ana::tool

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

Start

• 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.

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.

Output

• 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

Unique functions

• 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