International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 05 | May 2024
p-ISSN: 2395-0072
www.irjet.net
Integrating DLMS with IoT: A Framework for Data Exchange and Interoperability Amar Shah1, Manan Desai2, Sandip Panchal3 1Research Scholar, Dr. Subhash University 2Assistant Professor, Dr. Subhash University, 3 Associate Professor, Dr. Subhash University, India
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Abstract - The evolution of smart grid technology
this gateway empowers stakeholders to harness the collective intelligence of DLMS-enabled devices within Internet of Things platforms, thereby unlocking a wealth of opportunities for real-time monitoring, analytics, and control. This symbiotic relationship not only enriches traditional energy management practices but also paves the way for innovative applications such as demand response, predictive maintenance, and adaptive energy optimization.
necessitates the seamless integration of advanced metering infrastructures with Internet of Things (IoT) platforms to enhance data accessibility and operational efficiency. This paper presents the design and implementation of a Data Link and Management Services (DLMS) to IoT converter using the ESP32 microcontroller, leveraging the Gurux DLMS client software. The primary objective is to facilitate real-time data acquisition and transmission from DLMS/COSEM compliant smart meters to IoT ecosystems, enabling robust monitoring and control capabilities The proposed system architecture comprises an ESP32 microcontroller interfaced with DLMS/COSEM smart meters via a serial communication protocol. The Gurux DLMS client software, deployed on the ESP32, handles the data extraction process by establishing and maintaining communication sessions with the smart meters. Subsequently, the acquired data is encapsulated in MQTT (Message Queuing Telemetry Transport) protocol packets and transmitted to a cloud-based IoT platform for further analysis and visualization.
Against this backdrop, our review endeavors to delve into the intricacies of DLMS to Internet of Things integration, exploring the technical nuances, implementation challenges, and transformative potential of this symbiotic relationship. Through a comprehensive analysis of existing frameworks, case studies, and emerging trends, we aim to illuminate the path towards a more resilient, responsive, and sustainable energy infrastructure. By elucidating the synergies between DLMS and Internet of Things paradigms, we seek to inspire novel solutions and catalyze the adoption of transformative technologies in the pursuit of a smarter, greener future.
2. LITERATURE REVIEW:
Key Words: DLMS/COSEM, IoT Gateway, Smart Grid, ESP32 Microcontroller, Gurux DLMS Client, MQTT Protocol, Data Acquisition, Real-Time Monitoring, Smart Metering, Energy Management, Predictive Maintenance, IoT Integration, Cloud-Based Platform.
DLMS, a standardized protocol, is widely used for utility metering communications, facilitating reliable data exchange between devices. IoT connects various devices to the internet, enabling real-time data collection and analysis. Integrating DLMS with IoT can significantly improve the efficiency and functionality of smart grids by enabling seamless data interoperability and real-time monitoring.
1. INTRODUCTION: In the realm of energy management and smart metering, the convergence of DLMS (Device Language Message Specification) with Internet of Things gateways heralds a transformative era. DLMS, renowned for its standardized protocols facilitating efficient communication with smart devices, has long served as the backbone of energy data exchange. However, as the Internet of Things landscape burgeons with interconnected devices and data streams, the imperative to seamlessly integrate DLMS-enabled devices into the broader Internet of Things framework becomes increasingly apparent.
a. DLMS and Smart Metering Smith et al. (2018) discuss the role of DLMS in enhancing the accuracy and reliability of smart meters. They highlight how DLMS provides a standardized approach for data exchange in urban. settings, ensuring interoperability among various metering devices and systems . Jones and Kumar (2019) examine the challenges of implementing DLMS in rural areas. They emphasize the need for robust communication protocols to handle the limited infrastructure and connectivity issues prevalent in these regions .
The DLMS to Internet of Things gateway emerges as the linchpin in this convergence, bridging the gap between legacy DLMS infrastructure and the dynamic Internet of Things ecosystem. By acting as a conduit for data exchange,
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