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摘要：发电厂的核心就是锅炉的燃烧系统，锅炉的燃烧过程又是一个非常复杂的变化过程，包含很多难以测量的因素控制影响。锅炉存在很多不稳定的因素，一旦受其他因素干扰，就会进入负荷状态。仅仅凭借技术人员很难使锅炉燃烧系统保持在一个稳定的最佳运行状态。70191
本文对电厂燃烧优化提出了一种优化系统设计思路和两种方案，通过对同一组数据的收集、算法设计、系统的整体实现及效果来对比优劣性和可行性，最后结果分析总结。
全文可以分为四个章节：第一章介绍电厂燃烧系统技术的发展情况，通过对电厂燃烧优化的综述，对比现在电厂在燃烧优化方面主要的几种优化技术，总结对本课题在理论上的可行性和需要处理的问题；第二章电厂燃烧各控制系统介绍；第三章是我设计的系统，主要是对优化电厂设备燃烧；第四章运用回归方程计算处理数据；第五章运用BP神经网络预测技术建立数学模型，处理表格；第六章，对比两种数据的结果，讨论最优化的方法，总结本课题并展望发展。
毕业论文关键词：电厂燃烧优化；系统设计；回归曲线；BP神经网络；MATLAB
Design of Combustion Optimization System for Power Plant
Abstract：Power plant is mainly based on boiler combustion system.Boiler combustion process is a very complex process of change including numbers of factors are difficult to measure the impact.The boiler system is very unstable.Any changes in system load and other disturbances may occur at any time.It is very difficult for technical staffs to kept the boiler burning system in a stable best running condition.
In this paper, an optimization system design idea and two schemes are proposed to optimize the combustion of the power plant. Through the collection of the same data, the design of the algorithm, the overall realization and effect of the system, the results are summarized and analyzed.
The text can be pided into four chapters: The first chapter introduces the development of the combustion system technology of the power plant. Through the summary of the combustion optimization of the power plant, comparing the current combustion optimization of several major optimization techniques in power plants, Summarize the feasibility of the combustion optimization of the power plant and the main problems to be solved; The second chapter is the power plant combustion optimization system ; third chapter, is my optimization system about boiler Combustion Optimization;Chapter four, using the regression equation to calculate the processing data;Chapter five, establishment of Mathematical Model by BP Neural Network Model Forecasting Technique and processing data;Chapter six, comparing the results of both data, discussing the optimization method, summarizing the subject and look forward to development.
Keywords:combustion optimization of power plant;system design; regression curve;BP neural networks ;Matlab
目录
1 绪 论 1
1.1 课题背景及研究目的和意义 1
1.1.1 课题背景 1
1.1.2 课题研究的目的和意义 2
1.2.1 国内发展现状与水平 2
1.2.2 国外发展现状与水平 4
1.3 本章小结 5
2 电厂燃烧各控制系统介绍 6
2.1 发电系统 6
2.2 蒸汽循环系统 6
2.3 水循环系统
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