58results about How to "Comprehensive evaluation indicators" patented technology

The invention discloses an offshore area ecological environment comprehensive evaluation method based on the analytic hierarchy process and the comprehensive evaluation method. The method comprises the following steps: (1) obtaining the essential data of each index of the offshore area ecological environment quality; (2) selecting appropriate evaluation indexes to establish a comprehensive evaluation index system; (3) scoring each index; (4) utilizing the analytic hierarchy process to establish the hierarchical relationship of the indexes and determine the weighting of each index; (5) calculating the comprehensive score A of the offshore area ecological environment quality according to the formulas (1-8); and obtaining the quality classification of the offshore area ecological environment according to the comprehensive score of the offshore area ecological environment quality. The method of the invention overcomes the problem that the evaluation result of the single factor evaluation method is single and is difficult to completely reflect the offshore area ecological environment quality.

The invention discloses a multi-target remote sensing image segmentation method based on decomposition, which mainly solves the problems of the existing image segmentation technology, such as single evaluation index, high computing complexity and bad segmentation effect. The method mainly comprises the following steps of: inputting a remote sensing image to be segmented; extracting the characteristics of the image to be segmented; generating clustered data; initializing the initial population; calculating the fitness value of individual; initializing the sub-problems; evolving the individuals in each sub-problem; judging whether the termination condition is met to allocate a category label; generating the optimal individual; and outputting the segmented image. The method disclosed by the invention extracts the fusion characteristics of each pixel of the image and generates super-pixel characteristics in combination with watershed coarse division; and decomposing multiple target problems into a series of sub-problems through a decomposition multi-target method to realize the segmentation of a remote sensing image. The method disclosed by the invention has the advantages of diverse evaluation indexes, low computing complexity, good detail maintenance and the like, realizes high image segmentation precision and accurate edge positioning, and can be applied to the segmentation of a complicated image.

The invention relates to an electric power communication service risk calculation method based on a fuzzy decision tree. The method comprises the following steps: decomposing the service process of an electric power communication system using an analytic hierarchy process, and building a hierarchical electric power communication service model; determining the risk indicator of each leaf node in the built hierarchical electric power communication service model, and determining the weight value for each risk indicator; checking the consistency of the at least two risk indicators, and taking the at least two risk indicators as input data after the at least two risk indicators pass consistency check; taking one part of the input data as training data to build a training model; taking the other part of the input data as test data to test the training model; when the training model passes test, classifying the input data using the training model to get a classification result; and performing classified calculation according to the classification result to determine the risk value of each service in electric power communication.

The invention discloses an unsupervised image division method based on a multi-target immune cluster integration technology, which mainly solves the problems of poor global optimization capability, single evaluation index, single division scheme form and difficult selection of a plurality of division schemes in the traditional technology. The method comprises the following steps of: (1) extracting gray scale information and wavelet energy information of an image to be divided; (2) sampling the image by using an area-based sampling policy to generate a test sample set; (3) selecting different characteristic vectors to form a plurality of test sample sets; (3) generating a primary division scheme by using an evolution cluster based on a multi-target immune algorithm; (5) integrating and learning an optimal division scheme in the primary division scheme; (6) marking the class of the pixel points of the image according to the selected division scheme; and (7) outputting the image division result. The invention has advantages of high average accuracy in image division and strong robustness and is applicable to the obtaining of image information and the division of image texture.

The invention discloses an analysis method of a circuit-breaker arc-extinguishing-chamber electrical life. The method comprises the following steps of during an operation process that a circuit breaker arc extinguishing chamber bears a load or fault current, monitoring and recording a prebreakdown current waveform and arc burning time in a closing process of the circuit breaker arc extinguishing chamber and a breaking current waveform and the arc burning time in an opening process so as to determine energy indexes in the closing and opening processes; according to the energy indexes, analyzing and determining an ablation state of a key position of the circuit breaker arc extinguishing chamber, and then according to the ablation state, analyzing and determining a flow field characteristic index; and finally, through comparison of the flow field characteristic index and a given threshold, analyzing the electrical life of the circuit breaker arc extinguishing chamber.

The invention discloses a method and a device for rapid nondestructive detection of fish freshness based on computer vision. The method comprises the following steps: acquiring characteristic information of a fish body, and confirming the freshness grade of the fish body; wherein the feature information is obtained by collecting an image of a fisheye and processing the image, and the processing refers to extracting color feature values of RGB, HIS and L * a * b * color space in the image; wherein the freshness level is determined by taking the freshness level, the feature information of the fish body with the known freshness level and the feature information of the current fish body with the to-be-determined freshness level as categories respectively and correspondingly, and adopting a one-to-one SVM classification method for the training sample and the test sample. The device comprises a computer for operating the method. According to the method for detecting the freshness of the fishbody, samples do not need to be pretreated and the detection precision is high. No chemical reagent is used, the environmental friendliness is good, and the detection cost is low. The device is simple in structure, high in detection speed and good in application prospect.

The invention discloses an improved order relation method based comprehensive evaluation method for voltage states of medium-voltage distribution lines. The method comprises the steps of firstly, proposing a voltage state characteristic index system of the 10kV distribution lines in three aspects of line attributes, charge characteristics and management factors, and calculating a centesimal system score of each index of each 10kV distribution line; secondly, determining a weight of each index by applying an improved order relation method; and finally, performing multiplication and summation calculation on a value of each index and the weight corresponding to the index to obtain a voltage state comprehensive evaluation value of each 10kV distribution line, and quantitatively evaluating the voltage states of the numerous varied 10kV distribution lines. The method has the advantages of comprehensive evaluation indexes and easiness for acquiring evaluation data, has relatively high operability, practicality and applicability, and can effectively improve the voltage control efficiency and management level of the 10kV distribution lines.

The present invention discloses a WEB-based software testing training system and method. The system is partitioned into a data layer, a service logic layer and a presentation layer, wherein the data layer comprises a relational database; the service logic layer comprises a user service module, a class service module, a testing task service module, an execution service module, an analysis service module and a reporting service module; and the presentation layer comprises an interaction module. A user inputs a testing case according to a testing task; the execution service module executes a tested program and gives out a plurality of defect correction options for each defect found by the user and the user selects the correction option; the execution service module generates a repaired tested program copy according to the selection of the user and executes the program copy and the analysis service module judges whether the user finds the defect of the tested program and judges whether the user repairs the defect; and the reporting service module reports the found and repaired defect. The user completes software testing exercises by the self and obtains real-time guidance by the system, so that a teaching load is greatly reduced and teaching efficiency and a teaching effect are improved.

The invention discloses a target motion trajectory smoothness evaluation method and aims to achieve the excellent guiding effect. The method is characterized in that from two aspects of the fluctuation degree of the target motion position and the change of the target motion direction, a target motion trajectory smoothness evaluation index is established, the time, longitude, latitude and elevationinformation of target motion trajectory data is extracted, the target motion trajectory information is utilized to calculate and estimate an index capable of reflecting the fluctuation degree of thetarget motion position and an index capable of reflecting the change of the target motion direction, the above two index values reflecting the fluctuation degree of the target motion position and thechange of the target motion direction are multiplied to obtain the final target motion trajectory smoothness index; an evaluation value of the target trajectory smoothness index is obtained.

The invention discloses a power grid structure optimization method capable of reducing transmission loss and relieving voltage sag, comprising the following steps: first, acquisition of optional operation schemes of a power grid: acquiring all optional operation schemes according to the condition whether parallel capacitors are installed on respective buses in a to-be-optimized power grid, capacity of the installed parallel capacitors, the condition whether switches are installed on respective branches, and states of the installed switches; second, feasibility determination; third, determination of transmission loss of the power grid: screening operation schemes with low transmission loss; fourth, determination on influence of voltage sag: 401, calculating voltage sag evaluation indexes of the power grid, 402, determining a configuration scheme with low voltage sag influence; and fifth, investment cost determination: 501, calculating investment cost, 502, determining an optimized operation scheme. The power grid structure optimization method disclosed by the invention has the advantages of simple method steps, reasonable design, convenience for implementation, good using effect, reduced transmission loss, relieved voltage sag, economical configuration of the parallel capacitors and capability of realizing safety operation and economical operation of the power grid.

The invention relates to a method for estimating performance of an additive for limestone wet-method flue gas desulfurization. At present, chemical agent consumption is very high in estimation on the performance of a desulfurization additive, and the additive is estimated incompletely and inaccurately since evaluation methods are unscientific, incomplete and not systematic. The method provided by the invention comprises the following estimating steps: 1) selecting the operation conditions required for evaluating according to the characteristics and operation state of the desulfurization system needing the additive; 2) realizing the selected operation work conditions that the additive is added and the additive is not added, and recording relative parameters; 3) evaluating the influence of the additive on the desulfurization effect according to the improvement condition of the desulfurization efficiency after the additive is added as compared with the desulfurization efficiency without adding the additive in each work condition; meanwhile, evaluating the influence of the additive on the desulfurized byproduct and subsequent processing technique by using the gypsum quality and COD (chemical oxygen demand) content of desulfurized waste water as indexes. The method provided by the invention can scientifically and accurately evaluate the use effect of the desulfurization additive, the evaluation time is greatly shortened, and the chemical agent consumption is greatly reduced.

The invention relates to an introduction and screening method for ornamental grass in a coastal salt and alkali area. The method comprises the following steps that salt tolerance, shade tolerance, drought tolerance and flooding tolerance are used as evaluation indexes, and the ornamental grass is evaluated through grey correlation analysis. The method is comprehensive in evaluation index, the actuality of the coastal salt and alkali area is met, the evaluation period is short, the screening period is shortened, and introduction and promotion of the varieties of the ornamental grass in the coastal salt and alkali area are facilitated.

The invention discloses a target motion trail comprehensive quality evaluation method, and aims to provide a comprehensive quality evaluation method which is complete in evaluation index and independent of external information. According to the technical scheme, the method comprises the following steps: firstly, starting from a target motion trail, establishing a target motion trail comprehensiveevaluation index system based on time interval quality, point loss rate quality and track smoothness quality; secondly, extracting time, longitude, latitude and elevation information in the target motion trail data, and calculating a time interval quality index, a point loss rate quality index and a track smoothness quality index which reflect the quality of the target motion trail by utilizing the information; and finally, determining weighting coefficients of the three quality indexes based on an analytic hierarchy process, and calculating a target motion trail comprehensive quality evaluation index through a weighted summation mode. And thus, comprehensive evaluation of the target motion track quality is completed.

The embodiment of the invention discloses a credit anti-fraud identification method and device based on big data, equipment and a medium, which are used for solving the problem that the existing anti-fraud means are poor in interception effect on newly appearing and hidden fraud means. The method comprises the following steps: establishing an enterprise database according to pre-acquired multi-party data; based on the enterprise database, extracting an enterprise anti-fraud rule set, and establishing an enterprise anti-fraud strategy library according to the enterprise anti-fraud rule set; establishing an enterprise fraud evaluation index system fusing enterprise basic attributes and enterprise equipment relation attributes for the enterprise database; based on the enterprise fraud evaluation index system, establishing an enterprise anti-fraud scoring model through a deep learning algorithm; and establishing an enterprise fraud decision engine based on the enterprise anti-fraud strategy library and the enterprise anti-fraud scoring model, and performing strategy configuration through the enterprise fraud decision engine to determine an enterprise anti-fraud strategy so as to identify an enterprise anti-fraud risk.

The invention provides a low-voltage transformer area acceptance distributed photovoltaic power generation capability evaluation method. The method comprises the following steps: acquiring an evaluation index value of the low-voltage transformer area acceptance distributed photovoltaic power generation capability; and according to the evaluation index value, obtaining an evaluation result of the low-voltage transformer area acceptance distributed photovoltaic power generation capability, wherein the evaluation indexes comprise main transformer exchange capacity, line exchange capacity, adaptability of low-voltage power grid relay protection, voltage deviation, voltage fluctuation, flicker, operation network loss, harmonic pollution, reliability and economy. The evaluation indexes providedby the invention not only comprise the aspects of electric energy quality such as main transformer exchange capacity, but also comprise the aspects of flexibility and economy of distributed photovoltaic power generation, and are comprehensive; meanwhile, according to the evaluation method provided by the invention, weights are allocated to all the evaluation indexes, evaluation is carried out by adopting a weighted average method, and low-voltage transformer area acceptance distributed photovoltaic power generation capability can be comprehensively and scientifically evaluated.

The invention discloses an operation effect evaluation monitoring system and method for a sanitation special vehicle, and the operation effect evaluation monitoring system comprises a signal collection unit which is disposed in a special vehicle body and is used for collecting the actual operation parameters of a special vehicle in real time; and a signal transmission unit which is arranged in thespecial vehicle body and is used for communication and data transmission between the special vehicle and a working platform as well as navigation and positioning of the special vehicle; and the working platform which is arranged outside the special vehicle and is used for receiving the actual operation parameters transmitted by the signal transmission unit, calculating and comparing the actual operation parameters with set target parameters, evaluating the operation effect of the environmental sanitation special vehicle and issuing a working instruction. The operation effect evaluation monitoring system and method for a sanitation special vehicle enable a sanitation operation manager to timely and accurately know the actual working condition and the working effect of the sanitation operation vehicle through the remote working platform, and can timely remind a driver when the sanitation operation vehicle does not work standardly, thereby facilitating the improvement of the working quality of the sanitation operation.

The invention belongs to the technical field of education evaluation, and discloses a researcher education quality evaluation system and method based on an interval model. The system comprises a data acquisition module, a data processing module, a central control module, an index determination module, an index weight determination module, an inspection module, a quality grade division module, a quality grade score calculation module, an education quality interval model construction module, an evaluation module and a result output module. The scores of the researchers in one school year or in the whole research period are measured from the aspects of scores, score changes, submission, projects, awards, patents or intellectual properties and the like, the excellent levels of the researchers are divided, and the education quality of the college or the researchers of the system is judged according to the levels of all the researchers brought by a certain college or teacher. The evaluation indexes are comprehensive, the evaluation is objective, the weight setting is reasonable, and the education quality of current researchers can be effectively evaluated.

The invention discloses a power grid parallel capacitor configuration method based on a voltage sag assessment index. The method comprises the following steps of (1) acquiring power grid selectable parallel capacitor configuration schemes; (2) judging feasibility, and screening feasible parallel capacitor configuration schemes; (3) judging power grid transmission loss, and screening a low-transmission-loss parallel capacitor configuration scheme; (4) judging a voltage sag influence: 401, calculating the power grid voltage sag assessment index; 402, determining a low voltage sag influence configuration scheme; (5) judging input cost: 501, calculating the input cost; 502, determining an optimal parallel capacitor configuration scheme. The method provided by the invention is simple in step, reasonable in design, and convenient to implement, and has a good use effect, not only is the transmission loss reduced, but also voltage sag is effectively relieved, the economical efficiency of power grid parallel capacitor configuration is also considered, safe operation and economic operation of a power grid can be realized, and the popularization and application value is high.

The invention discloses an SAR image segmentation method based on decomposition evolution multi-objective optimization and FCM. The method mainly solves the problem that in the prior art of image segmentation, image segmentation precision is not high, the evaluation index is single, and the segmentation effect is not ideal. The method comprises the steps that the Gabor feature and gray level symbiotic feature of each pixel of an image are extracted, and a superpixel is obtained through rough segmentation of a watershed, superpixel features are used as data to be clustered, a clustering center is used as individual species, the species are optimized through the decomposition evolution multi-objective method, the species obtained after evolution are used as the clustering center to initialize the FCM algorithm, a new clustering center is obtained and used as new species for participating in the next evolution of the decomposition evolution multi-objective algorithm. According to the SAR image segmentation method, the better clustering center is obtained through cross adoption of the decomposition evolution multi-objective algorithm and the FCM algorithm, the defect that the FCM initial value is sensitive and falls into a local optimal solution easily is overcome, and the better image segmentation result can be obtained.

The invention provides a method for determining the high-temperature interaction reactivity between the iron-containing furnace materials of a blast furnace. The method is used for determining and evaluating the interaction reactivity of the iron-containing furnace materials. Traditionally, the behavior for comprehensively deducing the furnace charge in a high-temperature zone of the blast furnaceaccording to the molten drop performance of the single furnace material is not comprehensive and accurate, the sintered ore and the lump ore/pellet ore react interactively in a high-temperature state, and the high-temperature interaction reaction characteristic has influence on the burden softening and dripping performance of the comprehensive furnace materials. The theoretical support can be provided for the optimized ore blending of the blast furnace by proposing the high-temperature interaction reaction evaluation indexes.

The invention discloses an effect evaluation experiment method for repairing a steel bridge pavement pit slot by asphalt brick induction heating. The method comprises the following steps: manufacturing and cutting a track plate; coating asphalt on the cutting surface of the cut track plate and spreading an induction material; repairing the rut plate through induction heating; processing the repaired rut plate into three small beam test pieces and three oblique shear test pieces, and carrying out three-point bending and oblique shear experiments; manufacturing a Marshall test piece and bondingthe Marshall test piece with the steel plate through induction heating to form a composite test piece; and carrying out interlayer shearing and drawing experiments on the composite test piece. The method can solve the problems that a quantitative evaluation method is lacked at present, the reliability of repairing effect feedback is greatly reduced, and maintenance work is difficult to scientifically guide.

The invention discloses an evaluation method for identifying the applicability of a specific marker region, which comprises the following steps: S1, collecting a sample, and extracting DNA; s2, selecting a specific primer; s3, making a qPCR reaction and a standard curve; s4, selecting sensitivity, specificity, source strength characteristics, a 25th/75th threshold value and a target source 25th/75th as indexes for evaluating the applicability of the primer, and calculating the value of each index; and S5, performing weighting on five types of parameter indexes including primer sensitivity, specificity, source strength characteristics, 25th/75th threshold values and target source 25th/75th by utilizing an analytic hierarchy process to obtain comprehensive adaptability evaluation of each primer. According to the method disclosed by the invention, the host specific marker which has the advantages of specificity, relatively high detection level and relatively stable detection concentrationcan be effectively screened out and is used for subsequent water body microbial pollution quantitative source analysis work.