Adjustment method for embedded metrology engine in an EM773 series microcontroller

Area of Science:

• Electrical Engineering
• Metrology
• Embedded Systems

Background:

• Smart metering relies on accurate energy utilization data collection.
• Metrology engines in microcontrollers require precise calibration for optimal performance.
• Existing calibration methods present implementation and verification challenges.

Purpose of the Study:

• To develop and verify a method for optimizing metrology engine calibration parameters.
• To enhance the accuracy of energy data collection in smart metering applications.
• To address implementation and adjustment problems in NXP's EM773 microcontroller metrology engines.

Main Methods:

• Investigated problems in the development and implementation of metrology engine calibration.
• Focused on partial automation for parameter verification.
• Emphasized the verification of an operator-driven method for parameter optimization.

Main Results:

• Identified key challenges in metrology engine calibration and implementation.
• Developed a method for finding and verifying optimal calibration parameters.
• Demonstrated the potential for improved accuracy in smart metering devices.

Conclusions:

• Optimized calibration of metrology engines is crucial for accurate smart metering.
• The developed method offers a pathway to enhance measurement accuracy.
• Successful calibration enables reliable data for smart and intelligent environments.