The Development of a State-Aware Equipment Maintenance Application Using Sensor Data Ranking Techniques

Abstract

Billions of electric equipment are connected to Internet of Things (IoT)-based sensor networks, where they continuously generate a large volume of status information of assets. So, there is a need for state-aware information retrieval technology that can automatically recognize the status of each electric asset and provide the user with timely information suitable for the asset management of electric equipment. In this paper, we investigate state-aware information modeling that specializes in the asset management of electric equipment. With this state-aware information model, we invent a new asset state-aware ranking technique for effective information retrieval for electric power and energy systems. We also derive an information retrieval scenario for IoT in power and energy systems and develop a mobile application prototype. A comparative performance evaluation proves that the proposed technique outperforms the existing information retrieval technique.

Condition Monitoring and Analysis Method of Smart Substation Equipment Based on Deep Learning in Power Internet of Things

“…In the pIoT context, the perception layer's multi-dimensional state information is often huge in quantity and has many attributes (Lee & Lee, 2020). To meet the demand of pIoT for "real-time state perception and real-time data acquisition" of smart substation equipment (Shao & Chen, 2022;Wei et al, 2021), cloud computing and edge computing are combined to build the collaborative smart substation power IoT architecture.…”

New Business Models from Prescriptive Maintenance Strategies Aligned with Sustainable Development Goals

“…Embedded sensors, software, controllers, connectivity, breakthroughs in networking, edge and fog computing, cloud technology, faster CPUs, cheaper memory, energy efficiency, and miniaturisation are all converging to create low-cost processing power and data storage everywhere and they became the key enabling technologies fuelling up the evolution in the paradigms [32][33][34]. As presented in Merluzzi and Brunetti [35] the "Reliability-Centered Maintenance" represents a systematic approach to evaluate a facility's equipment and resources to best mate the two and result in a high degree of facility reliability and costeffectiveness.…”