309 results about "Device simulation" patented technology

The invention discloses a task autonomous processing method and device, a storage medium and electronic device.The method comprises the steps that a target transaction task instruction input by a user is obtained, task autonomous reasoning is conducted on the target transaction task instruction in an equipment simulation environment, and candidate task execution action tracks are obtained; performing task execution motion line optimization on candidate task execution motions in the candidate task execution motion track by adopting a Monte Carlo tree search mechanism through a collaborative search agent to obtain a target task execution motion track; and determining a task autonomous processing action sequence for the target transaction task instruction based on the target task execution action trajectory.

The invention discloses a virtual fire extinguishing training system and method based on deep learning flame recognition. The virtual fire extinguishing training system comprises a flame image acquisition module, a deep learning flame recognition module, a fire scene generation module, a fire extinguishing equipment simulation module and a scene customization module. And the flame image acquisition module is used for acquiring flame images and video data in different environments in real time through a high-definition camera, an infrared thermal imager, a panoramic camera and a sensor network. According to the invention, feature extraction and model training are carried out on mass flame images by using a deep learning flame recognition algorithm, accurate recognition of multi-dimensional information such as flame form, color, dynamic features and the like is realized, the flame detection capability in a complex environment is remarkably improved, and meanwhile, the system combines a physical engine and a scene generation module, so that the system is more accurate and reliable. The three-dimensional fire scene can be dynamically generated according to the real-time recognition result, the effects of fire spreading, smoke diffusion and the like are achieved, the constraint of a preset scene is eliminated, and training is more flexible and authentic.

The invention relates to the technical field of task management, and discloses a laboratory automatic data processing and management method, system, equipment and medium, and the method comprises the steps: obtaining the equipment information and resource information of a laboratory; and establishing an equipment simulation model of the laboratory. A task instruction is collected, and the task instruction is disassembled into atomic tasks. And arranging the execution sequence of the atomic tasks according to the inherent sequence constraint of the task instruction, the maximum resource utilization rate, the minimum scheduling frequency and the comprehensive analysis result of the optimal working time of the equipment. And performing task execution by using the execution sequence of the atomic tasks. Idle and faults of equipment are effectively avoided, resource waste is reduced, and automation and accuracy of experimental operation are improved. Besides, by analyzing the working time of the equipment and the validity period of the consumables, the energy consumption and the operation cost can be reduced while the smooth proceeding of the experiment is ensured, and the automatic management level of the laboratory is further improved.

The invention discloses a mechanical production practice virtual simulation method and system constructed based on a three-dimensional scene CAD model. Firstly, a target workshop is subjected to systematic aerial photography through an unmanned aerial vehicle to collect multi-view image data; a high-fidelity and interactive three-dimensional virtual scene model is automatically constructed by adopting a three-dimensional reconstruction technology fusing generative artificial intelligence and Gaussian splashing; and finally constructing an immersive virtual simulation platform. The platform not only can provide VR roaming and equipment simulation operation functions from a first person perspective, but also can collect user multi-dimensional operation behavior data in real time, and generates a visual intelligent comprehensive evaluation report through a preset multi-dimensional skill map and a quantitative scoring algorithm. According to the invention, high-efficiency and high-fidelity digital reproduction of a mechanical production practice scene is realized, a novel practical teaching mode which is safe, quantifiable and accurate in evaluation is created, and systematic pain points such as single scene, high cost, safety risk and subjective evaluation in traditional practice are effectively solved.

The invention discloses a server system based on a public cloud technology and an access method thereof, and belongs to the technical field of cloud services. The server system comprises a server and an external device inserted in the server. A virtual machine manager in the server is used for providing a virtual external device and a virtual memory for a virtual machine in the server, the virtual external device is obtained through device simulation based on the external device, and the virtual memory is obtained through device simulation based on a memory configured for the external device. The virtual device driver of the virtual external device is used for sending an access request carrying the target GPA to the external device when the virtual external device accesses the target GPA of the virtual memory. And the external device is used for obtaining a target host physical address corresponding to the target client physical address based on the access request, obtaining target data recorded by the target host physical address, and sending the target data to the virtual device driver. According to the invention, the address translation performance of the server system is effectively improved.

The invention relates to the technical field of relay protection, in particular to a relay protection simulation system, which comprises a simulation unit and a parameter optimization unit, and is characterized in that the simulation unit comprises a power system model used for creating a simulated power system environment and simulating the operation condition of a power system; the protection device simulation module is configured to simulate the working mode and response of an actual relay protection device, namely test action parameters of the protection device in various fault scenes and system states; and the fault simulation module creates various fault conditions and is used for testing the working condition of the protection device when the fault occurs. According to the relay protection simulation system provided by the invention, real-time optimization of a simulation result is realized by combining the relay protection simulation system and a machine learning algorithm, and action parameters of a protection device are dynamically adjusted based on an optimization result, so that the response capability and accuracy of the protection system are improved, and the risks of false action and missing action are effectively reduced.

The invention provides an automatic simulation test system and method for a semiconductor EAP system, and belongs to the field of semiconductor manufacturing, and the method specifically comprises the steps: defining a test scene through test case coding; constructing a test environment by using the equipment simulation module and the external system simulation module; driving a test process of the tested EAP program through an automatic execution engine and generating real-time output data corresponding to the tested EAP program; and comparing the real-time output data generated by the automatic execution engine with an expected result, and generating a test report. According to the processing scheme, behaviors of equipment and an external system are truly simulated in a software simulation mode, an actual production scene is accurately restored in a test link, dependence on a physical environment is reduced, and test coverage is improved; and moreover, the test scene is solidified through codes and configuration files, so that the versioning management and one-key automatic regression test of the test cases are realized, the test efficiency is remarkably improved, and the quality of secondary development is guaranteed.

A method for displaying and processing an image includes capturing the image, calculating one or more of a size, a position, and a field of view of a first region of interest (ROI) of the captured image, calculating one or more of a size, a position, and a field of view of a second ROI of the captured image, calculating a blur factor for blurring the first ROI, manipulating an image gradient of the first ROI pixel by pixel using the blur factor to reduce at least one of a brightness or a contrast of one or more pixels of the ROI, manipulating the second ROI by changing a color of one or more pixel values from the second ROI, and displaying the processed image on a display. An imaging system which includes an image signal processor (ISP) is also described.

The invention belongs to the technical field of semiconductor device simulation, and particularly relates to a method for rapidly calibrating BDTI surface potential and a related device. The method comprises the following steps: establishing a CIS BDTI device structure through simulation software; introducing silicon data, and calibrating an ion distribution curve in the device structure by taking a true value of SIMS concentration as a reference to obtain a device simulation model for concentration distribution calibration; replacing a surface high dielectric constant layer of the device simulation model for concentration distribution calibration with an electrode layer; and introducing the actually measured potential of the high dielectric constant layer of the device into the electrode layer to complete the surface potential calibration of the device. According to the invention, the surface high dielectric constant layer is directly replaced by the electrode layer, so that the potential of the surface high dielectric constant layer can be directly set as the potential of the actually measured high dielectric constant layer, the process of collecting, continuously increasing and adjusting positive and negative charges for many times and continuously adjusting the potential value of a High K material is avoided, and the calibration process is remarkably shortened.

The invention relates to the technical field of power system automation, in particular to a gateway machine double-confirmation closed-loop test system and method, and the system comprises an intelligent equipment simulation module which is used for simulating secondary equipment in an intelligent substation, achieving the transmission of remote signaling and telemetering data, and responding to remote control and remote regulation commands; the multi-source database interface module is used for being connected with a database of the tested gateway machine and querying, analyzing and monitoring data of the database; the master station protocol simulation module is used for simulating a master station protocol and communicating with the tested gateway machine; the intelligent analysis module compares and analyzes signal data from different modules through double-layer verification to ensure the consistency and accuracy of the data; the intelligent equipment simulation module, the multi-source database interface module and the master station protocol simulation module are respectively connected with the tested gateway machine and the intelligent analysis module. According to the method, the whole-process data reliability and the system function integrity are ensured.

The invention provides an interface display method, air treatment equipment and electronic equipment. Relates to the technical field of interface display. The interface display method comprises the following steps: displaying an operation interface comprising an equipment simulation control corresponding to the air treatment equipment; wherein the operation interface comprises an air supply adjusting area and an air supply visualization area; the air supply adjusting area is used for responding to air supply adjusting operation on the equipment simulation control; the air supply visual area is used for presenting the air supply effect of the equipment simulation control; and in response to an air supply adjustment operation on the air supply adjustment area, displaying an air supply effect corresponding to the air supply adjustment operation in the air supply visualization area. According to the technical scheme, a user can visually sense the air supply effect of the equipment in the adjusting process in real time through the air supply visual area provided in the operation interface, the convenience of air supply adjustment of the equipment is improved, and then the user experience feeling is improved.

The invention discloses a GAN-based electric power protocol honeypot trapping and anomaly identification method, which comprises the following steps: constructing a data set by collecting real traffic of an electric power protocol, generating diversified attack samples conforming to protocol grammar by using a GAN of a Transform architecture, and improving robustness by combining data enhancement technologies such as random truncation and noise injection. Virtual honeypot equipment is deployed to simulate power equipment behaviors, attack logs and traffic features are fused in real time, a graph neural network is adopted to model a cross-message interaction relation, and self-supervised learning is introduced to detect semantic anomaly. Experiments show that the method realizes 98.2% of detection accuracy on data sets such as IEEE 123-Bus and the like, supports dynamic adaptation of protocol versions, realizes accurate tracing of attack source IP and intention through honeypot log association analysis, and effectively improves the active defense capability of a power system to novel attacks.

The invention provides a process method for improving the performance of a beta-Ga2O3 device through low-energy proton irradiation, and relates to the technical field of electronic components, and the method comprises the following steps: carrying out low-energy proton irradiation on the basis of irradiation experiment parameters at a preset environment temperature; low-energy proton irradiation with different fluence is carried out on the beta-Ga2O3 Schottky diode in a preset incidence mode to determine irradiation process data, and in combination with deep level transient spectroscopy (DLTS) analysis and device simulation, defect evolution and a hydrogen passivation mechanism caused in a beta-Ga2O3 epitaxial layer after low-energy proton incidence are revealed. According to the method, the cognitive limitation that traditional radiation must cause performance degradation of devices is broken through, and the field of low-energy proton irradiation which is not fully researched is focused.

An apparatus features processor(s) and a non-transitory storage medium including an intelligent-adversary simulator and a formatting modules. The simulator calculates path(s) of least resistance for a cyber threat in a cyber-attack scenario to compromise 1) a first virtualized instance (source device), 2) a second virtualized instance (targeted device), and 3) virtualized instances of components of a virtualized instance of a network associated with selected pathways of the cyber-attack scenario through the virtualized instance of the network. The virtualized instances may be based on historical knowledge of connectivity and behaviour patterns of users and devices within an actual network under analysis. The formatting module generates a report with identified devices that are communicatively coupled to the virtualized instance of the network and prioritized to allocate security resources. The simulator calculates the least resistance path(s) through the virtualized instance of the network and refrains from calculating every theoretically path therefrom.

The invention provides an implementation architecture and implementation method for a virtual machine to use a DPU function and computing device.The implementation architecture is based on a DPU on which at least one function device is mounted and a host configured with the DPU, the implementation architecture comprises a virtual machine monitor, a DPU device aggregation layer and a DPU driving module, the virtual machine monitor comprises a DPU device simulation layer, and the DPU device aggregation layer comprises a DPU device aggregation layer and a DPU driving module; the DPU equipment simulation layer interacts with the DPU equipment aggregation layer; the DPU device aggregation layer interacts with the DPU driving module so as to provide the DPU and the hardware layer function of the function device mounted on the DPU for the DPU device simulation layer; and the DPU driving module is used for driving the DPU and the function equipment mounted on the DPU, and providing a use interface of the DPU and a use interface of the function equipment mounted on the DPU for the DPU equipment polymerization layer. According to the technical scheme, management and configuration can be simplified, the actual hardware function is decoupled from the equipment layer, and the management flexibility is improved.

The invention discloses a deep sea preset separable laying device simulation platform. The simulation platform mainly comprises a simulation mechanical calculation module, a three-dimensional display module, a marine environment module and an external task control module. The three-dimensional display module is responsible for creating an underwater equipment simulation model and a virtual deep sea scene model, the simulation mechanical calculation module receives an external control instruction, analyzes the instruction and substitutes the instruction into a corresponding dynamic model for calculation, and after the external task control module is started, configuration parameters are manually set, so that the underwater equipment simulation model and the virtual deep sea scene model are simulated. The control unit reads the task parameters and then generates a control instruction, and instruction information is sent to the simulation mechanical calculation module. Meanwhile, the invention further discloses a specific operation method of the simulation platform. The method has the advantages of high simulation precision, customization and multi-scene rapid migration, and provides guarantee for system testing of underwater full-process task maneuverability, safety and reliability of the deep sea device.

The invention discloses a master-slave equipment data transmission method and device, equipment and a storage medium, and relates to the technical field of equipment simulation verification, and the method comprises the steps: obtaining a plurality of verification instructions issued by a host verification program, and determining a queue channel corresponding to each verification instruction; the verification instruction is a master-slave device simulation verification instruction generated based on an ESPI protocol; sequentially writing verification data packets corresponding to the verification instruction into the queue channel based on a write enable signal corresponding to the queue channel; the queue depth corresponding to the queue channel is dynamically adjusted based on the channel occupancy rate of the queue channel in the data packet writing process; and receiving the verification data packet flowing out of the queue channel by using a preset register, and driving the verification data packet to the target slave end by using a preset ESPI serial bus, so that the target slave end performs simulation verification based on the verification data packet. Therefore, the working efficiency of simulation verification personnel can be remarkably improved.

The invention discloses a communication verification method, platform and device and a readable storage medium, and the method comprises the steps: obtaining an excitation signal and event level information corresponding to event excitation, and transmitting the excitation signal to a to-be-tested device supporting remote direct memory access; simulating a remote direct memory access protocol stack to process the event-level information to obtain a reference data frame; acquiring a response signal output by the device to be tested after processing the excitation signal, and converting the response signal to obtain a real data frame; and performing communication verification on the to-be-tested equipment by using the real data frame and the reference data frame. In the application, the event level information and the excitation signal are excited corresponding to the same event, and the response signal output after the excitation signal is processed by the to-be-tested device is converted to obtain the real data frame. And processing the event-level information by simulating the behavior of the to-be-tested equipment to obtain a reference data frame. Therefore, based on the real data frame and the reference data frame, communication verification can be carried out on the to-be-tested device.

The invention provides a SiC controller electromagnetic-thermal-force full-coupling simulation design method and system, and belongs to the technical field of power electronic device simulation design, and the method comprises the steps: constructing a bidirectional real-time coupling model of an electromagnetic field, a thermal field and a mechanical stress field; the irradiation dose is determined based on the expected working environment of the SiC controller, irradiation damage factors are introduced to correct SiC material parameters, and a bidirectional real-time coupling model is input; different temperature conditions and stress conditions are input into the bidirectional real-time coupling model for multi-working-condition simulation, performance parameters of the SiC material are output, and a quantitative relation model of the performance parameters, the temperature and the stress is established to reveal the performance degradation law of the SiC material; and based on the bidirectional real-time coupling model and the performance degradation law of the SiC material, taking the switching loss and the temperature rise as optimization targets, and carrying out collaborative optimization on parameters of the SiC controller. The simulation precision is improved, the performance of the SiC controller is optimized, the reliability is improved, and the service life is prolonged.

The invention discloses a fully mechanized coal mining face multi-protocol equipment simulation linkage control system and a working method. The control system comprises a presentation layer, a business logic layer and a data layer. The working method comprises the following steps: S1, selecting equipment needing to be simulated and issuing the equipment to the business logic layer; s2, an equipment simulation module obtains point location information of the selected equipment, and a linkage rule read-write module obtains equipment linkage control rule information; s3, the device simulation module calls a point location read-write module of a corresponding protocol according to the read device point location information, and point location change monitoring during device operation is achieved; s4, the rule simulation module completes point location read-write module calling across the devices according to the analyzed rules, and therefore linkage simulation between the devices is achieved; s5, the point location read-write module receives the calling command, scans the read point location and feeds back a scanning result to the business logic layer; and S6, the service logic layer transmits a feedback result to a simulation monitoring module for simulation effect display.

Disclosed in the present application are a turbine device simulation model evolution method and apparatus, a medium and a computing device. The turbine device simulation model evolution method comprises: acquiring current operating data of a turbine device corresponding to a condition in which inlet parameters are design parameters; on the basis of the current operating data, pre-testing a turbine device simulation model; when a pre-test result shows that the turbine device simulation model needs to evolve, preprocessing the current operating data, so as to obtain a combined data set, the combined data set comprising input data and output data corresponding to the input data; on the basis of the combined data set, building a mapping model and, by means of the mapping model, outputting an updated performance curve with the inlet parameters being the design parameters; and replacing a historical performance curve of the turbine device simulation model with the updated performance curve, so as to evolve the turbine device simulation model. Turbine device simulation models can evolve on the basis of the degree of degradation of turbine devices, so as to realistically reflect operating characteristics of the turbine devices at different life cycle stages.

The invention relates to the technical field of market analysis, in particular to an OTT large-screen content monitoring system and method based on a multi-modal agent, and the method comprises the steps: controlling at least one set of OTT large-screen equipment, simulating a user interaction signal to control the business interface navigation operation of the OTT large-screen equipment, and obtaining the display data of the OTT large-screen equipment; based on the display data, constructing and adaptively optimizing a business process state conversion model of the OTT large-screen equipment by a multi-modal agent, executing data acquisition operation according to the business process state conversion model, and acquiring commercial operation data; based on a space-time probability model, comparing the collected commercial operation data with a preset putting scheme, verifying a putting execution state and predicting a potential putting risk; semantic data analysis is carried out on the verified commercial operation data, market data are fused, and a content-attribute-relation-value multilayer commercial knowledge graph is constructed; and performing decision scheme optimization based on the knowledge graph, and generating an enterprise operation management strategy.

The invention relates to the technical field of power device simulation, in particular to a simulation system and a simulation method for power distribution automation. The method comprises the following steps: constructing a power distribution device test platform; performing automatic driving operation on the power distribution device to be tested by using the power distribution device test platform, synchronously monitoring a device circuit electromagnetic field, and generating transient excitation electromagnetic field distribution data; acquiring a three-dimensional model of the power distribution device; thermal resistance values among thermal resistance units of the three-dimensional model of the power distribution device are calculated through transient excitation electromagnetic field distribution data, so that a dynamic thermal impedance matrix of the device is constructed; performing internal circulation heat conduction simulation of the device based on the dynamic thermal impedance matrix of the device to generate temperature circulation simulation data of the device; and performing thermal damage value life evaluation according to the device temperature cycle simulation data to obtain power distribution device life evaluation data. According to the invention, through automatic simulation of the temperature response of the power distribution device under the dynamic working condition, the accuracy of power distribution device life evaluation is significantly improved.

The invention discloses a silicon carbide device simulation model and a simulation method thereof. The simulation model is composed of a device gate parasitic inductor, a device gate internal resistor, a device gate collector parasitic capacitor, a device gate emitter parasitic capacitor, an electron current voltage-controlled current source, a hole current source, a device collector parasitic resistor, a device emitter parasitic inductor, a device collector parasitic inductor, a device collector emitter parasitic capacitor and a device ideal diode. During application, parameter data of the device are tested through the static analysis device and the 18kV high-voltage dynamic characteristic test platform, the measured data are input into fitting software, parameter values of the device are determined according to fitting results, and the fitting voltage range is widened, so that the model can be used for simulating the high-voltage silicon carbide device with the voltage class of 18kV and below. The technical problems that an existing silicon carbide device simulation model cannot simulate a silicon carbide device with the voltage of 6.5 kV or above and cannot meet the simulation requirement of a 18kV high-voltage silicon carbide device are solved.

The invention discloses an airport fire rescue multi-role cooperative training system based on a virtual reality technology, the system is composed of an airport emergency event evolution calculation center, a VR individual soldier fire extinguishing system, a fire-fighting vehicle driving fire extinguishing system and an emergency command system, the calculation center dynamically generates a high-precision fire scene and synchronizes the high-precision fire scene to each subsystem; the VR individual soldier system provides immersive operation and tactile feedback through the head-mounted device, the control handle and the somatosensory waistcoat; the fire-fighting vehicle driving system restores a cockpit and fire extinguishing equipment in a 1: 1 mode, and simulates real driving and operation logic; the emergency command system supports multi-department real-time monitoring, resource scheduling and instruction collaboration; through a training method of customizing scene parameters, dividing roles of fire fighters, drivers and commanders, and performing real-time data interaction and efficiency evaluation, the problems of high cost, limited scene, insufficient collaboration and the like in traditional airport fire-fighting training are solved; and an efficient cooperative training solution is provided for airport fire rescue workers.

The invention provides a planar transformer temperature rise optimization simulation calculation method, which relates to the technical field of magnetic device simulation design, and mainly comprises the following steps: establishing a planar transformer equal ratio 3D model, solving a planar transformer winding impedance matrix, solving primary and secondary side waveform information of a planar transformer under specified working conditions, and solving the loss of the planar transformer. And solving electromagnetic-thermal bidirectional coupling temperature rise of the planar transformer. According to the method, based on excitation-loss-temperature rise coupling solution, the temperature rise of the planar transformer can be quickly and accurately simulated.

The application provides a remote device performance test method, device, system, equipment and storage medium. The method comprises the following steps: according to secondary device locking state information of a pre-configured secondary device locking strategy, controlling a secondary device simulation module to simulate state information when a locking operation is triggered; sending a remote control command to a to-be-tested remote device through a master station simulation module, obtaining execution data of the remote control command and feeding back; after receiving the execution data of the remote control command, when the execution data of the remote control command is a remote control failure, determining that locking anti-misoperation performance of the to-be-tested remote device meets locking logic requirements of the secondary device locking strategy. In the embodiment, an actual working environment of the to-be-tested remote device can be simulated, so that the locking anti-misoperation performance of the to-be-tested remote device is quickly determined according to execution of the remote control command, automatic testing of the locking anti-misoperation performance of the to-be-tested remote device is realized, and the performance test efficiency is effectively improved.

The invention relates to the technical field of power equipment, in particular to a circuit breaker simulation device, which is characterized by comprising an operation panel, a power supply loop and a working loop connected with the power supply loop. The working loop comprises a power-on opening holding loop, a local closing loop, a remote closing loop, a closing self-locking loop, a locking release loop, a local opening loop, a remote opening loop, an opening self-locking loop, a locking indication loop, an energy storage loop, an energy storage and release loop, an energy storage indication loop, an opening and closing indication loop and a three-in-two linkage release loop. According to the invention, a multi-scene relay protection device simulation environment is constructed, low-voltage and non-electric quantity protection function simulation of the relay protection device can be realized, and switching-on and switching-off action commands of the relay protection device can be checked; three-in-two logic control of the circuit breaker can be simulated; safe closing control of any two circuit breakers can be achieved, and the risk of short circuit caused by three-in-three is avoided.

The invention provides a Hamiltonian parameter determination method and device, equipment and a medium. The Hamiltonian parameter determination method comprises the following steps: calculating a first nanowire energy band value for a target size of a target material by using a first principle; based on the Hamiltonian model of the target material, constructing a Hamiltonian matrix of the target size, and calculating according to the Hamiltonian matrix to obtain a second nanowire energy band value of the target size of the target material; the optimized Hamiltonian parameter of the Hamiltonian model is calculated according to the energy band value of the first nanowire and the energy band value of the second nanowire, that is, the Hamiltonian model of the target material is corrected by combining the accurate energy band value of the first nanowire with the energy band value of the second nanowire; therefore, the optimized Hamiltonian parameter of the optimized Hamiltonian model is obtained, the Hamiltonian parameter of the small-size ring gate nanowire field effect transistor is re-determined, the Hamiltonian parameter is used for device simulation, and the device simulation accuracy is improved.

1. Name of the Design Product: Intelligent Device Emulation Graphical User Interface of an Electronic Device. 2. Use of the Design Product: An electronic device. 3. Design Key Points of the Design Product: Lies in the interface content of the graphical user interface on the screen. 4. Picture or Photo that Best Illustrates the Design Key Points: Front view. 5. The electronic device has a conventional design, and the rear view, left view, right view, top view and bottom view are omitted. 6. Use of the Graphical User Interface: Used to display the graphical user interface for users to perform intelligent device emulation. The front view shows the graphical user interface of the intelligent device emulation application. The gray-coated parts in the above figures all belong to the content screen.