PVX.AI Updates – March 2025

New Features

Complete Cloud Migration

  • Cloud-First Architecture: Fully migrated to cloud-based infrastructure for better performance and reliability
  • SQLite Deprecation: Completely removed local SQLite database dependencies for cleaner, more efficient operation
  • Enhanced Cloud Services: Improved cloud service integration with better connectivity and data management

2D/3D Conversion Tools

  • Rack Conversion System: Advanced 2D to 3D rack conversion capabilities for flexible design workflows
  • Improved Conversion: Enhanced conversion accuracy and quality for better design representation
  • Moving Rack Feature: Dynamic rack movement capabilities for design optimization

Advanced Data Management

  • Database Modernization: Completely modernized database architecture for better performance
  • HTTP Client Refactoring: Improved HTTP client implementation for better cloud connectivity
  • Enhanced Data Structures: Optimized data structures for better performance and reliability

Improvements

Technical Enhancements

  • Center Alignment: Enhanced center alignment capabilities for precise rack positioning
  • JSON Optimization: Improved JSON data structure with cable voltage support and better organization
  • Geometry Processing: Advanced geometry processing for road/polygon intersections and alignment

User Experience

  • Workflow Streamlining: More intuitive workflows for cloud-based operations
  • Performance Optimization: Faster processing times with cloud infrastructure
  • Data Consistency: Better data consistency and reliability across all operations

Bug Fixes

System Stability

  • Cloud Integration: Resolved various cloud connectivity and data synchronization issues
  • Conversion Accuracy: Improved 2D/3D conversion precision and reliability
  • Data Migration: Smooth transition from local to cloud-based data management

Feature Reliability

  • Rack Movement: Enhanced rack movement functionality for better design flexibility
  • Alignment Precision: Improved alignment accuracy in cloud-based processing
  • Data Integrity: Better data validation and integrity checks in cloud environment

Infrastructure Improvements

Cloud Services

  • Server Optimization: Optimized cloud server performance for faster processing
  • Data Security: Enhanced data security and privacy in cloud operations
  • Scalability: Better scalability for handling larger projects and datasets