Salt rock volume expansion point identification method and electronic device

By combining acoustic emission data and multi-level window analysis with machine learning models, the problem of real-time and accurate monitoring of salt rock expansion points was solved, enabling precise identification of salt rock expansion points, adapting to the real-time monitoring needs of underground storage facilities, and improving the stability and security of the storage facilities.

CN121784151BActive Publication Date: 2026-06-19SHIJIAZHUANG TIEDAO UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHIJIAZHUANG TIEDAO UNIV
Filing Date
2026-03-06
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies cannot achieve real-time and accurate monitoring of salt rock expansion points, especially since it is difficult to directly collect stress and strain data at underground storage sites. Furthermore, traditional methods cannot describe the complex characteristics of salt rock under multi-scale and nonlinear loads, leading to identification delays, misjudgments, or omissions.

Method used

Acoustic emission data was used as the data source. Through sliding sampling and multi-level window analysis, combined with machine learning models, coarse and fine searches were performed to identify salt rock expansion points.

Benefits of technology

It enables real-time and accurate monitoring of salt rock expansion points, improves the accuracy and stability of identification results, adapts to the real-time monitoring needs of engineering sites, and ensures the stability and safety of the storage facility.

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Abstract

This invention provides a method and electronic device for identifying salt rock expansion points, relating to the field of geological engineering monitoring technology. The method includes: sliding sampling of acoustic emission data within an initial search interval using a first preset window length to obtain multiple initial window data segments; determining the initial expansion point location based on the multiple initial window data segments; determining a target search interval based on the initial expansion point location; wherein the target search interval is smaller than the initial search interval; sliding sampling of acoustic emission data within the target search interval using a second preset window length to obtain multiple target window data segments; wherein the second preset window length is smaller than the first preset window length; and determining the target expansion point location based on the multiple target window data segments. This invention uses acoustic emission data as the data source, which can be used for real-time monitoring; simultaneously, it employs a two-stage identification method of coarse search and fine search, enabling accurate identification of expansion points.
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