14 results about "Fuzzy linguistic" patented technology

Methods for determining the reliability of a technical system using fault tree analysis, comprising the following steps: S1 - Defining basic events of fault tree analysis; S2 - for each basic event, defining a fuzzy linguistic variable and a set of membership functions; S3 - at least partially based on real-time embedded software, defines a minimal cutting set for linguistic fault tree analysis; S4 - at least partially based on the minimum intersection theorem, determining the reliability of the technical system. Furthermore, the invention relates to a control unit, vehicle system, a computer program product and a computer-readable medium for executing the method.

The invention discloses a weight-adaptive multi-scene energy storage power station participation frequency modulation contribution degree evaluation method, which comprises the steps of establishing a multi-dimensional index model of an energy storage power station in a frequency modulation scene, determining an initial weight of the established index model by adopting a hesitant fuzzy language-cloud model, and calculating the frequency modulation contribution degree of the energy storage power station according to the frequency deviation of an actual system. And determining an adaptive weight coefficient to adjust a weight system, and evaluating the contribution degree of participation in frequency modulation of the energy storage power station based on a PROMETHEE-II evaluation method improved by TODIM. The evaluation method can scientifically quantify the actual contribution of the energy storage power station participating in the power grid frequency modulation in different scenes, and provides an important basis for the energy storage power station participating in the power grid frequency modulation scheduling strategy and establishment of an incentive mechanism of an auxiliary service market.

The application discloses a kind of nuclear power equipment value chain manufacturing risk assessment methods.The present application determines risk group and risk factor in nuclear power equipment manufacturing from risk database;Adopt hesitating fuzzy language term set method, define a set of risk grade evaluation language set, define semantic function as conversion standard;According to risk group, risk factor and risk grade evaluation language set, obtain the evaluation information of each nuclear power equipment value chain manufacturing risk factor from risk database;The evaluation information is converted into triangular fuzzy number and aggregated, the risk importance and risk grade of each risk factor and risk group are determined, and the overall risk importance and risk grade are determined.The present application effectively and accurately processes fuzzy information in risk assessment, comprehensively analyzes the risk importance of each risk factor and risk group, and provides a systematic method for developing nuclear power equipment value chain manufacturing risk assessment.

The invention provides a multi-dimensional data fusion-based aging-suitable service coordination method and system for a double-aged community, and the method comprises the steps: collecting multi-source heterogeneous data through an Internet of Things terminal and a community database API interface, constructing a four-dimensional data model of technology, space, service and system, and carrying out the classification and structuring of the data; subjective data are processed by adopting a fuzzy language evaluation method, and objective weighting is carried out on model indexes in combination with an entropy weight method; calculating a comprehensive coordination degree value of the service system by utilizing the coupling coordination degree model; and when the coordination degree is lower than a preset threshold value, generating and outputting a targeted optimization path based on a multi-objective optimization algorithm, including technology upgrading, space transformation, service scheduling and system optimization. The system comprises a data acquisition module, a coordination degree evaluation module, a dynamic optimization module and a user interaction module. According to the method, the problem of resource mismatching caused by data splitting and assessment missing of an existing intelligent old-age care system is solved, and accurate, efficient and fair configuration of old-age care services is realized.

The invention provides an electric vehicle fire tracing method, system and device and a medium. The method comprises the steps that multiple fire features and fire reasons of an electric vehicle are obtained, the fire features are classified, multiple state categories are obtained, the fire features form a state space, and the fire reasons form an action space; determining the membership degree of each fire feature on a fuzzy linguistic variable value threshold by adopting a trapezoidal membership degree function; setting a state transition constraint according to the state category, and then iteratively learning a Q value of any action in any state execution action space in the state space by using a Q learning algorithm based on the state transition constraint and the membership to obtain a plurality of related Q values; and selecting the fire reason corresponding to the maximum correlation Q value as the fire reason of the current electric vehicle. The problems that in the prior art, fire source tracing related data are missing, judgment depends on expert experience, objectivity is difficult to guarantee, and rapid positioning cannot be achieved are solved.

This invention discloses a fuzzy multi-attribute decision-making evaluation method and system. The method includes defining a hesitant fuzzy language terminology set; determining the evaluation object and its influencing factors based on the hesitant fuzzy language terminology set to form a factor set, and assigning weights to each influencing factor to determine the membership function of each factor; performing fuzzy synthesis operations on the membership function of each factor and its corresponding weights to obtain a comprehensive membership value; and performing fuzzy evaluation on the evaluation object based on the comprehensive membership value to obtain a fuzzy comprehensive evaluation result of the evaluation object. This invention's multi-attribute decision-making method, capable of handling incomplete and imprecise fuzzy information, plays a crucial role in ensuring the rationality and accuracy of investment risk assessment.

The invention discloses an intelligent supplier selection method and system, and belongs to the technical field of enterprise resource management and decision support. The system comprises a supplier resource library module used for storing and managing data of suppliers; the supplier admission preliminary screening module is used for aggregating qualitative evaluation of a plurality of decision-making experts based on a possibility distribution hesitation fuzzy language set model, and processing data of suppliers according to a preset comprehensive evaluation value threshold value to obtain potential suppliers; the evaluation index system management module dynamically configures a differentiated performance evaluation index system comprising three dimensions of economy, society and environment for different types of suppliers in the supplier resource library module; the comprehensive evaluation engine module is constructed based on an intuitionistic fuzzy set theory; and the supplier portrait module is used for visually displaying the comprehensive information and the evaluation result of the supplier. According to the method, the defects of high subjectivity, single index and insufficient fuzzy information processing capability in the existing supplier evaluation method are overcome.

The invention belongs to the technical field of Internet of Vehicles intersection routing, and particularly relates to an Internet of Vehicles intersection routing method and system based on fuzzy multi-factor decision. Performing fuzzy language quantization on three evaluation factors of the lane number, the direction angle and the traffic flow of the candidate road section by using a triangular fuzzy number; a clear value is obtained through defuzzification, a standard value is obtained through standardization, evaluation factor information entropy is calculated based on the standard value, and a dynamic weight value on each evaluation factor is obtained after normalization; and calculating a comprehensive fuzzy number score of each candidate road section, performing defuzzification to obtain a clear optimal non-fuzzy performance value BNP, and selecting the road section with the highest BNP value as a target road section. The technical scheme provided by the invention has the effects of high decision accuracy, strong adaptability, good robustness and strong pertinence.

This application discloses a wind power and energy storage coordinated frequency regulation method, device, storage medium, and electronic equipment, relating to the field of information technology. The method includes: fuzzifying frequency deviation, frequency deviation change rate, and wind speed deviation to obtain the membership degrees of each frequency deviation, frequency deviation change rate, and wind speed deviation belonging to different fuzzy linguistic values; calculating the activation intensity corresponding to each frequency regulation rule in a preset fuzzy rule base based on the membership degrees; determining the overall membership degrees of wind turbine gain and energy storage gain belonging to different fuzzy linguistic values ​​based on the activation intensity; defuzzifying the wind turbine gain and energy storage gain based on the overall membership degrees to obtain the defuzzified output values ​​of the wind turbine gain and energy storage gain; and performing dynamic frequency regulation of the power grid based on the defuzzified output values ​​of the wind turbine gain and energy storage gain. This application can improve the frequency regulation performance of the system and achieve optimal allocation of wind power resources and energy storage resources under different disturbances.

This application discloses a method for early warning of rubbing during the transportation of wind turbine blades, comprising: S1, initiating an early warning program based on the real-time location information of the transport vehicle, collecting relative position and relative velocity data between the wind turbine blades and obstacles on both sides of the road, as well as the vibration acceleration and angular velocity of the transport vehicle, and preprocessing the collected data to remove invalid data; S2, denoising the preprocessed relative position and relative velocity data; S3, evaluating the bump intensity based on the preprocessed vibration acceleration and angular velocity data of the transport vehicle; S4, mapping the denoised relative position data, relative velocity data, and bump intensity evaluation into fuzzy linguistic variables; S5, evaluating the early warning level based on the fuzzy linguistic variables, and dynamically updating the early warning level evaluation rules during operation; S6, clarifying the early warning level evaluation, and finally outputting a clear risk level.

This invention relates to the field of risk assessment technology, and more particularly to a risk assessment method for LNG tank farm sprinkler systems based on an improved FMEA. The method includes identifying potential failure modes and risk indicators in the LNG tank farm sprinkler system; experts evaluating the system using Fermat fuzzy language terminology and converting the results into Fermat fuzzy numbers; calculating a comprehensive evaluation of each risk indicator using a Fermat fuzzy weighted average operator and expert weights; determining subjective weights using an improved DEMATEL algorithm; determining objective weights using an entropy weight method; and obtaining a comprehensive weight through linear weighting. Finally, the method extends the evaluation score of each risk indicator for each failure mode, and prioritizes the risk based on these scores. This invention expands the scope of fuzzy information expression, improves the flexibility of the assessment process, and considers the interrelationships between evaluation information, resulting in more reliable risk assessment results.

The application relates to the technical field of industrial automation temperature control, and particularly discloses a PLC temperature control optimization method and system based on adaptive fuzzy PID, which comprises the following steps: S1, presetting initial parameters and rules; S2, collecting actual temperature signals; S3, performing noise suppression processing based on wavelet transformation; S4, calculating temperature deviation and a deviation change rate; S5, performing fuzzy processing on the temperature deviation and the deviation change rate; S6, performing fuzzy reasoning based on fuzzy language variables and a fuzzy rule base, and combining real-time working condition characteristics to obtain real-time PID parameters; and S7, calculating a control output, converting the control output into a control instruction recognizable by an executing mechanism, and sending the control instruction to the executing mechanism; after step S1 is executed, steps S2 to S7 are repeatedly executed in sequence. The method solves the problems of poor adaptability, weak anti-interference capability and insufficient working condition adaptability of traditional PID control parameters, and significantly improves the precision, stability and response speed of industrial temperature control.

The invention discloses a storage medium, an off-grid hydrogen production system control method, device and equipment, and the method comprises the steps: obtaining the current actual power of photovoltaic power generation, and generating the current predicted power of photovoltaic power generation according to meteorological monitoring data; calculating a current power difference and converting the current power difference into current power evaluation based on a fuzzy language value; according to the current power evaluation, calculating the current hydrogen production target setting of photovoltaic power generation and obtaining the current actual hydrogen production of photovoltaic power generation; calculating a current hydrogen production difference and converting the current hydrogen production difference into current hydrogen production evaluation based on a fuzzy language value; and by taking the current power evaluation and the current hydrogen production evaluation as input, generating a control strategy through a preset fuzzy control logic rule and / or an expert knowledge experience library. The production efficiency of the electrolytic cell is improved by improving the adaptability of the electrolytic cell to the fluctuating new energy.

The application discloses a kind of investment risk assessment model construction method and system, the method of the present application includes determining the relative importance of each index in the investment risk assessment process;According to the relative importance, determine the evaluation index weight of each index in the investment risk assessment process;Determine the hesitant fuzzy linguistic term set, and the hesitant fuzzy linguistic term set is converted into triangular fuzzy number;Based on the triangular fuzzy number, the triangular fuzzy number form of offshore photovoltaic power generation project investment risk level is obtained, and the triangular fuzzy number is defuzzified to process, to construct investment risk assessment model by the triangular fuzzy number after defuzzification and the evaluation index weight.The present application can establish offshore photovoltaic power generation project investment risk assessment model based on hesitant fuzzy linguistic term set and multi-attribute group fuzzy decision to effectively evaluate the investment risk of offshore photovoltaic power generation project.