Abstract

As of today, "carbon emission exceeds the standard" has seriously affected people's life, and it has become the responsibility and obligation of every citizen to monitor and reduce the carbon emission beam. At present, China is the world's largest construction market, and most of the new buildings are still high-energy buildings, and the proportion of building energy consumption is increasing. Nowadays, China's economy and society are developing in the direction of low-carbon economy and green environment protection. Therefore, this paper develops an "integrated system of predictive control based on smart building", which first classifies the people in the building by statistical methods, and then constructs the demand curves of different people for each control parameter in the building through the people behavior model. Based on the demand curve, the optimal control scheme for energy saving in the building is made on the premise of meeting the demand of most people for environmental comfort, and then the optimized control parameters are applied to the actual regulation through a series of sensors and control elements to realize fully automatic control of the building facilities.

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