Application of the whole machine in the field of industrial automation

Nov 05, 2024 Pageview：55

GF-605EI-S Featured Features
1. Adopting Intel ® Alder Lake-U/P/H, Raptor lake-U/P  Core ™ i7/i5/i3  Series CPU processors, supporting up to 28W TDP CPU
2. 2xDDR4 SO-DIMM memory, maximum support for dual channel 64GB
3. Supports three displays: 1xVGA, 2xHDMI (supports) 4K@60Hz ）, supports synchronous/asynchronous display function
4. 2xIntel 1210-AT high-performance gigabit network card (optional: 4xIntel 1210-AT)
5. 10xUSB (6xUSB3.2, 4XUSB2.0), 4xCOM (6 COM ports can be expanded through the motherboard, including 8 RS-485 ports)
6. 1xM.2 M-Key (2242/2280), supports NVMe/SATA3.0 protocol adaptation and has a built-in 2.5-inch hard drive slot for SATA3.0 protocol
7. 1xM.2 E-Key (2230) supports Wi Fi/BT, 1xMini PCle supports 5G/4G (with built-in SIM slot)
8. Wide voltage power supply DC in 9-36V, with short circuit, overvoltage and overcurrent protection

 
9. Provide two isolated CAN channels, support CAN2.0A/B protocol, comply with ISO/DIS11898-1/2 standard
10. Provide 8 channels of optoelectronic isolated digital input (isolation voltage 3750Vrms), with an optocoupler conduction voltage range of DC12V~24V. Provide 8 isolated DO channels, with DO as the OC gate output. The maximum output current for a single channel is 500mA, and the maximum voltage is DC50V
11. 0S Recovery hardware level system restore function, which can achieve one click system restore with just one press in case of system crash caused by power failure, software incompatibility, etc.
 
The application of this whole machine in the field of industrial automation is mainly reflected in the following aspects:
1. Data processing and analysis: In industrial automation, a large amount of data needs to be processed. Edge computing can perform local data processing and analysis near the device, reduce the time of data transmission, and improve the real-time and response speed of the system. This helps to improve production efficiency and reduce operating costs.
2. Equipment monitoring and troubleshooting: By using edge computing technology, each equipment can monitor and analyze its own status in real time, respond quickly and troubleshoot, thus reducing system downtime and production costs.

 
3. Security Enhancement: Traditional industrial automation systems often face security issues such as network attacks and data breaches. Edge computing technology reduces the risk of data transmission and improves the security of the system through local processing and storage of data near devices and sensing resources.
4. Production scheduling and optimization: edge computing technology can be used to schedule and optimize the factory production process in real time, so as to achieve the goals of high efficiency, energy conservation, environmental protection, etc. in the production process.
5. Connection and control of IoT equipment: use edge computing technology to connect IoT equipment and sensors with industrial equipment and systems to achieve intelligent and automatic control of industrial equipment.