MOTOROLA VME162PA-252SE

Technical Specifications

  • Processor: It can be equipped with a 25 MHz MC68LC040 enhanced 32 - bit microprocessor with 8 KB cache and MMU (Memory Management Unit), or an optional 25 MHz MC68040 32 - bit microprocessor with 8 KB cache, MMU and FPU (Floating - Point Unit).
  • Memory: Shared DRAM can be 1 MB, 4 MB or 8 MB; 512 KB SRAM with battery backup; 8K x 8 NVRAM; 1 MB of flash memory (1 Intel 28F008SA for older boards or 4 Intel 28F020s for newer boards).
  • Interface: Two serial ports (one EIA - 232 - D DCE; one EIA - 332 - D or EIA - 530 DCE/DTE). Optional SCSI (Small Computer System Interface) bus interface with 32 - bit local bus burst DMA. Optional LAN Ethernet transceiver interface with 32 - bit local bus DMA. Four MVIP IndustryPack interfaces. VMEbus interface (VMEchip2) - non - VMEbus version is optional.
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Functional Features

  • High – performance Processing: The optional MC68040 processor with FPU provides strong computing power, which can handle complex arithmetic operations and floating – point operations, meeting the needs of high – performance computing.
  • Rich Interface Options: It has a variety of interfaces, including serial ports, SCSI interface, Ethernet interface and IndustryPack interfaces, which can be connected to different peripheral devices, such as sensors, actuators, storage devices and network devices, to realize data communication and control.
  • Reliable Data Storage: 512 KB SRAM with battery backup and NVRAM ensure the safety of data during power outages, preventing data loss.
  • Programmable Timers: It is equipped with four 32 – bit programmable timers and a programmable watchdog timer, which can be used for timing control, system monitoring and fault protection.
  • Modular Design: As a VME module, it has a standard modular structure, which is convenient for installation, replacement and system expansion.

Application Scenarios

  • Industrial Automation: It can be used in 生产线控制,process control, and robot control in industrial automation systems, realizing the monitoring and control of industrial equipment.
  • Data Acquisition: It is suitable for data acquisition systems, such as collecting and processing data of temperature, pressure, flow and other parameters in industrial production processes.
  • Aerospace: It can support high – reliability real – time computing and data processing in aerospace applications, such as satellite control systems and aircraft avionics systems.
  • Medical Equipment: It is used in the control and data processing of medical instruments, such as medical diagnostic and treatment equipment, to ensure the accuracy and stability of equipment operation.
  • Energy Industry: It is applied to the monitoring and control of power systems, such as power grid monitoring, power generation equipment control, etc.




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