地下管廊风险演化管理方法、装置、设备及存储介质
By constructing a time-staggered multimodal data sequence network and a perception structure coupling map, the identification and trend prediction of the risk causal propagation chain library of underground utility tunnels are carried out, which solves the problem of low risk control efficiency in existing technologies and realizes intelligent management and safety improvement of underground utility tunnel risks.
CN121707154BActive Publication Date: 2026-07-17CHINA COAL RES INST +2
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA COAL RES INST
- Filing Date
- 2026-02-13
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies cannot comprehensively and timely obtain multi-dimensional risk data of underground utility tunnels, resulting in low risk control efficiency and poor management security.
Method used
Construct a time-staggered multimodal data sequence network, utilize spatial homology constraints for spatial remapping, build a perception structure coupling map, identify spatiotemporal correlation paths, construct a risk causal propagation chain library, identify risk locations, and perform retrieval matching and trend prediction.
Benefits of technology
It enables intelligent identification and prediction of the evolution trend of risks in underground utility tunnels, improving the efficiency of risk control and management safety, and timely detection of potential risks.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121707154B_ABST
Abstract
本公开提供一种地下管廊风险演化管理方法、装置、设备及存储介质。在本公开的一些实施例中，根据采集到的目标地下管廊布设传感器网络的监测数据和数据采集时间戳，构建错时多模态数据序列网络；利用空间同源约束对错时多模态数据序列网络进行空间重映射，构建感知结构耦合图谱；基于感知结构耦合图谱进行时空关联路径识别，构建风险因果传播链条库；遍历感知结构耦合图谱进行风险点位识别，得到风险点位集合和风险特征向量集合；根据风险点位集合和风险特征向量集合对风险因果传播链条库进行检索匹配，得到匹配风险因果传播链条集合；根据匹配风险因果传播链条集合和感知结构耦合图谱进行风险演化趋势预测，并根据预测结果执行预警操作。
Need to check novelty before this filing date? Find Prior Art