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针对当前的智能电气节能控制中,经常出现设备电压的非正常动态波动,影响了信号调节的准确度,造成能耗过高,提出了一种基于多层低误差神经网络的电压调节方法,并应用到智能电气的节能设计中。首先通过设计控制电压误差的模型,消除电压控制中的过控制和模糊控制等弊端。通过设定误差产生,保证控制准确度,设计多层神经网络模型,对电压进行智能控制,进而实现对电压强度的准确控制,达到节能的目的。实验结果说明,这种方法可以对智能建筑中的控制准确度进行有效的改进,并且在节能方面也起到了很好的效果。
In view of the current intelligent electrical energy-saving control, the abnormal dynamic fluctuation of equipment voltage often occurs, which affects the accuracy of signal regulation and results in high energy consumption. A voltage regulation method based on multilayer low-error neural network is proposed. Applied to smart electrical energy-saving design. First of all, by designing a model to control the voltage error, the over-control and fuzzy control in voltage control are eliminated. By setting the error and guaranteeing the control accuracy, the multi-layer neural network model is designed and the voltage is controlled intelligently, so as to achieve the accurate control of the voltage intensity and save energy. Experimental results show that this method can effectively improve the control accuracy in intelligent buildings and also play a very good effect in energy saving.