Application of Refined Geophysical Prospecting Method in Exploring Underground Pipelines
In modern urban development and construction,underground pipeline detection faces challenges of balancing depth and accuracy,poor adaptability to complex geological environments,and difficulty in identifying different pipeline materials.To address these issues,this paper proposes strategies such as multi-source integration technology,intelligent algorithms for autonomous adaptation to complex geological environments,and pipeline material identification based on deep learning.Through practical case validation,these strategies effectively enhance the overall efficiency of fine-scale geophysical exploration,providing strong support for accurate detection and management of urban underground pipelines.
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