There’s a growing demand for sub-metering solutions for retrofitting meters, which means that apartment building operators are renovating older buildings and need to add meters either to follow regulations or to provide better service to tenants.
Reducing the time it takes to install smart water meter is a significant cost driver when rolling out smart meters.
How can a clamp-on meter give the same or “good enough” accuracy (fx. with AI/ML) to compete with in-line smart meters?
Utilities in countries where regulations are less strict than in the EU.
Building operators that provides water/heat/cooling to consumers/tenants in apartment buildings.
Imagine: Installing remote smart water meters has now become a matter of clicking a meter to the pipe.
Maybe AI/ML can give a good enough calculation based on data from clamp-on meters to satisfy utilities or building operators.
Inaccurate measuring that is not precise enough to perform billing.