Zymr engineered a real-time asset monitoring solution using .NET Core with SignalR for bi-directional communication. The platform streamed telemetry to a centralized dashboard hosted on Azure Kubernetes Service (AKS). We implemented rules-based alerting and predictive maintenance workflows using ML models connected via Azure Functions.
A renewable energy firm managing wind and solar farms across North America. The client needed a centralized monitoring platform to visualize sensor data, predict maintenance needs, and reduce system downtime.
Existing tools lacked real-time visibility into asset performance. Sensor data was fragmented and difficult to aggregate, leading to delayed responses to equipment faults. Manual checks increased O&M costs.
The system enabled live visibility into asset health, reducing downtime by 35% and improving response times for critical incidents.
Zymr engineered a real-time asset monitoring solution using .NET Core with SignalR for bi-directional communication. The platform streamed telemetry to a centralized dashboard hosted on Azure Kubernetes Service (AKS). We implemented rules-based alerting and predictive maintenance workflows using ML models connected via Azure Functions.
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