University of Tokyo - Department of Architecture

赤司研究室博士後期課程2年の宮田翔平が国際会議「ASIM2018」にてBest Student Paper Awardを受賞しました

2018年12月3日から5日にかけて香港理工大学において開催された、第4回IBPSAアジア会議 (the 4th Asia Conference of International Building Performance Simulation Association – ASim2018)にて赤司研究室博士後期課程2年の宮田翔平がBest Student Paper Award (1st Prize)を受賞しました。
題目は「Model-Based Fault Detection and Diagnosis Using Convolutional Neural Networks in Heat Source System with Water Thermal Storage Tanks」で、詳細なシステムシミュレーションと深層学習を用いることで空調熱源システムの不具合を自動で検知・診断する手法を提案しました。

Shohei Miyata (Akashi laboratory, PhD student, 2nd year) won the Best Student Paper Award (1st Prize) at the 4th Asia Conference of International Building Performance Simulation Association (ASim2018) held at Hong Kong Polytechnic University during 3rd to 5th, December 2018.
The proceeding was entitled “Model-Based Fault Detection and Diagnosis Using Convolutional Neural Networks in Heat Source System with Water Thermal Storage Tanks” and proposed a method to detect and diagnose faults in heat source system using deep learning and a detailed system simulation that is originally developed.