Paper Abstract and Keywords |
Presentation |
2021-11-16 11:30
Development of Wireless Communication System for Acoustic Data Collection Toward Anomaly Detection on Mechanical Equipment Chinari Takano, Shinya Fujino, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga (Kyushu Inst. of Tech.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the proliferation of Internet of Things (IoT) devices, we are able to monitor and operate these devices remotely at a low cost. An example of such an IoT system is a system for anomaly detection on the mechanical equipment by the acoustic data. The acoustic data size is large. When we collect such acoustic data by wireless communication, Wi-Fi is effective. However, Wi-Fi has the problem which communication performance degradation by wireless channel interference and communication distance. Therefore, we investigated the performance of the communication characteristics of Wi-Fi for the continuous transfer of large data by preliminary experiments. As a result of the preliminary experiment, the communication performance was insufficient for transferring all recorded data due to be long transfer time. From this result, we propose a transmission timing control method and the reduction processing of transmission data. Finally, through demonstration experiments with multiple mechanical equipment outdoor, we verify the feasibility of the system. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Data Collection System / Acoustic Data / Wi-Fi / Wireless Communication / IoT / Anomaly Detection / / |
Reference Info. |
IEICE Tech. Rep. |
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