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Pipeline Inspection Data Visualization

This is a Streamlit application for visualizing pipeline inspection data. The original code has been refactored into a modular structure for better organization and maintainability.

File Structure

• main.py: The entry point of the application. Contains the main Streamlit UI components and application flow.
• data_processing.py: Contains functions for processing and transforming the pipeline data.
• utils.py: Contains utility functions for data conversion, such as clock format parsing.
• visualizations.py: Contains the visualization creation functions for both complete pipeline and joint-specific views.

How to Run

1. Make sure all the files are in the same directory
2. Install required packages:

   pip install streamlit pandas numpy plotly
   

3. Run the application:

   streamlit run main.py
   

App Features

• Upload pipeline inspection CSV data
• View processed data tables (joints and defects)
• Visualize the entire pipeline with defects
• Visualize specific joints with detailed defect information

Visualization Types

1. Complete Pipeline View: An unwrapped cylinder visualization showing all defects with different color modes:

   • Depth (%)
   • Surface Location
   • Area (mm²)

2. Joint-by-Joint View: Detailed visualization of defects within a specific joint

Data Processing

The application processes raw CSV data into two main tables:

• Joints table: Contains joint information (distance, joint number, length, etc.)
• Defects table: Contains defect information with references to associated joints

Notes

This code reorganization maintains all original functionality while improving maintainability. No functionality has been changed - only the organization of the code into separate files.

Fitness-For-Services

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