Industrial internet of things (IIoT) in energy sector

Abstract

Internet of Things (IoT) represents a new production reality. Since 2000 the usage of IoT has been steadily increased in almost every sector, i.e., industry, business, entrepreneurs. The information derived from the data gathered from the new devices connected to the internet, i.e., IoT, can be used to develop new services, improve productivity and efficiency, improve decision making in real time, resolve critical problems and create innovative experiences. “Industry 4.0” concept has the flexibility to achieve interoperability between the different industrial engineering systems. Industrial Internet of Things (IIoT) is used to transfer the data from systems that monitor and control the industrial equipment to data processing systems that cloud computing has shown to be important tools for meeting processing requirements by using Wi-Fi, radio, satellite or cellular networks. In the study interviews with energy experts/managers are performed and fuzzy multi objective mathematical model is developed to calculate IIoT in energy sector. IoT technologies offer greater availability of information throughout the chain of value, allowing for amortization of better tools for decision making. Using sensor devices in energy sector offers automated execution of the processes and the usage of Machine Learning (ML) and Artificial Intelligence (AI) in energy industry allow systems to communicate with each other, making their own decisions. IIoT enables real-time quality monitoring, which helps identify the nonconformities within the processes and energy production sector easily.