This inventor holds 1 USPTO granted patent. Top assignee: Ccteg Chongqing Research Institute. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Haisheng Wang and Coal Mine Multi-Disaster Early Warning
Introduction
Haisheng Wang 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 in coal mines.
Latest Patents
Wang is associated with 1 patent: “Multi-disaster fusion natural fission early warning method and system in coal mine.” The invention builds and updates a relationship network among early-warning entities, then uses an LSTM neural network to predict trends in monitored objects. It also applies rules for analyzing natural fission and identifying anomalies in individual disaster events. When an early-warning index shows an anomaly, a depth-first traversal algorithm and natural-fission rules help assess related disaster indicators and guide targeted forecasting. By linking indicators through correlation analysis, the system supports multidimensional analysis and earlier trend prediction.
Career Highlights
Wang is associated with CCTEG Chongqing Research Institute. His patented work addresses coal mine safety through integrated analysis of multiple disaster indicators.
Collaborations
Haitao Sun and Zhigang Zhang are identified as Wang’s coworkers. Their inclusion here reflects the provided information and does not establish their roles in developing the patent.
Conclusion
Haisheng Wang’s patent focuses on connecting disaster indicators to improve trend prediction and early warning for coal mine safety.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile