7 results about "Fuzzy linguistic" patented technology

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.

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.