Development of Meter Data Management System Based-on Event-Driven Streaming Architecture for IoT-based AMI Implementation

Building an accurate, precise, fast, and extensive capacity metering system is mandatory for electricity utility companies. Therefore, several years ago, utilities have built automated meter reading (AMR) systems to run energy measurement business processes to help companies earn revenue. With the growing demand for utilities for detailed and real-time energy measurements at customers, utility companies need to migrate technology from AMR to Advance Metering Infrastructure (AMI). This effort will require the development of information technology and supporting equipment. One of them is the Meter Data Management System (MDMS). It is an essential part of the AMI system to handle the utility company's business processes and the Service Level Agreement (SLA). This paper discusses developing an MDMS for an electricity company's AMI energy measurement system using an IoT-based approach. It leads to a massive meter reading in a certain interval period and handling such conditions required implementing the event-based streaming architecture. The Head-End System (HES) uses the enhanced AMR-based one. The measurement results of the proposed MDMS-HES for AMI show the reading process can handle massive meter reading precisely and detect any abnormal measurement quantities. The reading interval only takes 37.5% of the SLA required by the utility company to read 100% of the meter population. This advanced capability can guarantee better measurement results and guarantee the certainty of the company's revenue.