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What is a Smart Position Sensor?

Published in Smart Sensors 3 mins read

A smart position sensor is essentially a position sensor that incorporates built-in processing capabilities. It's a device designed to measure the position of an object and then use integrated computing resources to perform specific functions or process the collected data before transmitting it.

Understanding the "Smart" Aspect

Drawing from the provided reference, a smart sensor is defined as "a device that takes input from the physical environment and uses built-in compute resources to perform predefined functions upon detection of specific input and then process data before passing it on."

Applying this to a position sensor, the input from the physical environment is the position data (e.g., linear, angular, or rotational position). The "smart" part comes from the integrated computational resources. Instead of just outputting a raw position signal, a smart position sensor can:

  • Process data: Filter noise, scale measurements, perform calculations, or convert data into different formats.
  • Perform functions: Trigger actions based on specific position thresholds, apply compensation for environmental factors (like temperature), diagnose its own health, or communicate using advanced protocols.
  • Communicate: Send processed data or status information digitally over various networks (e.g., Ethernet, CAN bus, IO-Link).

Essentially, a smart position sensor moves some of the data processing and decision-making away from a central controller or PLC and into the sensor itself, making it more autonomous and capable.

Key Features of Smart Position Sensors

The integrated intelligence of a smart position sensor enables several beneficial features:

  • Enhanced Accuracy: Built-in processing can apply compensation algorithms to improve measurement precision regardless of environmental changes.
  • Condition Monitoring: The sensor can monitor its own performance, detect potential issues, and report its health status.
  • Predictive Maintenance: By analyzing position data over time or detecting anomalies, the sensor can signal potential failures before they occur.
  • Simplified Integration: Processed data can be provided in a format that is easier for control systems to use, and advanced communication interfaces streamline connectivity.
  • Configuration & Calibration: Many smart sensors allow for digital configuration and remote calibration, simplifying setup and maintenance.
  • Parameterization: Users can often set thresholds, filter levels, or measurement ranges directly within the sensor.

How They Compare

Feature Traditional Position Sensor Smart Position Sensor
Processing Outputs raw analog or simple digital signal. Uses built-in compute resources to process, filter, or analyze data.
Data Output Raw measurement. Processed data, status information, diagnostic reports.
Functionality Measures position only. Measures position, performs predefined functions, monitors health, communicates digitally.
Complexity Simpler, relies on external processing. More complex internally, simplifies external system design.
Communication Analog, simple digital (e.g., ON/OFF, pulse). Advanced digital protocols (IO-Link, Ethernet/IP, PROFINET, etc.).

Applications

Smart position sensors are valuable in various industries where precise, reliable, and intelligent position data is required. Examples include:

  • Industrial Automation: Monitoring and controlling the position of robotic arms, actuators, valves, and assembly lines.
  • Mobile Equipment: Tracking the position of booms, outriggers, steering systems, or forklifts in harsh environments.
  • Aerospace: Monitoring flight control surfaces, landing gear, or engine components.
  • Medical Devices: Ensuring precise movement in imaging equipment, surgical robots, or patient handling systems.
  • Packaging Machinery: Controlling the exact positioning of products or materials.

By integrating computing power, a smart position sensor provides more than just a measurement; it offers valuable data, diagnostics, and potentially even control functions at the point of measurement, leading to more efficient and reliable systems.