The problem
The IoT workflow required users to scan a QR code, provide or retrieve sensor details, and make sensor readings available in a web-based console.
Objectives
- Build a Flutter application for QR-code scanning.
- Associate scanned QR codes with sensor details.
- Connect the mobile workflow to the application backend.
- Display sensor readings in a Next.js console.
- Use MongoDB and Prisma for the console-side data layer.
The approach
Designed a connected workflow between the Flutter mobile application and the web console, with QR-based identification and a shared data flow for sensor information and readings.
The solution
A proof of concept combining a Flutter QR-scanning application with a Next.js console backed by MongoDB and Prisma.
Implementation
QR-based mobile workflow
The Flutter application lets users scan a QR code and work with the associated sensor details.
- QR-code scanning
- Sensor identification
- Mobile data-entry workflow
Web monitoring console
A Next.js console presents sensor information and readings for operational monitoring.
- Next.js console
- Sensor information display
- Reading visualization
Data integration
MongoDB and Prisma support the console's data layer and structured access to sensor-related records.
- MongoDB
- Prisma
- Mobile-to-console data integration
System architecture
The main architectural components and responsibilities involved in this implementation.
Flutter
Dart
QR-code scanning
Next.js
TypeScript
MongoDB
Prisma
Engineering challenges
Physical-to-digital identification
A scanned QR code needs to identify the correct sensor or sensor record so users can access the relevant information.
Mobile and console integration
Sensor details and readings must move through a consistent data flow between the mobile application and the web console.
Outcomes
The defined proof-of-concept workflow connects QR-based sensor identification on mobile with sensor information and readings in a web console. Production deployment, the telemetry transport mechanism, and measured performance were not specified.
Capabilities delivered
QR-code scanning
Sensor identification
Flutter mobile development
Next.js console development
MongoDB data integration
Sensor-reading presentation