Environmental Digital Twin Prediction Technology and Its Industrialization of Key Transportation Infrastructure

Introduction

This project has invented a group of technologies for digital modeling, prediction and early warning of key transportation infrastructure environments, authorized 136 invention patents in China, the United States, Europe, Japan, Russia, Australia and Singapore, and won 8 patent gold medals in Geneva, Nuremberg, etc. The products cover more than 50 countries around the world, effectively promoting the digital development of world transportation.

Overcoming Three Prediction Technology Problems and Forming independent intellectual Property Rights

Facing the problem of "incomplete elements", a traffic environment element measurement technology that integrates vision, remote sensing, radar, drones, and other modes has been invented, and a digital element model library for the spatiotemporal environment of key infrastructure has been completed.

Facing the problem of "low accuracy", an intelligent prediction technology of traffic environment elements that couples "atmospheric simulation" and "spatiotemporal compensation" is proposed, breaking through the bottleneck of prediction accuracy at different scales such as ultra-short time, short time, medium time, and long time.

Facing the problem of "collaboration difficulty", a digital twin platform with functions such as environmental visualization, early-warning information release, and historical event review has been developed to realize the interconnection of infrastructure, monitoring systems, and prediction/early warning processes.

This project published 2 of the world's first English monographs in the fields of "Urban Big Data" and "Traffic Robot"; authorized 113 Chinese invention patents and 23 international invention patents from the United States, Europe, Japan, Russia, Australia, Singapore, etc., forming independent intellectual property rights.

Promoted Internationally and Forming a Demonstration Effect Gradually

The original technology has been transformed into 3 core products and applied to more than 50 countries including China, the United States, the United Kingdom, and Singapore. The results have effectively improved key transportation infrastructure's ability to perceive, warn, and prevent harsh environments, which facilitates the construction of climate-resilient infrastructure, extends the service life of infrastructure, and generates significant social and economic benefits.

The project has won 8 international patent gold medals in Geneva, Switzerland (2 times) , Nuremberg, Germany (3 times), and Paris, France, as well as 12 important awards such as the Ministry of Education's Technology Invention Award, the Ministry of Education's Natural Science Award, and the Wu Wenjun Artificial Intelligence Science and Technology Award.

Positively Commented by 34 Academicians and Won Honor from the Royal Academy of Engineering

The project has been cited and publicly praised in authoritative journals like Nature by 9 international society presidents, 34 academicians from countries including China, the United States, the United Kingdom, and Canada, the PACASE Award winner, and MacArthur Fellow. They consider the project as "...insight on the foremost forecasting techniques, and"...integrating different models to overcome the relevant problems of the different, individual perspectives, giving better performance in terms of flexibility, computing efficiency robustness".

The project leader is selected for the Distinguished International Associates of the Royal Academy of Engineering (no more than 12 winners in all fields around the world each year). The published English monograph was selected for the third Springer·Nature "China New Development Award". Springer's public award speech believed that "This book expands the existing technology system of smart cities, and original solutions are widely used, making outstanding contributions to the construction of urban smart brains and the promotion of sustainable development.".