Public Warning Notification System
STOP-IT’s public warning notification system is now available at Zenodo. The source code is available at Github. If you click on download, you will find the accompanying documentation document for the public warning notification system.
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|What is the solution?
|The Public Warning Notification System (PWNS) has two main functionalities: detect and report incidents, and inform users and citizens. It is a key element in the solution developed by the project as it activates the first phase of the system, that is, triggering an alert that, in turn, will ultimately put in place the corresponding response plan.
|What challenges are addressed?
|Water agencies, regulators, municipalities and environmental agencies can benefit from this Public Warning Notification System. The tool is also useful for any industrial operator who needs to monitor processes and can integrate data sources or deploy sensors to capture data variables. Such data can be processed to generate alerts when specific conditions, like threshold limits, absolute/relative variations or other rules upon request from the operator, are met. Response plans and lists of action to be taken when a specific situation is presented can be defined individually to enable the operator to implement the appropriate actions.
|What is the innovation?
|The PWNS processes data, alerts and detected incidents from external sources and reports them to the STOP-IT core platform. At this initial stage, in most cases, the incident has to be validated by a human operator. Once this is done, the anomaly is notified to the system that, by cross-checking with other incident-related data from different sources, can identify the risk situation. This assessment will be sent to the visualisation interface for water utilities.
The visualisation interface starts a response plan with actions to be executed when specific situations arise. These actions are based on different parameters set by water operators and can include both corrective and mitigation measures. The system also sends the information and instructions to follow to the users and citizens using the most appropriate channels, i.e. email, SMS, mobile app notifications, etc.
|Ignasi Garcia-Milà (Worldsensing): firstname.lastname@example.org
Maite Garcia (Worldsensing): email@example.com