基于遗传算法的冶炼厂烟尘排放污染源识别研究

Research on identification of smoke and dust emission sources in smelter based on genetic algorithm

为了治理冶炼厂烟尘排放污染情况,提出基于遗传算法的冶炼厂烟尘排放污染源识别方法研究。分析冶炼厂烟尘排放污染物分布趋势,以此为基础,建立烟尘排放污染物分布方程,并设置方程求解方法,采用遗传算法作为优化搜索工具,应用上述建立的烟尘排放污染源分布方程构建适应度函数,搭建烟尘排放污染源识别模型,以此为工具,实现冶炼厂烟尘排放污染源的识别。仿真实验结果显示:提出方法的烟尘排放污染源识别误差范围为-10.00%~10.00%,收敛代数平均值为24.6,低于标准数值,充分说明提出方法具备较好的识别性能。

In order to control the smoke and dust emission pollution of smelter,the identification method of fume emission pollution source based on genetic algorithm is proposed.Based on the analysis of the distribution trend of smoke and dust emission pollutants in smelter,the distribution equation of smoke and dust emission pollutants is established,and the solution method of the equation is set up.The genetic algorithm is used as the optimization search tool,and the fitness function is constructed by using the above-mentioned smoke emission pollution source distribution equation,and the smoke emission pollution source identification model is built,which is used as a tool to realize the smoke and dust emission of smelter Identification of radioactive pollution sources.The simulation results show that the error range of the proposed method is-10.00%~10.00%,and the average convergence algebraic value is 24.6,which is lower than the standard value,which fully shows that the proposed method has good recognition performance.