29results about How to "Implement Performance Evaluation" patented technology

The invention discloses a semiconductor probe card electrical parameter extraction method and system based on an MEMS technology, and relates to the technical field of semiconductor testing, the method comprises the following components: initialization setting: aligning an MEMS probe card to a target test area on a wafer to be tested, firmly fixing the probe card and the wafer together by using a mechanical clamping device, and setting the MEMS probe card and the wafer to be tested; by integrating the decision tree model and the genetic algorithm, accurate mapping and optimization of semiconductor wafer surface features and optimal probe contact parameters are achieved, the intelligent level of testing is improved, the test time is shortened, the test efficiency is improved, and the test cost is reduced. The self-adaptability and stability of the testing process are remarkably enhanced, real-time adjustment of probe contact parameters is ensured through a dynamic monitoring and closed-loop control mechanism, the testing error is effectively reduced, the testing precision is improved, the optimal contact parameter combination is found through an optimization algorithm, the testing period is further shortened, and the testing efficiency is improved.

The invention discloses an RC-IGBT fault detection and diagnosis method, and belongs to the technical field of IGBT fault detection. Pulse signals with different frequencies (low frequency, intermediate frequency and high frequency) are applied to an RC-IGBT tube, a voltage signal between a collector electrode and an emitter electrode is analyzed, a distortion value sequence is constructed, and the RC-IGBT fault detection and diagnosis method is realized. And the RC-IGBT fault diagnosis value is obtained by combining the distortion time deterioration coefficient and the distortion frequency deterioration coefficient under the low frequency, the intermediate frequency and the high frequency, so that the RC-IGBT fault diagnosis precision is improved.

The invention discloses an intelligent noise reduction and heat dissipation system for a PCS converter, and relates to the technical field of converter operation control, and the system comprises the steps: collecting the operation data of the PCS converter, monitoring the temperature data in real time, and carrying out the heat dissipation control optimization based on the real-time temperature data; sound data during operation of the PCS converter are obtained, operation noise is analyzed, and noise reduction control is carried out through an intelligent audio driver; integrating heat dissipation control and noise reduction control, using an artificial intelligence algorithm to optimize operation parameters of the PCS converter, and evaluating an operation parameter effect; and applying and displaying the optimized operation parameters passing the evaluation, and synchronously generating an adjustment record and storing the adjustment record in a database. According to the method, dynamic optimization of heat dissipation of the PCS converter is realized, the problem of local overheating is effectively solved, accurate control of full-band noise is realized, and intelligent adjustment and effect evaluation of operating parameters of the converter are realized at the same time.

The invention relates to an impact resistance evaluation target system for face protection equipment, and the system comprises a face target assembly which is used for providing a protection assembly capable of resisting multi-party impact of the face for the system, and capturing mechanical data in the impact process according to the protection assembly; the target fixing platform has a multi-axis adjusting function and is used for freely adjusting the face target assembly in the horizontal direction, the vertical direction and the rotation angle direction; and the data acquisition and processing module is arranged on the target fixing platform, is connected with the face target assembly, and is used for receiving and analyzing a signal sent by the face target assembly so as to evaluate the impact resistance of the face protection equipment. By adopting the system disclosed by the invention, the overall design follows the domestic facial protection equipment test standard, the accuracy and comparability of the test are ensured by optimizing the material proportion, the sensor layout and the fixed platform adjusting mechanism, and a scientific and reliable solution is provided for the performance evaluation of the facial protection equipment.

The invention provides an evaluation method, system, equipment and medium for improving transient voltage stability of a receiving-end power grid by a synchronous generator, and belongs to the technical field of transient voltage stabilization of a power system, and the method comprises the steps: S1, carrying out the multi-port Thevenin equivalence of a receiving-end AC system from a DC conversion bus side and a new energy grid-connected bus side; s2, calculating a multi-infeed transient short circuit ratio of a direct current conversion bus and a multi-infeed transient short circuit ratio of a new energy grid-connected bus based on a receiving end alternating current system after multi-port Thevenin equivalence; s3, weights of different faults, the weight of the direct current conversion bus and the weight of the new energy grid-connected bus are determined based on the response of the receiving end alternating current system to the fault set, and the comprehensive short-circuit ratio of the direct current conversion bus and the comprehensive short-circuit ratio of the new energy grid-connected bus are obtained through calculation; s4, constructing an index system based on the comprehensive short-circuit ratio of the direct-current conversion bus, the comprehensive short-circuit ratio of the new energy grid-connected bus and the network loss of the receiving-end alternating-current system; and S5, based on the index system, combined with the subjective and objective combination weight and the TOPSIS improved by the foreground theory, carrying out comprehensive evaluation on the transient voltage level of the synchronous generator supporting receiving end alternating current system. According to the invention, the transient stability margin of the voltage of the direct-current conversion bus and the new energy grid-connected bus is improved, and the operation risks of direct-current locking and new energy unit off-network after power grid fault disturbance are reduced.

The invention relates to an electromagnetic valve testing device, and the device comprises a test bench which is provided with a testing pedestal, and a to-be-tested electromagnetic valve is communicated with the testing pedestal; the high-low temperature box is arranged on the side surface of the test bench, and the high-low temperature box is used for testing the electromagnetic valve to be tested in different temperature environments; the hydraulic oil pump station is far away from the high and low temperature box and is arranged at the test bench, and the electromagnetic valve supplies oil for pressurization test through the hydraulic oil pump station; and the fluid conveying pipeline is arranged on the test bed, the test base is connected in the fluid conveying pipeline, and branch pipelines of the fluid conveying pipeline are respectively connected with the high and low temperature box and the hydraulic oil pump station. The electromagnetic valve to be tested can be arranged in the high-low temperature box and tested in different temperature environments, and the performance of the electromagnetic valve under the extreme temperature condition can be comprehensively evaluated.

The present invention discloses a servo-controlled variable stiffness tunnel lining static-dynamic loading test system, which belongs to the technical field of tunnel engineering test equipment, and includes a servo-controlled variable stiffness test system, which includes a variable stiffness test loading system, a monitoring system, a vibration platform, a hydraulic pump station and a control system. The servo-controlled variable stiffness tunnel lining static-dynamic loading test system can simulate the test of various stiffness ranges of different circumferential and axial positions of the tunnel under compression according to the test requirements by adjusting the variable stiffness loading system, and can also simulate the dynamic response characteristics of the tunnel under compression through the vibration system, and can more accurately meet the indoor test requirements of the tunnel under compression and earthquake conditions. Secondly, during loading, the static-dynamic load test of the tunnel lining containing a cavity behind can also be simulated by adjusting whether the pressure head assembly is pressurized, so as to meet the mechanical property test of the diseased tunnel.

This invention discloses a fully passive jammer and a fully passive jamming method for channel knowledge map scenarios. The jammer includes: a data acquisition module for generating a multi-state channel dataset by traversing and controlling the configuration of a reconfigurable smart metasurface and performing channel simulation; a map construction module for constructing a channel path map based on channel state information; a beamforming parameter determination module for determining fixed hybrid precoding parameters based on the channel path map in an interference-free reference scenario; and a performance evaluation module for reusing the fixed precoding parameters and calculating the communication rate based on the real channel state in a dynamic scenario with disco-type reconfigurable smart metasurface interference, thereby quantifying performance loss. This invention transforms dynamic interference into an analyzable channel sequence through multiple simulation sampling, separates beam selection from rate evaluation, objectively quantifies mismatch penalties, and provides a standardized evaluation platform for countermeasure research on disco-type reconfigurable smart metasurfaces.

The invention discloses a teenager digital media literacy intervention system and method based on big data, relates to the technical field of learning intervention, and aims to recommend corresponding learning resources to students, collect learning state data to generate a reminding value, and send out learning reminding to the outside when the reminding value is lower than expectation. Generating reminding intensity according to the state data of the received learning reminding, performing data analysis on the score feedback data when the reminding intensity is higher than expectation, generating target completion degree according to learning feedback values before and after the learning process of the student is intervened, and if the target completion degree does not exceed a preset completion degree threshold value, determining that the learning process of the student does not exceed the preset completion degree threshold value. And obtaining an influence factor influencing the completion degree of the target through principal component analysis, optimizing a learning resource pushing strategy, and executing an instant excitation feedback measure or outputting an optimization suggestion for intervention path optimization. And personalized learning resources are customized for the students, so that the students can obtain more matched learning resources on the current learning path.

The present invention relates to an equipment comprehensive management and evaluation system, characterized in that it includes: a management module, a competitive product index acquisition module and an evaluation module, wherein the evaluation module compares and evaluates the equipment in stock with the external equipment based on the performance characteristics of the equipment in stock recorded by the management module and the performance characteristics of the external equipment acquired by the competitive product index acquisition module. The equipment comprehensive management and evaluation system of the present application realizes the collection and organization of the performance characteristics of the equipment in stock, and at the same time, by collecting the characteristics of the external equipment, the existing recognition pattern or text method is used to realize the information acquisition between the intranet and the external network, so as to realize the performance evaluation and comparison of the international similar equipment on the intranet, and provide convenience for our equipment research and development and equipment export in the future.

This invention discloses a battery system performance evaluation method based on boundary construction. The method includes: A. Performing single-cell testing on a target model battery cell to construct cycle decay curves for the target model battery cell at different temperatures; B. Obtaining the factory parameters of the target model battery cell; C. Determining the upper and lower boundaries of the short-board cell within a set confidence interval using probability statistics; D. Obtaining the temperature field distribution of the desired system and determining the short-board cell temperature of the target model battery cell; E. Obtaining the initial capacity retention rate of the short-board cell and obtaining the cycle decay curve at the short-board cell temperature; obtaining a specific cycle decay curve for the short-board cell; and evaluating the performance of the desired system composed of the target model battery cell based on the specific cycle decay curve. This method, on the one hand, summarizes multiple influencing factors, improving the accuracy of prediction; on the other hand, it can be adjusted for specific target model battery cells, improving prediction flexibility.

The present application relates to the field of protocol switching technology, and discloses a method and system for 5G protocol and line short compatibility intercommunication. The method includes: collecting network data through a distributed sensor network and performing real-time collection and analysis to obtain spectrum demand prediction results; calculating the high and low frequency band allocation ratios based on the spectrum demand prediction results to obtain spectrum allocation strategies; performing protocol identification and analysis on communication data to obtain data information to be converted; reconstructing and encapsulating data based on adaptive protocol conversion rules to obtain communication data after cross-protocol conversion; performing MIMO mode selection and antenna configuration optimization on the communication data after cross-protocol conversion to obtain MIMO transmission parameters; dynamically adjusting and evaluating the performance of MIMO transmission parameters to obtain the optimal communication link configuration. The present application can intelligently perceive the network environment, dynamically adjust the spectrum allocation strategy, and achieve seamless conversion between different protocols.

The application discloses a test method for an indirect jump table solving process of a binary disassembler, uses SCsmith to automatically and efficiently construct a large C file data set which can generate a jump table, further constructs a binary test set under different optimization levels through an Oracle GT compiler to track a compiling process, compares a result of solving the indirect jump table by the disassembler with a correct result, evaluates a performance of an indirect jump table solving algorithm of the disassembler, and points out a position of error occurrence. Meanwhile, since a test case corresponds to the indirect jump, the position of error occurrence can be easily pointed out. The test set constructed by the application has more effective jump tables and greater density, and can be automatically constructed, so that the test efficiency is greatly improved. The application can be used for performance evaluation of the disassembler, can help the disassembler to find defects and improve performance, and has wide application prospects.

The embodiment of the invention discloses a magnetic field measuring device and a magnetic field measuring method. The magnetic field measuring device is used for measuring a magnetic lens and comprises a gauss meter, a constant current source, a first movement mechanism and a second movement mechanism, the gauss meter comprises a gauss meter probe; a fixing piece is arranged on the first movement mechanism; an opening is formed in the fixing piece, and the gauss meter probe penetrates through the opening and is exposed out; the second movement mechanism is used for bearing the magnetic lens, and the movement direction of the first movement mechanism is the same as the axial direction of the magnetic lens; the constant current source is electrically connected with the magnetic lens, and the constant current source is used for providing preset current for the magnetic lens. According to the technical scheme, through the design of a mechanical structure, the gauss meter probe is fixed to the first movement mechanism through the opening of the fixing piece, the second movement mechanism is used for bearing the magnetic lens, the axis of the magnetic lens is in the first direction, the load of the second movement mechanism can be reduced, and the directivity of the axis of the magnetic lens can be guaranteed; measurement of the magnetic field of the magnetic lens is realized, and the performance of the magnetic lens is evaluated.

The invention discloses a dental laser handpiece state evaluation method, relates to the technical field of laser handpiece state evaluation, and aims to solve the problems that the appearance state of a laser handpiece is checked mostly in traditional evaluation modes, and a laser generator is used as a laser generator of the laser handpiece, so that the appearance of the laser handpiece cannot be evaluated. The technical problem that stability and safety are inconvenient to evaluate in the long-term operation process is solved, and the method comprises the following steps: S1, evaluating the sealing performance; professional sealing performance detection equipment is adopted to perform pressure testing on the mobile phone shell, it is ensured that no gas or liquid leaks within a specific pressure range, the corrosion resistance and antibacterial performance of the shell material are checked, it is ensured that no liquid permeates and no dust enters in the use and disinfection process, and corrosion of common disinfection reagents can be effectively resisted; s2, cross infection risk assessment; a mode of combining three-dimensional modeling analysis and actual simulation operation is utilized to evaluate the structural design of the mobile phone and determine whether dead angles difficult to clean and disinfect exist or not. The method has the advantage of evaluating the service life of the laser generator after being used for a long time.

The invention relates to a passivation efficacy test method, device and system, computer equipment and a storage medium, and the method comprises the steps: carrying out the dark-state volt-ampere test of a perovskite photovoltaic cell, obtaining the volt-ampere characteristic parameters, carrying out the fitting analysis through combining with the volt-ampere characteristic parameters, obtaining the diffusion current and generated current of the perovskite photovoltaic cell in a reverse bias state, and obtaining the passivation efficacy of the perovskite photovoltaic cell. Finally, the diffusion current and the generated current are combined for analysis and calculation, and passivation efficiency parameters representing the passivation efficiency of the perovskite photovoltaic cell in the current state can be obtained. Through the scheme, the passivation potency parameter of the perovskite photovoltaic cell can be analyzed and calculated by adopting a simple volt-ampere test mode without a complex algorithm, that is, the performance evaluation of the passivation material of the perovskite photovoltaic cell is realized, the evaluation algorithm is simple, and the calculation cost is greatly reduced.

The application discloses a kind of unmanned aerial vehicle wave measuring system reliability test platform of dual-mode wave simulation, comprising: water tank type wave simulation system, wind making system, support and reversing system, column type wave simulation system and test environmental parameter acquisition system;Water tank type wave simulation system is used to simulate the wave condition of small wave height range required by unmanned aerial vehicle wave measurement, column type wave simulation system is used to simulate the wave condition of large wave height range, by support and reversing system, the wind field of wind making system can be selectively adjusted to act on the first test area above water tank type wave simulation system or act on the second test area above column type wave simulation system.The test platform can safely, economically and controllably simulate sea state conditions, effectively and comprehensively cover the wave height range of target sea state, and can collect wave true value data and unmanned aerial vehicle wave measurement data to complete the quantitative verification of unmanned aerial vehicle wave measurement system reliability.

The invention relates to the technical field of lightning damage risk assessment, in particular to an active power distribution network lightning damage risk assessment method and system, and the method comprises the steps: building an active power distribution network lightning stroke simulation calculation model through ATP-EMTP; calculating the lightning resistance level and the flashover rate by using the simulation calculation model; performing risk assessment analysis based on the cloud-to-ground lightning density information; according to the invention, the lightning stroke simulation calculation model of the active power distribution network is established by adopting ATP-EMTP, so that the lightning stroke process of the power distribution network is accurately simulated, and the accuracy of lightning damage risk assessment is improved; through the method of calculating the lightning resistance level and the flashover rate by using the simulation calculation model, the performance evaluation of the photovoltaic side and the line side of the power distribution network under the lightning stroke effect is realized, and potential risks can be found in time; through the means of risk assessment and analysis based on the ground lightning density information, the calculation precision of the lightning flashover rate is improved by combining the ground lightning density data of the photovoltaic side and the line side, and powerful support is provided for lightning damage risk assessment of the power distribution network.

The invention discloses a stress corrosion micro-area in-situ electrochemical testing device which comprises a stress loading device, and the device comprises a body, an electrode assembly, a first stress adjusting assembly, a second stress adjusting assembly, a first displacement sensor and a second displacement sensor; the first stress adjusting assembly and the second stress adjusting assembly are respectively applied to two ends of the sample in a spring type loading mode; probes of the first displacement sensor and the second displacement sensor abut against the first stress adjusting assembly and the second stress adjusting assembly respectively. When in-situ testing operation of the stress corrosion micro-area is carried out, a sample is immersed in a corrosion solution contained in the body after a certain stress is applied to the sample, and in-situ electrochemical testing is carried out through the electrode assembly. The testing device disclosed by the invention not only can realize synchronization of stress and electrochemical testing, but also can provide accurate stress loading and displacement monitoring, and can meet strict requirements on stress corrosion performance testing in material scientific research and engineering application.

The present invention belongs to the technical field of building chillers, and provides a performance evaluation method and system for a fault detection and diagnosis algorithm. The method includes: constructing an input sample set according to an input scenario, and specifying real data information related to each input sample; based on the input sample set, using a fault detection and diagnosis algorithm to obtain fault detection and fault diagnosis outputs; comparing the fault detection and fault diagnosis outputs corresponding to each input sample with the real data information related to the input sample, and the obtained evaluation results are used to evaluate the performance indicators of the fault detection and diagnosis algorithm.

This application provides a generalized verification and evaluation method and platform for fault prediction and health management. The method includes: S1, constructing an evaluation index system based on requirements and industry standards; S2, constructing a fault model based on fault mechanisms and data-driven approaches, and generating a fault simulation mathematical model; S3, using the fault simulation mathematical model to generate simulated fault data, which, together with normal working data and actual operating condition data, constitutes the original dataset; S4, designing and generating test case templates based on the evaluation index system and actual requirements, and adapting the test cases; S5, adjusting the original dataset according to the test cases to generate a verification data stream; S6, inputting the verification data stream into the algorithm or prototype for functional verification; S7, analyzing the verification process and results based on the evaluation index system, and generating an evaluation report and charts. This solution can achieve comprehensive, reliable, and efficient verification and evaluation of fault prediction and health management algorithms and prototypes.

The present invention discloses a digital media literacy intervention system and method for adolescents based on big data, which relates to the field of learning intervention technology, recommends corresponding learning resources for students, collects learning status data to generate reminder values, issues learning reminders to the outside when the reminder values ​​are lower than expected, generates reminder density from the state data of received learning reminders, and when the reminder density is higher than expected, performs data analysis on the performance feedback data, generates target completion from the learning feedback values ​​before and after the intervention in the student learning process, and if the target completion does not exceed the preset completion threshold, obtains the influencing factors affecting the target completion by principal component analysis, optimizes the learning resource push strategy, executes instant incentive feedback measures or outputs optimization suggestions for optimizing the intervention path. Customize learning resources for students so that students can obtain more matching learning resources on the current learning path.

The invention belongs to the field of catalyst testing, and particularly relates to an equivalent testing method and device for a monolithic catalyst and a granular catalyst, and the method comprises the following steps: S1, obtaining the monolithic catalyst and the granular catalyst with the same active component loading capacity; s2, obtaining a fully equivalent granular catalyst; and S3, carrying out catalytic performance test on the monolithic catalyst and the fully-equivalent particle type catalyst, and comparing the performance of the monolithic catalyst and the performance of the particle type catalyst. According to the equivalent test method for the monolithic catalyst and the granular catalyst, the fully-equivalent granular catalyst which is consistent with the monolithic catalyst in active ingredient loading capacity, flow resistance, filling height and substrate contact duration is obtained through the steps, and finally, the performance of the fully-equivalent granular catalyst and the performance of the monolithic catalyst are compared. And the efficiency evaluation on the monolithic catalyst and the granular catalyst under the same condition is realized.

The invention relates to the technical field of satellite communication, and discloses an OAM inter-satellite optical communication system performance evaluation method, system and device and a medium. The method comprises the following steps: establishing an OAM inter-satellite optical communication system model to obtain field intensity distribution of a light beam emitted from an information source satellite to an information sink satellite under the influence of a pointing error; expressing the field intensity distribution of the light beam under the influence of the pointing error as a spiral harmonic function expansion form, and carrying out radial integration on an expansion coefficient in the spiral harmonic function expansion form to obtain the energy of each OAM mode in the light beam; obtaining the purity of each OAM mode according to the energy of each OAM mode in the light beam and the total energy of the whole light beam, and constructing a probability density function and a cumulative distribution function of the OAM mode purity in the OAM inter-satellite optical communication system in combination with the purity of multiple OAM modes, so as to evaluate the performance of the OAM inter-satellite optical communication system.

The present invention discloses a security monitoring system based on knowledge graph and multimodal information, which specifically relates to the technical field of network node management, including building a deep learning model based on a convolutional neural network, using the trained deep learning model to predict the set of state values ​​of all network nodes at the next moment, and outputting a node state risk index by analyzing a fused fault state category matrix of the network nodes at the next moment; building a fault handling knowledge graph, inputting fault information into the fault handling knowledge graph, and outputting a fault theoretical handling operation; outputting a fault handling performance index by analyzing the fault theoretical handling operation and actual fault handling information; jointly analyzing the node state risk index, the fault handling performance index and the prediction accuracy, outputting a node risk control coefficient, taking measures based on the relationship between the node risk control coefficient and a threshold, and solving the problem that the prior art lacks node fault prediction in computer networks.

The application provides a satellite map environment perception-based GNSS positioning quality evaluation and high-precision positioning method and system, the satellite positioning quality is predicted through a satellite map environment perception model; and an environment perception factor and a multi-dimensional fused EDOP-M index are introduced as the priori theoretical evaluation of the ambiguity solution of the current satellite geometry configuration; and the optimal satellite subset is screened through the multi-constraint comprehensive score of the inner group quantity, the geometry configuration and the signal quality; if the EDOP-M index of the optimal satellite subset meets the requirements, the optimal satellite subset is used to perform RTK solution again, and the solution output is used as the positioning result at the current time, otherwise the multi-source fused inertial navigation result is used as the positioning result at the current time. The satellite map environment perception model is used to realize the positioning signal quality discrimination under different complex environments, and the application improves the robustness, stability and adaptive processing capacity of positioning under the conditions of multipath and complex shielding.

The invention provides a gymnasium steel structure performance evaluation method and system based on multi-modal data fusion, and relates to the technical field of steel structure analysis, and the method comprises the steps: obtaining strain response time sequence data and temperature time sequence data of a key part of a gymnasium steel structure in a plurality of historical time periods; constructing and training a double-layer long-short-term memory network based on the strain response time sequence data and the temperature time sequence data to predict the strain response data of the key part at the future moment, obtaining the strain response time sequence data and the temperature time sequence data of the key part of the gymnasium steel structure in the current time period, and obtaining the strain response time sequence data of the key part of the gymnasium steel structure through the double-layer long-short-term memory network. The strain response data of the key parts at the future moment are predicted, the strain response data of the key parts at the next sampling moment are compared with a preset threshold value, and the performance of the steel structure is divided into excellent performance, qualified performance and unqualified performance based on the comparison result.

The present invention provides a bridge inspection vehicle performance monitoring management system and method, including a motor driver including a left motor driver and a right motor driver, which are used to control the rotation speed of the left drive motor; the right motor driver is electrically connected to the right drive motor, which is used to control the rotation speed of the right drive motor; the current detector includes a first current detector and a second current detector, the first current detector is used to detect the first working current of the left drive motor; the second current detector is used to detect the second working current of the right drive motor; the maintenance record module is used to record the fault occurrence time, fault details and fault recovery time when a fault alarm occurs. The performance evaluation and early warning of the inspection vehicle are realized, the safety level is increased, and the hidden safety risks existing in the use of the bridge inspection vehicle are reduced.

The invention provides a bearing test bench, comprising a main test side device, a companion test side device, an axial loading device, a radial loading device and a control system; the main test side device comprises a main test shield body and a main test drive, and is designed with a main test bearing installation interface, the outer ring of the main test bearing is fixedly connected to the main test shield body, and the inner ring thereof is fixedly connected to the main test drive; the companion test side device comprises a companion test shield body and a companion test drive, and is designed with a companion test bearing installation interface, the outer ring of the companion test bearing is fixedly connected to the companion test shield body, and the inner ring thereof is fixedly connected to the companion test drive, and the inner ring of the companion test bearing is fixedly connected to the inner ring of the main test bearing through a connecting flange; the axial loading device is used for axially loading the main test bearing and the companion test bearing; the radial loading device is used for radially loading the main test bearing and the companion test bearing; the control system comprises a drive control system, a hydraulic control system, a PLC and a host computer, the drive control system is used for controlling the main test drive and the companion test drive, the hydraulic control system is used for controlling the axial loading device and the radial loading device, and the drive control system and the hydraulic control system are both connected to the host computer through the PLC.