App Optimization for Smooth Data Collection

Challenge

• The system’s heavy data usage (3–5 GB/month for EV Chargers) made it hard to ensure reliable data transmission over limited 4G connections
• Local event-based preprocessing was urgently needed to reduce unnecessary data traffic, eliminate non-essential data, and improve overall performance
• The app often failed to record data during offline periods and sync properly when back online, affecting reliability and user confidence
• The client wanted to refine the Meters tab to show unique IDs and groups by type, enable real-time load/zone updates on the Mobility page, and stop transactions in progress

Our contributions included:

• Design and implementation: Our team designed and implemented incremental system updates, including enhancements to the local web server and refinements to the user interface, ensuring a more intuitive and efficient user experience
• Server-side development: We conducted a detailed review of the existing infrastructure, identifying critical issues and optimizing the system for improved performance and reliability
• Regulatory and compliance reporting: Through extensive testing, we validated the system’s offline data collection capabilities and update mechanisms, ensuring compliance with data integrity and synchronization requirements
• Technological integration: Using a combination of web technologies and local server solutions, we ensured seamless operation across different environments, maintaining robustness in both online and offline scenarios

 
Key Features

• Introduced local event-based data processing to cut data volume and boost reliability
• Replaced MongoDB with lightweight SQLite for improved performance and stability
• Updated the UI using Bulma and Pico CSS for faster loading, even with weak connectivity
• Enhanced service updates and device control for stable operation across 1,700+ devices