Objective

Enhance the panel manufacturing process through the implementation of advanced features and algorithms. The scope includes the development of automatic 3D model generation, Bill of Materials (BOM) and reports functionality, feeder list generation, price updates, General Arrangement (GA) drawing and fabrication calculation, labor and electrical cost calculations, summation and approval mechanisms, and various efficiency-improving features.

Technologies

Frontend Technologies: HTML, CSS, JS & ReactJS 

Backend Technologies: Python, Django

Database: MySQL

Key Components

(General Arrangement) diagram in Django can be generated using libraries like matplotlib or Plotly for 2D plotting, with Django views and templates handling data input and rendering. This setup allows for dynamic creation and visualization of 2D layout diagrams within a Django web application.

Implement functionality to generate comprehensive BOMs, reports, and documentation for hardware and accessories, ensuring detailed project documentation.

Create a feature for generating feeder lists and configuring BOMs based on user selections, enhancing customization.

Develop a system to automatically update part prices, ensuring accurate and up-to-date cost estimation.

Calculate tentative General Arrangement (GA) drawings and provide detailed fabrication calculations, aiding in project planning and execution.

Implement scientific algorithms to calculate labor and electrical item costs accurately, contributing to precise project cost estimation.

Supply a mechanism to sum up costs and generate approval and submission reports for customer review, facilitating transparent communication.

Streamline the BOM creation process to save time and enhance efficiency, improving overall productivity.

Maintain a library of feeder components for easy reference and selection, promoting consistency across projects.

Support the assembly of multiple MCCB panels together as per project requirements, enhancing flexibility.

Incorporate features to avoid duplication of components, enhancing accuracy and minimizing errors.

Develop algorithms to automatically select busbars based on design parameters and perform validation checks, ensuring optimal busbar configurations.

Allow users to download results in various formats, including Excel, Word, PDF, etc., for easy sharing and documentation.

Provide options for customizing communication with customers to meet specific project needs, improving customer engagement.

Generate detailed manufacturing documents, including switchgear, busbar, and sheet metal costing, as well as packing information, for comprehensive project documentation.

Implement secure login access for project reports to ensure data confidentiality, safeguarding sensitive project information.

Ensure consistency in reports generated across the organization for improved professionalism and communication.

Automatically adjust enclosure measurements based on switchgear changes to maintain design integrity, reducing manual efforts.

An SLD (Single Line Diagram) in Django can be generated by modeling electrical components, using views to handle the logic, and templates to render the diagram. Libraries like matplotlib or network can be used for drawing, and Django-plotly-dash can integrate interactive plots. This setup allows for a dynamic and visual representation of electrical systems within a Django web application.

Continuously work on enhancing overall efficiency in the panel manufacturing process through iterative improvements and optimizations.

Allow users to copy and edit similar projects, saving time and effort in project setup and promoting reusability.

Emphasize cost optimization through efficient labor and electrical item cost calculations, automatic busbar selection, and part cost updates, ensuring projects are executed with minimal expenditure while maintaining quality.

Conclusion

The project scope aims to significantly enhance the panel manufacturing process by introducing advanced features and algorithms, ensuring efficiency, accuracy, and cost optimization. By incorporating these components, the automated panel manufacturing system will evolve to meet the evolving needs of the industry, delivering improved functionality and performance.

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