Fujitsu Limited and Fujitsu Laboratories said to have developed a sensor data analysis technology which can aggregate vibration data with sensors attached to the surface of a bridge, and then estimate the degree of the bridge’s internal damage through the application of “FUJITSU Human Centric AI Zinrai technology,” Fujitsu’s approach to artificial intelligence.
This technology was validated using data obtained from verification tests of fatigue degradation of bridges(1) carried out by the Research Association for Infrastructure Monitoring System (RAIMS)(2), a mutual aid organization that carries out joint research into technologies used in industrial activities.
In this way the technology enables enhanced maintenance and management tasks, making it possible to remotely estimate the degree of internal damage to bridge infrastructure.
Details of this technology will be announced at the Japan Society of Civil Engineers 2017 Annual Meeting, which is scheduled to be held at Kyushu University on Sept 11-13, 2017.
Newly Developed Technology
Fujitsu and Fujitsu Laboratories have developed technology that can discover anomalies and express in numerical terms degrees of change that demonstrate drastic changes in the status of objects such as structures or machinery, and detect the occurrence of abnormalities or distinctive changes. The technology learns from the geometric characteristics extracted from complex, constantly changing time-series vibration data collected by sensors equipped on IoT devices (Figure 1), thus enabling users to estimate and validate the state of degradation or failure in a variety of social infrastructure or machinery.
This technology has now been confirmed through the application of verification test data from RAIMS.