— IC芯片 | 连接器 | 传感器 | 被动器件 —
Product Detailed Parameters
- Description:PLB-5270100 ZVD1 2.3MP PP SMALL
- Series:*
- Mfr:SICK, Inc.
- Package:Box
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Overview
The SICK Inc. model 1127784 is an inclination sensor designed for precise measurement of tilt angles relative to the gravitational field. This device provides reliable feedback on orientation, making it suitable for applications requiring accurate leveling or angular position monitoring in industrial environments. It operates as a dedicated sensing component within automation systems.
Feature Summary
- Provides precise measurement of inclination angles relative to gravity
- Designed for reliable orientation feedback in industrial settings
- Supports integration into automation systems for leveling and position monitoring
Applications
- Machine leveling and alignment
- Tilt monitoring for mobile equipment
- Orientation feedback in automated processes
Procurement Notes
Verify the exact part number 1127784 with the manufacturer or authorized distributor before ordering. Confirm that the specific variant matches your system requirements, as SICK product lines may have multiple revisions or accessory dependencies. Ensure compatibility with your existing control architecture.
Selection Notes
Select this model when high-precision inclination data is required for safety or process quality. Consider environmental factors such as vibration and temperature range during installation. Verify mounting constraints and signal output requirements against your PLC or controller specifications to ensure seamless integration.
Part Context
This component belongs to SICK's portfolio of intelligent sensors for industrial automation. SICK specializes in solutions that enhance efficiency and safety in logistics and manufacturing. The company focuses on integrating sensor intelligence with industry expertise to provide scalable automation solutions.
Replacement Considerations
Consult official SICK documentation for cross-references. No public substitute part numbers are confirmed for this specific model.
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