Remotely Read and Transfer Energy Meter Parameters in an RF and IoT Network

In industrial facilities, process quantities are categorized into two main groups. The first group includes non-electrical variables associated with technological operations, such as pressure, flow, temperature, and level, which require conversion into electrical signals through sensors and converters. The second group consists of electrical metrics related to electricity distribution and consumption, which are already in electrical signal form and do not need conversion. A key similarity between signals in both groups is the necessity for accurate measurement, collection, visualization, and distribution. Modern measurement systems can visualize quantities on displays, transmit data remotely, and store it for future analysis. This paper examines challenges related to the second group of signals, specifically the measurement of electrical data from installed energy meters (EM). These smart EM operate under EU regulations and are used in both industrial and residential settings. They calculate parameters like active and reactive power based on measured values of voltage and current. However, a limitation exists: reading and data collection are conducted manually on-site, preventing remote access. To overcome this challenge, the paper proposes an electronic system connected to existing smart EM, enabling local data transmission to personal computers and remote access via Intranet and IoT networks. This innovation could significantly improve energy data management and monitoring processes.

Publication Details

Journal
Goce Delchev University Repository (Goce Delčev University of Štip)
Published
2025-08-28
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Remotely Read and Transfer Energy Meter Parameters in an RF and IoT Network

Goce Delchev University Repository (Goce Delčev University of Štip)
Geochemistry and Geologic Mapping
article

Remotely Read and Transfer Energy Meter Parameters in an RF and IoT Network

article en

Abstract

In industrial facilities, process quantities are categorized into two main groups. The first group includes non-electrical variables associated with technological operations, such as pressure, flow, temperature, and level, which require conversion into electrical signals through sensors and converters. The second group consists of electrical metrics related to electricity distribution and consumption, which are already in electrical signal form and do not need conversion. A key similarity between signals in both groups is the necessity for accurate measurement, collection, visualization, and distribution. Modern measurement systems can visualize quantities on displays, transmit data remotely, and store it for future analysis. This paper examines challenges related to the second group of signals, specifically the measurement of electrical data from installed energy meters (EM). These smart EM operate under EU regulations and are used in both industrial and residential settings. They calculate parameters like active and reactive power based on measured values of voltage and current. However, a limitation exists: reading and data collection are conducted manually on-site, preventing remote access. To overcome this challenge, the paper proposes an electronic system connected to existing smart EM, enabling local data transmission to personal computers and remote access via Intranet and IoT networks. This innovation could significantly improve energy data management and monitoring processes.

Goce Delchev University Repository (Goce Delčev University of Štip)
Affordable and clean energy
Openalex Percentile: Top 41%
Geochemistry and Geologic Mapping
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