223 results about "System hardware" patented technology

According to the model lightweight deployment method and device based on the hardware performance of the end system, parameters such as the maximum computing power and the batch processing amount are obtained through a static hardware performance evaluation query database, and the actual computing power and the memory are calculated in real time through dynamic operation state monitoring to serve as compression targets; when the hardware resource change exceeds a threshold value, light weight is triggered, and dynamic adjustment of a compression strategy is achieved; in the lightweight process, hardware parameters and model features are fused into a low-dimensional state vector, collaborative compression parameters of a reinforcement learning strategy network output pruning rate, quantization bit width and distillation temperature are input, and finally a lightweight model adaptive to the hardware dynamic environment is generated. The automatic compression process reduces the labor cost, ensures that the lightweight model is accurately matched with the end side hardware constraint, improves the reasoning speed and reduces the energy consumption.

The invention provides a full-autonomous cell operation system based on body intelligence, and relates to the field of cell operation, the system comprises a system hardware architecture and a system software architecture; the system hardware architecture comprises a micromanipulation execution system, a precision positioning system, a multi-mode sensing system and an intelligent calculation and control center. The micromanipulation execution system is used for cell environment interaction, the precision positioning system is used for sample bearing and environment control, the multi-modal sensing system is used for providing key information, and the intelligent calculation and control center is used for operation decision making; the system software architecture comprises a sensing layer, a planning layer, an execution layer and an interaction layer. According to the application, cell recognition, tool selection, path planning, operation execution and result feedback can be automatically completed without manual intervention; through tool autonomous switching and strategy dynamic adjustment, various operations such as cell clamping, injection, controllable deformation and micro-assembly can be completed, and the problems that traditional cell operation depends on manual work, efficiency is low, and consistency is poor are solved.

The invention provides a large-model-oriented heterogeneous computing power adaptive compiling method, which comprises the following steps that: a user inputs a trained large model through a system interface, and a system front-end conversion module analyzes a computational graph of the model and converts the computational graph into an intermediate representation based on a unified operator description language (UDL); the system hardware sensing module automatically detects and extracts hardware feature fingerprints of at least one piece of target hardware; based on the unified operator description language UDL intermediate representation and the hardware feature fingerprint, automatically generating an optimization adaptation rule oriented to at least one piece of target hardware; wherein the basis of parameterized filling comprises specific parameters of hardware feature fingerprints and optimized attribute tags carried in an intermediate representation of a unified operator description language (UDL); and generating and deploying multiple back-end codes. The method has the beneficial effects that intelligent compiling based on hardware features can be realized, and the deployment efficiency and the operation performance of a large model in a complex heterogeneous computing power cluster are remarkably improved.

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

The invention discloses a crack width measurement method and system based on dynamic topological structure analysis. A system hardware basis comprises an image acquisition module, an image processing unit, a data storage module and a result display module. According to the method, the working process of an image processing unit is divided into two stages according to a time sequence: the first stage is used for realizing data processing and crack segmentation, and the second stage is used for completing dynamic topology analysis and width measurement of cracks. In the second stage, the steps of form closed operation, skeleton extraction and enhancement, end point bridging, topological statistics and segment width measurement are executed in sequence, and finally a visual result and quantized data are output. The method comprises the following steps: processing an initial skeleton image by adopting an independently researched and developed topology enhancement algorithm; the method is especially good at processing complex net-shaped cracks, and the defect that measurement is inaccurate at crossed and bent cracks in a traditional method is effectively overcome through a dynamic topology analysis method.

The invention relates to the technical field of industrial automation control, and particularly discloses a rotating speed detection and closed-loop control system based on photoelectric sensing and a PLC, and the system comprises at least one rotating body which is a rotating speed controlled object, and the surface of the rotating body is provided with a configurable number of reflection mark areas or speed measurement holes; the proximity photoelectric switches are in one-to-one correspondence with the rotating bodies, are aligned with the reflection mark areas or the speed measurement holes, and are used for detecting rotation information of the rotating bodies and generating original pulse signals; a high-speed counter input port of the PLC is electrically connected with signal output ends of the proximity photoelectric switches, and a pulse preprocessing module, a rotating speed calculation module, a deviation processing module, a control algorithm module and a signal adaptation module are arranged in the PLC. The PLC and the proximity photoelectric switch which are widely applied in the industrial field and high in popularity rate are adopted as core technical components, and expensive special servo controllers, encoders and other devices are not needed, so that the hardware purchase cost of the system is greatly reduced.

The invention discloses a self-checking router network communication system, which belongs to the technical field of router network communication, and comprises a hardware module and a software module, the hardware module comprises a central processing unit used for executing system instructions and processing data, a storage unit used for storing temporary data, basic starting programs and key configuration files, and a network interface used for being connected with an external network. The software module comprises a self-checking program used for carrying out comprehensive self-checking on system hardware and software, a communication protocol stack used for realizing encapsulation, de-encapsulation and transmission of network data, and a network management module used for configuring, monitoring and managing the system; the self-checking items of the self-checking program comprise network card detection, power supply detection, connectivity detection of network connection and accuracy detection of a routing table; the system can discover and process network communication faults in time and guarantee stable operation of the network.

The invention relates to the field of oil pumping unit fault diagnosis, in particular to a multi-parameter oil pumping unit fault diagnosis method, system and device based on edge calculation and a storage medium. Multi-dimensional parameters of the operation state of the target oil pumping unit are obtained in real time; performing preprocessing and feature extraction on the multi-dimensional parameters to generate standard feature data; based on the standard feature data, performing parallel reasoning by using a machine learning model deployed in an edge computing device to obtain a fault type probability output by each model; performing weighted fusion on the fault type probability output by each model to generate a comprehensive fault diagnosis result; comparing the comprehensive fault diagnosis result with a preset threshold value to determine a fault level; and generating a corresponding control instruction according to the fault level. According to the invention, the operation state of the oil pumping unit can be comprehensively monitored, the hardware and operation and maintenance cost of the system is obviously reduced, and the requirements of an industrial field on real-time performance and high efficiency are met.

The invention discloses a positioning method for generating a pseudo LiDAR descriptor for cross-modal matching based on visual depth estimation, and the method comprises the following stages: in an offline training stage, obtaining synchronous multi-modal data, inputting a camera image into a pre-trained monocular depth estimation network, generating a dense depth map, and carrying out the alignment; training a global descriptor generation network with weight sharing; a laser LiDAR global descriptor database is constructed; an on-line positioning stage: acquiring a surrounding environment image; inputting the image into a pre-trained monocular depth estimation network to generate dense depth map alignment; inputting a global descriptor generation network, and generating a visual global descriptor; and performing cross-modal descriptor retrieval and matching. Generating a geometrically aligned pseudo LiDAR depth map through monocular depth estimation, and realizing cross-modal matching with a real LiDAR map; the system hardware threshold is obviously reduced; introducing a triple supervision mechanism based on geometric overlapping degree and a yaw angle invariant descriptor network of weight sharing; and a modal gap between the vision and the LiDAR is bridged.

The invention discloses a system problem analysis method and device based on a Linux system. The method comprises the following steps: starting a data collection service, and collecting the following system data: system software data, system hardware data, kernel operation data and system security data; storing the collected system data in a database; analyzing the system data of the specified time period in the database through a preset rule, determining abnormal data, and generating an analysis result; and displaying the analysis result in a visual data chart form. According to the scheme, the data information existing in the system can be quickly and visually checked, and the time consumed by data arrangement and collection is shortened; when system operation and maintenance work is carried out, possible problems can be found in advance, so that the time consumed for continuously carrying out problem analysis and positioning in the operation and maintenance process is shortened; a visual analysis report can be output, the granularity of data is improved, and operation and maintenance personnel are helped to carry out problem positioning and system maintenance more quickly.

The invention relates to the technical field of computer system security, in particular to a method and a system for constructing an endogenous trusted container of a Kylin system of a cryptographic chip. Comprising the following steps: integrating a domestic cryptographic chip to a hardware platform of a kylin system, establishing a high-speed secure communication channel between the domestic cryptographic chip and a CPU memory, and performing initialization configuration on the cryptographic chip when the system is started, including loading a key, setting a national cryptographic algorithm and configuring a security strategy; according to the method, the domestic cryptographic chip is deeply integrated on the hardware platform of the Kylin system, a hardware-level secure communication channel is established, initialization configuration is carried out, a hardware trust root based on the cryptographic chip is provided for trusted container construction, and the trusted reference of the system is improved from the bottom-layer architecture level.

The invention relates to the technical field of automobile infotainment, and discloses an automobile infotainment theme production binding method, system and device and a storage medium, and the method comprises the steps: obtaining an original data flow of a vehicle multi-mode sensor; analyzing the original data stream to generate a standardized feature vector; outputting a scene label corresponding to the current vehicle by analyzing the feature vector; dividing the to-be-started application process into different grades according to a preset scene grading mapping table; allocating corresponding hardware resources to different levels of application processes, and dynamically adjusting an allocation scheme of the hardware resources of the vehicle-mounted system; according to the adjusted resource allocation scheme, the application processes of the corresponding levels are started in sequence; and when it is detected that the feature vector has a change exceeding a preset threshold, re-outputting the scene label, and synchronously updating the application process grading and resource allocation scheme according to the re-output scene label. Therefore, quick starting of the application process, reasonable distribution of system resources and optimization of user experience are realized.

The invention relates to the technical field of mine safety and intelligent management, and provides a goaf grouting resource multi-modal scheduling method and system, which realize multi-dimensional perception of goaf fire through multi-modal data fusion, and improve comprehensiveness and accuracy of anomaly recognition. A Transform model and an improved evidence theory are introduced, so that the correlation analysis capability of cross-modal data is enhanced, and the false alarm rate is effectively reduced; dynamic deduction is combined with a physical model and deep reinforcement learning, so that the dynamic adaptability of fire development prediction is improved; path planning is fused with a heuristic algorithm and an AR visualization technology, and intelligent dynamic optimization of an escape path is achieved; a four-level response mechanism and an intelligent resource scheduling strategy are adopted, so that the emergency disposal period is shortened, and the grouting material matching and equipment scheduling efficiency is improved; the anti-interference capability and the self-diagnosis function are enhanced by the hardware design of the system, and the stability of data acquisition in a complex environment is guaranteed; the lightweight model and parallel computing technology improve the efficiency of real-time analysis and multi-fire-zone deduction.

The application discloses a card display method, and belongs to the technical field of visualization. The method comprises the following steps: in response to a dynamic card display request under a target scene, loading a target container corresponding to the dynamic card, and simultaneously acquiring a resource package associated with the dynamic card; under the condition that the target container is loaded and the resource package is acquired, processing the resource package; and rendering the processed resource package through the loaded target container, so as to display the dynamic card under the target scene. The core of the application is to process the time-consuming container loading and resource package acquisition processes in parallel, break the performance bottleneck of traditional serial loading, significantly shorten the total loading time, improve the loading efficiency, reduce the user perception delay, optimize the user experience, and improve the parallel utilization rate of system hardware resources.

The invention discloses a quantitative evaluation method and system for the autonomous controllability of a power grid dispatching automation master station system, and the method comprises the steps: building a hierarchical structure model of autonomous controllable evaluation through determining a quantitative index of the autonomous controllable evaluation of a hardware part, and enabling the model to comprise a target layer, a criterion layer and an index layer; then determining weights of the criterion layer and the index layer, and performing consistency check on the weights of the criterion layer and the index layer; and establishing a three-level scoring system, calculating a component autonomous controllability score corresponding to the index layer, calculating a complete machine equipment autonomous controllability score corresponding to the criterion layer, and calculating a system hardware equipment autonomous controllability score corresponding to the target layer. Compared with the prior art, the method has the advantages that the hardware autonomous controllability level is scored from small to large and from local to overall from three levels of parts, a whole machine and a system, a set of hardware autonomous controllability quantitative evaluation model is constructed, and quantitative indexes are provided for system hardware selection.

The invention relates to the technical field of power system hardware-in-loop simulation, in particular to a multi-station safety and stability control system engineering verification system and method.The system is composed of a workstation, a real-time digital simulation system, an analog quantity I / O interface, a digital quantity I / O interface and a safety and stability control system; the work station controls the real-time digital simulation system to generate simulation test data collected by the safety and stability control system, and the simulation test data are connected to an analog quantity I / O interface and a digital quantity I / O interface; experimental data is processed by the analog quantity I / O interface and the digital quantity I / O interface and is output to the safety and stability control system; the safety and stability control system identifies a power grid operation mode, an element fault type and a monitoring section condition, and determines whether to take control measures according to a control strategy. The invention also provides an engineering verification method adopting the system, so that the configuration and debugging of the safety and stability control system are simple, and the construction difficulty of the engineering verification platform of the safety and stability control system of multiple stations is reduced.

The present application relates to a kind of diesel engine electronic control system hardware PCB power supply function model calibration and identification method, this method is in the process of traditional mature PCB performance simulation commercial software to PCB is carried out performance evaluation, the concept of diesel engine electronic control system hardware PCB power supply function model is established, the model parameter class is reasonably divided, then on this basis, the calibration method that can effectively improve model precision is proposed, and the identification method that can verify model precision is correspondingly given.The proposed method breaks through the present situation that simulation precision is difficult to control in the traditional PCB performance evaluation process, and forms a scheme that can guarantee model precision by means of the two main links of calibration and identification.Its contribution lies in establishing the bridge between traditional commercial software simulation and equipment digital prototype construction, and it is an important part of diesel engine electronic control system digital prototype construction.

The invention provides an electronic tag auxiliary sorting method and system based on a decentralized search algorithm, and the method comprises the steps: constructing a double-segment two-layer coding representation scheduling scheme, and randomly generating an initial population based on a preset constraint condition; calculating the maximum completion time of each individual in the initial population in combination with simulation based on a hardware structure of the sorting system, and taking the reciprocal of the maximum completion time as a fitness value; sorting according to fitness values, and screening out high-quality and diversified individuals to form a reference set; combining a high-quality solution and a diversity solution in the reference set as a parent to perform interlace operation to generate a filial generation individual, and updating a population and reconstructing the reference set according to the filial generation individual; and after multiple rounds of iteration, taking the individual with the highest fitness value as a global optimal solution, and decoding the global optimal solution into a control instruction to execute sorting. Through the global collaborative optimization framework, the problems of turnover box sorting and sorting order distribution separation are solved, sorting order dynamic balanced distribution is achieved, uneven load of a sorting table is avoided, and the dynamic adaptability and overall efficiency of the system are remarkably improved.

This invention relates to cloud PC servers, including a 3U standard rack-mount server. The server comprises compute blades housed in a chassis, a fan module, a power supply module, a network switching module, and a main control management module responsible for monitoring and managing the operational status of the system hardware. The compute blades are configured with 24 blades, each capable of independent operation. The fan module employs a front-to-back airflow cooling method. Two power supply modules are provided, allowing for current sharing and hot backup. The network switching module features two independent and physically isolated networks. This invention exhibits good scalability and versatility, and high reliability.

The application provides a kind of planning heat exchange station virtual operation data generation method, belongs to the virtual operation data generation technical field based on machine learning;Collect existing heat exchange station central heating system operation data and system hardware data;According to the different lag order between each heat exchange station in the heat exchange station network, the primary water temperature in the system operation data and the system hardware data are calculated;Build and train BTI-LNN model of different lag order, calculate the lag order of the primary water temperature of the nearest heat exchange station adjacent to the newly built heat exchange station, select the BTI-LNN model corresponding to the lag order, and predict the virtual operation data of the primary water temperature;Based on the virtual operation data of the primary water temperature, calculate other virtual operation data.The application breaks through the strong dependence on historical operation data, and realizes the high-precision generation of virtual data of new heat exchange station in full working condition without historical data.

The invention discloses a PLC (Programmable Logic Controller) power failure data retention system based on a Linux memory mapping technology. The PLC power failure data retention system comprises a hardware subsystem and a software subsystem, the hardware subsystem comprises a CPU module for running a real-time Linux operating system; the power failure detection module is used for monitoring the voltage of an external power supply and triggering hardware interruption; the super capacitor power supply module is used for providing backup power after power failure; and the EMMC storage module is used for storing PLC key data. The software subsystem comprises a memory mapping driving module for mapping a physical space of the EMMC storage module to a system space to form a shared memory mapping area; the synchronization guarantee module is used for realizing lock-free synchronous access control by operating a state register; and the power failure control module responds to hardware interruption to start a data synchronization process. According to the system, lock-free synchronous access control between a user mode and a kernel mode is achieved through atomic bit flipping and exclusive-OR logic, it is ensured that a complete data block is synchronized to an EMMC storage module, the reliability problem of power-down data retention of a PLC system is solved, and the data synchronization efficiency and the system stability are improved.

The invention relates to the technical field of image fusion, in particular to a programmable projector image edge fusion system. The method comprises the following steps: establishing a system hardware architecture consisting of a programmable optical edge fusion board POEP, a fixed mechanical structure and a control computer, and acquiring multi-channel projection configuration parameters of a target projection scene; network communication connection with each POEP is established through a control computer, and a POEP basic control parameter set is generated; dividing a fusion region and a non-fusion region by combining pixel array distribution of POEP, and generating initial fusion control image data; optical edge modulation is carried out on the initial fusion control image data, and evaluation is carried out to generate effect optimization feedback information; and updating fusion control image data, re-issuing the fusion control image data to the POEP, and repeatedly executing optical edge modulation and evaluation feedback until the projection picture reaches a preset edge fusion standard. According to the method, the optical edge fusion parameters can be quickly corrected, so that the fusion effect is quickly recovered.

According to the technical scheme, system hardware is composed of a micro-focus ray source, a flat panel detector, a motion platform and a multi-ball standard part (forest ball array), and high-precision data acquisition and processing are achieved in combination with a multi-physics field sensing module and a parallel computing unit. The method comprises the steps of optimizing CT image preprocessing by using an adaptive denoising and hybrid segmentation algorithm, improving the point cloud precision by using a weighted covariance matrix and a dynamic error compensation model, and rapidly extracting a sphere center coordinate through a robust sphere fitting algorithm. In addition, a thermal-mechanical coupling compensation and spinor theory error transfer mechanism is introduced, and the environment temperature and mechanical motion errors are effectively restrained. According to the method, the calibration time is remarkably shortened, the positioning precision is improved to the micron level, the stability of the system in a complex noise and temperature change scene is enhanced, and the method is suitable for efficient microscopic CT system calibration in the precision manufacturing field.

The application relates to the technical field of computer system security, in particular to a Kirin system endogenous trusted container construction method and system of a cryptographic chip. The method comprises the following steps: integrating a domestic cryptographic chip to a hardware platform of a Kirin system, establishing a high-speed safe communication channel of the cryptographic chip with CPU memory, and initializing and configuring the cryptographic chip when the system starts, including loading a key, setting a national secret algorithm, and configuring a security strategy. The application establishes a hardware-level safe communication channel and performs initialization configuration by deeply integrating the domestic cryptographic chip in the hardware platform of the Kirin system, provides a hardware trust root based on the cryptographic chip for the trusted container construction, and improves the trusted benchmark of the system from the bottom architecture level.

This application discloses a video stream editing method, apparatus, electronic device, and storage medium, relating to the field of video editing and rendering technology. The method includes: receiving video stream editing information sent by a Redis module and receiving a real-time video stream sent by a streaming media service module; determining the current timestamp corresponding to the current frame image in the real-time video stream; searching for the editing information of the current frame image from the video stream editing information based on the current timestamp; rendering the current frame image based on the editing information to obtain the editing result of the current frame image; and sequentially traversing all frame images in the real-time video stream to obtain the editing result of the real-time video stream. The technical solution provided by this application not only ensures the video stream editing and rendering effect but also has no requirements on system hardware performance. It enables the system front-end to decode the timestamp of the current frame image quickly, achieving the goal of real-time data synchronous rendering.

This invention relates to the field of automotive control technology, and specifically to a dynamic compensation control method and system for the following performance of a steer-by-wire system. The method includes: acquiring multi-dimensional core operating signals and performing filtering and standardization preprocessing to obtain basic feature data; using a dual-threshold judgment model to analyze underperformance conditions and capture the evolution trend of these conditions; analyzing the operating status of the actuators and generating a collaborative evolution trajectory through a dual-motor cooperative control model to obtain dual-track evolution information; combining the dual-track evolution information with system hardware parameters, real-time operating feedback data, and dynamic performance thresholds to obtain a scenario-adaptive weight set; employing a multi-parameter coupling enhancement mechanism to obtain precise control core information; and adapting the system's quantitative indicators and iterative optimization requirements through a performance evaluation closed-loop mechanism to obtain parameter optimization results. This solution optimizes steering control through dual-track evolution information and a scenario-adaptive weight set, thereby improving steering control accuracy.

The application belongs to the technical field of device control, and particularly relates to a device control method and device, a computer readable storage medium and a terminal device. The method comprises the following steps: in response to a user operation instruction, displaying a system hardware expected value indicated in the user operation instruction; and acquiring a system hardware current value in real time and displaying the system hardware current value. Through the above method, the system hardware current value and the system hardware expected value are represented separately, and the understanding deviation of a user that the system hardware current value is the expected value is fundamentally eliminated, the user experience is improved, and the method has strong ease of use and practicability.

The utility model relates to the technical field of water treatment equipment, and particularly discloses an ultrapure water machine applying Internet of Things, which comprises an ultrapure water machine system, a hardware part and a software part, the hardware part comprises a water quality conductivity sensor, a water quality resistance sensor, a flow meter, a liquid level sensor, an electromagnetic valve, a TOC module and an EDI module which are arranged in the ultrapure water machine system; the ultrapure water machine further comprises a communication module and a control module, the communication module transmits collected data to a cloud end in real time, and the control module is used for receiving a cloud end instruction and controlling operation and maintenance operation of the ultrapure water machine; the software part comprises a data acquisition and transmission module, a data analysis and processing module, a remote control module, a historical data tracing module, an alarm and log module and an equipment activation and management module which act on the ultrapure water machine system. The system solves the problem that a traditional ultrapure water machine is single in function.

The invention discloses a card display method, and belongs to the technical field of visualization. Comprising the steps of loading a target container corresponding to a dynamic card in response to a dynamic card display request in a target scene, and obtaining a resource bundle associated with the dynamic card at the same time; under the condition that loading of the target container is completed and acquisition of the resource bundle is completed, processing the resource bundle; and rendering the processed resource bundle through the loaded target container so as to display the dynamic card in the target scene. The core of the method is that time-consuming container loading and resource packet acquisition processes are processed in parallel, and the performance bottleneck of traditional serial loading is broken, so that the total loading time is remarkably shortened, and the loading efficiency is improved. The user perception delay is reduced, the user experience is optimized, and the parallel utilization rate of system hardware resources is improved.

The application discloses a four-port magnetic network electric energy router power wide-range linear decoupling control method, device and equipment, relates to the isolated multi-port power electronic transformer technical field.The application determines appropriate decoupling working modes according to the power response speed requirements and reference power values of each controlled port, and calculates the decoupling control variables and outer moving phase and inner moving phase of each controlled port in real time, and finally realizes the four-port magnetic network electric energy router power wide-range linear decoupling by modulating each port to output corresponding square wave or quasi-square wave voltage.The application can not only realize the effective decoupling of power among each port, but also does not depend on additional hardware devices and parameter selection, does not need to increase the system hardware cost, volume and loss, and has higher system economy;also, the application does not need to solve complex nonlinear equations, only needs to perform proportional and integral operations, has low control algorithm complexity, and can effectively improve the reliability of the control system.