Research On The Optimization Of Combustion System Based On Expert Decision Model

Along with the rapid economic development, energy saving and effective using has become a top priority. As is known to all, the electric power enterprise is a large family of energy consumption, thus it has great significance to improve the unit of the economy and reduce the cost and adopt real-time monitoring unit and optimize the production process. The control strategy optimizing is the key details to adjust the boiler combustion progress, it also is the bridge and the link of contacting the deviation analysis and the performance calculation.At present, control science, information science, artificial intelligence, cognitive science and other emerging intelligent algorithms combine together. They provide valuable scientific theory and method for some major issues like complex, large-scale systems in economy. How to use the new intelligent algorithm to optimize the combustion system is the hot spot and direction of the research.With the common promotion of DCS system in the electric power industry,there are a a large stocks of the operation data in the DCS system. And there are lots of information hidden behind the data which are important to the production efficiency, safety, economic and environmental protection. The data mining technology plays an important role to these potentially valuable information, so many current researchs basedon data mining technology are applied to data analysis in power plant, so as to play a guidance role to the electric production.For the complex nonlinear characteristics of the boiler combustion system, this paper proposes a compound research method to optimize combustion system. The method is using support vector machine algorithm to establish the boiler combustion model, using genetic algorithm to optimize the parameters, and using data mining technology to build an expert decision model at last. By applying the theory to the simulation experiments, the result shows that these intelligent algorithms can increase the burning efficiency and realize the optimizing goal.