近年来, 随着人工智能视觉识别和边缘智能计算的发展, 基于视觉识别的智能巡视或在线监测技术在传统校园安防、实验室安全监测和工业生产运维监测中取得重要的应用. 校园安防和实验室安全监测旨在保护师生们的人身安全, 避免校园霸凌或实验室安全事故等事情的发生; 工业生产运维监测则是对工业场景中的设备或作业行为等进行隐患缺陷识别预警, 避免故障危险发生后产生巨大的损失. 在安防安全或生产运维监测任务中, 若采用人工的方式进行实时的检测会非常浪费劳动力且效率很低, 还有可能存在人工的疏忽导致危险隐患未被发现. 本文根据校园安防安全或工业生产运维监测领域需求, 以工业变电站运维监测为基础, 设计并实现了一个基于微服务的智能巡视系统, 该系统无须过多人工参与, 能够自动进行巡视, 在发现危险后会进行警告. 同时, 该系统采用先进的任务执行调度系统, 执行一遍巡视仅3 ~ 5 min, 大大提高了巡视和发现危险的效率. 该系统可应用于校园安防安全和工业变电站的智能巡视.

Recently, with the development of artificial intelligence, visual recognition, and edge intelligent computing, intelligent patrol or online monitoring technology based on visual recognition has found important applications in conventional campus security, laboratory safety monitoring, and industrial production operation and maintenance monitoring. Campus security and laboratory safety monitoring aim to protect the personal safety of students and teachers and avoid incidents such as campus bullying or laboratory safety accidents. Industrial production operation and maintenance monitoring is the identification and early warning of hidden dangers and defects in equipment or operational behaviors in industrial scenarios to avoid huge losses caused by faults and hazards. In security and production operation monitoring tasks, using manual methods for real-time detection can be labor-intensive and inefficient, and human negligence that leads to undetected dangers could occur. Therefore, based on the needs of campus security and safety or industrial production operation and maintenance monitoring, this study designs and implements an intelligent patrol system based on microservices and the operation and maintenance monitoring of industrial substations. The system does not require excessive manual participation and can automatically conduct patrols, identify dangers, and provide early warnings. Subsequently, the system adopts an advanced scheduling system that takes only 3–5 min to perform one patrol, considerably improving the efficiency of hazard detection during patrols. The system can be applied to intelligent patrols of campus and industrial substations, security, and safety.