The purpose of this study is to propose guidelines for sensor installation in different types of underground space smart sensing platforms. Firstly, we classify the underground space, analyze the scene requirements according to the classification of underground space, and sort out the requirements for sensors in various types of underground space. Secondly, according to the requirements of underground space scenes for sensors, the types of sensors and corresponding parameters are clarified. After that, the system design and sensor installation guidelines of the underground space smart sensing platform are proposed by sorting out the data acquired by the sensor.

With global aging accelerating, improving the efficiency and quality of elderly care is increasingly critical. This study proposes smart nursing home design guidelines to enhance care through smart device integration. The guidelines include two parts: smart device selection criteria, based on next-generation elderly needs identified via Japanese public surveys, and smart nursing home model templates, built upon existing Japanese housing standards. These guidelines provide practical recommendations on device usage, placement, and spatial optimization to improve accessibility and nursing efficiency. The study concludes by validating the effectiveness of the guidelines in addressing the requirements of the next generation of elderly people through a case study, which shows that although construction costs have increased by an average of 18.35%, the guidelines have ensured a safer, more comfortable, and technologically advanced nursing home environment.