The attitude control of intelligent heavy machinery poses a challenge to the robustness, anti-interference and algorithm of attitude sensing systems. Therefore, this project intends to develop a MEMS attitude sensing system with high impact resistance and high precision and apply it to excavators as a typical application scenario to verify the feasibility of the sensing system. Our team has many years of experience in the field of micro-electro mechanical sensors, integrated sensing systems and sensing algorithms. This is a competitive team composed of young scientists and serial entrepreneurs to ensure the success of our project.
Attitude sensing system for heavy machinery
The attitude control of intelligent heavy machinery poses a challenge to the robustness, anti-interference and algorithm of attitude sensing systems. Therefore, this project intends to develop a MEMS attitude sensing system with high impact resistance and high precision and apply it to excavators as a typical application scenario to verify the feasibility of the sensing system. Our team has many years of experience in the field of micro-electro mechanical sensors, integrated sensing systems and sensing algorithms. This is a competitive team composed of young scientists and serial entrepreneurs to ensure the success of our project.
Team member(s)
Mr Sang Yinan (University of Southern Denmark)
Mr Sun Zhenghao (Xi'an Jiaotong University)
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
2. Merit Award, High-end Equipment Manufacturing Start-up Group, China Innovation and Entrepreneurship Competition (Shaanxi Division) (2021)
3. First Prize, 2018 China Sensor Innovation Industry Competition (Northwest Region) (2018)
4. Best Poster Award, Microsystems & Nanoengineering Summit (2018)