Investigation of wearable multi-sensor fusion monitoring system

To address the issue of falling risk during prolonged tower climbing for grid inspection, this paper presents the design of a wearable multi-sensor fusion monitoring system. The calibration experiment determines the fitting function between the digital quantity collected by the thin film pressure sensor and the applied pressure. A method for determining optimal hand sensor placement points is proposed based on a combination of average value and voting methods. Wearable data gloves and insoles are fabricated using sewing technology, and combined with a linear amplifier module, single chip microcomputer, and control terminal to form the wearable multi-sensor fusion monitoring system. To validate the reliability of the system, several climbing experiments were conducted. The experimental results demonstrate that the system can real-time monitor climbers' movement state and fatigue level, which is crucial for ensuring worker safety at high altitudes.