dnEnviro has various methods of using the data collected from our (and 3rd party) sensors. We split the use into three distinct areas as each has its own tools and techniques that facilitate better and more detailed data analysis.
- ALERT REPORTING
- TREND ANALYSIS
With ALERT REPORTING, the data is monitored in real-time, looking for data variations. These variations are specified by the customer and are very customisable. They are generally where a sensor is reporting results out of the expected norm. For example, where the temperature is too high or low, where water is detected, or the room occupancy is too high. In these scenarios, our solution will report alerts back to specified users. Usually sent via email or SMS, these alerts can be set to multiple users (or systems) to escalate or, if the same alert is reported for 5 minutes, more people are notified. The solution also accommodates compound alerting so that the results from multiple sensors are combined before alerts are triggered. For example, someone is in a room and the temperature is too high.
TREND ANALYSIS within our platform allows authorised users to look at the performance of sensors. These reports can be viewed within the platform and exported for further analysis or sharing with colleagues. They show the performance of one or more sensors (overlay on top of each other if required) over time. This is useful to check on expected performance, look for spikes or ascertain what the sensors were reporting at a particular time.
ANALYTICS ... The real power of sensor data is the ability to look for data anomalies or data trends that are not visible to the human eye. The human ability to look over large amounts of data and see patterns is extremely limited, but for the computer, this is an area it excels in. We fundamentally believe the true power of deploying sensors and collecting the data is to understand that small changes can have a significant impact.
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