MTS Specimens Data Transformer

Tutorial: https://github.com/DysonMa/MTS-Data-Transformer

This program is designed for graduate students who are currently studying at the NTU CE 812 lab.

What problem does this program solve?

Traditionally, we use Excel as our data processing tool to calculate Elastic Modulus with linear regression, and find maximum compressive strength with functions in Excel manaully.

Now, with this program, you can save the time of manual calculation and quickly get experimental data results by the code builded by PyQt5!

Features

• Quickly calculate the results of all data and linear regression
• Simple and easy-to-use interface
• Error message box for any mistake
• use logging package to record log
• Export Excel with all the data and figures
• use PyQt5.QThread to create another thread to calculate time-consuming tasks without affecting the GUI
• user can choose smaller or bigger MTS type
• merge multiple files into a new file(only for smaller MTS)

How to get it?

• use git command to clone this repo
• Download as zip

Requirements

• Install Python first (3.5+ is good) --> https://www.python.org/downloads/
• This code use Python 3.8.5

Packages

• matplotlib, seaborn
• pyqt5
• scipy
• openpyxl
• logging
• pyinstaller...

Folder Structure

• input: input files comes from MTS
• output: all the datas and plots are listed in this folder according to the folder name you named
• demo: for demo pictures
• src
  • main.py: main code
  • QtManager.py: PyQt5 main controller
  • DataManager.py: Data processing
  • PlotManager.py: Plot figures and canvas
  • ExcelManager.py: Export Excel
  • ThreadManager.py: Schedule threads(long time task)
  • Utilities.py: Other utility functions
  • MTS.ui: UI file of appearance
  • requirements.txt: List all related packages and their versions
• initialize.bat
• run.bat

How to use it?

TL;DR:

Click initialize.bat for the first time and click run.bat to start the journey!

1. Run initialize.bat for the first time to install all related packages (ONLY the first time)
2. Run run.bat to open the program (EVERY time)

Manual deployment (alternative):

• cd src
• pip install -r requirements.txt
• python main.py

3. Initial picture looks like this

   

4. (Optional) Select the tab of 合併多檔數據(僅小台MTS), and add the files to be merged, and arrange the order of the data, enter the file name, and click 合併多檔 to complete the merge. The merged txt just generated will be generated in the /input/smaller_MTS_data/merged_txt_files folder (all merged files in the future will be generated here)

   

5. click the tab of 處理數據

   

6. Choose 大台MTS or 小台MTS and click 選擇待處理文件 button on the upper left of the window to choose any file from MTS

• bigger MTS: only single file
• smaller MTS: single file or multiple files are supported

Choose WTF_MTS.txt in the /input/smaller_MTS_data/merged_txt_files folder for smaller MTS demo

6. Key in a number for 配比種類數量 which means the number of ratio type

   <p.s> No blank fields allowed

   The datas below are just for demo, DO NOT take it seriously ^0^:

   配比種類	配比數量
   0.35	1
   0.45	1
   0.55	1

7. Choose specimen size (Cube or Cylinder) or you can key in a number in custom area

   Choose Cylinder for demo

8. Key in a folder name in 輸入存檔資料夾名稱 field to save the output files

   Enter WTF_MTS_smaller for demo

9. Click 匯出Excel與Plots button to start the journey!

   

10. All the data and figures are stored in save folder, i.e. WTF_MTS_smaller

11. open datas.xlsx, you will see all the processed data, including the compressive strength, Elastic modulus and the loading history of each specimens.

    

Contact

Feel free to contact me if needed

• Author: madihsiang (R07)
• Email: [email protected]

Happy Experiment!