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作 者:冀裕 陈汝铨 许振楚 赖源平 李伟廉 朱莹淇 JI Yu;CHEN Ru‑quan;XU Zhen‑chu;LAI Yuan‑ping;LI Wei‑lian;ZHU Ying‑qi(Guangzhou Water Supply Co.Ltd.,Guangzhou 510000,China;Guangdong Longquan Technology Co.Ltd.,Guangzhou 510000,China)
机构地区:[1]广州市自来水有限公司,广东广州510000 [2]广东龙泉科技有限公司,广东广州510000
出 处:《中国给水排水》2025年第2期82-88,共7页China Water & Wastewater
摘 要:为克服人工巡检的不确定性,提升巡检质量,某大型水厂引入了“5G+智慧巡检”技术,将搭载5G技术的智能巡检机器人应用于V型滤池,结合其运行特点和巡检需求,运用图像识别算法和机器学习模型开发针对V型滤池的多种异常状态检测算法。搭载异常检测算法的2台机器人交替互补运行,实现24 h全天候无间断巡检,发生异常情况及时预警,并为优化反冲洗设定参数提供数据支撑和决策依据,实现了滤池的智能化、便捷化、无人化管理,全面提升了V型滤池的智慧化运营管理水平。In order to overcome the uncertainty of manual inspection and improve the inspection quality,a large waterworks introduced the“5G+intelligent inspection”technology and applied the intelligent inspection robot equipped with 5G technology to the V‑filter.Combining the operation characteristics and inspection requirements of the V‑filter,image recognition algorithm and machine learning model are used to develop a variety of abnormal state detection algorithms for the V‑filter.Two robots equipped with the anomaly detection algorithm operate in an alternate and complementary manner to continue 24 h of inspection,timely warning of abnormal conditions.They could provide data support and decision‑making basis for optimizing backwash operation parameters and realize intelligent,convenient and unmanned management of the V‑filter,thus comprehensively improving the intelligent operation and management level of V‑filter.
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