Development of a Centralized Data Management Platform for Engine Test Data Optimization

The client faces significant difficulties in managing and utilizing extensive sensor data generated from engine testing laboratories. The lack of a unified system hampers efficient data access, analysis, and standardization, impacting engine performance optimization, maintenance costs, and safety assurance.

A mid to large-sized vehicle manufacturing company aiming to enhance R&D data accessibility, standardization, and analysis capabilities for engine testing and performance optimization.

• Create a centralized platform to stream, normalize, and provide secure, real-time access to engine test data.
• Automate data formatting and standardization processes to improve data consistency and usability across teams.
• Enhance data accessibility for data scientists and engineering teams to enable rapid analysis, modeling, and prototyping.
• Implement agile development methodologies to iteratively improve the platform, ensuring flexibility and stakeholder collaboration.
• Achieve measurable improvements in data handling efficiency, leading to faster test cycles, reduced maintenance costs, and enhanced engine safety features.

• Real-time data streaming and batch processing capabilities for large volumes of engine test data.
• Automated data normalization, standardization, and format engineering services.
• User-friendly dashboards and data access interfaces for data scientists and engineers.
• Continuous integration and deployment processes supporting agile iterations.
• Secure user authentication and role-based access controls.

• Sensor and test rig data sources for ingestion.
• Data analysis and modeling tools used by data scientists.
• User management and security systems.
• Existing lab management systems or databases.

• High scalability to handle increasing data volumes from multiple test rigs.
• Low latency for real-time data streaming and access.
• High availability and system resilience.
• Compliance with data security and confidentiality standards.
• Support for iterative deployment cycles with 3-month sprints.

The implementation of this centralized engine test data platform aims to significantly improve data accessibility and standardization, enabling data scientists and engineers to make faster, more informed decisions. Expected outcomes include enhanced operational efficiency, reduction in maintenance costs, faster testing cycles, and the development of innovative engine performance solutions, ultimately leading to a more competitive and safer vehicle manufacturing process.