Road roller construction track identification method based on space-time tensor characteristics

Abstract

The invention discloses a road roller construction track identification method based on space-time tensor features, and relates to the technical field of computer visual identification and communication, and the method comprises the steps: obtaining image data of a road roller construction process, transmitting the image data to each edge node after preprocessing, extracting the space-time tensor features of the image data, after carrying out feature splicing, forming a training data set, creating a CNN model, optimizing the CNN model by a self-attention mechanism, sending the training data set to the optimized CNN model for training to acquire the trained CNN model; and deploying the trained CNN model to each edge node, identifying image data in the construction process of the road roller, and after identification is completed, fusing identification results of each edge node and outputting the fused identification results. A data processing mode of combining edge computing and cloud fusion decision is adopted, so that the network communication cost caused by large-scale data return can be effectively avoided, and the configuration of computing resources is optimized.

Description

technical field [0001] The invention relates to the field of computer vision recognition and communication technology, in particular to a method for recognizing a road roller construction track based on spatiotemporal tensor features. Background technique [0002] Substation earthwork backfill is related to the quality of substation engineering construction and the safety and reliability within the application period. The working condition of substation fill rollers is the key to the substation fill area meeting the quality inspection requirements. Accurate identification of its construction trajectory is important for testing and evaluating the quality of substation earthwork backfill. value. [0003] Traditional substation filling construction quality monitoring mostly adopts the method of on-site survey, which requires construction personnel to go deep into the construction site and supervise the construction trajectory of the roller in the filling area on the spot. The m...

AI Technical Summary

Problems solved by technology

The centralized data processing mode has high construction and maintenance costs for cloud computing resources, data transmission, communication, and storage links, and the algorithm efficiency is relatively low, which is difficult to meet the actual needs of engineering applications

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