摘要
近年来,危化品造成的有毒有害气体泄漏事件层出不穷。针对危化品仓储环境下泄漏监测手段的不足,提出了一套基于高斯烟羽模型仿真的、进化梯度算法的仿生搜索策略的嗅觉信息的全向移动机器人平台,可以及时发现和定位气体泄漏源,最大限度地从源头上降低各种安全事故带来的损失。
In recent years,toxic and harmful gas leakage caused by dangerous chemicals has emerged in endlessly.Aiming at the shortage of leak monitoring methods in hazardous chemicals storage environment,an omnidirectional mobile robot platform based on the bionic search strategy of Gauss plume model simulation and evolutionary gradient algorithm is proposed,which can detect and locate the gas leakage source in time and minimize the loss caused by various safety accidents from the source.
作者
汪静
WANG Jing(Datong Teachers College,Datong Shanxi 037000,China)
出处
《山西化工》
2021年第2期69-72,共4页
Shanxi Chemical Industry
关键词
全向移动机器人
危化品
泄漏源判定
应用
omnidirectional mobile robot
dangerous chemicals
leak source determination
application