ana::tool identifies unknown and unusual conditions and enables operators to react in a timely manner to faults in the monitored system, determines normality of this data and triggers an alarm when a significant deviation from the norm is detected
- Installation of ana::tool with application-specific default settings
- ana::tool requires training before it can generate alarms
- ana::tool automatically starts collecting data and indicates when it is ready for training.
- ana::tool can train itself continuously or be trained manually
- Uncomplicated performance of Manual training via the graphical user interface of moni::tool
- A static time window for manual training
- Usage of a moving time window for automatic training
- Automcatically detection of Events which can be removed. Therefore the remaining data represents the “normal state” afterwards.
- ana::tool weights individual parameters and creates thresholds for alarms that optimize sensitivity and minimize false alarm rate Adaptation to slow changes
- ana::tool detects events as well as gradual changes (such as seasonal changes)
- Historical data is collected and patterns of different water compositions can be stored. ana::tool recognizes water whose composition matches these patterns and sensitivity is not affected by changes between known compositions.
- With automatic training with a moving time window, the system automatically adapts to slow changes in the water matrix. The sensitivity of the alarm system is reduced during periods when the water composition changes continuously, . The actual sensitivity is displayed.
- ana::tool generates a single binary alarm value
- The value indicates how far the current water composition deviates from normality
- Additional definition of single alarms, e.g. a static limit value for a parameter
- ana::tool requires user confirmation for communicated events
- The alarm value to trigger various actions and reactions
- Open interface to all types of sensors and measuring devices also from other manufacturers. Other data sources can also be used.
- Online and real-time validation of data before event detection significantly reduces false alarm rate.
- Graphical user interface provides an overview of the entire station at a glance
- Web-based interface, allows access at any time from any location
- Designed to take advantage of the extensive capabilities of spectral data
- Includes an indicator of actual alarm sensitivity
- Can calculate the contribution of individual water sources A, B, C, … to the total water mix