190 results about "Testbed" patented technology

Disclosed are a high-performance loosely-coupled multi-modal data fusion system for a smart driving environmental perception system and a vehicle-mounted device, comprising: a fusion detection model based on a modality-independent feature interaction strategy, which is configured for converting a LiDAR point cloud, a camera image, and a millimeter-wave radar point cloud into a unified bird's-eye view representation, and performing multi-modal fusion; and a fusion tracking model based on a motion-appearance feature cascaded coupling data association strategy, which is configured for performing subsequent trajectory tracking and matching according to multi-modal fusion feature information. A VoD data set and a K-Radar data set are selected for training, verifying, and testing the comprehensive performance of the models, and a TensorRT accelerated inference model is applied, then quantized, and deployed to a vehicle-mounted computational testing platform. The present invention is compatible with mainstream sensor deployment solutions, and achieves the efficient complementary fusion of multi-source heterogeneous sensor information, significantly improving the reliability, accuracy, and adaptability of vehicle-mounted perception systems, thereby effectively responding to extreme operating conditions such as complex traffic scenarios and inclement weather.

A new multi-edge smart community system consisting of communication, computing, and energy harvesting models, where the task execution delay and energy consumption are formalized as the optimization objectives under multiple constraints. For single-edge scenarios, we propose an improved twin-delayed DRL-based algorithm. For multi-edge scenarios, we develop a novel personalized FL-based training framework for DRL. Using the real-world settings and testbed, extensive experiments are conducted to validate the effectiveness of the proposed PFR-OA. The results show that the PFR-OA achieves better trade-offs between delay and energy consumption and exhibits higher task execution success rates than benchmark methods under different scenarios. Notably, the PFR-OA reaches a faster convergence speed compared to advanced DRL-based and FRL-based methods. Moreover, we further verify the practicality and superiority of the PFR-OA via real-world testbed experiments.

The invention discloses a big data prediction model intelligent ammonia spraying control method and system suitable for kiln flue gas denitration. According to the ammonia spraying control method, historical and real-time data of multiple parameters such as the fuel gas flow of the glass kiln are collected firstly, the NOx amount is predicted through modeling of the LSTM-GRU hybrid neural network, the ammonia spraying amount is calculated through self-adaptive control, and the accuracy is ensured through two-stage correction. And the calculated ammonia spraying amount is transmitted to a production master control system to adjust an ammonia supply valve, and automatic alarm and manual control are switched in case of failure. The system comprises a data acquisition module, an intelligent prediction module, a self-adaptive control module and the like, and further comprises a dynamic catalytic reaction simulation test platform for optimization. According to the invention, intelligent automatic control of the big data model is realized, the ammonia spraying amount is accurately adjusted, the denitration efficiency and the ammonia utilization rate are improved, the operation cost is reduced, and the system reliability and stability are enhanced.

The invention belongs to the field of automatic driving test, and provides an end-to-end automatic driving system closed-loop confrontation test method based on a world model, and the method comprises the steps: building an end-to-end automatic driving system test platform based on the world model, providing end-to-end automatic driving system perception input information, and carrying out the modeling of a camera sensor, the accurate alignment among the multi-modal scene information is realized; constructing a traffic flow module, and providing map and scene global state information; a traffic vehicle multi-agent collaborative confrontation strategy balancing strategy convergence and strategy diversity is designed, a dense reward function is constructed and matched with an agent heterogeneous strategy adaptive adjustment method, a global exploration target is planned as a whole, and the test efficiency is improved; all the modules are integrated, an end-to-end automatic driving system to be tested is integrated, and efficient closed-loop testing is achieved. According to the method, efficient testing of the performance of the end-to-end automatic driving system can be achieved, the robustness and safety of the end-to-end automatic driving system can be evaluated, and functional defects of the system can be rapidly excavated.

The invention discloses an intelligent automobile interpretable abnormity diagnosis method and system, and relates to the technical field of intelligent traffic. The method comprises the steps of collecting multi-dimensional sensor data based on an intelligent automobile test platform, and constructing a directed causal graph and a causal adjacency matrix which are used for describing a causal relationship between the sensor data; designing a causal constrained graph attention mechanism based on the causal adjacency matrix, and constructing a causal constraint enhanced graph attention anomaly diagnosis model; and based on the directed causal graph and the graph attention anomaly diagnosis model, constructing a hierarchical anomaly diagnosis strategy integrating a feature reconstruction error, a variable causal relationship and a graph attention network weight, positioning an anomaly root cause and identifying a propagation path of the anomaly in the sensor network. According to the invention, the problems of false correlation and lack of exception explanation ability of graph attention network learning in the prior art can be overcome, and reliable exception detection and root cause diagnosis of intelligent automobile multi-sensor data are realized.

The invention relates to the technical field of edge computing, electric automobile testing and the like, and provides an electric automobile instrument testing method based on end-cloud collaboration, which comprises the following steps of: constructing a lightweight virtualized resource isolation environment at an edge computing node, loading signal generation, communication agency and state monitoring micro-service; a test platform with elastic capacity expansion and contraction and fault self-recovery capability is formed; historical test data are collected at a cloud end, and an equipment health degree prediction model is trained and deployed to an edge node to support a local intelligent test; constructing a dynamic test service chain, generating and pre-distorting and compensating an enhanced test signal, and then acting the enhanced test signal on the instrument; through multi-modal signal acquisition and unified preprocessing, in combination with wavelet packet decomposition and a deep neural network, high-dimensional feature extraction is realized, a test report containing a health trend is finally output, and a test process is actively intervened based on a trend prediction result. According to the method, the authenticity of test signals, the health assessment precision and the safety and efficiency of the test process are effectively improved.

The invention belongs to the technical field of unmanned aerial vehicle testing, and discloses an air-ground unmanned aerial vehicle wind resistance performance testing platform based on a physical information neural network. The air-ground unmanned aerial vehicle wind resistance performance test platform is composed of a wind field simulation system, a physical information neural network control system and an unmanned platform indoor positioning system. The wind field generated by the wind field simulation system is accurately controlled based on the physical information neural network control system, the complex wind field required by the air-ground unmanned aerial vehicle in the wind resistance test process of the air and ground subsystems is simulated, and the uniformity of each index of the wind field is ensured.

The invention discloses an ATS controller integration test platform, and relates to the technical field of thermal management of automobiles and electronic equipment, and the ATS controller integration test platform comprises a test platform case which comprises an upper computer, a test platform MCU and a communication system. The ATS controller integrated test platform provided by the embodiment of the invention can simulate a complex working condition, realizes comprehensive test of the ATS controller, greatly improves the test range, can evaluate the performance of the ATS controller more comprehensively compared with the test of a single function in the prior art, and improves the test efficiency by simulating a real working environment. The communication between the whole vehicle and the ATS controller is accurately simulated by utilizing RS485 communication and a CAN bus protocol, meanwhile, the working condition can be truly restored through the temperature sensor, the pressure sensor and the flow sensor, the performance of the ATS controller can be accurately evaluated, the reliability of a test result is ensured, and through the arranged upper computer, the reliability of the ATS controller is ensured. The possibility of errors caused by human intervention is reduced, and the testing efficiency is improved.

A network function configuration and test generation framework are configured to generate a test script indicative of a configuration and test cases for verifying a virtual function implemented in a virtualized computing environment. A test input is received that encodes information for verifying a network function. The information includes identification of a test tool, a target testbed for testing the network function, and network information including parameters for network conditions to be operational during testing of the network function. A data parser translates and formats the test input. The formatted test input in input to a topology discoverer configured to identify a network topology of the testbed and which network functions deployed on the testbed are emulated and which network functions deployed on the testbed are real. A configuration generator generates a configuration file usable to configure applicable network functions and their functionalities.

A network function configuration and test generation framework are configured to generate a test script indicative of a configuration and test cases for verifying a virtual function implemented in a virtualized computing environment. A test input is received that encodes information for verifying a network function. The information includes identification of a test tool, a target testbed for testing the network function, and network information including parameters for network conditions to be operational during testing of the network function. A data parser translates and formats the test input. The formatted test input in input to a topology discoverer configured to identify a network topology of the testbed and which network functions deployed on the testbed are emulated and which network functions deployed on the testbed are real. A configuration generator generates a configuration file usable to configure applicable network functions and their functionalities.

The invention discloses an urban traffic simulation model evaluation method and system based on data driving. The method comprises the following steps: detecting and tracking an intelligent body target in a video stream in real time through a camera, and outputting a target category, a position and a tracking identifier; wherein the intelligent body targets are vehicles and pedestrians; performing multi-modal data association and time-space consistency modeling on the motion trail of the intelligent body target; through a data-driven optimization algorithm, a road scene simulation technology is fused, and complex traffic test conditions are dynamically restored; carrying out authenticity measurement on a simulation result by utilizing a dictionary evaluation system, and quantifying speed distribution, density distribution and track error indexes; the simulation data are fed back to the test platform, the model parameters are optimized, and a virtual test report is generated. According to the invention, road testing is partially replaced and complemented with the road testing, so that the testing period can be greatly shortened, the testing cost can be reduced, and the life safety of testing personnel can be protected.

The invention discloses a hardware-in-the-loop-based seat adjustment testing device and an automatic parameter calibration method. The device comprises an upper computer, a CAN board card, an HIL test platform, a seat VIU controller and a to-be-tested seat. According to the method, the whole travel of a seat is divided into non-uniform density position intervals, PID parameters of all the intervals are dynamically optimized based on a step response curve, and a calibration parameter MAP is generated after preset performance constraints are met. The core innovation lies in that the HIL platform simulates the motor load and mechanical resistance characteristics with high precision; an XCP protocol is adopted to realize uninterrupted online parameter refreshing; and a partition calibration strategy is combined with a dead point buffering mechanism to improve the control precision and safety. The seat calibration efficiency and precision are remarkably improved, and the method is suitable for development of an automobile seat control system.

The invention discloses a performance test platform and test method for a thermal defect detection device of a contact network. The platform comprises a thermal defect detection module, a contact network simulation device, a Sudoku temperature measurement test module and an intelligent control platform, the thermal defect detection module, the contact network simulation device and the Sudoku test module are respectively connected with the intelligent control platform. The trolley is controlled by the intelligent platform to move to simulate operation of the detection vehicle, the sliding table is driven to accurately position the black body to a sudoku designated position, the temperature of the heating piece is adjusted to simulate the heating defect of the contact network component, and automatic testing of five functions is achieved. According to the invention, the problems of low manual test efficiency and insufficient sampling coverage rate are solved, and the test efficiency is improved.

The invention is suitable for the technical field of noise testing, and particularly relates to a noise testing method and system for an electric drive assembly of a new energy automobile, and the method comprises the steps: constructing an electric drive noise testing platform, delimiting a testing region, drawing a traffic network distribution diagram in the testing region, marking all road sections, and collecting a live-action image of each road section. Generating environment data, wherein the environment data at least comprises road condition information, types and traffic flow; and through the test platform, obtaining the data reading authority of the test vehicle, selecting the deployment position of the pickup device at the electric drive assembly, collecting audio data, positioning the real-time position of the test vehicle, and passing through a preset timestamp. By generating the test report, the road section corresponding to the noise can be intuitively displayed, and the noise data and the road attribute are subjected to correlation analysis, so that the concentrated area of the abnormal noise is quickly identified, and the accuracy and readability of the noise test result are improved.

The application provides a piezoelectric energy feedback suspension equivalent stiffness and damping measurement method and device, and relates to the technical field of suspension stiffness and damping measurement. The method comprises the following steps: building a test platform; simulating the motion process of the excitation gear and the piezoelectric cantilever beam when the piezoelectric energy feedback suspension vibrates, obtaining the vibration displacement of the free end of the piezoelectric cantilever beam, and measuring the voltage signal generated by the piezoelectric cantilever beam during the vibration process; obtaining the speed change curve of the free end of the piezoelectric cantilever beam based on the change of the vibration displacement with time; drawing the voltage change curve of the piezoelectric cantilever beam during the vibration process according to the voltage signal; obtaining the continuous stiffness of the piezoelectric cantilever beam, so as to obtain the equivalent stiffness and equivalent damping of the piezoelectric energy feedback suspension. The application can measure the equivalent stiffness and damping of the piezoelectric energy feedback suspension, and provides a theoretical basis for the dynamic characteristic analysis and real vehicle application of the piezoelectric energy feedback suspension.

The invention relates to the technical field of drilling machine and tool testing, in particular to an indoor real simulation test platform for a drilling tool core barrel for an extra-deep well, which comprises a base station, a cabin body, a cabin cover, a hydraulic motor, an electric heater, a core barrel mounting assembly and a third transmission shaft, and the specific structure of the core barrel mounting assembly is as follows: a core barrel to be tested is mounted between a third sleeve and a core shaft; two ends of the to-be-tested core barrel are pressed by end covers, the end covers are fixedly connected to two ends of the third sleeve, and the end cover on the left side is fixedly connected with the right end of the third transmission shaft through a coupler; and the right end of the mandrel is fixedly connected with the fixed tailstock. The third transmission shaft drives the to-be-tested core barrel to rotate, the core barrel rotates and rubs on the surface of the mandrel, and the wear resistance of the inner wall of the core barrel can be tested. The performance test and the service life test of the core barrel of the drilling machine can be completed in a real environment.

The utility model discloses an agricultural machinery V-shaped belt pulling force working condition simulation test platform, and relates to the belt test platform technology field, the agricultural machinery V-shaped belt pulling force working condition simulation test platform comprises a test board body, a moving mechanism is installed on the test board body, the moving mechanism is used for adjusting the distance between V-shaped belts, and a dismounting mechanism is installed above the moving mechanism; the dismounting mechanism comprises a rotating shaft, a sliding groove is formed in the rotating shaft, an L-shaped connecting rod is slidably connected into the sliding groove, a reset spring is arranged in the rotating shaft, one end of the reset spring is fixedly connected with the inner wall of the rotating shaft, and the other end of the reset spring is fixedly connected with the L-shaped connecting rod. According to the utility model, by pressing the L-shaped connecting rod downwards, the fixation of the first test belt pulley can be relieved, the rapid disassembly and replacement are realized, and the test belt pulleys with different sizes can be rapidly replaced according to requirements, so that the influence of the belt pulleys with different radiuses or types on the working performance of the V-shaped belt can be simulated and tested.

A Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation is provided. To promote the information flow in edge-client collaboration and extract more generalized potential relationships between clients. In SpreadFGL, an adaptive graph imputation generator incorporated with a versatile assessor is first designed to exploit the potential links between subgraphs, without sharing raw data. Next, a new negative sampling mechanism is developed to make SpreadFGL concentrate on more refined information in downstream tasks. To facilitate load balancing at the edge layer, SpreadFGL follows a distributed training manner that enables fast model convergence. Using real-world testbed and benchmark graph datasets, extensive experiments demonstrate the effectiveness of the proposed SpreadFGL.

The utility model discloses an ultrafiltration membrane test platform device, which belongs to the technical field of ultrafiltration membrane test platform devices, and is characterized by comprising a bottom plate, the top of the bottom plate is fixedly connected with a simulation assembly, the bottom of the simulation assembly is in threaded connection with an ultrafiltration membrane body, and the top of the bottom plate is fixedly connected with a detection assembly; the simulation assembly comprises a box body, the top of the box body is provided with a first cavity and a plurality of second cavities, the top of the box body is rotatably connected with a top cover, and the top of the top cover is provided with a first valve and a second valve. The problems that most of existing sewage is relatively single, different conditions or different turbidity cannot be simulated conveniently, and certain limitation is caused are solved.

1. Name of this design product: Vehicle Thermal Management Simulation and Testing Platform. 2. Purpose of this design: To simulate the operating conditions of a vehicle thermal management system. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The utility model relates to the technical field of a novel feeder terminal factory test operation table, in particular to a novel feeder terminal factory test operation table which comprises an operation table body and a lifting table arranged at the bottom of the operation table body. A state indicating lamp, a test loop switching button, an adjustable direct-current power supply, a secondary withstand voltage tester, an emergency stop button, a computer display, a three-phase standard source, a test terminal strip and a computer host are sequentially arranged from top to bottom, and a power switch and an aviation socket are arranged on the side face. The aviation socket is electrically connected with the tested feeder terminal; the test platform is provided with a feeder terminal clamp. The platform design can adapt to use in various scenes, the detection efficiency is improved, the professional requirement and the working intensity of inspectors are reduced, the cost of the inspectors is properly reduced, and the requirements of technical indexes and economic indexes are met.

The invention discloses a telemetering page making method and device suitable for a satellite full-link test. The method comprises the following steps: respectively determining a preset template corresponding to each type of telemetering page; for each subsystem of the satellite, using preset software to edit names and layouts of telemetering page parameters according to the type of the telemetering page and a corresponding preset template to obtain an initial file in a first format; based on a whole satellite test platform, converting the initial file into a second format file, and generating an initial telemetering page; modifying and verifying each initial telemetering page based on the whole satellite test platform to obtain a final telemetering page meeting a set requirement; converting the final telemetering page into a final file in a second format; and transmitting the final file to a flight control center, and taking the final file as a telemetering page of a satellite flight control test. According to the invention, the production efficiency and accuracy of the telemetering page can be improved.

One example method occurs at a testbed transpiler of a network test system. The method comprises: receiving test configuration information associated with a test session for configuring a test infrastructure, wherein the test infrastructure includes a switching fabric emulator comprising at least one switching application-specific integrated circuit (ASIC) or programmable switching chip, wherein the test configuration information includes information for configuring the switching fabric emulator to emulate one or more emulated switches; generating, using input regarding an updated test infrastructure and the test configuration information, updated test configuration information for configuring the updated test infrastructure, wherein generating the updated test configuration information includes transpiling or translating a portion of the test configuration information to generate configuration instructions for configuring a physical or non-emulated testbed element; and providing the updated test configuration information to the updated test infrastructure or a related test configuration manager.

The invention discloses an automatic parking test method, system and device based on virtuality and reality combination and a storage medium. The method comprises the following steps: establishing a test system comprising a virtual parking simulation environment module and a real vehicle test platform; loading the initial state parameters of the real vehicle and the layout parameters of the virtual scene; timestamp synchronization and state alignment of the real vehicle and the virtual scene are completed; starting a test cycle, collecting sensor data and dynamic state data of a real vehicle in real time, and synchronously calculating a virtual traffic flow state in the virtual parking simulation environment module; the sensor data of the real vehicle and the virtual traffic flow state of the virtual parking simulation environment module are fused to generate fused sensing data containing real and virtual information; a parking path is planned according to the fused sensing data, a vehicle control instruction is generated, and the vehicle control instruction is sent to a bottom layer controller of the real vehicle to drive the real vehicle to move.

The present invention relates to a QoS-aware service migration method in an IoV system based on CVX deep reinforcement learning. Firstly, the optimization problem of service migration and resource allocation is decoupled into two sub-problems; then, a new actor-critic-based asynchronous-update deep reinforcement learning method is designed to explore the optimal service migration, where a delayed-update actor makes decisions of service migration and a one-step-update critic evaluates the decisions to guide the direction of the policy update; and on this basis, an optimal resource allocation method for an MEC server based on convex optimization is proposed to achieve the optimal resource allocation. According to the method of the present invention, extensive experiments are conducted based on a real-world testbed and a dataset of city vehicle trajectories, thereby verifying the feasibility and effectiveness of SeMiR. Compared with benchmark methods, the SeMiR of the present invention has the best performance of service migration under various scenarios.

The invention discloses a tire measuring device of a four-wheel aligner in an automobile test platform, and belongs to the technical field of automobile test platforms. The positioning instrument comprises a positioning instrument body, a detection shooting assembly, an analysis assembly and a lifting assembly, a simulation assembly is fixedly installed on the upper side of the positioning instrument body, the simulation assembly comprises two through grooves formed in the upper side of the positioning instrument body, a hydraulic rod is fixedly connected into the positioning instrument body, and the output end of the hydraulic rod is fixedly connected with a movable plate. In the detection process of a wheel tire, the motor can be started, the control panel is driven to move through a series of transmission structures, the control panel abuts against the wheel and compresses the wheel, simulation of the use environment of the wheel is formed, and in the process, the pressure of the control panel on the wheel is continuously changed, so that a better simulation effect can be formed; and the accuracy of the wheel detection result can be further improved.

A method includes obtaining a set of wireless statistics of a wireless communication device and a set of hardware-related information of the wireless communication device. The method further includes determining a set of test results of a testbed system based on the set of wireless statistics and the set of hardware-related information by configuring the testbed system based on the set of wireless statistics and the set of hardware-related information. The method further includes updating a set of decision parameters of a wireless configuration decision model using a machine learning model based on the set of test results. The method further includes sending the updated set of decision parameters to the wireless communication device, wherein the wireless communication device configures a wireless configuration parameter based on an instance of the wireless configuration decision model configured with the updated set of decision parameters.

The invention provides a virtual test platform and a test method. The virtual test platform comprises a local test end and a cloud test end, the local test end is used for creating and operating a virtual electronic control unit; the cloud test end is in communication connection with the local test end, and a simulation test execution environment is configured in the cloud test end; and the cloud test end is used for carrying out simulation test on the virtual electronic control unit according to a test case based on the simulation test execution environment. According to the virtual test platform provided by the embodiment of the invention, the virtual test platform is not influenced and limited by the hardware of the electronic controller in a simulation test process, the hardware of the electronic controller does not need to be subjected to customized development, and the simulation test efficiency is improved.

An air to ground (ATG) communication system testing platform may be configured to operably couple a base station to an aircraft base radio in a lab environment. The testing platform may include a position simulator and a channel simulator. The position simulator may be configured to generate simulated aircraft position information and communicate the simulated aircraft position information to an aircraft base radio and a base band unit of the base station. The channel simulator may operably couple a remote radio head of the base station to the aircraft base radio, and may be configured to emulate channel conditions with respect to transmission of signaling generated by the remote radio head for communication to the aircraft base radio based on the emulated channel conditions.

The invention relates to the technical field of aircraft testing, in particular to a multifunctional aircraft testing platform which comprises a main body plate, a wind tunnel mechanism is arranged on the upper side of the main body plate, a restraining mechanism is arranged at the position, corresponding to the interior of the wind tunnel mechanism, of the upper side of the main body plate, and a driving mechanism is arranged in the main body plate; a drainage groove and a diversion groove are formed in the air guide barrel, an air outlet hole and an air guide hole are formed in the side face of the air guide barrel, a support rod is fixedly installed on the lower side of the air guide barrel, and a first inner cavity and a second inner cavity are formed in the main body plate. The wind tunnel mechanism, the constraint mechanism and the driving mechanism are arranged, the one-machine multi-testing function can be achieved, multi-direction wind tunnel combined testing can be conducted on an aircraft, dynamic swing parameter detection can be conducted on the aircraft in the testing process, constraint landing protection can be generated in the aircraft testing process, and in addition, due to the driving integrated design, the equipment integration size is small, and the reliability is high. And the occupied space is saved.