Earthquake special patrol tower intelligent analysis method based on multi-source data fusion and related equipment

By employing an intelligent analysis method that integrates multi-source data, earthquake information and tower data are automatically acquired, tower-earthquake distance is calculated, risk levels are dynamically assessed, and reports are generated. This solves the problems of delayed earthquake information and assessment errors, enabling efficient and accurate emergency response.

CN122362492APending Publication Date: 2026-07-10QUJING BUREAU OF SUPERVOLTAGE POWER TRANSMISSION CHINA SOUTHERN POWER GRID
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Patent Information

Application Number
CN202610305956.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-13
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Current technologies rely on manual queries for earthquake information acquisition, which leads to information delays, high error rates in calculations and assessments, and an inability to meet the timeliness and accuracy requirements of emergency response.

Method used

Through intelligent analysis methods that integrate multi-source data, the system automatically acquires earthquake information and tower data, calculates the tower-earthquake distance using the spherical distance formula, dynamically assesses the risk level, generates structured reports, and supports real-time notifications through multiple channels.

Benefits of technology

It has achieved second-level automatic analysis of earthquake risk assessment, greatly improving accuracy and real-time performance, shortening emergency response time, and reducing error rate and notification delay.

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Abstract

The application provides a seismic special patrol tower intelligent analysis method based on multi-source data fusion and related equipment, and belongs to the technical field of seismic influence analysis of power towers. The application comprises: obtaining seismic information containing epicenter position and magnitude from a remote seismic data source online, and obtaining power transmission tower foundation data containing geographic coordinates; standardizing and converting the geographic coordinates in the power transmission tower foundation data to obtain tower coordinates, and calculating the seismic distances of each tower based on the epicenter position and the tower coordinates; according to the magnitude and the seismic distances of each tower, calling preset risk level classification rules, dynamically evaluating and outputting the seismic risk level of each power transmission tower to obtain a risk judgment result; generating a structured special patrol analysis report containing a risk distribution statistical summary, and saving the report file. The application can improve the accuracy and scientificity of risk evaluation, provide a complete data basis for seismic special patrol analysis, and solve the problems of scattered data sources and different formats in emergency response.
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