126 results about "Fuzzy relation matrix" patented technology

The invention provides an evaluation method and an evaluation system for evaluating the performance of a high-capacity battery energy storage system. The method for evaluating the performance of the high-capacity battery energy storage system comprises the steps of sequentially evaluating the performance of each battery pack in the energy storage system, and then performing corresponding debugging on the battery pack according to the evaluation result, wherein the performance evaluation of the battery pack is determined with a fuzzy relation matrix established according to grade and evaluation indexes and the weight of each evaluation index as a maximum membership degree. The evaluation system comprises a data acquisition module, a performance index calculation module, a fuzzy relation matrix calculation module and an evaluation matrix calculation module which are connected in sequence. Compared with the prior art, based on the evaluation method and the evaluation system, the consistency performance of the high-capacity battery energy storage system is comprehensively evaluated. Evaluation data are derived from the historical operating data of a battery during operation. The normal operation of the battery energy storage system is not influenced at all. Meanwhile, the implementation is convenient, and the flexibility is high.

The invention provides a DR synthetic diagnosing method based on fuzzy fault diagnosis and relevancy model diagnosis, which is used for electronic equipment fault diagnosis. The method comprises the steps of firstly determining a state parameter type (monitored at each testing point) as a continuous quantity or a logic quantity, wherein in the testing to the continuous quantity, the testing is used as a fault symptom, and a fuzzy relationship matrix R is established; in the testing to the logic quantity, a relevancy matrix D is established, and the established fuzzy relationship matrix R is transposed and is combined with the relevancy matrix as a DR composite matrix; and finally positioning a fault source by using the DR composite matrix and a DR synthetic diagnosis equation aiming at a real-time testing fault state vector. The continuous quantity and the logic quantity in a system state parameter are considered, the roughness in the fuzzy fault diagnosis is made up, the limitation in the relevancy model diagnosis is improved, the method is applicable to the fault diagnosis to the system with the continuous quantity and the logic quantity, and the accurate positioning to the fault source is realized.

The invention provides a risk fuzzy synthetic evaluation method for a regional water environment. The method includes the steps that a membership degree function is established according to the hierarchical structure relation of a target level, a system level, a criterion level and an index level, and the membership degrees of indexes of a regional water environment risk evaluation index system to estimation scales are worked out; a structural model is established according to the hierarchical relation of the index system, and a fuzzy relation matrix is established through the relative membership degree function; a final evaluation result is determined based on the maximum membership degree principle. By means of the technical scheme, the regional water environment can be evaluated more accurately to provide an accurate basis for decision making.

The invention belongs to the field of electric power systems, and particularly relates to a method for evaluating relay protection states. The method includes the steps: firstly, determining single state quantities of state evaluation to acquire acquisition; secondly, building a hierarchical state evaluation system; thirdly, computing constant weight coefficients and variable weight coefficients of the single state quantities according to association rules and variable weight theories; fourthly, building membership functions of the single state quantities for state rates by a fuzzy distribution method, building a fuzzy relation matrix, and gradually computing fuzzy comprehensive evaluation result vectors; finally, judging the running state of a relay protection device according to a maximum membership principle. The influence of expert opinion subjectivity on the weight coefficients is avoided, the method contributes to solving the problem that a real running state of the relay protection device cannot be reflected by the constant weight coefficients, an accurate and simple relay protection state evaluation result is provided for operators and can serve as a state maintenance basis, the design thinking is clear, programming is easily realized, and transplantation between different programming environments is facilitated.

The invention provides a fuzzy relation matrix generating method based on a comprehensive correlation matrix, which can be used for fuzzy fault diagnosis. The method comprises the following steps of: carding fault modes of a product to acquire upper fault modes and corresponding lower fault modes, acquiring each test according to test configuration, establishing the comprehensive correlation matrix, predicting the fault detection rate of each upper fault mode according to each test, generating a detection rate relation matrix of the upper fault modes and the tests, transforming the detection rate relation matrix to acquire a fuzzy relation matrix, and performing product fault diagnosis by using the fuzzy relation matrix. The fuzzy relation matrix generated by using the method can be applied to fault diagnosis in the product, and solves the problem that the diagnosis accuracy declines because the optional characteristic elements of the artificial subordinate function are unreasonable in the conventional fuzzy relation matrix construction method.

The invention relates to a fuzzy analytic hierarchy process-based robot cleaner intelligent characteristic grade evaluation method. The method comprises the following steps of: S1, establishing an intelligent characteristic grade evaluation index system of a multilayer structure; S2, determining weight vectors of all levels of evaluation indexes of the index system by using an analytic hierarchy process; S3, determining a fuzzy judgement matrix of each evaluation index by using a fuzzy comprehensive judgement method; S4, carrying out compositional operation on the weight vectors, determined by using the analytic hierarchy process, of the indexes and the fuzzy judgement matrixes determined by using the fuzzy comprehensive judgement method so as to determine a fuzzy relationship matrix; and S5, normalizing the fuzzy relationship matrix, and determining robot cleaner intelligent characteristic grades according to a maximum membership degree principle. According to the method, scientific and reasonable evaluation is carried out on robot cleaner intelligent characteristic grades, so that references are provided for enterprise production, market supervision and consumer selective purchasing, and referential significance is provided for the evaluation and research of intelligent degrees of other intelligent household appliances.

The invention provides a safety risk detecting method and device for an Android application program and relates to the technical field of Android application detecting. The method comprises the steps that decompiling is carried out on the Android application program to be detected to obtain a program source file, and the program source file is analyzed and processed to obtain application programming interface call information of the Android application program to be detected; according to the application programming interface call information of the Android application program to be detected, operating authorization information of operation needing to be carried out on a terminal by the Android application program to be detected is obtained; according to the operating authorization information, a hierarchical structure is set up; first weight sets of all criterion items in a criterion layer relative to a target layer are determined, and second weight sets of all subsidiary criterion items in a subsidiary criterion layer relative to the criterion items which the subsidiary criterion items belong to are determined; fuzzy relation matrixes corresponding to all the criterion items are determined; according to the first weight sets, the second weight sets and the fuzzy relation matrixes, safety risk grades are determined. The method can solve the problem that a risk detecting mode of a current application program is not accurate.

The invention discloses a river health evaluation method based on natural and social influence. The river health evaluation method comprises the following steps that (a) an evaluation index system is established, and an evaluation factor set is determined; (b) according to the established river health evaluation index standard and determined river and lake level-5 health degree, and each level corresponds to one fuzzy subset evaluation set; (c) a single-factor subordinating degree function is determined; (d) a fuzzy relation matrix is established; (e) fuzzy weight vectors of rating factors are determined; (f) fuzzy comprehensive assessment is performed; (g) vector analysis is conducted on fuzzy comprehensive evaluation results. By the adoption of the river health evaluation method, the comprehensive evaluation results can be obtained, health degrees of single indexes can be also provided, accordingly convenience is brought to diagnosis performed by a drainage basin manager on a drainage basin water environment, and an accurate and effective management measure is implemented.

The invention provides a fuzzy comprehensive evaluation method for the efficiency of secondary equipment of an intelligent transformer substation, aiming at solving the problems that an existing evaluation method for the energy efficiency of the secondary equipment of the intelligent transformer substation is complex in process, high in calculation difficulty and low in efficiency, and subjectivefactors greatly influence an evaluation result in the evaluation process. The method comprises the steps of collecting expert opinions through an electronic conference analysis method, and calculatingthe weight of a first-level evaluation index; Establishing a fuzzy relation matrix of each primary evaluation index by utilizing the selected membership function, and further determining the weight of the secondary evaluation index under each primary evaluation index; And obtaining a fuzzy comprehensive evaluation result of each primary evaluation index through the weight of the secondary indexesand the fuzzy relation matrix, analyzing the fuzzy comprehensive evaluation result, and finally obtaining an evaluation result of the energy efficiency of the secondary equipment of the intelligent substation. According to the method, the working efficiency is improved, the system and the equipment can be quickly optimized, the influence caused by subjective opinions is reduced, and the reliability of an assessment result is improved.

The invention relates to a power grid operation safety risk evaluation method. The method comprises the following steps: an evaluation index set and a comment set are determined; a fuzzy relation matrix for secondary indexes in the evaluation index set is built; weights of primary indexes and secondary indexes are determined respectively, and weight vectors of the primary indexes and the secondary indexes are obtained respectively; the product of the weight vectors of the secondary indexes and the secondary index fuzzy relation matrix is calculated, and a comprehensive evaluation fuzzy vector of the primary indexes is obtained; and the product of the comprehensive evaluation fuzzy vector of the primary indexes and the weight vectors of the primary indexes is calculated, a power grid operation risk comprehensive evaluation vector is obtained, and the grade of a comment corresponding to the maximum value in the power grid operation risk comprehensive evaluation vector is regarded as a final evaluation result. The safety risk evaluation accuracy and the objectivity can be improved, and safe and stable operation of the power grid are ensured.

The invention discloses a constant speed control method and a constant speed control apparatus for a hydraulic retarder based on fuzzy controls. The method comprises following steps of calculating speed deviation and speed changing rate. If the speed deviation is less than a set value, then fuzzy process is conducted to the fluid filling rate, the speed deviation and speed changing rate so as to obtain a fuzzy control quantity. According to physics theory and fuzzy theory, quantification factors of the speed deviation and the speed changing rate and a scale factor of the fluid filling rate in the fuzzy control quantity are obtained]. Select membership function and obtain membership grade value table. A membership function is selected and a membership value table is obtained. Control rules are created to obtain a control rule table. According to the control rules, a fuzzy relation matrix is formed and a fuzzy process is conducted to the current speed and the targeted speed of a vehicle so as to obtain a fuzzy output quantity. The fuzzy output quantity is then converted to clear quantity. According to the embodiments of the method, under complicated road traffic condition, a hydraulic retarder is capable of automatically outputting required fluid filling rate and brake torque so as to make a vehicle travel at a constant speed. In this manner, a constant speed control can be realized to the hydraulic retarder to ensure the safe travel of the vehicle.

The invention discloses a method of comprehensive assessment for heavy metal pollution of metal slag and soil. The method includes: establishing a fuzzy comprehensive assessment factor set: U= {u1, u2..., um}, with ui being a pollution factor of an assessment object; establishing an assessment set: V= {v1, v2..., vn}, with vj being an assessment level of the pollution factor ui; establishing a weight set: A= {a1, a2..., am} according to pollution levels of the pollution factors, with a weight ai indicating the weight of the pollution factor ui; determining a degree of membership of each pollution factor to the assessment level so as to obtain a corresponding fuzzy relation matrix R; subjecting the weight set A and the relation matrix R to compound operation to obtain a fuzzy comprehensive assessment vector B; normalizing the fuzzy comprehensive assessment vector B, and using a maximum level as an environment quality assessment level according to the principle of maximum membership degree in fuzzy mathematics. The method has the advantage that comprehensive pollution of heavy metals in slag and soil in mining areas is assessed more accurately, reasonably and objectively.

The invention discloses a multi-level comprehensive judgment method for air quality data. The method comprises the following steps: a, determining judgment factors according to the air quality data and establishing a judgment standard set by reference to national air quality standards; b, determining a degree of membership of two adjacent levels of each judgment factor to judgment standards according to the air quality data, and establishing a fuzzy relation matrix according to each degree of membership; c, according to the fuzzy relation matrix obtained by calculation, determining a weight of each judgment factor by utilizing an entropy method; d, according to the fuzzy relation matrix and the weight of each judgment factor, calculating a single-level judgment result; and e, according to the single-level judgment result, calculating a multi-level judgment result. The method greatly reduces the influence on the judgment result due to subjective factors such as the air quality data, human factors and the like, enables the judgment result to be more comprehensive, objective and real, and has an important significance for effectively reflecting regional air quality conditions.

The invention relates to a method for automatically diagnosing faults of a monitoring system. The method comprises the following steps: analyzing the association degree of sequences of different measuring values; building a fuzzy relation matrix by utilizing the association degrees of the measuring value sequences; and carrying out fuzzy clustering analysis on the measuring value sequences to obtain the reason of measuring value abnormity, and judging the operation state of the monitoring system. The method uses a computer program to carry out quantitative analysis on relations between each measuring point and each measuring value so as to ensure that the monitoring system can diagnose whether the abnormal measuring values are initiated by self faults or not so as to avoid unnecessary economic and social cost investment brought by incorrect alarm caused by incorrect judge to be convenient to adopt measures timely to maintain the monitoring system, so the intelligent level and robustness of the structure monitoring system are improved, and the practicability is greater.

The invention discloses a power communication backbone data network security comprehensive evaluation method based on AHP-RST. The method aims at solving the problems that evaluation indexes of an existing network security evaluation method are not meticulous enough, one-sided and lack of quantitative measurement, and evaluation content is subjective. According to the method, an analytic hierarchy process (AHP) and a rough set (RST) are adopted to calculate the weight of each index of an index layer and a criterion layer respectively, the optimal combination weight is solved, then a fuzzy relation matrix is combined with the weight of the network security index, and therefore a total fuzzy evaluation result is calculated. And finally, according to a maximum membership degree principle and a power communication backbone data network security level comment set, converting the fuzzy comprehensive evaluation result into a state level corresponding to the fuzzy comprehensive evaluation result. The method has the advantages that risk management and control on the power communication network are facilitated, and the problems of possible factor uncertainty and excessive dependence on subjective experience can be effectively solved, so that subjective and objective combined comprehensive evaluation is performed on the power communication backbone network data safety operation state.

The invention relates to a road condition evaluation method of a short-term traffic prediction map convolutional network, and belongs to the field of intelligent traffic. An adjacent matrix representing a distance binary relationship of nodes in a traffic network is abstracted into a fuzzy relationship matrix, a transfer relationship matrix representing a relationship among all potential nodes is obtained by calculating a transitive closure of the fuzzy relationship matrix, and a transfer relationship matrix based on current input is obtained by combining the transfer relationship matrix and a self-learning matrix of an attention mechanism, and the transfer relationship matrix based on current input is used for a graph convolution process. According to the method, the transfer relationship of the data in the traffic network is represented through weight learning, and the capability of capturing the dynamic space dependence in the traffic data flow by the graph convolutional network is improved. According to the model, three types of data sets are constructed, the long time span dependence in the traffic flow is considered; causal cavity convolution is employed, the short time span is considered; and therefore, the accuracy of traffic data prediction can be improved.

The invention relates to a fuzzy comprehensive diagnosis method for a high-voltage shunt reactor based on dissolved gas in oil. The method comprises the following steps that step 1 delta=max(b1, b2 to b9) is computed according to b=(b1, b2 to B9), wherein b=coR, b is a diagnosis result set, c is a weight vector, o is a generalized fuzzy operator and R is a fuzzy relation matrix between encoding and fault types; step 2 if bj is not less than delta/2, the fault type fj corresponding to the bj belongs to A(suspicious fault set), j=1, 2 to 9, and bj is credibility of the jth fault; step 3 if the degree of membership corresponding to any Ri in a set of Ri corresponding to all nonzero rij in the jth row of elements in a matrix R is not equal to 0, the fault fj probably exists, and the possible fault type fj belongs to B(suspicious fault set); and step 4 an intersection of A and B is a true fault reason set. The method adopted by the invention does not need a large amount of fault diagnosis sample database and is easy to realize programming, and the fault diagnosis of the high-voltage shunt reactor can be quickly and accurately carried out according to the dissolved gas in oil.

The invention discloses a method for evaluating water quality in a water functional area based on a fuzzy identification index. The method comprises the following steps of: counting and screening out water quality evaluation factors by use of a box plot; establishing an improved fuzzy synthetic evaluation model; determining an improved six-order membership function on the basis of a trapezoid function, and calculating the membership degree of the water-quality evaluation factors for each evaluation order to obtain a fuzzy relation matrix and a fuzzy synthetic evaluation result, and determining a water quality classification; and displaying a water quality evaluation result by use of the fuzzy identification index. The method can not only improves the precision of water quality evaluation but also makes the evaluation result simple and intuitive and makes the conveyed information rich and can provide technological and theoretical supports for further promotion of water environment pollution improvement work.

The invention relates to the field of aircraft climatic environment tests, in particular to a method for representing aircraft system climatic environment adaptability, which comprises the following steps of: collecting system parameters of an aircraft system for performing a climatic environment test in a laboratory, and constructing an aircraft key system index database; collecting airframe data, comparing the airframe data with a qualification criterion corresponding to the index database, rejecting unqualified data, and constructing a factor set U of aircraft system climate environment adaptability evaluation by using the qualified data; determining the weight of each factor, and constructing a weight set W; setting quantitative comments for aircraft key system factors, and constructing an evaluation set V; constructing a fuzzy relation matrix R from the aircraft key system factor set U to the evaluation set V; comprehensively judging the climate environment adaptability B of the aircraft system through the fuzzy relation matrix R and the weight set W; and evaluating the climatic environment adaptability C of the aircraft according to the evaluation result. The method has the technical effect that the adaptive capacity of the aircraft environment can be accurately evaluated.

The invention provides a safety assessment and dynamic regulation and control method for a power grid line. The safety assessment and dynamic regulation and control method comprises the steps: 1, establishing a power grid line safety assessment index system; 2, setting a power grid line safety index factor set U; 3, setting a safety comment set V; 4, calculating the weight value of the power gridline safety assessment index according to an analytic hierarchy process, and obtaining the weight vector of each level of index; 5, determining a fuzzy relation matrix R; 6, constructing a comprehensive safety assessment model; 7, obtaining the safety assessment level of the power grid line according to the comprehensive safety assessment model; and 8, carrying out dynamic safety regulation and control according to the obtained safety assessment level, and carrying out medium and short term safety regulation and control if the safety assessment level is a high influence or a high influence; ifthe safety assessment level is relatively low in influence, performing day-ahead safety regulation and control; and if the safety assessment level is low in influence, performing intra-day safety regulation and control.

The invention discloses a method for evaluating the water content of faults based on hierarchical analysis, which includes: summarizing the main factors affecting the water content of faults, and establishing a hierarchical structure model; relying on the hierarchical structure model, respectively establishing factor sets and weight sets; combining mining experience with production In practice, establish an evaluation level set; determine the membership degree and fuzzy relationship matrix of the evaluation indicators of each influencing factor; combine the evaluation level set with the results of the AHP to comprehensively evaluate the water content of the fault. Based on the AHP theory, combined with mining experience and production practice, the present invention evaluates the water content of faults qualitatively and quantitatively. Evaluation provides a new method and idea.

The invention discloses a rock mass quality non-linear fuzzy classification method. The method includes: firstly, determining single-factor types according to a construction method: saturated uniaxialcompressive strength, rock quality designation, discontinuity spacing, discontinuity state coefficient and underground water; secondly, determining final evaluation categories and corresponding single-factor categories, and dividing the rock mass quality into I-V levels; thirdly, making single-factor evaluations, and determining a fuzzy relation matrix: generalizing and analyzing a membership function, selecting an S-shaped segmented curve, calculating the grade of membership of each level, and accomplishing the single-factor evaluations; fourthly, performing modeling by employing an analytichierarchy process: 1) establishing a hierarchical structural model; 2) constructing all discrimination matrixes of all hierarchies; 3) performing hierarchical single ranking and consistence examination; and 4) performing hierarchical total ranking and consistence examination; and fifthly, performing comprehensive evaluation. According to the method, based on existed related theories and practicalachievements, the analytic hierarchy process and the fuzzy evaluation method are introduced to the rock mass quality classification for rock mass quality non-linear fuzzy evaluation and classification.

The invention discloses a performance evaluation method for a sintering production process on basis of fuzzy synthesis. The performance evaluation method comprises the following steps: firstly, establishing two evaluation factor subsets aiming at an optimizing control layer, setting performance indexes and evaluation grades, calculating a fuzzy relation matrix of each subset, determining weights of all single factor performance indexes in the subsets by adopting an information entropy method, and establishing first-grade comprehensive evaluation models; secondly, considering the first-grade comprehensive evaluation models of the two subsets as two single factor performance indexes for evaluating the factor sets, establishing a total fuzzy relation matrix, determining weights of the two single factor performance indexes by adopting the information entropy method, and obtaining a comprehensive evaluation result of the optimizing control layer by the fuzzy synthesis; finally, evaluating the performance of a carbon effect optimizing layer. Therefore, optimal control of the optimizing control layer can be ensured, and further an evaluation result of the carbon effect optimizing layer becomes more reasonable.

The invention provides a hard roof working face strata pressure behavior classification method. The hard roof working face strata pressure behavior classification method comprises the steps that an evaluation factor set of the hard roof working face strata pressure behavior classification is determined, and various evaluation factor values are obtained; an evaluation set of the hard roof working face strata pressure behavior classification is determined, namely the evaluation grade set of the hard roof working face strata pressure behaviors; fuzzy relations between all factors in the evaluation factor set and the evaluation grades in the evaluation set are built to obtain a fuzzy relation matrix; a weight set of each factor in the evaluation factor set of the hard roof working face strata pressure behavior classification is determined to obtain a weight vector of the factor; and the fuzzy relation matrix and the weight vectors are subjected to composite calculation, and the hard roof working face strata pressure behaviors are classified. According to the mechanics properties and inherent conditions of a hard roof, the working face strata pressure behavior intensity is classified, effective prediction of the working face strata pressure behavior intensity under the condition of the hard roof is achieved, a support scheme of a working face and a mining roadway is adopted in a targeted mode, and safe mining of the working face is achieved.

The invention discloses a multi-level fuzzy evaluation method for a barrier lake. The method comprises the following steps: determining an evaluation index set U influencing subsequent development ofthe barrier lake; establishing a developable comment set V = {v1,v2,v3,v4} of the barrier lake; constructing a membership function equation,and establishing a fuzzy relation matrix R which is equal to[rij] n * m; determining the weight A of each grading index,and determining the weight of each grading index by adopting an improved analytic hierarchy process; adopting the maximum membership principle and finding out the Bmax with the maximum component in the B vector,enabling the evaluation corresponding to the Bmax to serve as the result of fuzzy comprehensive evaluation,and achieving comprehensive evaluation of the exploitability of the barrier lake. According to the method,a fuzzy group decision-making method and a multi-level decision-making theory are introduced,a multi-level multi-factor decision-making weir dam exploitability argumentation mathematical model is established from three criterion layers of engineering safety risks,resource feasibility and ecological environment benefits,the exploitability of the weir dam is evaluated,and reference and guidance are provided for permanent regulation of the weir lake.