System for remote monitoring employing security light for security of danger region employing bigdata and AI

• Main Authors: AN SHIK CHOI, MOON DAE HWANG, LEE IL WOO
• Format: Patent
• Language: English; Korean
• Published: 10.05.2021
• Subjects: ALARM SYSTEMS; BLASTING; CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRIC HEATING; ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR; ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR; ELECTRICITY; HEATING; INDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21Sand F21V, RELATING TO USESOR APPLICATIONS OF LIGHTING DEVICES OR SYSTEMS; LIGHTING; MECHANICAL ENGINEERING; ORDER TELEGRAPHS; PHYSICS; PICTORIAL COMMUNICATION, e.g. TELEVISION; SIGNALLING; SIGNALLING OR CALLING SYSTEMS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION; WEAPONS

An embodiment relates to a system for remote monitoring of security lights in danger zones by using big data and AI. Specifically, when monitoring the security light for a plurality of IoT devices in a security light control system, the system receives personal information and environmental information, including passersby information, from a security light controller for each IoT device, integrates the received information with meteorological information including weather, temperature, and humidity and converts the integrated information into big data for each time period. The system extracts corresponding security information by time period by deriving information on a situation or a state in which a risk occurs from the result of the big data. In the case of the security information, the system manages the danger region by providing a corresponding control command to the security light controller for each IoT device through the AI. Therefore, when monitoring the security lights installed in various areas, the remote control system provides a safe surrounding environment by controlling an operation of the security light controller through the AI. 실시예는 빅데이터와 인공지능을 이용한 위험지역 방범의 보안등 원격모니터링 시스템에 관한 것이다. 구체적으로, 이러한 시스템은 보안등 관제시스템에서 다수의 IoT 디바이스용 보안등 제어기를 모니터링할 경우, 각 IoT 디바이스용 보안등 제어기로부터 주변의 행인정보를 포함한 인적정보와 환경정보를 제공받아서, 날씨와 온도, 습도를 포함한 기상정보와 통합적으로 시간대별로 빅데이터화한다. 그리고, 이렇게 빅데이터화된 결과로부터 위험이 발생되는 상태 또는 상황정보를 도출하여 대응하는 방범정보를 시간대별로 추출한다. 그래서, 이러한 방범정보에 해당하는 경우, 각각의 IoT 디바이스용 보안등 제어기로 해당 제어명령을 인공지능을 통해 제공함으로써, 위험지역을 관리하는 것을 특징으로 한다. 따라서, 이를 통해 여러 지역 등에 설치된 보안등을 모니터링할 경우, 원격지 관제 시스템에서 보안등 제어기의 동작을 인공지능을 통해 제어하여 안전한 주변 환경을 제공한다.