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作 者:张灿 侯语然 居海清 ZHANG Can;HOU Yuran;JU Haiqing(Jiangsu Vocational College of Electronics and Information,Huaian,Jiangsu 223001,China)
出 处:《计算机应用文摘》2024年第21期108-109,113,共3页
摘 要:在“双碳”目标背景下,道路交通环保行业在节能减排方面面临新的挑战。文章从环保车的定位、障碍物检测以及导航规划3个方面展开深入研究,旨在实现环卫场景中的无人化作业与智能环卫管理。智能无人环卫车配备了高精度循迹避障系统和多重清洁装置,能够通过传感器感知环境信息,并基于模糊控制理论提出避障控制策略。文章致力于提升环卫车的智能化水平,减少能耗,以适应低碳环保的要求,为城市环境卫生事业提供创新且节能的解决方案,具有重要的实际应用价值和社会意义。Under the background of the“dual carbon”target,the road traffic environmental protection industry is facing new challenges in energy conservation and emission reduction.The article conducts in-depth research on the positioning,obstacle detection,and navigation planning of environmentally friendly vehicles,aiming to achieve unmanned operations and intelligent environmental sanitation management in environmental sanitation scenarios.The intelligent unmanned sanitation vehicle is equipped with a high-precision tracking and obstacle avoidance system and multiple cleaning devices,which can sense environmental information through sensors and propose obstacle avoidance control strategies based on fuzzy control theory.The article is dedicated to improving the intelligence level of sanitation vehicles,reducing energy consumption,adapting to the requirements of low-carbon environmental protection,and providing innovative and energy-saving solutions for urban environmental sanitation.It has important practical application value and social significance.
分 类 号:TP23[自动化与计算机技术—检测技术与自动化装置]
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