Industrial Restructuring And Layout Optimization Of Quipment Manufacturing Industrial In Hebei

In the North of China, most of the heating center systems can directly send hot water toclients. This heating method easily has resulted in inequality heating. In order to improvethe quality of central heating system, it is needed to be controlled. In heating networkclient add controller to regulate the flow of hot water. By regulating the flow of water inthe radiator, and ultimately achieve the adjustment of room temperature.Firstly, in this paper, this system recommends the working principle and mechanismanalysis of the central heating system. Heating system is proving a complex dynamicsystem with large time-delay, high inertia, and several uncertainties. Through the heatingsystem model of these characteristics, the generalized predictive control algorithm wasgiven in the controller. To conduct an experiment, the generalized predictive controlalgorithm and Smith predictive control algorithm is used in the same heating system. Theresult proofed that the generalized predictive control algorithm has better control effect inthe heating system. Because the generalized predictive control algorithm is a controlalgorithm based on parameter adjustment. Heating system is a complex system with lotsof disturbance. On the opposite, the fuzzy control algorithm is not sensitive for thevariation of the parameters. So combination of predictive control and fuzzy controlalgorithm is formed generalized predictive fuzzy control method. Then, the predictivefuzzy control method is adjusted to the heating system. Finally, this controller is simulatedby experiment. The simulation is shown that using predictive fuzzy control has moreadvantages than predictive control in regulating.In order to prove the rationality of the controller design, in a typical heating systemuser, a monitoring simulation is established from data acquisition to achieve controlvariable by using LabVIEW software.