924results about How to "Improve evaluation efficiency" patented technology

The invention discloses a fingerprint identification device and a fingerprint identification method with prompt information. The method comprises the steps of sampling a fingerprint grayscale image in a dot interlace mode, and representing a local texture direction of the dot interlace at each pixel point in the original fingerprint grayscale image by using a point direction map; dividing the point direction map into blocks, and dividing each block into a foreground block or a background block; calculating a ratio of the active area of the foreground map to the area of the whole image, performing image quality analysis if the active area meets the requirements, calculating a ratio of the advantage direction area to the fingerprint foreground area if each point in the foreground image block has direction advantages; performing finger arrangement position analysis if the image is preliminarily determined to be qualified; and if the finger arrangement position is inaccurate, performing finger position deviation analysis, and if the image is unqualified, performing fingerprint dryness / humidity analysis. When the fingerprint is not clear or the operation is improper, the Chinese character prompt information is adopted, the finger arrangement position deviation and finger dryness / humidity conditions can be accurately judged, and the success rate of fingerprint identification is improved.

The invention provides a large-scale network security situation evaluation method based on an index system. The method comprises the following steps: step one, determining dimensions that are needed to be analyzed for a network security situation; step two, determining network security factors according all the dimensions; step three, determining concrete indexes according to all the network security factors, wherein the dimensions, the security factors, and the concrete indexes are all-level nodes of a hierarchical evaluation model; and the step four, carrying out security situation evaluation on the hierarchical evaluation model to obtain a network security value. According to the method provided in the invention, efficiency of large-scale network security situation evaluation can be improved.

The invention discloses a system for evaluating the performance of a chip through the collaboration of multiple processors. The system comprises an open short circuit detection module, a USB communication processing module, a PMU control module, a signal scanning module, a voltage control module, a frequency measurement module, a test index evaluating module and an expansion measurement module. The performance indexes and the parameters of multiple chips are controlled to be tested and evaluated on the research and design stage, PC controlled software is taken as a man-machine interface, multiple types of index tests are integrated on one system through synchronous testing to test and evaluate the chip, and the testing efficiency is greatly improved.

The invention discloses a multi-module automatic trading system based on network distributed computing. The system comprises a historical and real-time market data processing module, a real-time market probability distribution prediction module, a trading strategy design and development module, a trading strategy history backtracking and evaluating module, a trading strategy market access and transaction management module, a system monitoring and risk control module, and a transaction report and quantitative analysis module. The automatic trading system can face various types of quantitative traders, a quantitative modeling program is simplified, a quantitative trading threshold is reduced, the quantitative strategy test and evaluation efficiency is improved, and the transaction security is guaranteed. The automatic trading system can automatically and intelligently analyze market and trading trends, provide real-time price probability distribution prediction for market main transaction products, provide a transaction signal with low delay and a high success rate for a transaction strategy and thus generate a timely and accurate trading signal, an efficient tool and comprehensive and accurate data are provided to construct the strategy of a user, and back testing and optimization are carried out.

The invention relates to a single even effect cross section obtaining method based on simulation. The single even effect cross section obtaining method comprises the following steps of: setting an actual material structure, geometric structure and doping parameters of a device, and realizing a complete device model; carrying out semiconductor characteristic numerical calculation, solving a diffusion drifting equation, a poisson equation and a current carrier continuity equation, and obtaining an electricity characteristic curve of the device; and calibrating key electrical parameters of a single even effect device model so that the device electricity is in line with theoretical expectation, wherein the key electricity parameters include a transistor transfer characteristic curve and a storage delay characteristic curve. The single even effect cross section obtaining method based on simulation, provided by the invention, has the advantages that the position of the single even effect error can be located, the relationship among the wiring and size of the device, the technological parameter of the device and the sensibility of the single event effect can be realized, and the confirmation of the single even effect performance can be realized in the design stage.

The invention discloses a method for controlling construction quality of an asphalt pavement in real time, which comprises the following steps of: 1, drawing a universal volumetric chart to evaluate volumetric parameter characteristics of various asphalt mixtures, and selecting a proportion of an asphalt mixture, which is suitable for the local environment and is difficult to segregate; 2, checking that whether volumetric parameter information of the asphalt mixture produced in the day meets requirements of design and construction specifications so as to quickly regulate the production process; 3, evaluating the aggregation condition of the asphalt pavement by using the universal volumetric chart; and 4, analyzing and judging the compaction degree condition and temperature condition of the asphalt pavement, judging the compaction qualified rate, judging the significance of the density data difference of the asphalt pavement, checking the construction quality of the asphalt pavement and providing quantitative basis for later period payment adjustment. The method has the advantages of reasonable design, high reliability, high operability, high real-time property, high efficiency of evaluating the construction quality of the asphalt pavement, and high practicability, and contributes to improving construction quality and saving economic cost.

The invention discloses a method and a device for evaluating a risk claim settlement, relates to the technical field of data processing and mainly solves the problem that the economic loss is broughtto an insurance company when existing loss-evaluating personnel checks a claim settlement case and easily misses high-risk cases through manual check. A main technical scheme of the method comprises the steps of acquiring claim settlement information and historical insurance policy information of an insured in the claim settlement case; analyzing to-be-evaluated logic parameters in the claim settlement information and the historical insurance policy information, wherein the logic parameters are used for reflecting the situation that the insured participates in medical programs in the claim settlement case; and matching the logic parameters and preset evaluation logics, counting an evaluation result of the claim settlement case corresponding to the logic parameters, wherein the preset evaluation logics are used for reflecting a relation between different logic parameters and different evaluation scores. The method and the device are mainly used for evaluating the risk claim settlement.

The invention provides a detection method of lithium ion battery performance. Under different temperatures, charge and discharge processing is carried out on a lithium ion battery with different charge and discharge rates, lithium detection is carried out on the battery after 3-20 times of circulation, the service lifetime of the battery and the charge safety under different temperatures are estimated and predicted according to whether lithium precipitates out on the surface of a cathode in the battery, and the lithium precipitation degree is used to judge the impedance in the battery, so that the risk is rapidly estimated, the time of battery comprehensive performance estimation is shortened, the estimation efficiency is improved, and the cost of battery performance estimation is lowered, the identification and prevention capability of the battery safety risk is improved, and the testing number is only 10-20 pcs.

The invention belongs to the field of steel coil rolling, and relates to a steel coil shape defect detection and recognition method based on target detection. A large number of steel coil shape pictures are obtained from the site to construct a coil shape defect data set, and the task of detecting and identifying the coil shape defects of the steel coil is completed in the traditional steel production industry by utilizing the currently advanced Faster-RCNN target detection algorithm with high identification precision and high detection speed, and meanwhile, the Faster-RCNN is subjected to model compression by pruning, so that the model can meet the industrial embedded requirements. According to the method, a modern intelligent detection technology is utilized, and the method is applied toindustrial production detection of the steel coil.

The invention provides a crude oil mass fracture maturity evaluation method. The method comprises the following steps: weighing a quantitative crude oil sample and mixing the weighed crude oil sample with methylene dichloride, adding a mixed master standard taking the methylene dichloride as a solvent after standing by for 10-24h, detecting the relative contents of full-mass fractures in the sample such as light dydrocarbon series, adamantane, normal alkane / isoalkane, terpenoid biomarkers, polycyclic aromatic hydrocarbon and homolog, thiophene and aromatic steroid hydrocarbons, indistinguishable compounds UCM and the like by virtue of full-two-dimensional gas chromatography-flame ionization detector (FID), and establishing a comprehensive evaluation method for crude oil mass fracture maturity on the basis of the principle that the relative contents of different types of molecular components in crude oil reflect different maturity evolution stages. The method, by virtue of the full-two-dimensional gas chromatography, can achieve simultaneous quantitative analysis on crude oil full-mass fracture content, and the method can be used for evaluating the crude oil maturity by virtue of crude oil mass fracture, so as to guarantee the accuracy and the contrasting property of the crude oil maturity evaluation.

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

Disclosed in the invention is a running state evaluation method of an urban distribution network. According to the method, with combination of actual investigation and expertise, single indexes capable of reflecting a running state of a distribution network comprehensively are selected by following the principles of objectivity, high accuracy, mutual independence, and high operability in a perspective of system engineering; superior indexes which the single indexes belong to are defined based on an analytic hierarchy process method, and an overall and complete index system is established and so on; a scoring formula of the single indexes is determined based on combination with the correlated industrial standard and the expertise by using a fuzzy membership function, and weight factors of all indexes are determined by using a pairwise comparison matrix method; and with running data collected by other systems of the distribution network automatically, scores of all indexes are calculated and then a running state evaluation score of the whole distribution network is provided.

The invention provides a large power grid overall situation on-line integrated quantitative evaluation method based on a response. The method comprises a first step of acquiring power grid topology structural information from an SCADA system and an EMS system and establishing a corresponding relation between the power grid topology structural information and a WAMS system power grid component, a second step of acquiring present power grid operation method trend data from the SCADA system or the EMS system or a WAMS system or acquiring various preconceived trends or transient state fault time domain data from a DSA system, and a third step of dividing responding data into two operation scenes including a steady state (or a quasi-stable state) and a transient state (or a dynamic state) in a macroscopic mode, wherein static state stabilization situation assessment is carried out on a power grid through an on-line node-facing method, and transient state stabilization situation assessment is carried out on the power grid through an on-line unit-facing method. Static state and transient state comprehensive assessment indicators are constructed based on component class thermostabilization, electric parameter acceptable range and system class stabilization, the comprehensiveness and reasonability of the overall situation assessment indicators are improved, and the efficiency of overall situation integrated assessment is improved through the method that tasks are carried out at the same time.

The invention relates to a flooded-layer well-logging quantitative evaluation method which comprises the following steps: 1), carrying out non-sealed coring on a stratum section a certain depth below an oil field, and carrying out a rock physical experiment so as to obtain related experiment parameters; 2), on the basis of a capillary pipe pressure curve, effective porosity and effective permeability obtained in the step 1), establishing a J function; 3), calculating the relationship between initial oil saturation and the J function; 4), measuring the whole stratum section of the oil field through a well logging instrument, so as to obtain related experiment parameters; 5), calculating on the basis of the effective permeability and the effective porosity so as to obtain the relationship between the J function in the whole stratum section and the initial oil saturation; 6), calculating on the basis of the rock resistivity and the effective porosity so as to obtain the oil saturation of the whole stratum section during well logging; and 7), according to the distribution range of the difference value of saturation, determining whether the oil layer is flooded or not and the flooding grade. The flooded-layer well-logging quantitative evaluation method is high in accuracy, high in popularity and good in economy and can be widely applied to quantitative evaluation of various types of flooded layers.

Disclosed is a system of automatically evaluating vehicle devices using a vehicle simulator. The system includes a vehicle simulator that is configured to replicate an actual vehicle in combination with vehicle devices mounted therein. The system also includes a system base configured to generate and output an input signal to be input into a controller in order to operate the vehicle devices that are targeted for evaluation according to contents set in a test case data entered by an evaluator. Additionally, the system base also measures and analyzes an output signal from the controller in response to the input signal. Further a signal connecting unit is configured to connect the vehicle simulator with the system base via a signal.

The invention relates to a risk assessment method, comprising the following steps: receiving the risk evaluation request sent from a terminal; searching a social network graph; monitoring risk factors; based on the risk factors, determining the first-level activated nodes in the social network graph; according to the social network graph, calculating the accumulated weights of the first-level activated nodes to their neighboring connected nodes and determining whether the accumulated weights exceed the preset activation threshold for the neighboring connected nodes so as to determine the second-level activated nodes; according to the first-level activated nodes and the second-level activated nodes, determining the next-level activated nodes until the accumulated weights of the connected nodes are transmitted to an evaluation body to obtain the accumulated weights of the evaluation body, to further obtain the risk evaluation result of the evaluation body and to transmit the risk evaluation result to the terminal. The above method achieves higher evaluation efficiency and can analyze the risk transmission process dynamically.

The invention is applicable to the technical field of information, and provides a credit risk evaluation method and a credit risk evaluation system. The method includes by a cloud computing ERP (enterprise resource planning) system, acquiring multi-dimensional data of enterprises, and analyzing the multi-dimensional data to acquire analysis results; determining the types of the enterprises according to the analysis results, and adjusting risk evaluation model weights of the different types of enterprises to calculate credit scores of the enterprises; according to the credit scores of the enterprises, judging whether credit applications proposed by the enterprises are approved or not; if yes, performing real-time monitoring by the cloud computing ERP system after credit offering. By the credit risk evaluation method, accuracy and efficiency of credit risk evaluation can be improved, so that the credit risk evaluation method has high practicability.

The invention relates to a sandstone-type uranium mine target region optimal selection method based on element geochemical anomaly. The method successively comprises the following steps: 1) element geochemical data is acquired or collected; 2) a single element geochemical anomaly map is established; 3) the mineral occurrence projection transformation process is performed; 4) the indicator element screening process is performed; 5) uranium element and auxiliary indicator element geochemical anomaly maps are established and the projection transformation process is performed; 6) and the level of an uranium metallogenic prospect target region is judged. The method of the invention is suitable for a plurality of sandstone-type metallogenic belts and forecast regions on a national scale, and advantages of wide coverage, high effectiveness, good applicability and good accuracy can be realized. According to the invention, the indicator elements are clear, the advantage of good operability can be realized, the method process is evaluated normatively, the evaluation efficiency is improved, and the objectivity of the study result can be ensured.

The invention relates to a wind farm load long-term evaluation method comprising the following steps: selecting a typical wind turbine unit; testing the load of the typical wind turbine unit, and calculating the equivalent load; acquiring SCADA data synchronized with measured data of the typical wind turbine unit, and classifying the data according to the operation status of the typical wind turbine unit; based on the theory and method of an artificial neural network, building a model based on the SCADA data and the load test result; and applying the load model of the typical wind turbine unit to other wind turbine units in a wind farm, and calculating the load of a wind turbine unit to be evaluated based on the SCADA data. The method is very suitable for monitoring the load of a running wind farm (especially an offshore wind farm) for a long time. The fatigue accumulation of all the wind turbine units in a wind farm can be evaluated. The cost and time needed for unit-by-unit test are reduced greatly while the accuracy of load evaluation is ensured.

The invention provides an athletic gene detection and evaluation method based on a qPCR typing technology. The detection method comprises the steps that fluorescent PCR detection is conducted on athletic gene polymorphic sites of detected persons, different contribution degrees are given to the different polymorphic sites, individualized evaluation results are obtained according to statistic analysis on gene detection results and the different contribution degrees, and the evaluation results are summarized to establish an athlete talent gene database. According to the method, the athletic ability and related risks of the detected persons can be comprehensively evaluated, an evaluation foundation is precise, the evaluation efficiency is high, and the evaluation results are stable and accurate; during the athlete recruiting period, the method can assist in an existing talent selecting means for athlete selection; during the training period, individualized training guiding and managing can be conducted on athletes; the defect of finding a single solution for all problems in a traditional method is overcome, and more advantages in athlete selecting and training and the individual body building effect are achieved.

The invention discloses a power battery recession situation analysis method and system based on big data. The method comprises the following steps of acquiring a charging voltage of a sample power storage battery in a charging state and corresponding charging capacity; computing a corresponding capacity increment value according to the charging voltage and the charging capacity corresponding to the charging voltage; drawing an original capacity increment curve according to the charging voltage and the capacity increment value; carrying out smooth processing and curve fitting on the original capacity increment curve in order to obtain a capacity increment curve; obtaining a capacity increment peak-valley value according to a high peak value and a valley value of the capacity increment curve; computing a corresponding health state value of the power storage battery according to the charging capacity; drawing a change curve of the capacity increment peak-valley value along with a batteryhealth state according to the capacity increment peak-valley value and the corresponding health state value; and estimating a real-time health state value of a to-be-detected power storage battery according to the change curve. Through the adoption of the method or the system, real-time online evaluation of the service life of the power storage battery can be achieved.

The invention relates to an experimental device for the drilling lubricity of a horizontal well considering a cuttings bed, which comprises a simulated wellbore, wherein one end of the simulated wellbore is provided with a pulley, the other end is fixed with a hydraulic cylinder and equipped with a drill pipe, the drill rod is connected with a driving mechanism and a rotating mechanism, and the drill rod is provided with a thrust and torque sensor; there is a cuttings feeding port above the simulated wellbore, the cuttings feeding port is connected to a slurry tank through a fluid inlet pipeline, the fluid inlet pipeline is provided with a high pressure pump, a flowmeter and a pressure sensor; the lower end of the simulated wellbore is connected with a fluid return pipeline, the fluid return pipeline is provided with a temperature and pressure reducing mechanism, a flowmeter and a conveying pump; and the simulated wellbore is provided with an ultrasonic probe and is connected with a core holder, the holder is provided with a heating mechanism, a core and a pressure mechanism, and the inner side of the lower wall is provided with a cuttings lifting platform. In the experiment, cuttings and a drilling fluid are added, the pressure, the temperature and the cuttings thickness are adjusted, and composite drilling is simulated. The experimental device not only considers the frictionbetween a drill column and the drilling fluid, the well wall and a mud cake, but also considers the friction between the drill column and the cuttings bed, thereby being more in accordance with the actual working condition.

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.

The present invention relates to a method for identifying human health status based on BP neural network, comprising the following steps: S1, processing the actual measured values ​​of physiological, psychological and behavioral indicators of people who do not suffer from major diseases to obtain the normalization of each indicator value; S2, BP neural network structure initialization; S3, BP neural network recognition training; S4, measure and test the human body to be recognized, and obtain the actual measured value of the selected human body index; S5, use the trained BP neural network to carry out Health status identification. The present invention effectively fuses multiple physiological, psychological, and behavioral index values ​​that reflect the health status of the human body, and provides the health status identification results through the BP neural network model, which not only makes the identification results of the health status of the human body simpler and more intuitive, but also The evaluation results can enable non-professionals to clearly and clearly understand their own health status, and have important guiding significance for the adjustment of human-related life activities and even the prevention and treatment of diseases.

The invention provides an equivalent simplification method for an electric power system with wind power access. The equivalent simplification method comprises the following steps of establishing an equivalent simplification model of an actual electric power system, wherein the actual electric power system comprises a generator and a load model, a steam turbine and a speed controller model, a water turbine and a speed controller model, and a wind turbine generator model; and the equivalent simplification model of the actual electric power system consists of the equivalent simplification models of the generator and the load model, the steam turbine and the speed controller model, the water turbine and the speed controller model, and the wind turbine generator model; performing parameter polymerization on the equivalent simplification model of the actual electric power system according to a polymerization formula; calculating the frequency regulation capability of the equivalent simplification model of the actual electric power system according to a formula; and calculating steady-state frequency deviation and frequency initial drop rate of the equivalent simplification model of the actual electric power system. The established equivalent simplification model of the actual electric power system can replace the actual electric power system, so that the complex actual electric power system can be simplified, and an effect of researching the complex system through the simple models can be realized.

Embodiments of the invention provide a video file assessment method, device and system. The method includes: playing a video file and acquiring attribute information of the video file; acquiring user historical operational behaviors for the video file, and acquiring user historical behavioral data on the basis of the acquired user historical operational behaviors; calculating historical user viscosity parameter of the video file according to the user historical behavioral data and the attribute information of the video file, and determining results of video file assessment according to the historical viscosity parameter. The video file assessment method, device and system has the advantages that on the basis of objective behaviors of users watching video files, popularity of the video files is automatically reflected through mass data, video watchers need not actively make objective assessment results, and efficiency of assessing the video files is improved.

The invention relates to a human health evaluation method based on a physiological health index, comprising the following steps: S1, measuring the human body to be evaluated, and obtaining actual measured values ​​of selected human body indexes; S2, normalizing the actual measured values ​​of each index processing to obtain the normalized value of each index; S3, assigning weights to each index; S4, determining the age and gender weight functions; S5, obtaining the LW index through linear weighting, and then obtaining the TOPSIS index by adjusting the TOPSIS model, and finally obtaining the index weighted Human body's physiological health LW&TOPSIS index. The present invention effectively fuses a plurality of physiological parameter index values ​​reflecting the health status of the human body, and gives the health evaluation result by the way of the human health index, which not only makes the evaluation result of the health status of the human body simpler and more intuitive, but also gives the evaluation result The results can enable non-professionals to clearly and clearly understand their own health status, and have important guiding significance for the adjustment of human body-related life activities and even the prevention and treatment of diseases.

The invention discloses a writing attitude evaluation method and a writing attitude evaluation system based on handwriting. The method comprises the following steps: pre-training a scoring model used for attitude evaluation; acquiring a handwriting image; extracting the handwriting characteristics of the handwriting image; and getting a writing attitude evaluation result according to the handwriting characteristics and the scoring model. Through the method and the system, the efficiency of evaluation is improved, and the objectivity and rationality of the evaluation result are ensured.

The embodiment of the invention discloses an effect evaluation method and device of a prediction module, equipment and a storage medium. The method comprises the steps: taking perception data and vehicle motion state data of a vehicle in the road actual driving process under a target scene as input of a prediction module, and obtaining obstacle simulation data predicted by the prediction module; And determining a simulation test evaluation result of the prediction module in the target scene according to the obstacle actual data and the obstacle simulation data of the vehicle in the road actualdriving process in the target scene. According to the technical scheme provided by the embodiment of the invention, offline simulation testing is carried out on the prediction module according to data in the actual driving process of different scenes, and the evaluation efficiency of the prediction module is improved.