922results about How to "Improve evaluation efficiency" patented technology

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 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 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 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 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 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 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.