| Product(s): |
WaterSight |
| Version(s): |
10.00. |
| Area: |
Documentation |
The Tank Details page is similar to the Sensor Details page but limited to tanks level only.
The chart displays initially a time-window of data from 2.5 days back into past to 12 hours into future with the range-slider below the main graph turned on. The user can understand if tank variables lie within the expected range of values. This is particularly useful to quickly spot any anomalies in real time. The grey band shows the range of historical values for the time period represented by the Pattern drop down menu, while real (re-sampled) values are represented as a black, red or orange circles. Whenever real data (re-sampled) goes outside the pattern confidence bands, an outlier is identified and the real value is color coded with a red circle. The user has also the option to navigate in the time history series or have access to future expected behavior (short-term forecasts), by moving the range-slider below the main graph.
Note: The user can access the same information from the Sensor Details page, when selecting the measurement type Level.
Tank
Select the tank from the list of available tanks.
Measurement
Filters the type of sensor
Integration
Specifies on the one hand the rate at which raw signal readings are re-sampled (15min, 1hour, daily) and on the other hand how the sensor information is charted.
- 15 minutes: raw signal data is re-sampled in every 15 minutes interval.
- 1 hour: raw signal data is re-sampled in every 1 hour interval.
- Daily minimum: The minimum value for each day (one value per day) is computed using statistical analysis
- Daily average: The average value for each day (one value per day) is computed using statistical analysis
- Daily maximum: The maximum value for each day (one value per day) is computed using statistical analysis
Pattern
The Pattern drop down menu controls the time range of data used to compute the gray bands. In OpenFlows WaterSight patterns are computed using advanced statistic equations together with machine learning techniques to remove outliers or bad data. The user has the option to define the historic time range to be used to compute these patterns: last month, last 2 months, last 3 months, last 6 months or last year of data.
Statistic (Last 7 days)
| Field |
Description |
| Minimum (p05) |
Percentile 5 of the last 7 days period, for the integration type time-series defined. |
| Median (p50) |
Percentile 50 of the last 7 days period, for the integration type time-series defined. |
| Maximum (p95) |
Percentile 95 of the last 7 days period, for the integration type time-series defined. |
| Minimum/Median |
Ratio of "Minimum (p05)"and "Median (p50)" of the last 7 days period, for the integration type time-series defined.
|
Selected Sensor
| Field |
Description |
| Id |
Scada ID/Tag of the sensor |
| Type |
Kind of measurement |
| Status |
Status obtained from number of signal readings in the selected signal time range and the expected number of readings. |
| Latest |
Timestamp of most recent signal reading |
