XieGuangdong
- Date of birth：12/1997
Contact number：18157194395
E-mail：1012369447@qq.com
Education: Graduate student
Educational experience
2021/09-present Huzhou University, Computer Technology
Major courses: Digital image processing, advanced algorithm programming and design, computer architecture, engineering matrix theory, data mining, deep learning
2017/09-2021/06 China Jiliang University, Communication Engineering
Major courses: Computer series, Circuit Theory and Application Series, Communication Principles, Signals and Systems, Digital Signal Processing, Digital Systems and Logic design GPA:3.0 (7/45, top 15%)
Competition experience
- Gesture Recognition Device (2018 Electronic Design Competition)
Design a capacitor signal detection device using FDC2214, stm32 based on keil5 development environment detects the amplitude of voltage signal of FDC2214 through different gestures, and uses big data fitting algorithm to record the gestures corresponding to voltage of different amplitudes.
- Paper Identification System (2019 Electronic Design Competition)
Purpose: The device can accurately identify the number of papers
Content: The hardware part adopts the hardware circuit based on stm32 single chip microcomputer, plus the capacitor detection device FDC2214 chip; Using MATLAB to collect data under different papers, Kalman filter is first adopted to remove a maximum and minimum value of the data and then fit it several times to obtain a linear equation, which is then put into the paper and put into the equation, plus an environmental error function (FDC2214 capacitor sensor is extremely sensitive, demanding on light, temperature and humidity). The competition site needs to collect the site environment), and finally the number of papers can be obtained.
- Four-wheel Group (2019 National Intelligent Car Competition for College Students)
Purpose: Intelligent car in the shortest time, and not out of the track and stuck on the shoulder of the premise of the body should not exceed half of the body, through the ring, obstacles, road breaks, ramps, identification of zebra crossing.
Content:
The hardware part adopts mos dual motor drive board based on mos tube and optical coupling isolation chip. MOS motor can drive two tributary motors with current up to 40A. The motor driver is designed based on IR2104S+LR7843, and has a window opening design at high current, with 74LVC245 bus driver chip to realize isolation and protect the main hardware circuit of the MCU.
The software part is mainly based on the development and control of the NXP series k60 microcontroller based on IAR, plus the image recognition of the hawk-eye camera, in which the two-sided scanning algorithm is used (that is, scanning from the middle of the track to both sides to the track boundary position, saving in the left and right boundary array, and then obtaining the error from the boundary to the center line). Then put this deviation into the motor or steering gear control), the steering gear uses pd control (compared with the traditional pid control, pd control is faster for the steering gear), and the motor adopts incremental pid (compared with the positional pid formula, there is no need to add up. The determination of the control increment su(k) is only related to the sample value of the latest k times, so it is easier to obtain a better control effect by weighted processing).
- Two-car category (2020 National Intelligent Car Competition for College Students)
Purpose: Compared with the previous year, the new elements of garage and car passing were added. Participants were required to send the ball from the front car to the rear car at the designated position near the middle of the track (where the rear car is waiting to catch the ball), and the rear car entered the garage smoothly after getting it and stopped. In the track, they also had to pass the ring, ramp and identify the zebra crossing.
Content:
The hardware part and the previous basic changes are not much, but more 3D printing, as well as steering gear control, the most important is the balance of the tricycle and the center of gravity (after a long period of research found that the center of gravity is back, the lower the better).
One of the cars in the software part (a tricycle, a universal wheel in front, two motor wheels in the back) is controlled by Infineon tc264 microcontroller under the tasking development environment, and the other car has little change from the previous one. The tricycle uses a small drill camera, and then grayed, and uses the Otsu method to obtain a dynamic threshold (compared to the traditional binarization fixed threshold, the adaptability is improved), and then also uses a two-side scanning algorithm (that is, scans from the middle of the track to both sides of the track boundary position, saved in the left and right boundary array, and then obtains the error error from the boundary to the middle line. Subsequently, this deviation is put into the motor or steering gear control), and the motor adopts incremental pid (compared to the positional pid calculation, no accumulation is required. The determination of the control increment su(k) is only related to the sample value of the latest k times, so it is easier to obtain a better control effect by weighted processing). Since the three wheels have no steering gear, the steering can only rely on differential speed, so the speed ring here uses segmented pd control, and then adds the weight to the pid of the motor, and adopts double steering gear steering control for the passing device.
Awards
Undergraduate stage:
2017-2018 academic year: Academic scholarship, 2018 Zhejiang TI Cup College Student Electronic Design Competition Award.
2018-2019 academic year: Third Prize for Outstanding students, academic scholarship, Third Prize of 2019 TI Cup National College Students Electronic Design Competition (Zhejiang region), Second Prize of 2019 National College Students “NXP” Cup Intelligent Car Competition (Zhejiang region) (four-round group).
2019-2020 academic year: Provincial Government Scholarship, Third Prize of Merit Student, Third Prize of Outstanding Student, Second Prize of Outstanding Student, National Second Prize of 2020 National Intelligent Car Competition for College Students (two-car category), Provincial second Prize of 2020 National Intelligent Car Competition for College Students (Zhejiang Region) (two-car category).
Postgraduate stage:
From 2021 to now: Third-class Scholarship for Graduate students in 2021, Second-class Scholarship for graduate students in 2022, Outstanding Graduate students of Huzhou Normal University in 2021-2022, and as the representative of outstanding students, won the school-level “Praise, Hu Shi Ren”, and won the report of the official public account of Huzhou Normal University (praise, Hu Shi Ren | successfully developed a new clean unmanned boat! Him! Never stopped trying!)
Research achievement
Software copyright：AIFORU-MPU6050 Arm Motion Capture Data Visualization System; AIFORU-MPU6050 Arm Movement Detection Medical Rehabilitation System; “Fishing Robot- Fish pond harmless bird drive detection system”;
Program proposal：Research on a new method of intervention education for Autistic Children based on AI-Guided Games (Zhejiang Province Education Science Planning Project);
Internet + competition “Herding and fishing Robot”, and won the provincial bronze award third prize.