Overview of Yokogawa AAI841-H03 S1 Analog Input Module
Yokogawa AAI841-H03 S1 is a high-performance 16-channel analog input module, specifically designed for industrial automation applications. As a component of Yokogawa CENTUM VP and CS 3000 distributed control systems (DCS), it can provide reliable signal acquisition from field devices including transmitters and sensors. This module is integrated into the Field control station (FCS) I/O system to ensure accurate process monitoring and control.
Technical Specification
Model: AAI841-H03 S1
Input configuration: 16 isolation channels
Signal range: Compatible with 4-20ma and 0-20ma DC signals
Conversion resolution: 16-bit analog-to-digital conversion
Measurement accuracy: ±0.1% at full scale
Communication protocol: Supports HART digital communication
Isolation: Separate channel isolation and grounding isolation
Power consumption: Approximately 1.4W
Environmental conditions:
Operating temperature: 0-55℃
Storage temperature: -20 to +70℃
Humidity range: 5% to 95% RH (no condensation)
Installation method: Compatible with NTB terminal sockets
Redundancy: Supports redundant configuration
Key characteristics
The AAI841-H03 S1 module provides HART protocol compatibility and enables digital communication with intelligent field instruments to improve diagnosis and parameter configuration. Its isolated input channels enhance signal integrity by minimizing electrical interference, making it suitable for industrial environments with high noise levels. The compact 16-channel design optimizes the control cabinet space and simplifies installation.
Industrial application
This module is typically deployed in process industries such as oil and gas, chemical processing and power generation, where precise analog signal acquisition is indispensable. Its seamless integration with Yokogawa CENTUM DCS platform makes it the preferred solution for large-scale automation systems that require high reliability.
Maintenance and diagnosis
Supports hot-swappable replacement without the need for shutdown maintenance. Combined with Hart-based diagnostic functions, it can promote predictive maintenance by monitoring the operational status of on-site equipment, thereby enhancing operational efficiency and reducing unplanned downtime.
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