2390 results about "Modular design" patented technology

The invention belongs to the technical field of target classification, and particularly relates to a three-dimensional point cloud data analysis method and system based on artificial intelligence. Comprising the steps of data acquisition, data preprocessing, model construction, model training, model prediction and the like. The integrity and precision of point cloud data are effectively improved by collecting original point cloud and performing intelligent denoising and complementation operation; constructing a depth model by adopting an input layer, a region proposal layer and a classification and regression layer, and carrying out accurate classification and three-dimensional bounding box prediction on a target; wherein the region proposal layer is combined with a seed point feature extraction and voting mechanism to generate a candidate region, a classification branch outputs a category probability, and a regression branch predicts bounding box parameters. The system adopts a modular design, has the advantages of strong noise suppression, high complementation precision, high target detection accuracy, multi-scene applicability and the like, and is particularly suitable for efficient automatic identification of a complex three-dimensional structure.

According to the intelligent grotto excavation stability analysis system based on the BIM, through deep fusion of the BIM model and multi-source monitoring data, whole-process dynamic control over the grotto excavation stability is achieved. The system adopts a lightweight model processing technology to remarkably improve the calculation efficiency, and an intelligent inverse algorithm effectively solves the subjectivity problem of traditional parameter determination. A three-dimensional numerical simulation and real-time monitoring data interactive verification mechanism greatly improves the reliability of an analysis result, and a dynamic risk assessment system realizes the accuracy of risk early warning through multi-index fusion analysis. A final support scheme optimization module combines engineering experience with an intelligent algorithm, safety is ensured, economical efficiency is taken into account, and an intelligent solution capable of being self-adaptive to engineering condition changes is formed. According to the whole system, seamless connection of all links is achieved through modular design, and full-chain technical support from data to decision making is provided for safety construction of underground engineering.

The invention discloses a network communication dynamic optimization method based on multi-module collaboration, and relates to the technical field of network communication, a dual-mode communication module is deployed at each network node, and the network communication dynamic optimization method comprises the following steps: each network node broadcasts own existence information and power line channel characteristics through an HPLC (High Performance Liquid Chromatography) channel of the dual-mode communication module; each network node scans surrounding wireless networks through an HRF channel of the dual-mode communication module and reports own wireless channel quality information to the gateway; the global state sensing module collects all information and constructs a global network view containing physical topology and a channel quality map. A dual-mode cooperation mechanism, a machine learning prediction model and a dynamic decision strategy can adapt to complex dynamic environments such as power line noise fluctuation and wireless interference change, and communication parameters can be autonomously optimized without manual intervention; and meanwhile, the modular design is convenient to expand to a multi-mode communication scene, and has a wide application prospect.

The invention provides an enterprise financial comprehensive management system based on an intelligent technology, and relates to the technical field of financial management. The accounting intelligent subsystem is used for acquiring financial data, performing semantic analysis and conversion on the financial data through a preset rule and a multi-stage data mapping mechanism, generating a standardized accounting service instruction and issuing the standardized accounting service instruction to an automatic process engine, thereby automatically generating a financial document meeting an accounting criterion; the financial management subsystem is used for integrally realizing execution of backlog management, compliance guidance manual query and financial data structured storage according to a preset standardized process; and the business service subsystem is used for providing tax-related business service, asset management service, fund management service and operation management service processing and guidance for enterprises through modular design. The invention aims to improve the operation efficiency, reduce the error rate, break information islands, realize effective integration and utilization of resources, and provide powerful support for decision making of enterprises.

The invention discloses an outdoor workstation air quality monitoring and intelligent ventilation system and method, and belongs to the technical field of environment monitoring and intelligent ventilation control. The system is composed of an environment sensing module, an intelligent control unit and a ventilation execution device. And the environment sensing module realizes pollutant concentration field reconstruction through a multi-dimensional data fusion algorithm. The intelligent control unit constructs a dynamic ventilation model based on an improved fuzzy PID algorithm, and generates an optimal ventilation strategy in combination with meteorological prediction data and workstation structure parameters. And the ventilation execution device adopts a modular design to realize directional air supply and pollutant blocking. The method comprises four steps of real-time environment data acquisition, dynamic risk assessment, ventilation parameter optimization and execution mechanism linkage control, and remote intelligent regulation and control are realized through cooperation of edge computing and a cloud platform. According to the scheme, a passive response mode of a traditional ventilation system is broken through, and the technical advantages of accurate pollutant tracing, dynamic optimization of ventilation efficiency and intelligent adjustment of equipment energy consumption are achieved.

The invention discloses an automobile tire defect automatic detection device and system, and belongs to the field of automobile tire processing, through highly integrated modular design, the automobile tire defect automatic detection device comprises a multifunctional image recognition module, a depth measurement and 3D imaging module, an internal structure and air tightness detection module and an analysis and decision module, comprehensive detection of the surface, the geometric structure, the internal structure and the air tightness of the tire is realized, and efficient, accurate and intelligent tire defect detection is realized through cooperative work of each module and equipment.

The invention discloses a high-precision real-time positioning system and method for positioning personnel based on multi-mode fusion. The system comprises a multi-source data acquisition module, an intelligent data processing module, a fusion positioning model construction module and a positioning result application module, provides visual monitoring, trajectory analysis and scene customization functions, and supports flexible expansion through modular design. According to the method, satellite positioning, Bluetooth beacon and inertial navigation technologies are integrated, the weight is dynamically adjusted in combination with an adaptive weighted fusion algorithm, and a fusion positioning model supports outdoor (satellite dominant + EKF calibration, the precision being 2-5 meters) and indoor (beacon dominant + fingerprint matching, the precision being lt); according to the invention, intelligent switching between three modes (inertial navigation + ZUPT correction) and signal loss (1 meter) is realized, data noise is optimized by using Kalman filtering, and high-precision real-time positioning in indoor and outdoor complex scenes is realized. According to the invention, the problems of insufficient precision, poor environmental adaptability and weak expansibility of a single positioning technology are solved, and the comprehensive performance of the positioning system is significantly improved.

The invention relates to the technical field of intelligent communication, and discloses an end-to-end optimization method, a signal constellation geometry and probability joint shaping optimization method in an end-to-end intelligent communication system, and a communication device based on a neural network. According to the method, a transmitter is constructed by using a neural network, and a received signal passes through a two-stage equalization processing system to form an end-to-end optimization framework without assistance of a channel model. The transmitter adopts a modular design, can realize joint optimization of constellation probability shaping (PS) and geometric shaping (GS), and performs joint updating on all trainable parameters of the system based on a total loss function containing an equilibrium error and a decoding error through a back propagation algorithm. According to the invention, computing resources are effectively saved; the two-stage equalization system can accurately compensate channel damage, the realized PS and GS joint optimization can significantly improve the performance of the communication system and reduce the bit error rate, and the method has good performance advantages and practical value in an actual optical fiber communication system.

The invention provides a multi-modal big language model inference engine which comprises a pre-training big language model adaptation layer, a pollution remediation knowledge graph enhancement module, a multi-modal information understanding and fusion unit, a technology implementation optimization module and an inference chain and decision interpretation generator. The system adopts a hierarchical modular design, all components communicate through a standardized API interface, efficient and stable data circulation is ensured, and the problems of knowledge application limitation, opaque reasoning process, difficulty in professional knowledge fusion, knowledge updating lagging, limited multi-modal data processing capability and the like in the existing contaminated site remediation decision process are solved.

The invention relates to the technical field of robot control, in particular to a robot object grabbing adaptive learning system based on visual and tactile feedback. The robot object grabbing adaptive learning system based on visual and tactile feedback comprises a data acquisition module used for acquiring adaptive control data of a robot; the joint adjusting module is used for obtaining the joint compensation amount of the robot according to the adaptive control data of the robot and adjusting the grabbing motion of the robot to obtain the final joint adjustment degree; the visual feedback module is used for obtaining a rough grabbing force estimation value of the visual information by using a visual feedback formula according to the visual data of the robot; and the tactile feedback module is used for obtaining correction force of tactile feedback by using a tactile feedback formula according to the tactile data of the robot. Through multi-modal information fusion and modular design, high-precision and self-adaptive grabbing of the thermochromic object by the robot is realized.

The invention discloses a large model-knowledge graph driven data blood relationship traceability reasoning method and system. According to the method, through a closed-loop framework of KG-driven dynamic decomposition, small-model lightweight reasoning and visual credibility verification, the defects are systematically solved, and an interpretable, low-cost and easy-to-expand data consanguinity depth traceability scheme is provided for scenes with high credibility requirements such as data governance, compliance auditing and root cause analysis. According to the system, aiming at complex problem requirements, after a complex problem is input, the problems of no interpretation, low reliability and the like in data blood relationship traceability are solved through two modules, namely problem reasoning and verification presentation. The modular design not only conforms to the technical decoupling principle, but also facilitates independent optimization, and is suitable for medical treatment, scientific research and other scenes with high requirements for interpretability.

The invention discloses a dynamic environment robot adaptive control method and system, and relates to the technical field of robot adaptive control. According to the invention, dynamic compensation is realized based on multi-sensor fusion and real-time anomaly detection in combination with impedance compliance control; through a lightweight error model and a trajectory interpolation technology, the calculation efficiency is improved compared with traditional model prediction control, and high-frequency real-time correction is supported; the system adopts a modular design, and adapts to a heterogeneous robot platform by adjusting equivalent mass-damping-spring parameters; for sudden disturbance, trajectory smoothing and impedance control technologies are fused, the oscillation amplitude of the system is reduced, and execution jitter is effectively inhibited; according to the method, high-precision force tracking and stable control are achieved in scenes such as complex terrain walking and dynamic grabbing, the problems that traditional fixed parameter control response is lagged, model dependence is high and an actuator is overheated are solved, and the adaptive capacity of the robot to the dynamic environment and the task completion rate are remarkably improved.

The invention discloses a reinforcing method for long-term automatic grouting repair of fractured rock mass.The reinforcing method comprises the steps that a pressure sensor is arranged at the tail end of a grouting opening, and data of the pressure sensor are obtained through an intelligent control system; when the intelligent control system monitors that pressure difference is generated due to pressure unbalance caused by surrounding rock fracture development, the intelligent control system sets grouting parameters and starts a grouting program; in the grouting process, pressure balance between equipment and surrounding rock is maintained through a pressure adjusting module, and it is ensured that grout is stably conveyed within the set pressure range all the time in the conveying process after a grouting program is started; grouting pressure and flow are controlled in the grouting process; in the grouting process, the bacterial liquid and the cementing liquid are input in a separated conveying and on-site gathering mode; and accumulated liquid in the pipeline is rapidly removed after grouting is finished. By adopting the method, cracks can be continuously monitored and periodically repaired, and the manual intervention requirement is reduced. The modular design is convenient for maintenance and replacement of equipment, and the maintenance cost is reduced.

The invention belongs to the technical field of information, and discloses a subsonic target drone launch control method and system, and the method comprises the steps: obtaining target drone training task data, extracting specific scene parameters from task target diversity, and determining a launch trajectory configuration demand; analyzing the dynamic environment adaptation parameters according to a launching track configuration requirement to obtain a time sequence control precision requirement; a control instruction module is processed in an instruction combination mode, and an initial launching control strategy under the modular design capability is generated; for the initial launch control strategy, analyzing dynamic change in complex environment application, and judging a real-time adjustment strategy demand; if the real-time adjustment strategy requirement exists, flexible configuration of a control system is updated according to the dynamic environment adaptation parameters, and an adjusted launching track is obtained; and generating a target drone control scheme with an accurate training task through the adjusted launching track in combination with scene simulation effect data.

The invention discloses a novel precise ammonia spraying control system for an SNCR (selective non-catalytic reduction) denitration system. The system comprises an original pipeline, a newly added pipeline, a partitioned solution mother pipe, a first connecting pipe, a main stop valve, a first stop valve and partitioned solution branch mother pipes, a partition solution mother pipe is connected to the newly added pipeline, a main stop valve, a first stop valve and a second stop valve are arranged in the partition solution mother pipe, and the main stop valve is connected with the first stop valve and the second stop valve in parallel; according to the device, a modular design is adopted, dual improvement of denitration accuracy and stability is achieved through monitoring system reconstruction and control logic optimization, on one hand, a closed-loop control system with partition real-time monitoring, trend pre-judgment and hierarchical quantity control is constructed, flue gas analyzers and sampling point probes are arranged at inlets of the three types of cyclone separators respectively, and on the other hand, the flue gas analyzers and the sampling point probes are arranged on the other sides of the three types of cyclone separators respectively; the NOx concentration of the original flue gas of each partition is collected in real time and synchronously passes through a data collection chip arranged in the partition NOx storage early warning device.

A circuit breaker comprises a circuit breaker body, and accessories which can be selectively and additionally arranged on the circuit breaker body at least comprise an air outlet groove accessory, an arc striking row accessory, a bottom cover and a dustproof cover accessory. The beneficial effects of the invention are that the technical scheme achieves the selectable installation of accessories through the modular design, and remarkably improves the applicability and flexibility of the circuit breaker. A user can flexibly combine the accessories according to actual use scenes (such as different environments or functional requirements), so that the purchase of unnecessary components is avoided, and the initial cost is reduced; meanwhile, a subsequent installation mechanism allows a user to gradually expand functions when demands change, the whole circuit breaker does not need to be replaced, and resource waste is reduced.

Disclosed is a procurement optimization approach that integrates real-time reinforcement learning and blockchain-based compliance checks for dynamic, transparent decision-making. Initial procurement specifications and weightings are automatically generated using AI analysis of historical procurement data, followed by supplier evaluations using multiple criteria decision analysis with buyer-defined weightings, while a reinforcement learning module continuously refines these weightings based on observed procurement outcomes or feedback. Each updated weighting is automatically verified against predefined procurement rules encoded on a distributed ledger, ensuring that no unauthorized criteria change bypass regulatory thresholds. If found compliant, the system immutably stores the refined weighting and resulting supplier evaluation as a ledger transaction, creating an unalterable audit trail. Optional modules handle anomaly detection, predictive risk analytics, duplication detection across departments, automated tender generation, quantum-resistant cryptography, and ERP integration. This modular design addresses persistent procurement challenges: static weighting, delayed or incomplete compliance checks, and limited traceability. By unifying adaptive AI logic with an immutable ledger, the disclosed system offers robust, real-time improvements in cost efficiency and governance.

The invention belongs to the technical field of power network inspection, and particularly relates to a power network security inspection system which comprises a multi-source sensing module, an edge calculation module, a zero-trust security verification module, a core analysis module, an execution module and a feedback optimization module. Through an edge-cloud collaborative architecture, sensors, network flow and video data are fused in real time, the detection efficiency is improved, a physical equipment state and zero-trust dynamic authority control are introduced, 'physical-digital 'dual verification is realized, real threats and false alarms are marked, algorithm parameter adjustment is guided, and a feedback optimization module continuously reduces the false alarm rate through a closed loop mechanism; full-dimension safety protection of the power network is realized through modular design, dynamic branch processing and a closed-loop optimization mechanism; the threat level and the risk assessment result are dynamically adjusted through the environmental risk correction factor, the risk misjudgment rate is reduced, and the fault prediction accuracy in extreme weather is improved.

The invention discloses a flexible automobile door assembly automatic assembly line suitable for multi-vehicle-type mixed line, and relates to the technical field of automobile assembly, and the flexible automobile door assembly automatic assembly line comprises an annular conveying line, an automobile door assembly platform module, a visual compensation module, a collaborative assembly robot module and a control module, through the annular conveying line, the vehicle door assembling platform module, the visual compensation module and the collaborative assembling robot module which are modularly designed, rapid expansion and recombination of the production line are achieved, the multi-vehicle-type mixed-line production requirement can be flexibly met, the flexibility and adaptability of the production line are remarkably improved, meanwhile, efficient collaboration and precise control among all the modules are achieved, and the production efficiency is improved. And the assembling precision and efficiency of the vehicle door assembly are greatly improved. A 3D laser visual system of the visual compensation module ensures accurate butt joint of assembly of all parts, and the assembly quality problem caused by position deviation is avoided.

The invention discloses a modularized replaceable self-resetting energy consumption type bridge pier anti-collision system, and belongs to the technical field of bridge engineering structure safety. The system includes an annular rubber pad, an annularly disposed damper module, and a shape memory alloy (SMA) tow. The damper module comprises a cylinder body, high-viscosity fluid, a reset spring, a piston and a force transmission plate. The cylinder body is fixed to the pier in a surrounding mode through bolts and rubber pads, the inner wall of the cylinder body is connected with the piston through a reset spring, the piston rod end is hinged to the force transmission plates, and the SMA wire bundles are connected with the force transmission plates. When an external impact load acts on the force transmission plate, the fluid damper provides viscous energy consumption, and the SMA wire bundle, the spring and the rubber pad provide deformation energy consumption; after the collision is finished, the system can be reset to the initial position under the synergistic effect of the SMA wire bundle, the spring and the rubber pad. By means of the modular design, efficient energy consumption and self-resetting can be achieved; and meanwhile, a single damper can be quickly replaced after being damaged, so that the maintenance efficiency and the system recoverability are greatly improved.

The invention discloses an SAR ship instance segmentation method for self-adaptive representation alignment, and belongs to the field of SAR image instance segmentation. According to the implementation method, the problems of semantic-structural feature mismatch, global-local feature extraction mismatch and cross-dataset scale generalization mismatch are solved through modular design by constructing an adaptive representation alignment network. The method comprises an edge-guided boundary optimization module, a context sensing module and a depth adaptive feature pyramid module. The boundary optimization module introduces edge enhancement information in the feature extraction process to improve the target boundary positioning precision; the context sensing module fuses a multi-path global attention mechanism in a deep feature stage, and the semantic discrimination capability is enhanced; the depth adaptive feature pyramid module adaptively selects the optimal feature fusion depth by constructing a multi-depth fusion path in combination with scale statistical information, and improves the cross-dataset robustness. According to the method, the segmentation precision of the SAR ship instance can be remarkably improved.

The invention relates to the technical field of fluid control, and discloses a split type mass flow controller calibration method, system and equipment. According to the method, a control unit, a valve unit, a detection unit and a fluid passage unit are connected through detachable interfaces through a split type modular design, and the problem that a traditional integrated structure is difficult to calibrate and maintain is solved. A flow mapping relation model is established by adopting temperature difference and pressure data, and dynamic correction is performed in combination with an environment temperature compensation coefficient, so that the detection precision is remarkably improved. Through cooperative control of a flow closed loop and a valve element displacement closed loop, precise adjustment of the opening degree of the valve is achieved, and the stability and the dynamic response performance of flow control are effectively improved. The system has the advantages of being flexible in structure, high in calibration precision and high in environmental adaptability, and is suitable for the high-precision flow control field of semiconductors, biological medicine and the like.

The invention relates to the technical field of emotional robots, and discloses an embracing emotional robot which comprises an inner shell, low-cost and high-simulation breathing simulation is achieved through cooperative control of an air pump and an air valve, and the embracing emotional robot is designed by combining simulation body temperature brought by a heating piece and synchronous action of a rotatable arm. The emotion robot can naturally rotate forwards when being embraced and is matched with simulated respiration and simulated body temperature, so that the immersion and emotion interaction experience of a user are remarkably improved; the operation cycle of the air pump strictly follows biological breathing characteristics, the inspiration stage accounts for 2 / 3 of the breathing cycle, the speed of the inspiration stage changes fast and slow, the expiration stage accounts for 1 / 3 of the expiration stage, smooth pressure relief is achieved through the air valve, and the highly-simulated breathing mode can effectively guide a user to breathe synchronously, so that parasympathetic nerves are activated, the anxiety level and heart rate fluctuation are reduced, and the user experience is improved. And the whole structure adopts a modular design, complex functions such as breathing simulation, embracing and body temperature simulation can be realized, the maintenance is convenient, and the device is particularly suitable for long-term accompanying scenes.

The invention discloses a POL power supply automatic test method based on modular design, and belongs to the technical field of power supply test. The method comprises the following steps: firstly, under the control of an upper computer, automatically reading POL power supply basic parameters including key characteristic parameters such as input / output voltage, rated current and frequency from a preset Excel table, and establishing a judgment reference for testing; then, instrument initialization is completed, communication connection with test equipment such as an oscilloscope, an electronic load and a direct-current power supply is established, and configuration of initialization function parameters is completed; then, executing a measurement task of each core parameter of the POL power supply to be tested, and in the test process, executing a parallel measurement management mechanism, namely configuring each instrument parameter and channel state in real time according to a specific test item, and triggering a retry or interrupt logic under the conditions of communication abnormality, data timeout and the like until the test recovers a running state; and finally, after the test is completed, performing Excel storage and interaction on the standardized test data and the waveform screenshot, and finally safely exiting. According to the POL power supply automatic test method based on the modular design, the whole test process is divided into a plurality of serial or parallel function processing units such as parameter reading, instrument initialization, test execution and test management, data storage and interaction and the like, and high efficiency and usability of a test system are achieved.

The invention provides a pressure-controlled high-speed fluid precise trapping device, and belongs to the technical field of chemical engineering, the pressure-controlled high-speed fluid precise trapping device comprises a high-speed fluid trap, a precise pressure-controlled unit module, a multi-stage sampling connection assembly and a positioning bracket, and the device provided by the invention realizes multi-stage series linkage control through a connecting assembly; according to the device, continuous collection of high-speed fluid in the same event and process products in different stages can be achieved, meanwhile, trapping at any position and any angle can be achieved through the positioning support, a new experimental method and means are provided for revealing of high-speed fluid carrier changes and explosion process laws, and the device adopts modular design and is easy to popularize and use. All the connectors adopt the same standard, rapid connection is achieved through threads, pins and the like, assembling and disassembling are convenient, valves and pipelines are unified in standard, the universality of parts is good, and the device is convenient to clean in the later period and good in repeatability.

The invention discloses a modular radiator with a detachable function, which comprises a radiating machine box, a radiating unit seat is arranged in the radiating machine box, a radiating unit is arranged on the radiating unit seat, and the radiating unit seat and the radiating unit seat are fixed together through an insulating screw; a controller for controlling the heat dissipation unit seat and the heat dissipation unit, and a power supply wiring unit are arranged outside the heat dissipation machine box; an air inlet grille and an exhaust grille are mounted at the two ends of the heat dissipation machine box; channel modules are installed in a top cover and a bottom cover which are fixedly installed on the upper portion and the lower portion of the heat dissipation machine box, the channel modules are in butt joint, and sealing gaskets are arranged at joints. Through staggered work and modular design, efficient heat dissipation and convenient maintenance are achieved. The device can be flexibly arranged, air leakage is prevented, and the heat dissipation process is accurately regulated and controlled. Meanwhile, fan driving is abandoned, noise is reduced, and the device is suitable for scenes with strict noise requirements.

The invention relates to the field of application of electrochromic glass, in particular to an environment response type self-powered electrochromic glass intelligent collaborative transparent enclosure structure which comprises an enclosure structure body, and the enclosure structure body is of a sandwich type structure with a hollow interlayer. A self-powered module, an electrochromic glass unit, an environment sensing module and an intelligent regulation and control module are arranged on the enclosure structure main body; in addition, the invention further discloses a dynamic regulation and control method which comprises the steps of collecting data in real time, calculating an energy state and a dynamic regulation and control strategy and the like. The high-efficiency laminated photovoltaic glass and the energy storage unit are integrated, a dynamic regulation and control algorithm is combined, environment response type self power supply is achieved, the light transmittance is adjusted in real time to meet the illumination requirement, the operation cost and the energy consumption are remarkably reduced, modular design is combined with the flexible circuit interconnection technology, and the flexible circuit interconnection technology is optimized. The whole system gets rid of the limitation of complex wiring when being applied to building external windows, curtain walls or daylighting roofs, the installation process is greatly simplified, and the convenience of later maintenance is improved.

The invention provides an intelligent customer service work order processing method based on a large language model, a medium and electronic equipment. Full-process automatic processing of user service requirements from receiving to feedback is achieved through modular design. The method comprises the following steps: receiving and preprocessing demand information input by a user; performing semantic understanding on the normalized input by using a large language model, identifying a demand category, and extracting key parameters such as a room number and demand details; selecting a corresponding work order generation tool from a preset tool library based on the identified demand category, and matching a required business interface; a required information list is preset according to different requirement categories, whether the extracted key parameters are complete or not is automatically checked, and if not, a prompt is generated to guide a user to supplement information; after the information is complete, calling a corresponding work order template according to the demand category, filling the key parameters into the template to generate a standard work order, and pushing the standard work order to a back-end business processing system; and receiving a back-end processing result, combining the back-end processing result with basic reply content generated by the tool, and performing retouching through a large language model to form a final reply to be fed back to the user. Through the above process, specific demands of users in the vertical field can be accurately understood, the standard work order can be automatically generated and pushed, and the processing result can be acquired in real time and fed back to the user, so that the problems that existing intelligent customer service cannot extract complete demands, work order generation lacks specifications and the processing result cannot be fed back in a closed loop mode are solved; and the service efficiency and the user experience are greatly improved.

The invention discloses a whole vehicle power hardware-in-the-loop simulation test system and method under a P2.5 + P4 hybrid architecture. The whole vehicle power hardware-in-the-loop simulation test system comprises a controller, a test cabinet and an upper computer system, the hybrid power gearbox control system is electrically connected with the high-voltage control system; the test cabinet is electrically connected with the hybrid power gearbox control system, the high-voltage control system and the upper computer system; the upper computer system comprises a management module, a signal interface module, a controller interface module and a virtual simulation vehicle module, the management module is connected with the test cabinet and the signal interface module, and the signal interface module is used for realizing signal interaction between the controller interface module and the management module; the controller interface module is connected with the signal interface module, the Soft ECU module and the power simulation module. Standardized development of the power simulation test system is realized, the modular design supports rapid adaptation of different vehicle type platforms and power architectures, and repeated development is reduced.

The invention discloses a spaceborne high-performance calculation module and system based on a SpaceVPX standard and a control method. The calculation module comprises a board card following the SpaceVPX standard, and a core processor module, a storage module, a communication interface module, a monitoring module, a power management module and a VPX connector which are integrated on the board card. The core processor module adopts an anti-radiation reinforced high-performance processor; the storage module comprises a DDR4, a NORFLASH and an SSD (Solid State Disk); the communication interface module comprises an Ethernet, an SRIO high-speed interface and a debugging interface; the monitoring module collects state information through an I2C bus; the power management module provides stable power supply; the VPX connector leads out an SRIO bus, an ETH bus and an I2C bus, and star interconnection with other units on a satellite is achieved. Through standardized and modular design, the problems that an existing satellite-borne computing architecture is fixed, poor in expansibility and insufficient in reliability are solved, and high-performance, high-reliability and flexibly-combined satellite-borne data processing capacity is achieved.