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Economical Auto Moment Limiter for Preventing Mobile Cargo Crane Overload.

Soo-Hoon Noh1, Yong-Seok Lee2, Sang-Ho Kim2

  • 1Daihung Heavy Industries, Hongseon-gun 32280, Korea.

Sensors (Basel, Switzerland)
|November 11, 2020
PubMed
Summary

This study introduces an economical auto moment limiter (eAML) to prevent mobile cargo crane overload. This cost-effective system uses mathematical models and sensor data for real-time overload detection and control.

Keywords:
auto moment limitercost effectivenessmathematical model of cargo cranerollover prevention

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Area of Science:

  • Mechanical Engineering
  • Robotics
  • Control Systems

Background:

  • Existing crane overload prevention systems (AML) rely on expensive boom stroke sensors and load cells.
  • These components increase the overall cost and complexity of crane safety systems.
  • There is a need for a more economical and efficient method for real-time crane overload detection.

Purpose of the Study:

  • To develop and validate a computational method, the economical auto moment limiter (eAML), for preventing mobile cargo crane overload.
  • To demonstrate the cost-effectiveness of eAML by eliminating the need for expensive sensors.
  • To ensure real-time overload detection and control capabilities.

Main Methods:

  • Developed a mathematical model using a pressure sensor and boom angle sensor to calculate lifting load and maximum lifting capacity.
  • Implemented control logic based on the mathematical model to determine the maximum safe boom angle.
  • Validated the eAML system through rigorous MATLAB simulations and controlled experiments on a 7.6-ton crane and a maritime heavy-duty crane.

Main Results:

  • The eAML system effectively detects and controls crane overload in real-time without expensive sensors.
  • Simulation and experimental results confirm the accuracy and reliability of the eAML method.
  • The system's performance was verified under varying load conditions and wind speeds.

Conclusions:

  • The economical auto moment limiter (eAML) provides a competitive and effective solution for mobile cargo crane overload prevention.
  • eAML offers a cost-efficient alternative to traditional AML systems, enhancing safety and accessibility.
  • The validated computational method demonstrates significant potential for improving crane operational safety and reducing costs.