| The energy consumption of buildings accounts for 30% of the total energy consumption of the country's total energy,and the total energy consumption of heating and cooling accounts for 85% of the total building energy consumption,radiant floor heating energy consumption in heating energy consumption is 30%,which is lower than traditional radiator heating.Although the floor radiant heating system is more energy-efficient than the traditional radiator heating,most of the adjustment methods are qualitative or empirical lag adjustments,with the help of effective ways,the indoor temperature can be controlled more precisely,and the drawbacks of the floor radiant heating system can be solved to save energy and improve people?s lives.This paper analyzes the operation mode of the original floor radiant heating control system and the changing law of indoor temperature,establishes a mathematical model of the dynamic change of indoor temperature,sets up a fuzzy PID(Proportion Intergration Differentiation,PID)control strategy based on the improved genetic algorithm,selects the hardware required for the control system and realizes the communication between the upper computer and the PLC(Programmable Logic Controller,PLC),and simultaneously opens the system.The operation optimization software and operation platform of the control system are issued.Finally,the energy efficiency comparison between the control system and the original system is carried out.The main contents are as follows:First of all,this paper analyzed the material combined with heat transfer of the floor and maintenance structure of the office building,it was analyzed the heat transfer mechanism of the floor and the enclosure structure and was studied the heat process of the office building room,it was formulated the temperature measurement scheme,and drew the temperature change curve from the measured indoor temperature to combine the floor and the enclosure structure,the mathematical model of indoor temperature change was obtained by heat transfer mechanism,which laid a theoretical foundation for the formulation of control strategy.Secondly,this paper analyzed the control strategy of the controlled object and the original control system,pointed out the deficiency of the original control strategy,developed a new control strategy based on genetic algorithm and fuzzy PID,it was improved the traditional fuzzy PID and genetic algorithm.and an adaptive genetic fuzzy PID control strategy is proposed.The simulation results showed that the control strategy well solves the overshoot and hysteresis characteristics of the original control system,and the temperature floats near the set value.Thirdly,the hardware structure and hardware selection of the control system are designed.At the same time,the point position that the control system is monitored,the information of the control point,the control point and the type and function of the control point are determined,and the address of each control point is designed.Then,based on OPC(OLE for Process Control,OPC)technology,data communication between host computer written by LabVIEW and SIEMENS S7-200 PLC SMART of the original control system is realized.Finally,the LabVIEW and MATLAB software are used to program and simulate the genetic fuzzy PID control strategy.At the same time,the software platform of the control system is developed based on LabVIEW.On the platform,the functions of collecting and storing the temperature data,selecting the control algorithm,the simulation of the program and the actual monitoring and testing are realized on the platform,and the original control system and the control system are also carried out.The improved system is used to analyze the energy consumption. |
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