HVAC AnoML
A system to scalibily ingest HVAC IoT data and leverage Machine Learning to detect anomalies
A one stop solution for detecting short-term and long-term anomalies
HVAC AnoML processes the large amounts of metadata that your HVAC system produces and leverages the latest in Machine Learning to analyze it. Present the findings to you in a way that requires minimal to no technical knowledge.
Scalable, Efficient & Easy to Use
The system is built with both HVAC technicians and the general population in mind
Large Amounts of Data
Ingest the large amounts of data generated by HVAC systems and store them efficiently
Machine Learning
Analyze Historical Data and build ML models based on that
Real-Time Data
Perform real-time/near real time analysis on the incoming streaming data
Easy to Use
Present the findings of the analysis in easy to understand visual aids
What will this change?
Field Surveys show that 60 percent of HVAC systems in the field are operating below manufacturer specifications. Even a small deviation can mean large increase in consumption and hence costs. Having alerts on anamolies and actionable insights can be help save energy.
Who will use it?
HVACAnomaly can alert technicians and HVAC managers in a timely manner with actionable dashboards. It is designed as a scalable monitoring system taking into account the rapid growth rate of HVACs.
How will it be used?
A cost efficient and eco-friendly solution. HVAC AnoML works with the existing HVAC systems to create the best way of adapting to climate change and the responsibilities that come with it
Improvement Plans
Creating real-time alerts with reduced false positives. Running batch jobs everyday to perform routine analysis. Building the system on a scalable monitoring system.
