黑龙江科技大学学报2018，Vol.28Issue(1)：97-101,128,6.DOI:10.3969/j.issn.2095-7262.2018.01.019
基于遗传算法的煤矿粉尘浓度测量装置优化
Optimization research on coal dust concentration measurement device based on genetic algorithm
摘要
Abstract
This paper presents an attempt to address an inaccuracy inherent in the measurement of low concentration dust using the principle of electrostatic induction.The research building on Venturi effect involves improving the existing pipeline in such a way that there is the formation of contraction sec-tion, throat section, and diffusion section to improve the speed of dust, with a consequent increase in the amount of induced charge ring electrostatic sensor; and, identifying the maximum value of electrostatic induction charge formula using genetic algorithm to develop an improved model, and thereby obtaining the optimal diameter of throat section.The results show that when the improved pipeline with the diameter ra-tio of 0.732 would have the largest induction charge of the electrostatic sensor;and the closer the charged particles are to the tube walls, the greater the amount of induced charge is.The improved device may im-prove the detection limit of dust concentration.关键词
煤矿/粉尘浓度/静电感应/粉尘传感器/遗传算法Key words
coal mine/dust concentration/electrostatic induction/dust sensor/genetic algorithm分类
矿业与冶金引用本文复制引用
刘丹丹,刘衡,李德文,景然..基于遗传算法的煤矿粉尘浓度测量装置优化[J].黑龙江科技大学学报,2018,28(1):97-101,128,6.基金项目
国家自然科学基金项目(51374099) （51374099）
国家重点研发计划公共安全风险防控与应急技术装备重点专项项目(2017YFC0805200) （2017YFC0805200）
国家重点研发计划重大科学仪器设备开发重点专项项目(2016YFF0102800) （2016YFF0102800）
