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作 者:蔡金涛 CAI Jintao(Deqing County Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Deqing 313200,China)
机构地区:[1]国网浙江省电力有限公司德清县供电公司,浙江德清313200
出 处:《电工技术》2023年第15期97-101,共5页Electric Engineering
摘 要:针对配电网杆塔中出现的实时监测方地基的沉降现象,提出了新型的分析方法,设计了一种系统化的结构性沉降问题分析系统。该系统包括地址数据信息采集单元、分析模型单元、应用模块等,满足多种数据分析的需要。在常规PDA算法模型的基础上,提出了算法改进。在常规PDA算法模型中加入小波算法模型,提高了信息获取的精确度,通过融入孤立森林,能将影响配电网杆实时监测的多种信息融合在一起,提高数据的融合能力。在常规算法中,还增加了神经网络算法模型,实现了配电网杆实时监测数据信息的故障诊断能力。通过试验证明该方法精度较高。Aiming at the real-time monitoring of the settlement phenomenon of the foundation in the distribution network tower,a novel analysis method is proposed,and a systematic structural settlement problem analysis system is designed.The system includes address data information collection unit,analysis model unit,application module,etc.,which can meet the needs of a variety of data analysis.On the basis of the conventional PDA algorithm model,algorithm improvement is proposed.The wavelet algorithm model is added to the conventional PDA algorithm model to improve the accuracy of information acquisition.By integrating into isolated forests,multiple information affecting real-time monitoring of distribution network poles can be fused together to improve data fusion capabilities.In the conventional algorithm,the neural network algorithm model is also added to realize the fault diagnosis ability of real-time monitoring data information of distribution network poles.Experiments have proved that the method has high accuracy.
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