Statistical Description of Sensor Data and Events
X-BRAiN provides several dashboard options for getting statistical overviews of sensor measurements and associated events. This includes not only the embedded X-BRAiN dashboard where comprehensive graphs and data tables are available, but also dashboard options that are integrated with third party services like Google Data Studio, Amazon CloudWatch and more.
Anomaly Detection (Correlation Between Data & Events)
Heat maps for visualising the data correlation between all sensor measurements and associated events are available within X-BRAiN. This ensures that anomalies with respect to the sensor measurements can be detected, especially when correlations are not obvious to the human eye.
Temporal and Seasonal Analytics
X-BRAiN provides an overview and comparison of seasonal and temporal sensor measurements. A dedicated section with graphs and data tables is available where sensor data for each season or other time periods are given. This includes the comparison of the associated data with former seasons in years past.
When gathering and managing large amounts of data, correlations will usually be present, causing an impact in case the associated data is changing. X-BRAiN is providing capabilities for highlighting those impacts that are described as events.
Operational Condition of the Site
Depending on the application scenario, it is necessary to be aware of the operational condition of a site. This applies to domains like Smart Agriculture or Smart Aquariums, where X-BRAiN is able to detect if plants are entering their growing state in order to trigger associated actions like adjusting the watering and fertilising behaviour. For detecting the operational state, multiple reference objects will be added to the X-BRAiN inventory along with reference data, where ML capabilities will be applied.