Intelligent Control Algorithm Optimization In The Heat Transfer Station And Remote Monitoring System Design

With the development of central heating and the continuous expansion of area coverage of heating network, the heat exchange station is playing a more and more important role as a hub of heating network. It is an important issue for heating industry how to manage heating network effectively and to improve the automation level of heat exchange stations to meet the purpose of safety, comfort, energy-saving and energy-efficiency.According to the heating modes and operating problems in our country, with heating stations of a university in Dalian as the research objects, the technological process and control principle of the heat exchange station is analyzed with focus on deficiency of current heating systems. There are two outstanding problems. First, many heat transfer station systems are in the stage of manually operating or rough automatic control so that the goals of safety and comfort cannot be achieved. Second, a reliable remote telemetry and remote control platform is not available.As for the problem of generally low automation level of heat exchange stations in our country, an algorithm of intelligent position which is inspired by the intelligent tri-state Bang-Bang algorithm was developed. Grey Relation analysis techniques is applied to analyze historical data of heat exchange stations. Utilizing data mining techniques combined with basic formulas of heating, the control algorithm is deduced. This algorithm takes the distributed variable frequency pump as the controlled object, and the average temperature of the second network is taken as the controlled parameter. The problem of intermittent heating at the beginning and at the end of heating are taken into account when the algorithm is developed. The security of the heating system is guaranteed during anti-freezing period and energy saving is achieved.By experimental verification, the algorithm makes the average temperature of supply and return water of second side follows the setting value rapidly and smoothly. Control precision achieved by using intelligent position control algorithm is significantly better than that of the tri-state Bang-Bang control algorithm.In order to deal with the increasing urban heating network scale, and to achieve energy-saving in heating, a remote control and measurement platform based on GPRS wireless communication technology is designed. Functions such as field data online monitoring, remote control, data storage, data analysis and fault diagnosis are available on the platform. The security and stability of the whole heating network during operating is effectively enhanced.