485 results about "Hardware modules" patented technology

The invention discloses a parallel processor dynamic resource allocation system and method based on reconfigurable hardware, and relates to the technical field of computer chips, and the system comprises a workload monitoring module which is responsible for monitoring the workload type and the resource demand of a task processed by a parallel processor in real time, and determining the task type and the resource demand by identifying the task type and the resource demand; a monitoring result is fed back to the resource allocation control module; the resource allocation control module is responsible for generating a corresponding resource allocation control signal based on feedback information of the workload monitoring module and dynamically configuring the reconfigurable hardware module; the reconfigurable hardware module is responsible for realizing efficient adaptation to diversified tasks through a plurality of reconfigurable units formed by programmable logic devices according to different working load dynamic reconfiguration functions and connection modes; and the data caching and transmission module is responsible for cross-module data circulation and global data storage. Different task requirements can be accurately adapted, and the resource utilization rate is improved.

The invention relates to the technical field of information processing, in particular to an IMP-based intelligent beam adjustment method, device and equipment and a storage medium, an operation interface image of each IMP machine table is acquired in real time through a KVM switcher, a current beam parameter and a real-time state identifier in the operation interface image are identified and extracted by using an OCR visual algorithm, and the current beam parameter and the real-time state identifier in the operation interface image are identified and corrected. Acquiring process requirement data of the current wafer batch number, integrating the parameter and state data and the process requirement data, performing data cleaning and normalization processing on the integrated data to obtain a pre-processing data set, analyzing difference information between the current machine beam state and a target process requirement based on the pre-processing data set by using an AI decision-making model, and determining the target process requirement according to the difference information. According to the method, the difference information is acquired, the optimal beam adjustment parameter is calculated according to the difference information, the adjustment accuracy is improved, the complex process requirements are adapted, the control instruction is generated according to the optimal beam adjustment parameter, and the IMP machine adjusts the parameters of related hardware modules according to the control instruction, so that the intelligent level is improved.

The invention discloses a fan control method and device, equipment, a storage medium and a program product. The method is applied to the electronic equipment, the electronic equipment comprises a plurality of heat dissipation devices, each heat dissipation device comprises a corresponding hardware module and a fan module, parameter data of the hardware module in each heat dissipation device are collected, and the parameter data are used for determining the temperature of the hardware module; determining a rotating speed control strategy of a fan module in each heat dissipation device according to the parameter data; and then according to the running state of the electronic equipment, the rotating speed control strategy is adjusted, and the running state comprises at least one of a starting state, a standby state, a light load state and a heavy load state. According to the application, the parameter data of the hardware module in each heat dissipation device is collected and according to the parameter data, accurate control of the rotating speed of the fan is realized, and the heat dissipation efficiency of the electronic equipment is improved; the rotating speed of the fan is dynamically adjusted according to the running state of the electronic equipment, noise and energy consumption are effectively reduced, and the overall performance of the electronic equipment is enhanced.

The invention discloses a shield construction muck quantity real-time monitoring system and method based on three-dimensional laser scanning, and relates to the technical field of construction monitoring, the shield construction muck quantity real-time monitoring system comprises a hardware module, a software algorithm module and a system integration module, the software algorithm module comprises a point cloud data processing module, a volume calculation module, a data analysis module and an early warning module, the point cloud data processing module adopts a hierarchical noise filtering algorithm and performs point cloud completion based on a generative adversarial network, and the volume calculation module adopts a slice integration method. Through a hierarchical noise filtering algorithm and a generative adversarial network point cloud complementation technology, noise points generated by interference of dust, diffuse reflection and the like are effectively eliminated, sparse point clouds and large-area holes in a low-reflectivity area are repaired, a complete and high-precision muck pile three-dimensional surface model is reconstructed, a reliable data basis is provided for volume calculation, and the method is suitable for mass production. And the point cloud quality and the model integrity in a complex construction environment are remarkably improved.

The invention belongs to the technical field of unmanned system control, and particularly discloses an unmanned ship and unmanned aerial vehicle system cooperative control method based on hydrodynamic parameters and deep reinforcement learning, electronic equipment and a readable storage medium, and the method comprises the steps: S1, obtaining the real-time position, speed and external environment information of each unmanned ship and unmanned aerial vehicle; s2, modeling the hydrodynamic system of each unmanned ship and unmanned aerial vehicle to obtain a dynamic model; s3, performing linear parameterization on the kinetic equations of each unmanned ship and each unmanned aerial vehicle; s4, constructing a deep reinforcement learning control algorithm for improving artificial potential field obstacle avoidance of the unmanned ship and the unmanned aerial vehicle; s5, constructing a network cooperation algorithm of the unmanned ship and the unmanned aerial vehicle; and S6, initializing hardware modules of each unmanned ship and each unmanned aerial vehicle, and loading a network cooperation algorithm into micro-control units of each unmanned ship and each unmanned aerial vehicle.

Methods and systems relating to computational hardware are disclosed herein. One disclosed method for executing a multiplication computation using a computational hardware block includes storing a first operand and a second operand for the multiplication computation. The first operand includes a first set of bit strings. The second operand includes a second set of bit strings. The method also includes multiplying the first set of bit strings and the second set of bit strings in a set of temporal phases using the computational hardware block. Each temporal phase uses a different group of bit strings from the first set of bit strings and the second set of bit strings. A cardinality of the set of temporal phases is determined by a fidelity control value. The fidelity control value adaptively sets a fidelity of execution of the multiplication computation.

The invention discloses a novel photovoltaic optimizer based on PLC communication, which comprises a hardware module, a control module, a communication module and a service module, and is characterized in that the hardware module is used for constructing a system material basis and realizing electric energy calling, signal coupling and equipment protection, and the control module is used for realizing intelligent power regulation and communication control; the power generation efficiency is improved and the communication stability is guaranteed through a multi-modal algorithm, and the communication module is used for constructing a power line carrier communication system. A special PLC framework for a direct-current low-voltage environment is adopted, a communication frequency band and an impedance matching scheme can be designed according to photovoltaic direct-current side characteristics, technical field differentiation is formed from alternating-current power grid PLC patents, through dual-mode MPPT dynamic switching, the limitation of a single algorithm in a dynamic environment can be broken through through combination of local gradient prediction and a distributed collaborative algorithm, and the real-time performance of a photovoltaic power grid is improved. In cooperation with a passive impedance compensation technology, adaptive adjustment can be performed through the magnetic ring filter and the capacitor array, an additional power supply module is not needed, and the hardware complexity is reduced.

The invention discloses a simulator supporting multiple debugging permissions. According to the embodiment of the invention, the simulator supporting multiple debugging permissions comprises a simulator management module which comprises a configuration unit, and the configuration unit is used for configuring the debugging permissions; a storage unit of the simulator hardware module is divided into a safe area and a non-safe area; the security area is used for storing security data, the non-security area is used for storing non-security data, and the debugging permission comprises a security mode and a limited mode; in the security mode, allowing access to the security area and the non-security area; and in the limited mode, the access to the safe area is prohibited, and the access to the non-safe area is allowed. According to the emulator supporting the multiple debugging permissions, debugging requirements of different security levels can be effectively distinguished, and flexible access control is provided for development and maintenance while data security is guaranteed.

The invention provides an unmanned aerial vehicle calling system and method based on open source gap atomization service. The system comprises a gap equipment layer, an atomization service framework layer, a protocol hard mapping engine layer, a shared memory direct writing layer and a PX4 flight control layer which are in communication connection with one another. Wherein the gap equipment layer is used for carrying out atomization service standardization packaging on basic services of the unmanned aerial vehicle according to a gap system rule, and constructing an interaction channel between the unmanned aerial vehicle and various terminals; the atomization service framework layer is used for managing the atomization service of the unmanned aerial vehicle; the protocol hard mapping engine layer is used for constructing a hard coding mapping table of an unmanned aerial vehicle atomization service and a PX4 flight control instruction; the shared memory direct writing layer is used for constructing a direct connection framework between a shared memory area special for the unmanned aerial vehicle and a hardware module in a swan-gap system; and the PX4 flight control layer is used for carrying out direct execution on an instruction from the swan gap system through PX4 flight control and carrying out quadruple safety protection on flight control.

The invention discloses a private key management method and apparatus, and a computer device. The private key management method comprises the steps of obtaining instance binding information sent by a virtualization platform; verifying the instance binding information according to a preset key strategy, and generating a token when the verification is passed; splitting the logic private key based on the birth token to generate a first private key share and a derived parameter used for deriving a second private key share, and performing encryption packaging on the derived parameter by taking the instance binding information as additional authentication data to form a key capsule containing the instance binding information; returning the key capsule to the corresponding instance, so that the instance unpacks the key capsule in the own operating environment and derives a second private key share; and when a signature request sent by the instance based on the second private key share is received, cooperatively generating a signature result based on the first private key share and the second private key share. The security and controllability of private key management can be effectively improved on the premise of not depending on a special hardware module.

The invention provides an automatic detection method and system based on a GNSS receiver hardware module, and relates to the technical field of electronic equipment testing, and the method comprises the steps: carrying out the analysis of a preprocessed signal data set, extracting a signal feature boundary based on a convex hull algorithm, and carrying out the detection of the signal feature boundary; calculating key performance indexes such as signal acquisition time, tracking precision, bit error rate and receiving sensitivity; comparing the key performance index with a preset performance threshold value, automatically judging whether the hardware module of the GNSS receiver is qualified or not according to a comparison result, and generating a performance judgment result; and automatically generating a structured detection report based on a performance judgment result, and outputting the report to a specified terminal or a storage position. According to the invention, by simulating GNSS signal excitation, response signal acquisition, a signal processing algorithm and an automatic performance judgment criterion, a scheme for efficiently and fully automatically detecting various key performance indexes of the hardware module of the GNSS receiver is realized.

The invention provides an FPGA (Field Programmable Gate Array) multi-modal control method based on dynamic partial reconfiguration, which comprises the following steps that: a main body adopts a layered hardware architecture to realize multi-modal control, firstly, a system module of a whole system is divided, so that FPGA logic resources are divided into a static region and a reconfigurable region; wherein the static area is responsible for global control and a communication interface part, the reconfigurable area realizes a multi-mode function by loading different configurations, and the middle layer is used for deploying the dynamic part to reconfigure a controller and is responsible for time sequence coordination and bit stream management. Compared with the prior art, the method has the advantages that the mapping relation between the modal feature library and the hardware module is established, the priority preemptive reconfiguration strategy and the modal switching cost model are adopted, the real-time matching of the sensor data flow and the hardware architecture is achieved, the dynamic data path reconstruction technology supports multi-modal parallel processing, and the real-time matching of the sensor data flow and the hardware architecture is achieved. Meanwhile, time sequence constraint, resource occupancy rate and power consumption budget are considered.

The invention provides a layered water injection well injection profile testing system, electronic equipment and a storage medium, and the system comprises a plurality of visible light communication modules which are respectively installed on eccentric water distributors of all water injection layers and on water injection pipe couplings between any two water injection layers; the plurality of sensing monitoring modules are mounted on the eccentric water distributor and are used for acquiring underground monitoring data of the layered water injection well; and the upper computer terminal is used for processing the underground monitoring data based on the group strategy optimization model to obtain an optimized water injection strategy, further generating a water injection control instruction, and transmitting the water injection control instruction to the eccentric water distributors of the water injection layers through a downlink channel. According to the scheme, the LED is used for transmitting data under the dark well, the problems existing in an existing transmission mode are solved, the original water injection well layout structure is not changed through installation of the hardware module, space is saved, and more stable and reliable light transmission can be achieved.

The invention discloses a visual recognition paint spraying robot system and an operation method thereof, and relates to the technical field of automatic paint spraying, and the technical scheme is that the visual recognition paint spraying robot system comprises a robot system module which comprises a hardware module and a software module; the hardware module comprises a visual acquisition unit module, a spraying execution module, a paint supply module, a safety protection unit module and a control terminal module, and the software module comprises a visual identification subsystem module, a path planning subsystem module, a monitoring and alarm subsystem module and a safety control subsystem module. The high-precision paint spraying system has the beneficial effects that through the high-resolution industrial camera, the 3D laser scanner and an advanced visual recognition algorithm, information such as grooves, defects and sizes of workpieces can be precisely recognized, high-precision paint spraying of complex workpieces is achieved in combination with a self-adaptive path generation algorithm, the paint spraying quality and the product percent of pass are greatly improved, the production efficiency is improved, and the production cost is reduced. And the whole paint spraying process is smoother and more efficient.

A predictive read threshold calibration method is provided in which a dedicated hardware module is used for read threshold calibration. The hardware module uses a tree-based inferencing model to generate trees that produce respective inference results based on a plurality of read thresholds. An inferred read threshold is obtained by summing the inference results of the trees, and the memory is read using the inferred read threshold. Other embodiments are provided.

The invention discloses a video transmission and grading early warning method based on 5G and Wi-Fi hybrid networking, and relates to the technical field of network transmission and safety monitoring, and the method comprises the steps: firstly deploying fusion anchor points containing three types of core hardware modules, and determining the number of the fusion anchor points; extracting service time delay and bandwidth demand grades in an XR scene, establishing a QoS parameter mapping relation between 5G and Wi-Fi, and reading key parameters through a fusion anchor point to dynamically allocate bandwidths; based on the parameter matrix and the weight matrix, determining a sampling interval and marking a sampling frame; and finally, evaluating a sampling frame threat parameter and executing hierarchical response. According to the invention, while the collaboration of hybrid networking is improved, the accuracy of threat assessment is improved, and the continuity and security of video transmission in an XR scene are ensured.

The invention discloses a scanning control method and system for a magnetic resonance spectrometer, and the method comprises the following steps: an upper computer analyzes and loads sequence file parameters meeting the Pulseq standard, and integrates the sequence file parameters and pre-configured system parameters into a scanning parameter set; the upper computer generates an executable spectrometer hardware control instruction based on the scanning parameter set, and writes the spectrometer hardware control instruction into a register of a PCIE board card through a PCIE driving module; the PCIE board card generates a hardware control signal according to the content written in the register, controls the spectrometer hardware module to execute corresponding operation, and generates magnetic resonance original data; and the upper computer reads the magnetic resonance original data and reconstructs the magnetic resonance original data into magnetic resonance image data based on analysis of the magnetic resonance original data. According to the invention, the compatibility and flexibility of the system are significantly improved, different upper computers can communicate and cooperate with the spectrometer hardware module, sequence sharing and use among different devices are facilitated, and the integration and maintenance costs of the system are reduced.

The invention discloses an industrial-grade acquisition control device and method, and relates to the technical field of industrial automation, and the device comprises a main control module (including an APM32F030C8T6 microcontroller), a double RS485 communication module (based on MODBUS-RTU, and connected with an upper computer and a touch screen), an optical coupling isolation DI / DO module, an industrial-grade power supply and protection module (DC9-36V input, with a TVS tube and the like), a display module, a setting module and a watchdog circuit. According to the device and the method, through hardware modular design, access of an industrial protocol and reliable control of data are realized, and the efficiency and the flexibility of industrial data acquisition and control and the system reliability are remarkably improved.

A computer-implemented technique for generating program code includes receiving a natural language description of a hardware module, generating a first plan based on the natural language description, extracting first circuit information from the natural language description, generating a second plan based on the first plan and the first circuit information, and generating first program code in a hardware description language based on the second plan.

The invention discloses a loader remote intelligent control system based on multi-network fusion and modular design, and relates to the technical field of loader remote control, and the loader remote intelligent control system comprises an equipment end, a remote control end and a cloud server end; the equipment end comprises the following hardware modules: a hardware sensing module which comprises a multi-type sensor array and a data acquisition unit and realizes real-time acquisition of mechanical parameters, environmental parameters and attitude data; and the main control processing module integrates a CPU (Central Processing Unit) and an FPGA (Field Programmable Gate Array) acceleration unit, is internally provided with a QNX real-time operating system, and is used for data preprocessing, control logic execution and hardware drive management. Through a remote intelligent control scheme, an operator can operate and control equipment in a safe area, the operation safety is improved, the operability and flexibility of the equipment are enhanced, modular design is adopted to facilitate installation, maintenance and rapid deployment, and a multi-network fusion architecture ensures stable data transmission in different environments; the low-delay and accurate control technology realizes the undifferentiated response speed of remote control and field operation.

The invention relates to the technical field of display methods, in particular to an adaptive multi-scene dynamic picture compensation method, which comprises the following steps of: judging dynamic pixels according to pixel-level gray scale difference operation results of a previous frame and a current frame and edge detection results of the previous frame and the current frame; according to the dynamic characteristics of each region of the picture, carrying out distinguishable region segmentation on the display picture; performing dynamic classification according to the dynamic pixels in each block; and performing elastic LUT configuration and management according to different dynamic levels, and outputting a compensation frame. According to different dynamic scenes, in combination with regulation and control of hardware, adaptive dynamic compensation of different scenes is experimented. The hardware module is responsible for quickly completing basic dynamic scene judgment, and the CPU adjusts the division mode of compensation parameters according to different display scenes, so that the image quality is improved, the excessive compensation is improved, and the problem of insufficient self-adaptability in different scenes in the prior art is solved.

A modular compliance verification and audit recording system is disclosed. The system includes a plurality of hardware modules interconnected via a system communications bus, a memory storing rule sets, access profiles, and encrypted audit records, and communication circuitry configured to interface with one or more external electronic devices through a secure network gateway. The system receives and authenticates compliance data, applies stored rule sets to determine verification results, records verified events as immutable audit entries, and enforces data-minimization and redaction policies to generate privacy-protected audit information. The processed audit information is transmitted over the secure network gateway to authorized external systems. The system provides end-to-end verification, recording, and privacy preservation of compliance-related data across distributed computing environments.

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.

A compute tile is described. The compute tile includes compute engines and a general-purpose (GP processor coupled with the compute engines. Each of the compute engines includes a compute-in-memory (CIM) hardware module. The CIM hardware module is configured to store weights corresponding to a matrix and to perform a vector-matrix multiplication (VMM) for the matrix. The GP processor is configured to control the compute engines, to receive output of the VMM for the matrix from the compute engines, and to perform a nonlinear operation on the output. The compute engines are addressable by data movement initiators. Data may be moved to and / or from the compute engines in data paths that bypass the GP processor.

A method of recording error event is implemented by a processing module in connection to a BMC, the method includes steps of: when a correctable error has occurred in a hardware module, obtaining a current error frequency related to occurrence of the correctable error, and generating error event data related to the correctable error; when the current error frequency is greater than a first threshold, adjusting a notification upper limit corresponding to the hardware module from a default value to an alternative value; increasing an error count value by one; when the error count value has not reached the notification upper limit, returning to the step of obtaining the current error frequency; and when the error count value has reached the notification upper limit, sending the error event data to the BMC, setting the error count value to zero, and returning to the step of obtaining the current error frequency.

The invention discloses a self-service terminal with a modularized hardware function structure, and the terminal comprises a standardized interface module which is used for the electrical connection and communication between all hardware function modules in the self-service terminal, and an electrical connection interface and the communication are unified in standard; the general calculation module is used as a core processing unit for processing and calculating data and adopts a pluggable design; the functional module management unit is used for managing and monitoring each functional hardware module and has hot plug control and fault diagnosis functions; the module quick positioning and mounting system comprises a positioning mark and a mounting and fixing device and is used for realizing quick positioning and mounting of the functional hardware module; according to the invention, through modular design of hardware functions of the self-service terminal, the flexibility and expandability of equipment are improved, and rapid iteration and flexible deployment are realized.

The invention discloses a computer industrial controller and a control system thereof, and relates to the technical field of industrial controllers. The computer industrial controller and the control system thereof comprise an industrial controller hardware module and a control system software module, and the industrial controller hardware module comprises a core processing module, a storage module, a communication module, a power management module, a safety module, an input and output module and a display module. The control system software module comprises an operating system, an AI application module, a data processing and management module, a communication management module and an equipment management module, the computer industrial controller and the control system thereof have the advantages that the system is autonomous, controllable and safe in supply chain, all components are domestic, 100% autonomous and controllable are realized, and the safety of the supply chain is effectively guaranteed.

The invention relates to the technical field of glucometers, and discloses an intelligent multifunctional glucometer supporting data cloud storage and remote analysis, which comprises hardware, detection, data processing, wireless communication, a cloud server platform and an interactive terminal module to form a complete data closed loop. The hardware module is composed of an upper shell and a lower shell which are clamped, and the upper shell is provided with a detection port, an operation button and anti-skid lines. The detection module is integrated with an electrochemical sensor array and can synchronously detect blood glucose, uric acid, ketone body and blood fat. The data processing unit processes data in real time to generate a health report, and the wireless communication module supports multi-mode communication and encrypted transmission. The cloud platform stores data and outputs suggestions through machine learning, and the interactive terminal supports biological recognition and voice broadcast. The modules cooperate to realize multi-index detection, cloud analysis and intelligent interaction. The system has the advantages of multi-index synchronous detection, data security intelligent analysis and convenient interaction, and supports data cloud storage and remote analysis.

The invention provides a modularized multifunctional sensing node and ad hoc network communication system, which comprises a node construction module, a sensing node is formed by combining a basic unit and a pluggable function module through an intelligent interface, and metadata containing type identification and functional characteristics are arranged in the function module; the dynamic adaptation module monitors the plugging state of the function module in real time, dynamically loads driving resources based on metadata, and configures a power management strategy and a communication protocol selection strategy; and the intelligent networking module dynamically optimizes a routing path by periodically exchanging capability information among the sensing nodes in combination with link quality, capability information and network load, and triggers a dynamic gateway election mechanism when a fixed gateway fails. According to the invention, plug and play and resource adaptive configuration of the hardware module are realized, the flexibility, expandability and network robustness of the system are improved, and the method is suitable for distributed sensing application in a complex environment.

The invention discloses an intelligent zinc-aluminum coating quality monitoring method and system for a wind power blade bolt, and solves the problems that internal defects of a coating cannot be found in an early stage and predictive maintenance cannot be realized in the prior art. The method comprises the following steps: acquiring multi-source monitoring data of coating internal defects, interface micro-strain and corrosion states through a terahertz imaging unit, a pre-embedded FBG sensing unit and a microelectrode array ECN acquisition unit which are integrated on an inspection robot; after carrying out local preprocessing by utilizing an edge computing gateway, synchronizing data to a digital twinborn analysis platform deployed with a coating state intelligent evaluation model so as to output a current health state grade and residual life prediction of the coating; finally, a maintenance decision suggestion is automatically generated or an equipment control instruction is triggered based on the result, closed-loop monitoring from state sensing to intelligent execution is formed, and the system comprises a corresponding hardware module and a software platform and is used for achieving the method.