A Design and Implementation of the system framework for Monitoring Indoor Sensor Data based Augmented Reality

Abstract

Abstract— Large and complex buildings are increasing, and many objects exist in these buildings. Objects generate events through interaction with each other. There is an augmented reality among the technologies for recognizing the surrounding environment, and through augmented reality, data generated in the surrounding environment can be grasped to understand the situation. Among the events that occur indoors are indoor disasters, which can cause damage to people and property. Therefore, it is necessary to collect various indoor sensor data to identify indoor disaster events. At this time, the collected indoor sensor data should confirm and understand information. In the case of an indoor sensor, there are signal data for determining a location or a measurement sensor for understanding an indoor environment. Instant feedback may be possible if such indoor sensor data can be checked through a human visual action rather than devices. Accordingly, if augmented reality technology is used, information can be obtained more easily, and data readability becomes convenient. First of all, the augmented reality-based indoor sensor data monitoring system framework was designed by applying coordinate data of inertial sensors to identify a human’s indoor location so that sensor data can be monitored, and a prototype system was implemented through this. This system can be used as a system to monitor data from firefighters or control centers in the event of an indoor disaster.