125results about How to "Comprehensive evaluation results" patented technology

The invention discloses a network security situation perception system and a method based on multilevel multi-angle analysis, wherein the system comprises a data gathering module, a network security situation understanding module, a network security situation estimation module and a network security situation forecasting module. The method for achieving the network security situation perception system comprises the following steps: firstly, doing statistical data fusion and association analysis to data in the aspects of assets, intimidation and vulnerability of a network system gathered by a sensor, and getting normalized data, secondly, analyzing the normalized data after the fusion of the step one, and doing network security situation special subject estimation, thirdly, doing network security situation factor estimation according to the normalized data obtained in the step one and the estimation result of the step two, fourthly, doing the integral estimation of network security situation according to the estimation result of the step three, fifthly, doing network security situation forecast according to the estimation result of the step D. The invention analyzes the security situation of network from multi levels and multi angles, and guarantees a result perception system to be more accurate and comprehensive.

The invention discloses a Bayesian reliability comprehensive estimation method based on multisource degraded data, which comprises the following steps of: 1. collecting multisource degraded data; 2. establishing a degraded statistic model and confirming a reliability function; 3. preprocessing the degraded data; 4. confirming and fusing prior distribution and posterior distribution; and 5. estimating the reliability of a product. The invention provides a method for establishing the degraded statistic model, which converts a form of the degraded data by carrying out transformation processing on the performance degrading model of the product and leads the degraded data which is not submitted to probability distribution to submit to the probability distribution, thereby leading the Bayesian method for commonly processing life data to be capable of processing the degraded data and realizing the Bayesian statistic estimation based on the degraded data; accordingly, the Bayesian method is introduced into the estimation method of an degradation accelerating test, and the estimation method of the degradation accelerating test is expanded.

The invention discloses a spoken language evaluation method through freely read topics and a spoken language evaluation system thereof. The method comprises the steps that voice signals to be evaluated are received; voice recognition is performed on the voice signals, and voice segments corresponding to all the basic voice units of the voice signals are obtained based on segmentation of the limited boundary of a recognition text; the pronunciation accuracy characteristics of the voice signals are extracted according to the recognition text and all the voice segments, and the pronunciation accuracy characteristics act as the evaluation characteristics of the voice signals; the pronunciation accuracy characteristics include any one or multiple of the following: the posterior probability of non-mistakenly recognized words, the proportion of misread words and the proportion of correctly read words; and the evaluation score of the voice signals is calculated according to the evaluation characteristics of the voice signals and an evaluation model which is constructed in advance. Automatic evaluation through the freely read topics can be accurately realized.

The invention relates to an assessing method for an influence of an office scene illuminating environment on vision health. The method comprises the following steps: measuring present working surface luminance, brightness, color temperature, lamp position, working environment area and illuminating power; adopting seven indexes, including vision comfort level, uniformity of luminance, strobe, brightness distribution, glare, color temperature and lighting power density; calculating the data of the seven indexes by repeatedly measuring the data of the practical illuminating scene; adopting an entropy weight method and confirming an index weight; and lastly, acquiring a comprehensive score. The invention provides the assessing method which is perfect in index system, easy in operation and capable of assessing the vision health for the office scene illuminating environment.

The invention discloses a tourism resource recommendation method and system based on tour behaviors. Scenic spot identifiers are provided for intelligent tourist terminals through arranging Bluetooth position label equipment at each scenic spot, and detailed tour tracks of the tourists at the scenic spots can be accurately acquired by the intelligent terminals; tour behavior data of the tourists is acquired by the intelligent terminals of the tourists, evaluation on each tourism resource can be acquired through calculating the tour behavior data of each tourist, and the recommendation result can be dynamically generated. The method is advantaged in that the evaluation data and the recommendation result of each scenic spot of a scenic region can be accurately acquired, the result can be acquired through calculating the tourist tour behaviors, objective and comprehensive properties can be realized, moreover, tour prices of tour resources dynamically change along with seasons, through statistics of the tourist tour behaviors at different time segments, the dynamic scenic region and scenic spot recommendation results at the different time segments can be acquired.

The present invention provides a rain sewage storage tank operation efficiency evaluation method. The method comprises the following steps: a model construction step: establishing a rain sewage storage tank pipe network model according to basic data of a drainage pipe network; a data acquisition step: acquiring operating data of each node of the drainage pipe network, and writing the operating data into a corresponding node in the model; a parameter setting step: setting operating data before operation of a rain sewage storage tank or a design parameter of the rain sewage storage tank to be a reference parameter; an indicator calculation step: calculating a closure capability indicator, a flood drainage capability indicator and a utilization capability indicator according to the operating data of the rain sewage storage tank pipe network model; and an efficiency evaluation step: comparing the closure capability indicator, the flood drainage capability indicator and the utilization capability indicator with the reference parameter, so as to obtain an evaluation result. According to the method provided by the present invention, the overall operation efficiency of the rain sewage storage tank is comprehensively reflected by means of a multi-level indicator evaluation system, and the method can also be used for layout optimization of the rain sewage storage tank and operating mode optimization of the rain sewage storage tank in an operating stage.

The invention discloses a ground risk evaluation method in unmanned aerial vehicle operation safety risk evaluation. The method comprises the following steps that specific parameter information and operation and scene information of an unmanned aerial vehicle are acquired; determining failure reasons of the unmanned aerial vehicle; determining a descending mode caused by failure of the unmanned aerial vehicle; uncertain parameters are integrated, and a ground collision probability density function is determined; simulating the population density model to obtain a final unmanned aerial vehiclefailure ground risk result; the method has the advantages that the types are comprehensive, the coverage range is wide, and powerful support is provided for accurately evaluating the risk to the ground when the unmanned aerial vehicle operation system fails. Death of people on the ground caused by ground collision is considered, and casualties caused by collision between the air and the manned aerial vehicle are also considered. And a more comprehensive and reliable evaluation result is obtained.

The embodiment of the invention discloses a method and a device for evaluating communication network efficiency, relating to the technical field of communications. The method and the device of the invention are used for solving the problem that the evaluation result obtained by evaluating the efficiency of a communication network via a single index in the prior art is not comprehensive. The specific solution of the method is as follows: establishing an efficiency evaluation system comprising a first-grade index (an efficiency index) and second-grade indexes (an efficiency comprehensive index, an effect comprehensive index and a benefit comprehensive index), obtaining the efficiency comprehensive index, the effect comprehensive index and the benefit comprehensive index of the communication network to be evaluated, and calculating the efficiency index of the communication network to be evaluated according to the efficiency comprehensive index, the effect comprehensive index and the benefit comprehensive index of the communication network to be evaluated.

The invention relates to a game theory combined weighting-based photovoltaic power plant performance evaluation method. The method includes the following steps that: photovoltaic power plant performance evaluation indexes are selected to establish an evaluation matrix; syntropy processing and normalization processing are performed on the evaluation matrix, so that a standard evaluation matrix can be formed; an analytic hierarchy process is adopted to determine the weight vectors w1 of the evaluation indexes; an entropy method is adopted to determine the weight vectors w2 of the evaluation indexes; a game theory-based combined weighting method is adopted to determine the comprehensive weights of the indexes; and the performance evaluation value of a photovoltaic power plant is calculated according to the comprehensive weights of the indexes, and the performance detection and evaluation of the photovoltaic power plant can be realized. According to the method of the invention, the weights determined by the two different methods are integrated to the comprehensive weights of the indexes through using the game theory, and therefore, the determined weight coefficients can reflect various kinds of information simultaneously, and one-sidedness and arbitrariness of using a single method to select weights can be avoided, and comprehensive and objective evaluation basis can be provided for electric power departments in photovoltaic power plant performance evaluation.

The invention discloses a node voltage sag severity multi-index evaluation method, which selects a plurality of evaluation indexes to establish an evaluation index set, overcomes the defect that onlyone aspect of the power supply side or the power consumption side is considered in the traditional evaluation method, and combines the two together to make the evaluation result more comprehensive. Atthe same time, the comprehensive weighting method based on AHP and CRITIC method is used to give new weight to the indexes, which not only fully considers the deep internal correlation among the evaluation indexes, but also reflects their relative importance, so that the evaluation results are more reasonable. The simulation results show that the method can reflect the actual situation of distribution network more truly, can accurately and effectively identify the weak nodes and vulnerable areas in the network, and lay the foundation for the treatment of voltage sag.

The present invention discloses a fuzzy mode identification-based blast furnace hot-blast stove energy consumption state multi-dimension assessment method. The method comprises the steps of (1) acquiring the hot-blast stove operation data in a steel enterprise energy management and control system, and calculating the energy consumption indexes of three dimensions; (2) obtaining an energy consumption index target value and an energy consumption index threshold value according to the historical data statistical analysis; (3) obtaining an energy consumption assessment index and the energy consumption assessment characteristic vectors of multiple dimensions; (4) circularly executing the steps (1), (2) and (3), and obtaining the typical energy consumption assessment characteristic vectors to form a complete state sample set; (5) clustering and classifying the sample set by a fuzzy C-means (FCM) clustering algorithm; (6) acquiring the to-be-assessed operation data of the blast furnace hot-blast stove to obtain a to-be-assessed energy consumption assessment index, adopting an evidence theory-based fuzzy mode identification method to match the characteristic vectors of the energy consumption assessment index with a symptom set in the step (5), thereby obtaining a final assessment result of the energy consumption state of the hot-blast stove.

The invention discloses a prediction method for link stability of an Ad Hoc network, which includes steps: firstly, assessing direct stability of the link; secondly, assessing indirect stability of the link; thirdly, assessing comprehensive stability of the link; fourthly, taking stability as a foundation for a multicast routing protocol so as to solve the problem that the multicast routing protocol based on the existing link stability serving as a routing standard is unable to adapt to an unstable environment with high mobility, strong interference and the like. The prediction method for link stability of the Ad Hoc network is simple in calculation, low in working capacity during a process of accessing the link stability, stable in holistic performance and strong in adaptability for the network and low in energy consumption and has low requirements for hardware.

The invention discloses an anti-differential fault attack security evaluation method and system suitable for block cipher algorithm infection protection. The method comprises the following steps: 1) calculating priori information of original ciphertext difference according to a block cipher algorithm, a fault injection target intermediate value and a fault model; 2) calculating the numerical valueof the information entropy in the infection protection to be evaluated; 3) calculating a numerical lower bound of information entropy in safety infection protection according to a block cipher algorithm, the fault injection target intermediate value and the fault model; and 4) judging the safety of the infection protection to be evaluated by comparing the relationship between the numerical valueof the information entropy in the infection protection to be evaluated and the lower bound of the numerical value. According to the method, the safety of infection protection is measured by information entropy, so that the evaluation process is independent of a specific key recovery strategy, and the evaluation result is more accurate. Meanwhile, according to the method, the infection function isseparated from the implementation of the block cipher of infection protection, so that the evaluation is universally applied to various different infection protections, and the evaluation efficiency is improved.

The invention discloses a multi-source multidimensional data based evaluation method, an evaluation device and a terminal. The method includes the steps: acquiring an evaluation objective comprising an evaluation object, evaluation dimensions and condition requirements; screening an evaluation database to acquire identification data corresponding to the evaluation object; screening dimension values meeting the condition requirements from dimension values corresponding to the acquired identification data according to the evaluation dimensions; performing statistical evaluation on the screened dimension values to acquire evaluation results. The evaluation database comprises evaluation data from at least one data source, and each evaluation datum has at least one identification type of the evaluation object, corresponding identification data and the dimension values of at least one evaluation dimension. The evaluation data of different data sources and different data dimensions can be combined based on the standard evaluation database, more comprehensive and accurate evaluation results are acquired, and diversified evaluation requirements of users are met.

The invention discloses a transformer bushing evaluation method, which fuses a plurality of indexes reflecting the state of a transformer bushing, comprehensively and comprehensively reflects the state of the bushing based on a fuzzy theory and a neural network algorithm, and introduces a variable weight and the neural network algorithm on the basis of fuzzy comprehensive evaluation. According tothe fuzzy control method, the limitation of conventional weight and the subjectivity of artificially determining the membership function are overcome, and the self-updating and self-adaption of the membership function are realized through neural network training, so that the fuzzy control has certain self-learning capability, and the evaluation result is more reliable.

The invention discloses a method for analyzing elevation matching quality of a laser radar flight strip. The method comprises the step of acquiring a laser radar point cloud data of a plurality of air strips covering one area, wherein the overlapped areas are generated among the plurality of flight strips, and the point cloud data include the plane coordinates of each echo point and elevation data. The method comprises the steps of gridding construction point cloud data; processing grid data of the overlapped areas; outputting data results. Compared with the traditional analyzing method, the method has the advantages that the laser radar flight strip data can be automatically processed through a computer, the matching quality of the data of the plurality of flight strip data in the flight area can be quickly evaluated, the size of different grid units can be set for repeatedly processing, and therefore, the evaluation results are comprehensive, and the manpower can be saved.

The invention provides a supplier management model system comprising the following steps of: (1) firstly, carrying out competency assessment on a supplier, and then grading and ranking competency conditions by the system; (2) assessing performances of the supplier according to estimated results of the competency assessment of the supplier, wherein the results comprise assessment grade, cost, manufacture, installation and debugging and an operation and maintenance part; and (3) classifying the supplier according to a performance assessment result of the supplier, so as to realize the management of a supplier relation. According to the invention, by adopting an advanced management analysis model and a scientific mathematic analysis method, a specific analysis and management process on the supplier can be realized, so that the accuracy on analyzing and assessing the supplier is improved. The supplier management model system can be widely applied to various supply chain management systems.

The invention relates to a system level chip evaluation device and method. The device comprises an ATE test board, an SoC system verification board and a controller, wherein the controller controls the ATE test board to obtain parameter level data of a system-on-chip to be tested, and controls the SoC system verification board to obtain application level data of the system-on-chip to be tested, and obtains the evaluation result of the system-on-chip to be tested according to the parameter level data and the application level data of the system-on-chip to be tested. The parameter level test ofthe system-on-chip to be tested be realized, the application level test of the system-on-chip to be tested can be realized, and the performance test of the SoC chip can be performed more comprehensively and systematically, thereby obtaining a more comprehensive evaluation result, reducing the dependence of the SoC chip testing on automated test equipment, and significantly reducing the huge cost due to hardware upgrade of the automated test equipment.

The invention discloses an evaluation method and evaluation system for a feeder automatic processing effect. The method comprises: reasonability of switching state changing at all zones of a distribution network during the feeder automatic processing process is determined; a fault processing load recovery rate of the distribution network is calculated; and according to the reasonability and the fault processing load recovery rate, a feeder automatic processing effect is evaluated comprehensively. In addition, the system is composed of a state changing reasonability determination unit, a fault processing recovery rate calculation unit, and an effect evaluation unit. According to the evaluation method and evaluation system, the feeder automatic processing effect is evaluated comprehensively from the two perspectives of the action process and the action result of the feeder automatic processing, so that the evaluation result can disclose the feeder automatic processing effect accurately and comprehensively.

The invention discloses a white light LED light source spectrum design and evaluation method. The problem of existing white light LED light source spectrum pertinence design is solved, and the spectrum design and evaluation accuracy is improved. The method comprises the following steps of 1 reflection spectrum testing on all point areas of the surface of a lighted object under a reference light source; 2 calculation of spectral energy of all wave bands and preparation of a white light LED light source; 3 reflection spectrum testing on the point areas of the surface of the lighted object under the white light LED light source; 4 calculation of chromaticity coordinates and chromatic aberrations of two reflection spectrums; 5 calculation of the overall color trueness Rf and the overall color saturability Rg; 6 determination on an Rf numerical value and an Rg numerical value, wherein if the numerical values do not meet the preset requirements, the steps from second to sixth continue to be conducted. The white light LED light source spectrum obtained through the method is high in pertinence and spectrum utilization rate and excellent in color reduction degree; the method can be applied to museum lighting, medical lighting, garment lighting and the like.

The invention relates to a scientific research institution integration evaluation method and a system thereof. The method comprises the following steps of collecting attribute information of a plurality of scientific research institutions and classifying the plurality of scientific research institutions according to the attribute information; according to types of the scientific research institutions, determining a plurality of index metadata of the scientific research institutions; according to the plurality of index metadata, generating index systems corresponding to the types of the scientific research institutions; determining a target type of a target scientific research institution inquired by a user; according to a target index system corresponding to the target type, evaluating and analyzing the target scientific research institution and acquiring an evaluation result. The system comprises an acquisition classification module, an index metadata extraction module, an index system establishing module and a scientific research institution evaluation module. The method and the system provided in the invention are used to evaluate the scientific research institutions, because the respective corresponding index system is used to evaluate the different types of the scientific research institutions, reliability and accuracy of the evaluation result are increased.

The invention discloses a comprehensive effectiveness assessment method of an adaptive null-steering antenna. The method comprises the following steps: firstly, building an evaluation hierarchy structure model, and calculating evaluation scores of the adaptive null-steering antenna under different conditions by using an analytic hierarchy process, so as to carry out comprehensive assessment of the effectiveness on the adaptive null-steering antenna. By adopting the comprehensive effectiveness assessment method, the technical problem of comprehensive assessment based on each index of the adaptive null-steering antenna can be solved, the comprehensive effectiveness assessment method can be widely applied to the fields of radar, communication and the like, which employ the adaptive nulling antenna system, and technical research, production and improvement of the adaptive null-steering antenna system can be guided.

The invention relates to a method for evaluating access of an electric vehicle charging and replacing facility to a power distribution network. The method comprises the following steps of: setting five types of evaluation indexes of technicality, economy, normalization, electric energy quality and system secondary; refining the set five types of evaluation indexes of technicality, economy, normalization, electric energy quality and system secondary; carrying out weight calculation evaluation on the obtained detailed indexes, wherein the indexes are evaluated by adopting a percentage system scoring mode; according to the index system and method, scoring each evaluation index of the power distribution network accessed to the charging and replacing facility one by one; calculating to obtain afinal evaluation score according to the obtained weight of each index; and repeating the above steps to obtain an evaluation value of the scheme of connecting each electric vehicle charging and replacing facility to the power distribution network, and indicating that the scheme is high in comprehensive level with a high evaluation value. An evaluation conclusion is divided into three levels of higher level, middle level and lower level. The method can be widely applied to the field of evaluation of power distribution network access of electric vehicle charging and replacing facilities.

The invention discloses a method for evaluating the link quality of a wireless sensor network. The decomposing the wireless sensor network, the link quality evaluation is abstracted into a multi-attribute decision making process. Link transmission efficiency, a link fluctuation degree and received signal strength are selected as evaluation attributes of the link quality. A packet reception rate, asignal-to-noise ratio mean square error and a received signal strength mean are respectively used for quantifying the evaluation attributes, and the missing information is filled with a minimum value. Considering the complexity of the link environment and the inconsistency of link quality standards, a horizontal method is used for performing fuzzification on link quality information within multiple detection periods, an improved entropy method is used for calculating the influence degree of each evaluation attribute on the link quality, and the evaluation attributes are comprehensively evaluated by using an improved ideal solution to measure the link quality with relative closeness. The method has the advantages that the complexity of the link environment and the inconsistency of the linkquality standards are considered in the fuzzification method, so that the evaluation result of the link quality is more reliable.

The invention discloses a wearable multi-dimensional gait analysis system and method which comprises inertia measurement sensors, pressure sensors, surface myoelectricity sensors, a data router and an upper computer, and data measured by the sensors are sent to the upper computer through the data router in a wireless mode. The analysis method comprises the steps: wearing the sensors: the pressure sensors are installed in the shoes, the inertia measurement sensors are installed on the waist, the thighs, the shanks and the feet respectively, and the surface myoelectricity sensors are installed on the muscle skin surfaces respectively; gait data measurement: a subject walks, and all sensors send data to the upper computer in the wireless mode through a microprocessor; preprocessing: the upper computer collects data from the pressure sensors, the inertia measurement sensors and the surface myoelectricity sensors and receives the data through the data router, and filters and resolves the data; and multi-dimensional gait analysis: carrying out multi-dimensional gait analysis according to the variables. The gait behavior and movement mechanism of the wearer can be analyzed in multiple dimensions.

The invention discloses an electricity consumption data-based user energy consumption quality evaluation method and system, wherein the method includes the following steps: calculation information including index score calculation methods corresponding to all indexes are acquired based on all indexes of first class indexes at least including a safety and reliability index and an economic index; electricity consumption data of all items of a user is acquired; all indexes of the electricity consumption data of all items are calculated according to the index score calculation methods corresponding to all indexes in the calculation information to obtain corresponding score values of all indexes; the score values of all indexes are evaluated according to corresponding relations between score value ranges of all indexes in scoring rules preset based on all indexes and all score value levels, so as to obtain evaluation results of all indexes for energy consumption quality of the user; in thisway, the electricity consumption data-based user energy consumption quality evaluation method can provide accurate and comprehensive evaluation results for all indexes based on acquired electricity consumption data of the user.

A dynamic evaluation method for the running state of an integrated energy system comprises the steps that firstly, multi-stage data of the integrated energy system are collected, and an index system including the technical, economic and environment-friendly integrated energy system is constructed; secondly, analyzing the influence of the indexes on the running state of the integrated energy system, dividing the indexes into benefit type indexes and cost type indexes, and calculating to obtain a standard index matrix; thirdly, inviting an expert group to carry out importance sorting on the index system, comprehensively considering influence factors of experts, and applying a group G1 method to obtain an index weight; then, a TOPSIS method is used, an absolute ideal solution is set, and the close degree is solved; and finally, according to the operation state characteristics of the multi-stage comprehensive energy system, performing dynamic evaluation by using a double-excitation control line principle. According to the method, one-sided reflection of a single type of index on the running state of the integrated energy system is avoided, the development trend of the integrated energy system is considered, the evaluation result can be more comprehensive, and the method is of great significance in guiding running and planning of the integrated energy system.

The invention relates to a method for establishing a tight sandstone reservoir permeability calculation model, which comprises the following steps: extracting pores by using a laser scanning confocal microscope based on the laser scanning confocal microscope and image processing; secondly, extracting a surface porosity, a pore shape factor, an equivalent pore diameter, a pore diameter sorting index and fractal dimension parameters by utilizing image processing to represent a pore structure, and further establishing a permeability calculation model through the pore structure parameters. According to the invention, the permeability calculation model established by the method is used for predicting the permeability of the tight sandstone reservoir, the permeability can be accurately predicted, the permeability prediction of any position of the sample can be completed, the defect that the permeability of the tight sandstone reservoir is evaluated only depending on a rock columnar sample or logging data in the past is overcome, the reservoir permeability evaluation can better reflect the heterogeneity of the reservoir, the evaluation result is more comprehensive, and the exploration and development success rate is effectively improved.

The invention relates to a power system safety technology, in particular to a power system source network load storage intrinsic safety risk assessment method, which comprises the following steps of:firstly, respectively carrying out probability modeling on wind power, photovoltaic output and load to describe random volatility of the wind power, the photovoltaic output and the load, and proposingcharging and discharging strategies of energy storage; secondly, carrying out load flow calculation on a power system by adopting a probabilistic load flow method based on Latin hypercube sampling; and finally, establishing safety and economy risk indexes, determining a system risk calculation method by adopting a subjective weight determination method, and evaluating the intrinsic safety level of the source network load storage of the power system. Influences of changes of sources, loads and reservoirs on risks are discussed in different scenes, the intrinsic safety risk of the sources, grids, loads and reservoirs of the power system can be scientifically and systematically evaluated, decision reference is provided for risk management and control of a power department, and the intrinsicsafety level of the power system can be improved.

The invention discloses a supervisor performance evaluation method and system in city management. Comprising the steps of enabling a mobile device to collect GPS coordinate points of a supervisor, matching the collected coordinate points to a specific road network according to the time sequence, forming a patrol route of the supervisor, and obtaining data such as the track length and patrol time of the supervisor automatically; performing similarity calculation on the obtained evaluation indexes and dividing the evaluation indexes into at least two secondary factor sets; constructing a first-level factor set by taking the second-level factors as factors, and constructing a model structure diagram of supervisor performance evaluation; calculating the weight of the first-level factor set and the weight of the second-level factor set by adopting a combined weighting method, and comprehensively evaluating the performance of the supervisor according to the solved weight. The problems that the patrol track of a supervisor is difficult to count and time and labor are consumed are solved, and human resources are saved; the acquired evaluation index data is more accurate, and the evaluation result is more comprehensive.