This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Beijing University of Civil Engineering and Architecture. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Innovations of Mingkui Zhang in Rock Burst Prediction
Introduction
Mingkui Zhang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of rock burst prediction through his innovative methods and devices. His work focuses on utilizing big data visualization analysis to enhance the accuracy of predictions in geological settings.
Latest Patents
Mingkui Zhang holds a patent for a "K-nearest neighbour rock burst prediction method and device based on big data visualization analysis." This patent outlines a method that includes obtaining spectrum characteristics and amplitude/energy characteristics of rocks based on rock data. The method employs a K-nearest neighbour algorithm to accurately predict rock bursts, thereby helping to prevent significant economic losses and casualties.
Career Highlights
Mingkui Zhang is affiliated with the Beijing University of Civil Engineering and Architecture. His role at the university allows him to engage in research and development in the field of civil engineering, particularly focusing on rock mechanics and prediction technologies.
Collaborations
Mingkui Zhang has collaborated with notable colleagues such as Yu Zhang and Dongqiao Liu. Their combined expertise contributes to advancing research in rock burst prediction and related fields.
Conclusion
Mingkui Zhang's innovative approach to rock burst prediction exemplifies the importance of integrating big data analysis in geological studies. His contributions are vital for enhancing safety and efficiency in civil engineering projects.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile