Objective

Design and develop an interface utilizing the Qt Framework, specifically leveraging QML and Qt C++, to visualize Input/Output data generated by the Customer’s equipment. The interface will seamlessly integrate with the equipment’s data through JSON files, providing real-time updates every 500ms. The primary focus is on presenting data in a table format for efficient exploration and analysis, allowing users to interact with columns to open graphs, view trends, and input force values for real-time analysis.

Key Components

Integration with Equipment Data

The interface will connect with the equipment’s data through JSON files, ensuring seamless and real-time data updates every 500ms.

Table Format Visualization

Data will be presented in a table format for efficient exploration and analysis, providing a comprehensive overview of Input/Output data.

Responsive and Visually Appealing Interface

Leveraging QML for layout and visualization, the interface will be responsive and visually appealing, enhancing user experience and engagement.

Interactive Row Filtration

Users can interact with columns to open graphs, enabling a deeper analysis of trends and patterns within the equipment’s data.

Real-time Data Analysis

The interface will support real-time analysis by allowing users to input force values and observe immediate updates, facilitating informed decision-making.

Qt C++ for Data Manipulation and User Interactions

Qt C++ will be employed for robust data manipulation and handling user interactions, ensuring a seamless and intuitive experience.

Tools & Technologies

Programming Languages: QML/C++

Operating System: LINUX – Ubuntu 22.04

Development Environment: QT Creator

How It Works

Data Retrieval

JSON files from the equipment's data source will be retrieved to populate the interface with the latest Input/Output data.

Table Presentation

Data will be presented in a tabular format, allowing users to efficiently explore and analyze key metrics.

Real-time Updates

The interface will provide real-time updates every 500ms, ensuring users have access to the most recent data for timely decision-making.

Column Interaction

Users can interact with columns to open graphs, view trends, and input force values for real-time analysis

Qt C++ Integration

Qt C++ will handle data manipulation and user interactions, ensuring a smooth and responsive interface

Benefits

Users can make informed decisions based on real-time and interactive analysis of the equipment's Input/Output data.

The responsive and visually appealing interface enhances user experience, making data exploration and analysis more intuitive

Efficient exploration of data in table format and real-time updates contribute to increased efficiency and productivity in decision-making processes

Conclusion

The project’s goal is to create an intuitive and interactive interface that leverages the capabilities of the Qt Framework, specifically QML and Qt C++, to facilitate efficient exploration and analysis of the Customer’s equipment Input/Output data. By seamlessly integrating with JSON files and providing real-time updates, this interface will empower users with the tools they need for informed decision-making based on the latest equipment data.

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