In-service highway side slope monitoring and early warning technology based on automatic monitoring

By combining dynamic adaptive monitoring and sensing, edge intelligent computing, and cloud-based big data analysis with hierarchical linkage early warning and response, the problems of insufficient accuracy, low efficiency, and ineffective emergency response in the existing highway slope monitoring technology have been solved. This has enabled accurate, rapid, and personalized monitoring and early warning, ensuring the safe operation of highways.

CN122416632APending Publication Date: 2026-07-17GUIZHOU SHUNKANG TESTING CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUIZHOU SHUNKANG TESTING CO LTD
Filing Date
2026-04-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing highway slope monitoring technologies suffer from insufficient monitoring accuracy and specificity, low data processing and analysis efficiency, and poor coordination between early warning linkage and emergency response, making it difficult to meet the precise monitoring needs of slopes under complex geological conditions.

Method used

The system employs a dynamic adaptive monitoring and sensing module to collect multi-source monitoring indicators, combined with an edge intelligent computing processing module for data preprocessing and local early warning, a cloud-based big data analysis and prediction module for deformation and damage mode inversion and stability assessment, and a hierarchical linkage early warning and response module to achieve multi-terminal linkage push and personalized emergency response.

Benefits of technology

It has achieved significant improvements in monitoring accuracy and targeting, greatly enhanced data processing and analysis efficiency, improved the timeliness and accuracy of early warning response, and enhanced the targeting and operability of emergency response, thus ensuring the safe operation of highways.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了基于自动化监测的在役公路边坡监测预警技术,涉及公路边坡监测技术领域,本发明包括四大核心模块:动态自适应监测感知模块实现多源监测指标采集、多通道传输及本地缓存;边缘智能计算处理模块完成监测数据智能预处理、特征提取及本地基础预警;云端大数据分析预测模块基于数据特征开展变形破坏模式动态反演、多模型融合变形预测,实现边坡稳定性动态评估及监测管控动态调整;分级联动预警处置模块实现分级预警、多端联动推送及个性化应急处置建议自动生成。通过构建边缘+云端的双层架构,实现监测精准化、分析智能化、管控动态化、处置个性化,有效提升监测预警效率与精准度,合理配置监测资源,保障公路边坡安全运营。
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