移动机器人轨迹规划与导航的实时火灾与烟雾探测

IF 1.5 0 ENGINEERING, MULTIDISCIPLINARY
Pham Van Bach Ngoc, Le Huy Hoang, Le Minh Hieu, Ngoc Hai Nguyen, Nguyen Luong Thien, Van Tuan Doan
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引用次数: 0

摘要

移动机器人有许多工业应用,包括保安、食品服务和消防安全。在每个工业安全系统中,快速检测烟雾和火灾以进行早期预警和监测至关重要。本文提出了一种利用装有摄像机的移动机器人进行早期烟雾和火灾探测的方法。该方法采用人工智能进行轨迹规划和导航,重点研究了移动机器人导航的检测和定位技术。介绍了一种带有Omni轮毂的移动机器人模型和一种改进的用于火灾和烟雾探测的YOLOv5算法,并将其集成到控制系统中。本研究通过为每个对象分配唯一标识来解决同一类中不同对象的问题。该实现不仅可以检测火灾和烟雾,还可以识别三维空间中物体的位置,使机器人能够逐步绘制其环境地图以进行移动导航。实验结果表明,该方法对烟雾和火灾的识别具有较高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Fire and Smoke Detection for Trajectory Planning and Navigation of a Mobile Robot
Mobile robots have many industrial applications, including security, food service, and fire safety. Detecting smoke and fire quickly for early warning and monitoring is crucial in every industrial safety system. In this paper, a method for early smoke and fire detection using mobile robots equipped with cameras is presented. The method employs artificial intelligence for trajectory planning and navigation, and focus is given to detection and localization techniques for mobile robot navigation. A model of a mobile robot with Omni wheels and a modified YOLOv5 algorithm for fire and smoke detection is also introduced, which is integrated into the control system. This research addresses the issue of distinct objects of the same class by assigning each object a unique identification. The implementation not only detects fire and smoke but also identifies the position of objects in three-dimensional space, allowing the robot to map its environment incrementally for mobile navigation. The experimental results demonstrate the high accuracy achieved by the proposed method in identifying smoke and fire.
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来源期刊
Engineering, Technology & Applied Science Research
Engineering, Technology & Applied Science Research ENGINEERING, MULTIDISCIPLINARY-
CiteScore
3.00
自引率
46.70%
发文量
222
审稿时长
11 weeks
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