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Enhancing Diagnostic Tool Functionality for Commercial Vehicle Electrical Systems
  1. case
  2. Enhancing Diagnostic Tool Functionality for Commercial Vehicle Electrical Systems

Enhancing Diagnostic Tool Functionality for Commercial Vehicle Electrical Systems

sigma.software
Automotive

Identified Challenges in Fault Diagnosis for Electrical Vehicle Systems

The client faces difficulties in efficiently diagnosing electrical faults in bus and truck systems, resulting in increased repair times and reduced service efficiency. Existing tools provide excessive data, complicating troubleshooting for technicians, and lack streamlined features for rapid fault analysis and repair guidance.

About the Client

A mid to large-sized commercial vehicle manufacturer specializing in buses and trucks, aiming to improve electrical fault diagnostics and maintenance efficiency.

Goals for Improving Electrical Diagnostic and Troubleshooting Capabilities

  • Develop an upgraded diagnostic application focusing on primary issues with simplified user interfaces.
  • Implement advanced search and caching mechanisms to speed up fault identification.
  • Refactor existing code and SQL queries to enhance system performance and maintainability.
  • Enable user feedback features to continuously improve tool accuracy and usability.
  • Reduce fault diagnosis time and improve service technician efficiency in electrical fault detection and repair.

Core Functional and Technical Capabilities for the Diagnostic System

  • Primary fault detection focusing on critical issues with minimal data overload.
  • One-click detailed fault descriptions for troubleshooting guidance.
  • Search functionality with caching for quick retrieval of fault logs.
  • Refactoring of existing codebase and optimized SQL queries for improved system responsiveness.
  • Feedback module to collect user insights and enhance diagnostic accuracy.

Preferred Technologies and Architectural Approaches

Modern frontend frameworks for intuitive UI
Efficient database management with optimized SQL queries
Caching mechanisms to speed up fault data retrieval
Modular architecture for maintainability

Essential System Integrations for Operational Effectiveness

  • Vehicle fault log systems for real-time data acquisition
  • Mock-up of existing diagnostic hardware/software interfaces
  • User feedback platforms or modules

Critical Non-Functional System Parameters

  • Application response time under 2 seconds for fault searches
  • System reliability with 99.9% uptime
  • Data security and user privacy compliance
  • Scalability to accommodate growing fault log data and user base

Projected Business Benefits and Performance Improvements

Implementation of the enhanced diagnostic tool is expected to significantly reduce fault diagnosis time, improve service technician efficiency, and streamline electrical fault management processes, leading to faster repairs and increased operational uptime for service fleets. Projected improvements include faster fault identification, easier troubleshooting workflows, and better user feedback integration to ensure ongoing system refinement.

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