Artikel ; Online: Design and use of a wireless temperature measurement network system integrating artificial intelligence and blockchain in electrical power engineering.
2024 Band 19, Heft 1, Seite(n) e0296398
Abstract: This work aims to investigate the potential fire hazard stemming from the overheating of power equipment. The advent of the artificial intelligence era has facilitated the fusion of blockchain and Internet of Things (IoT) technologies. This work delves ... ...
| Abstract | This work aims to investigate the potential fire hazard stemming from the overheating of power equipment. The advent of the artificial intelligence era has facilitated the fusion of blockchain and Internet of Things (IoT) technologies. This work delves into the technical standards for IoT equipment monitoring and smart grid communication, and the IoT environment of power grid equipment. This work introduces a temperature monitoring network tailored for IoT wireless power equipment suitable for the power environment, and conducts system debugging in the power laboratory. The findings affirm that the temperature out-of-limit alarm testing has met the required criteria, confirming the system's ability to issue timely warnings when temperatures breach a predefined threshold, effectively avoiding high-temperature misfires. This work fully harnesses the secure and user-friendly operation of smart blockchain and the wireless sensing technology of the IoT to realize online monitoring and remote temperature measurement of the power system. It can effectively prevent equipment from overheating and damage, and promote the development of equipment condition monitoring technology in electric power engineering. |
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| Mesh-Begriff(e) | Humans ; Temperature ; Artificial Intelligence ; Blockchain ; Heat Stroke ; Communication |
| Sprache | Englisch |
| Erscheinungsdatum | 2024-01-02 |
| Erscheinungsland | United States |
| Dokumenttyp | Journal Article |
| ZDB-ID | 2267670-3 |
| ISSN | 1932-6203 ; 1932-6203 |
| ISSN (online) | 1932-6203 |
| ISSN | 1932-6203 |
| DOI | 10.1371/journal.pone.0296398 |
| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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