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| Thermal stability evaluation method of intelligent pole power supply based on neural network model |
| HUANG Liben |
| Jiangsu Future Urban Public Space Development and Operation Co., Ltd, Nanjing 210000 |
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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.
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Received: 04 May 2023
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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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http://dqjs.cesmedia.cn/EN/Y2023/V24/I6/47
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2023, Vol. 24 
