219results about How to "Objective assessment" patented technology

The invention discloses WLAN (Wireless Local Area Network) quality monitoring system and method and application, wherein the method comprises the following steps of: issuing a WLAN quality testing task to a monitoring terminal by using an operation maintenance center through a mobile communication network; monitoring the WLAN quality of a local WLAN access point by using the monitoring terminal according to the WLAN quality testing task, and then reporting a monitoring result to the operation maintenance center by using an WLAN; and carrying out statistic and trend analysis to the received WLAN quality monitoring result by using the operation maintenance center to evaluate the network quality of the local WLAN access point of the monitoring terminal. The system overcomes the subjective defect existing in an artificial route measuring method and greatly saves the monitoring cost.

The invention belongs to the technical field of building material and structure monitoring, and provides a concrete surface crack real-time monitoring system and a cracking risk dynamic assessment method. According to the cracking risk dynamic assessment method, images of the surfaces of concrete material test pieces are obtained by using CCD lens or digital cameras; processing analysis on acquired and stored digital images is performed via adopting of digital image matching method; digital image processing technique is used for identifying characteristic parameters such as position, area, length, and width of concrete cracks, and weighting classification is performed; quantified concrete cracking risk grading evaluate standards are obtained; and dynamic assessment on concrete cracking risk is realized via comparison with acquired concrete crack characteristic parameters. Existing concrete crack monitoring technique is high in cost and low in accuracy, and misjudgement on crack boundaries is caused when digital image method is used for concrete crack extraction. The concrete surface crack real-time monitoring system is capable of avoiding the disadvantages above, identifying the boundaries of the concrete surface cracks accurately, and evaluating concrete structure safety objectively and flexibly.

The invention discloses a data security control method and system based on data classification and grading. The method includes the following steps of finding, wherein data sets in the management range are vectorized; classifying, wherein found and vectorized documents are classified according to a classifying model; important service data identifying, wherein whether the documents are important service data or not is judged according to an important service data identifying model for the classification results; grading, wherein for identified important service data, the security level of the documents is defined according to a grading model; labeling, wherein document important characteristics in the important service data obtained after grading are recorded, identification ID and the document important characteristics are recorded in a document header, and detailed content of the labeled data is stored in a third-party database; the important service data formed by the important service data perception step are analyzed and controlled. By means of the scheme, the data security control system is constructed from the visual angle of combining security management and data management, the system is evaluated subjectively and accurately, the security control result is quantized in an index assessment mode to guide control improvement.

The invention discloses a performance appraisal method based on weight adjustment, which comprises the following steps of: firstly building a staff index appraisal system; setting different weights according to different assessment indexes and different grading roles; and finally appraising the performance of staff in a form of a centesimal system, wherein the staff index appraisal system is built for grading the staff in a mode of appraising the staff by leaders, by themselves or by other staff in a department. In the determination of the weights for performance appraisal, the judgement of scores is the effective quantization of an assessment standard, the quantized scores are adopted for each assessment project, the different weights are set according to different ranks, and performance appraisal scores of the staff are obtained according to the weights. The performance appraisal method based on the weight adjustment is objective in appraisal process and correct and fair in result.

The present invention relates to the field of mode recognition, and particularly relates to a method and apparatus for assessing standard fulfillment of character writing. The method comprises: collecting and recording the stroke trace generated in writing characters; extracting trace dynamic characteristics of the stroke trace; matching the extracted trace dynamic characteristics with a preset character model corresponding to the written character, searching for an optical match path, and obtaining a similarity score corresponding to the optical match path, wherein the character model is used to simulate the character writing dynamic trace in at least one common writing sequence; and judging whether the similarity score is greater than a first threshold, if true, determining that the written character fulfills the standard. The method provided in embodiments of the present invention effectively solves the problem that the standard fulfillment is low due to an inconsistent writing stroke sequence in the prior art, and improves rationality, subjectivity, and accuracy of writing standard fulfillment.

The invention relates to an equipment health state assessment and prediction method based on industrial big data. The method comprises the following steps of S1, extracting sample data capable of representing the whole degradation process of equipment from an equipment state monitoring system; S2, performing effective preprocessing on the sample data; S3, constructing a distributed support vectordata description model based on the Spark platform, and extracting a normal sample set; S4, measuring the deviation degree of the current sample through the Euclidean distance, further converting thedeviation degree into a health degree value, and drawing a health degree curve; S5, constructing an equipment health degree single-step prediction model based on the Spark platform; and S6, further expanding the single-step prediction method of the equipment into multi-step prediction. Compared with the prior art, the invention relates to the equipment health assessment and prediction method, objectively and accurately assesses the health state of the monitored equipment, predicts the future degradation trend of the equipment, and provides a theoretical basis for the fault management and maintenance work of the subsequent equipment.

The invention provides a television viewing rate assessment method based on an internet protocol television (IPTV). The television viewing rate assessment method based on the IPTV comprises the steps of performing meta index calculation, namely calculating acquired original television viewing data according to a preset index algorithm to obtain a plurality of television viewing meta indexes; performing dimensionless processing to the television viewing meta indexes to generate a plurality of normalized television viewing meta indexes; establishing a television viewing space, namely selecting the plurality of corresponding normalized television viewing meta indexes to establish a multidimensional television viewing space, wherein each normalized television viewing meta index represents one dimension of the television viewing space, and different television viewing behaviors are represented by television viewing spaces with different dimensions; and performing television viewing index calculation, namely calculating the television viewing indexes of the television viewing behaviors according to the television viewing space. Correspondingly, the invention further provides a television viewing rate assessment system based on the IPTV. Therefore, the television viewing behaviors of users can be objectively and comprehensively.

The invention discloses a grid investment benefit evaluation method based on multiple indexes and multiple levels. The grid investment benefit evaluation method is technically characterized by comprising the following steps of: constructing a grid investment benefit evaluation system comprising a main grid frame, a distribution network sub unit, a dividing specialty and a component voltage level investment benefit index; carrying out simplified processing on the index in the grid investment benefit evaluation system; carrying out unitization processing on the index in the grid investment benefit evaluation system; carrying out index weight calculation on the index in the grid investment benefit evaluation system; and evaluating the investment benefit of each examination object by using a linear comprehensive marking method. According to the method, the grid investment benefit evaluation system is constructed from four levels such as the main grid frame, the distribution network sub unit, the dividing specialty and the component voltage level investment benefit index; the accuracy of the investment evaluation is improved; the comparing and the finding of the problems existing in the grid investment are facilitated; and the grid investment benefit evaluation method can not only be used for post evaluation of the grid investment benefit or used for providing an important decision reference for the grid construction investment direction for the coming year.

The invention discloses a device and a method for testing automotive active safety systems on a bench. The device comprises a camera bellow, a to-be-tested system, a display, an upper computer and a lower computer. Scene animation required by tests is generated by the upper computer and is displayed via the display; the scene animation is acquired by the to-be-tested system; movement of a to-be-tested automobile is simulated by the lower computer in real time, the lower computer is communicated with the to-be-tested system via a CAN (controller area network) bus, automobile state and driver operation information is transmitted to the to-be-tested system, and bus data transmitted by the to-be-tested system are received; the lower computer is communicated with the upper computer via a network cable, and running data of the automobile are transmitted to the upper computer, so that the scene animation can be updated in real time; the upper computer is further used as a test managing and monitoring platform. The device and the method have the advantages that active safety tests are carried out on the automobile on the bench, so that field tests or field data acquisition can be omitted, test workload can be reduced, test risks and the test cost can be decreased, and the test repeatability can be improved; large test working condition databases can be omitted, and accordingly the test working condition data can be conveniently managed.

The invention relates to a teaching and training management and assessment improvement system comprising a basic information setting module, an assessment base setting module, a registration management module, a participant management module, an assessment management module, a course management module, a course matching module, a teaching effect evaluation module, an after-sale management module and a statistic window module. The basic information setting module is used for setting the system basic information. The assessment base setting module is used for setting assessment base parameters. The registration management is used for managing relative registration information for participants. The participant management module is used for recording relative base and state information of the participants. The assessment management module is used for managing assessment conditions of the participants. The course management module is used for managing courses for the participants, such as course scheduling and adjusting and leave requests. The course matching module is used for generating teaching suggesting plans and course plans for the participants. The teaching effect evaluation module is used for evaluating the teaching effects of the teachers. The after-sale management module is used for performing participant retest following, participant communicating and feedback recording managements. The statistic window module is used for displaying data of the system in the graph way. The teaching and training management and assessment improvement system is multifunctional and high in automatic degree and allows scientificity, reasonability and professionality of the teaching and training to be improved.

The invention discloses a graded diagnosis and treatment evaluating method based on data mining. The method comprises the steps: extracting essential information and diagnosis and treatment information on patients from medical records, associating the essential information and the diagnosis and treatment information with disease category information and medical institution information, and firstly, carrying out data cleaning and missing value filling so as to divide the patients into patients of different flow directions; then, calculating graded diagnosis and treatment monitoring indexes by using the data; portraying visiting behaviors and features of different patients by a GainRatioAttributeEva feature selection algorithm and a RIPPER sorting algorithm. According to the method, through evaluating graded diagnosis and treatment by qualitative indexes and quantified indexes, the defects in the current graded diagnosis and treatment evaluating methods that only the quantified indexes exist, the indexes are required to be reported layer upon layer, mis-reporting and confused reporting occur during reporting, and the tracking of reasons behind the indexes is absent are overcome; by using a data mining technology, graded diagnosis and treatment evaluation is more timely and accurate.

The invention provides an interconnected power grid cascading fault risk assessment and alarming method considering communication vulnerability degrees. Unified empirical extreme values are constructed separately for the sending delay, propagation delay, queue delay and link utilization rate of communication links; normalization processing, zero suppression processing and equal weight addition areperformed, so that the vulnerability degrees of the communication links of the same standards under different time cross sections are obtained; and the vulnerability degrees of communication nodes are constructed through using the node degree-based performance vulnerability degrees, service routing matrix-based topological vulnerability degrees, and business criticality degrees of the communication nodes. With the communication vulnerability degrees are considered, the outage probability model of branches at all levels of an interconnected power grid is established; load loss quantities, voltage fluctuation degrees, average communication link utilization rates and communication unobservable rates are defined as the consequence indicators of cascading fault paths; and the cascading fault paths are sorted and assessed, and a variety of alarms are given out. According to the interconnected power grid cascading fault risk assessment and alarming method considering communication vulnerability degrees of the invention, power risk assessment and communication vulnerability are combined together, so that the fault analysis and control of an interconnected power grid wide-area measurementand control system can be more comprehensive and reasonable.

The invention discloses a power transformer state evaluation method based on multi-source data fusion. The method comprises the following steps: constructing a power transformer state evaluation indexsystem; on the basis of a fuzzy comprehensive evaluation method, calculating a membership function matrix P(X) of each index group by adopting a membership function combining a semi-trapezoid and a semi-ridge shape; determining optimal original weight distribution of each index based on the sum of squares of deviations according to the subjective and objective weights of each index to obtain a fuzzy comprehensive evaluation result; taking the fuzzy comprehensive evaluation result as a sub-evidence and substituting into the D-S evidence model for fusion, wherein the evaluation index system comprises the in-oil dissolved gas test index group, the insulating oil test index group and the electrical test index group. According to the design, the transformer state can be accurately and objectively evaluated, and the operability is high.

The application provides a data assessment system and method. The system comprises a data acquisition unit used for acquiring to-be-assessed data, a quality determination unit used for determining a quality assessment result of the to-be-assessed data according to an index value of the to-be-assessed data in a preset data quality index, and a value assessment unit used for determining an assessment result of the to-be-assessed data according to the index value of the to-be-assessed data in the preset data value index aiming at the condition that the quality assessment result is in accordance with a preset quality assessment requirement. According to the system and method, during data assessment, the quality of business data can be determined objectively and accurately, human participationis avoided in a determination process of the quality of the business data, the possibility of human leakage of the business data is reduced, and the security of the business data in an assessment process is improved.

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 relates to a performance assessment method, which aims to provide a performance assessment method based on an online learning entire process. The performance assessment method divides the online learning entire process into four parts, i.e. online learning, after-class discussion, classwork and self examination. During the entire learning process, a learner's learning performance is obtained via comprehensively assessing the four parts. According to the invention, under the condition that the weight of each part of the online learning entire process is unknown, the weight of the each part is obtained via training data generated during the operation of a system, and further, by utilizing the weighted value of the four parts, the entire process learning performance of the learner in the system can be assessed; and in addition, manual weight setting is avoided, index weight can be obtained only via training the date generated during the operation of the system, and finally the weight obtained via training is used for assessing the learner's entire learning performance, as a result, the learner's learning performance can be really and objectively reflected.

The invention discloses a software defined network security situation assessment method. The advantages of SDN (software defined network) control and direct and quick information collection are combined, an open SDN security situation assessment framework is provided on account of three kinds of attacks of an SDN forwarding surface, the security framework closely fits a framework of an SDN controller, an anomaly detection module extracts characteristic indexes according to the SDN and various attack characteristics, an SVM (support vector machine) classification algorithm is selected for identification, and attack pre-judgment is given. A security situation assessment module performs quantitative assessment on network security situations according to information collected by the anomaly detection module, and attack sensitivity and noise resistance of an assessment system are regulated through setting of a threshold value. Different weights are allocated to different attacks based on an AHP (analytic hierarchy process) so as to fit out a comprehensive security situation of the network. The method is flexible and simple, attach behaviors can be detected accurately, the quantitative assessment of the security situations of the network is given, and monitoring and assessment of the security status of the SDN forwarding surface are realized with lower cost.

The invention discloses a quick classification and identification method for Ganpu tea (orange pu-erh tea). The method comprises the following steps of measuring characteristic volatile organic compounds in different standard samples by using a gas-phase ion migration analysis method, to acquire response strength data of flavor compounds of different types of standard samples; clustering the response strength data of the standard samples by using a statistical analysis method, and building a classification and identification model; measuring the characteristic volatile organic compound in an unknown sample by using the gas-phase ion migration analysis method having the same parameter with the previous step, thus acquiring a sample fingerprint spectrum, and putting the sample fingerprint spectrum into the classification and identification model acquired in the previous step for analysis, so as to judge the category and authenticity of the sample. According to the method provided by theinvention, the flavor quality is quantified and standardized, and the classification and identification model is built, so that the Ganpu tea can be quickly, objectively and accurately assessed, the standardization of the quality of the Ganpu tea can be effectively ensured, the product quality and market competitiveness can be improved, and the blank that sensory analysis cannot be accurate and standard is filled.

The invention discloses an evaluation method for efficiency of a satellite data receiving system. The evaluation method comprises the following steps: building a satellite data receiving efficiency evaluation index system; calculating primary indexes of the satellite data receiving system; calculating secondary indexes of the satellite data receiving system; calculating tertiary indexes of the satellite data receiving system; calculating integral indexes of the satellite data receiving system; demonstrating efficiency evaluation result. According to the invention, the efficiency evaluation indexes system covering comprehensively and systematically is provided directed towards the problems that conventional efficiency evaluation methods for satellite data receiving systems are difficult to conduct systematic, meticulous and comprehensive evaluation; the indexes system comprises four stages of indexes, and covers multiple aspects of satellite receiving responsibility planning algorithm evaluation, receiving capability analysis, and the like; the method has the characteristics that the method is clear in structure, and easy to disintegrate and combine, and realizes multi-scale efficiency evaluation of the satellite data receiving system.

A method for controlling program evaluation system includes storing program to be evaluated in evaluation server, setting evaluation standard by evaluation management terminal, carrying out evaluation on each program by judges through evaluation terminal according to set evaluation standard, transmitting evaluation result back to evaluation server and carrying out statistics and analysis by evaluation server. The program evaluation system for said method is also disclosed.

The invention discloses a network equipment health degree assessment method determined based on an objective weight. The method comprises the following steps: S1, partitioning equipment according to layers, wherein a network manager partitions the equipment according to the layers by importing of static network topology information, and the location of corresponding equipment with a larger layer number in a network is more important; S2, setting an initial priority for each piece of equipment according to the equipment layer numbers; S3, acquiring running data information of data center network equipment, and writing the acquired information into a database according to acquisition time; S4, processing acquired parameter data; and S5, calculating network equipment health degrees: analyzing single network equipment respectively according to network equipment set information and a network equipment data acquisition time sequence to obtain processed parameter data, and acquiring health values of the network equipment at a time point by a health degree calculation formula. The network equipment health degree assessment method has the advantages of simple principle, easiness and convenience in operation, realization of objective and accurate assessment, and the like.

The invention discloses a radar aircraft system adversarial simulation confidence evaluation method. The method comprises the following steps of automatically encoding index vectors of subsystems of two complex and diverse adversarial parties into low-dimensional feature vectors with fixed dimensions by using a self-encoding model, simplifying index input of a flight target, and inputting the index vectors into a confidence prediction model in a stable form; and based on an attention mechanism of a deep network, guiding training of a confidence evaluation model, using a small amount of radar-aircraft system confrontation actual measurement data as a verification reference, and predicting the confidence of a simulation confrontation system according to the similarity degree of a simulationsystem and an actual measurement system. Therefore, the correlation and influence coefficients generated by the indexes of the input subsystems in the confrontation process are indirectly learned, a weighting matrix does not need to be set manually, and the objectivity of simulation confidence evaluation is improved.