24results about How to "Accurate performance assessment" patented technology

The invention discloses a data analysis method, system and device based on distributed communication and a medium, and relates to the technical field of data processing, and the method comprises the steps: monitoring a node state in real time based on a distributed communication network, obtaining a node resource state data set, building a node performance evaluation model through a machine learning algorithm, and obtaining a node performance evaluation result; computing resources of the data analysis tasks are dynamically allocated to optimize resource allocation, a task allocation strategy is designed according to requirements and node performance of the data analysis tasks, and a distributed data processing framework is established; the method comprises the following steps: performing distributed decomposition and executing a calculation data analysis task, aggregating and collecting distributed calculation results, and dynamically adjusting and optimizing resource task allocation to obtain a final data analysis result, so that a node state can be monitored in real time, and a resource allocation scheme can be intelligently adjusted; according to the advantages of dynamically optimizing task allocation according to the communication condition and the computing power of the node, the problems of insufficient dynamic resource management and poor task scheduling flexibility in the prior art are solved.

The invention relates to the field of glass testing, and discloses a glass plate cold bending test device, which comprises a mounting platform, a cold bending test device, a cold bending test device, a cold bending test device, a cold bending test device and a cold bending test device, and is characterized in that the mounting platform comprises a loading position and at least two diagonally arranged clamping positions; the testing mechanism is arranged at the loading position, a bearing piece of the testing mechanism is used for supporting the plate corner of the to-be-tested glass plate in the descending process of the bearing piece, and a loading assembly is used for applying pressure to the plate corner of the to-be-tested glass plate when the bearing piece is in a non-pressure state; the clamping mechanism is arranged at the clamping position and used for clamping the plate corner of the glass plate to be detected. The problem that the influence of dead weight on glass cold roll forming is ignored in a glass plate test is solved. And by reducing the height of the bearing piece, the deflection of the plate corner is increased under the action of gravity until the bearing piece cannot detect the pressure of the plate corner. The plate corner is subjected to a pressurization test through the loading assembly to complete a plate corner bending test, so that the performance evaluation of the cold-bent glass is more accurate, and the use risk after the cold-bent glass is formed is reduced.

The invention relates to the technical field of industrial working condition recognition, and discloses a blast furnace working condition recognition method and system fusing a process variable and a video image, and the method comprises the steps: carrying out the interpolation processing of the process variable, carrying out the averaging of a video image frame, and aligning the multi-source heterogeneous information to the same time step; thus, multi-source heterogeneous information with inconsistent sampling frequencies is aligned, a deep neural network model jointly driven by process variables and video images is constructed, representative working condition features in the multi-source heterogeneous information are extracted, the problem that working condition information is not completely utilized when only a single information source is used is solved, and the method is suitable for the multi-source heterogeneous information. A double-layer residual error connection module and a model stability evaluation index are designed, and accurate recognition of the working condition of the blast furnace is achieved.

The invention relates to the technical field of computers, and discloses a performance parameter tuning sequence determination method and device, equipment and a medium, and the method comprises the steps: carrying out the sampling of the performance parameters of a deep learning model, and obtaining a plurality of sampling point data; generating a configuration file based on the sampling point data; after the operation in the test environment is finished each time, obtaining a test result; generating a first-order sensitive index and a total sensitive index corresponding to each performance parameter based on a performance index generated by the performance parameters; and determining a tuning sequence of the performance parameters based on the first-order sensitive index corresponding to each performance parameter and the total sensitive index. Through sensitivity analysis of a scientific system, key parameters having significant influence on the reasoning performance of the deep learning model are accurately identified and determined. And the tuning sequence of the performance parameters is determined, so that the tuning process is more efficient. Parameter adjustment is carried out according to the tuning sequence, blind trying of different parameter combinations can be avoided, and tuning time and computing resources are saved.

The invention discloses a multi-section cohesion unit analysis method considering a composite material resin enrichment area and a fiber bridging influence mechanism, and belongs to the technical field of cohesion unit analysis methods.The multi-section cohesion unit analysis method comprises the steps that a multi-direction laying layer angle DCB sample is designed and prepared, and a DCB experiment is carried out; s2, calculating data obtained in the experiment in S1 to obtain I-type interlayer fracture toughness-crack length data of the DCB samples with different interlayer laying angles, and drawing an R curve; establishing a numerical analysis model of the DCB sample; analyzing the parameters of the four CZM units according to a J integral method in combination with data in an experiment to obtain cohesion model parameters of each unit; and a sectional cohesion model is adopted to simulate the layering damage behavior of the composite material laminated plate. By adopting the multi-section cohesion unit analysis method considering the resin enrichment area and the fiber bridging influence mechanism of the composite material, a more accurate I-type layering initial strain energy release rate can be obtained, and the performance evaluation of the composite material can be more accurate.

The invention discloses a quality evaluation system for preparing a superconducting material and a preparation process thereof, which are used in the field of quality evaluation, and the quality evaluation system comprises a data collection module, a data analysis module, a multi-dimensional quality evaluation model construction module, a monitoring and adjusting module and a quality evaluation module. According to the method, various physical fields and various influence factors can be comprehensively considered, the performance of the superconducting material in a future environment is predicted by comprehensively considering the various influence factors and simulating different environmental conditions, optimization and adjustment are carried out according to an actual application result, different environmental conditions are simulated by utilizing simulation software, and the performance of the superconducting material in a future environment is predicted. The performance of the material under various conditions can be evaluated under the condition that the physical environment is not actually changed, the cost and time are saved, and the influence degree of different environmental factors on the performance of the superconducting material and the interaction among the different factors are analyzed through statistical methods such as variance analysis.

The invention relates to a method for realizing flatness measurement processing of a broadband signal receiver based on quadrature modulation and demodulation. The method comprises the following steps: generating and transmitting a single-carrier quadrature modulation signal; intercepting a section of digital baseband signal; demodulating the orthogonal modulation signal, and extracting a constellation point data sequence; performing reference point judgment; performing fast Fourier transform on the constellation point data sequence and the reference point sequence; obtaining frequency domain error data in a plural form; gaussian smoothing filtering is applied. According to the method, the system, the device, the processor and the computer readable storage medium for realizing flatness measurement processing of the broadband signal receiver based on quadrature modulation and demodulation, synchronous evaluation of amplitude and phase flatness of the broadband signal receiver is realized through one-time measurement, and the method, the system, the device and the processor have the characteristics of high efficiency and high speed; according to the method, the time required for flatness measurement is shortened, the measurement efficiency is improved, the method has the advantages of being comprehensive and accurate, the amplitude and flatness information of the broadband signal receiver can be obtained at the same time, and more comprehensive performance evaluation is provided.

The invention discloses an ion exchange membrane integrity detection mechanism, and relates to the technical field of ion exchange membrane detection.The ion exchange membrane integrity detection mechanism comprises a rack, a lower die is fixedly installed at the top of the inner wall of the rack, an ion exchange membrane is arranged at the top of the lower die, and a test pump is fixedly installed at the bottom of the rack; through the arrangement of the cleaning device, a sliding long rod is pulled backwards, the sliding long rod drives a transverse frame to move towards the front face of the rack, the transverse frame drives a cleaning plate to move towards the front face of the rack, and the cleaning plate scrapes impurities on the surface of an ion exchange membrane towards the front face of the rack; the surface of the ion exchange membrane can be prevented from being scratched due to the flexible arrangement of the cleaning plate, impurities on the surface of the ion exchange membrane can be effectively removed through the arrangement of the cleaning plate, meanwhile, the surface of the membrane is prevented from being scratched, and the surface integrity and cleanliness of the membrane in the detection process are ensured.

The embodiment of the invention provides a scalar field simulation and real-time data processing method and device, and the method comprises the steps: carrying out the test time matching of scalar field data according to the field actual measurement real-time data and simulation result data, and carrying out the point-to-point comparison of the obtained test scalar field data and the scalar data in the simulation result data, determining a corresponding scalar distribution comparison result; selecting a position corresponding to the test point as a selection position of a simulation model node corresponding to the physical three-dimensional model, performing average scalar processing on the similar region in the simulation model, and taking the simulation model subjected to the average scalar processing as a space point matched with the test point to obtain a corresponding scalar comparison result; according to a scalar distribution comparison result and a scalar comparison result, correcting simulation parameters of the physical three-dimensional model in the test virtual scene; according to the method, the simulation data and the real-time data can be effectively combined, so that more accurate product performance evaluation and optimization are realized.

The invention provides a test method and device for a power battery, electronic equipment and a storage medium, and the test method comprises the steps: obtaining the current power of other related electric appliances except a target power part on a vehicle in real time after a test triggering condition is satisfied; according to the principle that the working power of the power battery is not changed, the current required power of the target power component is determined based on the current electricity utilization power of all the related electric appliances and the specified test power of the power battery; and controlling the target power part to work according to the current required power, and obtaining performance evaluation parameters of the power battery in real time. Therefore, by dynamically adjusting the power of the target power part, the test power of the power battery in the test process is fixed, so that accurate quantitative data of the power battery can be obtained, and the performance of the power battery can be accurately determined.

The invention provides a method and device for monitoring thyristor-level components in a converter valve, electronic equipment and a storage medium, and relates to the technical field of converter valve online monitoring. The method comprises the following steps: collecting voltages at two ends of each thyristor level; determining the voltage peak value of the voltage at the two ends of each thyristor level in a set period; calculating the ratio of the voltage peak value of the voltage at the two ends of each thyristor level to the average value of the voltage peak values of the voltage at the two ends of N thyristor levels in the converter valve; and according to the calculated voltage peak value ratio of each thyristor level, determining the use performance of the thyristor level component in the thyristor level. Voltage at the two ends of each thyristor level in the converter valve is collected in real time, a voltage peak value is calculated regularly and compared with the average value of the voltage peak values at the two ends of all the thyristor levels in the converter valve, and the use performance of thyristor level components is determined.

The invention discloses a mononuclear hit rate extraction method for simulating a permutation instruction, which belongs to the technical field of real-time embedded system application, and is characterized by comprising the following steps: S1, modeling a processor cache to obtain a cache model; s2, performing stream analysis on a to-be-analyzed program to determine an instruction stream, classifying each instruction according to the type, and predicting the position of each instruction in the cache model; and S3, determining a core memory access frequency for LRU replacement simulation, and simulating interference when other cores access the shared cache through a preset frequency insertion null instruction to obtain a single-core hit rate simulation result. By simulating cache interference in a processor and simulating LRU replacement, the instruction hit rate of the shared cache level is accurately analyzed, and therefore accurate and reliable performance evaluation can be provided for a real-time system.

The invention discloses a three-dimensional space data correction method and system for virtual reality, and relates to the technical field of virtual reality, and the method comprises the steps: obtaining basic three-dimensional space information and camera lens information, matching a real image feature point with a corresponding preset image feature point, and obtaining normal positioning identification information and abnormal positioning identification information. According to the method, the basic space anchor points are divided, the virtual scene construction efficiency is improved, the position of the real image in the three-dimensional space is predicted, the accuracy of image superposition is conveniently evaluated, the actual position of the real image in the three-dimensional space is compared with the predicted position, and the real scene construction efficiency is improved. According to the method, whether the real image meets the virtual scene requirement or not is judged, and the abnormal image feature points are adjusted, so that the positioning deviation is reduced, the trust degree and immersion of the user to the virtual environment are improved, and richer and more real experience is provided for the user.

A plane compression creep assembly based on a creep machine providing linear tension, comprising a tensile conduction compression mold, an upper plane compression mold and a lower plane compression mold; the tensile conduction compression mold comprises a first pressing block and a second pressing block, and when the spacing between the first pressing block and the second pressing block becomes smaller, it is used to provide a creep compression loading operation for the sample; the second pressing block is provided with a first threaded hole, the axis of the first threaded hole is the same as the tensile direction of the creep machine, and the first pressing block is provided with a first through hole coaxial with the first threaded hole; the upper plane compression mold comprises an upper cylindrical rod, an external threaded end, and an upper circular plate, and the external threaded end is matched and arranged on the first threaded hole; the lower plane compression mold comprises a lower cylindrical rod, a cylindrical base, a column pin, and a lower circular plate, and the column pin is matched and arranged on the first through hole. The present invention can accurately measure the plane compression creep characteristics of three-dimensional materials such as porous materials.

The invention relates to a multi-directional testing device for tensile properties of textile fabrics applied to the technical field of testing devices. The device comprises a clamp symmetrically arranged up and down, and the clamp realizes multi-directional stretching through an electromagnetic driving mechanism; the clamp adopts a novel winding roller-spike structure and a segmented adjusting wheel-locking frame structure to realize rapid clamping and disassembly of a sample; the electromagnetic driving mechanism adopts a permanent magnet-electromagnetic coil structure, cooperates with a weight sheet to provide precise tension, and cooperates with a distance sensor and an adjusting rod to realize constant tension control; a laser projection ruler provides precise deformation measurement; a controller realizes automatic control of the entire test process, can apply tension to textile fabrics in multiple directions, and has comprehensive evaluation; the clamping is quick and the test is efficient; the tension adjustment is precise; the deformation measurement is precise, and the performance evaluation is accurate; the operation is intelligent and flexible; the device is suitable for various types of textile fabrics, has strong versatility, and can improve the efficiency, precision and reliability of tensile property testing of textile fabrics.

The invention discloses a fan rotating speed control method and system, and relates to the technical field of fan control, and the fan rotating speed control method comprises the steps that the rated rotating speed, the rated current, the rated voltage, the real-time rotating speed, the real-time current and the real-time voltage of a fan are obtained, and a fan operation deviation coefficient is calculated; the fan output deviation coefficient is calculated according to the real-time output wind speed, the real-time output wind direction and the real-time output wind pressure of the fan, the fan adjustment deviation coefficient is calculated according to the real-time temperature, the real-time air pressure and the real-time humidity of the fan adjustment area, and then the fan control deviation index is calculated according to the fan output deviation coefficient and the fan adjustment deviation coefficient; and obtaining fan operation deviation coefficients and fan control deviation indexes of all the fans, calculating a rank correlation coefficient, and importing the fan operation deviation coefficients, the fan control deviation indexes and the rank correlation coefficient of all the fans into a machine learning model to build a control adjustment model, so that the control adjustment model determines an adjustment value of the operation deviation coefficients. And remote monitoring and intelligent adjustment of the fan can be realized.

This application relates to the field of large language model technology, and discloses a method, apparatus, device, and storage medium for model performance optimization. The method includes: acquiring an initial dataset and expanding the problem using a large language model to obtain a target dataset; converting the problem into an actual database query statement using the large language model; performing data queries based on the actual database query statement and a reference database query statement to obtain actual query results and reference query results; evaluating the performance of the large language model based on the reference database query statement, the actual database query statement, the reference query results, and the actual query results to obtain a model performance score; and optimizing the large language model based on the model performance score and the target dataset to obtain an optimized large language model. This application improves the accuracy of SQL statement conversion by increasing the data richness of the dataset, thereby enabling accurate performance evaluation of the large language model.

This invention discloses a method and system for evaluating the performance of damping and thermal insulation materials for battery packs, relating to the field of battery pack thermal management technology. The method includes: extracting a calibration sample set; applying transient thermal excitation and acquiring infrared thermographic sequences to extract thermal response features; performing industrial CT scans to obtain defect quantification indicators, which, together with the thermal response features, form a calibration dataset; establishing a quantitative correlation model based on the calibration dataset and determining batch quality thresholds according to the model output distribution; performing the same excitation and acquisition on online test samples to extract their features, inputting them into the model to obtain defect quantification prediction values, comparing them with the batch quality thresholds, and outputting the evaluation results; and supplementing the model and thresholds by extracting new samples and obtaining new calibration data when a preset period or trigger condition is met. This invention provides accurate material performance evaluation by establishing a quantitative model of thermal response features and defect quantification indicators, and enhances the consistency and stability of the evaluation through a dynamic update mechanism.

The present invention provides a device and method for evaluating the efficiency of wireless transmission of electromagnetic signals of a sensor built-in in concrete. The device at least comprises: a transparent cylinder, a steel mesh, a wireless sensor, a signal transceiver and processing module, a signal activation and charging module and a processing terminal; the transparent cylinder is used to carry liquid whose conductivity is the same as or different from that of concrete within a set range, the steel mesh is bound together to form a steel cage, and is arranged in a single layer or double layer around the wireless sensor; the wireless sensor is communicatively connected with the signal transceiver and processing module, the signal transceiver and processing module is communicatively connected with the control terminal, and the wireless sensor is communicatively connected with the signal activation and charging module; the present invention can realize wireless reception and transmission of data of the sensor built-in in concrete, self-power supply of the sensor and efficiency evaluation of the data, and realizes true wireless passive monitoring.

The invention relates to the technical field of power distribution networks, and discloses a power distribution network control system evaluation system, which comprises a data acquisition module used for acquiring power consumption data of a target area according to a fixed time interval in a first preset time period; the data clustering module is used for clustering the power utilization data of the target area in a first preset time period to obtain a plurality of characteristic power utilization time periods; the shielding module is used for carrying out at least one power distribution station shielding experiment on each characteristic power utilization time period to obtain evaluation data of each characteristic power utilization time period; the data processing module is used for performing multi-dimensional analysis on the evaluation data to obtain an evaluation result of the power distribution network control system in each dimension; and the comprehensive scoring module is used for obtaining a comprehensive score of the power distribution network control system according to the evaluation result of the power distribution network control system in each dimension.

The invention discloses a fuzzy evaluation method based on image gradient analysis in a gun-dome camera safety supervision scene, which comprises the following steps of: 1, performing preprocessing operation on an image shot by gun-dome camera safety supervision, and converting an RGB (Red, Green and Blue) image into a grey-scale map; step 2, traversing all pixel points in the grey-scale map by a window, and respectively calculating a grey-scale difference value between a maximum value and a minimum value of each window area; 3, counting gray difference values of window areas in the image, and respectively defining abrupt points, noisy points and edge points; and 4, calculating a grey-scale map judgment noise point ratio and a scenery edge ratio, and comprehensively evaluating the image quality according to the two indexes. According to the method, the quality of the image input by the safety supervision intelligent identification system is judged through the image fuzziness, the image fuzziness is judged, high-quality images with low fuzziness can be screened out, and the accuracy and reliability of safety supervision intelligent identification are improved.

The present invention provides an integral cast axe rock drilling test system, the system comprising a test setting module, an operation control module, a data acquisition module, a wear analysis module and a performance evaluation module; the test setting module is used to set the test parameters of the integral cast axe rock drilling process according to the test environment; the operation control module is used to perform the operation control of the integral cast axe rock drilling test process according to the test parameters; the data acquisition module is used to obtain the laser scanning data of the integral cast axe after the rock drilling test is completed; the wear analysis module is used to establish a three-dimensional wear model of the integral cast axe after the rock drilling test according to the laser scanning data; the performance evaluation module is used to analyze the three-dimensional wear model and output the evaluation result of the integral cast axe used in the test environment; the present invention simplifies the test process and improves the accuracy of performance evaluation of the rock drilling device in the actual application environment by combining laser scanning and three-dimensional modeling technology.

The present invention proposes a port infrastructure performance monitoring sensor system, which relates to the technical field of intelligent monitoring systems. Aiming at the technical problems of low data collection efficiency, incomplete coverage of the monitoring system, and lack of scientific basis for sensor selection in the existing port infrastructure performance monitoring sensor system, the present invention integrates the sensor measurement module, data processing module, calibration module, transmission module and data analysis module into a unified monitoring system, selects chloride ion sensors, strain sensors, vibration sensors and wave height sensors according to the data requirements of the port infrastructure to be monitored, and the system can more comprehensively monitor the performance of the port infrastructure, and designs a scientific evaluation value calculation method to provide a more comprehensive performance evaluation, thereby improving the accuracy of prediction and diagnosis.