Natural lighting combined with artificial lighting, has been neglected in the domestic field for a long time. Traditional lighting control method is still being used in many buildings, wasting a certain degree of energy. In recent years, with the development of our country’s economy, energy shortage has been more and more serious, and the electricity supply shortage has been more nervous. Power failures occurred frequently in certain area. In the total domestic power consumption, lighting electricity accounted for by20%, so with the help of intelligent lighting control algorithm, taking the natural light into account, it can help to reduce electricity consumption and to save energy. Also in this way, we can create a good indoor working environment for the staff by reducing visual fatigue and improving workers’ efficiency.The characteristics and illumination models of natural light are analyzed. According to the uncertainty of natural lighting, intelligent lighting control algorithms are proposed. The artificial lighting is used to compensate the inhomogeneity of natural lighting, then the desktop’s illumination can achieve unified lighting level to make a good illuminating environment.The DIALux illumination design software is used to create the model of lighting space environment. It can determine the distribution of lighting in space. By using some calculating software, the coefficients of related model can be determined. The room illumination distribution model is designed based on artificial neuron networks. The desktop’s unified lighting optimization model is solved by using the genetic algorithm. Then the indoor intelligent lighting control system is created.The hardware and software of the intelligent lighting control system is also described. The whole system is divided into three parts of remote monitoring terminal, data center terminal and terminal node to design. A host computer system monitoring software is developed with Visual C++. This paper selected the SimpliciTI protocol as the wireless communication protocol between the data center and the terminal node, then the device is selected and several functional modules are designed on this basis.At the end of the paper, the analysis of energy consumption after using the intelligent lighting control system is given. The paper collected the natural illumination of laboratory under cloudy and sunny weather conditions, and calculates the control variables based on these data. Then the paper gets the amount of control and the total power consumption of artificial lighting. The results can be obtained from the data the consumption is reduced by50%under two different weather conditions. The conclusion shows that the control system can not only reduce energy consumption of room lighting greatly, but also improve the quality of indoor light environment. |