IIOT INDUSTRIAL INTERNET OF THINGS-BASED FACILITY MANAGEMENT METHOD IN SMART FACTORY

본 발명의 일 실시예는 스마트 팩토리에서 IIOT 기반의 설비 관리 방법에 관한 것으로, IoT(internet of things) 설비들로부터, 상기 IoT 설비들의 PLC(programmable logic controller) 데이터 및 로그 데이터를 획득하고, IoT 센서들로부터 물리적 센싱 데이터를 획득하고, CCTV(closed-circuit television) 단말들로부터 상기 IoT 설비들의 동작 영상을 획득하여 설비의 오류 상황을 판단하여 설비를 관리하는 것을 특징으로 한다. A server for providing a method and a device for providing an industrial Internet of things (IIOT)-based remote control service for a smart factory can obtain programmable logic controller (PLC) data and log data of Internet of things (IoT) devices from the IoT devices. The server can obtain physical sensing data from IoT sensors. The server can obtain operation images of the IoT devices from closed-circuit television (CCTV) terminals. The server can learn error situations that occur in the IoT devices based on the PLC data and the log data through machine learning. The server can determine that a first error situation occurs in a first IoT device among the IoT devices based on the PLC data and the log data. The server can control the first IoT device according to a first preset scenario according to the occurrence of the first error situation The server can provide a user terminal with information on the first error situation and a first image of the first IoT device recorded by the CCTV terminals during the time when the first error situation has occurred in the first IoT device. Therefore, users can obtain state information and CCTV image information of each device in real time.