In order to further improve the real­time detection of power generation, a wireless monitoring model of solar photovoltaic power generation based on Internet of things (IoT) technology is proposed. Firstly, the application of remote monitoring in power generation technology is introduced, and the monitoring model of solar power equipment is constructed by wireless network, and the corresponding feedback mechanism is established by means of the (IoT) algorithm. Finally, the data processing ability and analysis effect of the wireless monitoring model are tested and studied. The test results show that the monitoring model can record and optimize the solar power generation data in real time, which greatly reduces the failure rate in power generation. It is proved that the monitoring model used in this paper has good feedback effect. 1. Zabidi A., Yassin I M., Hassan H A. Detection of asphyxia in infants using deep learning convolutional neural network (CNN) trained on Mel frequency cepstrum coefficient (MFCC) features extracted from cry sounds. Journal of Fundamental and Applied Sciences, 2017, V9, #3S, pp.768–778.
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• Internet of things technology
• IoT
• solar photovoltaic power generation
• wireless monitoring