研究与开发
基于BP神经网络模型的智慧杆电源热稳定性评估方法
黄李奔
江苏未来城市公共空间开发运营有限公司,南京 210000
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
摘要 鉴于热参数是影响智慧杆电源稳定性的重要因素,提出基于BP神经网络模型的热稳定评估方法。构建测温实验平台,开展不同环境温度、不同负载条件下的电源温升特性实验,通过不同工况的热评估验证了所提方法的有效性。结合未来应用场景及其气象环境,对智慧杆电源在使用前进行热安全性评估分析,为产品的实际使用和后续性能提升提供支撑。
关键词 ：
智慧多功能杆 ,
电源热稳定性 ,
温升特性 ,
神经网络模型
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
收稿日期: 2023-05-04
作者简介 : 黄李奔（1985—）,男,江苏省南京市人,硕士,从事照明控制系统、多功能智慧杆的建设运营及人工智能应用方面的研究工作。
引用本文:
黄李奔. 基于BP神经网络模型的智慧杆电源热稳定性评估方法[J]. 电气技术, 2023, 24(6): 47-56.
HUANG Liben. Thermal stability evaluation method of intelligent pole power supply based on neural network model. Electrical Engineering, 2023, 24(6): 47-56.
链接本文:
http://dqjs.cesmedia.cn/CN/Y2023/V24/I6/47
[1] 全国信标委智慧城市标准工作组. 智慧多功能杆发展白皮书(2022版)[Z]. 北京, 2022.
2023, Vol. 24 
