536results about How to "The assessment results are accurate" patented technology

The invention discloses an online cognitive assessment system and an assessment method, and belongs to the field of assessment systems. The online cognitive assessment system comprises a terminal platform, wherein the terminal platform comprises a processor module, a power supply module, a man-machine interaction module, a communication module, a recording module, an assessment module, a storage module, a calculation module and an output module; the power supply module, the man-machine interaction module, the communication module, the recording module, the assessment module, the storage module, the calculation module and the output module are connected with the processor module respectively. Online cognitive diagnosis is carried out through reading and processing information of each module. By adopting the online cognitive assessment system and the assessment method, rapid and accurate assessment and good accuracy can be realized, and information is updated in real time.

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 method for evaluating traffic operational conditions of a highway based on multisource data fusion and relates to the technical field of evaluation of the traffic operational conditions. The traffic operational conditions of the highway based on multisource data fusion are evaluated in combination with a large amount of GPS (global positioning system) data acquired and accumulated by a floating car acquisition system and a large amount of toll data acquired and accumulated by a highway toll system by utilizing data of fixed car detectors, and an obtained evaluation result of the traffic operational condition of the highway is more accurate and wider in coverage range, so that a defect of insufficient arrangement of car detectors can be made up for, road network monitoring range and system can be performed, traffic jams on roads can be accurately discovered in time, and the safety and efficiency of road traffic can be guaranteed; moreover, the toll data and floating car data are all based on existing toll system and floating car GPS management system, and the additional data acquisition cost is zero, so that the method provided by the embodiment of the invention is good in economy and promotion prospect.

The invention discloses a safety assessment system for a river water environment of a plain river network, and belongs to the field of water environment safety assessment. By taking a DPSIR model as a theoretical basis, water environment safety assessment indexes are divided into five aspects of social and economic driving force, a pollution source and water resource development pressure, a water environment health present condition, a river service function and an environment supervision capability, and twenty assessment indexes including permanent population density, GDP per capita, a building land use proportion and the like are established. The water environment safety assessment process comprises the specific steps of obtaining a survey value for assessing an index of each layer of a river; determining an assessment standard value of the index; performing standardization processing of the survey value of the index; calculating an index score of a river water environment safety assessment index layer; calculating an index score of a river water environment safety assessment criterion layer; and calculating and assessing a river water environment safety index. According to the system, a scientific assessment method is established for the plain river network, and the water environment safety condition and problem of the plain river network can be quickly and effectively identified.

The invention discloses a network security situation evaluation method. The method comprises the following steps: 1) determining the importance weights of network devices and hosts; 2) separately evaluating the network devices and hosts; and 3) integrating the evaluation results of the network devices and hosts into an evaluation result of the whole network system. According to the network security situation evaluation method disclosed by the invention, with the device assets as the center, the evaluation process is divided into three stages: the first stage is to determine the importance weights of network devices and hosts; the second stage is to separately evaluate the network devices and hosts; and the third stage is to integrate the evaluation results of the network devices and hosts into the security situation of the whole network. For the evaluation of a single device asset, the evaluation factors are divided into 8 categories, which are attacker capability, attack consequences, vulnerability damages, vulnerability transmission, security measures, security configuration correctness, security strategy and security strategy implementation, and the security situation is quantified from the perspective of threat and defense.

The invention provides a power grid operation assessment method for realizing a multilayer indicator system. The method comprises the following steps that step one, a multilayer indicator hierarchical model is established; step two, an evaluation and judgment matrix is constructed layer by layer; step three, the weight of each indicator is calculated by adopting a geometrical analysis method; step four, the consistency of the evaluation indicator judgment matrix is judged; and step five, the weight result of all layers is combined, and qualitative indicators and quantitative indicators required by a scheme layer are determined. Multilayer three-dimensional assessment is performed on the power grid operation process by the method so that the assessment result is more accurate. The method adopts a scientific analytical algorithm so that comprehensive and objective analysis and assessment of the multilayer indicator system can be realized, reconstruction of power grid operation can be realized and high efficiency and safety of power grid operation can be enhanced.

The invention relates to a system and a method for evaluating comprehensive performance based on an improved radar chart. The method comprises the following steps of: by using a comprehensive performance evaluation model construction module, constructing a comprehensive performance evaluation model through a visual interface; by using a judgment matrix construction module, setting pairwise comparison importance parameters of each index in a user input evaluation model, establishing a comparison and judgment matrix, and performing consistency check; by using a weight value computing module, implementing an analytic hierarchy process, and computing a weight value, relative to a comprehensive performance total target of the system, of each index; and by using a test data processing module, collecting, analyzing and standardizing test data, sending the test data to an evaluation result generation module, computing the comprehensive performance of the system, and performing visual output. By the invention, the problem of non-uniqueness in the area and circumference of the conventional radar chart is solved, so that an evaluation result is more accurate and more objective. The invention can be applied more flexibly and more conveniently.

The invention discloses a method for evaluating the behavior safety of an automatic driving vehicle, which comprises the steps of obtaining environment perception parameters, network connection parameters, judgment decision parameters, control execution parameters and a network connection degree coefficient of the automatic driving vehicle; obtaining an evaluation score of the behavior safety of the automatic driving vehicle according to the environment perception parameters, the network connection parameters, the judgment decision parameters, the control execution parameters and the network connection degree coefficient; and obtaining an evaluation result of the behavior safety of the automatic driving vehicle according to the evaluation score of the behavior safety of the automatic driving vehicle. The method for evaluating the behavior safety of the automatic driving vehicle can comprehensively consider the behavior safety of the automatic driving vehicle from multiple angles, and enables the evaluation result to be accurate and reliable, thereby providing a feasible method for testing and evaluating the behavior safety of the automatic driving vehicle, enabling related test standards to be perfect, and promoting the development of the automatic driving vehicle industry in China.

The invention discloses a prediction and assessment method for stability of surrounding rocks of a mining roadway. The prediction and assessment method comprises the following steps: inputting measured data of influence factors of surrounding rocks of the mining roadway into a computer; then, retrieving sample data to set up a prediction model of a single kernel function support vector machine; combining selected global kernel functions with local kernel functions to form mixed kernel functions to set up a prediction model of a mixed kernel function support vector machine; utilizing a particle swarm algorithm to optimize penalty factors, kernel parameters and single kernel function coefficients of the predication model to set up a prediction model of a particle swarm algorithm-mixed kernel function support vector machine for stability of surrounding rocks of the mining roadway; and calculating prediction precision and reliability of to-be-predicted samples and assessing the maturity of the model. The prediction and assessment method for stability of surrounding rocks of the mining roadway is easily adopted and scientific. The grade prediction result of stability of surrounding rocks of the mining roadway and the maturity assessment result of the model are accurate and reliable and are highly consistent to the reality.

The invention relates to a method for evaluating the aging degree of an IGBT module, comprising the following steps: the electrothermal characteristic data of the IGBT module under different aging degrees are measured and the aging degree calibration is completed; the network structure of the limit learning machine is initialized; the optimal input weights and hidden layer thresholds are obtained, and the optimal output weights of the limit learning machine are obtained. The IGBT module aging degree evaluation model of the extreme learning machine is obtained by training the extreme learningmachine. The electrothermal characteristic data of the IGBT module to be tested are measured and input into the aging degree evaluation model of the trained IGBT module so as to obtain the aging degree evaluation results. The invention adopts the limit learning machine optimized by the hybrid improved whale optimization algorithm to optimize the input weight value and the hidden layer threshold value, solves the problem that the prediction precision of the limit learning machine excessively depends on the input weight value and the hidden layer threshold value, and effectively improves the prediction regression ability of the limit learning machine.

The invention discloses a safety and stability control device reliability analysis method in consideration of multistate operation, which belongs to the technical field of power system control. A hardware system structure of the safety and stability control device is firstly analyzed; a fault tree model for the safety and stability control device is then built based on a fault tree method, and the failure rate of the safety and stability control device is acquired; and finally, on the basis of Markov state space, a reliability evaluation model for the safety and stability control device is built, and the probability values of the safety and stability control device in four different operation states are calculated. The hardware system structure of the safety and stability control device and the importance degree of each stable control module for composing the device in the device are considered, the fault tree method and the Markov state space method are combined to carry out reliability evaluation on the safety and stability control device, the reliability degree of the device is thus judged, influences on reliability of the device by external faults are considered during the evaluation process, and the evaluation result is more objective and more accurate.

The invention provides a method and system for coverage performance evaluation of an antenna. The method comprises the following steps that: sweep frequency data of a testing sampling point related to a target evaluation antenna are obtained; the testing sampling point is mapped to an antenna evaluation coordinate system according to the sweep frequency data; a sample statistic unit of the antenna evaluation coordinate system is obtained, wherein the sample statistic unit contains one or more testing sampling points; actual measurement signal field intensity and theoretical signal field intensity of the target evaluation antenna in the sample statistic unit are obtained; according to the actual measurement signal field intensity and the theoretical signal field intensity of the target evaluation antenna in the sample statistic unit, a preset antenna coverage performance parameter of the target evaluation antenna is evaluated. According to the invention, under the circumstances that the running of the existing network is not influenced, the coverage performance of the antenna can be evaluated accurately and rapidly.

The invention discloses a method for determining cell throughput, which aims at solving the problem that the evaluation on the network performance of an HSUPA (High Speed Uplink Packet Access) system is inaccurate because the cell throughput is determined according to the static parameters and the throughput of the HSUPA system is determined according to the determined cell throughput in the prior art. The method comprises the following steps of: measuring the current RSCP (Received Signal Code Power) value of a P-CCPCH (Primary Common Control Physical Channel) of each cell in the HSUPA system; and determining the throughput of each cell, wherein, for each cell, the E-DCH (Enhanced Dedicated Channel) signal to noise ratio of the cell is determined according to the RSCP value of the P-CCPCH of the cell and adjacent cells, and the throughput of the cell is determined according to the determined signal to noise ratio and the corresponding relationship between the preset cell signal to noise ratio and the cell throughput. When the technical scheme of the invention is adopted, the accuracy of the evaluation on the network performance of the HSUPA system can be improved. The invention is more favorable for the network planning and optimization.

The invention provides a service life evaluation method for bus electrolytic capacitors of a motor driver. The method comprises the steps: testing the core temperature of each bus electrolytic capacitor of a driver and the working environment temperature by means of a temperature-sensitive technology, selecting the highest core temperature rise [Delta]T among the electrolytic capacitors, and calculating the core temperature T2 of the electrolytic capacitors when the driver is running in a condition with the upper limit environment temperature. The service life of the bus electrolytic capacitors is calculated according to the difference between the highest allowed core temperature and the T2 as well as correction coefficients of bus voltages, so the service life of the driver can be evaluated. According to the method, the influence brought by the difference between an actual temperature upper limit for a driver and a test environment temperature, the influence of bus voltage when the driver is in use and the influence of uneven temperature rises among bus electrolytic capacitors are all taken into consideration. Aspects are comprehensively considered by the method, and an evaluation result is reliable.

The invention relates to a network voltage sag frequency estimation method and device with a distributed power supply. The method comprises the following steps: calculating a node impedance matrix according to a node admittance matrix of the system; calculating the self-impedance and mutual impedance at the fault point after short circuit occurs in the system; calculating the voltage sag amplitudeof the estimated busbar under different fault types; determining the voltage sag duration of the estimated busbar; performing statistics of the sag frequency of the estimated busbar according to thevoltage sag amplitude and the voltage sag duration of the estimated busbar. According to the method and device provided by the invention, the estimation accuracy of the voltage sag with a distributedpower supply system is improved; by adopting kernel density estimation, the distribution law of the fault occurrence positions better conforms to the practical situation according to the history faultinformation, thus the estimation result of voltage sag is more accurate and conforms to the practice.

The present invention provides a lithium ion battery cycle life detection device and a lithium ion battery cycle life assessment method. The lithium ion battery cycle life detection device comprises two bottom plates and pressure sensors, the two bottom plates are arranged parallelly, and a to-be-detected lithium ion battery is located between the two bottom plates. The pressure sensors are respectively installed on the opposite side surfaces of the bottom plates and the to-be-detected lithium ion battery, and the output ends of the pressure sensors are connected with a signal processor electrically. According to the above lithium ion battery cycle life detection device, the pressure sensors are arranged on the bottom plates, when the charge and discharge cycle tests are carried out on thelithium ion battery, the lithium ion battery expands in the thickness direction, the pressure sensors can reflect the pressure change caused by the lithium ion battery thickness change to the signalprocessor timely, and by a relation schema of the cycle number of times and the capacity attenuation rate and the pressure change, the cycle life of the lithium ion battery can be assessed. The abovedetection results are more accurate, and the assessment method is simpler and is stronger in adaptability.

The invention discloses a Method and device for establishing a user experience quality assessment model for assigning the user experience quality of WLAN at an enterprise level. The method comprises the following steps: obtaining a training data set, wherein the training data set comprises user experience quality labels of performing network experience at different positions of a plurality of APswithin the WLAN coverage via different kinds of application services in different types of user equipment, wireless communication parameters when the AP communicates with the user equipment and wireless environment parameters of the AP; establishing a two-classification model of each application service according to the training data set according to each application service and an algorithm modelneeding to be adopted by each application service, wherein the wireless parameters comprise wireless communication parameters when the AP communicates with the user equipment and / or the wireless environment parameters of the AP; and obtaining the user experience quality assessment model according to the two-classification model of each application service.

The invention discloses an integrated risk assessment method for calculating the operation uncertainty of an electric transmission line. The integrated risk assessment method includes the following steps: (1) identifying and collecting characteristic factors for causing operation risks of the electric transmission line, determining risk characteristic indexes, and building an operation risk assessment index set of the electric transmission line, (2) fusing expert advice weights with a fusion theory, (3) using uncertain rational numbers to calculate reliability distribution to determine risk weights, and combining the risk weights and the fused expert advice weights in the step (2) to calculate integrated risk weights of the risk assessment index set, and (4) calculating a final integrated risk value in cooperation with section judgment matrixes, processing results, and judging risk levels. By means of the integrated risk assessment method, a subjective and objective analytical method is used in a combined mode, powerful supports are provided for finding potential operation risks as soon as possible, reducing the possible risks of line operation and reducing risk operation losses, and the integrated risk assessment method is the premise and the guarantee of scientifically and reasonably managing the risks and making decisions.

The invention discloses a combined weighting method in the evaluation of educational informatization level based on the sum of squared deviations, specifically: setting evaluation indicators and evaluation grades for the objects to be evaluated; The scoring value of the index; according to the evaluation results of the importance of each evaluation index by each expert, calculate the weight of each evaluation index to form the subjective weight vector of the index; determine the objective weight vector of the index according to the scoring value of each index; according to the deviation square According to the sum principle, the index combination weight vector is determined; according to the combination weight vector and the index score value, the specific education informatization score value is obtained by using the linear weighting method. The present invention also provides a system for realizing the above method. The invention fully and systematically considers the subjective factors and objective factors, makes the evaluation result more accurate, and realizes the effective evaluation of the educational informatization level.

The invention discloses an evaluation method of 10kV three-core cable conductor temperature, wherein the conductor temperature is calculated based on the measured cable skin temperature, and the influence of the complicated change of the external environment temperature and environment thermal resistance on the 10kV three-core cable under different laying conditions and different operation environment conditions is avoided, thus the evaluation result is more accurate, and the application range is wider. Moreover, the evaluation method also performs equivalent and simplification treatment in calculation: neglecting the thermal resistance of a conductor shielding layer, considering the conductor and the conductor shielding layer as one layer, and deeming that the temperature of the conductor shielding layer is equal to the temperature on the outer surface of the conductor; considering the insulation shielding in an insulating layer and deeming that the thermal resistance coefficients of the two are equal; and neglecting the loss and thermal resistance of the 10kV three-core cable metal shielding layer. Thus, the method simplifies the operation while guaranteeing the calculation accuracy.

The invention provides a risk assessment method and device, and a storage medium. The method comprises the steps of receiving an identification code of a mobile device from a terminal device; acquiring installation and use information of the application program corresponding to the identification code and generating category information of the application program; and generating a risk assessmentlevel corresponding to the identification code based on the installation and use information of the application program and the category information, and sending the risk assessment level to the terminal device. According to the method disclosed by the invention, category division and portrait drawing are carried out on the application programs of the users who carry out credit application based on the information, and multi-dimensional portrait drawing is carried out based on the financial consumption habits of the users who carry out credit application, so that the accurate evaluation resultof the credit and fraud risks of the users who carry out credit application can be obtained.

The invention discloses a trust management method based on backward inference. The trust management method based on the backward inference comprise a trust evaluation module and a trust punishment module, wherein an operation process of the trust evaluation module comprises the following steps: generating satisfaction degree evaluation among nodes through transaction among the nodes, and adopting a multiple evaluation mechanism to calculate a direct trust value of the evaluated node; utilizing a cosine similarity formula to obtain a similar node set, and calculating an indirect trust value of the evaluated node; combining the direct trust value and the indirect trust value to calculate a comprehensive trust value of the evaluated node; comparing the comprehensive trust value with a trust threshold value, and marking the evaluated node; and generating a node sequence with a mark. The operation process of the trust punishment module comprises the following steps: inquiring the comprehensive trust value for the mark node by other nodes; according to different node marks, looking for and punishing a malicious node; punishing the malicious node to lower the reputation value of the malicious node; calculating the final reputation values of all nodes; and generating a node sequence subjected to devaluation sorting according to the reputation values. The punishment mechanism is introduced in, so that an evaluation result is more accurate.

The invention discloses a mixed sampling and minimum shedding load calculation-based reliability calculation method and platform. The calculation method mainly comprises three processes of extracting data, performing analysis and calculation on the data and outputting a power generation and transmission system reliability evaluation. The calculation platform comprises a data extraction module, a data analysis and calculation module and a power generation and transmission system reliability evaluation output module. According to the method and the platform, firstly the related data is extracted; secondly a component state of a power generation and transmission system is sampled, a minimum shedding load is solved, and each reliability index of the power system is analyzed and calculated; and finally the reliability of the power generation and transmission system is evaluated by analyzing and calculating each index, and a reliability evaluation result of the power generation and transmission system is output. The invention proposes a mixed sampling and minimum shedding load calculation-based reliability evaluation technology for the power generation and transmission system on the basis of being in close connection with engineering practice; and compared with the prior art, the mixed sampling and minimum shedding load calculation-based reliability evaluation technology can be used for remarkably improving the reliability evaluation efficiency of the power generation and transmission system on the basis of being in close connection with the engineering practice.

Embodiments of the invention disclose a VoLTE voice quality assessment method and system. The method includes the following steps of: collecting voice and signaling data at each interface after lightsplitting and gathering; analyzing the voice and the signaling data, and performing an average subjective opinion MOS value evaluation on the analyzed media stream to obtain voice quality assessment data; adding user information and location information to the voice quality assessment data according to control plane data to generate a voice quality assessment file; and storing the voice quality assessment file to a database server. Through the addition of the user information and the location information in the voice quality assessment data to generate the voice quality assessment file, inquiry is convenient, the VoLTE voice quality assessment method is suitable for all VoLTE periods, and especially for scenes that VoLTE dials VoLTE users and the VoLTE dials traditional 2 / 3G users, and assessment results are reliable and accurate by performing a MOS value assessment.

The invention relates to the technical field of electric system risk evaluation, in particular to an electric transmission line comprehensive risk evaluation method based on TOPSIS and optimal combination weight. The electric transmission line comprehensive risk evaluation method based on the TOPSIS and optimal combination weight overcomes the defects in the prior art, and the electric transmission line comprehensive risk evaluation method is perfected.

The invention discloses a Parkinson patient walking ability evaluation method based on gait time-space parameters and three-dimensional force characteristics. The Parkinson patient walking ability evaluation method based on the gait time-space parameters and the three-dimensional force characteristics comprises the steps of acquirement of foot sole pressure data and three-dimensional force data, data processing and feature parameter extraction, and walking ability evaluation, wherein the acquirement of the foot sole pressure data and the three-dimensional force data refers to utilizing a gait channel formed by a flexible array pressure sensor and a three-dimensional force testing platform to acquire gait data of a Parkinson patient in a normal walking process; the data processing and the feature parameter extraction refer to conducting analysis on the foot sole pressure data and the three-dimensional force data and extracting the gait time-space parameters and three-dimensional force characteristic parameters; the walking ability evaluation refers to conducting classification on the gait time-space parameters and the three-dimensional force characteristic parameters through utilizing fuzzy algorithm, and the walking ability evaluation of the Parkinson patient is achieved. By means of the Parkinson patient walking ability evaluation method based on the gait time-space parameters and the three-dimensional force characteristics, the defect exists in a current clinical Parkinson patient walking ability evaluation method is overcome, the testing process is simple, and the operative difficulty index is low; multimodal information fusion is utilized, and the gait information is relatively comprehensive.

The invention discloses a safety assessment system for a bridge structure based on a vehicle load. The system comprises a monitoring center server and field monitoring equipment; the field monitoringequipment transmits monitored weight information, license plate information and video information of a vehicle passing a bridge and parameter response data of all key points of the bridge structure tothe monitoring center server, the monitoring center server determines the traveling track, traveling speed and weight of the vehicle when the vehicle passes the bridge by comprehensively analyzing and processing the data transmitted by field monitoring equipment, generates prewarning information according to a magnitude relationship between the parameter response data of all the key points of thebridge structure and preset threshold values of the data when the vehicle passes the bridge, and generates a score report of the state of the bridge structure by combining an evaluation strategy. Inthis way, through the safety assessment system for the bridge structure based on the vehicle load, an obtained evaluation result is more accurate and more accords with the actual situation, and bridgesafety operation can be guaranteed better by making the obtained evaluation result as a decision-making basis of a bridge maintenance strategy.

The invention discloses a Markov chain Monte Carlo method-based photovoltaic power station reliability evaluation method. The method is used for a concentrated photovoltaic power station composed of n power generating units; each power generating unit includes a photovoltaic array, a direct current combiner box, a photovoltaic inverter and a transformer; and the power generating units are finally connected into an alternating current power grid. The method includes the following steps of: establishment of the Markov chain models of each component; state sampling; operation process simulation; and judgment algorithm convergence. The method of the invention has high stability, and has high correctness and superiority in reliability evaluation of large-scale photovoltaic power stations.

The invention discloses a multidimensional staged battery performance valuation method based on a charging process. The method comprises the steps of acquiring basic information of a power battery system for a vehicle, recording in a database, evaluating the battery performance, etc. The battery performance evaluation method is advantageous in that through analyzing the inherent characteristic andthe later use condition of the battery, and combining real-time data and historical data, the method is compatible with different data sources and data types; and quick, accurate, multidimensional and staged evaluation to the battery performance is realized.