Japan's IoT technology is constantly being used in the field of disaster prevention and relief. For a country where earthquakes, typhoons and other natural disasters are frequent, the application of this technology undoubtedly has important practical significance. It is through flexible use of big data analysis that Yahoo Japan developed a technology that quickly mastered the more hidden shelters after a disaster. When the Kumamoto earthquake struck in April this year, Yahoo analyzed real-time people's trajectories after the earthquake and displayed real-time maps showing the locations of different densely populated areas. This technology allows local governments to quickly learn what places people will choose to take refuge after a disaster strikes. In addition to the sanctuaries designated by the executive branch, which emergency shelters are available. (See the figure below.) The use of this technology can greatly help the relevant government departments to determine the actual location of these venues as soon as possible in order to better conduct planned post-disaster relief, such as the distribution of relief supplies. Figure Kumamoto after the earthquake a high concentration of people in the position Population density data is based on user downloads using the software called "Yahoo! Disaster Prevention Express," a smart phone software to achieve the task of statistical analysis. The system can quickly figure out the real-time population concentration of evacuation sites, and carry out effective geo-labeling according to the different warning colors. The resulting population density map is based solely on the statistics of the end-user's mobile location after the disaster. When compared to a map of daily population density, people know what places are available for temporary shelter in emergency situations. It is said that during the period after the Kumamoto earthquake, many victims did not go to the designated shelter. Since the government and the SDF involved in disaster relief have no way of knowing exactly where people have taken refuge and how many have taken refuge there, there was a moment of turmoil in the confirmation of personal safety information and the distribution of relief supplies after the disaster. As a result, some Japanese companies have started to target large data and IoT technologies to enhance the collection and analysis of related information and continuously apply IoT to service areas including natural disaster relief such as earthquakes. For example, in the area of ​​cutting-edge technologies for disaster response, NEC is developing a project to predict the possibility of landslides and other sediment disasters by monitoring the weak vibrations on the slopes and to provide early warnings 10-40 minutes prior to the disaster. The system embeds sensors in slopes that are prone to sediment disasters, and then observes the weak vibrations caused by heavy rains on slopes in heavy rainfall. The collected data are then sent back to the Disaster Warning Center through sensors. Early warning center based on sediment weight, viscosity and groundwater pressure and other data analysis, to come to the danger of disaster may occur. If this indicator has reached the warning level, the government will immediately inform the nearby residents of early warning information, as well as various vehicles that will pass through this section of road, reminding them to take the necessary measures to guard against work. Translated from: August 25, 2016 Japan Japan Economic News Compile: Ministry of Industry and Information Technology International Economic and Technical Cooperation Center Tian Bin