Case Study • MEAN Stack, IoT Sensors, Alerts, Cloud Analytics
IoT Temperature Monitoring
Real-time Analytics and Alerts
Built a factory temperature monitoring platform using the MEAN stack to collect real-time scanner data, store history securely, and trigger alerts. Enabled real-time monitoring, secure cloud storage, and automated alerts for threshold breaches to improve quality control and worker safety.
Project Overview
The application combines continuous sensor monitoring with historical analysis and automated alerting. This approach helps teams identify abnormal readings earlier and maintain better operational visibility.
Key Capabilities
- Real-time temperature monitoring
- Secure historical data storage
- Threshold-based alerts
- Cloud analytics
- Quality and safety visibility
Technology Stack
Engineering Focus
The project required practical engineering decisions around maintainability, data handling, application workflows and a user experience suited to its operational needs. The implementation reflects a focus on clear backend workflows, reliable data processing and software that can evolve with changing business requirements.