A new disaster prevention and mitigation system that combines vehicle data, mobile terminal information, and IoT.
1. The current status of local governments that face frequent natural disasters
Due to the climate change such as global warming, natural disasters such as heavy rains, strong winds, and droughts are increasing not only in Japan but also in many parts of the world. In Japan, in contrast to the increasing risk of natural disasters, human resources and financial budgets are not enough to deal with those risks every year due to a decrease of population and the continuous financial difficulties associated with the declining birthrate and aging population.
2. New disaster prevention and mitigation system that combines vehicle data, mobile terminal information and IoT
The information support system for local governments as a measure against disasters (hereinafter “the system”) was developed to resolve the disaster prevention administrative challenges, which local governments are facing, by fully utilizing ICT (Information and Communication Technology).
The system integrates the monitoring information from the disaster prevention IoT sensors which we developed, as well as the population dynamics data possessed by the KDDI CORPORATION (“KDDI”) (Note 1), probe data obtained by Toyota Motor Corporation from connected cars (Note 2), and meteorological information transmitted by the Japan Meteorological Agency, etc. Then, the best information that local governments need in the event of disasters is displayed on the computer maps of the system.
The system constantly monitors dangerous areas in the region, such as waterways, reservoirs and sedimental disaster hazardous areas by using disaster prevention IoT sensors. It also captures the occurrence of dangerous situations and the status of evacuation actions in quasi-real-time through the movement data of people and vehicles. Therefore, the system supports local governments’ highly efficient disaster prevention and mitigation activities such as timely traffic restrictions, evacuation orders and appropriate allocation of relief materials.
(Note 1) The data on positional information is gathered by KDDI from au smartphone users upon obtaining their approval, and it refers to positional information data and attribute information (gender, age group) that has been processed to prevent the identification of individuals.
(Note 2) Driving performance data such as vehicle position and speed, braking, and behavior that can be gathered from vehicles equipped with sensors.
3. What is the disaster prevention IoT sensor?
The disaster prevention IoT sensor was developed with the aim of constructing an area-wide disaster prevention information system by installing many sensors in a wide area.
1. Flood detection sensor “KAN SWITCH”
Installed the sensors on the top/slope of roads, reservoirs, and river levees. As soon as the sensor is flooded, it issues an alert via the cloud system and appears on the map.
2. Simple inclinometer “Clinopole”
When the sensor, which is installed at dangerous places of sedimental disaster, detects the tilts, it sends alerts via the cloud system, and the information is displayed on the computer maps.
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