62 results about "Fuzzy mathematics" patented technology

The invention discloses an improved food sensory quality evaluation method and system based on a fuzzy mathematical method, and relates to the technical field of food inspection and detection. Performing a single-factor test on the improved food sample, and performing a response surface test on the basis of the single-factor test; performing comprehensive sensory evaluation on each sample in the response surface test by adopting a fuzzy mathematical analysis method; and physical and chemical indexes of the improved food under the optimal process are determined. According to the invention, the technology of the improved food is optimized, and the physicochemical indexes of the improved food with the optimized response surface are measured; a single-factor test and a response surface test are carried out in sequence, sensory scores are taken as evaluation standards, and factors influencing the quality of the improved food are determined; the optimal formula of the improved food is finally determined through a verification experiment; a fuzzy mathematics comprehensive sensory evaluation model is established for the improved food, and the obtained sensory evaluation result is used for response surface optimization evaluation.

The invention relates to the technical field of bridge construction, in particular to a multi-span continuous rigid frame bridge closure jacking force optimization method and system.The method comprises the steps that firstly, construction steps corresponding to a closure sequence scheme are determined according to the closure sequence scheme; secondly, performing soil constraint degradation simulation according to a closure sequence scheme and the corresponding construction steps, and establishing a finite element model of a full bridge; then, parameters corresponding to the unit jacking force applied to each closure gap and parameters corresponding to the unit jacking force not applied to each closure gap are calculated based on the finite element model, and a to-be-solved function is constructed based on the first parameters and the second parameters; finally, a fuzzy mathematical solution is adopted, the multi-target optimization problem corresponding to the to-be-solved function is converted into a single-target linear programming problem, and the optimal solution of the jacking force is obtained.According to the scheme, the soil constraint degradation effect is comprehensively simulated, meanwhile, the multi-target problem in the deepwater environment is converted into the single-target linear programming problem, and the optimal solution of the jacking force is obtained. The solving process is simplified, and the optimal solution of the jacking force can be accurately solved.

The invention discloses a multi-dimensional comprehensive evaluation method for permeability resistance of overlying strata of a working face, and belongs to the technical field of mine engineering and geological safety evaluation. 12 types of core factors such as rock strength, rock core quality, physical and mechanical properties of rock mass, hydrological properties and mining influence characteristics are integrated; a full-process evaluation framework of data acquisition, index system construction, weight distribution, comprehensive modeling and verification optimization is constructed, an analytic hierarchy process and an entropy evaluation method are coupled to determine index weights, a dynamic evaluation model is constructed in combination with a fuzzy mathematics theory, and accurate classification and risk early warning of the permeability resistance of the overlying strata are realized. According to the method, through comprehensive analysis of a plurality of factors, the accuracy of overlying strata permeability resistance evaluation can be improved, so that the underground water permeation path and the permeation amount are predicted more accurately, the uncertainty is reduced, the comprehensiveness and the accuracy of evaluation are remarkably improved, and a scientific basis can be provided for mine water disaster prevention and control and safe mining.

The invention discloses a large-model intelligent question setting system and method based on fuzzy mathematics fine tuning, and belongs to the technical field of intelligent question setting. Comprising a fuzzification processing module, a multi-dimensional reward feedback module, a rule-driven attribute reasoning module, an attribute accurate quantification module, a self-adaptive membership degree adjustment module, a strategy optimization and intra-cluster standardization module and a question generation and structured output module. According to objective fields such as post specifications, post levels, technical stack depth and team scales, hard indexes are converted into soft boundary semantics through five membership functions, and then quantitative attributes of surface test questions on difficulty, openness, prejudice and distinction are reasoned by using N rules without subjective wording. And the business result data is used for driving rewards to be updated online, and finally, daily automatic fine tuning is realized on the 32B large model, so that each subjective surface test question generated by the AI not only meets the objective requirements of posts, but also has explainable, auditory and iterable closed-loop capabilities.

The invention discloses a software quality evaluation method based on a fuzzy theory. The method comprises the following steps: obtaining a quality factor set according to a Meiger software quality model; determining an evaluation grade set, and dividing the evaluation grade set into five evaluation grades; constructing a membership function by adopting a kernel density estimation method; constructing a judgment matrix through the triangular fuzzy number and calculating a defuzzification weight; and converting the score into a fuzzy synthesis value through fuzzy synthesis operation, and generating a fuzzy comprehensive evaluation score through weighted average and normalization processing. According to the method, the fuzzy theory and the Meicole model are combined innovatively, and uncertainty in subjective and objective evaluation is processed by applying fuzzy mathematics. The objectivity, scientificity and repeatability of an evaluation result are effectively improved through a membership function and a weight set constructed based on historical data of similar software. The method is suitable for quality evaluation and optimization decision making of various complex software systems.

The invention discloses a post-evaluation method for a road maintenance project. The post-evaluation method comprises the following steps: S1, establishing a post-evaluation index system of an ordered hierarchical structure related to the road maintenance project; s2, calculating a correlation degree between indexes of each level in the post-evaluation index system; s3, on the basis of the association degree between the indexes of each level, constructing the weight of the index of each level; s4, constructing a fuzzy membership matrix of each level index; and S5, performing fuzzy comprehensive evaluation on the maintenance engineering project according to the weight and the fuzzy membership matrix of each hierarchy index, establishing a post-evaluation index system of three structural hierarchies, and adopting a comprehensive evaluation method based on an association degree-AHP-fuzzy mathematics theory to evaluate the maintenance engineering project. The method has the advantages of clear process, strong operability, subjective and objective combination and practical evaluation results.

The invention belongs to the technical field of oil and gas exploration and development, and relates to an accident early warning method and system for an FPSO mooring system under an extreme weather condition, and the method comprises the steps: building an accident scene library according to extreme weather data; grading accidents in the accident scene library according to expert opinions; fusing the expert opinions through a fuzzy mathematical method to obtain the weight of each expert opinion; combining expert opinions with the weights to obtain an accident prediction result of the key nodes of the FPSO mooring system; and inputting the time-varying extreme weather condition data and the key node accident prediction result into a dynamic Bayesian network model to obtain an accident early warning result of the FPSO mooring system. Accident occurrence probability calculation and accident early warning of the whole mooring system, subsystems and equipment units under the extreme weather condition are achieved, and data support is provided for field emergency protection.

The invention discloses a pipe-jacking tunneling machine type selection evaluation system and method based on fuzzy mathematics. The method comprises the steps that firstly, a multi-dimensional key evaluation index system covering planning and design requirements, hydrogeological conditions, surrounding environment factors and cutterhead configuration characteristics is constructed; secondly, establishing each index membership function aiming at different jacking pipe types and cutterhead configuration combinations by applying a fuzzy mathematics theory, and generating a membership matrix of jacking pipe adaptive type selection; and thirdly, determining a comprehensive index weight by adopting a subjective and objective weighting method fusion strategy, and finally constructing a fuzzy comprehensive evaluation model based on the membership matrix and the comprehensive weight, thereby realizing the adaptability quantitative evaluation of the pipe-jacking tunneling machines with different types and cutterheads. According to the method, the defect that traditional model selection depends on subjective experience is overcome, quantitative evaluation of pipe-jacking model selection under the complex stratum condition is achieved, the model selection accuracy and efficiency are improved, a reliable solution is provided for scientific model selection of the pipe-jacking tunneling machine, and the method has outstanding practicability and wide application prospects.

This invention discloses an optimization method for a glycerol refining process, comprising the following steps: Based on the adopted glycerol refining process, determining the control factors, and conducting single-factor experiments with each control factor as a variable to obtain the optimized first control factor. The control factor is selected from at least one of the following: the ratio of silica gel to zeolite powder, the amount of decolorizing agent added, and the decolorization temperature; then conducting an orthogonal experimental design; setting an evaluation subset and a comment set; setting a weight set; determining a fuzzy relation comprehensive evaluation set; establishing and analyzing a quadratic response surface regression model; using software to analyze the fitted equation to obtain the optimal process parameters for glycerol refining, and using a fuzzy mathematical sensory evaluation model to verify and determine the optimal process parameters for glycerol refining. This invention uses fuzzy mathematical evaluation combined with response surface methodology to examine the effects of the ratio of silica gel to zeolite powder, the amount of decolorizing agent added, and the decolorization temperature on the glycerol content, thus obtaining the optimal refining process.

The application relates to the technical field of drilling exploration, and discloses a method, device, equipment and medium for predicting the broken degree of the well wall surrounding rock of a to-be-drilled formation based on well-seismic fusion, which comprises the following steps: obtaining the single-channel seismic attribute data of a drilled well, the hole enlargement rate, the logging data and the seismic attribute data of an un-drilled formation; performing correlation analysis based on the single-channel seismic attribute data and the hole enlargement rate to obtain target seismic attribute data; performing multi-attribute fusion based on the target seismic attribute data and a hierarchical analysis fuzzy mathematics method to obtain a formation broken seismic attribute index; obtaining an evaluation index of the broken degree of the well wall surrounding rock of the formation based on the formation broken seismic attribute index, the logging data and an evaluation index formula of the broken degree of the well wall surrounding rock of the formation; and obtaining the broken degree of the well wall surrounding rock of the un-drilled formation based on the evaluation index and the seismic attribute data of the un-drilled formation. The broken degree of the well wall surrounding rock of the un-drilled formation is effectively predicted.

The invention provides a coke quality fuzzy comprehensive evaluation method and system based on multiple indexes, and the method comprises the steps: defining coke quality indexes through employing a fuzzy mathematical theory, and representing the comprehensive influence of the fluctuation of each index of the coke quality on the production of a blast furnace under an existing production condition; and the function of reasonably and comprehensively evaluating the coke quality is realized. The method reflects the advantages and disadvantages of a certain index of the coke through the membership degree, is convenient for iron and steel enterprises to reasonably and comprehensively judge the coke quality, and provides support for stable and smooth operation of a blast furnace and reduction of coke ratio, fuel ratio and iron cost. The method solves the problem that the evaluation of the coke quality fluctuation is limited in a certain index range at the present stage, and accurate judgment is difficult to make when the coke indexes have advantages and disadvantages crossing, and also changes the phenomenon that the evaluation is uncertain and difficult to quantify depending on experience in the past.

The invention relates to a river ecological environment forecasting method, in particular to a river ecological drought probability forecasting system based on fuzzy mathematics. The objective of the invention is to provide a fuzzy mathematics-based river channel ecological drought probability forecasting method so as to realize high-precision accurate forecasting of river channel ecological drought. According to the technical scheme, the river ecological drought probability forecasting method based on fuzzy mathematics comprises the following steps of 1, collecting and investigating basic data of a research area; 2, determining a fuzzy ecological drought membership function; 3, a natural runoff probability forecasting method; 4, calculating a fuzzy ecological drought occurrence possibility; and 5, evaluating the fuzzy ecological drought forecast precision.

The invention belongs to the technical field of rockburst prediction of laneway engineering, and particularly discloses a multi-parameter rockburst prediction method based on analytic hierarchy process and fuzzy mathematics, which takes lithologic conditions, stress conditions and surrounding rock conditions as evaluation indexes to form rockburst grading judgment criteria of 13 evaluation indexes, is beneficial to solving the problem of single selection of rockburst indexes, and improves the rockburst prediction accuracy. The rock burst prediction accuracy is improved; meanwhile, a comprehensive evaluation model is constructed by combining analytic hierarchy process and fuzzy mathematics and comprises a fuzzy mathematical model and a hierarchical structure model which are synchronously carried out, a fuzzy relation matrix is obtained through the fuzzy mathematical model, the weight of each evaluation index is obtained through the hierarchical structure model, and then output of the two models is fused to obtain a rock burst comprehensive prediction result. And by quantitatively analyzing the evaluation indexes, the subjectivity of expert experience is reduced, so that the prediction result is more stable and reliable.

The invention discloses a stage-by-stage dynamic flood control water level regulation and control method suitable for a hydropower station, and the method comprises the steps: obtaining watershed hydro meteorology, engineering operation and topographic geology multi-source basic data, and carrying out the Spark distributed cleaning, wavelet denoising and GAN missing value complementation preprocessing, thereby forming a standardized data set; an optimal flood season staging scheme is screened through coupling of qualitative analysis and a quantitative method; then, the safe pre-discharge amount and the effective pre-discharge time serve as sensitive factors, a flood control water level dynamic control model is built in combination with fuzzy mathematics and Copula joint distribution, and flood control water level process lines and regulation and control domain values of all flood season stages are generated; the safety of a regulation and control threshold value is verified through finite element simulation and a two-dimensional hydrodynamic model, a regulation and control scheme meeting flood control safety and efficient utilization of water resources is output, dynamic and accurate regulation and control of the flood control water level of the hydropower station are achieved, and the problems that in traditional static flood control water level dispatching, the contradiction between flood control and benefit making is prominent, the staging precision is low, and safety verification is insufficient are solved.

The invention discloses a power energy type selection method, device and system of an inland ship, a storage medium and a computer program product, and belongs to the technical field of inland ship engineering.The method comprises the steps that an evaluation index set and alternative power energy types are determined, qualitative evaluation information of all indexes is converted into a fuzzy relation matrix based on the fuzzy mathematical theory, and the fuzzy relation matrix is calculated; and calculating the weight value of each index by adopting an entropy weight method, performing fuzzy synthesis operation in combination with the weight value and the fuzzy relation matrix, normalizing the result, and finally determining the adaptive target power energy type by solving the total score of evaluation and calculating the relative proximity of each alternative type and the optimal solution. According to the scheme, quantification, comprehensiveness and precision of inland ship power energy selection are achieved.

The application discloses a kind of inland river ships power energy selection method, device, system, storage medium and computer program product, belong to inland river ships engineering technical field, this method includes: determining evaluation index set and alternative power energy type, qualitative evaluation information of each index is converted into fuzzy relation matrix based on fuzzy mathematics theory, entropy weight method is used to calculate the weight value of each index, combined with weight value and fuzzy relation matrix carries out fuzzy synthesis operation and the result is normalized, finally by solving evaluation total score, the relative closeness of each alternative type and optimal solution is calculated, the target power energy type of adaptation is determined.The scheme realizes the quantification, overall and precision of inland river ships power energy selection.

The application discloses a quasi-state defense semi-persistent scheduling method based on fuzzy mathematics, which comprises safety performance evaluation index calculation, safety fuzzy score and fuzzy grade evaluation based on fuzzy mathematics, and execution body dynamic scheduling based on semi-persistent scheduling and fuzzy mathematics feedback. The application improves feedback index calculation and semi-persistent cycle setting in the semi-persistent scheduling method based on fuzzy mathematics, and improves the execution body scheduling method suitable for quasi-state defense technology. The safety condition of the quasi-state defense system and the change and fluctuation size of the condition are calculated by using fuzzy mathematics, the number of execution bodies is increased or decreased by using the semi-persistent scheduling method according to the calculated change and fluctuation, and finally, the execution body set is obtained by simple scheduling according to the number of execution bodies.

This invention discloses a method for evaluating the development effect of air foam flooding in low-permeability reservoirs, specifically implemented according to the following steps: dividing the reservoir into injection-production units, collecting dynamic production data of these units, calculating the instantaneous gas-liquid ratio, instantaneous pressure-flow index, and instantaneous apparent resistance coefficient to obtain the trend of injection capacity changes; statistically analyzing the cumulative air foam injection volume and the cumulative oil, water, and gas production of the wells to calculate the trend of foam resistance factor changes over time; calculating the reserve utilization degree and monthly production decline rate to evaluate the oil displacement effect of the wells in the block; determining the weight values ​​of each evaluation factor using fuzzy mathematical hierarchical analysis and expert scoring to construct an evaluation system; and quantitatively and comprehensively evaluating the air foam flooding development effect of the reservoir using the evaluation system combined with a graded scoring method. This invention has high applicability, a simpler process, and good results, making it suitable for evaluating the development effect of air foam flooding.

A traditional risk evaluation method, such as a single parameter evaluation method and a simple data analysis method, can perform quantitative description on risk quantity to a certain extent, but neglects diversity and complexity of risks, and cannot cover factors such as fuzziness and uncertainty, resulting in inaccurate and unreliable evaluation results. In view of the defects of the existing method, the invention provides a novel insurance risk evaluation method based on an AHP and a fuzzy comprehensive evaluation mode, the method is convenient to operate when processing a multi-scheme problem, and the importance of risk elements can be comprehensively researched and determined according to the established hierarchical structure model and the established paired comparison judgment matrix of each hierarchy, so that the risk evaluation accuracy is improved. And all risk factors can be completely and deeply explored. Risk uncertainty is effectively processed through a fuzzy comprehensive evaluation mode, the risk is comprehensively evaluated through a fuzzy mathematics method, and a more comprehensive and accurate risk evaluation result is provided.

The invention provides a non-coal mine natural disaster-causing risk assessment method and system, and the method comprises the steps: carrying out the division according to the factors of non-coal mine natural disaster-causing disasters and an assessment target, and forming a disaster-causing risk assessment system which comprises a target layer, a criterion layer and an index layer; calculating the index weight of each layer of index through an analytic hierarchy process; adopting a fuzzy analytic hierarchy process to obtain a fuzzy evaluation matrix of each layer of indexes; obtaining a comprehensive evaluation vector according to the index weight of each layer of index and the fuzzy evaluation matrix; according to the method, an occurrence possibility grade value and a consequence severity grade value are calculated according to evaluation vectors, a final risk grade is determined, influence weights of all indexes on disaster-causing risks are calculated by introducing fuzzy mathematics, contributions of different indexes to the disaster-causing risks are optimized, and the risk assessment accuracy is improved. According to the method, the defect of lack of difference in calculation of the weight of each disaster-causing index of the non-coal mine in a traditional method is overcome, the evaluation result can better conform to the actual situation, and the method has a feasible guiding effect.

The invention relates to the technical field of pumped storage power station design and operation management, and discloses an evaluation index system construction method applied to an underground powerhouse of a pumped storage power station, which comprises the following steps: S1, designing and implementing a data acquisition scheme, comprehensively collecting key evaluation index data of the underground powerhouse of the pumped storage power station, the method includes the steps of collecting data including but not limited to building structures, equipment performance, operation efficiency and economical efficiency, conducting normalization processing on the collected data, eliminating data differences, and providing an accurate data basis for follow-up evaluation. Key design parameters in detailed planning data of a power station are deeply mined to serve as a solid foundation for performance evaluation, normalization processing of data is achieved by means of an advanced data collecting and processing module, difference and inconsistency between the data are eliminated, and therefore the accuracy of an evaluation result is greatly improved, and meanwhile the accuracy of the evaluation result is improved. The analytic hierarchy process and the fuzzy mathematics theory are adopted to scientifically process the indexes, so that the comprehensiveness and the flexibility of the evaluation system are ensured.

The invention relates to a marketing topic key user and influence measurement method based on multi-feature fusion, and belongs to the technical field of social network analysis. According to the method, modeling is performed on text data through an LDA topic model, and meanwhile, a marketing topic set is extracted by utilizing a clustering algorithm. The topic correlation is used as an index for measuring the correlation degree between the text and the topic, and the quality and correlation of the text and the topic are effectively evaluated. Secondly, introducing a fuzzy mathematical theory, and establishing a fuzzy comprehensive evaluation model based on information entropy; various characteristics of the user are fused as evaluation indexes, and the weight is determined by using an entropy weight method, so that the interference of subjective preference is reduced. And finally, constructing a multi-dimensional heterogeneous network based on marketing topics. By fusing the attribute characteristics of each node and utilizing the random walk strategy, the user behavior and interaction information are comprehensively considered, so that the influence of the user in the marketing topic is more comprehensively evaluated.

The invention relates to the technical field of pipeline thickness detection, and discloses a method for detecting the thickness of a pipeline, which comprises the following steps: S1, measuring the wall thickness based on a digital detector array; s2, verifying a design benchmark and calculating the minimum safe wall thickness; s3, identifying a multi-factor damage mode; s4, dynamic damage evaluation and residual life prediction; s5, comprehensive safety risk assessment based on the fuzzy theory; and S6, a reliability-based maintenance optimization decision is made. According to the invention, through a digital detector array technology and an innovative image processing algorithm, accurate and rapid measurement of the wall thickness of the pipeline with the coating layer is realized, and the coating layer does not need to be damaged; through a measurement-prediction-verification-correction closed loop, the prediction accuracy is improved; uncertainties are processed by introducing fuzzy mathematics, so that a risk assessment result is more in line with engineering practice; on the basis of a reliability theory and an optimization algorithm, a maintenance strategy is upgraded from regular prevention to condition-based prediction, so that the operation and maintenance cost is remarkably reduced while the safety is ensured.

The invention relates to a method for determining the recruitment process of pilots using artificial intelligence-based fuzzy multi-criteria decision-making models, which creates an artificial intelligence-based decision-making model by considering numerous criteria such as socio-cognitive abilities, performance competencies, communication skills, visual perspective perception, and spatial working range in the selection process of airline pilots; processes and evaluates uncertain, vague, and subjective data with fuzzy logic techniques (fuzzy TOPSIS, fuzzy VIKOR, and fuzzy PROMETHEE) and enables the ranking of candidates; transforms non-numerical linguistic terms into fuzzy mathematical models; ensures the integration of qualitative and quantitative data and the transformation of uncertain data into reliable results in pilot selections; facilitates the successful ranking of candidate pilots and the selection of competent personnel for safe operations by companies; improves the recruitment process of pilots and utilizes an artificial intelligence-based decision-making model application in their selection

The invention relates to the technical field of vehicle network interaction evaluation, and particularly discloses a vehicle network interaction service multi-dimensional effect evaluation method and system, and the method comprises the steps: constructing a hierarchical structure model of a vehicle network interaction evaluation index system; obtaining an index weight of the vehicle network interaction evaluation index system; constructing a fuzzy judgment matrix, calculating an initial weight of an index, and carrying out consistency check; constructing a fuzzy comprehensive evaluation model; and performing fuzzy comprehensive evaluation to obtain a comprehensive evaluation result. Different sub-targets are selected from the technical, economic, environmental and social dimensions, and target acquisition means are formulated, so that a vehicle network interactive service multi-dimensional effect evaluation index system is constructed. The index weight is determined through the fuzzy analytic hierarchy process, the fuzzy comprehensive evaluation method combines fuzzy mathematics and the membership principle, some fuzzy evaluation standards which are difficult to express by accurate digits are considered, the fuzzy decision problem is solved, qualitative analysis and quantitative analysis are combined, and the evaluation result is more comprehensive and reasonable.

The application discloses an open-pit mine blasting disturbance landslide intelligent perception monitoring and early warning method and system, and relates to the technical field of engineering monitoring. The method combines numerical simulation analysis and an intelligent perception network model to realize accurate quantification and intelligent early warning of the stability of a slope under the influence of blasting disturbance. Through discrete-continuous coupling numerical simulation technology, the stability of the slope is simulated before blasting construction, the safety factor of the slope is extracted, and a high-precision slope stability evaluation system is constructed. A fuzzy mathematics method is introduced to construct a stability membership function, multiple parameters obtained through numerical simulation calculation are mapped into fuzzy variables, and quantitative description of the stability grade of the slope under different blasting conditions is formed. Subsequently, an intelligent perception network model is used in combination with numerical simulation results and field monitoring data to train the stability membership function through improvement of physical intelligence, a slope stability prediction model considering multiple factors is established, and seamless connection from numerical analysis to intelligent early warning is realized.

The present application relates to the field of bridge construction technology, in particular to a multi-span continuous rigid frame bridge closure jacking force optimization method and system, first according to the closure sequence scheme to determine the construction steps corresponding to the closure sequence scheme;Secondly, according to the closure sequence scheme and the corresponding construction steps are carried out soil constraint degradation simulation, the finite element model of the whole bridge is established;Then based on the finite element model, the parameters corresponding to each closure mouth are calculated respectively by applying unit jacking force and not applying unit jacking force, and the to-be-solved function is constructed based on the first parameter and the second parameter;Finally, the multi-objective optimization problem corresponding to the to-be-solved function is converted into a single objective linear programming problem by using fuzzy mathematics solution method, and the optimal solution of jacking force is obtained, the scheme disclosed in the present application simulates the soil constraint degradation effect comprehensively, and at the same time, the multi-objective problem under the deep water environment is converted into a single objective linear programming problem, which not only simplifies the solving process, but also accurately solves the optimal solution of jacking force.

This integrated energy system management approach, based on day-ahead and intraday dual-tier optimization scheduling, aims to improve the system's environmental friendliness and energy efficiency through this dual-tier optimization strategy. First, a system model is constructed, encompassing power supply, gas supply, heating, and energy storage equipment. Monte Carlo sampling is used to generate renewable energy output scenarios, and scenario reduction techniques are used to screen key scenarios. Next, a day-ahead optimization model is established, minimizing costs while taking into account time-of-use electricity and heating prices. The intraday model makes real-time adjustments based on the day-ahead plan, employing multi-objective optimization to reduce costs and scheduling adjustments. Fuzzy mathematics theory is introduced to address load demand uncertainty and enhance system adaptability. This method improves energy efficiency, reduces costs, and mitigates pollution, demonstrating its practical value and potential for application.

The invention discloses an intelligent sensing, monitoring and early warning method and system for landslide caused by blasting disturbance of a surface mine, and relates to the technical field of engineering monitoring. According to the method, numerical simulation analysis and an intelligent sensing network model are combined, and accurate quantification and intelligent early warning of the slope stability under the influence of blasting disturbance are achieved. Through a discrete continuous coupling numerical simulation technology, the slope stability is simulated before blasting construction, the slope safety coefficient is extracted, and a high-precision slope stability evaluation system is constructed. A fuzzy mathematical method is introduced to construct a stability membership function, multiple parameters obtained through numerical simulation calculation are mapped into fuzzy variables, and quantitative description of slope stability levels under different blasting working conditions is formed. And then, an intelligent sensing network model is combined with a numerical simulation result and field monitoring data, a stability membership function is trained by improving a physical intelligent sensing network, a slope stability prediction model comprehensively considering multi-factor influence is established, and seamless connection from numerical analysis to intelligent early warning is realized.