Appliance based tariff
AssigneeWINT WI Ltd
InventorsAlon Haim Gal, Dror Galron
Life of this patent
Estimating the term…
Abstract
An electronic sensing and allocation system is provided for a distributed water infrastructure containing a plurality of differing appliances. The system may receive, from at least one sensor upstream of the plurality of differing appliances, a plurality of signals indicative of water usage within the distributed water infrastructure. The system may output a first indication of a first volume of water together with an indicator attributing the first volume of water to a first rate schedule, and output a second indication of a second volume of water together with an indicator attributing the second volume of water to a second rate schedule. The system may enable billing of the first and second volumes of water to a consumer at differing rates based on differing uses.
Claims20
An electronic sensing and allocation system for a distributed water infrastructure containing a plurality of differing appliances, the system comprising:
- at least one hardware processor configured to:
- receive from at least one sensor upstream of the plurality of differing appliances, a plurality of signals indicative of water flow over time within the distributed water infrastructure, wherein each appliance of the plurality of differing appliances is configured to use water under one or more different modes of water use;
- construct from the plurality of signals, a plurality of water event profiles, wherein the plurality of water event profiles include at least one water flow rate pattern that varies over time;
- associate, using a machine learning model trained on a training set of water event profiles including historical water usage signals within the distributed water infrastructure, at least one of the constructed plurality of water event profiles with a first appliance of the plurality of differing appliances using water in a first mode of water use, and associate at least another of the constructed plurality of water event profiles with a second appliance of the plurality of differing appliances using water in a second mode of water use, wherein the first and second modes of water use are different types of water use in the distributed water infrastructure, wherein the machine learning model includes a neural network;
- extract from the plurality of signals, first information identifying a first volume of water usage corresponding to the first mode of water use;
- attribute the first volume of water to a first category;
- extract from the plurality of signals, second information identifying a second volume of water usage corresponding to the second mode of water use;
- attribute the second volume of water to a second category, wherein a first rate schedule is applicable to the first category, and a second rate schedule, different from the first rate schedule, is applicable to the second category;
- output a first indication of the first volume of water together with a first indicator attributing the first volume of water to the first rate schedule;
- and
- output a second indication of the second volume of water together with a second indicator attributing the second volume of water to the second rate schedule, thereby enabling billing of the first and second volumes of water to a consumer at differing rates based on differing uses.
Dependencies are inferred from the claim text.