Product Details
Product Description
The Emerson Remote Node Controller Base, model 1C31205G01, is a structural and communication interface unit designed for Ovation distributed control systems. This base module accommodates up to two Remote Node Modules and provides direct connectivity to multiple I/O branches. It integrates addressing functionality through a rotary switch and expands system communication via a D-connector interface.
Technical Specifications
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Manufacturer: Emerson
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Model / Part Number: 1C31205G01
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Category: PLCs / Machine Control
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Subcategory: Remote Node Controller Base
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Capacity: Holds up to two Remote Node Modules
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Connectivity:
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Direct interface to two I/O branches
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D-connector supports up to six additional I/O branches using local I/O communication cables
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Addressing: Rotary switch for node identification and configuration
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Integration: Connects to the Remote Node Transition Panel
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Shipping Weight: 2 kg
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Design Features: Rugged industrial-grade construction for reliable operation in distributed control environments
Application Scenarios
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Provides the physical and communication base for Remote Node Modules in Ovation systems.
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Enables flexible expansion of I/O branches for large-scale process control.
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Suitable for industries requiring scalable distributed control, such as power generation, petrochemical, and water treatment.
FAQ
Q: How many Remote Node Modules can this base hold? A: The 1C31205G01 supports a maximum of two Remote Node Modules.
Q: What is the purpose of the rotary switch? A: It allows configuration of node addressing for proper identification within the control system.
Q: How many I/O branches can be connected? A: Two branches are directly supported, with up to six additional branches via the D-connector interface.
Q: How does this differ from the Remote Node Personality Module? A: The Controller Base provides structural support and branch connectivity, while the Personality Module manages fiber-optic communication and power monitoring.
Additional Information
- 100% Genuine Parts: All products are original and authentic, ensuring reliable industrial performance.
- 30-Day Refund Guarantee: Return any in-stock item within 30 days in original, unopened packaging for a full refund (excluding shipping and fees).
- 12-Month Warranty: Covers defects in materials or workmanship; excludes misuse, normal wear, or unauthorized modifications.
- Worldwide Shipping: We ship via USPS, UPS, FedEx, and DHL. Delivery times vary by country and may be subject to customs or import fees.
- Support & Contact: Technical and warranty assistance is available anytime. Contact us here: Contact.
- Purchase Guidance: Check product specifications and compatibility carefully before ordering to ensure proper application.
Tech & Buying Guide
Implementing FIFO and LIFO Data Sequencing in PLC Programming
Data management serves as a cornerstone of modern industrial automation. Whether tracking materials on a conveyor or managing batch sequences in a process, engineers frequently rely on sequential logic. Two primary structures—First-In-First-Out (FIFO) and Last-In-First-Out (LIFO)—form the bedrock of this data handling. Mastering these blocks allows programmers to optimize complex machine operations efficiently.
Evolving SCADA System Architectures in Industrial Automation
A robust Supervisory Control and Data Acquisition (SCADA) system serves as the heartbeat of modern industrial operations. Understanding SCADA system architecture is vital for engineers designing efficient control systems. These architectures have evolved from isolated, monolithic structures to highly interconnected, networked ecosystems. Choosing the right design requires balancing data visibility, processing power, and long-term scalability requirements.
Choosing the Right Controller: PLC vs. Motion Controller in Industrial Automation
Selecting the optimal control architecture is a foundational decision in industrial automation. Engineers must frequently choose between a Programmable Logic Controller (PLC) and a dedicated Motion Controller. While both systems manage machinery, their underlying design philosophies differ significantly, impacting performance, scalability, and system integration.