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Development of a High-Performance Relation Visualization and Automated Software Update System for Automotive Component Manufacturers
  1. case
  2. Development of a High-Performance Relation Visualization and Automated Software Update System for Automotive Component Manufacturers

Development of a High-Performance Relation Visualization and Automated Software Update System for Automotive Component Manufacturers

altoroslabs.com
Automotive
Manufacturing
Supply Chain
Logistics
Business services

Challenges in Visualizing Complex Vehicle-Parts Relations and Streamlining Software Maintenance

The client faces difficulties in efficiently visualizing and verifying relationships across various vehicle models and spare parts. Additionally, manual software update processes for proprietary enterprise tools are time-consuming and prone to errors, impacting usability and operational efficiency.

About the Client

A large-scale automotive parts manufacturer specializing in vehicle systems and components with a global customer base and complex product relations

Goals for Enhancing Vehicle-Parts Data Visualization and Automating Software Updates

  • Create a scalable, high-speed system capable of visualizing relation matrices with up to 715 million elements within 560 milliseconds.
  • Implement an interactive matrix grid that supports dynamic resizing up to 26,754 by 26,754 cells, maintaining rapid rendering.
  • Develop a relation visualization tool illustrating multiple relation types (e.g., direct, inverse, bidirectional, no correlation, relation impossibility).
  • Minimize system response time to under 200 milliseconds for user interactions like scrolling, resizing, and element selection.
  • Automate software update processes through a web interface and installer agent, enabling one-click updates for end-users on multiple servers.
  • Facilitate seamless integration of new project management features and compatibility with existing enterprise tools.

Core Functional Capabilities for Vehicle-Parts Relation Visualization and Software Auto-Update System

  • A matrix grid visualization component capable of rendering extremely large matrices efficiently.
  • Support for multiple relation types: direct, inverse, no correlation, bidirectional, and relation impossibility.
  • Data storage optimization by encoding relations as bit fields and utilizing coordinate ranges for re-use and performance.
  • An editor interface for setting relation data parameters and customizing matrix appearance.
  • An auto-update module with a web-based control panel and installer agent for quick, one-click software updates.
  • Integration builder to connect with existing project management solutions and allow flexible addition of similar tools.

Technology Stack and Architectural Preferences for the Visualization and Update System

.NET Framework / .NET Core for backend development
Efficient data storage using bit fields and optimized object management
Web technologies for admin interfaces (e.g., ASP.NET, React or Angular for frontend)
High-performance rendering techniques to achieve sub-second update times for large matrices

Integration Needs with Enterprise Management and Deployment Systems

  • Existing proprietary project management software for seamless synchronization
  • Server infrastructure for multi-server deployment and distributed updates
  • External data sources for vehicle and parts data relationships

Performance, Scalability, and Reliability Expectations

  • Render matrices with up to 26,754×26,754 cells (over 715 million elements) within 560 ms
  • Ensure user interactions are responded to within 200 ms
  • Optimize RAM usage by efficient data encoding
  • Support deployment on multiple servers with reliable update distribution
  • Security measures for data integrity and system access control

Expected Business Benefits from Advanced Visualization and Automated Software Management

By implementing this system, the client will achieve significantly faster relation visualization, enabling more accurate and efficient verification of vehicle-part compatibilities. The automation of software updates reduces manual effort, enhances end-user experience, and minimizes downtime. These improvements will support the client’s operational scalability, improve data accuracy, and lead to increased customer satisfaction across over 300 enterprise clients.

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