139 results about "Platform test" patented technology

The present disclosure relates to a system (102) and method (500) for analyzing network performance parameters. A user interface module (212) enables reception of comprehensive network speed test requests that specify multiple network performance parameters for analysis. A test execution module (214) triggers coordinated operation of multiple testing units (302a, 302b, 302c) to perform simultaneous network speed tests across different platforms. A data collection module (216) systematically aggregates the generated performance information from all testing units. One or more processors (202) transform the collected information through advanced processing algorithms to generate standardized performance data for each network parameter. An analyzing module (218) performs multi-dimensional analysis of the processed data based on specific attributes to provide comprehensive network performance insights. The integrated approach enables automated cross-platform testing, unified data collection, and sophisticated analysis of network performance characteristics, offering significant advantages over conventional single-platform testing methods.

The invention relates to a cross-platform UI automatic testing method based on a multi-modal large model, and belongs to the technical field of UI automatic testing. The method comprises the following steps: acquiring data of multiple modes from UI interfaces of different platforms, and preprocessing the acquired multi-mode data; the preprocessed multi-modal data are input into a multi-modal large model, feature fusion is carried out, and multi-modal feature representation is formed; automatically generating a cross-platform test script according to a test requirement and the output of the multi-modal large model, and simulating user operation through interaction with an agent program or a driving program of each platform; performing intelligent analysis on a test result by using the multi-modal large model, including comprehensive evaluation on multi-modal data generated in a test process; abnormal conditions and potential problems in the test are automatically identified, and an analysis result is obtained; and a detailed test report is automatically generated, so that the problems of lack of visual verification, poor cross-platform compatibility, high maintenance cost and the like in the traditional U I test are solved.

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.

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 discloses a heterogeneous unmanned platform test method and system based on virtuality and reality combination, and solves the interconnection, interworking and interoperation problems of various heterogeneous test objects through an LVC integrated joint simulation technology, and further utilizes a virtuality and reality interaction method on the basis of the interconnection, interworking and interoperation problems. The method comprises the following steps of: fusing simulation elements in a test process of a real physical test, adding a physical test link in a virtual simulation test process, performing a virtual simulation test by utilizing data from the real physical test, and broadening and expanding test verification contents by utilizing virtual simulation; and a set of virtual-real combined test environment system is constructed for intelligent unmanned platform integration test verification, and system-level heterogeneous unmanned platform test verification based on a specific scene can be completed. According to the invention, interconnection, intercommunication and interoperation of various heterogeneous test objects are realized, the accuracy and credibility of the test are improved, and the test cost is reduced.

The invention discloses a novel Internet of Vehicles congestion simulation method oriented to a 5G V2X Uu interface, a semi-physical simulation test platform oriented to the 5G V2X Uu interface is included, the test platform architecture comprises a traffic simulator, data packet software, a receiving end OBU, a sending end OBU and a 5G comprehensive tester, and the problem that the semi-physical simulation is limited by the number of terminals and is difficult to simulate a congestion scene is solved. By limiting available resources of the network, the requirement of semi-physical simulation on the number of terminals is reduced, and meanwhile, the increase of the number of vehicles in the network is simulated by increasing the network traffic load. The adjustment of the traffic load is realized by setting a data packet sending period and the size of a data packet. And selecting a required channel model to calculate fading according to a traffic simulation scene and vehicle time-position information, and then adding the fading into a corresponding data packet. And for a V2N2V link, respectively adding uplink fading and downlink fading for a data packet according to different environments and positions of receiving and transmitting end vehicles.

The invention relates to the technical field of chip verification, in particular to a cross-platform test scene reproduction method, which comprises the following steps of: S1, executing simulation of chip design on a first verification platform, and capturing and recording all related signal waveform data in a simulation process through a simulation tool; s2, converting the waveform data captured in the S1 into a text format by using a waveform conversion tool, wherein the text format comprises an input signal required by a second platform; s3, the second verification platform reads the text content converted in the step S2, state data of each signal at different time points are extracted from the text content, and an excitation signal sequence suitable for the second verification platform is generated according to the extracted information; s4, loading the excitation signal generated in the step S3 to an RTL model of a second verification platform; and S5, operating simulation on the second verification platform by using the excitation signal set in the step S4. According to the method, the flexibility, efficiency and reliability of chip verification are remarkably improved.

The invention discloses a cross-platform advertisement putting strategy collaborative management method and system, and relates to the technical field of advertisement putting, and the method comprises the steps: uploading a plurality of advertisement test samples to a putting platform test library for testing, obtaining real-time network information, and carrying out the evaluation of a test result, selecting the advertisement test sample with the highest advertisement putting return rate data as a main push advertisement, setting an advertisement putting strategy according to the hot time period of the platform, then pre-putting the main push advertisement on each platform according to the advertisement putting strategy to evaluate the pre-putting effect, establishing a revenue prediction model according to a deep reinforcement learning algorithm, and predicting the revenue of the main push advertisement. The method comprises the steps of predicting the income of advertising on each platform in real time, dynamically distributing a budget weight according to the predicted income data of the advertising on each platform to obtain an advertising strategy distribution table, and formulating an advertising income distribution contract according to a preset advertisement click rate and a conversion value. And according to the advertisement revenue distribution contract, calculating and distributing revenue to an account corresponding to the platform.

The invention belongs to the technical field of power systems, and particularly discloses a wind power plant controller hardware-in-the-loop simulation method for a wind turbine generator test platform, which comprises the following steps: establishing a platform simulation model comprising a wind turbine generator transmission chain test platform model and a wind power plant simulation model, and setting a control strategy; configuring parameters of the platform simulation model; establishing a controller hardware-in-the-loop simulation system; the platform simulation model, the control strategy and the model parameters are loaded into the system, and data interface matching is completed; a simulation test is carried out, and the operation state of the wind turbine generator is acquired and analyzed; and if the control effect does not meet the preset requirement, adjusting the control strategy or the model parameter and repeating the test until the requirement is met. According to the method, dynamic coupling simulation among a wind turbine generator transmission chain, wind power plant operation and power grid working conditions can be achieved, control strategy verification and parameter optimization under multiple working conditions are supported, and the problems that a traditional test platform is limited in test range, insufficient in strategy verification and high in real machine test risk are solved.

The invention relates to a function test method, device and equipment of a virtual power plant, a readable storage medium and a program product, and relates to the technical field of computer software. According to the invention, the accuracy and practicability of the test result can be improved, and a powerful guarantee is provided for safe, reliable and efficient operation of the virtual power plant. The method comprises the following steps: in response to a virtual power plant test application instruction from a client, performing qualification and data auditing on a to-be-tested target virtual power plant; if the audit result of the qualification and data audit is passed, determining a target test item in the plurality of candidate test items, and formulating a function test scheme corresponding to the target test item; the candidate test items comprise a communication interface test, an operation platform test and an adjustable capability test; sending the function test scheme to a test system, so that the test system performs scheme auditing on the function test scheme; and if an audit result of the scheme audit is passed, executing a function test scheme on the target virtual power plant, and recording a generated test result.

The invention relates to the technical field of vehicle-mounted control platform testing, and discloses a joint debugging test system and method for a vehicle-mounted control platform, and the method comprises the steps: firstly obtaining historical joint debugging test record data of a user, determining a test period, constructing a data set, and then determining a periodic user characteristic data set according to a personalized rule; then scene features are extracted, a path is constructed, and optimal data are determined through analysis and scoring; taking scene feature path nodes of the optimal data as reference groups, analyzing adaptive scene features, and determining a recommendation scoring range; and then screening and pushing test data according to the scoring range, and realizing periodic automatic updating. The system comprises a test record acquisition module, a scene feature processing module, a test adaptation recommendation analysis module and a feedback updating module. According to the method and the system, historical data are effectively utilized, scientific analysis, personalized recommendation and flexible periodic updating of a test scene are realized, and the joint debugging test efficiency and accuracy are improved.

The invention discloses a server performance test method and device based on docker containerization, a server is communicated with a workstation through network data, the workstation is provided with a docker platform, the test method comprises the following steps: starting a docker platform engine of the workstation, respectively running preset test scripts on the basis of a plurality of containers of the docker platform, and starting the docker platform engine of the workstation; the preset test script is used for simulating data communication between the client and the server; obtaining a running state detection parameter result of the server; and evaluating the performance of the server based on the running state detection parameter result. By creating a plurality of containers on the docker platform, concurrent access conditions of clients of different scales can be easily simulated, a high-performance physical machine does not need to be relied on to deal with large-scale concurrent test requirements, only a corresponding number of containers need to be started as required, the running states of servers in various scale scenes can be simulated more truly, and the test efficiency is improved. And a test result is more suitable for an actual application scene.

The utility model discloses a three-dimensional platform test tube clamping system which comprises a support, and a longitudinal track, a transverse track, a vertical track and a clamping jaw mechanism are arranged on the support. The clamping jaw mechanism comprises a clamping jaw main body and a clamping jaw assembly; the clamping jaw assembly comprises a clamping jaw support, a gear is rotationally matched with the clamping jaw support, two racks are connected to the gear in a meshed mode, the racks and the clamping jaw support are in linear sliding fit in the horizontal direction, and the two racks are parallel to the sliding direction of the clamping jaw support. Clamping jaws for grabbing test tubes are fixedly arranged at the bottom ends of the two racks; a grabbing motor used for driving the gear to rotate is arranged on the clamping jaw support. According to the utility model, the gear and the rack are used for driving the clamping jaws to carry out clamping motion, so that the linear clamping and loosening actions of the clamping jaws are ensured, the swinging space of the existing four-jaw manipulator is not needed, the operation in a narrow space is convenient, a test tube is easy to grab, the time required for grabbing the test tube is shortened, and the risk of sample damage is reduced.

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 utility model relates to the field of testing, and provides a heating cover body and a testing device. The testing device comprises a heating cover body and a testing platform, at least one storage device is inserted into the test platform, and the test platform is used for testing the inserted storage device. The heating cover body comprises a main body. The main body comprises at least one heating cavity. The storage device is partially accommodated in the heating cavity. At least one heating structure and at least one fan are arranged in the heating cavity. The main body comprises a top plate and a plurality of side plates formed by vertically extending the edge of the top plate downwards. The top plate is provided with at least one opening. The fan is arranged at the opening. The heating structure is used for heating air in the heating cavity. And the fan is used for driving air to circularly flow in the heating cavity.

The invention belongs to the technical field of aviation electromechanics, provides an embedded software virtualization fault injection method, and relates to the field of embedded software test verification. The virtualized fault injection method of the embedded software mainly comprises the following steps: constructing an integrated digital system simulation and verification platform of the embedded software, and testing the fault tolerance of the embedded software to be tested based on the platform; constructing a data interface for communication and data interaction with the embedded software to be tested, wherein the data interface comprises a communication protocol and a corresponding relationship between each physical quantity; the method comprises the following steps: establishing a bottom layer fault injection tool for a virtualization system, such as CPU, memory and file system faults, establishing a virtualization management mechanism layer fault injection tool, acquiring normal external excitation from a data interface suite, and replacing the normal external excitation with error data based on testing, so as to realize the testing of virtualization fault injection. According to the method, the accuracy and the error-tolerant rate of embedded software test verification can be effectively guaranteed.

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 invention belongs to the field of helicopter fatigue test design, and relates to an upper platform test load spectrum compilation method. The method comprises the following steps: completing task segment division according to task requirements and flight states in a helicopter task profile; ranking the non-deterministic states in each task segment according to a randomness principle; the sorted states are listed into corresponding calculation loads, rain flow is carried out, and a preliminary test low-cycle load spectrum is obtained; according to actually measured load data of key parts of the upper platform, a low-cycle load spectrum is compiled based on a mission profile, a high-cycle load spectrum is compiled by rain flow in a state, and actually measured high and low-cycle load spectrums are obtained; based on the actually-measured high-cycle load spectrum and the actually-measured low-cycle load spectrum, the high-cycle damage ratio and the low-cycle damage ratio under the upper platform service life requirement are compared, and the high-cycle load ratio and the low-cycle load ratio And amplifying the load in the initial low-cycle load spectrum according to the ratio to obtain a test load spectrum considering high-cycle damage.

The invention relates to the technical field of performance testing, and discloses an equipment reliability testing system which comprises a refrigeration assembly, a testing assembly and a signal processing assembly. The refrigeration assembly comprises a vacuum container and a cold conduction platform arranged in the vacuum container; the test assembly comprises at least one test unit in thermodynamic connection with the cold conduction platform; wherein at least one test unit comprises a magnet exciting coil and a mounting table, and the mounting table is used for mounting tested equipment; the signal processing assembly is connected with the excitation coil; and when the reliability of the tested equipment is tested, the signal processing assembly is also connected with the tested equipment. By arranging the vacuum container, arranging the cold conduction platform in the vacuum container to guide the cold energy to the at least one test unit, and arranging the magnet exciting coil for the at least one test unit, a vacuum, low-temperature and magnetic field multichannel test environment is provided for the superconducting quantum interference device, so that the reliability test of the superconducting quantum interference device is realized.

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.

The present invention relates to the field of vehicle control platform testing technology, and discloses a joint debugging test system and method for a vehicle control platform. The method first obtains user historical joint debugging test record data, determines the test cycle and constructs a data set, and then determines the periodic user characteristic data set according to personalized rules; then extracts scene features, constructs paths, analyzes and scores to determine the optimal data; groups the scene feature path nodes of the optimal data as a benchmark, analyzes the adapted scene features, and determines the recommended score range; then filters and pushes test data according to the score range, and realizes automatic periodic updates. The system includes test record acquisition, scene feature processing, test adaptation recommendation analysis, and feedback update modules. The method and system effectively utilize historical data to realize scientific analysis of test scenarios, personalized recommendations, and flexible periodic updates, thereby improving the efficiency and accuracy of joint debugging testing.

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 invention discloses a comprehensive test bench for gear fatigue life, which comprises a supporting platform, a testing component and a controller, wherein two first supporting plates and a motor are fixedly connected to the supporting platform, the first supporting plates are rotatably connected with a first rotating shaft, a driving gear is fixedly connected with the first rotating shaft, and the motor is in transmission connection with the first rotating shaft; the testing component comprises a torque loader, which is fixedly connected to a supporting platform, and a bottom plate is arranged on the supporting platform; the bottom plate is arranged on the supporting platform through a positioning mechanism, and a second rotating shaft is rotatably arranged on the bottom plate; the second rotating shaft is fixedly connected with a test gear, and the torque loader is in transmission connection with the second rotating shaft; the supporting platform is fixedly connected with an axial force applying mechanism and a radial force applying mechanism; the axial force applying mechanism is arranged corresponding to the second rotating shaft, and the radial force applying mechanism is arranged corresponding to the bottom plate; the controller is fixedly connected to the supporting platform, and the invention can not only realize torque loading, but also load radial force and axial force.

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 present invention belongs to the technical field of autonomous driving testing, and specifically relates to a multi-platform linkage testing method for autonomous driving simulation based on offline task allocation. It includes: First, mathematically express the offline task allocation of multi-platform linkage testing, and clarify the definitions of key elements, including the definition of test duration elements and the definition of test load elements; Second, establish test task allocation constraints, including test accuracy constraints, test priority constraints, and test load constraints; Third, use the particle swarm algorithm to solve the task allocation results, so as to obtain the specific tasks of different test platforms. The present invention realizes the linkage testing of multiple simulation test platforms through test task allocation. This method can solve the linkage testing method when there are multiple test platforms in the autonomous driving system by setting test process allocation constraints and solving; since the test platform accuracy is considered simultaneously during the task allocation process, and the testing capabilities of multiple platforms can be utilized, the testing efficiency can be improved while ensuring the testing accuracy.

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.

A method for simulating the underwater hoisting and deployment test of a deep-sea operation platform. S1: Install the underwater hoisting and deployment simulation test device for the deep-sea operation platform, and conduct the underwater static equilibrium of the underwater platform test model; then conduct the debugging of the maneuvering control parameters in still water. S2: Conduct the hovering positioning control debugging during the cable retraction process. The initial state of the model maintains a set height of -0.3 m, the pitch angle and roll angle are maintained at 0°, the initial cable length is 4 m to 6 m, and the underwater electronic cabin model is placed loosely on the bottom of the pool, and the cable retraction speed is set. S3: Start the thruster, keep the model at the set height, the pitch angle and roll angle are maintained at 0°, retract the cable at the set speed, and respectively debug the automatic control parameters of pitching, rolling and heaving to achieve satisfactory accuracy. S4: After completing a certain set cable retraction speed, change the cable retraction speed, and respectively debug the automatic control parameters of pitching, rolling and heaving to achieve satisfactory accuracy.

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.