A High-Performance Rotational Energy Harvester Integrated with Artificial Intelligence-Powered Triboelectric Sensors for Wireless Environmental Monitoring System

This paper proposes a high-performance rotational energy harvester using a circular Halbach array magnet to prevent flux leakage and concentrate magnetic flux. This design leads to a fourfold increase in magnetic flux density over conventional magnets. The harvested power is used to drive a complete IoT system for self-powered wireless environmental monitoring, which includes an AI-powered system for wind speed prediction.

• A high-performance rotational energy harvester with a circular Halbach array magnet.
• Three times increase in power density compared to conventional designs.
• Development of a self-powered wireless environmental monitoring IoT system.
• An AI-powered system using triboelectric sensor data for wind speed prediction with 99% accuracy.

A rotational energy harvester was designed with a circular Halbach array. Its power output was used to charge a 30 mAh battery for an IoT system. An intelligent system was designed using AI, which took input from a Mxene/P(VDF-TRFE)-based triboelectric sensor and other weather parameters to predict wind speed.

The proposed harvester delivers an exceptional 603.2 W m⁻³ power density. The harvested power successfully drove a complete IoT system. The AI-powered system achieved 99% accuracy in wind speed prediction, demonstrating a promising approach for intelligent environmental monitoring.