Distributed indoor temperature control and optimization of centralized heating system

Considering the influence of indoor temperature between adjacent rooms, establishes a mathematical model of indoor temperature control based on the state space method and carries out the verification. Based on the idea of distributed group control, controls and optimizes the indoor temperature of the whole building by the model predictive control method. The experimental results show that under the same indoor and outdoor environment, the established indoor temperature control mathematical model can well reflect the actual indoor temperature and valve opening. The predicted control based on distributed indoor temperature model can effectively adjust the indoor temperature and stably track the indoor set temperature of the whole building, which reduces the heat supply by 14.28% compared with the traditional thermostat control method.