167 results about "Fuzzy analytic hierarchy process" patented technology

The invention provides an urban gas pipeline micro-leakage early warning method and system, and relates to the technical field of data processing, and the method comprises the steps: employing a fuzzy analytic hierarchy process to calculate a dynamic risk index based on an evaluation matrix, and triggering the three-stage linkage alarm of an audible and visual alarm, a mobile terminal and an emergency platform when the index exceeds a threshold value; for three-level linkage alarm, a mobile robot is dispatched, a target area is navigated based on thermodynamic diagram positioning and reference coordinates, gas concentration is remeasured through a methane laser detector, a pipeline surface temperature field is scanned in combination with infrared thermal imaging, and a verification result and correction data are bound through a block chain evidence storage technology. And a tamper-resistant full-link evidence chain is formed. According to the invention, through cooperation of early warning and calculation, full-process automation of gas pipeline monitoring, early warning and emergency verification is realized, and the intelligent level of safety monitoring is improved.

The invention discloses a power operation behavior intelligent identification and evaluation method in a multi-machine cooperation mode. The method is realized through multiple steps: multi-source data collaborative acquisition and time-space consistency calibration are realized by combining Beidou / GPS dual-mode positioning with an inertial measurement unit to acquire data, and a unified time-space coordinate system is constructed through an improved synchronization algorithm and time-space calibration; edge end adaptive feature enhancement and fusion are carried out, image details are enhanced by means of a generative adversarial network and the like, and multiple types of features are extracted; the multi-machine collaborative decision and risk judgment realize accurate risk assessment through a three-level fusion mechanism and a dynamic weight distribution strategy; performing dynamic evaluation and closed-loop management and control, establishing a multi-dimensional index system, generating a real-time report in combination with an improved fuzzy analytic hierarchy process, and triggering intervention; and carrying out data security storage and model optimization, and ensuring security and optimizing the model by adopting hierarchical encryption and federal learning.

The invention discloses a sea condition perception and path prediction navigation method and system for a high-speed unmanned ship, and relates to the technical field of multi-source path decision optimization, and the method comprises the steps: collecting storm real-time perception data through a sensing device, carrying out the preprocessing, outputting a standardized sea condition state vector, and providing an experience reference for real-time path planning through ship-borne historical data; constructing a multi-target navigation prediction algorithm model to predict and generate a path candidate scheme set on the basis of the storm real-time sensing data and the ship-borne historical data, and performing evaluation through a conditional random field in combination with path candidate schemes generated by the storm real-time sensing data, the ship-borne historical data and target navigation prediction; and carrying out multi-dimensional safety risk scoring on an evaluation result through a fuzzy analytic hierarchy process by combining the wave height and direction influence, the hull stability and the obstacle avoidance complexity, and determining an optimal sailing path. According to the invention, fusion of multi-source sea condition perception and dynamic path optimization is realized, and the navigation stability, the adaptability and the risk control capability of the high-speed unmanned ship are improved.

The invention belongs to the field of highway systems, and discloses a highway traffic infrastructure toughness evaluation method, system, equipment and medium, and the method comprises the steps: analyzing the infrastructure toughness of a to-be-evaluated highway based on a highway full life cycle theory, and constructing a highway traffic infrastructure toughness evaluation index system based on an analysis result, the highway traffic infrastructure toughness evaluation index system comprises a plurality of criterion layer indexes, the criterion layer indexes comprise a pre-disaster early warning index, an in-disaster guarantee index and a disaster recovery index, and each criterion layer index comprises a plurality of subclass indexes; performing weighted calculation on each index in the highway traffic infrastructure toughness evaluation index system based on a fuzzy analytic hierarchy process to obtain weight data of each index; and calculating a comprehensive evaluation result of the to-be-evaluated road based on the weight data of each index. According to the technical scheme, the subjective problem can be solved, and the toughness level of the highway infrastructure can be conveniently and comprehensively mastered.

The invention discloses a grounding grid state evaluation and three-dimensional visualization method based on historical data comparison. The method comprises the following steps: step 1, intelligent acquisition of key parameters of a grounding grid: carrying out online monitoring and data acquisition on grounding impedance, contact potential difference and step potential difference parameters; 2, carrying out on-line monitoring and data acquisition on the conductivity of the grounding grid; step 3, performing comparison by adopting a fuzzy analytic hierarchy process and combining conductivity monitoring data between grounding grids in an access area, local grounding grid corrosion state monitoring data and grounding grid operation state monitoring historical data to realize grounding grid state comprehensive evaluation; step 4, establishing a grounding grid three-dimensional model and performing three-dimensional visualization by combining the plurality of key parameter detection values measured in the step 1 and the step 2 and the safety evaluation result obtained in the step 3; according to the method, the reasonable safety state of the grounding grid can be accurately expressed, and the real spatial position of the grounding system can be intuitively expressed.

The invention relates to the technical field of electric digital data processing, and particularly provides a method for judging seepage failure of an immersed roadbed under the action of repeated seepage, which comprises the following steps of: constructing a water-force-chemical coupling test mechanism, monitoring dynamic change of a permeability coefficient, a fine particle loss rate and three-dimensional reconstruction of a pore structure in real time through a sensor, and determining seepage failure of the immersed roadbed under the action of repeated seepage. A scanning technology is combined to quantify an evolution rule of a seepage path; key parameters such as seepage path fractal dimension, fine particle mobility and dynamic porosity change are extracted on the basis of an evolution rule, the weight of each index is determined by introducing fuzzy analytic hierarchy process, and a seepage failure comprehensive index is constructed; and establishing a time sequence prediction model, inputting a seepage failure comprehensive index and an environment variable, outputting a seepage failure probability, and dividing safety-critical-danger three-level early warning. According to the method, the limitation of a traditional static evaluation method is broken through, and the whole-process monitoring and prediction of seepage failure under the dynamic action of repeated seepage are realized; and the discrimination precision is obviously improved.

The invention relates to the technical field of psychological health education, and discloses a psychological health education-based dredging auxiliary platform, which comprises a psychological evaluation module, a data analysis module, an intervention execution module, a user archive library, a real-time monitoring module and the like. And the data analysis module is connected with the user archive library, generates a psychological state trend and intervention demand curve according to historical psychological data and behavior record data, and interacts data with other modules. And the intervention execution module receives related data, generates a real-time grooming instruction, and stores and records the instruction. The real-time monitoring module and the health rating module collect data to generate a corresponding matrix. The cognitive model optimization module optimizes parameters through a semantic association analysis network and the like. The state prediction model adopts a sliding time pane analysis method, and the health rating module adopts a fuzzy analytic hierarchy process. The platform realizes dynamic evaluation and accurate intervention, and improves the psychological health dredging effect.

The invention discloses a slope ecological restoration suitability evaluation method, medium and equipment, and relates to the technical field of slope ecological restoration, and the method comprises the steps: obtaining slope ecological restoration data, and obtaining a slope ecological restoration suitability evaluation index according to the data; calculating the weight of the evaluation index by adopting a fuzzy analytic hierarchy process based on the evaluation index; scoring each evaluation object according to the evaluation indexes, and establishing a fuzzy relation matrix; and according to the fuzzy relation matrix and the weight vector, obtaining a comprehensive suitability evaluation score of each evaluation object, and judging a suitability grade of slope ecological restoration. According to the method, the ecological restoration suitability of the arid and semi-arid land high and steep rock slope can be quantitatively evaluated.

The invention provides a lithium battery pack consistency scoring method based on fuzzy analytic hierarchy process, which belongs to the technical field of battery evaluation, and comprises the following steps: S1, obtaining consistency evaluation indexes of each battery monomer in a lithium battery pack, including an outlier factor, a standard deviation, a correlation coefficient between the battery monomers and outlier times; s2, performing fuzzy analytic hierarchy process to obtain a consistency score of the to-be-evaluated battery monomers; and S3, performing fuzzy analytic hierarchy process according to the consistency evaluation indexes of all the battery monomers in the lithium battery pack to obtain a consistency score of the lithium battery pack, determining a fault monomer according to the consistency score of each battery monomer, and evaluating a fault level. The method has the beneficial effects that through the fuzzy analytic hierarchy process, the outlier factor, the standard deviation, the correlation coefficient and the outlier frequency are adopted as consistency evaluation indexes, the performance of the single battery and the performance of the whole lithium battery pack are quantitatively evaluated, and the accuracy of fault judgment of the single battery is improved.

The invention relates to a science and technology project evaluation method and system, and relates to the technical field of multi-index decision and intelligent modeling. Comprising the steps of collecting multi-dimensional data of finance, intellectual property, teams, historical projects and the like of science and technology projects; constructing an evaluation index system; constructing a cognitive map by taking the indexes as nodes and combining statistical correlation and expert rules; a graph attention network (GAT) is utilized to train the graph, and structural causal weights among indexes are extracted; fusing the structure weight and the original fuzzy relation matrix to form a structure enhanced fuzzy relation matrix; and in combination with a weight vector determined by a fuzzy analytic hierarchy process (FAHP), performing fuzzy weighted comprehensive evaluation, and outputting a project grade and an interpretable result. According to the method, the accuracy, self-adaptability and interpretability of science and technology project evaluation are effectively improved, and the method is suitable for complex project evaluation tasks in a multi-source heterogeneous data environment.

The invention discloses a multi-target adaptive scheduling method based on a light storage integrated system, belongs to the technical field of power distribution network optimization, and aims to improve the electric energy utilization efficiency of a charging station. Firstly, a multi-objective optimization model is established by taking maximization of the electric energy utilization rate, the charging pile satisfaction rate and the photovoltaic consumption degree as objectives; secondly, in order to avoid the premature problem of the traditional NSGA-III algorithm, a self-adaptive binary mutation operator is constructed to improve the population diversity; and finally, aiming at the problem that a Pareto optimal solution set obtained by multi-objective optimization solution is difficult to screen, a unique optimal solution is selected from the Pareto optimal solution set by adopting a fuzzy analytic hierarchy process, and the strategy can better realize optimal utilization of electric energy.

The invention discloses a blowout preventer sea test effect evaluation method based on game theory combination weighting and fuzzy evaluation, belongs to the technical field of effect evaluation, is used for blowout preventer sea test effect evaluation, and comprises the following steps: constructing a blowout preventer sea test effect evaluation model, performing subjective weight calculation through a triangular fuzzy analytic hierarchy process subjective weighting method, and calculating the evaluation result of the blowout preventer sea test effect. Objective weight calculation is carried out through a CRITIC objective weighting method, game theory subjective and objective combination weighting is carried out, fuzzy comprehensive evaluation is carried out on game theory subjective and objective combination weighting results, and a blowout preventer sea test effect evaluation result is obtained. The method has guiding significance for sea test data acquisition of the blowout preventer group and the control system thereof and scientific evaluation of the performance of the blowout preventer group and the control system thereof, and the evaluation result can provide a reference basis for optimization and improvement of the blowout preventer group and the control system thereof after the sea test.

The invention specifically relates to a risk assessment method based on the combination of a fuzzy analytic hierarchy process and TOPSIS, and relates to the technical field of tunnel engineering construction safety. Constructing an index system; performing fuzzy hierarchy analysis; and TOPSIS evaluation is carried out. According to the invention, various means of drilling coring, image acquisition, water pressure monitoring and settlement measurement are adopted, so that geological, hydrological and construction process data are comprehensively obtained; in the geological deviation coefficient calculation, the rock mass integrity and the fracture development degree are depicted by using the proportion of the rock core length to the footage and the fracture projection area; hydrological deviation coefficients are subjected to shallow hole and deep hole water pressure fluctuation analysis, influence degrees and quantitative face values are combined, and a time-space evolution rule of water pressure abnormity is captured in a multi-dimensional mode; complex risk factors are converted into measurable indexes, deep analysis of tunnel construction risks is achieved, scientific and comprehensive data support is provided for risk assessment, and the accuracy and reliability of assessment results are remarkably improved.

The invention provides a dry-type transformer health state assessment method and system based on an improved fuzzy analytic hierarchy process and an abrupt change series method, and belongs to the technical field of transformer state assessment. A health state assessment index system is established, and a health state comment set is constructed according to the health state deterioration degree of a transformer; dynamically adjusting the weight, and determining the index weight of each layer; calculating the membership degree of each index, and combining the membership degree with the weight matrix to obtain a total fuzzy evaluation matrix; calculating to obtain a system total mutation membership function value; and determining the health state grade of the dry-type transformer according to the maximum membership degree principle by adopting a weighted average method and integrating the evaluation results of the two. According to the method, the interaction and synergistic effect between indexes are considered, and the defects of existing single-angle evaluation are overcome; the method considers the influence of operation time, dynamically adjusts the weight, accurately reflects the influence degree of each index in different operation stages on the health state of the transformer, and achieves the accurate and comprehensive evaluation of the health state of the dry-type transformer.

The invention belongs to the technical field of new energy power systems, and particularly relates to a novel power system-oriented hybrid energy storage optimal configuration method, which comprises the following steps of: S1, defining a use scene of hybrid energy storage, and constructing an energy storage optimal index system; s2, adopting a fuzzy analytic hierarchy process (FAHP) to carry out weighting on indexes of each use scene; a multi-attribute ratio optimization sorting method MARCOS is adopted to carry out optimal sorting on the energy storage system, and an optimal hybrid energy storage system is obtained; s3, formulating a hybrid energy storage management strategy for stabilizing new energy and peak load shifting scenes; and S4, taking the minimum comprehensive cost as an objective function, establishing a hybrid energy storage capacity configuration model for stabilizing new energy fluctuation and peak load shifting, and calculating the optimal capacity configuration of the hybrid energy storage system through actual data. According to the method, the applicability of different energy storage technologies can be scientifically and systematically evaluated, the optimal configuration of the hybrid energy storage system is realized, the economic benefit of a novel power system is improved, the grid-connected power fluctuation of new energy is reduced, and the consumption of the new energy is promoted.

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 discloses a power consumer electricity stealing risk rating algorithm based on a fuzzy analytic hierarchy process. The algorithm comprises the following steps: step 1, index selection; step 2, determining an index weight; step 3, index scoring; step 4, model input; step 5, model operation; 6, outputting the model; comprehensively considering the index weight and the user behavior characteristics, carrying out risk rating scoring on the user, and forming an electricity stealing risk rating result; and 7, model feedback correction. According to the invention, power marketing data can be effectively utilized, power user behavior characteristics can be efficiently analyzed, power stealing users can be accurately positioned, and power stealing behaviors can be furthest treated.

The invention discloses a route planning method considering carrier combinatorial optimization under an uncertain demand, and the method comprises the steps: firstly collecting and recording different demands of clients in cargo transportation, constructing a demand set, and building a matching mechanism of cargo attributes and the demand set; secondly, a fuzzy analytic hierarchy process is utilized to evaluate multiple capability indexes of the carrier, a carrier capability evaluation model is constructed, three-level priority search is carried out based on customer requirements, and a carrier combination scheme meeting the customer requirements is output; analyzing each cost, and establishing a cost model; and finally, solving the total cost through an improved adaptive genetic algorithm to obtain an optimized transportation path, and outputting an optimal carrier combination and transportation mode. According to the method, the transportation advantages of different carriers can be more comprehensively considered, the transportation and transfer difficulty faced by a single carrier is effectively reduced, the efficiency and service quality of multimodal transportation are improved, and the optimization requirements of a modern logistics system are met.

The invention discloses a construction personnel unsafe behavior detection method based on an improved YOLO, and relates to the technical field of behavior detection, and the method comprises the steps: carrying out the improvement and training of the YOLO through the marked video data, obtaining an improved YOLO model, obtaining the video data of the operation motion of a to-be-recognized construction personnel, inputting the video data into the improved YOLO model, and combining with a multi-target tracking algorithm, and carrying out the recognition of the operation motion of the to-be-recognized construction personnel. Performing quantitative analysis on the behavior types and the behavior track characteristics of the construction personnel by applying a quantitative theory, and performing evaluation in combination with a safety evaluation model constructed based on a fuzzy analytic hierarchy process to obtain a comprehensive safety score of the construction personnel. And generating an unsafe behavior detection report according to the comprehensive safety score and the behavior safety level of the construction personnel. Through the YOLO behavior detection method, the accuracy and efficiency of unsafe behavior detection of the construction personnel are greatly improved.

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 vehicle equipment health assessment method and system based on a fault sorting score deduction rule, and relates to the technical field of equipment health assessment, and the method comprises the steps: obtaining real-time state parameters of each subsystem in vehicle equipment; judging whether the real-time state parameters are abnormal or not based on a risk assessment index system; in an abnormal state, according to the risk assessment index system, respectively solving a first risk assessment index weight and a second risk assessment index weight by adopting an improved fuzzy analytic hierarchy process and an entropy weight method; fusing the first risk assessment index weight and the second risk assessment index weight to obtain a composite weight; according to the composite weight, based on an IFAHP-TOPSIS fault sorting score deduction rule, obtaining a fault sorting of each subsystem; and according to the fault sequence of each subsystem, based on the number of faults occurring in the subsystems and scores corresponding to the faults, performing health assessment on the vehicle equipment. According to the invention, the method can achieve the precise evaluation of the health state of the vehicle equipment.

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 relates to the technical field of data security, and discloses a financial data security risk assessment method and device. The method comprises the following steps: determining an initial risk indicator set, wherein the initial risk indicator set comprises a plurality of risk indicators influencing financial data security; based on an approximate ideal solution sorting method, screening the initial risk index set, and determining a target risk index set; determining an initial weight set of the target risk index set based on a fuzzy analytic hierarchy process; correcting the initial weight set of the target risk index set by using the entropy weight of the target risk index set to obtain a target weight set of the target risk index set; and based on the fuzzy membership matrix of the evaluation factor set, the target weight set of the target risk index set and the assignment matrix of the comment set, calculating a fuzzy comprehensive evaluation result of the financial data security risk. The financial data security risk evaluation method and device can perform objective and accurate financial data security risk evaluation.

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 discloses a dynamic authority adjustment method and system based on trust evaluation, and belongs to the field of system security. In order to solve the problem that an existing trust evaluation scheme cannot effectively cope with user behavior state transformation, obtained user behavior data are preprocessed, user behavior characteristics are extracted, the weight of the user behavior characteristics is calculated through a fuzzy analytic hierarchy process (FAHP), and a standardized matrix is obtained in combination with the user behavior characteristics and the weight; constructing a DDPG model based on a depth deterministic strategy gradient, wherein the DDPG model performs trust evaluation training on the user according to the normalized matrix; performing trust evaluation on the user based on the user behavior data by using the trained DDPG model; and dynamically adjusting the user permission according to the trust evaluation result. According to the method, the trust condition of the user can be effectively and dynamically evaluated, and the authority of the user is flexibly adjusted according to the evaluation result, so that the security and reliability of the system are improved.

The invention relates to the technical field of urban water supply, in particular to a water supply network water quality monitoring method. Comprising the following steps: constructing a water supply network visual model; acquiring comprehensive water quality monitoring data of the water supply network; processing the comprehensive water quality monitoring data of the water supply pipe network by using a fuzzy analytic hierarchy process, and performing fuzzy quantification on the comprehensive water quality monitoring data of the water supply pipe network; and displaying the comprehensive water quality monitoring data of the water supply pipe network by using the water supply pipe network visual model. The sensors are arranged at different nodes of the water supply network, various indexes of water quality are monitored in real time, and data support is provided for a subsequent water quality early warning model. Based on multi-source monitoring data, a water quality early warning model is constructed, and the model can predict abnormal conditions of water quality and give early warning information.