基于BP神经网络模型的智慧杆电源热稳定性评估方法

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Abstract Given that the thermal parameters are important factors affecting the stability of the intelligent pole power supply, a thermal assessment method based on BP neural network model is proposed. A temperature measurement experimental platform is constructed and experiments are carried out on the temperature rise characteristics of the power supply under different ambient temperatures and different load conditions, and the effectiveness of the proposed method is verified through the thermal assessment of different working conditions. Combined with the future application scenarios and their meteorological environments, the thermal safety assessment analysis of the intelligent pole power supply is conducted before it is put into operation, so as to provide support for the actual use and subsequent performance improvement of the product.

Key words： intelligent multifunctional pole thermal stability of power supply temperature rise characteristics neural network model

Received: 04 May 2023

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	HUANG Liben

Cite this article:

HUANG Liben. Thermal stability evaluation method of intelligent pole power supply based on neural network model[J]. Electrical Engineering, 2023, 24(6): 47-56.

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https://dqjs.cesmedia.cn/EN/Y2023/V24/I6/47

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