| 电站锅炉燃烧诊断优化技术的现状及发展 |
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| 引用本文： | 杨宏旻,顾璠,徐益谦.电站锅炉燃烧诊断优化技术的现状及发展[J].锅炉技术,2007,38(2):1-4,19. |
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| 作者姓名： | 杨宏旻 顾璠 徐益谦 |
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| 作者单位： | 1. 南京师范大学,动力工程学院,江苏,南京,210042
2. 东南大学,能源与环境学院,江苏,南京,210096 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)
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国家人事部留学回国人员科技活动启动项目 |
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| 摘 要： | 燃烧诊断和控制技术直接关系到电站锅炉运行的经济性和安全性,而电站锅炉内的煤粉燃烧过程极其复杂,燃烧的诊断问题长期得不到很好解决.现代光测技术、计算机数字图像处理技术、人工智能等新技术和新理论的飞速发展,推动了真正意义上的燃烧诊断技术的实现.论述了火电站燃烧诊断系统的重要性和复杂性,讨论了现有大型火电机组燃烧监控及诊断技术的现状与不足,结合现代人工智能理论和控制理论的进展,展望了未来燃烧诊断优化技术的发展方向.
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| 关 键 词： | 电站锅炉 燃烧诊断 人工智能 优化 |
| 文章编号： | CN31-1508(2007)02-0001-04 |
| 修稿时间： | 2006年3月6日 |
Future and Actuality of the Combustion Diagnosis and Optimization for Power Plant Boiler |
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| YANG Hong-min,GU Fan,XU Yi-qian.Future and Actuality of the Combustion Diagnosis and Optimization for Power Plant Boiler[J].Boiler Technology,2007,38(2):1-4,19. |
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| Authors: | YANG Hong-min GU Fan XU Yi-qian |
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| Abstract: | The combustion diagnosis technology is associated with the economy and safty of utility boiler in power plant.The pulverized-coal combustion in furnace is extreamly complex and the reliablity of these systems was not fullfiled in a long-term.The development of present optical image processing technology and artificial intelligence technology prompt the realization of combustion diagnosis in real meaning.The significance and complexity of the combustion diagnosis and optimization technology in power plants are discussed here and the actuality of the combustion diagnosis and optimization system is demonstrated.Combined with the development of modern artificial intelligence theory and control theory,the future of the advanced combustion diagnosis and optimization technology is also prospected. |
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| Keywords: | power plant boiler artificial intelligence combustion diagnosis optimization |
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