Heat Exchanging Station Automatic Control And Monitoring System Research

Centralized heating gradually takes the place of traditional decentralized heating due to its advantages of intensive,efficient and low-loss,and has been widely recognized in urban construction in China.However,the present centralized heating still adopts the manual inspection management approach.This management method not only results in the waste of human resources,but also the control strategy can not be properly adjusted according to the operation status of the entire heat network,So can easily result in heat supply network unbalanced,unstable system operation phenomenon.Heat exchange station in the central heating system has a bearing on the role,and the advantages and disadvantages of its control strategy directly affect the experience of thermal users and the stable operation of central heating system.Therefore,the control strategy of heat t ransfer station and central heating monitoring system has some research value and practical value.Based on the background of the national energy conservation and environmental protection policy,this paper introduces the development of central heating mode,the development of heat transfer station control system,the composition and working principle of heat transfer station and the basic theory of heat transfer regulation of heat transfer station.Necessary of research on thermal station control system and central heating monitoring system are introduced.The heat exchange station system is a complex nonlinear system.When the artificial neural network algorithm is used to build the mathematical model of the heat exchange station system,there are too many nodes and poor convergence.Therefore,a genetic algorithm based on genetic neural network algorithm is used to optimize the structure of neural network.The mathematic model of heat exchanging station is established by using this algorithm.Finally,the dynamic decoupling controller and steady decoupling controller of heat transfer station system are respectively designed by genetic algorithm.The simulation results show that the designed decoupling controller can realize the independent control of the se condary side temperature and the secondary side flow.Based on the idea of "remote control + local control",the whole network optimization control system of central heating is designed to control the control mode of remote heat exchanging station in software.The system of central heating monitoring is designed,and the overall framework design,Communication network configuration,remote heat transfer station terminal composition and the realization of the functions described in detail,the results show that the design of central heating monitoring system has a strong data and image processing capabilities and remote monitoring and alarm capabilities,which can achieve full heat net heat exchanger station centralized control and remote heat exchange station unattended.