- 一般社団法人 情報処理学会
- Journal of Information Processing (ISSN:18826652)
- vol.25, pp.317-320, 2017 (Released:2017-04-15)
Recently, progress has been made in IoT technologies and applications in the maintenance area are expected. However, IoT maintenance applications are not widespread in Japan yet because of the one-off solution of sensing and analyzing for each case, the high cost collecting sensing data and insufficient maintenance automation. This paper proposes a maintenance platform which analyzes sound data in edges, analyzes only anomaly data in cloud and orders maintenance automatically.