Abstract

Background: Concrete pavers are self-propelled units used in concrete pavement construction that have of paving, vibrating, and leveling functions. The existing concrete pavers have a large size, making it difficult for them to enter underground roadways, and it is difficult to adjust the paving equipment in real time when the width of the underground roadway is deformed. Objective: To realize intelligent concrete paving in coal mine roadways, based on the analysis of recent concrete paver patents, this paper proposes an intelligent virtual paving system based on 3D infrared scanning imaging. Method: The intelligent virtual paving system, which uses multiple groups of 3D infrared scanners and signal processing systems, can collect and analyze 3D images in the roadway and perform virtual paving in the computer. This system can obtain the required parameters of roadway paving, such as the feeding amount, driving speed, limiter height, and width of the synovium, as well as give the initial paving parameters. Results: In the actual paving process, through virtual paving parameters, the feeding amount and accelerator can be regulated in real time, and the difference between the actual paving and virtual paving can be judged to change the paving width in real time. Conclusion: Intelligent virtual paver systems have a guiding significance for the improvement of existing paver systems.

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