The thesis is considering the problem of connecting smart meters (for water, gas, electricity, but with special emphasis on gas) to a central system in a private or public data center, where the data are used for various purposes, including diagnostics, billing, etc. Smart meters need a globally accepted standard that ensures security, interoperability, and efficiency. DLMS/COSEM is the most widespread standard for this, and it is described in detail in this thesis. An on-premises IoT platform for smart gas metering management based on DLMS/COSEM has been developed. It demonstrates data exchange between a smart gas meter and a data acquisition system to manage and control the end customer's gas consumption. Smart meters are installed at the end customer's premises and send data to the IoT platform to which gas suppliers have access. This IoT platform reports data received from the meters such as consumption, real-time alarms (e.g., failed clock synchronization, software errors, flow errors, valve errors, tampering, memory errors), valve status, and battery charge level. These collected data are COSEM objects stored in the local database. The IoT platform developed in this project is user-friendly, extensible, has flexible user access management, and meets customer needs. It helps gas utilities use consumption data to manage bills, and end customers can monitor their gas consumption to offset higher gas bills. Gas utilities using this real-time data collection-based platform can take some necessary actions, such as closing the customer's gas valve in case of unpaid bills and customer relocation. By developing an on-site IoT platform and storing the data on the company's local server, the owner also has complete control over all the data and its security. Therefore, another important measure considered in the development of this platform is the application of high-level security procedures in the exchange of information.

The thesis is considering the problem of connecting smart meters (for water, gas, electricity, but with special emphasis on gas) to a central system in a private or public data center, where the data are used for various purposes, including diagnostics, billing, etc. Smart meters need a globally accepted standard that ensures security, interoperability, and efficiency. DLMS/COSEM is the most widespread standard for this, and it is described in detail in this thesis. An on-premises IoT platform for smart gas metering management based on DLMS/COSEM has been developed. It demonstrates data exchange between a smart gas meter and a data acquisition system to manage and control the end customer's gas consumption. Smart meters are installed at the end customer's premises and send data to the IoT platform to which gas suppliers have access. This IoT platform reports data received from the meters such as consumption, real-time alarms (e.g., failed clock synchronization, software errors, flow errors, valve errors, tampering, memory errors), valve status, and battery charge level. These collected data are COSEM objects stored in the local database. The IoT platform developed in this project is user-friendly, extensible, has flexible user access management, and meets customer needs. It helps gas utilities use consumption data to manage bills, and end customers can monitor their gas consumption to offset higher gas bills. Gas utilities using this real-time data collection-based platform can take some necessary actions, such as closing the customer's gas valve in case of unpaid bills and customer relocation. By developing an on-site IoT platform and storing the data on the company's local server, the owner also has complete control over all the data and its security. Therefore, another important measure considered in the development of this platform is the application of high-level security procedures in the exchange of information.

An on-premises IoT platform for gas smart meter's management based on DLMS protocol

RAFIEITARI, SHAHRZAD
2021/2022

Abstract

The thesis is considering the problem of connecting smart meters (for water, gas, electricity, but with special emphasis on gas) to a central system in a private or public data center, where the data are used for various purposes, including diagnostics, billing, etc. Smart meters need a globally accepted standard that ensures security, interoperability, and efficiency. DLMS/COSEM is the most widespread standard for this, and it is described in detail in this thesis. An on-premises IoT platform for smart gas metering management based on DLMS/COSEM has been developed. It demonstrates data exchange between a smart gas meter and a data acquisition system to manage and control the end customer's gas consumption. Smart meters are installed at the end customer's premises and send data to the IoT platform to which gas suppliers have access. This IoT platform reports data received from the meters such as consumption, real-time alarms (e.g., failed clock synchronization, software errors, flow errors, valve errors, tampering, memory errors), valve status, and battery charge level. These collected data are COSEM objects stored in the local database. The IoT platform developed in this project is user-friendly, extensible, has flexible user access management, and meets customer needs. It helps gas utilities use consumption data to manage bills, and end customers can monitor their gas consumption to offset higher gas bills. Gas utilities using this real-time data collection-based platform can take some necessary actions, such as closing the customer's gas valve in case of unpaid bills and customer relocation. By developing an on-site IoT platform and storing the data on the company's local server, the owner also has complete control over all the data and its security. Therefore, another important measure considered in the development of this platform is the application of high-level security procedures in the exchange of information.
2021
An on-premises IoT platform for gas smart meter's management based on DLMS protocol
The thesis is considering the problem of connecting smart meters (for water, gas, electricity, but with special emphasis on gas) to a central system in a private or public data center, where the data are used for various purposes, including diagnostics, billing, etc. Smart meters need a globally accepted standard that ensures security, interoperability, and efficiency. DLMS/COSEM is the most widespread standard for this, and it is described in detail in this thesis. An on-premises IoT platform for smart gas metering management based on DLMS/COSEM has been developed. It demonstrates data exchange between a smart gas meter and a data acquisition system to manage and control the end customer's gas consumption. Smart meters are installed at the end customer's premises and send data to the IoT platform to which gas suppliers have access. This IoT platform reports data received from the meters such as consumption, real-time alarms (e.g., failed clock synchronization, software errors, flow errors, valve errors, tampering, memory errors), valve status, and battery charge level. These collected data are COSEM objects stored in the local database. The IoT platform developed in this project is user-friendly, extensible, has flexible user access management, and meets customer needs. It helps gas utilities use consumption data to manage bills, and end customers can monitor their gas consumption to offset higher gas bills. Gas utilities using this real-time data collection-based platform can take some necessary actions, such as closing the customer's gas valve in case of unpaid bills and customer relocation. By developing an on-site IoT platform and storing the data on the company's local server, the owner also has complete control over all the data and its security. Therefore, another important measure considered in the development of this platform is the application of high-level security procedures in the exchange of information.
IoT platform
On-premises software
Smart meter
DLMS/COSEM protocol
Cloud
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/30733