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基于残基在线检测的燃烧优化控制
引用本文:刘振兴,何 峰.基于残基在线检测的燃烧优化控制[J].中南民族大学学报(自然科学版),2018(3):16-19,53.
作者姓名:刘振兴  何 峰
作者单位:武汉科技大学信息科学与工程学院;湖南华菱湘潭钢铁有限公司能源环保部
基金项目:国家“863”基金资助项目计划 (2014AA041803)
摘    要:针对加热炉大惯性、强滞后性等特点,通过分析其燃烧控制系统现状,提出了采用高温直插式氧化锆进行残氧量在线检测,并采用带交叉限制和残氧修正功能的燃烧优化控制技术,实现了空燃比和炉温的在线闭环优化控制,降低了燃料消耗和氧化烧损生成.运行结果表明:该技术应用于湘钢1#加热炉,优化控制了燃烧过程,吨钢煤气消耗降低2.84%,残氧控制降低1.94%,氧化烧损减少0.121%.

关 键 词:加热炉  燃烧优化控制  直插式  氧化锆  氧化烧损

Combustion Optimization Control Based on On-Line Detection of Residual Oxygen
Abstract:Aiming at the characteristics of large inertia and strong hysteresis of heating furnace, by analyzing the current situation of its combustion control system, it is proposed to use high temperature direct plug-in zirconia analyzer for on-line detection of residual oxygen. By using combustion optimization control technology with cross-restriction and residual oxygen correction function, online closed-loop optimal control of air-fuel ratio and furnace temperature was achieved, reducing fuel consumption and oxidative loss. The operation results showed that the technology was applied to Xiang Steel 1# heating furnace to control the combustion process optimally, while the gas consumption per ton of steel was reduced by 2.84%, the residual oxygen was reduced by 1.94%, and the oxidation loss was reduced by 0.121%.
Keywords:heating furnace  combustion optimization control  in-line  zirconia  oxidation loss
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