59 results about "Platform test" patented technology

The invention relates to the technical field of artificial intelligence and automatic testing, and particularly discloses an AI-based automatic testing method and device. The method comprises the following steps: capturing and recording complete execution historical information in a process of executing a test task by an AI agent, and serializing and storing the complete execution historical information as reusable cache data; before the test is executed, the validity of the cache is judged through a multi-dimensional verification mechanism including data integrity, timeliness, functionality and the like; when the cache verification is passed, a result is quickly obtained based on the cache data playback test process; when cache verification is not passed or execution fails, triggering an AI agent to perform new reasoning and steps to generate and update cache data; and meanwhile, a caching strategy is dynamically adjusted according to test case changes and resource conditions. The device comprises a test executor, an AI agent manager, an intelligent cache manager and a dynamic cache management module, and all the modules work cooperatively to improve the test efficiency, reduce the calling cost of a large language model and enhance the stability of a test result. The method is suitable for Web / APP automatic testing, cross-platform testing, CI / CD process testing and other scenes, the execution efficiency can be remarkably improved, the cost is reduced, and resource utilization is optimized.

The invention belongs to the field of software testing and intelligent automation, and provides a multi-mode case integrated testing method, device, equipment and medium, and the method comprises the steps: obtaining user operation video data, and extracting the user operation video data to obtain a key frame; performing multi-modal visual analysis on the key frame to obtain a multi-modal visual analysis result, and determining a first draft test case according to the multi-modal visual analysis result; the first draft test case is tested through an MCP, a case test result is obtained, and the test comprises structured testing, page understanding, recovery and callback processing through a main agent and a plurality of sub-agents; and performing equipment control and operation processing on the cross-platform equipment by adopting the MCP according to the case test result to obtain a cross-platform test report. The cross-platform multi-mode case testing method has the advantages that the testing efficiency and accuracy of the cross-platform multi-mode case are improved, and testing interference is reduced.

The embodiment of the invention provides an automatic driving cloud simulation platform test method and device, and the method comprises the steps: obtaining multi-source data of an automatic driving cloud simulation platform, carrying out the classification and structural extraction of the multi-source data, obtaining corresponding knowledge fragments, and storing the knowledge fragments into a knowledge source database, according to the types of the knowledge fragments, vectorizing the knowledge fragments by adopting different language models to obtain a document vector set, a code vector set and a scene parameter vector set; receiving and vectorizing a test demand described by a natural language, performing vector retrieval in the document vector set and the scene parameter vector set according to a retrieval enhancement generation algorithm, and inputting a retrieval result into the artificial intelligence model to understand the scene demand of the test, so as to obtain test case logic output by the model, the test code template is retrieved in the code vector set according to the test case logic, the input parameters are injected into the test code template to obtain the test code for testing, and the efficiency and accuracy of automatic driving cloud simulation platform testing can be improved.

The invention provides a software transplantation method based on a processor. The software transplantation method comprises the following steps: firstly, carrying out hardware type selection and instruction set compatibility analysis, analyzing a software binary code by utilizing a specific algorithm, counting and comparing instructions, and comprehensively evaluating hardware performance to determine adaptive hardware. Then, software transportability is evaluated, and a software dependency graph and a transplantation feasibility prediction model are constructed; then, an operating system is adapted, the loading sequence and parameters of a kernel module are dynamically adjusted, and setting of a basic input and output system is optimized; in a software transplantation implementation stage, source codes are analyzed and converted based on an abstract syntax tree, open source software adopts incremental compiling cache, binary software analyzes and processes compatibility problems, and meanwhile, a one-key installation program is optimized. And finally, performing server monomer testing and platform testing, monitoring performance, checking functions, analyzing faults and optimizing until the system meets requirements. According to the method, many key problems in the process of transplanting the software to the processor are effectively solved, and the success rate of transplanting and the stability of the system are improved.

The utility model provides a test installation device and test platform for a gas turbine test piece, which comprises an installation platform, a test transfer box and a lifting assembly, and is characterized in that the installation platform is provided with an accommodating cavity with a top opening; the test transfer box is provided with a first position and a second position, the test transfer box is located in the containing cavity at the first position and located outside the installation platform at the second position, the test transfer box is slidably connected with a top opening of the containing cavity, the lifting assembly is connected with the containing cavity, and the lifting assembly is connected with the installation platform. And the lifting assembly is in transmission connection with the test transfer box, so that the test transfer box is driven by the lifting assembly to be switched between the first position and the second position. According to the utility model, high-altitude installation operation of a test interface and nearby switching requirements of a test point are considered, installation and maintenance are convenient, and occupied space is small.

This invention provides a method and system for evaluating the compatibility of power grid business applications with processor architectures. The method includes: determining a power grid business scenario-based test suite based on the type of the power grid business application to be evaluated. The test suite includes a power industry protocol test script for verifying the processor architecture's power protocols, a real-time control performance test script for evaluating the processor architecture's control performance, and a power grid data consistency verification script for verifying the processor architecture's timing synchronization. On a multi-platform test environment cluster, an automated task scheduling engine is used to execute compatibility tests of the power grid business application on each processor architecture within the multi-platform test environment cluster, based on the power grid business scenario-based test suite. A rule engine is used to generate a compatibility rating level based on multi-dimensional test indicators collected during the testing process, achieving a comprehensive evaluation of the compatibility of the power grid business application with the processor architecture in terms of functional adaptation, performance, and data consistency.

The utility model discloses a strength testing device for a prefabricated plate body in a prefabricated building system, belongs to the field of strength testing devices, and aims to solve the problem that the obtained experimental result is incomplete and inaccurate due to the lack of a low-temperature environment simulation function on the plate body in the conventional strength testing device for the prefabricated plate body. The device comprises a bottom plate, a working platform, a test plate fixing assembly, a cooling capacity output unit, a sliding unit and a simulation impact unit, the working platform is fixed at the top of the bottom plate, the cooling capacity output unit is arranged on the bottom plate, the sliding unit is fixed at the bottom of the working platform, and the test plate fixing assembly is arranged at the top of the working platform. The simulation impact unit is arranged on the bottom plate, and the execution end of the simulation impact unit and the cooling capacity output end of the cooling capacity output unit are located on the same side of the test plate fixing assembly. The device is mainly used for testing the strength of the prefabricated slab in the prefabricated building system in the simulated low-temperature environment.

The application discloses a kind of unmanned aerial vehicle performance ground test verification platform and method, for the comprehensive test of multi-rotor unmanned aerial vehicle function and performance parameter, ground verification, evaluation and airworthiness determination.The present application is tested through indoor platform, and a single person can operate, without organizing large-scale manpower and material resources to carry out field test, shorten test preparation time, reduce manpower, equipment and comprehensive cost such as site.The present application can place verification platform in controllable test environment, fix unmanned aerial vehicle on verification platform, while accurately simulating weather, airspace and various complex external scenes, controllable throughout, avoid unmanned aerial vehicle crash and other risks in field test.Finally, the present application integrates high-precision sensor to collect data, can capture unmanned aerial vehicle deflection angle, lift and operation data in real time for specific working conditions, ensure the accuracy, integrity and timeliness of data, provide solid data support for performance in-depth analysis, algorithm iteration and system optimization.

This application provides a multimodal automatic testing system and method, relating to the field of industrial process control system testing technology. The multimodal automatic testing system includes a computing and control unit, a PXI chassis, a signal conditioning chassis, an interface connection unit, a power supply unit, and a human-machine interaction unit. The system is equipped with an automatic testing software platform, including modules for test case management, script generation and parsing, hardware abstraction and channel mapping, signal generation and scheduling, data acquisition and result judgment, log recording and report generation, and human-machine interaction and control. This application can achieve unified simulation and acquisition of multimodal signals on a single platform, featuring high testing accuracy, high automation, strong versatility, and cross-platform adaptability, effectively improving the coverage and execution efficiency of domestically produced DCS platform testing.

The invention relates to a multi-platform chip collaborative verification system. The system comprises a platform execution layer, a central management and control engine, a dynamic fusion engine and a consistency automatic coordinator, the platform execution layer is composed of a design implementation and verification environment; the central management and control engine stores a central interface description file, and the central interface description file comprises a semantic layer, a logic layer and a physical layer; the dynamic fusion engine is connected with the central management and control engine and used for updating the logic layer and the physical layer based on the updating content of the semantic layer and pushing the updated logic layer and physical layer to the central management and control engine for storage; and the consistency automatic coordinator is connected with the platform execution layer and the central management and control engine, and is used for generating a storage resource access interface of a verification environment in the platform execution layer based on the central interface description file, and performing version consistency verification on the storage resource access interface of the verification environment in the platform execution layer and storage resources in design implementation. According to the invention, automatic updating of the multi-platform test environment with changed interfaces is realized.

A cloud computing system is provided for testing a Distributed Energy Resource (DER) Management System (DERMS) that manages operation of DERs connected to a power system. The cloud system implements a DERMS testing platform on virtualized cloud computing resources of the system. The platform tests the DERMS and is modularized. In some embodiments, the DERMS is modularized into at least a simulation module and a communication module, where the simulation module is configured to simulate DER(s) of power system and the communication module communicatively interfaces DERMS with DER(s) via communication network(s). The simulation module also simulates the power system under test conditions as the DERMS manages operation of DER(s) via the communication module. The cloud computing system exposes the platform as a service for testing the DERMS under test conditions. The cloud system scales the resources allocated to the platform with the number of DER(s) simulated under different test conditions.

The invention provides a control software joint simulation hardware-in-the-loop test system and method. The system comprises a hardware-in-the-loop test platform, a test project management platform and an automatic test platform. The hardware-in-the-loop test platform comprises an IO interface board card and a real-time simulation machine which are respectively used for connecting a physical controller and operating a controlled object model containing a virtual controller model; the system supports the hybrid deployment of a real object and a virtual controller: the controller of a selected type can be accessed in the form of the real object, and meanwhile, a corresponding virtual model in a real-time simulation machine replaces a non-accessed controller of the same type, so that the controller and the real-time simulation machine interact in real time to form a closed-loop test. According to the method, flexible configuration and reuse of a test environment are realized, a whole-process closed loop from test management, automatic execution to result tracing is completed, the method has software quality quantitative measurement and continuous improvement capabilities, and the test efficiency, coverage depth and quality assurance level of the new energy automobile control software are remarkably improved.

The utility model discloses a kind of shell for transformer development platform test, specifically related to transformer technical field.Transformer development platform test shell, comprising:at least four side plates and at least two end panels, four The side plate is fixedly spliced into a rectangular cylindrical structure, two The end panel is respectively fixed at the both ends of the rectangular cylindrical structure formed by four side plates, forming the closed transformer test box;The side of the side plate is provided with first fixed frame, the first fixed frame is integrally formed with the side plate, a plurality of perforations are formed around the first fixed frame;The side of the side plate away from the first fixed frame is symmetrically provided with a plurality of threaded holes on both sides. The shell for transformer development platform test provided by the utility model is combined and spliced by side plate, end panel and middle plate, the size of transformer test box can be adjusted according to actual demand, without customizing specific size box, improve use flexibility.

The application belongs to the technical field of power systems, and specifically discloses a wind farm controller hardware-in-the-loop simulation method for a wind turbine test platform, which comprises the following steps: establishing a platform simulation model comprising a wind turbine transmission chain test platform model and a wind farm simulation model and setting a control strategy; configuring parameters of the platform simulation model; building a controller hardware-in-the-loop simulation system; loading the platform simulation model, the control strategy and model parameters into the system to complete data interface matching; carrying out simulation testing, obtaining and analyzing the operating state of the wind turbine; if the control effect does not meet the preset requirements, adjusting the control strategy or the model parameters and repeating the testing until the requirements are met. The method can realize dynamic coupling simulation between the wind turbine transmission chain, the wind farm operation and the power grid working condition, support control strategy verification and parameter optimization under multiple working conditions, and solve the problems of limited test range of the traditional test platform, insufficient strategy verification and high risk of real machine testing.

The invention discloses a multi-platform test method and device for a vehicle and a processor. The method comprises the steps that test conditions corresponding to a to-be-tested vehicle on an initial simulation platform are acquired, and different test conditions correspond to different running states of the vehicle; according to the test condition, utilizing an intermediate language scene model to migrate the test scene information of the vehicle from the initial simulation platform to a target simulation platform, the intermediate language scene model being used for associating the initial simulation platform with the target simulation platform, and the intermediate language scene model being used for associating the initial simulation platform with the target simulation platform; the initial simulation platform and the target simulation platform are in a many-to-many mapping relationship, and the test scene information is used for representing a test scene where the vehicle is located; and testing the vehicle on the target simulation platform according to the test scene information to obtain a test result. The technical problem that the vehicle cannot be effectively tested on multiple platforms is solved.

The invention discloses a cross-platform mobile terminal automatic testing method and device based on natural language driving and a medium. The method comprises the following steps: analyzing a natural language instruction in a preset format file, and extracting an operation semantic feature and a target object description; matching an underlying control protocol instruction corresponding to the system type of the current tested equipment from a preset cross-platform instruction abstraction library according to the operation semantic features; acquiring a current interface image of the equipment, and retrieving a target coordinate area matched with the target object description by using a hybrid positioning mechanism; and finally, generating and executing an automatic test action. According to the method, the problem of inaccurate element positioning in a complex UI scene is solved through weighted fusion and intersection-union correlation of text and icon areas in a hybrid positioning mechanism; and meanwhile, the abstract library is utilized to shield the underlying protocol difference between the Android and the iOS, so that the cross-platform test driven by the natural language is realized, the script maintenance cost is remarkably reduced, and the test efficiency is improved.

The invention provides a method and a device for detecting a conflict of a multi-level structure of a client page, and relates to the technical field of UI (User Interface) testing. The method comprises the steps that a multi-device multi-system test cluster and a cross-platform test framework are built, the cross-platform test framework is integrated with a rule engine, and the rule engine is used for configuring a hierarchical priority rule; generating a multi-level combined scene based on a level component type and a level priority rule, and injecting a dynamic behavior triggered by a simulation user interaction operation and a plurality of extreme scenes to generate a dynamic test scene; based on a dynamic test scene, simulating concurrent user operation in a multi-device multi-system test cluster, verifying event distribution logic, and synchronously managing, controlling and recording rendering data; based on the rendering data, verifying hierarchy rationality from a Z-axis hierarchy, a display time sequence and a focus state three-dimensionally to obtain a verification result; and generating and outputting a three-dimensional conflict positioning report based on a verification result. And full-scene automatic detection of complex page multi-level conflicts is realized.

The embodiment of the invention provides a test case access platform, a test method and device, equipment, a medium and a product. The platform comprises a management service used for managing test cases, test reports and analysis results; the synchronization service is used for carrying out adaptive processing on the test code of the tested software according to the annotation protocol to obtain an adaptive test code; the execution service is used for performing adaptation processing on the test framework of the tested software by utilizing the execution protocol to obtain an adaptive test framework; the management service is also used for registering the adaptive test case and the adaptive test framework on the test platform and then completing the access of the test case; wherein the annotation protocol defines structured use case attribute information, and the execution protocol defines a specification of use case execution context. The test case and the test framework are subjected to adaptive processing by utilizing an adaptive protocol (including an annotation protocol and an execution protocol) which is set in advance, so that various types of test cases and test frameworks can execute test tasks on the test platform.

The present application relates to a kind of test device and test method based on vortex-induced motion towed test, belong to the technical field of offshore platform test.It includes floating structure model, floating structure model is located on water surface and is arranged multiple one-way force sensors in circumference, one end of single one-way force sensor is fixed on floating structure model, the other end is connected with light steel wire rope;The other end of light steel wire rope is connected spring group after passing through universal pulley, the tail end of light steel wire rope is fixed on the mooring point of support pole after passing through the fixed pulley on truss;Setting tow vehicle system on water surface, floating structure model is matched with tow vehicle system and located below tow vehicle system;Floating structure model is installed with multiple-degree-of-freedom motion measuring instrument.The present application changes truss height to determine the length of steel wire rope and spring group, adjusts the pre-tension of spring system by changing mooring point position or the length of contraction steel wire rope, test process is convenient, vortex-induced motion test test capacity is greatly improved.

The invention relates to the technical field of shear testing, in particular to a composite material strength testing device which comprises a tester, a moving platform used for moving up and down for testing is arranged on the tester, a base is mounted at the inner bottom end of the tester through bolts, an L-shaped plate is fixedly connected to the top end of the base, and a right-angle plate with an inclined plane is arranged below the moving platform. Through the arrangement of structures such as multiple sections of clamping and T-shaped rods, a composite material only needs to be cut into specified long strips and clamped on a clamping seat, a test block can be clamped and separated into multiple sections under the action of multiple clamping blocks, then the multiple T-shaped rods can be driven to be inserted into a through groove one by one under the action that a tester drives a moving platform and a right-angle plate to move downwards, and then the test block can be clamped and separated into multiple sections; the shear test is carried out on the composite material test block, so that the multi-section shear test can be completed through one-time clamping, the manpower and time for repeated clamping, positioning and measurement are saved, the positioning error caused by repeated clamping is avoided, and the data consistency and the test efficiency are improved.

The invention discloses a collision test parameter recommendation method and device and a storage medium, and relates to the technical field of automobile collision test. The scheme comprises the following steps: acquiring a target collision motion parameter expected to be realized by a collision test trolley in a deceleration sliding table test; inputting the target collision motion parameters into a trained target prediction model, and obtaining recommended test parameters including damper target parameters; wherein the target prediction model constructs a training sample based on a simulation result of a deceleration sliding table test, and establishes a mapping relation from a motion parameter to a test parameter through a machine learning method. According to the scheme, the recommendation parameters highly matched with the target can be quickly output, the accuracy and efficiency of parameter configuration are remarkably improved, and the debugging process originally needing multiple iterations is greatly simplified.

The invention relates to the technical field of vehicles, in particular to an Internet of Vehicles TSP platform virtual test method and related equipment, and the method comprises the steps: constructing a virtual test environment, and presetting a plurality of protocol templates and interaction signal definitions in a protocol configuration library; the virtual TBOX generates vehicle state data, constructs the vehicle state data according to a protocol specification, uploads the vehicle state data to the TSP platform through a configured protocol stack, pushes the data to the virtual terminal after service processing of the TSP, verifies logic consistency of terminal display content and an original signal, and obtains an uplink simulation result; the virtual terminal initiates a vehicle control instruction, the TSP platform converts the instruction into a target protocol message, the virtual TBOX analyzes and feeds back a response code after receiving the target protocol message, and a downlink verification result is obtained; evaluating the function and performance of the Internet of Vehicles TSP platform according to the uplink simulation result and the downlink verification result; according to the invention, the testing efficiency and accuracy of the Internet of Vehicles TSP platform can be improved, the testing cost is reduced, and the testing period is shortened.

The present application relates to a kind of inertial platform testing device and method, specifically, a kind of rotary table angle position measurement precision automatic detection device and detection method, solve the technical problems that present technical difficulty quickly and accurately measure the rotation angle precision of the shaft angle encoder of rotary table or shaft angle encoder and automatically adjust tower difference.The present application is a kind of rotary table angle position measurement precision automatic detection device, including synchronous sampling unit, processing unit, autocollimator and tool shaft, regular 23 face prism, electric two-dimensional adjustment mechanism;Synchronous sampling unit is respectively connected with the communication of processing unit, autocollimator to be measured rotary table;Processing unit is used for according to the rotation angle of the rotary table to be measured, the rotation angle adjustment alpha axis of regular 23 face prism, beta axis, so that the tower difference between the rotation axis of regular 23 face prism and the rotation axis of the rotary table to be measured is minimum.The detection method of the present application can automatically detect the detection of the one angle precision of the rotary table to be measured, greatly improve work efficiency.

The utility model discloses a special slide rail testing machine for an experiment, which comprises a bottom plate, a testing machine shell arranged at the top of the bottom plate, a testing platform arranged at the top of the testing machine shell, a sliding gantry platform arranged on one side of the top of the testing machine shell, and left and right platform load assemblies arranged on two sides of the front surface of the sliding gantry platform. A vertical load assembly is arranged at the top of the sliding gantry platform, a power assembly is arranged on one side of the vertical load assembly, and a testing head is arranged at the bottom of the power assembly. According to the utility model, through the relationship among the test platform, the balancing weight, the left and right platform load assemblies, the sliding gantry platform, the test machine housing, the violent closing assembly, the vertical load assembly, the violent opening assembly, the protection assembly, the test frame body, the moving assembly, the test head and the power assembly, the test of different dimensions of slide rails with different sizes is realized; the test process can be flexibly configured, and the use efficiency of the slide rail is improved.

This invention provides a method and apparatus for verifying power materials based on a dynamic rule tree. The method includes: collecting ERP order data, platform test data, and sensor monitoring data of power materials; performing data fusion processing based on the material and equipment IDs contained in the ERP order data, platform test data, and sensor monitoring data to generate a real-time wide table; extracting key fields from the real-time wide table and determining whether the key fields are semantically conflicting items; constructing a rule tree with standard file number or standard file name as the root node and standard file content as the child nodes, and dynamically updating the rule tree when the standard file is updated; matching key fields that do not belong to semantically conflicting items with the rule tree to obtain verification results; writing the verification results and key fields that belong to semantically conflicting items into a graph database; and constructing a traceability link based on the data in the graph database. This method can improve the accuracy of material and equipment verification.

The invention discloses a data test method, which is applied to a test platform, the test platform comprises a control node, at least one test node, a statistical node and a monitoring node, and the method comprises the following steps: controlling the at least one test node to send a first request to first equipment through the control node; wherein the first request comprises a first data sample; collecting resource utilization data of the first equipment in the large model reasoning process through the monitoring node; receiving a first message sent by the first device through the at least one test node; wherein the first message comprises a reasoning result of a first large model reasoning instance in the first equipment on the first data sample; receiving at least one reasoning result sent by at least one test node through the control node; and counting a test result corresponding to large model reasoning through the statistical node. The invention further discloses a test platform, a test system, a computer readable storage medium and a computer program product.

This invention discloses a distributed testing method for UAV flight control computers based on Directed Acyclic Graph (DAG). Step 1: Build a distributed testing system; Step 2: Based on the distributed testing system in Step 1, construct a DAG task scheduling model; Step 3: Based on the DAG task scheduling model in Step 2, perform static allocation before scheduling; Step 4: Based on the DAG task scheduling model in Step 2 and the allocated static resources, achieve dynamic scheduling. This invention addresses the problems of susceptibility to node state influence and uneven distribution of node resources in current UAV hardware-in-the-loop (HIL) simulation testing platforms during test case scheduling.

The invention discloses an Internet platform test data generation system based on a generative adversarial network, and relates to the field of test data generation systems, comprising: computing power nodes: three GPU servers; the data storage node comprises a full flash memory storage array; according to the central processing unit, an ARM Cortex-A78 processor is integrated with an NPU, an FPGA task scheduling chip solidifies a collaborative scheduling logic circuit, 128 parallel processing units conduct priority evaluation on 512 tasks at the same time, and the scheduling delay is smaller than 10 ms. According to the condition vector generator, an Apache Spark cluster is configured with 32 Executors, each Executor is allocated with a 4-core 16GB memory, and 9-dimensional user portraits and commodity features are extracted from original data. The method has the advantages of efficiency improvement, quality guarantee, cost, safety and intelligence.

The invention relates to the technical field of cloud platform performance testing, and particularly provides a cloud platform architecture performance testing method and system based on an industrial agent, and the method comprises the steps: collecting time sequence performance data and spatial topology data, and carrying out the preprocessing; inputting the preprocessed time sequence performance data into a performance evaluation model, extracting time sensitive features, generating a reference time sequence curve and marking an abnormal target object; performing collaborative risk verification based on the collaborative simulation scene to obtain a cloud platform test result; combining the preprocessed spatial topological data, the abnormal target object and a cloud platform test result, constructing a topological association link through a risk diffusion evaluation model, simulating an abnormal diffusion path and an influence range, and generating a risk evaluation result; and performing space-time coupling analysis on the reference time sequence curve, the abnormal target object, the cloud platform test result and the risk assessment result to generate a performance test assessment result. Therefore, the full-dimension performance test under the industrial agent cooperation scene is realized, and the performance bottleneck is accurately positioned.

The invention discloses an unmanned aerial vehicle performance ground test verification platform and method which are used for comprehensive test, ground verification, evaluation and airworthiness judgment of functions and performance parameters of a multi-rotor unmanned aerial vehicle. Through indoor platform testing, one person can operate, large-scale manpower and material resources do not need to be organized to carry out field testing, the testing preparation time is shortened, and the comprehensive cost of manpower, equipment, sites and the like is reduced. The verification platform can be placed in a controllable test environment, the unmanned aerial vehicle is fixed on the verification platform, various complex external scenes such as weather and airspace are accurately simulated, the whole process is controllable, and risks such as unmanned aerial vehicle crash in an external field test are avoided. Finally, high-precision sensors are integrated to collect data, the deflection angle, lift force and operation data of the unmanned aerial vehicle can be captured in real time according to specific working conditions, the accuracy, integrity and timeliness of the data are ensured, and a solid data support is provided for performance deep analysis, algorithm iteration and system optimization.