20 results about "Fuzzy membership function" patented technology

The invention provides a boiler soot blowing control method and a related device, and relates to the technical field of boiler operation control. Performing image processing on the initial image of the boiler heating surface to obtain a processed image, performing mapping operation on pixel coordinates of the processed image and actual reference coordinates of the boiler heating surface to obtain a mapping result, and obtaining a region image corresponding to the soot blower based on the mapping result, carrying out dust deposition identification operation on the regional image to obtain a dust deposition identification result, calculating regional attribute information of the regional image according to the dust deposition identification result, determining a fuzzy membership function boundary value corresponding to the regional attribute information, constructing a self-adaptive fuzzy membership function by using the fuzzy membership function boundary value, and obtaining a self-adaptive fuzzy membership function; and determining a fuzzy quantity corresponding to the regional attribute information by using an adaptive fuzzy membership function, determining a soot blowing parameter of a soot blower corresponding to the regional image according to the fuzzy quantity corresponding to the regional attribute information and the fuzzy rule base, and controlling the corresponding soot blower to perform soot blowing operation according to the soot blowing parameter.

This invention relates to a vehicle differential lock control method, terminal device, and storage medium. The method includes: S1: constructing a first fuzzy membership function, a second fuzzy membership function, and a fuzzy rule inference table; S2: real-time acquisition of environmental values, road grade, and road curvature values, obtaining the maximum value of road curvature; S3: obtaining all corresponding first fuzzy intervals and fuzzy values ​​from the first fuzzy membership function based on the road curvature ratio; S4: obtaining all corresponding second fuzzy intervals and fuzzy values ​​from the second fuzzy membership function based on the environmental values; S5: matching the first fuzzy intervals with the second fuzzy intervals to obtain a combined fuzzy value of the fuzzy interval combination; S6: taking the fuzzy interval combination corresponding to the maximum value as the fuzzy decision combination, and obtaining the decision result from the fuzzy rule inference table; S7: controlling the differential lock based on the decision result. This invention achieves timely differential locking of the vehicle in weather conditions such as rain and snow when slight slippage occurs during normal driving.

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 provides a kind of pumped storage unit water turbine operating condition starting process performance multi-index fusion calculation method, relating to pumped storage power station technical field. Including Step1, data standardization;Step2, using fuzzy membership function to convert the data after standardization into fuzzy evaluation matrix;Step3, calculate information entropy;Step4, calculate variation coefficient;Step5, determine adaptive weight from information entropy in Step3 and variation coefficient in Step4;Step6, calculate starting process comprehensive performance score;Starting process comprehensive performance score is obtained by weighted summation, while introducing nonlinear adjustment factor to enhance the degree of differentiation. Through fuzzy membership function processing the uncertainty of index, using information entropy theory to determine the index weight objectively, and introducing adaptive mechanism to dynamically adjust weight distribution, so as to realize scientific, objective comprehensive evaluation of multi-index system.

The invention discloses a gas turbine power turbine rotating speed compound control method based on SMC-PID. The method comprises the steps that a cluster of state space models is established at multiple steady-state points of a gas turbine, scheduling parameters are selected, a scheduling method based on a weighted fuzzy membership function is adopted, scheduling weights are determined by calculating the correlation degree of the scheduling parameters and the steady-state points, and an LPV model of the gas turbine is established; performing discretization processing on the classic PID control law by taking the rotating speed as a control target to obtain a PID control model; based on the established LPV model, constructing a dynamic sliding mode surface model fusing a power tracking error and a change trend thereof; the basic fuel quantity is obtained according to the PID control model, the fuel flow compensation value is obtained according to the dynamic sliding mode surface model, the basic fuel quantity and the fuel flow compensation value are added to obtain a final fuel flow control signal, and the rotating speed of the gas turbine is controlled. According to the embodiment, the adjusting time is shortened under the typical working condition, the overshoot is reduced, and sliding mode buffeting is restrained; and the rotating speed deviation is controlled and is fast and steady, and the robustness is better.

This invention discloses a method for constructing a trust mechanism for electricity market transactions based on blockchain, relating to the field of electricity market transaction technology. The specific steps of this construction method are as follows: S100, data collection and feature fusion: collecting electricity user equipment operation data, electricity consumption behavior pattern data, power grid interaction data, as well as electricity market transaction price fluctuation data, historical default records, and power grid operation status data. By utilizing the distributed ledger characteristics of blockchain, this invention achieves encrypted storage and tamper-proofing of multi-dimensional information such as electricity user equipment operation data, electricity consumption behavior pattern data, power grid interaction data, and electricity market transaction price fluctuation data, effectively preventing data forgery and tampering. At the same time, by using fuzzy membership functions to create an initial credit scoring model and combining it with a real-time monitoring and scoring update mechanism, this invention can dynamically adjust the credit scores of trading entities, ensuring the accuracy and timeliness of credit assessment.

The application discloses a ball and link system control method based on fuzzy sliding mode and periodic event triggering, first constructs a state space equation of the system and carries out regular transformation to obtain a standard system model; then, a fuzzy sliding mode switching function is established in combination with a fuzzy membership function, and a periodic event triggering mechanism is designed; on the basis, a periodic event triggering fuzzy sliding mode controller is constructed, an actual sliding mode band is constructed by analyzing a periodic sampling error, state trajectory is ensured to enter the band in a limited time and remain in the band, and the reachability of the sliding mode surface is ensured; then, a controller gain matrix is solved based on stability analysis of the sliding mode, is brought into the controller to complete closed-loop control on the ball and link system, and a system sampling period is established. The application uses the fuzzy membership function to design the sliding mode surface, has lower conservativeness, and uses the periodic sampling to design the event triggering mechanism, theoretically eliminates the Zeno phenomenon, and provides an efficient control scheme for a system with limited network and communication resources.

The invention discloses a method for designing an asynchronous controller of a type-2 switching fuzzy system, which comprises the following steps of: through an IT2 fuzzy set of a prerequisite variable and an emission intensity interval set of a fuzzy rule under an If-Then rule based on an interval type-2 discrete switching fuzzy system of a local nonlinear model; based on a fuzzy reasoning method, constructing a global fuzzy model of the discrete switching nonlinear system; assuming that a switching signal of the global fuzzy model meets the minimum residence time constraint, defining a system timer, and constructing an interval type-2 fuzzy controller dependent on a type-one prerequisite variable division domain; and based on the gain of the interval type-2 fuzzy controller, a closed-loop type-2 switching fuzzy system model with guaranteed cost generalized dissipative performance is obtained. According to the method, different controller structure frameworks are adopted in the asynchronous time period and the synchronous time period, fuzzy member function information of the system is fully utilized to improve the control effect, and the stability and the guaranteed cost generalized dissipation performance of the closed-loop system can be guaranteed.

The invention belongs to the technical field of dynamic defense, and particularly relates to a dynamic defense method and system fused with water conservancy network security situation awareness, so as to solve the technical problems that data isomerism is difficult to process, model static state lacks timeliness, threat prediction is incomplete, and defense decisions are not balanced in an existing attitude awareness method. The defense method comprises the following steps: constructing a multi-layer attack tree model of the water conservancy network; obtaining heterogeneous security data collected by monitoring nodes in a network, quantifying the heterogeneous security data into normalized threat values in one-to-one correspondence with leaf nodes in the model based on an asset vulnerability incidence matrix and a situation element fuzzy membership function, and taking the normalized threat values as conditional occurrence probabilities of the leaf nodes; and traversing all attack paths in the multi-layer attack tree model, and executing an operation on any path. According to the defense method, interference to normal operation of the water conservancy core business is reduced, and balance between safety and business is achieved.

The application belongs to the technical field of power quality analysis and evaluation in power systems, and provides a sensitive equipment voltage sag tolerance evaluation method and system considering aging effect. Firstly, a fuzzy membership function of sensitive equipment tolerance is constructed. Then, the equivalent mean and equivalent variance of the equivalent random variable are determined. A state function of the sensitive equipment under voltage sag is constructed. Finally, according to the equivalent mean and equivalent variance, the reliability index of the state function is determined based on the first order second moment, the sensitive equipment failure probability is obtained, and the sensitive equipment voltage sag tolerance evaluation is realized. Wherein, the aging time-varying model of equipment tolerance is established based on Weibull distribution, which is used to describe the change law of the key parameters of tolerance in the fuzzy membership function with the running time. By considering the aging effect, the problems such as serious overestimation of the actual voltage sag tolerance level of old equipment are avoided, and the tolerance of the equipment at a certain time point in the future can be predicted.

The invention discloses a coulomb ecosystem health evaluation method and system based on multi-dimensional data, and relates to the technical field of ecosystem health evaluation, and the method comprises the steps: obtaining multi-dimensional monitoring data of a target ecological region, and carrying out the time-space alignment processing, and obtaining the deep features of all dimensions; establishing a causal inference network of deep features, and performing anti-factual inference in combination with time-delay response characteristics to generate a causal association structure; dividing features of a driving layer and a response layer according to a causal conduction path, and calculating a dynamic weight; performing knowledge verification by adopting a priority reconciliation strategy, and establishing a health state reference benchmark; constructing an adaptive fuzzy membership function to obtain a membership function set; and constructing an evaluation model by using the dynamic weight and the membership function set, inputting deep features to obtain a comprehensive health evaluation index, and determining a health level. The method can accurately evaluate the health condition of the coulomb ecosystem.

The invention discloses an intelligent evaluation and measurement integrated system of measurement and control equipment based on a digital twinborn body, and relates to the technical field of industrial automation and digital twinborn. The technical key points are as follows: the system comprises a data acquisition module, a digital twin modeling module, an intelligent index evaluation module, a weight fusion calculation module, a grade scoring reasoning module and a feedback regulation module. The system collects operation parameters of measurement and control equipment through a multi-source heterogeneous sensor, constructs digital twin models in one-to-one correspondence with the operation parameters, and achieves virtual synchronous mapping of equipment states; an index grade evaluation system is constructed based on a fuzzy membership function, subjective and objective weight fusion is carried out in combination with an analytic hierarchy process and an entropy weight method, a comprehensive weight vector is generated, and quantitative evaluation of the equipment intelligence grade is completed through a fuzzy reasoning algorithm. According to the system, parameter adjustment suggestions are further output through an error feedback mechanism, and model closed-loop correction and performance self-adaptive optimization are achieved.

The invention discloses a hotel order fuzzy matching method based on a large model. The method comprises the following steps of 1) collecting hotel order screenshot information of each platform by using a hotel order screenshot mode; 2) constructing an order keyword library based on the hotel order screenshot information; 3) training a graph neural network model by using the order keyword library; 4) acquiring screenshot information uploaded by the user; 5) establishing a fuzzy membership function by using the graph neural network model, and optimizing the fuzzy membership function by using the loss function; and performing semantic supplement on the screenshot information by using the optimized fuzzy membership function, and writing the supplemented semantic features into the semantic content extracted in the step 5) to generate the semantic content without missing. According to the method, semantic rule understanding is realized by calling a large model interface, and meanwhile, fuzzy matching is performed on orders of hotels by applying a fuzzy membership function, so that quick matching of hotel screenshots and hotels is realized.

The embodiment of the application provides a kind of doctor-patient joint decision agent negotiation method and device based on particle swarm algorithm, it is related to doctor-patient joint decision technical field.The doctor-patient joint decision agent negotiation method contains S1, obtains the trapezoidal fuzzy membership function of doctor and patient to n negotiation problems, and the weight of n negotiation problems, and according to trapezoidal fuzzy membership function and weight, constructs multi-objective optimization model.S2, according to multi-objective optimization model, based on belief-desire-intention architecture, constructs doctor agent model and patient agent model.The agent model includes opponent model, bid strategy model and acceptance strategy model.Bid strategy model is used to solve multi-objective optimization model by multi-objective particle swarm algorithm and non-dominated solution distance method, to obtain offer.S3, according to doctor agent model and patient agent model, construct agent-based negotiation model.S4, according to agent-based negotiation model, carry out simulated negotiation, obtain negotiation result.

This invention discloses an adaptive adjustment method for zero-trust dynamic access control policies based on environment awareness. By continuously collecting and standardizing multi-dimensional dynamic contextual information from the subject, object, and operating environment, it breaks through the limitation of traditional methods that only focus on subject attributes. This enables trust assessment to comprehensively integrate multiple factors such as resource sensitivity, network link status, and real-time threat intelligence, thereby truly reflecting global dynamic risks and exhibiting high dynamic adaptability to scenarios such as sudden changes in network environment and zero-day attacks. By using dynamic weights and decay memory algorithms to calculate real-time trust values ​​and combining a mapping mechanism based on dynamic asymmetric threshold intervals and fuzzy membership functions, it avoids the trust level jump problem caused by fixed threshold hard boundary division in existing technologies.

The application provides a fuzzy analytic hierarchy process-based oil-water well lifting-control property determination method and device, and relates to the oil and gas field development technical field.The method comprises the following steps: determining multiple indexes affecting oil well end-control decision, including daily oil production, daily liquid production, daily water production, water cut, single-layer oil production and oil production intensity, etc.The analytic hierarchy process is used to weight each index, the weight is determined by introducing statistical analysis, so that the weight calculation is more objective and accurate.Each index value is mapped to the membership degree of oil well end-control or water well end-lifting by using a fuzzy membership function.The weighted membership degrees of all indexes are comprehensively considered, the comprehensive evaluation value of a single well in the "oil well end-control" and "water well end-lifting" two categories is calculated, and the lifting-control property of the well is determined accordingly.The method can comprehensively consider multiple hierarchical information and uncertain factors, improve the accuracy and scientificity of the lifting-liquid control-water decision, and is suitable for the comprehensive management and development optimization of high-water-cut oil fields.

The invention discloses a lower limb exoskeleton man-machine cooperation controller design method fusing human fuzzy decision, and relates to the technical field of man-machine interaction control, and the method comprises the steps: building a lower limb exoskeleton kinetic equation of a man-machine system containing parameter uncertainty and disturbance, taking an expected track as a constraint, and converting the expected track into a second-order form; providing a robust controller, and performing stability analysis on the robust controller; a cost functional is put forward, the cost functional is minimized, and an optimal fuzzy membership function is obtained to achieve man-machine cooperation under fuzzy decision; relevant parameters in the system are adjusted, and the effectiveness of the control method is analyzed; according to the cooperative strategy and control method, the human fuzzy decision and the mechanical system stability are combined, the performance of the mechanical system is regulated and controlled in real time through the human fuzzy decision so as to cope with different tasks and working conditions, and the controller has high robustness and adaptability and can be used for different control objects.

The invention discloses a vehicle-pile-network interaction data fusion method based on a fuzzy mathematical theory, and belongs to the field of intelligent traffic systems and electric vehicle charging infrastructures, and the method comprises the steps: firstly collecting vehicle, pile and network original data, and carrying out the time-space alignment, standardization and abnormal value processing, thereby providing a high-quality basis for subsequent fusion; fuzzifying the key data by using a fuzzy membership function to improve a federated weighted average method to realize data-level fusion to obtain a unified fuzzy data set; on the basis, constructing a five-dimensional feature matrix, extracting key principal components through principal component analysis, completing feature-level fusion, and extracting core features; and finally, constructing a fuzzy rule base, calculating a rule weight by using a Dasarathy model, screening significant and important rules to realize decision-level fusion, and integrating multi-stage results to output final fusion data. According to the method, the data fusion precision and reliability are improved, and city-level vehicle-pile-network regulation potential quantification and efficient cooperative operation are assisted.

The invention discloses an administrative service management method and system based on a cloud platform, and relates to the technical field of administrative service management, and the method comprises the steps: based on a cost range interval, generating a threshold sequence, constructing a nested Hamiltonian, dynamically adjusting a threshold and an annealing path, obtaining a final ground state through QRT evolution, and carrying out the quantum measurement based on the final ground state. Obtaining a quantum state of target Gibbs distribution, verifying an overlapping estimation value, and screening a global optimal scheme; the efficient fusion of heterogeneous data is realized by combining a fuzzy membership function with VGG-16 and BERT models, the semantic matching precision and data processing efficiency of user preferences and service requests are improved, a flow path is optimized based on a directed acyclic graph and reinforcement learning, and a quantum optimization algorithm is introduced, so that the dynamic selection of a global optimal scheme is realized, and the user experience is improved. And the resource allocation efficiency is improved.

The application discloses a kind of lower limb exoskeleton man-machine collaborative controller design methods of fusing human fuzzy decision, it is related to man-machine interactive control technical field, including: the lower limb exoskeleton dynamics equation of man-machine system containing parameter uncertainty and disturbance is established, and desired trajectory is as constraint and is converted into second-order form;Robust controller is proposed, and stability analysis is carried out to robust controller;A cost functional is proposed, minimize cost functional, obtain optimal fuzzy membership function to realize man-machine cooperation under fuzzy decision;Adjust relevant parameters in system, and analyze the effectiveness of the control method;The collaborative strategy and control method combine human fuzzy decision with mechanical system stability, use human fuzzy decision to regulate the performance of mechanical system in real time to cope with different tasks and working conditions, and the controller has strong robustness and adaptability, and can be used for different control objects.