Abstract
The present work addresses the predictive maintenance of Secondary Distribution Substations (SDS) by resorting to IoT models and technologies. Consisting of a fully modular platform, this solution encompasses a number of different wireless smart sensors whose data are locally integrated in an edge unit (information handler and gateway to the cloud). A comprehensive diagnosis, involving both data trending and the detection of single events, is remotely fed to people in charge. Thus, it contributes not only to improve the quality of service, by reducing the number and duration of power outages, but also to reduce costs to both operational and long-term investments.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
