Major Awards

  • CET-6 (Score: 512)
  • National Computer Rank Examination Level 2 (Office)
  • National Encouragement Scholarship
  • Postgraduate Academic Scholarship
  • National Social Sports Instructor (Skiing)
  • National Social Sports Instructor (Swimming)
  • National Swimming Lifeguard Qualification Certificate

Major Competitions

  • Second Prize in Anhui Province Robot Competition
  • Third Prize in Anhui Province “Double Hundred” Competition
  • Bronze Award in Anhui Province “Challenge Cup” Entrepreneurship Plan Competition
  • Bronze Award in Anhui Province “Internet+” Innovation and Entrepreneurship Competition
  • Second Prize in Anhui Province College Dragon Boat Open Competition

Project Topics

  • Steel Plate Surface Defect Detection System Design
    • Project Objective: High-speed identification of surface defects on 304 stainless steel plates, detecting defects of approximately 0.1mm on a 2×7m steel plate.
    • Personal Responsibilities: Responsible for building the deep learning model, overall design of the recognition system, model training and debugging, and GUI design of the software.
    • Specific Technologies: Data augmentation for the steel plate surface defect dataset using Textual Inversion + LoRA fine-tuning of the Stable Diffusion model. The generated image dataset was used to train the YOLOv11 object detection model.
    • Current Progress: The object detection model training is completed, the software GUI design is finished, and experiments are being refined with an article being written.
  • Structural Design of Steel Pipe Diameter Measurement System
    • Project Objective: Detection of geometric parameters on the surface of processed steel pipes, including ovality, central angle, wall thickness, etc.
    • Personal Responsibilities: Mechanical structure design of the steel pipe detection system and detection scheme design (iterating from traditional slide rail mechanisms and telescopic mechanisms to a solution based on industrial robots).
    • Specific Technologies: Transitioned from traditional mechanical structures to detection based on industrial robots, ensuring reasonable utilization in the actual workshop production line and achieving specific functionalities.
    • Current Progress: The robot-based detection system has been deployed in the workshop and is undergoing testing. Additional features are being added based on the supervisor’s requirements.