smart network monitoring helps water companies prevent flooding and reduce pollution
Detectronic helps water companies in managing wastewater networks. To get the most out of your network monitoring programme, skilled analysts within the Detectronic data centre audit different data sets to build a detailed history of a site. They correlate the data against other environmental factors and develop models to generate the right metrics, alarm profiles and indicators.
A SCADA system for a water company can have hundreds or thousands of alarms. When a company has more alarms, there is an increased risk of more alarms becoming active at any one time. That also means there is an increased risk of more false or unnecessary alarms being triggered. The consequence being that an overwhelmed operator dismisses them all as a group. In this case, the alarm system becomes a distraction rather than a useful resource.
Detectronic has a rich history of working with water companies to monitor flow rates and effluent levels at CSO’s and other critical points in the network. Within the Detectronic Data Centre, skilled analysts screen and audit different data sets to build a detailed history of a site. They then correlate the data against other environmental factors and develop the models needed to generate the right metrics, alarm profiles and indicators.
Before reporting on potential flooding or pollution incidents, analysts review what is happening with the surrounding catchment. This allows them to make accurate assessments as to the necessary actions required. The assessment of additional variables massively reduces the number of false alarms. This means resources can be directed to the most critical sites needing intervention.
Detectronic knows that monitoring success extends beyond the supply, installation and commissioning of equipment. The extensive support service it provides to its clients includes:
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Detectronic Alarm Manager uses predictive analysis techniques to turn raw data into insights that are used to build an advanced automated alarm system. It uses algorithms, capable of cross-referencing suites of data accumulated by the Detectronic Data Centre from over 2 billion data points from sewer networks, catchments and live feeds.
Every waste water sewer catchment has its own specific DNA. Monitoring and local knowledge allow a profile of “normal” behaviour to be built, enabling anomaly detection. Catchment based rules are used to aid the formation of an alarm coefficient, which ensures the alarm hierarchy is updated with reliable information for final alarm protocol decision making and used to highlight risk.
Using additional information and powerful mathematical processing, reveals the true behaviour of the catchment. Alarm profiles allow Detectronic Alarm Manager to prioritise severe disturbances from small disturbances, resulting in greater confidence in the system when alarms are forwarded.
Flow and Level Monitors generate alarms for high (or low) levels, normally associated with spill levels or other operationally monitored parameters. Not all alarms require an action, particularly those caused by rainfall events where are monitored CSO performs within its designed criteria.
Increasingly, Detectronic is monitoring pass forward flows to treatment and identifying if a CSO is performing to its original design criteria and agreed consent.
Current alarm settings are generally associated with a failure condition and cannot in themselves facilitate any intervention that would prevent flooding and/ or pollution.
The Detectronic data screening process:
Detectronic Flow and Level Monitors incorporate state of the art communications technology to ensure reliable data delivery worldwide. The Detectronic Data Centre will screen your data whatever your time-zone.
Our systems are designed to keep sewerage engineers fully appraised of sewer network performance, presenting a clear picture of prevailing conditions.
Detectronic Monitoring and Screening services provide Network Managers and Field Engineers with tools to make their lives easier and their networks more efficient.