Iot-based power detection equipment management and control system

Abstract: The development and application scope of the Internet of Things is also becoming more and more extensive. Especially in the application of power testing improved systems, great progress has been made. This article aims to study how to analyze the system detection equipment based on the Internet of Things. This article describes the basic theoretical knowledge of the Internet of Things and power detection improved systems. A clustering analysis algorithm and a support vector machine algorithm based on the Internet of Things are proposed. In the experiment of this article, the scoring items of the expert’s traditional detection system include complex technology, inconvenient use, and incomplete intelligence. Among them, the highest score for complex technology is 8.6 points, the lowest score is 7 points; the highest score for inconvenience is 8.6 points, and the lowest is 8.3 points. It can be seen that related experts believe that the traditional power detection improved system is not only very complicated in technology, very inconvenient to use but also incompletely intelligent. Therefore, it is very necessary to study the system detection equipment based on the Internet of Things.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Iot-based power detection equipment management and control system ; volume:31 ; number:1 ; year:2022 ; pages:1229-1245 ; extent:17 ; Journal of intelligent systems ; 31, Heft 1 (2022), 1229-1245 (gesamt 17)

Beteiligte, Orts- und Zeitangaben

• Urheber: Chen, Jintao ; Jiang, Jianfeng ; Zhu, Binruo

Weitere Informationen

• DOI: 10.1515/jisys-2022-0127
• URN: urn:nbn:de:101:1-2022121513065982816079
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 15.08.2025, 07:37 MESZ