Outline

Ingegneria Sismica

Ingegneria Sismica

Research on Embedded Recognition Technology for Pointer-Type Power Meter Images Based on Artificial Intelligence

Author(s): Shu Yang1, Ziqiang Zhou1, Dazhe Yang1, Huanyu Wang1
1State Grid Shanxi Electric Power Company Electric Power Research Institue, Taiyuan 030001, Shanxi, China
Yang, Shu. et al “Research on Embedded Recognition Technology for Pointer-Type Power Meter Images Based on Artificial Intelligence.” Ingegneria Sismica Volume 43 Issue 1: 1-12, doi:10.65102/is2026347.

Abstract

The pointer type instrument is simple in design and intuitive in reading, which is suitable for many occasions. Without affecting the original structure of the instrument, the automatic pointer reading based on image processing provides a good solution for the automatic upgrading of the instrument. However, due to the installation angle and height, it is more difficult to patrol, resulting in low efficiency and heavy workload. Therefore, by analyzing the status quo, recognition system and recognition content of the pointer type power instrument, this paper has constructed the image recognition system of the pointer type power instrument using the embedded system, which lays the foundation for improving the accuracy of the power instrument. The image separation effect and reading recognition effect of the embedded image recognition power meter were better than the original power meter. The image separation under embedded image recognition was 5.37% higher than the original, and the reading recognition effect was 7.27% higher than the original. In a word, image processing technology can effectively improve the accuracy of power meters.

Keywords
Pointer Type Power Meter, Image Embedded Recognition, Image Processing, Recognition Technology

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