A closed coal yard coal spontaneous combustion monitoring method based on multi-source data fusion
By constructing a monitoring method that integrates multi-source data, the problems of full coverage and lag in monitoring spontaneous combustion in closed coal yards have been solved, enabling accurate identification and dynamic early warning of early spontaneous combustion characteristic parameters, thereby reducing accident risks and hardware costs.
CN122408865APending Publication Date: 2026-07-17EAST (BEIJING) ENERGY TECH CO LTD
View PDF 0 Cites 0 Cited by
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- EAST (BEIJING) ENERGY TECH CO LTD
- Filing Date
- 2026-04-02
- Publication Date
- 2026-07-17
Smart Images
Figure CN122408865A_ABST
Abstract
本申请公开了一种基于多源数据融合的封闭煤场储煤自燃监测方法，属于煤矿安全管理技术领域，耦合机理先验模型与储煤堆三维数字孪生网格基底构建；多源异构监测数据采集与时空精准配准；机理约束下的三维多物理场全域动态反演；早期特征提取与自适应动态分级预警；本申请通过红外表面全域数据、有限内部测点数据、特征气体数据的时空精准配准，实现了三类异构监测数据的优势互补；通过构建束管气体传输滞后校正模型，解决了束管监测的时间滞后性问题；以煤自燃耦合机理先验模型为硬约束，通过多源数据约束的三维多物理场反演，仅需有限的埋入式测点，即可实现煤堆从表面到内部全空间的温度场、氧气浓度场、氧化放热强度场精准重构。
Need to check novelty before this filing date? Find Prior Art