This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Nanjing Institute of Geography. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Boqiang Qin - Innovator in Algae Bloom Monitoring
Introduction
Boqiang Qin is a notable inventor based in Nanjing, China. He has made significant contributions to the field of environmental monitoring, particularly in the area of harmful lake cyanobacteria blooms. His innovative approach combines various monitoring techniques to address a pressing ecological issue.
Latest Patents
Boqiang Qin holds a patent for a "Stereoscopic monitoring and data mining system and method for harmful lake cyanobacteria bloom." This invention relates to a comprehensive monitoring and data mining system designed to track algae blooms in lakes. The method involves acquiring monitoring indicator data through remote sensing, automatic monitoring, and manual surveying. The collected data is transmitted to a data center via the Internet, where it undergoes data backup and preprocessing. This includes temporal and spatial interpolation, as well as outlier determination and processing. The preprocessed data is then stored in a database, which is used to compute a 3D numerical model of the lake. This model assesses the risk of algae blooms and displays predictive warning information on a public platform.
Career Highlights
Boqiang Qin is affiliated with the Nanjing Institute of Geography, where he applies his expertise in environmental science and technology. His work focuses on developing innovative solutions to monitor and manage ecological challenges.
Collaborations
He collaborates with colleagues such as Wei Li and Yunlin Zhang, contributing to a team effort aimed at advancing research in environmental monitoring and data analysis.
Conclusion
Boqiang Qin's contributions to the field of algae bloom monitoring exemplify the importance of innovation in addressing environmental issues. His patented system represents a significant advancement in the ability to predict and manage harmful algal blooms, ultimately benefiting ecological health and public safety.