多传感器协同监测的工业设备状态预警系统及方法
By identifying abnormal node groups and performing controlled disturbance operations, and combining the changes in abnormal morphology before and after the disturbance to determine the attribution of the abnormality, the problem of unclear early warning content in scenarios where multiple devices are arranged in close proximity is solved, and the true attribution of synchronous abnormalities of multiple nodes is distinguished and the credibility of early warning content is improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- LONGYAN UNIV
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-17
AI Technical Summary
In industrial scenarios where multiple devices are arranged in close proximity and use wireless networking for collaborative monitoring, existing technologies cannot reliably identify the source of anomalies, resulting in unclear warning content and insufficient credibility.
By identifying abnormal node groups within the same abnormal time period, controlled disturbance operations are performed. The abnormality attribution is determined by combining the changes in abnormal morphology before and after the disturbance, a disturbance forwarding binding relationship is formed, monitoring data is reacquired and compared, and it is determined whether the abnormality has migrated, reorganized, or disappeared.
It enables the true attribution of multi-node synchronization anomalies, improves the problem of repeated changes in the warning objects and scope, and enhances the completeness and credibility of the warning content.
Smart Images
Figure CN122067386B_ABST