On the 11th, in the men's steel frame snowmobile event of the Beijing Winter Olympics, Chinese athletes created a double record, Yan Wengang won the first steel frame snowmobile winter Olympic medal in the history of the mainland, and Yin Zhengze created a "world first", that is, "track departure record".
The Winter Games Center of the General Administration of Sport sent a congratulatory letter, which mentioned: Yan Wengang is not afraid of strong hands, dares to fight, in the case of the world's masters playing well, with a score of 4 minutes 1.77 for the delegation to fight a valuable bronze medal, this is the first steel frame snowmobile winter Olympic medal in the history of the mainland; Yin Zheng ranked 5th with a time of 4 minutes 2 seconds 13, and created a track departure record with a time of 4.58 seconds, sliding out of the world speed on the Chinese track!
The congratulatory letter wrote: I hope that the national steel frame snow team will continue to work hard, continue to do a good job in the programmed participation of the steel frame snowmobile women's project, and constantly break through themselves. It is hoped that the national teams of the delegation will be unswerving, work hard, show the exquisite skills and uplifting spirit of Chinese ice and snow athletes with good play on the field, strive to complete the set participation goals of the Beijing Winter Olympics, strive for greater glory for the party and the people, and make greater contributions to the realization of the dream of a sports power!
This "world first" created by China
Beijing Institute of Technology has made a contribution
Yin Zheng set a track starting record, and behind this "world first" is the technical support of Beijing Institute of Technology.
According to the official micro of Beijing Institute of Technology, in the process of preparing for the Beijing Winter Olympics, Professor Huo Bo's team of the School of Astronautics of Beijing Institute of Technology focused on the test and analysis of the athletes' athletic performance in the departure section and the curve section according to the technical needs and project characteristics of the national steel frame snow team and the national snow team, and based on three-dimensional motion capture, automatic attitude recognition and ultra-broadband technology, the motion analysis of the bobsleigh of the departure section and the curve section, the attitude kinematics of the athletes in the starting section and the human dynamics analysis were realized Based on video integration and deep learning technology, the monitoring video was applied to analyze the kinematic parameters of the athlete's full slide.
In steel frame bobsleigh and bobsleigh projects, the time spent at the start stage is a key factor affecting the final result. In order to analyze the technical characteristics of athletes in the departure section in detail, the scientific research team of Beijing Polytechnic University set up high-speed cameras on both sides of the steel frame snowmobile departure point track to record the athletes' movements, and reconstructed the athletes' three-dimensional movement model through the system, analyzing the technical characteristics of the athletes in the departure section in detail, and providing intuitive information and data basis for the coaches to guide the key technical actions of the athletes at the starting stage.
A high-speed camera arranged by the Research Team of Beijing Polytechnic University in the departure section of the snowmobile
In the starting stage of the steel frame snowmobile project, athletes are very prone to "pulling and slowing down". To this end, the scientific research team installed sensors on the steel frame snowmobile and the track guardrail to accurately obtain displacement, speed and acceleration information, accurately analyze the athletes' push and pull of the sled, and then feedback on the push and pry training, effectively improving the training effectiveness.
In addition to the departure stage, the trajectory selection of the curve and the time of the in and out of the bend also have a significant impact on the performance of the race during the skiding process of the steel frame snowmobile and the snowmobile. By setting up high-speed cameras at both ends of the curve, the scientific research team of Beijing Polytechnic University effectively captures the inflection and exit of the curve of the athletes in the training and testing competition, and scientifically calculates the kinematic parameters of the bend, helping the athletes and coaches to effectively adjust the trajectory of the bend and find the "optimal trajectory".
In addition, in order to maximize the training efficiency, the full speed and sports performance of steel frame snowmobiles and snowmobile athletes were scientifically evaluated and analyzed, and the research team of Beijing Polytechnic Institute established video splicing, snowmobile recognition and motion analysis systems.
Full technical analysis system for steel frame snowmobiles and snowmobile projects
The system can stitch and integrate the video of the athlete's gliding process along the way, automatically identify the snowmobile movement process in the video, solve the sports parameters, and establish an intuitive interface to help coaches and athletes analyze the sports process "at a glance" and effectively improve the competition performance.
It can be said that The Chinese athletes have created the best record (bronze medal) in the history of the Winter Olympic steel frame snowmobile project, and the Beijing Institute of Technology has also contributed to it.
Column Editor-in-Chief: Zhang Wu Text Editor: Song Yanlin Caption Source: Visual China Image Editor: Yong Kai
Source: Author: CCTV