Yu Cong

Title: Yu Cong and Collaborative Project Disaster Warning

Introduction

Yu Cong is an inventor based in Qingdao, China, and is associated with Qingdao University of Technology. His patent work addresses project disaster warning through the collaborative analysis of monitoring data from multiple physical fields.

Latest Patents

Yu Cong is credited with 1 patent: “Project Disaster Warning Method and System Based on Collaborative Fusion of Multi-Physics Monitoring Data.” The invention describes collecting and preprocessing real-time data from multiple sensors monitoring potentially dangerous parts of a project structure. It normalizes time-series data from different physical fields into a sample matrix and uses multivariate statistical methods to assess how monitoring indicators relate to structural safety.

The method uses those sensitivity assessments to guide the initial training of a long short-term memory (LSTM) network. It then treats the network’s outputs as evidence inputs and applies an improved Dempster–Shafer evidence theory based on Chebyshev distance to combine warning-level probabilities. A decision method based on the resulting basic probability assignments determines the danger level of potentially hazardous structural areas.

Career Highlights

The available information identifies Yu Cong’s work with Qingdao University of Technology and highlights his contribution to a data-fusion approach for structural disaster warning. The patent combines sensor monitoring, statistical analysis, machine learning, and evidence-based decision-making.

Collaborations

Yu Cong’s listed coworkers include Liming Zhang and Zhongyuan Liu. Their names are associated with the provided information about his professional and patent context.

Conclusion

Yu Cong’s patent presents a multi-stage approach to assessing structural hazards by combining monitoring data, LSTM analysis, and evidence fusion to support project disaster warnings.