204 results about "ARM architecture" patented technology

Disclosed is a vehicular communication system for a mobile self-organizing network, which relates to communication technology among a vehicular hardware terminal platform, vehicular self-organizing network communication, vehicular positioning, a vehicular network and other networks in certain ranges, and belongs to the vehicular self-organizing network related technical field. The system is characterized in that the hardware terminal platform of the system comprises a main board based on ARM framework, a wireless network communication device, an audio device, a GPRS/CDMA modem, a GPS satellite positioning receiving device, a storing device, a liquid crystal display with a touch screen, a GPRS/CDMA Ethernet card and the like. The communication system provides the vehicular communication hardware platform for the mobile self-organizing network, a network condition monitoring method and the relative communication technique; the communication system can be applied to the various geographical environments, can realize real-time vehicular status monitoring and road environmental condition monitoring, and can manually select, enquiry and control the relative information; and the system can automatically record, alarm and warn the emergent accidents in surrounding area.

The invention relates to intelligent equipment, belongs to the field of intelligent home equipment, and particularly relates to an intelligent home robot. The intelligent home robot comprises a data collecting module, an experience knowledge base, a man-machine interaction module and an intelligent control module. The intelligent home robot has the following advantages that many kinds of data collecting equipment are integrated so that the robot can adapt to the home environment; a mobile internet interface is integrated, and therefore remote intelligent control over the robot can be achieved; based on an ARM framework hardware platform, the equipment structure is simpler, and maintenance and use are convenient; based on an Android operation system, an application program can be developed and upgraded more conveniently.

The invention relates to a calculation resource virtualization method of a networked test system. The method comprises the following steps of step1) using an LXC to realize container virtualization of an apparatus calculating resource; step2) constructing a container network connection model and realizing interconnection among containers; and step3) distributing container network bandwidths. By using the method, under the condition that a network test task is not interfered and destroyed, the idle calculating resource of the apparatus is opened to a system layer so that the apparatus is participated in data processing and operation of the system layer and localization pretreatment of test data. Through a mode of reasonably configuring LXC kernel characteristic, stand-alone LXC container virtualization of an ARM architecture is realized. By using the method of the invention, on aspects of system resource utilization rate increase, master control computer calculating pressure alleviation and network transmission data volume reduction, high feasibility and rationality are possessed; and an actual application demand can be well satisfied.

The invention discloses a multiple operation system switching method applicable to ARM (advanced risc machine) framework mobile equipment and belongs to the technical field of an operation system of mobile equipment. The multiple operation system switching method includes: initializing equipment for internal storage, internet equipment, a watchdog and I/O (input/output) firstly after the ARM framework mobile equipment boots, entering a selection interface of the operation system, setting corresponding booting parameters by a boot loader according to the operation system selected by a user, sending booting interrupt to a server end, searching a corresponding system kernel and file systems by a server after an interruption signal is truncated by the server, loading the system kernel to a client end in the form of files, burning into a set Flash partition before booting, mounting the file system under a root directory directly via an nfs (network file system) network protocol, and completing network booting of the operation system. By the aid of the multiple operation system switching method, preinstallation of the operation system on the ARM framework mobile terminal equipment is not required, and the purpose of realizing booting multiple operation systems via the network without local operation system is achieved.

An optical proximity correction (OPC) embedded-type remote data collecting system and a method based on ARM framework comprise an OPC client, an OPC server, a communication server, a real-time database and a data processing module. The invention provides an OPC embedded-type remote data collecting system based on ARM framework, remote data collecting from an industrial control network is achieved and the collected data is sent to the real-time database of a managerial network. Due to the fact that the industrial control network and the managerial network are safely isolated from a hardware architecture and an operating system, virus on the managerial network is prevented from attacking the industrial control network and the safety of the industrial control network is guaranteed. The OPC embedded-type remote data collecting system based on ARM framework is multifunctional system integrating the data collecting and the security isolation.

A microprocessor includes hardware registers that instantiate the Intel 64 Architecture R8-R15 GPRs. The microprocessor associates with each of the R8-R15 GPRs a respective unique MSR address. The microprocessor also includes hardware registers that instantiate the ARM Architecture GPRs. In response to an ARM MRRC instruction that specifies the respective unique MSR address of one of the R8-R15 GPRs, the microprocessor reads the contents of the hardware register that instantiates the specified one of the R8-R15 GPRs into the hardware registers that instantiate two of the ARM GPRs registers. In response to an ARM MCRR instruction that specifies the respective unique MSR address of one of the R8-R15 GPRs, the microprocessor writes into the hardware register that instantiates the specified one of the R8-R15 GPRs the contents of the hardware registers that instantiate two of the ARM Architecture GPRs registers. The hardware registers may be shared by the two Architectures.

The invention discloses a chip-type digital relay protection system comprising a Cortex-A9 processor with a protection function, a Cortex-A9 processor with a management function, a field programmable gate array FPGA, an AMBAAXI bus, a cache and an on-chip static random access memory SRAM, all of which are in an SOC chip. The dual-core Cortex-A9 processor is connected with the field programmable gate array FPGA through the AMBAAXI bus, the cache and the on-chip static random access memory SRAM. The FPGA has an SV/GOOSE/MMS all-in-one optical fiber interface and a debugging optical port. The high-performance SOC chip with an FPGA plus dual-core ARM architecture is adopted to implement a chip-type digital relay protection device. The original complex multi-chip hardware architecture is simplified. The reliability and stability of the digital relay protection device are improved.

The invention provides a simulator device and method for operating ARM APKs on an x86 framework. The Android simulator device comprises an APK installation module, an APK operation module and a CPU command translating module, wherein the APK installation module is used for analyzing the installed APKs and marking the APKs of an ARM-contained dynamic linking library, the APK operation module enables the started APKs to be operated on corresponding virtual machines according to marks made by the APK installation module, the virtual machines includes the virtual machine based on the x86 framework and the virtual machine based on an ARM framework, the CPU command translating module enables a CPU command of the APKs operated on the virtual machine based on the ARM framework to be translated into an x86 command.

The invention relates to the field of electric vehicle charging, in particular to a safety intelligent electric vehicle charger and a control method thereof. According to the scheme, the safety intelligent electric vehicle charger comprises an electric vehicle interface, an ARM (advanced RISC machines) master control unit. The ARM master control unit is connected with an intelligent charge billing module, an RFID (radio frequency identification) card recognition module, a man-machine interaction module, an electrical protective module and a remote communication module. The ARM master control unit, the intelligent charge billing module, the RFID card recognition module and the man-machine interaction module are in ARM architectures. The safety intelligent electric vehicle charger has the advantages that the charger is capable of accurately judging accidents and quickly responding in case of various accidents and capable of independently handling problems of an operating device in a short time, accidents are reduced, loss caused by the accidents is reduced to the maximum extent, and operation of a power grid is safer and more economical; the charger is functionally and modularly set, and accordingly, the functional structure of the charger can be managed and technological development is easier.

The invention discloses a high-performance hydrology and water resource RTU (remote terminal unit) based on an ARM (advanced RISC machine) framework and a power consumption control method of the RTU. A plurality of high-performance embedded type CPUs (central processing units) are adopted to constitute a host system of the RTU, a logical structure of the host system consists of three main function modules: a main control module, a data acquisition module and a power supply control module; each module is divided into a plurality of function sub-modules, and each function sub-module only accomplishes single functional mask; and the modules and the function sub-modules thereof are combined and operate alternatively under the unified sequential control, the minimum number of operating modules at any time is guaranteed, and accordingly, the overall power consumption is optimal. With the adoption of the scheme, the overall power consumption is greatly reduced while the overall performance of the terminal unit is guaranteed.

The invention discloses an ARM-based fruit type and color sorting method and system. the ARM-based fruit type and color sorting method comprises the following steps that S1, image capture is conductedon various fruits through a camera module in embedded equipment of an ARM architecture; S2, all images are classified once according to the types of the fruits, and then the same type of fruits are classified for the second time according to colors of the fruits; S3, a deep learning framework is built on a PC, the type images and the color images are trained correspondingly through the PC, and atype recognition model and a color classification model are obtained; S4, the fruits are sorted through the embedded equipment of the ARM architecture, image capture is conducted through the camera module, specific to captured images, the fruits are located the fruit types are recognized through a full convolutional network, then color classification is conducted on each fruit through the full convolutional network, and check results are obtained; and S5, according to the check results, a manipulator is controlled automatically to sort the fruits.

The invention discloses an Android device-based ARM container running environment construction method. The method specifically comprises the steps of customizing an android kernel based on an android operation system in an ARM framework, and adding mechanisms such as cgroup, namespace and the like necessary for container running; customizing a runnable container running in the ARM framework; realizing a container management tool running in the android system, thereby facilitating container running and management; and substituting the compiled android kernel into the android device, transplanting the runnable container created by x86 to the android device, and realizing successful and stable running of the container in the android device by utilizing the container management tool. For container running conditions, the android kernel is re-customized and compiled, and the runnable container in the ARM framework is customized to support operation system level virtualization in the android device.

The invention belongs to the technical field of networked large data monitoring and analyzing, and particularly relates to an integrated configurable industrial information monitoring, analyzing and controlling system. An AM3359 industrial grade ARM architecture processor is adopted, a highly-integrated data acquisition and analysis system is developed and designed, and a 16-channel standard analog input channel, a 16-channel standard digital control output interface and an external 14-channel universal serial bus interface are provided; QT development is applied to an information monitoring and analysis system, the high-liberalization configurable function is achieved, the information monitoring and analysis system can be suitable for different kinds of large data monitoring targets and various site environments, and therefore multi-site multiplex monitoring control is achieved; the industrial grade Ethernet transmission mode and the GPRS wireless data transmission mode are adopted for a data communication system and the reliability of data transmission is guaranteed to the largest degree. The integrated configurable industrial information monitoring, analyzing and controlling system is high in integration degree, a plurality of functions of data acquisition, processing, analysis, storage, transmission, control, report printing and the like are integrated into the unified system, the system functional redundancy is reduced, and the system efficiency is improved.

The invention discloses a method and device for achieving migration of distributed application systems between platforms. The method comprises the steps of obtaining the number n of nodes required by the target platform, utilizing the size of the total data capacity of all nodes of the source platform, determining the size of data storage space of each of the n nodes of the target platform, configuring an operating system of the target platform according to hardware of the n nodes of the target platform, configuring the distributed application system of the target platform according to the distributed application system of the source platform, and respectively migrating application data on the source platform to the n nodes of the target platform according to the size of the data storage space of each node of the target platform after the operating system and the distributed application system of the target platform are configured. According to the mode, the method and device can support the migration from a traditional X86 architecture server to an ARM architecture server, and support M-node migration scenarios of the N nodes of the distributed application systems.

The embedded engineering machine monitor includes control center to send command, lower computer to transmit information upwards, and monitor comprising casing, display, keyboard, power supply interface, serial port, USB port, JIAG port, CAN port, power switch, reset switch and circuit board inside the casing. The circuit hardware structure includes ARM architecture 32 bit embedded microprocessor as kernel, great capacity external memory, keyboard interface circuit, liquid crystal screen interface circuit, CAN bus interface circuit, RS232 interface circuit and USB interface circuit. The software structure is opened source code real-time operation system. The monitor has high integration degree and performance/cost ratio and simple structure and makes it possible to realize intelligent monitoring of engineering machine economically.

The invention provides a method of identifying a real machine and a simulator. The method includes the following steps: executing an instruction located at a specific memory address; writing an instruction to the specific memory address; circularly executing the instruction located at the specific memory address; judging whether the written instruction is executed; if yes, identifying a terminal as the simulator of an X86 architecture; and otherwise, identifying the terminal as the real machine of an ARM architecture. According to the method, application behaviors are tracked and detected through execution results of the instruction to identify the simulator on the basis that the architectures adopted for the simulator and the real machine are different, the problem of how to carry out defending by an Android application market against adopting the simulator for application quantity counterfeiting is solved, and legitimate interests of application developers and consumers are ensured.The invention also provides a device of identifying the real machine and the simulator and the terminal.

The invention discloses a server platform based on a universal ARM (Advanced RISC Machine) architecture. The server platform comprises a redundant power supply, a main board, CPU (central processing unit) nodes, a gigabit Ethernet switch, a host management server and a hard disk module, wherein the redundant power supply converts commercial power into a standard ATX (Advanced Technology Extended) power supply or a 12V single power supply, and supplies the preferential power to the main board; the main board carries the CPU nodes, supplies electricity to each CPU node, and sequentially electrifies each CPU node according to the time intervals; each CPU node is connected with the hard disk module; the hard disk module is used for expanding the system storage volume; the CPU nodes use the gigabit Ethernet switch to perform communication among the CPU nodes; each CPU node is operated through a gigabit Ethernet; and the host management sever controls the main board through the Ethernet switch. The server platform based on the universal ARM architecture provided by the invention has the advantages that the power consumption is low; the performance is high; and the hot plugging and the hot unplugging are supported.

The invention pertains to an electric power automatic measurement and control technology, in particular to a method for collecting and processing electric power data, which is characterized in that: a high-performance embedded processor DSP plus ARM architecture is adopted, a collecting and processing terminal and a control terminal simultaneously adopt a synchronous sampling method based on a DSP/BIOS facility and an embedded Linux deployment software facility respectively, thus configuring an algorithm allocation module to realize the collecting and the processing of the electric power data, wherein, the synchronous sampling method adopts self-adaptive periodic change software, the signal period is carried out the real-time measurement and an accumulated deviation is controlled within a minimum timing unit of a timer. The invention is designed against the detection and monitoring instruments of an electric power system, which can complete the multi-channel synchronous sampling, integrate the collection and the sampling together, scientifically and reasonably realize the synchronous sampling of the electric power data and further meet the requirements on multi-channel, high-precision, strong real-time property and automation of the electric power data.

The invention discloses a method for directly accessing hardware data into a big data platform. The method comprises the following steps: acquiring hardware equipment data and sending the data to an Internet of Things computing gateway; performing edge computing on the acquired data by The Internet of Things computing gateway, compressing the high-frequency repeated data according to change conditions, and performing computing to obtain prediction and alarm data; Data after edge calculation and prediction and alarm data are submitted to a big data warehouse of a distributed architecture, and achieving real-time warehousing of the collected data. The Internet of Things computing gateway based on the ARM architecture has the advantages that the overall architecture of the Internet of Thingscomputing gateway based on the ARM architecture for compressing and computing the front-end acquired data reduces the dependence on a cloud server, reduces the expenditure of the server, and is quickin response and high in reliability. According to the method, multi-dimensional information prediction based on artificial intelligence and deployment of the distributed bins are realized in a front-end severe environment, and the problems that a computer based on an X86 architecture cannot meet the front-end severe environment and a computing queue is too long, prediction cannot be performed in time and the bins cannot be distributed discretely due to centralized computing of a server are solved.

The invention discloses a calculation optimization method based on a heterogeneous platform for a human face area filtering method. The method herein includes calculation optimization of the human face area filtering method conducted on an X86 configuration platform and an ARM configuration platform. According to the invention, on the X86 configuration platform, the method includes the following steps: on a single-core processor, starting the use of a single thread, and on a double-core processor, starting the use of a multi-thread; in each thread, adopting a SSE embedded instruction set, conducting parallel processing on adjacent 8 pixel points at a time. On the ARM configuration platform, the method includes the following steps: on a single-core processor, starting the use of the single thread, and on the multi-core processor, starting the use of the multi-thread; in each thread, adopting a NEON embedded instruction set, conducting parallel processing on the adjacent 8 pixel points at a time. According to the invention, the method, in accordance with parallelizability of the human face area filtering method, uses the SSE embedded instruction set on the X86 configuration platform and the NEON embedded instruction set on the ARM configuration platform and the characteristic of multi-core of the processors. The method effectively increases execution velocity of calculation algorithm and guarantees real-time operation.

The invention discloses a microprocessor-based intelligent dormitory control system. The system adopts the structure that devices inside a dormitory are in remote communication with a user through GSM (Global System for Mobile Communication), and are in short-range communication with a dormitory management total station; and the system utilizes an LM3S9B96 microcontroller in Corte* M3 series of an ARM (Advanced RISC Machine) architecture of the T1 company as a control core to realize intelligent control of college dormitories, provides a reliable way for dormitory security and protection, is applied to dormitories, can realize automatic monitoring of safety situations in dormitories, and also has a function of playing MP3 music or English listening as well as an intelligent characteristic and the like. In the system, at the safety aspect, the multi-sensor detection technology is adopted; wirelessness can be realized, remote monitoring and preinformation of the situations in the dormitories can be realized; not only the intelligent characteristic but also learning and entertainment features can be provided; and the system has a relatively wider application prospect, and has an important significance in terms of safety construction and intelligent promotion of the college dormitories.

The invention discloses a car-mounted terminal for remotely controlling a smart home and a system. The car-mounted terminal mainly comprises a car-mounted CPU based on an ARM frame, a WCDMA wireless network communication module, a Bluetooth communication module, a positioning module, a display module, a smart home remote control application, a voice recognition module, a smart home system central controller and a home control module. According to the car-mounted terminal for remotely controlling the smart home and the system, the intelligent property of the car-mounted terminal system is improved, the operating efficiency of the system is optimized, resources consumed by the system on compatibility are reduced, the response speed is increased, and wide application prospects are achieved.

The invention discloses an LTE-Advanced air interface technology analysis device based on 8 channel carrier wave polymerization The LTE-Advanced air interface technology analysis device based on 8 channel carrier wave polymerization has big throughout and good instantaneity for operation processing like reception and detection of CA and eMIMO signals in a 8 channel, digital demodulation, decoding, analysis and transmission, and base band parallel processing and provides an integrated test device applicable to an LTD-Advance baseband, a physic layer, a physical layer and a high level protocol stack index test. The carrier wave polymerization LTE-Advanced air interface technology analysis device belongs to a desk type portable device, and is clear in design principle, reasonable in structure, easy to expand and low in cost. The LTE-Advanced air interface technology analysis device has following characteristics: 1 an independent 8 channel radio frequency design supports a CA test and an eMIMO test; 2 parallel 8 channel baseband performs synchronization processing and supports real-time demodulation of the physical layer; and 3 an embedded type FPGA + DSP + ARM architecture solves a high throughout parallel test. Through above arrangement, a 8 channel carrier wave polymerization LTE-Advanced air interface test demand is realized. Besides, the LTE-Advanced air interface technology analysis device can maximally support an air interface 8 antenna 5 carrier wave polymerization analysis real time processing, and is high in testing efficiency.

The invention provides a dual-control vehicle-mounted terminal device and a method based on X86 and an ARM (Advanced RISC Machine). The dual-control vehicle-mounted terminal device at least comprises a CPU (Central Processing Unit) adopting an X86 framework and an MCU (Micro Controller Unit) adopting an ARM framework, wherein the CPU is used for running an android system and connected with a display screen; and the MCU is used for monitoring a CAN (Controller Area Network) bus of a vehicle and connected with the CPU. The MCU feeds the data of the CAN bus of the vehicle back to the CPU in real time, and the CPU displays the data on the display screen through a vehicle condition information module; and meanwhile, the MCU controls a power supply state of the CPU through a power chip, automatically turns off a power supply of the CPU when the vehicle is stopped, and enters into a deep sleep mode. According to the invention, the android system can be run through the CPU, the power consumption is effectively reduced, and the remote anti-theft function is also comprehensively achieved to meet the security and protection demands at the same time.

The invention discloses a system and a method for realizing high-speed interconnection and intercommunication based on SDN (Software Defined Network) and NFV (Network Function Virtualization) technologies, the system mainly comprises a hubCPE (Customer Premise Equipment) and a plurality of CPEs (Customer Premises Equipment), and the hubCPEs are respectively interconnected with each CPE through data tunnels. the hubCPE hardware unit supports an X86 architecture, and the hubCPE software unit comprises a VPP, a web system, a vCPEProxy system and Mysql; the CPE hardware unit supports an X86 architecture and an arm architecture, and the CPE software unit comprises an OVS and an auto-negotiation program. The method comprises the steps that the CPE initiates a registration request to the hubCPE according to a user-defined online protocol; the hubCPE analyzes the registration request; If the CPE matched with the registration request is approved, the hubCPE returns a message of successful registration; The CPE sends a keepalive message to the hubCPE; And according to the first keepalive message sent by the CPE, creating a tunnel matched with the CPE in the VPP, and feeding back a received response. Through the method and the device, the operation efficiency and the operation and maintenance efficiency of the IP network can be greatly improved, the processing efficiency and the processing flexibility of the network data are improved, and popularization is facilitated.