Previously, we looked at how progressive use cases can help cities evolve their smart infrastructure, and how that might work for city transportation. Let’s look at how this evolution might work for municipal water systems.
As a first step, situational intelligence supports mapping water flows through meters across the city. By comparing projected and actual water flows, situational intelligence can locate water mains most in need for repair or replacement. Critical and proactive repairs can help address the 10 percent or more of water lost in most distribution systems due to leaks. Reclaiming lost water raises production, which saves money by either increasing sales or holding down operating costs.
With the savings from repairing leaks, a city can add a customer service module to their situational intelligence platform to provide better service to customers at lower operating costs. At the same time, customer satisfaction with city water service can rise.
Once a city can map water flows across the distribution system and increase customer service and satisfaction, it is in position to implement a water conservation program to increase sustainability and ensure water supply for future economic development. Situational intelligence supports water conservation by flagging anomalies in water consumption patterns governed by conservation program rules.
In a future blog post, we’ll see how this progression can work for energy.