Design of Data Management System for Evaluating Driving Performance of Rescue Robot

• Published in: 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) pp. 992 - 994
• Main Authors: Dong-yeong Gu, Young-Duk Kim, Seong-Ho Jeong, Guk-Jin Son, Sang-Eun Seo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2017
• Subjects: Accidents; Evaluation system; Fires; Graphical user interfaces; Performance Test; Rescue Robot; Rescue robots; Sensors
• DOI: 10.1109/IIAI-AAI.2017.130

Recently, special equipment and rescue robots have been developed for us in rescue activities in place of firefighters in disaster and disaster situations. These special equipment and structural robots are equipped with advanced technologies, but the utilization of special equipment and rescue robots is low worldwide. It is difficult to judge the efficiency of special equipment and Rescue robots because the performance of special equipment and Rescue robots according to various structural situations is not quantitatively analyzed. In this research, we constructed various driving tracks to quantitatively evaluate driving performance tests of special equipment and Rescue robots. We also designed a Database to efficiently manage the test results transmitted from Internet of Thing (IoT) sensors on the driving track. The accumulated data in the databased are used for standardization and grading.