High-speed service area on-site electricity management method and device and electronic equipment

By employing statistical algorithms and data repair methods to identify and repair abnormal data in the temporary power management at construction sites, the problem of data distortion was solved, ensuring the accuracy and continuity of data and improving construction safety and efficiency.

CN122174084APending Publication Date: 2026-06-09葛洲坝(武汉)新能源科技发展有限公司 +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
葛洲坝(武汉)新能源科技发展有限公司
Filing Date
2026-01-19
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In the management of temporary power supply at construction sites, data is easily affected by pulse interference and equipment failure, leading to data distortion or loss, affecting the reliability and accuracy of the data, and failing to effectively support construction safety and efficiency.

Method used

Statistical algorithms are used to identify abnormal voltage and current data, mean-filling algorithms are used to repair abnormal voltage and current data, before-and-after data comparison is used to identify abnormal cumulative data, linear interpolation algorithms are used to repair multiple consecutive abnormal cumulative data, and the results are displayed and monitored by three-dimensional visualization.

Benefits of technology

It enables accurate identification and differentiation of data from different sources, ensuring the statistical characteristics and curve smoothness of measured data, providing a reliable data foundation, and laying the foundation for improving construction safety and efficiency.

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Abstract

This invention discloses a method, device, and electronic equipment for on-site temporary power management in highway service areas, relating to the field of construction equipment management. The method includes: acquiring data to be processed, identifying and repairing the data to be processed, and obtaining repaired data to be processed; including: using statistical algorithms to identify abnormal voltage data in voltage data and abnormal current data in current data, and using a mean-filling algorithm to repair the abnormal voltage and current data; using a before-and-after data comparison method to identify abnormal cumulative electricity consumption data, using a before-and-after value filling algorithm to repair a single abnormal cumulative electricity consumption data, and using a linear interpolation algorithm to repair multiple consecutive abnormal cumulative electricity consumption data; and performing alarm monitoring and / or three-dimensional visualization based on the repaired data to be processed. This invention can perform differentiated processing on data generated from different root causes, ensuring high-quality and high-reliability data.
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