Lang Li

Title: Lang Li and Coal Mine Disaster Early Warning Innovation.

Introduction

Lang Li is an inventor based in Chongqing, China, associated with CCTEG Chongqing Research Institute. His work includes a patented approach to improving the analysis and early warning of multiple hazards in coal mines.

Latest Patents

Li is credited with 1 patent: “Multi-disaster fusion natural fission early warning method and system in coal mine.” The invention builds a model and relationship network connecting multiple disaster-warning entities, then updates that network according to defined rules. It uses an LSTM artificial neural network to predict trends in monitored objects and applies natural-fission analysis rules to assess potential hazard development.

The system identifies anomalies in individual disaster events through index prediction and early warning. When an early-warning index shows an anomaly, a depth-first traversal algorithm and natural-fission rules help assess related disaster indexes and guide targeted forecasting. By using correlation analysis to establish predictive links among warning indexes, the method supports multidimensional analysis and earlier trend prediction.

Career Highlights

Li’s listed patent focuses on coal mine safety and the integration of multiple disaster indicators into a connected forecasting process. This approach is intended to help identify developing risks and provide more targeted warnings.

Collaborations

Li’s listed coworkers include Haitao Sun and Zhigang Zhang.

Conclusion

Lang Li’s patent presents a network-based method for combining disaster indicators and forecasting potential hazards, contributing an innovation focused on coal mine safety.