Geological disaster monitoring method based on synthetic aperture radar and point sensor

Abstract

The invention belongs to the technical field of pipeline geological disaster monitoring, and particularly relates to a geological disaster monitoring method based on a synthetic aperture radar and a point sensor. The monitoring method includes the following steps: arranging a synthetic aperture radar and a dotted sensor in a disaster-prone area; collecting the historical data and establishing an original database; preprocessing the original data to obtain a synthetic aperture radar image data set; performing offline training on a pre-designed network, and storing a trained network model; and collecting real-time data, preprocessing the real-time data, and carrying out online monitoring on geological disasters by using the trained network model. The method has the advantages that features are extracted from the image angle, the sensitivity to data quality is low, and oil and gas pipeline geological disasters can be accurately early warned.

Description

technical field [0001] The invention belongs to the technical field of pipeline geological disaster monitoring, and in particular relates to a geological disaster monitoring method based on synthetic aperture radar and point sensors. Background technique [0002] At present, the geological structure of the oil and gas pipeline area in most areas is complex, the soil is highly erodible, the water and soil loss is serious, the terrain changes caused by short-term heavy rainfall in summer are drastic, and the types of geological disasters are diverse. Oil and gas pipelines inevitably face the threat of disaster-causing factors such as cross-river floods, landslides, and loess subsidence, which pose huge risks to pipeline operations. Moreover, due to the long distance and large span of oil and gas pipelines, the risk of geological disasters in oil and gas pipelines is very high. With great uncertainty and unpredictability, it is difficult to prevent and control in advance with e...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to overcome the problem that the existing oil and gas pipeline geological disaster monitoring method lacks the combination of multi-source data, the accuracy is poor, and cannot meet the early warning requirements for oil and gas pipeline geological disasters in the prior art, and provides a Extracting features from the image angle, less sensitive to data quality, and a geological hazard monitoring method based on synthetic aperture radar and point sensors that can accurately warn oil and gas pipeline geological hazards

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