Wenji Han

Title: Wenji Han and Coal Mine Multi-Disaster Early Warning

Introduction

Wenji Han is an inventor based in Chongqing, China, whose work addresses safety analysis and early warning in coal mines. His invention combines multiple disaster indicators to help identify developing risks and support more targeted forecasting.

Latest Patents

Han is associated with 1 patent: “Multi-disaster fusion natural fission early warning method and system in coal mine.” The invention builds a model and relationship network among early-warning entities, then updates that network according to specified rules. It uses an LSTM artificial neural network to predict trends in monitored objects and applies natural-fission analysis rules.

The system identifies anomalies in individual disaster events through index prediction and early warning. When an index anomaly is detected, it evaluates other disaster indicators using depth-first traversal and natural-fission rules to guide further forecasting. By analyzing correlations among early-warning indexes, the method creates predictive relationship chains intended to support multidimensional analysis and earlier trend prediction.

Career Highlights

Han’s listed patent work focuses on applying predictive modeling and interconnected disaster indicators to coal mine safety. He is associated with CCTEG Chongqing Research Institute.

Collaborations

The provided information lists Haitao Sun and Zhigang Zhang as Han’s coworkers. Their specific roles in the patent or related research are not specified.

Conclusion

Wenji Han’s documented invention brings together trend prediction, anomaly detection, and relationships among disaster indicators to support multi-disaster early warning in coal mines.