18results about How to "Reduce Simulation Costs" patented technology

The invention discloses an IsaacSim-based humanoid robot simulation method for a steel inspection and test laboratory, and relates to the technical field of humanoid robot simulation methods, and the IsaacSim-based humanoid robot simulation method for the steel inspection and test laboratory comprises the following steps: step 1, carrying out refined modeling on environmental elements of the steel inspection and test laboratory; step 2, integrating a humanoid robot model in an IsaacSim simulation environment; 3, configuring workflows of different tasks of the robot in the simulation scene; 4, collecting and analyzing data when the robot executes the task in the virtual environment; and step 5, feeding back an adjustment algorithm or a control parameter based on a simulation result so as to improve the adaptability and the stability of the robot in a complex laboratory environment. Through the method, a user can perform comprehensive algorithm verification in a simulation environment, including a series of key algorithms such as a control algorithm, a visual identification algorithm and a motion planning algorithm of the humanoid robot, so that the stability and effectiveness of the humanoid robot in an actual environment are ensured.

The invention relates to the field of network simulation, in particular to a lossless Ethernet simulation model and a data processing method. The lossless Ethernet simulation model comprises a switch simulation model, a terminal simulation model and a network system simulation model; the switch simulation model has a switch modeling function, a lossless Ethernet flow control function, a fault injection function, a configuration loading function and a simulation result statistics function; the terminal simulation model has a terminal system modeling function, an RDMA modeling function, a flow control function, a configuration loading function and a simulation result statistics function; the network system simulation model has the functions of simulation information import, simulation model input configuration generation, VLAN management, network topology generation, network management, fault injection, simulation report management and simulation result analysis.

The invention provides an injection type low-temperature rain and snow environment icing wind tunnel simulation test device, and the device is characterized in that an open type main air duct is arranged in a thermal insulation maintenance structure, and the open type main air duct comprises an air duct regulation and control section, an air duct gradual contraction section, an air duct test section, an air duct transition section, an air duct injection section and an air duct diffusion section which are connected in sequence; an exhaust fan is arranged at an exhaust hole in the rear end of the heat-preservation maintenance structure; a temperature sensor and a cold air diffuser are arranged in the heat preservation maintenance structure, and the cold air diffuser is connected with an external refrigeration turbine; an atomizing nozzle is arranged in the air duct regulation and control section and is connected with a spraying system; an ejector is arranged in the air duct ejection section; a test piece is placed in the air duct test section; the refrigerating turbine and the ejector are respectively connected with the refrigerating unit; the cold source control valve, the injection main flow valve, the spraying system and the temperature sensor are all in signal connection with the measurement and control system. The simulation environment can be optimized and adjusted, and high efficiency and energy saving of a wind tunnel test system are achieved while ground low-temperature rain and snow environment simulation is met.

The invention provides a drill collar taper thread finite element model construction and simulation optimization method, which remarkably improves the modeling efficiency and precision and reduces the simulation cost through a parameterized modeling technology, and comprises the following steps: constructing an initial finite element model, dividing the initial finite element model according to radial, axial and circumferential directions to form a three-dimensional cylindrical mesh model, and constructing a three-dimensional cylindrical mesh model; the widths of radial grids X of the cylindrical grid model are sequentially reduced from the drill collar body to the tooth crest; meanwhile, extracting number information of each grid node of the initial finite element model and coordinate information corresponding to the node; constructing a standard drill collar taper thread model based on parameterized features of an API standard thread series; and the node number information and the coordinate information of the initial meta-model are imported into a standard drill collar taper thread model, the node positions of the nodes of the cylinder grid model are changed node by node according to parameterized features, and a drill collar taper thread contour grid is generated.

The invention provides an XR glasses total factor fusion simulation verification platform building method, and belongs to the technical field of airborne simulation cockpit display, and the method comprises the steps: building a simulation environment sensor system working model, and obtaining sensor system model data; dividing working modes of the XR glasses according to the flight scene; constructing a simulation environment man-machine interaction and control model; based on sensor system model data and a simulation environment man-machine interaction and control model, a simulation verification environment corresponding to all XR glasses working modes is built, and an XR glasses total factor fusion simulation verification platform is built. A verification platform built by the method realizes fusion display function simulation of airborne sensor data in the XR glasses, and a total factor simulation model of the XR glasses is built; the real flight and man-machine interaction process of the fighter can be simulated, and the real degree of the simulation verification process is improved; the simulation cost can be reduced, and the pre-research function can be conveniently verified.

The invention belongs to the technical field of aviation intelligent manufacturing, and discloses a flexible aviation wire harness rigidity simulation estimation method, which comprises the following steps: firstly, splitting a wire harness assembly structure into wires and cables, a wave-proof sleeve, a braided sheath and the like, and calculating the rigidity characteristic according to the influence of geometric structure parameters and material parameters of various wires and cables on the rigidity characteristic; further refining and classifying, and carrying out a rigidity characteristic test of the material; by fully collecting test results of geometric structures and mechanical characteristics of various electric wires and cables and combining a standard electric wire rigidity calculation function and a cable bundle rigidity calculation function of flexible pipeline simulation software, a rigidity characteristic library of aviation electric wires and cables and wire harness materials can be established; and finally, based on the stiffness characteristic library, realizing analogue simulation of multiple types of flexible wire harnesses. According to the invention, the effective rigidity parameter of the wire harness assembly can be estimated based on the rigidity characteristics of the basic wire cable and the wire harness material, and the rigidity test work of the flexible wire harness is greatly simplified.

The invention relates to a fluid simulation diagram generation method and device, equipment and a storage medium, and the method comprises the steps: obtaining a designated region, designated flowing time and designated flowing direction of a fluid flowing in an initial grid, and dividing the designated region into a plurality of grids; according to the scene information of the fluid simulation area, the expected height of the fluid in each grid is determined; constructing a height map according to the expected height of the fluid in each grid; according to the specified flowing time, the predicted time when the fluid reaches each grid is determined; constructing a thermodynamic diagram according to the predicted time when the fluid reaches each grid; determining the flowing direction of the fluid in each grid according to the specified flowing direction; according to the flowing direction of the fluid in each grid, a flowing direction diagram is constructed; and generating a flow simulation diagram of the fluid according to the height diagram, the thermodynamic diagram and the flow direction diagram. The simulation efficiency, accuracy and authenticity of the flow simulation diagram of the fluid are improved.

This invention discloses a load scheduling architecture based on fractal topology, comprising self-similar fractal units, each with multiple load sensing points. When some sensing points are triggered, local load splitting is performed; when all sensing points are triggered, a load splitting mode switch is executed. The unit as a whole moves and simultaneously sends trigger signals to adjacent units through all sensing points, activating topological force flow ripples, causing the load to propagate step-by-step along the fractal hierarchy. This invention also discloses applications of this architecture in computer resource scheduling, integrated circuits, micromaterials, and mechanical simulation. This invention overcomes the traditional technical bias of "avoiding dead points" and achieves decentralized adaptive load scheduling.

The invention discloses a rapid expansion cloud chamber environment simulation method and system based on artificial intelligence, and the method comprises the steps: obtaining the experimental data and experimental conditions of a to-be-simulated expansion cloud chamber, carrying out the structural classification based on the experimental data according to the experimental conditions and expansion stages, and obtaining the feature vector of each stage, meta learning is carried out through a neural network according to the feature vectors, a cloud simulation model and simulation errors are obtained, a cloud chamber working condition interval is identified based on the simulation errors and experimental data, an output result of the cloud simulation model in a high-deviation interval is obtained according to the working condition interval, and an interval result is corrected through a CFD equation based on the output result. And obtaining a cloud room environment simulation result. According to the method, the cloud expansion stage is split, the fog drop growth process is fitted, CFD local correction is carried out on the simulated high-deviation interval, the prediction error control precision is improved, the prediction and collaborative analysis efficiency of the fog forming process in the complex environment is improved, and meanwhile good interpretability is achieved.

The invention discloses an urban three-dimensional space parameter capturing and rapid modeling method and system, and the method comprises the steps: remotely controlling an unmanned aerial vehicle carrying an infrared imaging high-definition camera to carry out the aerial photographing of the global space of a target city, and obtaining an urban refined aerial photographing image; processing the urban refined aerial photo to obtain urban three-dimensional space parameters; classifying the city density data and the city height data by using a clustering algorithm to obtain a clustering result; performing deep recognition on the urban refined aerial image based on a clustering result to realize urban complex geometrical morphology low-dimension processing to obtain an urban average geometrical morphology height; quickly constructing an urban three-dimensional space geometric model based on the clustering result and the urban average geometric morphology height; and predicting and displaying the urban physical environment high-resolution distribution result of the target city. The method is suitable for rapid construction of a three-dimensional space geometric model of a city of any scale and rapid simulation of the physical environment, has universality, and has important significance for reducing the simulation cost of the urban physical environment and realizing sustainable development of the urban environment.

The invention provides a chip particle interconnection interface clock and power decoupling system, a chip particle, a chip system and a power consumption management method. The system comprises a main band module and a sideband module which are physically separated, the main band module comprises a main band PHY and a main band controller, the sideband module comprises a sideband PHY and a sideband controller, the main band module and the sideband module have independent power domains, a power supply of the main band module can be turned off to realize low power consumption, and a power supply of the sideband module is always kept on. The main band responsible for high-speed data transmission and the sideband responsible for control management are thoroughly separated in physics, clock and power supply, the layout is flexible, the difficulty and cost of chip rear-end design, advanced packaging design and signal / power supply integrity analysis are remarkably reduced, and meanwhile refined power consumption control is achieved.

The utility model belongs to the technical field of flight confrontation simulation, and particularly discloses a flight confrontation simulation device, which comprises a control module, a front control module, a left control module and a right control module, and is characterized in that the front control module comprises a front frame, a front middle display screen, a front left display screen, a front right display screen, a head-up display, a left pedal and a right pedal; the left control module comprises a left frame, a rocker and a left display screen, the right control module comprises a right frame, a pull rod and a right display screen, a plurality of windows are formed in the upper sides of the left frame and the right frame, and the display screens are divided into a plurality of display areas. According to the utility model, the display screen is used for simulating a display instrument in the cabin of the fighter, and a plurality of windows are formed on the upper side of the frame to simulate one display screen into a plurality of instruments, so that the simulation cost of the fighter is effectively reduced on the premise of realizing accurate simulation. Meanwhile, different display instruments can be flexibly simulated by modifying the content displayed by the display screen, so that different models are simulated, and the simulation training cost is further reduced.

The invention discloses a vehicle virtual operation stability simulation method, device and equipment, a storage medium and a product, and relates to the technical field of vehicle simulation, and the method comprises the steps: building a control model and a vehicle dynamics model corresponding to a target vehicle according to a physical model and a control target of the target vehicle; compiling the control model to obtain a controller DLL library file corresponding to the control model; inputting controller parameters of the control model and a controller DLL library file into the vehicle dynamics model to obtain a vehicle dynamics model with control; and performing virtual operation stability simulation on the target vehicle based on the vehicle dynamics model with control. According to the method, virtual operation stability simulation is carried out on the target vehicle based on the vehicle dynamics model with control, the technical defect that a real vehicle needs to be controlled in each test in a traditional operation stability test method is avoided, the vehicle simulation efficiency is improved, the vehicle simulation cost is reduced, and the vehicle simulation efficiency is improved. And powerful support is provided for development of a vehicle intelligent control system.

The invention discloses an FPGA-oriented single event effect software simulation method and system. The method comprises the following steps: determining a signal list which may generate a single event effect for an FPGA; a single-particle simulation module sets a single-particle injection position and time for the signal list; generating a test case for simulating single-particle injection according to the single-particle injection position and time; the single event effect simulation controller loads the test case into the FPGA and operates FPGA simulation; a result analysis module observes a corresponding FPGA signal at a single event effect injection moment; the result analysis module analyzes a single event effect injection simulation result and generates a traceable waveform; and after the test case is completed, the single event effect simulation controller controls the single event simulation module to generate a next test case until the test cases of all the signals in the signal list are completed. The single event effect simulation time can be greatly shortened, the single event effect simulation efficiency is effectively improved, and meanwhile the coverage range of single event effect simulation is widened.

The present invention provides a method for pure software simulation of electric power communication, the method comprising: a first interface module, configured to send first simulation frame data sent by a first simulation terminal to a forwarding processing module; a second interface module, configured to send second simulation frame data sent by a second simulation terminal to the forwarding processing module; the first simulation frame data and the second simulation frame data have the same frame structure and different frame types; the frame type is used to instruct the interface module to perform corresponding analysis and processing; the forwarding processing module is configured to forward the first simulation frame data and the second simulation frame data according to the destination address in the simulation frame data after analyzing the simulation frame data. The present invention can reduce simulation costs, simplify the working process of an optical network unit, and improve simulation efficiency.

The invention belongs to the field of automatic control technology and multi-agent system cooperative control, and particularly relates to a multi-agent system fault-tolerant inclusion control method and system based on a neural network, and the control method comprises the following steps: S1, constructing a second-order multi-agent system; s2, constructing a full connection-fuzzy neural network; performing high-precision online fitting and approximation on non-ideal factors in the second-order multi-agent system to generate corresponding compensation items; s3, constructing a fixed time state observer, and estimating unknown position states and speed states of all the following intelligent agents within a preset time upper limit irrelevant to the initial state of the system; s4, constructing a fixed time sliding mode control law based on the estimation state and the compensation item; and S5, applying a fixed time sliding mode control law to the following agents, so that all the following agents converge and are stabilized in a dynamic convex hull formed by a plurality of leader states within a fixed time, and realizing inclusion control. According to the invention, the risk in practical application can be effectively reduced.

The application discloses a rapid expansion cloud chamber environment simulation method and system based on artificial intelligence, comprising: obtaining experimental data and experimental conditions of a to-be-simulated expansion cloud chamber, structurally classifying according to the experimental conditions according to the expansion stages based on the experimental data, obtaining feature vectors of each stage, carrying out meta-learning through a neural network according to the feature vectors, obtaining a cloud and fog simulation model and a simulation error, identifying a cloud chamber working condition interval based on the simulation error and the experimental data, obtaining an output result of the cloud and fog simulation model in a high deviation interval according to the working condition interval, correcting interval results through a CFD equation based on the output result, and obtaining cloud chamber environment simulation results. The method splits the cloud and fog expansion stages, fits the fog droplet growth process, carries out CFD local correction on the simulation high deviation interval, improves the prediction error control precision, improves the prediction and collaborative analysis efficiency of the fog formation process in a complex environment, and has good interpretability.

The utility model relates to a vehicle-mounted weighing device, which comprises a pressure data acquirer, a vehicle-mounted weighing controller and a display, the pressure data acquirer comprises a plurality of suspension embedded pressure sensors, the suspension embedded pressure sensors are uniformly arranged on a vehicle suspension, and the suspension embedded pressure sensors are electrically connected with the vehicle-mounted weighing controller through cables with shielding layers; the vehicle-mounted weighing controller is fixed to the inner wall of a vehicle cab, the displayer is embedded into a center console of a vehicle, and the vehicle-mounted weighing controller is connected with the displayer through a CAN bus interface. The pressure data acquisition device acquires pressure data borne by the current vehicle and sends the pressure data to the vehicle-mounted weighing controller; and the vehicle-mounted weighing controller reads the pressure data, sends the pressure data to an external data platform by using an internal communicator, and sends the returned load data to a display for displaying. The device can break through technical bottlenecks among data accuracy, operation and maintenance efficiency and working condition adaptability.