Multi-parameter infrared sensing method for operation state of power equipment

• Published in: Journal of physics. Conference series 2023-03, Vol.2451 (1), p.12005
• Main Authors: Song, Qingwu, Fengjiang, Li, Chunpeng, Wang, Yifan, Bao, Zhengjun, Shao, Shanrui
• Format: Article
• Language: English
• Subjects: Advantages; Algorithms; Internet of Things; Parameters; Perception; Physics; Sensors
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2451/1/012005

Aiming at the problems of difficult extraction and reconstruction of multi-parameter signals and poor perception effect of power equipment operation status, a multi-parameter infrared perception method of power equipment operation status is proposed. The multi-parameter (sound, light, electricity, vibration, heat, and environment) sensors of power equipment operation status are selected, the multi-parameter sensor integration framework is built based on the Internet of things technology, the multi-parameter sensors are effectively integrated, the power equipment operation status parameter signals are collected and reconstructed, the power equipment operation status perception model is built, the unsupervised classification and AR algorithm are introduced, and the reconstructed signals are fitted, to realize the infrared perception of power equipment operation status. The experimental data show that the integrity of power equipment operation state parameters and the accuracy of power equipment operation state perception obtained by the proposed method are higher, which proves that the proposed method has a good effect on power equipment operation state perception.