Brief Function Introduction:
The ABB PM582 1SAP140200R0201 Processor Module is an advanced control solution designed for industrial automation applications. It offers high performance, reliability, and flexibility, making it suitable for various manufacturing processes and control systems.
Product Specifications:
| Operating System: | AB ControlNet |
| Processing Speed: | 200 MHz |
| Memory: | 128 MB RAM, 64 MB Flash |
| Communication Interfaces: | Ethernet, CANopen |
| Power Consumption: | 15W |
| Operating Temperature Range: | -25°C to +60°C |
| Enclosure Type: | IP20 |
| Dimensions (mm): | 125 x 90 x 135 |
Product Details:
The ABB PM582 1SAP140200R0201 Processor Module is engineered to deliver superior performance in industrial automation environments. With its robust design and comprehensive feature set, it enables seamless integration into existing systems while offering enhanced functionality and efficiency.
Featuring a powerful 200 MHz processor, this module ensures fast and accurate data processing, critical for real-time control applications. The onboard memory comprises 128 MB of RAM and 64 MB of Flash storage, providing ample space for application programs and data.
Equipped with Ethernet and CANopen communication interfaces, the module supports flexible network configurations and ensures reliable data exchange with other devices in the network. This capability is essential for implementing complex control strategies across different subsystems.
Operating within a wide temperature range of -25°C to +60°C, the ABB PM582 1SAP140200R0201 Processor Module is designed to withstand harsh industrial conditions, ensuring continuous operation in diverse environments. Its IP20 enclosure type offers basic protection against dust and splashes, safeguarding internal components from environmental hazards.
Compact yet versatile, this processor module measures 125 x 90 x 135 mm, making it an ideal choice for space-constrained applications without compromising on functionality. Its modular design allows for easy installation and maintenance, contributing to reduced downtime and improved operational efficiency.
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