IoT Based Model for Data Analytics of KPI Platform in Continuous Process Industry

Abstract

Internet of Things (IoT) is gaining momentum now a days to real time operational environment. The related technologies of IoT is converging to the main stream of industrial applications and replacing the conventional models of data acquisition, analysis, visualization and control in continuous manufacturing process industries. In this paper, we are proposing an IoT based model platform for acquiring various data that is generated in a continuous process manufacturing plant. This includes data from mobile devices and ERP systems as well. This is analyzed using machine learning and artificial intelligence technologies which leads to visualization of Key Performance Indicators (KPIs). It can be displayed on plant level as well as head office level in static and mobile devices. Control instructions can also be given from static devices as well as from mobile devices. Along with proposed platform concept, a prototype is also developed for cement manufacturing plant which is a core engineering continuous process manufacturing industry. The general KPIs in cement plants are explained and the KPIs generated in visualizing devices by the prototype platform are also provided in this paper.Povzetek: Članek predlaga model IoT platforme za analitiko ključnih kazalnikov uspešnosti (KPI) v industriji kontinuiranih procesov, ki vključuje integracijo podatkov iz mobilnih naprav in ERP sistemov, uporabo strojnega učenja in AI za vizualizacijo KPI-jev v proizvodnji cementa.

An Open-Source Supervisory Control and Data Acquisition Architecture for Photovoltaic System Monitoring Using ESP32, Banana Pi M4, and Node-RED

“…Moreover, the high cost of proprietary SCADA systems prevents the massive adoption of small-scale PV installations, while low-cost solutions can be proposed by using IoT architectures. The adoption of the Internet of Things (IoT) in SCADA systems utilizes connected devices and sensors via Internet Protocol (IP) networks to collect and analyze data, offering improved flexibility, scalability, and cost-effectiveness [8]. As a result of the IoT, more PV installations with different nominal capacity, from small rooftop arrays to large solar farms located in remote or urban areas, can employ scalable SCADA systems.…”