Study On The Monitoring And Energy-saving Optimizing Control Strategie For Centralized Heat-supply Network

In recent years, the centralized heat-supply developed rapidly. Heating system hadbeenexpanded.When it can meet the heating needs of users, how to control and manage the entireheating network effectively, so that resources will be utilized, it becomes the problem whichmust be solved of heating control system.In this paper, the general multifunction data acquisitionis designed, which suitable for the monitor and control system of centralized heat-supplynetwork. Meanwhile, according to the operation characteristics of heating network system, thedistributed predictive control algorithm is proposed to realize integral control of the abovesystem.Through the research of distributed predictive control theory based on local optimizationalgorithm understeady-state operating conditions, so that the overall heat-supply network canbecontrolled, rational allocation of resources to achieve balance heat of the whole network.This paper’s mainly research is the design and implementation of general multifunction dataacquisition based on GPRS. It introduces the research background, significance and currentcondition.It introduces the key technologies of heating network operating mode data acquisitionsystem-GPRS technology and a detailed description of the distributed predictive controlalgorithm. Bead on the operation characteristics of heating network system, the hardware andsoftware of general multifunction data acquisition are designed, and distributed predictivecontrol algorithm in heating network control system preliminary applied research.Data acquisition is one of the key sectors in modern measurement and control system. Thedata acquisition systems are usually designed for particular desire, their each channel onlycollect single kind of signals, thus their features are single and universality is not strong. In thispaper, based on this issue, for the purpose of parameter measurement of heating network, a dataacquisition matching parameter measurement of heat exchange station is designed, it provides12-channel general measurement input and4-channel relay output, and each analog inputchannel can achieve the signal collections of the working condition parameter, such as voltage,electric current, temperature, pressure and so on. When the collecting mission is changed, justneed to set the real-time results of data collection can corresponding collection command again.Then be displayed on the upper-computer in the form of graph and table. They can achievemulti-functional data acquisition on each analog input channel, and at the greatest extent to meetthe multi-channel, high precision data collection desire of many kinds of industrial use. It canachieve the collection of all types working condition parameters of heating network and remotecontrol of the equipment. Not only ment the function for measuring the parameters, but also caneasily achieve the wireless communication to heating network monitoring center, make the heating networking ment the unattended function.Meawhile, in order to achieve the overall control of the heating system, propose adistributed predictive control for heat network system control theory, which with the globaloptimal ability. It divides the system into many subsystems interacting with inputs and states,and each subsystem employs model predictive control, among which the neighborhoodoptimization strategy is used for coordination. This approach utilizes the input and stateinformation during optimization and sufficiently considers the neighborhood performance indexto impove the system global performance. So the sub-station’s traffic can be distributed rationally,so as to realize the temperature of the heat users control, to heat the user’s heating requirements,so that heat supply network to achieve uniform heating effect, improve the system resourceutilization.