Research On Operation Laws Of Heat-exchange Station Based On Data Mining

Smart heating network is an important part of smart city construction. The wisdom monitoring platform should be built, whose ultimate goal is to achieve optimal operation management. In order to achieve this goal, some problems must be solved such as how to deal with the large amounts of data, what is the theoretical basis and what kind of method can be used to realize the theoretical law of heating of fine management. Some regular patterns are evaluated and predicted in this research by using the data mining technology and analysis method, such as the second level supply water temperature, the heat consumption of heat-exchange station, and the plate heat exchanger heat transfer characteristics.Based on the theory of the adjustment of heating system, some typical heat-exchange station operation adjusting parameters are analyzed. The analysis result shows the adjustment process has some characteristics interrelated with times, but not interrelated with outside disturbance obviously. The research method is put forward, which is how to study the regular pattern about the second level supply water temperature relate with the time, indoor and outdoor temperature. The analysis of the actual operation of monitoring data shows the heat transfer coefficient of plate heat exchangers in practical engineering is far below the theoretical value. The reason is the actual operating conditions deviate far from the design conditions, which makes the heat transfer coefficients decrease.Heating effect is reflected by the level of indoor temperature. Taking the indoor temperature as a feedback parameter, the data mining theory and method of the second level supply water temperature based on indoor temperature are put forward. And one can use them to explore the second level supply water temperature suit for the parameters combined with outdoor and indoor temperature from a large amount of historical data. Meanwhile, the predictive analysis for the heat consumption of heat-exchange station and heat supply quantity of source have been done. By predicting the regular patterns of the temperature difference between indoor and outdoor, outdoor temperature and the second level supply water temperature, the heat consumption in the average temperature difference between second level supply and return water, and the outdoor temperature, the research shows that to predict the heat exchanger consumption by the second level supply and return water has a high accurate result.According to the study on the predicting about the heat transfer equipment performance of heat transfer stations, the laws of operational regulation and the heat consumption, the heat-exchange station equipment performance diagnosis and operation control integration technology based on smart heating network are obtained and already implemented in the actual project.