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BLE-Enabled On-Site Diagnostics For An IoT/Cloud-Controlled Energy Substation
- Source :
- SMARTCOMP
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- A visit from qualified and authorized personnel to troubleshoot customer-premises equipment (CPE) on-site is an example of a situation where both local wireless connectivity and access to the Cloud may be needed, the former to discover proximal equipment to probe and diagnose upon, the latter to promptly send useful data back to the company providing services to the customer, e.g., without waiting for the repair session to be over and the personnel have left the premises. In such a scenario, the company support service may take advantage of a dynamic coupling and interaction among the Cloud, mobiles (as personnel-borne equipment), and IoT devices (as bolt-on addition to the, possibly legacy, CPE). For this purpose, a software architecture for the collection and transmission of metrics of interest through a combined system, featuring a Cloud instance and a mobile-based agent, has been implemented. The reference architecture is composed of IoT-Cloud and edge/mobile devices, specifically smartphones and embedded boards, the latter equipped with a Cloud-controlled agent as a software component, with the goal to collect useful metrics from hardware devices of an energy substation, as a way to support remote and on-site diagnostics through technologies such as Bluetooth Low Energy. We present the reference architecture, its implementation, and some preliminary results on the effectiveness of the proposed solution.
- Subjects :
- Stack4Things
IoT
Service (systems architecture)
business.industry
Computer science
Arancino
Cloud computing
Android
Bluetooth Low Energy
Cloud
energy substation
Component-based software engineering
Session (computer science)
Reference architecture
Android (operating system)
business
Software architecture
Mobile device
Computer network
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 IEEE International Conference on Smart Computing (SMARTCOMP)
- Accession number :
- edsair.doi.dedup.....90775c48b3e5a8083c5b6ada85cc9e56
- Full Text :
- https://doi.org/10.1109/smartcomp52413.2021.00068