51 results about "ARM architecture" patented technology

The invention discloses a heterogeneous resource energy-saving optimization scheduling method and system based on computing power perception, and relates to the technical field of modern computing infrastructure, the system comprises a computing power-energy consumption evaluation module, the computing power-energy consumption evaluation module is used for carrying out computing power and energy consumption evaluation on heterogeneous resources, generating and dynamically updating a computing power-energy consumption mapping table, the heterogeneous resources comprise ARM architecture resources, X86 architecture resources and GPU resources. According to the method, the computing power-energy consumption mapping table is generated and updated in real time, so that the scheduling decision is always based on the latest energy efficiency state of the resources, the accuracy of the basic data is ensured, intelligent task classification and dynamic constraint construction are combined, the system can flexibly balance the task performance and the energy consumption target, and particularly, the strategy can be adaptively adjusted for a high-emergency task; the timeliness of key services is guaranteed, the differentiated scheduling strategy serves as an efficient pre-screening mechanism, task requirements and resource architecture characteristics are accurately matched, and the pertinence and efficiency of resource allocation are remarkably improved.

The invention discloses an ARM architecture-based airborne general control board card, which comprises an ARM processor, a reset circuit, a discrete magnitude circuit, an SWD interface for programming software by the ARM processor, and an external connector for being electrically connected with external equipment, one pin end of the ARM processor is interactively connected with a communication circuit with an isolation function, and the other pin end of the ARM processor is interactively connected with a communication circuit with an isolation function. The input end of the ARM processor is connected with a power supply circuit and a reset circuit, the ARM processor is provided with a configurable interface, and the configurable interface of the ARM processor is connected with an analog quantity circuit; according to the invention, discrete magnitude input and output, analog quantity acquisition, RS422 communication and fault storage functions are integrated, signal output or signal input and acquisition functions can be realized, on-line loading, abnormal operation monitoring and power failure reset and restart of SWD interface programming software are realized, and the universal control requirements of adaptive power supply, power distribution and motor type aviation airborne equipment are met.

This invention discloses a real-time attitude estimation system for non-cooperative industrial targets based on strong tracking filtering, relating to the fields of industrial machine vision and automation control technology. This system decouples the complete six-degree-of-freedom attitude estimation problem into a linear translational sub-state space and a nonlinear rotational sub-state space. This decomposes the nonlinear calculations that would normally be performed in six dimensions into a three-dimensional linear problem and a three-dimensional nonlinear problem. The translational sub-state only performs a simplified Kalman gain iteration with closed-form solutions, and matrix operations are simplified to low-order linear recursion. Although the rotational sub-state uses strong tracking filtering, it only needs to perform nonlinear updates in the reduced low-dimensional space. The Jacobian matrix sparsification pre-computation and incremental update unit pre-stores the constant part of the observation equation's derivative calculation offline and only incrementally updates the sparsely changing part online. This allows the system to be fully deployed on ARM architecture edge devices and stably meet millisecond-level processing requirements.

The application discloses a kind of block storage performance automation test method, system, storage medium based on FIO, it is related to cloud computing and storage performance test technical field, it is applied to the cloud platform environment including management node and multiple test nodes.By running environment deployment script on management node, automatically complete test node IP management, SSH password-free configuration, firewall processing and according to X86 / ARM architecture adaptive deployment FIO;Run test execution script, precheck is carried out to test disk and time synchronization, start FIO service on multiple nodes according to preset task queue, in turn complete the stress test of covering 4K / 32K / 128K / 1M block size and random, order, 7:3 mixed read-write scene;Run result arrangement script, automatically parse FIO log, extract and uniformly output the IOPS, bandwidth and latency index of each scene.The method reduces manual operation while improving the consistency and result reliability of block storage performance test.

The invention relates to the technical field of cross-platform software transplantation, in particular to a migration adaptation method for regional numerical weather forecast software. According to the method, through the software adaptation step, the problem of compatibility of an instruction set and a system environment when existing regional numerical weather forecast software migrates from an X86 architecture to an ARM architecture is solved, and native operation of the regional numerical weather forecast software on a domestic platform is achieved; through a containerization packaging step, software and a complete dependency environment thereof are packaged into a standard mirror image, so that one-time construction and deployment at any place are realized, and the problem of deployment complexity in different operating system environments is thoroughly solved; through the verification step, containerized software is operated, strict cross-platform comparison testing is carried out, prediction precision is quantitatively evaluated, service functions are ensured to be complete, results are reliable, and key technical support is provided for autonomous controllable and safe sustainable development of a meteorological core service system.

The invention discloses a self-adaptive bridge section pneumatic shape adjusting device and a control method thereof, and belongs to the technical field of large-span bridge pneumatic control. The device comprises a wind regime monitoring module, a wind regime control module, a deformable pneumatic adjustment module and a power module, and dynamic self-adaptive adjustment of the pneumatic profile is achieved through cooperative work. The wind regime monitoring module collects wind field and bridge vibration data by using a three-dimensional ultrasonic anemometer and an accelerometer; the control module integrates FFT, TDNN algorithms and a pneumatic optimization agent model based on an ARM architecture, extracts characteristic parameters, identifies a vibration state and outputs an optimal control instruction; the deformable pneumatic adjusting module optimizes the streaming form through a guide plate (angle adjustment from-30 degrees to + 30 degrees) and a stabilizing plate (0-0.20 D lifting adjustment); the power supply module adopts solar energy and storage battery hybrid power supply to guarantee reliability. According to the control method, closed-loop control is achieved through data collection, processing analysis, adjustment execution and feedback iteration, wind-induced vibration is effectively restrained, and the wind-resistant safety and economical efficiency of the bridge are improved.

This utility model relates to the field of computer equipment technology, and in particular to an integrated multi-USB remote access server chassis based on ARM architecture. It includes a casing and a heat dissipation assembly installed inside the casing. The casing includes a PCB board, power supply, USB port group, indicator light board, gigabit Ethernet port, and power socket. The heat dissipation assembly includes small heat dissipation vents on the back of the outer wall of the casing and large heat dissipation vents on both sides of the outer wall. Small cooling fans are bolted to the inside of the small heat dissipation vents, and water-cooling components are installed inside the large heat dissipation vents. This utility model, through the dual heat dissipation design of "small heat dissipation vents + small cooling fans" and "large heat dissipation vents + water-cooling components," forms a three-dimensional and efficient heat dissipation system, ensuring that the overall temperature of the chassis remains within a reasonable range, significantly improving the stability of server operation, and extending the service life of the equipment.

The invention relates to the technical field of computers, and discloses a clock synchronization method, system and device and a medium. The clock synchronization method is applied to a virtualization system based on an ARM architecture, the virtualization system comprises a host machine and a virtual machine, and the method comprises the following steps: deploying a clock synchronization drive in the virtual machine; deploying an HVC interface in a host machine; and acquiring current time data from the host machine based on the clock synchronization drive and the HVC interface, and synchronizing the current time data to a system clock of the virtual machine. Through the scheme of the invention, the problems of delay and error caused by network transmission and software processing are solved, and the precision and efficiency of clock synchronization of the virtual machine in a virtualization environment can be improved.

The invention discloses a self-adaptive self-checking method, device and equipment for a single-core MCU based on an ARM architecture and a medium, and the method comprises the steps: executing power-on self-checking in a starting stage of the MCU, and carrying out the initialization detection of a core component of the MCU; in the MCU operation stage, working condition data of the MCU are obtained in real time, and the working condition data comprise load information representing the working state of the MCU and environment information representing external environment conditions; dynamically adjusting a detection strategy of on-line self-inspection according to the working condition data, wherein the detection strategy comprises a trigger period of on-line self-inspection, a detection component range and a detection priority of each component; and executing the online self-inspection according to the adjusted detection strategy. Compared with the prior art, by sensing the working condition information of the MCU in real time and dynamically adjusting the self-checking strategy, full-life-cycle intelligent self-checking with high reliability and high operation efficiency is achieved.

The invention discloses an intelligent Internet of Things three-bit and half-universal meter for a railway train, and belongs to the technical field of electrical measurement equipment, and the design of the intelligent universal meter comprises hardware design and software design. According to the invention, a four-core 64-bit ARM architecture processor RK3568 and a high-precision FS9721 chip are adopted, touch screen interaction is realized by combining an Android system, and automatic gear switching is realized. According to the software design, a communication framework is constructed based on a message queue telemetry transmission (MQTT) protocol, a controllable step length minimum mean square adaptive filtering algorithm and a dynamic temperature compensation algorithm are integrated, and the measurement precision is improved. The innovativeness lies in that an embedded system and the Internet of Things technology are integrated, the problem of data islands of a traditional instrument is solved, and the system can be applied to the fields of industry, power grids, Internet +, test teaching and the like. Test results show that the measurement precision of the device is integrally improved by 30%, and the device has both intelligent and automatic performance. According to the invention, powerful technical support is provided for realizing comprehensive digital debugging.

The invention relates to the technical field of electrical engineering application, and discloses a motor drive control circuit, device and method based on an ARM architecture. The circuit adopts a resolver RDC chip, realizes angle analysis of a dual-channel resolver transmitter through a discrete device scheme, can be applied to high-precision control of a frame-type inertial measurement unit rotating frame, and compared with an existing excitation and decoding module scheme, simplifies a power supply system, greatly reduces device cost, reduces resolver angle measurement noise, improves tracking rate, and has a wide application prospect. And the size and the power consumption of the circuit are greatly reduced, and the purpose of providing a control circuit with low cost, high precision, light weight and miniaturization can be achieved.

The invention provides a virtual resource pool construction method and management method of a cross-instruction-set architecture. According to the method, an OpenStack component is reconstructed to adapt to an ARM architecture, a security environment is constructed by utilizing TrustZone, and unified integration, security isolation and automatic operation and maintenance of X86 / ARM heterogeneous resources are realized based on an Overlay network and an intelligent scheduling algorithm, so that the problems of heterogeneous compatibility, resource scheduling and security management are solved, and the resource utilization rate and the operation and maintenance efficiency are improved.

The application discloses a lightweight virtualization technology suitable for an automobile embedded system. A Type-2 virtual machine management software is adopted, and multiple virtual machines are allowed to run simultaneously on an ARMv8 embedded development board; the virtual machine system supports common RT-Thread and Linux systems. According to the characteristics of the embedded system, a device named recorder is mounted to each virtual machine, the priority of a process (or thread) in the virtual machine is mapped to a host computer, the host computer participates in scheduling decision-making, and the scheduling of the virtual machine is optimized in a targeted manner. Relying on the excellent real-time performance of the real-time operating system RT-Thread and the hardware support of the ARM architecture in the virtualization aspect, the virtualization extension of the RT-Thread system is realized. In addition, according to the characteristics of specific applications, a fine-grained virtual machine scheduling mode is proposed, so that the virtual machine scheduling mode is more suitable for the automobile embedded system.

The application discloses an intelligent garbage classification method and system based on an ARM architecture, and belongs to the technical field of image processing.The application embeds an AlexNet neural network into the ARM architecture, and is used for garbage classification and identification, so that the requirements of high accuracy, short identification time and model updatable are met.Meanwhile, online knowledge distillation technology is used for category incremental learning, so that the performance of the embedded AlexNet network is further improved, and the forgetting problem caused by the incremental learning is avoided.In addition, a plurality of characteristic data are collected through an external multi-sensor, and a self-adaptive weighted fusion algorithm is used, wherein the weight uses a Q-learning algorithm to avoid misjudgment caused by hidden image information and unobvious image characteristics, and the accuracy and generalization ability of garbage classification are improved.

The invention discloses a food cold and hot tunnel intelligent temperature control system, which comprises a central control module, a multi-temperature-zone temperature control module, a layer vehicle positioning and state sensing module, an energy switching module, a data storage and tracing module and an alarm module, and real-time two-way communication among the modules is realized through an industrial Ethernet. The central control module is an embedded industrial controller integrated with an ARM architecture processor and an FPGA chip, through the design of multi-temperature-zone independent regulation and linkage pre-regulation, a plurality of independent temperature zones are effectively separated by silica gel sealing heat insulation layers, and in combination with parameter pre-regulation before temperature zone switching, a reasonable temperature gradient is formed by adjacent temperature zones, so that the temperature gradient of the temperature zones is improved. The quality problems of skin cracking, collapse and the like caused by temperature mutation of the food are avoided; high-precision sensing and closed-loop control are adopted, a high-precision temperature sensor and a high-frequency data acquisition device are adopted to feed back temperature zone data in real time, a high-speed data processing unit is matched to achieve rapid instruction issuing, and a stable temperature control closed loop is formed.

The application relates to a multi-architecture industrial control software reverse analysis method based on a machine language large model. The method comprises the following steps: acquiring machine language codes of industrial control software of ARM architecture and x86 architecture, and converting the machine language codes into unified intermediate representations; encoding instruction sequences of the unified intermediate representations by using a Transformer-based encoder to obtain sequence representations of functions; training a model through a contrast learning framework to enhance semantic representation capabilities of the sequence representations, and realizing function function identification of the machine language codes of the industrial control software based on the enhanced semantic representations; constructing a control flow graph of the functions, processing the control flow graph by using a graph neural network to obtain graph representations of the functions; fusing the sequence representations and the graph representations to form fusion representations of the functions, and performing code similarity matching based on the fusion representations. The method improves semantic understanding accuracy in industrial control software vulnerability mining, cross-platform migration and other scenes.

The invention provides a multi-protocol switching method for mobile zero-carbon digital house mode management, and the method comprises the steps: carrying out the collection and Hash fingerprint extraction of multi-dimensional feature vectors of subsystems, such as energy, environment, convenience service and the like, and building a protocol adaptation strength modeling and dynamic preference atlas; the trusted protocol configuration meeting the requirements of no deadlock, no resource competition and delay upper bound constraint is generated in combination with formalized verification, and compiling, deployment and containerization operation are carried out on an ARM architecture communication coprocessor; according to the method, the link performance is monitored in real time in the operation period, the protocol adaptation preference is dynamically adjusted according to the service quality, a closed-loop adaptive protocol management system is formed, the switching reliability and flexibility of the communication protocol in the resource limited and dynamic load environment are improved, and it is ensured that the target service level is continuously achieved.

The invention discloses a kubernetes container cloud X86 and ARM architecture hybrid rapid deployment method, equipment and a medium, belongs to the technical field of software deployment, and aims to solve the technical problem of how to realize kubernetes container cloud X86 and ARM architecture hybrid rapid deployment, reduce development and operation and maintenance cost and improve the development efficiency. According to the technical scheme, the method comprises the following steps: directly deploying a jar package generated by compiling based on an X86 server and an ARM server to a container cloud, and no longer compiling a Dockerfile to construct a mirror image; the method specifically comprises the following steps: compiling a latest code to generate an application package; the method comprises the following steps: providing an X86 and ARM operating system basic mirror image containing a program running environment; uploading the application packet to the FTP according to the service requirement; the application package runs in the Pod, and the Pod is provided with one or more Init containers which are started earlier than the application container.

The invention provides a field programmable gate array (FPGA)-based micro-electromechanical system (MEMS) gyroscope acquisition method, which comprises the following steps of: controlling a time sequence of an MEMS gyroscope interface, finishing configuration of an MEMS gyroscope, reading back MEMS gyroscope data and processing the data. The invention relates to a method for realizing data acquisition and processing of an MEMS gyroscope based on an FPGA + ARM (Field Programmable Gate Array + Advanced RISC Machines) framework. The FPGA serves as a programmable logic device, has parallel processing capacity and can remarkably improve data processing efficiency; compared with a traditional fiber-optic gyroscope, the MEMS gyroscope has similar performance, but has the advantages of small size, light weight, low power consumption and the like. The FPGA is used for realizing MEMS gyroscope data acquisition, and when the FPGA is applied to an inertial measurement system, the position, speed and attitude information of a moving carrier can be provided, so that the implementation is simple, the cost is saved, and the research and development efficiency of the system is improved.

The invention provides a method for native compilation and deployment of a time sequence interference radar processing tool chain ISCE2 and MintPy on a domestic ARM architecture. Aiming at three bottlenecks of poor compilation compatibility, difficulty in dependency library collaboration and huge virtualization computing power loss faced by migration from x86 to ARM architecture, the method eliminates nonstandard path hard coding errors through a dynamic path repair mechanism, establishes a hybrid dependency scheduling system, solves symbol conflicts and ABI incompatibility, and deeply optimizes an instruction set to realize performance maximization. Through strict verification, the compiling success rate is remarkably improved to 100% from less than 50%, the computing power utilization rate reaches 100%, the global first set of full-function ARM time sequence InSAR processing system is successfully constructed, and the performance approaches or even exceeds that of an x86 platform under the same hardware scale. The method is completely based on an open source scientific calculation library, the commercial authorization cost is avoided, a full-stack localization technical chain from a chip, an operating system to application software is realized, and important localization technical support and diversified selection are provided for satellite remote sensing deformation monitoring and geological disaster early warning.

The invention discloses an integrated navigation system and method based on an FPGA and an embedded processor, and belongs to the technical field of navigation system hardware architecture. The system comprises a multifunctional interface conversion module and a combined navigation acquisition processing module. The multifunctional interface conversion module is used for collecting various navigation sensor information and receiving satellite navigation signals; the integrated navigation acquisition processing module comprises an FPGA chip and an embedded processor based on an ARM architecture, and the FPGA chip and the embedded processor are directly connected through a parallel bus. Through the collaborative architecture of the FPGA and the processor, data acquisition and navigation calculation tasks are separated and processed in parallel, frequent interruption of a calculation core is effectively avoided, the real-time processing capacity and the operation efficiency of the system are remarkably improved, meanwhile, the system has rich peripheral interfaces and high integration level, and the system is suitable for large-scale popularization and application. The technical problem that the calculation performance, the interface completeness and the system integration level are difficult to balance in the existing scheme is effectively solved.

The invention discloses a frequency domain one-dimensional convolution lightweight neural network transformer voiceprint recognition method and system. The problems that in the prior art, samples are insufficient, the feature dimension is high, a model is complex, edge deployment is difficult, and environment robustness is poor are solved. The method comprises the following steps: carrying out acquisition, expansion and category labeling on a transformer sound signal to obtain a labeled voiceprint sample set; performing frequency domain analysis on the sample, and performing frequency superposition dimension reduction according to a set frequency interval to obtain a standardized frequency domain characteristic signal; constructing a lightweight one-dimensional convolutional neural network model for training to obtain a lightweight transformer voiceprint recognition model; and carrying out quantitative compression on the model and deploying the model to edge end equipment to realize real-time voiceprint recognition. According to the method, the feature dimension and the model parameter quantity are greatly reduced, the environmental robustness and the recognition reliability are improved, the method can be flexibly deployed in ARM architecture edge end equipment, and non-intrusive real-time monitoring of the working condition of the transformer is realized.

The invention discloses a cluster server dynamic management and control method, system and device based on an ARM architecture and a storage medium, the system is applied to a host machine and comprises a plurality of containers and a virtualization management and control module, and a software management and control module is arranged in each container. The software management and control module is used for detecting kernel version information of a host machine, detecting version information of a current container and comparing the kernel version information with data information in a preset kernel vulnerability library in real time to generate a priority matrix of version updating, and the virtualization management and control module is used for managing and monitoring each container. And the reference configuration corresponding to the container resource consumption is analyzed, so that automatic monitoring and comparative analysis of the kernel version information are realized, and the container compatibility problem and container fragmentation in the system are avoided.

The invention discloses a method for simultaneously realizing communication and man-machine communication of an intelligent humanoid robot by using a dual-core heterogeneous core, which comprises the following steps of: additionally arranging a dynamic computing power scheduling abstraction layer between an ARM framework communication core and an x86 framework intelligent core of the humanoid robot so as to construct a unified computing power pool, and monitoring a dual-core load state in real time through the abstraction layer; when the load of any kernel is too high, a non-real-time task is dynamically migrated to an idle computing power area of the other kernel, meanwhile, differentiated computing power weights are pre-distributed for the dual kernels based on a human-computer interaction scene pre-judged through visual recognition, and finally, through coordination of an abstraction layer, a communication kernel is responsible for instruction receiving and preliminary analysis, and the task is dynamically migrated to the idle computing power area of the other kernel. And the intelligent core is responsible for making decisions and plans in combination with the tool perception data to realize efficient collaborative response of the two. According to the method, the dynamic computing power scheduling abstraction layer is additionally arranged, computing resources of the dual-core heterogeneous kernel are abstracted into the unified computing power pool, the thinking limitation of traditional static task allocation is broken through, and dynamic reallocation of computing power is achieved.

The embodiment of the invention provides a mixed interrupt processing method and device, equipment, a storage medium and a program product, and belongs to the field of the Internet of Things, and the method comprises the steps: receiving an interrupt trigger signal through a unified interrupt management interface; analyzing the interrupt trigger signal, and determining a target architecture type and a target interrupt type corresponding to the interrupt trigger signal; obtaining a target interrupt number based on the target architecture type and the target interrupt type; determining a target interrupt service routine corresponding to the target interrupt number based on a first mapping relationship between a preset interrupt number and an interrupt service routine; executing a target interrupt service routine, and under the condition that the target architecture type is an RISC-V architecture and the target interrupt type is software interrupt or clock interrupt, the target interrupt number is a virtual interrupt number which is defined in advance based on an interrupt sub-type, and the virtual interrupt number avoids a physical interrupt number range distributed by the platform-level interrupt controller for the external interrupt. The problem of compatibility of interrupt management of the RISC-V architecture and the ARM architecture can be solved.

The utility model discloses a kind of intelligent identification scratch open area of instant lottery ticket scratch open tool, it is related to lottery ticket scratch open tool technical field.The utility model includes operation platform, the one side fixedly connected with conveying mechanism in operation platform top, the top fixedly connected with auxiliary positioning mechanism in operation platform, the other side fixedly connected with adjusting assembly in operation platform top, the one side fixedly connected with identification module in adjusting assembly.The utility model is accurately scanned lottery surface by CMOS sensor, obtains the image information of scratch open area, after being rapidly handled by ARM architecture microprocessor, the size and material quality of different lottery scratch open area can be accurately identified, and the result is stored in 16GB solid state disk, this process does not need manual intervention, solve the positioning deviation problem caused by traditional tool dependence manual judgment scratch open area, greatly improve the accuracy and efficiency of scratch open, especially the identification precision of special-shaped or small size scratch open area is remarkable.

The utility model is suitable for the technical field of displays, and provides a vehicle-mounted fusion display screen based on an ARM architecture. In the vehicle-mounted fusion display screen based on the ARM architecture, the input end of the power supply unit is connected with an external power supply, and the output end of the power supply unit is respectively connected with the first processing unit, the second processing unit and the CPLD; the first processing unit and the second processing unit are connected with the CPLD, the first processing unit is connected with the loudspeaker through a first audio line and a change-over switch in sequence, and the second processing unit is connected with the loudspeaker through a second audio line and the change-over switch in sequence; the CPLD is respectively connected with the control end of the analog switch chip and the control end of the change-over switch; the first processing unit is connected with the input end of the analog switch chip through the first signal conversion chip, the second processing unit is connected with the input end of the analog switch chip through the second signal conversion chip, and the output end of the analog switch chip is connected with the display unit. According to the invention, the redundancy switching can be rapidly carried out when the processing unit fails, and the reliability is high.

The application discloses a kind of NUMA perception parallel computing method and system for ARM architecture, the method includes: obtaining computing task and carrying out type division to computing task, obtain the computing task after division;Determine execution space size and select execution strategy;According to NUMA architecture information, divide execution space, and distribute the execution subspace after division to CPU core;Execute computing task and reduce to computing result, obtain final result.The system includes: type division module, setting module, distribution module and reduction module.The application is reasonably distributed to the CPU core of different NUMA node by the pre-allocation of execution space and the redistribution strategy of computing resource, and performance can be effectively improved.The application is a kind of NUMA perception parallel computing method and system for ARM architecture, and can be widely applied in computer parallel computing field.