Siemens 6ES5498-1AA31 Analog Input Sub-Module

Input Range:4 to 20 mA

Power Supply:DC 24V

Accuracy:±0.05%

Environmental Conditions:Operating Temperature: -25°C to 70°C, Storage Temperature: -40°C to 85°C

Communication Interface:RS485

Number of Channels:1

Size:Compact, 35mm DIN Rail Mountable

    Integrating advanced technology and robust engineering, the Siemens 6ES5498-1AA31 Analog Input Sub-Module is a reliable solution for real-time data acquisition in industrial automation. Its compact design ensures minimal footprint in your system, making it ideal for space-constrained applications. With a high accuracy of ±0.1% of reading ± 0.5LSB, this module ensures precise measurement, crucial for critical process control scenarios.

    Featuring a response time of ≤ 10ms, it guarantees quick data processing, enhancing the responsiveness of your automation system. The module operates efficiently across a wide temperature range of -20°C to +55°C, ensuring reliability in varying environmental conditions. For storage, it can withstand temperatures from -40°C to +85°C, providing additional flexibility in deployment.

    Equipped with a Profinet communication interface, the Siemens 6ES5498-1AA31 facilitates seamless integration with a wide range of Siemens PLCs and other compatible devices, simplifying system architecture and maintenance. Its low power consumption of ≤ 0.1W ensures energy efficiency, reducing operational costs without compromising performance.

    This Analog Input Sub-Module supports +10VDC to +24VDC operation, making it versatile for various industrial applications. It’s designed with a 1-channel capacity, suitable for monitoring single signals or small-scale processes. The durable and compact construction ensures longevity, backed by Siemens’ commitment to quality and reliability.

    For detailed technical specifications or custom configurations, please contact our sales team. Our experts are ready to assist you in selecting the most appropriate components for your specific application, ensuring optimal performance and cost-effectiveness.