Smart Industrial Gas Turbine Low-Cost IoT Architecture

The smart energy systems, based on the numerous digital technologies, became an integral part of the current efforts to revolutionize energy production. One of the main cornerstones of smart energy concept is connectivity, which is typically enabled through Industrial Internet-of-Things (IIoT) technology.

In this contribution we present a development of Low-Cost Internet-of-Thing (IoT) architecture with the intention to provide a secure and reliable connection of Industrial Gas Turbine (IGT) systems with Cloud environment. We utilized simulation environment, to explore integration of the Executable Digital Twin with IoT Gateway, with subsequent deployment onto dedicated Low-Cost Edge platform.

The developed IoT gateway architecture encompasses key features related to connectivity, computing power, and communication capability. The proposed Low-Cost IoT architecture supports Live Data Streaming (LDS) which allows remote monitoring and Real-Time (RT) analytics of IGT system. The IoT gateway platform satisfies the requirements attributed to secure and fast onboarding process, and moreover cost efficiency and scalability.

The devised Edge system, via reliable connection to the IGT control system, is able to collect, enrich and transfer data, for the purpose of the local and remote analytics and visualization. The Gas Turbine (GT) trackable data (sensor measurements and control signals) are enriched with the virtual engine data (soft sensors and internal health parameters) generated by the Executable Digital Twin (xDT) and streamed to the Cloud platform, where the Real-Time analytics and optimization of assets are carried out.

Feasibility and viability of proposed design are disused in this study, and we present Live Data Streaming into Amazon Web Services (AWS) Cloud environment, configured for the Real-Time monitoring of the Industrial Gas Turbine engine.