摘要
在构建数据预处理动态模型基础上,利用小波神经网络布控智能节点,计算回归差值自动化控制电气工程,完成人工智能在电力工程自动化中的应用设计。本方法以电气设备运行标准为测试条件,利用人工智能对电力运行中的电流状态进行监控,能够保证电气设备操作保持在标准电流范围之内,减少电力事故的发生,以此提高工程业务的流转效率,具有实际应用效果。
On the basis of constructing the dynamic model of data preprocessing,the wavelet neural network is used to control the intelligent nodes,calculate the regression difference,automatically control the electrical engineering,and complete the application method design of artificial intelligence in power engineering automation.Taking the operation standard of electrical equipment as the test condition and using artificial intelligence to monitor the current state in power operation,this method can ensure that the operation of electrical equipment is kept within the standard current range and reduce the occurrence of power accidents,so as to improve the flow efficiency of engineering business,which has practical application effect.
作者
吴峰
刘婧
沈帆
何昌林
WU Feng;LIU Jing;SHEN Fan;HE Changlin(NARI Group Co.,Ltd.,Nanjing 210000,China;Wuhan Nari Power Engineering Technology Equipment Co.,Ltd.,Wuhan 430070,China;Wuhan Nari Co.,Ltd.,Wuhan 430070,China)
出处
《电工材料》
CAS
2022年第6期46-48,共3页
Electrical Engineering Materials
关键词
人工智能
电力工程自动化
智能节点
电气设备
artificial intelligence
power engineering automation
intelligent node
electrical equipment
