The IBM jStart team is partnering with Water Mission to develop a real-time data alerting and analysis dashboard to instantly view the nonprofit’s existing and future global operations. Water Mission, a nonprofit engineering organization that provides sustainable safe water, sanitation and hygiene solutions for the global water crisis, manages the operations of more than 2,000 safe water systems around the world.
The advanced monitoring and integration into Water Mission’s existing platform will enable it to make more strategic decisions about future water system installations and to view the financial performance and sustainability of each system around the world.
The primary solution is a notification system built around alerts. This provides the in country managers with insights into the water treatment systems, providing real-time access to system functions. Previously, country managers would need to look for specific alert conditions and all associated systems in a particular region. Additionally, the alerts serve as predictive maintenance signals. As example, if the water flow at a pump is falling, that may indicate repair is required. Since it can take several weeks to get replacement parts out to a remote location, this advanced warning system improves the delivery of clean water.
The alerts will give Water Mission actionable insight into the safety, accessibility, and sustainability of its treatment systems.
Over time the alerts will become more sophisticated. The parameters and set points are currently created from basic systems information such as pressure, chemical analysis and flow.
Phase 1 includes:
- Low Usage
- High Usage
- Usage Trent
- No Data Received
Phase 2 includes:
- No Usage
- High Unscheduled
- Service Outage
- High Total Coliforms
- High Fecal Coliforms
- High Turbidity
- Low/High Chlorine
Analytics at Work
IBM Analytics is used to look for specific parameters in the water treatment systems data. This data is matched to the various email subscribers of the data. When fully implemented, the email alerting system interface as indicated in Figure 2.
Predictive Modeling and More
Predictive alerts will be established in the monitoring system. By delving into the trends found in the data and applying IBM Analytics Cloud Data Services there are a myriad of paths to evolve this architecture.
The next development phase includes programing and building a real-time data alerting and analysis dashboard. As historical data accumulates, the dashboard will allow easy viewing of seasonal or humanistic trends over time.
IBM jStart is proud of the partnership with Water Mission and will continue its efforts to contribute to bringing sustainable safe water solutions to 1.8 billion people who lack access to it around the world.