摘要
智能建筑楼宇电气系统中包含多个子系统和设备,如配电系统、照明系统、空调系统、安防系统等,这些系统之间存在复杂的交互和耦合关系,增加了控制难度。为此,提出基于物联网技术的智能建筑楼宇电气控制方法。通过物联网技术采集建筑电气能耗数据,结合采集结果,将神经网络与模糊控制相结合,并采用双输入结构。其中,输入量分别代表设定值与实际输出值的差值,以及设定值与预测器输出值的差值。将实际输出与预测器输出之间的差值作为反馈信号,用于在线调整控制参数。通过神经网络实现模糊规则的映射,将模糊语言值转换为具体的控制参数,实现智能建筑楼宇电气控制。在测试结果中,设计方法下的建筑能耗最低,且控制效果相对平稳。
The electrical system of intelligent buildings includes multiple subsystems and equipment,such as power distribution systems,lighting systems,air conditioning systems,security systems,etc.There are complex interactions and coupling relationships between these systems,which increases the difficulty of control.Therefore,a smart building electrical control method based on Internet of Things technology is proposed.Collecting building electrical energy consumption data through IoT technology,combining neural networks with fuzzy control based on the collected results,and adopting a dual input structure.Among them,the input quantities represent the difference between the set value and the actual output value,as well as the difference between the set value and the predictor output value.Use the difference between the actual output and the predictor output as a feedback signal for,online adjustment of control parameters.By using neural networks to map fuzzy rules and convert fuzzy language values into specific control parameters,intelligent building electrical control can be achieved.In the test results,the building energy consumption under the design method is the lowest,and the control effect is relatively stable.
作者
高歌
GAO Ge(Beijing Canada Integrated Intelligent System Engineering Co.,Ltd.,Beijing 100176,China)
出处
《自动化应用》
2025年第10期208-211,共4页
Automation Application
关键词
物联网技术
智能建筑楼宇
电气控制
神经网络
模糊控制
Internet of Things technology
intelligent building
electrical control
neural network
fuzzy control
