标题:
燃煤电厂排烟粉尘浓度在线监测方法On-Line Monitoring Method of Exhaust Dust Concentration in Coal-Fired Power Plants
作者:
蒋宝平, 付忠广, 齐敏芳, 李璐, 刘亚辉
关键字:
粉尘浓度, 在线监测, 支持向量机, 软测量Dust Concentration, Online Monitoring, Support Vector Machine, Soft-Sensing
期刊名称:
《Advances in Energy and Power Engineering》, Vol.2 No.6, 2014-12-02
摘要:
燃煤电厂烟气污染物排放到大气中，这不仅关系到环境问题，而且直接危害人们身体的健康。因此粉尘浓度的测量越来越重要。本文采用支持向量机软测量技术，利用支持向量机的非线性映射和强大的泛化能力，建立排烟粉尘浓度的软测量模型，实现粉尘浓度的最佳估计。仿真结果表明该方法可以对粉尘浓度进行有效估计，可以作为粉尘浓度的在线监测方法。Coal-fired power plant flue gases are discharged into the atmosphere without treatment, which not only aggravates environmental issues, but also directly endangers people’s physical health. So the measurement of dust concentration becomes more and more important. In this paper, strong nonlinearity mapping and generalization ability of support vector machine soft-sensing technique is used to establish soft-sensing model and to reach best estimate of dust concentration. Simulation results show that this method can estimate the dust concentration effectively and it can be applied to online monitoring of dust concentration.