The Design And Realization Of Temperature Data Collection For Heating Station Of Separate Areas Based On GSM Network

Based on SMS service on GSM network, the 2^nd generation network of mobile communications, the system of temperature data collection used in heating stations of separate areas is designed and set up. This system realizes data collection and process for heat energy flow and precise control on heating stations. And this solution provides a new method, based on information technology, to energy-saving innovation for existing buildings that are high energy consuming. In this system, GSM communication modules, Siemens MC35i, and single-chips, WINBOND W78E516B (belongs to the series of MCS-51), are used to compose a collection module. By AT commands, the detecting center of separate heating station detects temperature changes in and out of users' houses and receives datas collected by collection modules. In the end, the forecast algorithm of key parameters for controlling heating machines is studied. The improved algorithm makes the forecast of key parameters more precise.The thesis is composed of 6 chapters. Chapter 1 describes the architecture of GSM network, and focuses on the SMS service. Meanwhile, the characters, structure and hot trend of SMS service are introduced.Base on the analysis of SMS service in chapter 1, network structure of this system is designed in chapter 2. According to the structure, the whole monitor system is divided into 2 parts. One is detecting center, and the other is collection module. Chapter 3 points out how to set up the detecting center, including hardware architecture and design of software. This chapter also displays circuit diagrams of hardware interfaces and flow charts of software. In the hardware design, extending serial port is realized using parallel port to control selection logic. And driver programmingis used to access the parallel port.Chapter 4 introduces how to design the circuit of hardware structure and embedded software running on it for the collection module and also displays circuit diagrams of hardware, flow charts of software and key codes. During this design, firstly, finite state machine is introduced. Then this method is applied to software design. It makes software stronger, and design logic clearer, and is of great benefit to the expansion and cut for software system.In chapter 5, the forecast algorithm of key parameters for controlling heating machines is studied. It improves on neural network-driven fuzzy reasoning (NNFR) model to combine with Kohonen networks. It works well verified by experimentations.Chapter 6 is a concluding one. It indicates this system has the great value in popularized applications. And this chapter also says what should be done next step for system update.