🚨 The Challenge
- Multiple factory units with aging PLCs, Modbus and OPC-UA-based equipment
- No unified view of machine status or energy consumption
- High unplanned downtime due to delayed maintenance and lack of real-time alerts
- Teams relied on paper-based logs and manual fault checks
- Data was siloed—no way to extract insights across machines or locations

💡 The Wavefuel Solution
✅ 1. Unified Connectivity
Wavefuel’s device-agnostic platform connected 200+ machines using Modbus, OPC-UA, and MQTT—without any hardware replacement.
✅ 2. Live Operational Dashboards
Using Halo, the factory team created real-time dashboards to monitor key parameters: temperature, vibration, motor status, energy usage, and cycle times.
✅ 3. Predictive Maintenance with Rules
The Rule Engine was used to trigger alerts when motor vibration exceeded safe thresholds or when temperature spiked—preventing breakdowns before they occurred.
✅ 4. Mobile Monitoring
The factory floor operators used a custom screens (built using Wavefuel’s SDK) to track machine health and get notified instantly.
✅ 5. AI Assistant for Maintenance
Lighthouse AI allowed managers to simply “chat” with the system—e.g., “Show me machines nearing overheating in Plant 2.”
📈 The Result
- 🔻 30% reduction in unexpected downtime within the first 90 days
- ⚙️ 25% faster response time to on-floor issues
- 💰 Saved $110K annually on maintenance labor and emergency part replacement
- 🧠 Increased operator awareness with mobile alerts and dashboards
- 🌐 Scaled to 4 additional units with zero additional dev work—just plug and monitor

🧠 Key Features Used
- Lighthouse Platform
- Rule Engine
- Dashboard Builder
- SDK for Custom App
- Multi-Protocol Support (OPC-UA, Modbus, MQTT)