Rongjun Si

Title: Rongjun Si and Coal Mine Multi-Disaster Early Warning

Introduction

Rongjun Si is an inventor based in Chongqing, China. His work includes a patent for a method and system that combines multiple disaster indicators to support early warning and safety analysis in coal mines.

Latest Patents

The provided information lists 1 patent for Rongjun Si: “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 to assess disaster indicators.

When the system detects an anomaly in an indicator for a single disaster, it evaluates related indicators using depth-first traversal and natural-fission rules to support targeted forecasting. By using correlation analysis to establish predictive links among early-warning indicators, the method enables multidimensional analysis and earlier trend prediction.

Career Highlights

Si is associated with CCTEG Chongqing Research Institute. His listed patent focuses on applying predictive modeling and linked disaster indicators to coal mine safety.

Collaborations

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

Conclusion

Rongjun Si’s listed invention combines neural-network trend prediction, anomaly detection, and relationships among disaster indicators to support multi-disaster early warning in coal mines.