Private Cloud Monitoring System for Living Environment and Home Safety

• Main Authors: YI HSIN-MIN, 易欣民
• Other Authors: HSU, TERNG-REN
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/89297366545017297794

碩士 === 中華大學 === 電機工程學系 === 105 === The purpose of this study is to build a private cloud monitoring system for living environment and home safety. It is used to monitor the indoor and outdoor living environment, but also to detect the human activities in the room. When the indoor environment sensing or human activity monitoring has detected any abnormal status, the proposed system issued the alarm, immediately. When the outdoor air quality is poor, the proposed system can remind users to do the appropriate protection before going out. The proposed system are divided into four subsystems, these four parts are based on MTK Linkit ONE development boards, were placed in the living room, room, kitchen, and balcony. The subsystem in the living room are integrated with a temperature and humidity sensor, a dust sensor, a carbon monoxide sensor, and a human-body infrared sensor. The subsystems in the room are integrated with a temperature and humidity sensor, a carbon monoxide sensor, a smoke and harmful gas sensor, and a human-body infrared sensor. The subsystems in the kitchen are integrated with a temperature and humidity sensor, a carbon monoxide sensor, a smoke and harmful gas sensor, and a flame sensor. The subsystems in the balcony are integrated with a temperature and humidity sensor, a dust sensor, and a smoke and harmful gas sensor. Each sensing subsystem uploads the monitoring data to the cloud using Wi-Fi wireless communications. It can also be connected directly to the Android smartphone by Bluetooth wireless interface for real-time monitoring data display. The developed Android application software can remotely capture the sensing data of our proposed system by linking the cloud storage. The smartphone will also directly connect to any sensing subsystem for real-time sensing data monitoring. The proposed scheme is able to improve the quality of life while improving home safety.