Abstract
The reliability of electric power metering verification data is related to the accuracy and fairness of electric power trade settlement. Most of the existing verification equipment uses traditional pointer-type electrical verification instruments. The verification process requires the manual recording of data and the issuance of verification reports. There are problems such as low data collection efficiency, high error rate, and human tampering, which lead to great uncertainty in the detection results. This paper presents a data acquisition technology of pointer-type electrical verification instruments based on Retinex-Net image recognition for power metering verification data acquisition of intelligent laboratory, which realizes automatic data acquisition of power metering verification, ensures the accuracy and reliability of verification results, and effectively supports the digital transformation and development of power metering verification field.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.