Research on Monitoring and Auxiliary Audit Strategy of Transmission Line Construction Progress Based on Satellite Remote Sensing and Deep Learning

摘要

The monitoring and auditing of the construction progress of the transmission line is of great significance to the construction management and smooth acceptance of the project. Its key focus includes the number of completed transmission towers and the estimation of related consumables. Therefore, focusing on transmission tower detection and wire consumables estimation, this paper preliminarily explores and establishes the technical framework of transmission line construction progress monitoring and auxiliary audit based on satellite remote sensing and deep learning. This paper proposes an improved DRBox (Detector with Rotatable Boxes) model and satellite remote sensing wire consumables estimation model based on high-resolution optical satellite remote sensing image, which are applied in a transmission line section of Mengdong Company. Experiments show that the automatic detection accuracy of transmission towers in this paper is higher than 93.52%, and the average estimation accuracy of wire consumables is about 97.3%. At the same time, it can quickly count the number of transmission line towers built at different times, which improves the monitoring of transmission line construction progress and enhances the efficiency, objectivity and intelligence level of wire consumables audit.