ICS TRIPLEX T8110C: Trusted TMR Processor for Industrial Control Solutions

Processor Architecture:Highly integrated single-chip design

Operating Voltage Range:9-36 VDC

Clock Speed:200 MHz

Core Technology:Time-Triggered Multiplication Redundancy (TMR)

Input Channels:8 analog inputs, 8 digital inputs

Output Channels:4 analog outputs, 4 digital outputs

Communication Interface:Ethernet, RS-485

Power Consumption:≤ 3 W

Operating Temperature:-40°C to +85°C

Certifications:UL, CE, ISO 26262

Dimensions:120mm x 120mm x 35mm

    The ICS TRIPLEX T8110C Trusted TMR Processor is engineered with the latest advancements in industrial computing, delivering exceptional performance and reliability. Its compact design allows for easy integration into a wide range of industrial systems, from automotive to manufacturing processes.

    Featuring a Time-Triggered Multiplication Redundancy (TMR) core technology, this processor ensures continuous operation even in the event of component failures, significantly reducing downtime and enhancing system safety. This makes it an indispensable choice for industries where reliability and uptime are critical.

    With its versatile communication interface, the T8110C supports Ethernet and RS-485 protocols, facilitating seamless data exchange with other devices on the network. This feature is particularly advantageous for implementing complex control strategies and integrating with existing infrastructure.

    Equipped with 8 analog input channels and 8 digital input channels, the processor can handle a variety of sensor data, enabling precise monitoring and control. Additionally, it offers 4 analog output channels and 4 digital output channels for efficient actuator control, ensuring accurate and responsive system operation.

    Operating within a temperature range of -40°C to +85°C, the ICS TRIPLEX T8110C is built to withstand harsh environmental conditions, making it suitable for outdoor and industrial applications. Its low power consumption of ≤ 3 W also contributes to energy efficiency, reducing operational costs.