Product Details
Overview
The Honeywell CC-GDIL01 (51306317-175) is a high-performance digital input module designed for reliable signal acquisition in advanced control systems. It converts field input signals into digital data for processing by Honeywell controllers, supporting stable and precise monitoring of system events.
Technical Specifications
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Model Number: CC-GDIL01 (51306317-175)
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Product Type: Digital Input Module
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Dimensions: 11.2 cm × 5.5 cm × 15 cm
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Weight: 0.35 kg
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Manufacture Year: 2021
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Place of Origin: USA
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Operating Temperature Range: -20 °C to +60 °C (typical industrial range)
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Mounting: DIN-rail or panel installation
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Input Voltage: Compatible with standard field input signals
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Connectivity: Standard connectors for integration with Honeywell controller platforms
Key Features
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Reliable Digital Input Processing: Ensures precise detection of field signals
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Compact Design: Minimal footprint for control cabinet integration
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Industrial-Grade Construction: Durable for long-term operation
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Plug-and-Play Integration: Seamless connection with Honeywell controllers
Application Scenarios
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Chemical and process plants for monitoring field devices
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Utility systems requiring accurate digital signal acquisition
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Manufacturing environments integrating multiple Honeywell controllers
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Any automation system requiring dependable digital input functionality
FAQ
Q: What is the primary role of the CC-GDIL01 module?
A: It collects digital input signals from field devices and transmits them to Honeywell controllers for processing.
Q: Is this module compatible with Honeywell control systems?
A: Yes, it integrates seamlessly with Honeywell automation platforms.
Q: What certifications does this module have?
A: It is CO and CQ certified, ensuring compliance with industrial standards.
Q: What is the module’s weight and size?
A: The module weighs 0.35 kg and measures 11.2 × 5.5 × 15 cm.
Q: Where is this module manufactured?
A: The CC-GDIL01 (51306317-175) is made in the USA.
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.