Allen-Bradley 1771-DC Real Time Clock Module
The Allen-Bradley 1771-DC Real Time Clock Module is an essential component designed to provide accurate time and date information within industrial automation systems. This module seamlessly integrates with Allen-Bradley PLC-5 processors, enhancing their capability to manage time-sensitive operations effectively.
Key Features
- Precise Timekeeping: Maintains accurate real-time clock functions, crucial for scheduling and time-based control tasks in automated systems.
- User Interface: Equipped with front panel pushbutton switches and a 4-digit liquid crystal display (LCD) for easy setting and reading of time and date information.
- Processor Integration: Supports block transfer programming, allowing the PLC processor to set or read time and calendar information automatically.
- Security Measures: Offers the option to disable the time-setting function to prevent unauthorized changes to the installed clock module.
Specifications
- Compatibility: Designed for use with Allen-Bradley PLC-5 processors that have block transfer capability and utilize the 1771 I/O structure.
- Display Format: Time displayed in 24-hour military format; for example, 3:00 PM is shown as 15:00 hours. Days of the week are represented numerically (e.g., Tuesday as 2), and years are displayed in two-digit format (e.g., 1984 as 84).
- Dimensions: Measures approximately 1.0″ x 10.0″ x 6.0″ (2.5 cm x 25.4 cm x 15.2 cm).
- Weight: Weighs around 1 lb 16.0 oz (0.9 kg).
Applications
The 1771-DC Real Time Clock Module is ideal for various industrial applications requiring precise timing and scheduling, including:
- Manufacturing automation processes that depend on accurate time-based operations.
- Data logging systems where precise timestamping is essential for analysis and reporting.
- Process control applications that require synchronization of events and operations.
By integrating the Allen-Bradley 1771-DC Real Time Clock Module into your automation system, you can enhance the accuracy and reliability of time-dependent processes, leading to improved operational efficiency and productivity.
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