The Challenge
Factory teams needed a clearer view of equipment and production signals to identify operational issues before they affected throughput.
Equipment signals were difficult to view together
Operational exceptions could be detected late
Teams lacked a common monitoring dashboard
Historical telemetry was underused for decisions
Our Solution
We connected factory telemetry into a monitoring experience that highlights equipment status, operational conditions and exceptions.
Connected equipment telemetry
Centralized factory monitoring dashboards
Threshold and exception alerts
Historical operational visibility
Key Features
Device and equipment status
Telemetry dashboards
Threshold alerts
Exception monitoring
Historical trend views
Implementation Approach
The rollout connected priority equipment first, validated telemetry quality and then introduced operational dashboards and alerting.
Mapped priority equipment and signals
Connected telemetry sources
Validated device data quality
Configured thresholds and alerts
Rolled out dashboards to operations teams
Business Impact
Earlier detection of equipment exceptions
Better operational visibility
Faster response to abnormal conditions
More useful telemetry for operational decisions
Outcomes
A centralized factory monitoring layer
Improved equipment awareness
More proactive operational response
Foundation for predictive maintenance
Technology Direction
The platform can extend toward predictive maintenance, additional equipment, edge processing and production analytics.
Scalable architecture aligned to the client’s operating model.
Secure data handling and controlled access.
Integration-ready foundations for connected systems.
Clear path for analytics, automation and future enhancement.
Technologies Used
MQTTNode.jsReactInfluxDBAWS IoT
Service Capabilities
Smart MonitoringIoT Analytics
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