140 results about "System hardware" patented technology

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 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 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 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 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.

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 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.

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 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.

The invention relates to the field of receivers, and provides a method, a device, equipment and a medium for improving the spurious-free dynamic range of a receiver, and the method comprises the steps: carrying out the sliding FFT operation of data after AD quantization, and obtaining a signal amplitude; counting the maximum value of the amplitude of one frame of signal; comparing the maximum value of the amplitude of one frame of signal with a saturation threshold; obtaining a selection detection threshold according to a comparison result; and comparing the detection threshold with the signal amplitude to obtain a detected signal. According to the method, when the signal amplitude exceeds the saturation threshold, the signals are detected through multi-threshold control, so that signals with larger amplitude can be effectively detected, spurious signals are removed, the spurious-free dynamic range of a receiver is widened, and the system hardware complexity is not increased.

The invention discloses a heating and ventilation system low-pressure correction method, system and device and a storage medium, and relates to the technical field of heating and ventilation, the method comprises the steps that a target operation mode is determined according to operation state parameters, and the target operation mode is a refrigeration mode or a heating mode; determining a pressure basic value corresponding to the target operation mode according to the target operation mode; and according to the target operation mode and the operation state parameters, the pressure basic value is corrected, and a corrected low-pressure value is obtained. Aiming at the limitation of a single pressure sensor system on low-pressure detection, the invention aims to solve the problem of low-pressure detection distortion of single pressure sensor heating and ventilation equipment in a refrigeration / heating mode, and by dynamically correcting a low-pressure value according to working conditions, the all-working-condition low-pressure detection precision is improved, meanwhile, the system hardware cost is reduced, and sensor redundancy is avoided.

The invention discloses a touch data response method, a control mainboard and an interactive panel. The method comprises the steps that the infrared touch screen displays a display interface of a Windows operation system; receiving a first touch operation located in a preset area on the infrared touch screen; the infrared touch screen sends first touch data to the main chip; the Android operating system displays a global menu on the infrared touch screen according to the first touch data; receiving a second touch operation located outside the preset area on the infrared touch screen; the infrared touch screen sends second touch data to the main chip; after receiving the second touch data, the main chip controls the infrared touch screen to send the second touch data to the built-in processing module; and after the Android operating system receives the first response data sent by the Windows operating system, controlling the infrared touch screen to display a second display interface. The accuracy and stability of touch response in the multi-system interactive panel and the overall user experience are improved, and meanwhile the system hardware cost and the structural complexity are reduced.

The invention relates to a distributed building vibration monitoring method and system. The method comprises the following steps: step 1, detecting node hardware model selection; step 2, sink node hardware model selection; 3, deploying system hardware; step 4, detecting initialization and operation of node software; 5, sink node software data processing; step 6, executing a positioning algorithm; 7, testing and calibrating the positioning precision; and step 8, testing data transmission stability. The method has the beneficial effects that (1) the method aims at solving the problem of signal blind areas of the traditional wireless technology in a complex building environment; and (2) the sensor deployment density is reduced, the project hardware cost is controlled, the positioning efficiency is improved, and the positioning precision is far better than that of a traditional acoustic positioning scheme. And (3) information loss possibly caused by temporary interruption of data transmission is reduced, the reliability of the system is improved, and the long-term unattended monitoring scene requirement of the building is well met.

The present invention relates to a method performed by a system (110) operable to configure a chemical separation system (120), the method comprising: receiving system hardware configuration data, wherein the system hardware configuration data is at least indicative of fluid manipulation modules (121_1-12N_M) of the chemical separation system (120), desired functionality of the fluid manipulation modules, and a fluid network (210) comprising fluid couplers configured to fluidly couple the fluid manipulation modules (121_1-12N_M), identifying a first set of function blocks to provide the indicated fluid manipulation modules with the desired functionality, generating a second set of function blocks by purging a third set of function blocks from the first set of function blocks to eliminate dead code using the configuration data, sending the second set of function blocks to the system (120).

The invention relates to the technical field of computers, and discloses a vehicle-mounted system process control method, device and equipment based on large model decision, 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.

A computer-implemented method includes establishing, by a device, a first wireless audio link between a phone and a Bluetooth speaker via the device and establishing, by the device, a second wireless audio link between the Bluetooth speaker and the phone via the device. The Bluetooth speaker includes a local speaker and a microphone. The method also includes receiving, by the device, first audio data from the phone, and transmitting, by the device, the first audio data to the Bluetooth speaker. The method further includes receiving, by the device, second audio data from the microphone of the Bluetooth speaker and transmitting, by the device, the second audio data to the phone.

The invention provides an industrial control automatic hardware configuration method and system based on artificial intelligence. The method provided by the invention comprises the following steps: receiving a plurality of structured project design tables; the project design table comprises an equipment list, a network configuration table and an IO point table; performing semantic analysis on the project design table based on a large language model and a domain knowledge base to generate a declarative description file; analyzing the declarative description file, and generating a corresponding API calling instruction of the integrated development environment of the industrial control system; and executing the API calling instruction according to a preset sequence to complete the hardware configuration of the industrial control system. According to the industrial control automatic hardware configuration method and system based on artificial intelligence provided by the invention, efficient, convenient and accurate industrial control automatic hardware configuration is realized, the technical threshold is reduced, and the configuration efficiency and accuracy are improved.

The application discloses a control system hardware resource optimization method and device, and the method comprises the following steps: dividing a system to be simulated into an electrical system and a control system, constructing a control system solving hardware resource optimization model with a control system solving calculation resource, storage resource and time resource weighted sum minimum as an objective function according to the topological structure of the control system and the calculation type; solving the control system solving hardware resource optimization model, and outputting a hardware resource optimization result; and downloading the hardware resource optimization result to an FPGA real-time simulator for simulation, so that the technical problems of long hardware debugging time and low efficiency caused by the manual hardware design method in the simulation preparation process of the prior art are solved.

The invention discloses a hardware-in-the-loop test system and method for a solid oxide high-temperature electrolysis system, which are used for testing the performance of a controller and an electrolysis power supply of an SOEC system. Comprising an electronic load used for simulating an electric pile body of an SOEC system and absorbing voltage and current output by an electrolysis power supply; the real-time simulation machine is used for operating a real-time simulation model, and the real-time simulation model is configured to be capable of simulating and outputting a virtual sensor signal of the galvanic pile according to the state parameters of the virtual actuator; and the peripheral board card is used for communication between the real-time simulation machine and the controller. According to the method, a virtual electric pile combining a multi-physics field coupled SOEC electric pile model and a high-dynamic electronic load is adopted to replace an SOEC electric pile entity for testing, so that the testing process can be parallelized and automated, the testing cost is remarkably reduced, and the research and development period is greatly shortened; by designing an integrated fault injection mechanism and a signal interface with a high security level, comprehensive verification of extreme faults is realized.

The invention relates to the technical field of signal processing, and discloses a Linux system interrupt signal transmission method and device, equipment and a medium. The method comprises the steps that an interrupt signal of a hardware layer of the Linux system is captured, a target process of the interrupt signal in an application layer of the Linux system is determined, and the target process is set to be the highest priority of system task execution; the interrupt signal is converted into a real-time reliable signal through a Linux system driving layer, and the real-time reliable signal is stored in a signal queue of a Linux system calling layer and is not combined with other signals; and transmitting the real-time reliable signal to the target process, and executing the interrupt signal through the target process. An interrupt signal is converted into a real-time reliable signal, the real-time reliable signal is not combined with other signals, it is ensured that the interrupt signal is not lost, meanwhile, a target process corresponding to the interrupt signal is set to be the highest priority, the target process can be executed immediately after receiving the interrupt signal, the real-time performance in the signal transmission process is ensured, and the transmission efficiency is improved. And the stability of external interrupt signal transmission of the Linux system is improved.

The invention relates to a single-chip microcomputer voice playing system capable of changing voice, which belongs to the technical field of single-chip microcomputer voice playing, and comprises a single-chip microcomputer main control module, a Flash storage chip, a loudspeaker driving circuit and a USB (Universal Serial Bus) communication circuit. The Flash storage chip adopts an FAT12 file system, the single-chip microcomputer is identified as a USB flash disk through a built-in USB protocol stack when the single-chip microcomputer is connected with a computer, and a user can directly update a voice file in a file copying mode. During playing, the single-chip microcomputer reads audio data from the Flash and converts the audio data into PWM signals in real time, and the loudspeaker is driven by the driving circuit to produce sound. According to the invention, a special voice chip is replaced by a general hardware architecture, so that convenient file replacement of voice content is realized, and meanwhile, the hardware cost and the operation complexity of the system are reduced.