用于原油管道溢油早期检测的地面机器人溢油监测(Gross)系统

Ejofodomi Oa
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引用次数: 2

摘要

原油泄漏对环境、健康、社会和经济都有负面影响。及时发现石油泄漏,可以迅速进行补救,改善国民经济,减少对环境的破坏。地面机器人溢油监测系统(GROSS)是一种使用小型移动机器人进行溢油早期检测的新型系统。一个GROSS单元是一个机械化机器人,用于在指定的管道旁巡逻。全球定位系统(GPS)用于自主导航,超声波传感器用于避开障碍物,气体传感器用于泄漏检测。一旦检测到漏油,一个集成的相机模块就会被用来拍摄漏油地点的照片。使用Xbee无线电,泄漏图像和GPS定位被无线传输到基站的计算机上,使监视小组能够启动建立的控制协议。GROSS系统已经成功地在联邦石油资源大学的地下原油管道上进行了测试。该系统能够沿着原油管道提供持续监测,并无线传输泄漏GPS位置和图像,使其能够快速检测石油泄漏,并确保监测小组迅速做出反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ground Robotic Oil Spill Surveillance (Gross) System for Early Detectionof Oil Spills from Crude Oil Pipelines
Crude oil spills have negative impacts on the environment, health, society and economy. Prompt detection of oil spills would lead to swift remediation, improvement in national economy, and a reduction in the damage to the environment. The Ground Robotic Oil Spill Surveillance (GROSS) System is a novel system for early detection of oil spills using small mobile robots. A single GROSS unit is a mechanized robot employed to patrol beside designated pipelines. A Global Positioning System (GPS) is used for autonomous navigation, an ultrasonic sensor for avoiding obstacles, and gas sensors for spill detection. Once a spill is detected, an integrated camera module is used to take pictures of the oil spill site. Using Xbee radios, spill images and GPS location are transferred wirelessly to a computer in the base station to enable surveillance teams initiate established containment protocols. The GROSS system has been successfully tested on an underground crude oil pipeline at the Federal University of Petroleum Resources. The system’s ability to provide continuous surveillance along crude oil pipelines and wireless transmission of spill GPS location and images gives it the ability to detect oil spills quickly and ensure prompt response by surveillance teams.
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