Data analytics provides information from your collected data.
The OPS solution allows advanced data analytics to be applied to your data. These data analytics techniques include advanced topics such as artificial intelligence, machine learning and advanced remote control. Or simple topics such as averaging or creating daily data profiles.
“Normal” may be understanding that the water level in a tank (that is filled via a solar pump) may have a daily cycle such as regularly dropping each night and rising each morning. Once you have a better understanding of “normal”, you can build smarter and better alerting algorithms.
OPS delivers smart alerting functions based on historical data and data analytics.
Alerting is an important function of monitoring assets such as a tank, or a turkey nest, or the operation of a pump. You want to know as soon as possible if there is a problem, or if something is significantly different from normal.
Once you understand the “normal” patterns in the data for each asset, it is much easier to raise better quality alerts. This approach typically allows issues to be detected earlier, producing high quality alerts.