783 results about "Personal computer" patented technology

The invention discloses an industrial personal computer and multi-graphics card collaborative parallel computation acceleration system, which relates to the technical field of industrial resource allocation and parallel computation, and comprises a resource monitoring and predicting module, a resource management module and a prediction type resource preparation module, the task splitting and collaborative execution module comprises a task splitting module, a cross-node collaborative module and a collaborative operation engine; the intelligent scheduling and dynamic resource allocation module comprises an intelligent scheduler, a dynamic resource allocation module and a conflict avoidance module. According to the method, the GPU video memory utilization rate, the core utilization rate, the temperature, the video memory fragment rate, the available video memory total amount, the CPU core total utilization rate, the load condition and the idle core number index are collected in real time through a resource monitoring module, and the video memory capacity, the GPU core occupancy rate and the CPU load requirement are predicted in advance before a task is submitted in combination with a gradient boosting decision tree and a neural network prediction model; and resources are reserved, so that the scheduling delay is remarkably reduced, and the scheduling hit rate is improved.

The invention relates to the technical field of real-time kernel performance testing of special chips, in particular to a special chip real-time performance evaluation method based on an FPGA (Field Programmable Gate Array), which comprises the following steps: (1) aiming at a real-time system on an ASIC (Application Specific Integrated Circuit) chip, setting an external interrupt source and an interrupt service program through a hardware interrupt controller; (2) two tasks with the same priority are created, scheduling of the tasks is achieved through time slice rotation, and a real dynamic load scene is simulated; (3) configuring an external FPGA (Field Programmable Gate Array) to generate a square wave signal to trigger external interruption of the ASIC chip, receiving a feedback signal, and connecting the FPGA and the GPIO through an external physical connecting line to form a hardware interruption triggering-response closed loop; and (4) realizing nanosecond timestamp capture through a counter built in the FPGA, acquiring time delay data, calculating interrupt response time, and transmitting the time delay data to a PC (Personal Computer) through a UART (Universal Asynchronous Receiver / Transmitter) to calculate a maximum value, a minimum value, an average value and a data jitter range of test data. The method can effectively solve the problem that the traditional internal closed-loop test cannot reflect the real interruption randomness and the dynamic load.

The invention discloses a pulsed neutron generator control system based on LabVIEW, and the system comprises a neutron generator industrial personal computer which operates a virtual human-computer interaction interface developed based on LabVIEW; the console core board carries a DSP main control chip and is embedded into a real-time operating system; the driving sampling board is connected with the console core board and is integrated with a signal conditioning circuit; the neutron generator industrial personal computer communicates with the console core board through a Modbus protocol, and controls and drives the sampling board to output control signals of the three independent power supply ion sources, the storage and the acceleration pole to the neutron tube; wherein the console core board generates three paths of PWM signals with the PWM frequency of 2.5 kHz and the step length of 8191, and the three paths of PWM signals are converted into analog control signals through the driving sampling board. According to the control system, the PWM control precision is greatly improved, the voltage control precision is improved to 0.012% (100% higher than that of a conventional scheme) through the combination of the 8191 step length (13-bit resolution) and the 2.5 kHz frequency, and the neutron yield fluctuation is controlled within + / -1.5%.

The invention provides a dam safety monitoring system lightweight construction method and device, and the method comprises the steps: deploying a protocol conversion gateway, carrying out the protocol analysis and data standardization processing of an existing heterogeneous sensor, generating data in a unified format, and supporting the network disconnection caching and automatic supplementary transmission; deploying a data processing module on a local server or an industrial personal computer based on an edge computing architecture, performing feature extraction and multi-scale fusion analysis on acquired data, and performing data compression by adopting an improved revolving door algorithm; constructing a lightweight anomaly detection model, training by using historical data to generate a normal mode template library, calculating a dynamic time warping distance between new data and a template in real time, and triggering early warning when the distance of a plurality of continuous cycles exceeds a preset threshold value; the sampling frequency of the sensor is dynamically adjusted according to the real-time data analysis result, key parameters are collected in a high-frequency mode, non-key parameters are collected in a low-frequency or intermittent mode according to the change rate prediction result, and therefore the system resource use efficiency is optimized.

The invention relates to an automatic test method and system for the zero offset of a hemispherical resonator gyroscope. The automatic test system composed of a double-shaft servo turntable control module, a gyroscope control module and a PC (Personal Computer) upper computer is built; a servo turntable control instruction and a gyroscope control instruction are sent through a serial port according to a certain program through an automatic test logic built in a PC upper computer, a gyroscope vibration mode angle is controlled to be automatically switched from 0 degree to 360 degrees (the step length can be set), and turntable angle and gyroscope vibration mode angle data under each vibration mode angle are synchronously collected; and substituting the acquired data into the error model, completing zero offset error parameter identification by adopting a nonlinear least square method, generating an error compensation formula, and writing the error compensation formula into a gyroscope control unit in real time to realize compensation.

The invention discloses a low-resource and low-energy-consumption remote sensing image brain-like computing system based on an FPGA (Field Programmable Gate Array), which belongs to the cross technical field of brain-like computing and remote sensing information processing, and comprises a data interaction module which is used for high-speed data transmission between a PC (Personal Computer) end and the FPGA and comprises a PCIe (Peripheral Component Interconnect Express) interface sub-module and a data transmission control sub-module; the storage control module is used for data interaction control of the off-chip DDR and the on-chip BRAM and providing efficient data supply for the processing engine; the processing engine module is used for simulating a brain-like pulse neural network to complete convolution calculation of the remote sensing image; comprising a convolution processing sub-module, a data storage sub-module, an input buffer sub-module and an output buffer sub-module. According to the low-resource and low-energy-consumption remote sensing image brain-like computing system based on the FPGA, the brain-like pulse neural network is adopted, the BRAM is allocated to store the intermediate computing result, and the computing unit is designed in combination with SNN characteristics, so that energy consumption and resource waste are effectively reduced, and computing efficiency is improved.

The invention provides a numerical simulation method and system constructed based on a neural network and an iterative approximation method. The method comprises the steps that a to-be-solved partial differential equation is determined; constructing a precise solution data set; establishing a deep learning objective function network; constructing a loss function; training the network through the random training set; and outputting the prediction solution. According to the method, the time variable is used as network input, continuous time prediction under single-round training is realized, and the problem that a traditional discrete model needs multiple times of iterative training is solved; tasks such as target detection and image classification can be executed, screen and back images of the mobile terminal / tablet personal computer are input in product defect detection, and defect existence, position or type are output; and inputting a sea surface image in sea surface ship identification, and outputting existence, position or type of the ship. According to the method, the number of training iterations in a Burgers equation experiment is reduced by 19.3%, and full-time-domain repeated training of a traditional discrete model is eliminated; internal point sampling is avoided through time semi-discretization, and the calculation efficiency is remarkably improved.

The invention provides a PC (Personal Computer) end quantitative model reasoning method. The method comprises the following steps: S1, loading input information; s2, deserializing the model; s3, operator calculation is carried out; and S4, storing the data, and selecting a dump data result. The quantitative model reasoning on the PC end is used for simply reasoning the model, verifying the result of the model and obtaining the data of the network layer of each stage reasoned in the model, and the PC end reasoning is used for correcting the data, assisting the quantitative model, reasoning the float model, post-quantitative model and training the quantitative model and verifying the correctness of the data. According to the method, model reasoning is convenient and effective, model data verification is facilitated, and data information of a quantitative model is provided.

The invention relates to an SOP chip packaging body defect detection method and system based on improved YOLO-v8, and the method comprises the following steps: S1, collecting and marking SOP chip packaging body defect pictures, and constructing an SOP chip packaging body defect data set; s2, performing data enhancement on the SOP chip package defect data set; s3, the YOLO-v8s model is optimized according to the defect characteristics of the SOP chip packaging body, and an SOP-YOLOv8s target detection model is obtained; s4, carrying out the training of an SOP-YOLOv8s target detection model through the SOP chip packaging body defect data set after the data enhancement; s5, constructing an SOP chip packaging body defect detection system, and deploying the trained SOP-YOLOv8s target detection model to an industrial personal computer system; and S6, acquiring an image through the industrial camera, and transmitting the image to the SOP-YOLOv8s target detection model for detection to obtain the package defect type of the SOP chip to be detected. The method and the system are beneficial to improving the defect detection precision and speed of the SOP chip packaging body.

We provide a blockchain automatic registration device for documents such as official daily reports and medical records that ensures the authenticity of business records, simplifies certification, and prevents tampering. [Solution] The system is equipped with an input means for acquiring electronic records entered or edited by users from a personal computer or tablet terminal, a communication means for sending or transferring the electronic records to a central information processing device, a processing means for hashing and digitally signing the electronic records, and a registration means for automatically registering the processing results obtained by the processing means in a blockchain, and is configured to automatically execute based on the electronic records.

The utility model discloses an extensible laser which comprises a machine table, a double-shaft carrying table and a lifting module are arranged on the machine table, an industrial personal computer is fixedly installed on the side face of the lifting module, the lifting module is connected with the lifting carrying table in a driving and lifting mode, and two lasers are arranged on the lifting carrying table in a sliding mode. The precise adjusting mechanism can be used for installing and connecting a plurality of lasers and galvanometers, and can be used for precisely adjusting each galvanometer, so that not only is the efficiency improved, but also the product quality is guaranteed; the working range of the multiple galvanometers is expanded, multiple products are coded or cut at the same time, and efficiency is improved; through the precise adjusting mechanism, the height distance of the galvanometers is changed, the focusing range is more precise, the distance between the galvanometers is changed, and the marking, punching and cutting range is better expanded.

The invention relates to a vibration acquisition and monitoring device for vehicle-mounted equipment. The device comprises an acceleration sensor module, a vibration acquisition and monitoring module and a control module, wherein the acceleration sensor module is used for detecting three-axis acceleration of the detected vehicle-mounted equipment in real time; the signal conditioning module is used for carrying out blocking filtering and denoising on the three-axis acceleration original data and then sending the three-axis acceleration original data to the MCU processing module; the MCU processing module is used for performing frequency spectrum calculation according to the three-axis acceleration to obtain a power spectrum density PSD and a corresponding RMS value, and recording and storing the power spectrum density PSD and the corresponding RMS value; the data communication module is connected with the MCU processing module and is used for realizing communication with an upper PC (Personal Computer) and vehicle-mounted equipment; and the power supply module is used for providing low-noise stable power supply for each module. Compared with the prior art, the method has the advantages of high real-time performance, stability, reliability, low power consumption, small measurement error and the like.

According to the penetration test system and method for the vehicle-mounted controller, various types of communication interfaces and equipment interfaces are integrated in the industrial personal computer, so that the rigid requirements for communication configuration in various test scenes are met. Furthermore, through division of a bus security test module, a system security test module and a communication security test module, each module can independently construct connection with a target vehicle-mounted controller based on a Vector tool chain, an ADB / SSH, a wireless network card and a Bluetooth adapter, parallel execution of multiple test cases is supported, and the test cases do not interfere with one another; and synchronous promotion of safety tests such as bus diagnosis, system login, wireless communication and the like is realized. The upper computer serves as a control core and can automatically drive any module or multiple modules to work cooperatively according to the target test case, and test instructions are issued in a unified mode through the VT test system, so that the test preparation time and the execution period are greatly shortened, and the effect of improving the penetration test efficiency of the vehicle-mounted controller is achieved.

The self-adaptive welding device comprises a robot, a robot controller, an industrial personal computer, a visual assembly and a welding gun, a visual processing module, a welding seam contour recognition module, a welding seam precision adjustment module and a track generation module are arranged in the industrial personal computer, and the visual assembly is used for conducting multi-angle shooting on a workpiece; the visual processing module is used for identifying geometrical characteristics of a main pipe and a branch pipe of the workpiece; the weld contour recognition module is used for recognizing a weld contour; the welding seam precision adjusting module is used for refining the precise position of the welding seam point at the junction of the main pipe and the branch pipe through a calibration method; the track generation module is used for generating a welding track; and the robot controller receives the welding track and controls the welding gun to move according to the welding track to execute welding operation. According to the method, the reasonable robot welding posture is automatically matched, the track continuity and the welding process stability are improved, through automatic track planning and execution, it is ensured that the quality of each welding seam is stable, and manual operation errors are reduced.

Provided are an information synchronization method and system. The method comprises: when an information synchronization condition on a battery production line is triggered, an industrial personal computer (402) acquires current machine alarm configuration information of a touch screen (403), the machine alarm configuration information at least comprising a machine alarm version number (S101); the industrial personal computer (402) performs a first version check on the machine alarm version number and a local alarm version number in current local alarm configuration information of the industrial personal computer (402), so as to obtain a first check result (S102); when the first check result represents that the machine alarm version number is consistent with the local alarm version number, the industrial personal computer (402) sends to a centralized control system (401) an alarm version check request containing the local alarm configuration information (S103); and the centralized control system (401) receives the alarm version check request, and performs a second version check on the local alarm version number and a system alarm version number in current system alarm configuration information of the centralized control system (401) to obtain a second check result, so as to synchronize alarm information among the touch screen (403), the centralized control system (401) and the industrial personal computer (402) (S104).

The invention discloses an intelligent prompting method and system, computer equipment and a storage medium, and the method comprises the steps: receiving a user-defined occupational tag and a knowledge deviation tag, and configuring a data collection path; collecting and analyzing multi-dimensional behavior data of a user on a personal computer in real time to generate structured knowledge entries; starting a cleaning process in a computer idle period or daily fixed time, judging novelty and correlation of knowledge by using a large model, and storing knowledge entries passing judgment into a knowledge base; in the knowledge base, vertical domain frontier knowledge is automatically obtained from the network based on user tags, an abstract is generated through a large model, and low-frequency outdated knowledge is deleted regularly; user input content is captured in real time, and RAG retrieval is performed in combination with historical behavior data and a knowledge base so as to provide intelligent prompts. The embodiment of the invention aims at solving the problems that an existing knowledge base system is static, the user adaptability is insufficient, and the interaction efficiency is low.

The invention discloses a tablet computer mainboard dynamic frequency modulation system based on temperature sensing, which belongs to the technical field of tablet computer mainboards and comprises a temperature acquisition module, a data processing module, a temperature and load correlation analysis module, an intelligent decision module, an execution control module, an energy consumption monitoring module and a feedback optimization module. The future load change is pre-judged based on the temperature change trend, the passive mode of response after the load exceeds the standard is broken, the intelligent decision-making module formulates a specific frequency and voltage adjustment strategy in combination with the load change trend, and the execution control module completes frequency adjustment before the load is actually increased according to a frequency adjustment instruction of the intelligent decision-making module. And the feedback optimization module continuously corrects the frequency modulation strategy according to the frequency modulation effect, so that the performance and the energy consumption are accurately balanced in various scenes, the frequency modulation response time is effectively shortened, the lagging caused by lagging is remarkably reduced, meanwhile, the invalid energy consumption is reduced through temperature-driven accurate frequency modulation, and the endurance of the tablet personal computer is prolonged.

The invention discloses a groove body excavation deviation correction system which comprises an embedded industrial personal computer serving as a system information interaction and calculation processing center, a data acquisition unit which is in data interaction connection with the embedded industrial personal computer and is used for acquiring stratum and grooving states, a dynamic geological database and a digital twin engine. The embedded industrial personal computer is also electrically connected with a hydraulic servo mechanism, a posture adjusting mechanism and a power modulation module which are used for controlling the double-wheel milling equipment; the multi-sensor fusion I MU + laser + sound wave and model prediction control MPC is adopted, the axis precision of + / -8 mm is achieved, the stratum rigidity change is predicted 1-3 steps in advance through sound wave scanning, the control weight is dynamically adjusted, and the deviation convergence speed is increased by three times. The problem that in the prior art, adjustment depends on artificial experience or simple feedback control based on PI D, and the axis deviation is generally + / -30-50 mm after the depth exceeds 50 m is effectively solved.

The invention discloses a pollutant monitoring system and method guided by turbulence degree of a flow field of a clean room, and aims to solve the problem that the existing monitoring technology lacks self-adaption and active tracking capability. The invention provides an innovative solution aiming at the defects that a fixed point position sensor has a blind area and a robot cannot deal with the change of a dynamic flow field during fixed inspection. The system comprises a mobile robot and a set of calculation and control system with a hierarchical data processing architecture. The remote computer is responsible for complex flow field analysis and decision making, the local industrial personal computer processes original data and executes bottom layer control, the load of the robot is effectively reduced, and efficient, stable and intelligent data transmission is achieved. The core of the method is an intelligent collaborative algorithm guided by the turbulence degree of the flow field. When the system detects that the flow field is disordered, the robot can start headwind search for rapid positioning, then seamlessly switches to disorder degree gradient tracking for accurate tracking, and finally the pollution source is locked. According to the cooperative mechanism of rough positioning and accurate tracking, the hysteresis problem of a traditional method is effectively solved, monitoring is changed from a passive mode to an active mode, and the real-time performance and the accuracy of clean room pollutant monitoring are greatly improved.

The invention relates to the technical field of laser welding, and particularly discloses a laser welding system and a laser welding spot position determining method.The laser welding system comprises a welding execution module, a motion execution module, a data acquisition module and an industrial personal computer; the welding execution module is used for carrying out laser welding operation on a welding seam position according to a welding instruction issued by the industrial personal computer; the motion execution module is used for driving the mechanical arm to complete mechanical actions according to the welding seam position issued by the industrial personal computer; the data acquisition module is used for acquiring contour information of a weld joint position of a to-be-welded workpiece and transmitting the contour information to the industrial personal computer; point cloud information of a to-be-welded workpiece is obtained through a laser sensor and a CCD camera, three-dimensional model reconstruction and point cloud segmentation are carried out in combination with an advanced Delaunay triangulation technology and an RANSAC algorithm, so that feature points of a welding seam are accurately extracted, then noise reduction processing is carried out on the extracted feature points by adopting a mean value replacement algorithm, and the feature points of the welding seam are accurately extracted. And the final welding spot position is more accurate.

The invention relates to the technical field of tunnel intelligent construction equipment, and discloses an in-tunnel intelligent rubber-tyred vehicle which comprises a vehicle frame, the two ends of the vehicle frame are fixedly connected with two cabs, and the upper surfaces of the cabs are fixedly connected with a gateway switch and a vehicle-mounted industrial personal computer; a multi-mode sensor module is arranged outside the cab, and the multi-mode sensor module comprises a laser radar, a visual camera and an ultrasonic probe and is used for sensing the environment in the tunnel; the gateway switch is internally provided with a fusion positioning module and a wireless communication module and is used for realizing vehicle positioning and remote communication; a control module and an execution module are arranged in the vehicle-mounted industrial personal computer, and the vehicle-mounted industrial personal computer is used for receiving the sensing information, generating a control instruction and then driving the vehicle to run according to the control instruction. The heterogeneous data of the laser radar, the visual camera and the ultrasonic probe are fused through the multi-mode sensing system, a tunnel three-dimensional dynamic environment model is constructed, and the obstacle type and spatial distribution are recognized in real time.

The invention provides a robot automatic stacking and loading control system and method, and relates to the technical field of loading control and image recognition, and the system comprises a data management layer, a stack shape program generation sub-module and a hardware execution layer. The data management layer is deployed on an industrial personal computer, and is used for storing order data, material data, vehicle model data and execution data of each lane, distributing control instructions and configuration parameters to the stack shape program generation sub-module, and collecting hardware equipment operation parameters of each lane in real time; by introducing a dynamic safety distance calculation module and a multi-target genetic optimization algorithm, the system can comprehensively consider physical characteristics of materials and real-time environmental factors, automatically generates a stack shape scheme which achieves optimal balance in efficiency, space utilization rate and stability, and meanwhile, automatically generates a stack shape scheme which achieves optimal balance in the aspects of space utilization rate and stability. The convex trolley adaptability verification function can formulate differential stacking strategies for special vehicle types, the problem of unstable stack shape or space waste caused by complex vehicle types is effectively avoided, and the stack transfer risk in the transportation process is remarkably reduced.

The utility model discloses a power supply device of a tablet personal computer and the tablet personal computer, and relates to the field of power supply. The input positive end of a voltage reduction module is connected with the output positive end of a power supply, the input negative end is connected with the output negative end of the power supply, and the output positive end is connected with the positive electrode of a power supply loop of the tablet personal computer; the output negative end is connected with the negative electrode of a power supply loop of the tablet computer; the voltage reduction module is used for reducing the output voltage of the power supply and then supplying power to the tablet computer; the simulation module is connected with a detection end of a main control chip of the tablet computer, and the simulation module is used for generating a simulation in-place signal when the battery is not in place, so that the main control chip detects that the battery is in place and controls the power supply loop to supply power to the tablet computer. A simulation in-place signal provided by the simulation module can avoid the situation that when the battery is not installed, the main control chip cannot detect that the battery is in place and cannot control the tablet personal computer to be started. The voltage reduction module can reduce the voltage output by the power supply and then supply power to the tablet personal computer, and the voltage reduction module and the simulation module replace a battery.

The invention discloses a tire pattern block double-process precision machining device in the technical field of machine vision. The tire pattern block double-process precision machining device comprises a robot. The visual control system comprises an industrial personal computer and visual upper computer software; the binocular camera is mounted on the fixed bracket and is used for realizing high-precision reconstruction of the curved surface of the pattern block and high-precision positioning of a back hole; the light source assembly comprises a customized arc-shaped light source, a customized support and a light source controller, and the light source assembly comprises a customized arc-shaped curved surface light source which is installed at the top of the support and used for lighting and installed on the side face of the support and used for supplementing light; the rotary workbench comprises a circular rotary platform driven by a motor and a pattern block clamping mechanism; the rotary workbench is used for rotating the tire pattern blocks placed at the designated positions; the machining device comprises an electric spindle and a controller of the electric spindle. The operation table comprises a customized electric cabinet and a touch screen mounted on the surface of the electric cabinet; the tool setting device is mounted on the outer side of the rotary table and used for compensating tool changing errors; according to the method, the limitation on the precision machining effect caused by insufficient consistency of binocular vision in depth estimation is overcome, the pattern block chamfering and milling groove machining task with the precision requirement being 0.2 mm or above is finally completed, and meanwhile, the consistency of the machining quality of the tire pattern block back hole is guaranteed.

The invention provides a rail type fish condition intelligent inspection robot control system which comprises a factory factory, M fish ponds are arranged in the factory factory, and M is a positive integer larger than or equal to 1; an inspection track for the inspection robot to move is arranged on the factory building, and the inspection robot is arranged on the track; the system further comprises an industrial personal computer and an inspection platform. After the inspection robot moves to a target fishpond, a fishpond water surface picture is shot, the shot picture is uploaded to the edge industrial personal computer, and the industrial personal computer recognizes the number of dead fishes and the number of fish floating heads in the picture and uploads a result to the digital twin management and control cloud platform. According to the invention, the number of dead fishes and fish floating heads in the fishpond picture can be identified, and the labor cost is saved.

The invention discloses a real-time time service industrial personal computer, and relates to the technical field of industrial personal computers, the real-time time service industrial personal computer comprises a main control board and a PCIe time code card, the PCIe time code card is connected with the main control board through a PCIe bus, and a GNSS time service module, a temperature compensation crystal oscillator and a PPS synchronous circuit are integrated on the PCIe time code card; the GNSS time service module is used for receiving a satellite signal and outputting a UTC timestamp and a 1PPS pulse signal; the temperature compensation crystal oscillator is used as a local clock source, and the PPS synchronous circuit is used for directly outputting 1PPS signals when satellite signals are available and switching to compensated crystal oscillator PPS signals when the satellite signals are lost; when the industrial personal computer is powered on, the PPS pulse triggers the clock of the main control board to be reset, the PCIe time code card transmits calibrated time-varying data to the main control board in real time, and the main control board distributes a synchronous clock signal with the precision of + / -1 microsecond to external equipment through an industrial bus protocol according to the time-varying data provided by the PCIe time code card. According to the invention, the problem of insufficient time service precision of a traditional industrial personal computer is solved.

The invention discloses a taper thread workpiece assembling method and system, an industrial personal computer, equipment and a medium. The method comprises the following steps: acquiring a first image of an external thread workpiece and a second image of an internal thread workpiece shot by a machine vision acquisition device; determining pose and size data of the external thread workpiece based on the first image, and controlling a workpiece clamping device to clamp the external thread workpiece based on the pose and size data; the hole center of the internal thread workpiece is recognized and positioned based on the second image, and the hole center position is obtained; and controlling a workpiece assembling device to assemble the external thread workpiece and the internal thread workpiece based on the hole center position. According to the scheme of the embodiment of the invention, the problems that manual observation and positioning and high-repeatability operation are needed in taper thread workpiece assembly can be solved, and the efficiency of taper thread workpiece assembly is improved.

The invention relates to the technical field of industrial personal computers, and discloses a distributed industrial personal computer based on an OpenHarmony system and a data collaboration method thereof. The method comprises the following steps: registering an industrial runtime service instance, receiving a shared memory access request of an application process, and transmitting a server file descriptor copy to the application process to obtain a client file descriptor; the application process executes mmap mapping on a client file descriptor to obtain a client mapping address, and initializes a global write position counter and a read position counter array; the service process updates a global write position counter and writes industrial data, the application process updates a self read position counter value in a read position counter array, and data verification is sent through a distributed soft bus or complete data is broadcasted to a remote industrial personal computer node through a distributed data management framework. According to the invention, unified and efficient response of the OpenHarmony industrial control system to local real-time data transmission and distributed collaborative operation is realized.

The invention discloses a welding robot work monitoring method and system based on machine vision. According to the scheme, a monitoring platform composed of an industrial robot, a welding head, a machine vision sensor, an industrial personal computer and a controller is constructed; on the basis, a unified coordinate system is established through camera internal reference calibration, hand-eye calibration and tool center point calibration; welding images, robot poses and process parameters are collected, and welding seam features are extracted through preprocessing and dynamic region of interest locking; performing three-dimensional reconstruction and track fitting by combining the depth information to generate a welding seam reference track and a welding gun theoretical attitude; and finally, the working state is judged by fusing the deviation parameters, the track and the technological parameters, time delay compensation, online deviation correction and abnormal alarm are carried out, and the scheme can improve the welding seam monitoring precision, the tracking stability and the welding quality consistency under the strong interference working condition.

Provided are a data processing system (10) and method. The data processing system (10) comprises a plurality of industrial personal computers (102-1 to 102-n) and a centralized control system (101). The industrial personal computers (102-1 to 102-n) are used for acquiring device operating states of production devices corresponding to the industrial personal computers (102-1 to 102-n); when the device operating states are different from the last device operating states of the production devices, acquiring device operating data of the production devices; when the device operating data represents that the production devices change from a first state to a second state, acquiring a device change reason of the production devices; and generating device-associated data on the basis of the device change reason and the device operating data, and uploading the device-associated data to the centralized control system (101). The centralized control system (101) is used for analyzing and comparing the device-associated data of the plurality of industrial personal computers (102-1 to 102-n) to obtain an operating state comparison result of the production devices corresponding to the plurality of industrial personal computers (102-1 to 102-n) on a battery production line.