion is carried out to ship dynamic response data and waterway environment data, forms ship response-environment excitation coupling data set, constructs three-layer navigability performance evaluation system, uses improved fuzzy analytic hierarchy process to determine index weight in combination with three scale method and optimal transfer matrix, uses cloud model to complete index quantization and comprehensive evaluation value calculation, finally determines waterway navigability effect grade according to comprehensive expectation value.The application realizes the quantitative evaluation of multi-source data accurate fusion and subjective and objective fusion, forms standardization test and evaluation process, truly reflects the coupling navigability characteristics of waterway and ship, provides technical support for inland waterway engineering acceptance, navigation safety management and waterway optimization design.

The application discloses an offshore renewable energy development evaluation method and system, which comprises the following steps: obtaining offshore renewable energy development data; using a fuzzy analytic hierarchy process to evaluate the offshore renewable energy development data to obtain a preliminary evaluation result; determining index weights for evaluating the offshore renewable energy development data based on the preliminary evaluation result; performing index value assignment and data standardization processing on the index weights to obtain a comprehensive evaluation result according to the processing result. The application can effectively evaluate offshore renewable energy development.

The invention discloses a construction risk evaluation method for a tunnel crossing a strong outburst coal seam group. According to the evaluation method, 15 risk factors including geology, construction technologies and operators are included into a comprehensive evaluation framework; a fuzzy analytic hierarchy process is adopted to obtain global comprehensive weights of 15 risk factors, the weights serve as parameters to be input into a back propagation neural network, dynamic risk prediction is achieved, and an intelligent risk assessment model capable of being updated in real time is constructed. The problems of subjectivity and dependency relationship among indexes in expert judgment are effectively solved, and the risk of the complex system is dynamically simulated and predicted by the aid of powerful nonlinear mapping and learning capabilities of the system. The method significantly improves the tunnel construction risk identification precision and early warning capability in a complex geological environment, and can be widely applied to high-risk underground engineering safety management.

The invention discloses a dynamic task efficiency evaluation method for a man-machine cooperation system, and the method comprises the steps: carrying out the multi-state modeling of a cooperation system which comprises a movable platform and an operation unit, and constructing a state transition relation; respectively establishing dynamic efficiency models of the platform and the operation unit; constructing a time-varying availability matrix and a reliability matrix based on the model and the state relationship; constructing a multi-dimensional capability index system, fusing the objective weight of the entropy weight method and the subjective weight of the fuzzy analytic hierarchy process to obtain a comprehensive weight, and further constructing a time-varying capability matrix; and performing synthesis operation on the three matrixes, and outputting a dynamic efficiency evaluation result of the whole task process. According to the method, the defects of insufficient description of a dynamic process and human factors, strong weight subjectivity and the like of a traditional method are overcome, and accurate and reasonable dynamic evaluation of the task efficiency of the complex man-machine cooperation system is realized.

The present application relates to coal and gas outburst disaster prediction technical field, especially based on the coal and gas outburst prediction method of fuzzy analytic hierarchy process theory of extension, including the construction of outburst risk prediction system;The construction of matter element extension prediction framework;Determine the weight of prediction index;Calculate the correlation and its bias of risk grade;The present application comprehensively considers coal seam depth, coal seam solidity coefficient, coal seam gas content, coal seam damage type, gas pressure, gas diffusion initial velocity and other key indexes of coal and gas outburst, and the objective weight and subjective weight of various prediction indexes can be calculated by clear mathematical method, and there is no non-convergence problem.

The application discloses a kind of civil aviation information coordination system modeling and evaluation method based on complex network, for the lack of prior art, in combination with the structure and operating characteristics of civil aviation information coordination system, it is abstracted into the networked graph model of multiple types of nodes and its interconnection relationship constitutes, realize system standardization description;Design by network flexibility, structural robustness, information interaction efficiency three aspects multiple key indicators constitute the performance evaluation multilayer index system, and for the subjective weight of the performance evaluation first-level index obtained by fuzzy analytic hierarchy process and the objective weight of the performance evaluation second-level index obtained by inverse entropy weight method, with the principle of minimum deviation to carry out the subjective and objective fusion second-level index weighting, calculate the contribution of each index to the comprehensive performance of civil aviation information coordination system, finally realize the scientific quantification evaluation of the designed civil aviation information coordination system performance.The present application can provide theoretical support for future civil aviation information coordination system construction and optimization from top-level architecture construction.

The application provides a road maintenance machine state evaluation method and device based on fuzzy analytic hierarchy process. The method provided by the application comprises the following steps: establishing a simulation model of the road maintenance machine, simulating a working process, and obtaining stress distribution of the simulation model; determining a first position point of the road maintenance machine based on the stress distribution; determining an evaluation structure according to the first position point and the structure of the road maintenance machine; determining an evaluation position under each evaluation structure according to the stress distribution; calculating first weights of each evaluation structure by using a fuzzy analytic hierarchy process; calculating an influence coefficient of each evaluation position according to the stress distribution in the evaluation structure, and calculating second weights of each evaluation position under the evaluation structure based on the first weights and the influence coefficient of the evaluation position corresponding to the evaluation structure; collecting real-time running state parameters of the road maintenance machine; and evaluating the real-time running state of the road maintenance machine based on the real-time running state parameters, the first weights and the second weights, so that the precision of state evaluation is improved.

The invention provides a multi-target collaborative optimization method and system for an integrated energy system and a storage medium, and the method comprises the steps: obtaining multi-source data of a target region where the integrated energy system is located, and generating a typical uncertainty scene set based on the multi-source data of the target region where the integrated energy system is located; constructing a dynamic behavior model library; establishing a multi-objective optimization model by taking the equipment capacity in the integrated energy system as a first-stage decision variable and taking the operation strategy of the equipment in the integrated energy system under each uncertainty scene as a second-stage decision variable; solving the multi-objective optimization model by adopting a hierarchical hybrid intelligent optimization algorithm to obtain a Pareto optimal frontier solution set; schemes in a Pareto optimal frontier solution set are used as alternative schemes, a fuzzy analytic hierarchy process is adopted, all the alternative schemes are comprehensively scored and sorted, the optimal scheme which most conforms to the intention of a decision maker is output, and the reliability of multi-target collaborative optimization of the comprehensive energy system is improved.

The invention relates to the technical field of space-ground integrated power communication networks, and discloses a service suitability determination method for a space-ground integrated power communication network, which comprises the following steps of: constructing an index system, and further decomposing the index system into communication sub-indexes which can be directly quantized; calculating subjective weights of the communication sub-indexes based on a fuzzy analytic hierarchy process, calculating objective weights of the communication sub-indexes based on an entropy weight method, and introducing a game theory model to obtain an optimal weight combination of the subjective weights and the objective weights; classifying the power business, constructing a demand scoring model, and quantifying the demand of the power business for the communication sub-indexes; taking the communication sub-index demand as an ideal solution, setting a negative ideal solution with the lowest tolerance limit, and calculating the MARCOS utility degree and grey correlation degree of each communication sub-index; an optimization model is constructed based on the minimum information entropy principle to determine the combined weight of the utility degree and the grey correlation degree, the comprehensive utility degree is calculated, suitability sorting is carried out according to the comprehensive utility degree, and the accuracy is improved.

The invention provides a road maintenance machinery state evaluation method and device based on fuzzy analytic hierarchy process. The method provided by the invention comprises the following steps: establishing a simulation model of the road maintenance machinery, and simulating a working process to obtain a stress distribution condition of the simulation model; determining a first position point of the road maintenance machine based on the stress distribution condition; determining an evaluation structure according to the first position point and the structure of the road maintenance machine; determining an evaluation position under each evaluation structure according to the stress distribution condition; calculating a first weight of each evaluation structure by using a fuzzy analytic hierarchy process; calculating the influence coefficient of each evaluation position according to the internal stress distribution condition of the evaluation structure, and calculating the second weight of each evaluation position under the evaluation structure based on the first weight of the evaluation structure corresponding to the evaluation position and the influence coefficient; acquiring real-time operation state parameters of the road maintenance machinery; and the real-time operation state of the road maintenance machinery is evaluated based on the real-time operation state parameters, the first weight and the second weight, and the state evaluation precision is improved.

The application relates to the technical field of green construction scheme evaluation, and discloses a green construction scheme evaluation method and system based on case reasoning and a fuzzy analytic hierarchy process, which comprises the following steps: constructing an evaluation index system, structuring historical cases to form a case library, obtaining subjective weights based on the fuzzy analytic hierarchy process and performing consistency checking, obtaining objective weights based on an entropy weight method, fusing the subjective weights and the objective weights to obtain comprehensive weights of each index based on the minimum discrimination information principle, converting index values into cloud model parameters based on a reverse cloud model, respectively generating index cloud model parameters of a target engineering scheme and each historical case, obtaining a weighted comprehensive similarity according to position similarity and shape similarity, selecting cases with a weighted comprehensive similarity not lower than a threshold value as similar cases, determining an evaluation grade of the target engineering, and optimizing the target engineering scheme; and the application solves the problems of one-sided index system, low case matching accuracy and disconnection between evaluation and optimization measures in evaluation.

The invention provides a fuzzy analytic hierarchy process-based oil-water well extraction control property judgment method and equipment, and relates to the technical field of oil-gas field development, and the method comprises the following steps: determining multiple indexes influencing an oil well end control decision, including daily oil production, daily liquid production, daily water production, water content, single-layer oil production, oil production intensity and the like; all indexes are weighted through an analytic hierarchy process, and statistical analysis is introduced into weight determination, so that weight calculation is more objective and accurate. And mapping each index value into the membership degree of the oil well end control or the water well end extraction by adopting a fuzzy membership function. And the weighted membership degree of each index is synthesized, comprehensive evaluation values of the single well in the two categories of oil well end control and water well end extraction are calculated, and the extraction control property of the well is judged according to the comprehensive evaluation values. According to the method, information of multiple levels and uncertainty factors can be comprehensively considered, the accuracy and scientificity of liquid extraction and water control decision making are improved, and the method is suitable for comprehensive treatment and development optimization of the high-water-content oil field.

The application relates to a kind of vehicle engine system electromagnetic vulnerability evaluation methods, belong to electromagnetic environment effect evaluation field.Establish the engine system bayesian network fault model, get the triangular fuzzy number corresponding to the fuzzy expression of the failure correlation between each node in the bayesian network fault model through semantic contrast table, calculate fuzzy conditional probability, convert it into interval grey number conditional probability;Determine electromagnetic stress probability density function and component sensitivity threshold probability density function, calculate component layer interval grey number failure probability, and calculate engine system interval grey number failure probability in combination with interval grey number conditional probability.Affirmative effect is: determine the weight of each sensor through fuzzy analytic hierarchy process, solve the shortcoming that traditional analytic hierarchy process is more subjective, combine grey system theory and fuzzy theory with bayesian network, can more accurately express the uncertain information in the whole evaluation process and carry out failure probability calculation.

The invention discloses a method for evaluating the health state of an automatic monitoring system for VOCs in ambient air. The method comprises the following steps: S1, collecting state information and data of parts in the automatic monitoring system; s2, processing and analyzing the collected state information and data, specifically, extracting and processing state parameter features; s3, determining a threshold value of the state parameter; s4, performing single-index health state evaluation; s5, constructing a health state evaluation model of the automatic monitoring system for the VOCs in the ambient air, wherein the weight coefficient of the health state evaluation model is determined by a fuzzy analytic hierarchy process-entropy method, and multi-index weighting is carried out on the health state evaluation model; s6, performing health state evaluation on the system health state index obtained through calculation in combination with the system health state evaluation grade; and S7, based on a system health state evaluation result, the system automatically feeds back related information and takes corresponding processing measures. According to the invention, the method has the advantages of high automation degree, comprehensiveness, real-time performance, reliability and expandability.

The present application relates to train wireless network communication technical field, specifically to a kind of train wireless network control system information security risk assessment method, including according to the object of risk assessment to establish attack tree model, the possibility of security event is assessed using triangular fuzzy number and occurs, attack path is analyzed, and the interval probability of each attack path is calculated, point probability is obtained according to attack path interval probability, the possibility of attack is calculated, the influence of security event is evaluated using fuzzy analytic hierarchy process, the possibility of security event and impact value are quantified, security event risk value is calculated, the risk level and security level of system are determined according to system risk assessment value, corresponding protection requirements are formulated.The present application effectively evaluates and manages the information security risk of train wireless network control system, provides basis for formulating effective security protection strategy, and improves the overall security capability of train wireless network.

The invention provides an energy storage system risk assessment method, system and device and a program product. The method comprises the following steps: collecting importance degree scoring results of multiple field experts on each risk index; respectively calculating the weights of the risk indexes, wherein a fuzzy judgment matrix is obtained based on the importance degree scoring result of the lower-level risk indexes; processing to obtain a corrected fuzzy judgment matrix; performing fuzzy analytic hierarchy process on the corrected fuzzy judgment matrix to calculate the weight of the risk index; obtaining an initial risk score of each risk index of the lowest level, and calculating the initial risk score of the risk index of each level; and correcting the initial risk score of the risk index based on the coupling relation network between the risk indexes. According to the method, the scientificity and the stability of weight distribution of the risk indexes are improved, the depth of risk identification and the reliability of a result are improved, and a firm data basis and decision support are provided for risk early warning and refined operation and maintenance of the energy storage system.