Development of an adaptive device-free human detection system for residential lighting load control

• Published in: Computers & Electrical Engineering Vol. 93; p. 107233
• Main Authors: Santiprapan, Phonsit, Sengchuai, Kiattisak, Jindapetch, Nattha, Saito, Hiroshi, Booranawong, Apidet
• Format: Journal Article
• Language: English; Japanese
• Published: Amsterdam Elsevier Ltd 01.07.2021; Elsevier BV
• Subjects: Adaptive control; Algorithms; Control methods; Device-free detection; Energy consumption; Human movement; Lighting; Lighting load control; Motorcycles; Real time; RSSI; Signal strength; Walking; Wireless networks; Wireless sensor network; Wireless sensor network; RSSI; Lighting load control; Human movement; Device-free detection
• ISSN: 0045-7906; 1879-0755
• DOI: 10.1016/j.compeleceng.2021.107233

•A device-free human detection system using RSSI for residential lighting load control was developed.•A device-free human detection algorithm as the adaptive algorithm was proposed.•A hardware set for lighting load control and a lighting load control method were developed.•The system could detect the moving persons with the accuracy of 100%.•The system could control the residential lighting load in real-time with electricity energy saving. A real-time device-free human detection system using received signal strength indicator (RSSI) for residential lighting load control is developed in this work. The proposed system consists of four parts: a designed wireless network based on ZigBee 2.4 GHz, RSSI filters using moving average (MA) and exponentially weighted moving average (EWMA) techniques, an adaptive device-free human detection algorithm, and a hardware set for lighting load control and a lighting control method. Experiments are carried out in a laboratory with two scenarios: a walking female (a home scenario) and a walking female and a man with his motorcycle (a parking scenario). Results show that our system can detect the moving persons with 100% accuracy and can control the residential lighting in real-time. By the proposed system, the cumulative electricity energy consumption of the lighting load reduces by (72.12% and 29.31%) for the first scenario and (86.19% and 54.84%) for the second scenario. [Display omitted]