Bluebox 'Intelligently' Assesses Event Information
Whitewater Security's Bluebox event detection system (EDS) integrates controls and monitors all network sensors online while detecting abnormal water quality events. According to the company, standard water quality measurement sensors cannot always determine the difference between real events and false alarms. The normal variability in distribution system water quality, coupled with the large amount of data, makes it a challenge to successfully detect transient contamination incidents.
To enable this, a system needs to be able to intelligently assess information regarding any event, past or present. Bluebox contains algorithms to detect anomalous conditions. By meticulously determining water quality irregularities and serving as an auxiliary to the decision-making process, the EDS minimises false alarms and increases reliability, enabling a fast and accurate response to a contamination event. Bluebox works by collecting monitoring parameters (including pH, turbidity, chlorine, pressure and flow) from a range of sensors; the system then processes and benchmarks the data in order to identify irregularities. Next, the EDS displays data online in real time from all sensors.
It then creates a fingerprint of the water and establishes a dynamic baseline database by factoring in equipment age, periodicity effect, time of year and historical trends. Bluebox also filters abnormal data based on past knowledge stored in the system database as well as against classification made by an authorised engineer. Finally, the system aggregates the data into a series of fully analysed statistical displays, providing the operator with an easy to-use view of online data, irregularities and events.
To enable this, a system needs to be able to intelligently assess information regarding any event, past or present. Bluebox contains algorithms to detect anomalous conditions. By meticulously determining water quality irregularities and serving as an auxiliary to the decision-making process, the EDS minimises false alarms and increases reliability, enabling a fast and accurate response to a contamination event. Bluebox works by collecting monitoring parameters (including pH, turbidity, chlorine, pressure and flow) from a range of sensors; the system then processes and benchmarks the data in order to identify irregularities. Next, the EDS displays data online in real time from all sensors.
It then creates a fingerprint of the water and establishes a dynamic baseline database by factoring in equipment age, periodicity effect, time of year and historical trends. Bluebox also filters abnormal data based on past knowledge stored in the system database as well as against classification made by an authorised engineer. Finally, the system aggregates the data into a series of fully analysed statistical displays, providing the operator with an easy to-use view of online data, irregularities and events.
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