Proposal of a sensing network system for data assimilation of heat simulation

Abstract

In recent years, the increase in extreme weather events has caused serious social problems such as increased risk of heat stroke. As a countermeasure, the Earth Simulator supercomputer is being used to simulate heat, which reproduces temperature, humidity, and other environmental factors. Since the prediction of the heat environment on an urban scale is required, it is necessary to ensure high accuracy through data assimilation. In this study, a sensor network system that assimilates measured data from physical space was constructed to improve the accuracy of the simulation and to realize a digital twin of the city through data assimilation. As a result of a demonstration experiment conducted in Yumeshima, the site of the Osaka Expo, it was confirmed that the sensors and communication worked properly and contributed to the construction of a digital twin.