146 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.

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.

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 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 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 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.

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.

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 application relates to the field of aerospace technology, in particular to a lunar surface plume dust diffusion characteristic ground calibration system and method, which comprises a vacuum chamber, a solar simulator, a test platform, a dust raising device and a measuring device, wherein: the test platform is arranged in the interior of the vacuum chamber; the measuring device is arranged on one side of the interior of the vacuum chamber and comprises a dust raising sensor, a control circuit and an analysis display module; the dust raising sensor is arranged on the test platform through a rotary table and is electrically connected with the analysis display module through the control circuit; the dust raising device is arranged on the test platform in the interior of the vacuum chamber and is used for forming a dust raising area; and the solar simulator is arranged outside the vacuum chamber and is used for simulating a solar light source. The application can realize quantitative measurement of dust raising concentration under different angles and different concentrations, can satisfy calibration of dust raising concentration of all moon exploration missions, and can realize low-cost and high-reliable dust raising concentration calibration ground experiment with a calibration error of less than 15%.

The utility model belongs to the technical field of aircraft ground tests, and particularly relates to a multifunctional simulation test platform. Comprising a socket, a first coupler, a second coupler, a box-type coupler and a test turntable, the socket, the first coupler and the second coupler are sequentially connected through a bus cable and are used for 1553B bus communication; the sub-line end of the second coupler is connected with inertial navigation, so that the simulation test of the inertial navigation scene without going to the rotary table is realized; the bus end of the second coupler is connected with a box-type coupler, the box-type coupler is connected with a 1553B interface under the rotary table, the 1553B interface on the rotary table is connected with a bus interface at one end of the box-type coupler on the rotary table, a bus interface at the other end of the box-type coupler on the rotary table is connected with a terminal resistor, and the sub-line end of the box-type coupler on the rotary table is connected with an inertial navigation. The simulation test of the inertial navigation upper turntable scene is realized. According to the utility model, hardware resources and preparation time before test are saved, and project development requirements are ensured.

1. Name of the product in this design: Thrust Test Platform for Turbojet and EDF Engines. 2. Purpose of this design: This design is used to measure the thrust ratio of the EDF engine thrust test platform. 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 technology involves a method, medium, and testbed scoring cloud-application Quality of Experience (“QoE”) by emulating a mesh network at building locations inside of a building. The testbed includes test environment devices comprising test chambers holding respective stations (“STAs”) that run applications, or Access Points (“APs”) coupled in a mesh, respective connective cables between pairs of test environment devices, the cables reproducing attenuation between building locations, and at least one of the APs serving as a gateway to an internet server. QoE scoring includes a controller causing multiple types of applications on the STAs to generate traffic by executing test exchanges with the server. The testbed measures traffic produced by the test exchanges and scores the traffic streams measured for each of the test sequences of exchanges by combining the measurements into traffic stream scores and by combining the traffic stream scores for the application into a cloud-application QoE score.

The invention belongs to the technical field of agricultural machinery testing, and provides a portable and movable testing platform suitable for a seeding and reseeding device, which comprises a movable rack, a sliding block horizontally connected to the movable rack in a sliding manner, and a seed metering device mounting mechanism arranged on the movable rack, the sliding block is located above the leakage-proof synchronous conveying belt, the sliding direction of the sliding block is perpendicular to the conveying direction of the leakage-proof synchronous conveying belt, and the top of the sliding block is detachably connected with a mounting piece used for fixing various types of seed sowing devices; the sand base simulation assembly comprises a sand leaking box fixedly connected to the movable rack, the sand leaking box is arranged on the side, away from the output end of the leakage-proof synchronous conveying belt, of the seed metering device, and the output end of the leakage-proof synchronous conveying belt is provided with a sand circulating mechanism used for circularly transporting sand output by the leakage-proof synchronous conveying belt into the sand leaking box. The device can effectively inhibit the bounce of the seeds, realizes the lossless cyclic utilization of the sand and the seeds, and can be adapted to various seed sowing devices.

The invention provides a complex test scene generation method for automatic driving, and the method comprises the steps: collecting natural driving data in a real world complex scene, and constructing a complex scene feature database containing multi-view information; based on data driving and mechanism analysis hybrid modeling, a driving environment model and a rare target object model under severe weather and electromagnetic interference environments are established; constructing a scene element semantic library by using a large model technology, analyzing an element interaction mechanism in combination with a causal graph, and establishing high-dimensional feature representation of an element coupling process; constructing a self-adaptive extraction, high-coverage derivation and accelerated generalization model of the complex scene; developing a scene data conversion algorithm, and automatically constructing a universal complex environment key test scene library; and outputting to a digital-physical fusion test platform for system test verification. According to the method, the test scene covering various complex environments and rare events can be efficiently and highly simulated, and the comprehensiveness and reliability of verification of the automatic driving system are improved.

This invention provides a 5G-based method, device, and medium for testing vehicle-mounted TBOX protocols, relating to the field of vehicle-mounted TBOX testing. The method includes: connecting the TBOX device under test to a switch via a vehicle-mounted Ethernet converter; connecting the switch to a protocol simulation test platform; configuring the TBOX device under test and the protocol simulation test platform to the same network segment; the protocol simulation test platform identifying the vehicle-mounted interaction protocol running on the TBOX device under test to generate a protocol simulation instance; the protocol simulation test platform sending preset test cases corresponding to the protocol simulation instance to the protocol simulation instance; and the protocol simulation instance performing protocol interaction tests on the TBOX device under test according to the test cases to obtain the test results corresponding to the TBOX device under test. This achieves the effect of "write once, cover all protocols," improving the automation and efficiency of vehicle-mounted TBOX testing.

The invention belongs to the technical field of spacecraft ground test equipment, and particularly relates to a microgravity simulation device for spacecraft component ground test, which comprises a base, an air floatation support mechanism, an ultrasonic standing wave stabilization mechanism, a self-adaptive clamping mechanism, a servo drive error compensation mechanism, a control system and a test platform. The air floatation supporting mechanism provides vertical non-contact supporting force to offset gravity, the ultrasonic stabilizing mechanism maintains horizontal stability, the self-adaptive clamping mechanism is adaptive to parts of multiple sizes, and the servo compensation mechanism corrects deviation in real time. The composite suspension structure is combined with PID-fuzzy closed-loop control, the simulation error is controlled within 4.0%, the defects that existing equipment is low in precision, short in time, prone to pollution and poor in universality are overcome, long-time stable simulation can be achieved, and reliable support is provided for part ground verification.

The invention relates to the technical field of data identification, in particular to a data monitoring method based on an aero-generator simulation test platform, and the method comprises the steps: obtaining a multi-dimensional vibration detection signal of a to-be-detected aero-generator; decomposing the vibration detection signal of each dimension to obtain a component signal of each dimension; obtaining a matching relationship between component signals of different dimensions; obtaining a target relationship in the matching relationship; obtaining a signal enhancement chain and a corresponding component obvious degree chain; obtaining a target signal enhancement chain; and based on the target relationship and the target signal enhancement chain, judging whether the to-be-detected aero-generator has defects. According to the method, comprehensive monitoring and fault diagnosis are carried out on the vibration performance of the aero-generator through multi-dimensional vibration detection, and precise recognition of the hidden defects of the aero-generator is achieved by combining the relation between vibration signals of the defects of part looseness, poor welding and the like of the generator under different detection methods.

The application discloses an unmanned aerial vehicle indoor simulation gas collection test platform and method, and relates to the field of unmanned aerial vehicle test technology.The test platform comprises a spraying simulation device and an unmanned aerial vehicle collection device.The unmanned aerial vehicle collection device comprises an unmanned aerial vehicle, a gas collection mechanism and a posture adjusting mechanism.The gas collection mechanism comprises a gas collecting mechanism and a gas collecting mechanism.The gas collecting mechanism comprises two groups of gas collecting assemblies and a switching gas collecting driving mechanism for driving the two groups of gas collecting assemblies to switch gas collecting.The gas collecting assembly comprises an air inlet pipe, an air outlet pipe and a collecting pump.The collecting pump is connected between the air inlet pipe and the air outlet pipe.The gas collecting mechanism comprises a storage bag, a sealing device, an automatic docking structure and a plastic sealing driving mechanism.The storage bag is connected with the air outlet pipe through the automatic docking structure.The application can provide different wind speeds to simulate various flight speeds of the unmanned aerial vehicle, provide a test means for studying gas collection and testing components, and provide a simulation flight environment for unmanned aerial vehicle test.

Example implementations described herein are directed to an application crash testing platform that tests provided applications through a machine learning algorithm. Multiple instances of the application are spawned on a cloud-based platform, wherein the machine learning algorithm provides input to each of the instances until an incident causing the application to become inoperable is reached.

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.