The purpose of this study is to secure a social safety net such as the prevention of loneliness by targeting the elderly and single households for the vulnerable class in this study. In this regard, elements that are essential in basic life were defined as life-responsive information, and methods for data collection and linkage with the welfare system were sought. Life responsive data was defined as indoor motion detection and door open detection sensors based on the energy consumption data required by home appliances used on a daily basis. In addition, public data such as electric power companies were linked in order to link with the energy welfare system. As a result, various life-response information was collected according to the characteristics of each household, and the characteristics of an elderly single household were derived. In the future, in order to secure energy welfare and social safety net at the same time, it is thought that it will be possible to collect data accumulated over the four seasons and use it to secure a safety net for the elderly.