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Pass/Fail Quality Assessment in Last Mile Smart Metering Networks Based on PRIME Interface.

Piotr Kiedrowski¹, Beata Marciniak¹

¹Faculty of Telecommunications Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, Al. Prof. S. Kaliskiego 7, 85-796 Bydgoszcz, Poland.

Sensors (Basel, Switzerland)

|November 27, 2021

Summary

This study introduces a unified Frame Error Ratio (FER) assessment method for the PRIME interface analyzer. This innovation simplifies quality assessment in smart metering networks, enabling pass/fail results for easier interpretation by staff.

Keywords:

PRIME industrial IoT smart metering wired sensor networks

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Area of Science:

Electrical Engineering
Computer Networking
Telecommunications

Background:

The PRIME interface is a standardized communication technology for smart metering wired networks.
Assessing and presenting Frame Error Ratio (FER) in a pass/fail format posed a challenge for the PRIME analyzer project.
Existing FER assessment methods lacked unification due to diverse modulation types and forward error correction in the PRIME interface.

Purpose of the Study:

To develop and implement a unified FER assessment method within the PRIME analyzer.
To enable a standardized pass/fail presentation of quality assessment results for smart metering networks.
To address the complexities introduced by multiple modulation types and forward error correction in the PRIME interface.

Main Methods:

Developed a unified FER assessment algorithm utilizing FER vs. signal-to-noise ratio characteristics for all implemented modulations.
Integrated the unified FER assessment as a core functionality within the PRIME interface analyzer.
Established a unified threshold value for FER to facilitate pass/fail result presentation.

Main Results:

Successfully implemented a unified FER assessment method in the PRIME analyzer.
The unified FER assessment allows for consistent quality evaluation across different PRIME interface configurations.
Measurement results can now be presented in a clear pass/fail format.

Conclusions:

The proposed unified FER assessment method simplifies quality assessment in smart metering networks.
The pass/fail presentation of results is crucial for enabling unskilled staff to perform measurements in last-mile smart metering.
This work enhances the usability and effectiveness of the PRIME interface analyzer for quality control.