IoT-based detecting, locating and alarming of unauthorized intrusion on construction sites

Monitoring of unauthorized intrusion on construction sites is crucial to reducing safety accidents. The existing methods have shortages such as detection error, locating error, alarming delay and difficulties in identifying intruders based on their backgrounds. This study is to address these problems in enhancing real-time intrusion monitoring through Internet of Things (IoT)-based technologies. Five components including intelligent hardhats, portable RFID triggers, web-based management platform (WBMP), smartphone APP and cloud server are studied and developed to implement the IoT-based intrusion monitoring system. Some improvements on detecting error, locating error and alarming delay of intrusion as well as intelligent hardhats and portable RFID triggers regarding effectiveness, convenience and safety are achieved. The study provides an IoT-based methodology to help the project managers enhance safety management by real-timely monitoring the on-site persons with different access right levels regarding their backgrounds, retrieve the intrusion record and plan countermeasures such as reward and punishment mechanism.