一种港机设备预测性维护决策方法和系统
By generating abnormal watermark identifiers and performing morphological determination, the problem of insufficient abnormal correlation analysis in predictive maintenance of port machinery equipment is solved, enabling more accurate maintenance decisions and improved efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENHUA TIANJIN COAL TERMINAL
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing predictive maintenance schemes for port machinery equipment lack analysis of abnormal correlations between several pieces of port machinery equipment in the work area, making it difficult to distinguish external causes, resulting in incorrect maintenance and increased maintenance costs.
By generating abnormal watermarks and placing them on the port machinery operation plane, the morphology of the abnormal watermark image is determined, distinguishing between two types of abnormalities: externally induced and single-machine degradation, and generating corresponding maintenance instructions to avoid repeatedly assigning single-machine component maintenance tasks.
This improved the accuracy of maintenance decisions, reduced erroneous maintenance, increased operational efficiency, and avoided the repeated assignment of single-machine component maintenance tasks to several port machinery units.
Smart Images
Figure CN122415076A_ABST
Abstract
Citation Information
Patent Citations
Port equipment fault early warning method based on multi-source heterogeneous data and related equipment
CN122046032A