Fluid flow rate assessment by a non-intrusive sensor in a fluid transfer pump system
First Claim
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1. A method for assessing fluid flow rate in a fluid transfer pump system in a cloud computing environment by a processor, comprising:
- cognitively determining a fluid flow rate according to a tracer stimulus, injected into the fluid transfer pump system, by one or more non-intrusive Internet of Things (IoT) sensors located at one or more selected positions of a piping network in the fluid transfer pump system; and
initializing a machine learning mechanism using the feedback information from the one or more non-intrusive IoT sensors to provide a cognitive estimate of an energy output of the fluid transfer pump system.
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Abstract
Embodiments for assessing energy in a fluid transfer pump system in a cloud computing environment by a processor. A fluid flow rate may be cognitively determined according to a tracer stimulus, injected into the fluid transfer pump system, and adequately detected by one or more Internet of Things (IoT) sensors located at one or more selected positions of a piping network in the fluid transfer pump system.
26 Citations
21 Claims
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1. A method for assessing fluid flow rate in a fluid transfer pump system in a cloud computing environment by a processor, comprising:
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cognitively determining a fluid flow rate according to a tracer stimulus, injected into the fluid transfer pump system, by one or more non-intrusive Internet of Things (IoT) sensors located at one or more selected positions of a piping network in the fluid transfer pump system; and initializing a machine learning mechanism using the feedback information from the one or more non-intrusive IoT sensors to provide a cognitive estimate of an energy output of the fluid transfer pump system. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for assessing fluid flow rate in a fluid transfer pump system in a cloud computing environment, comprising:
one or more computers with executable instructions that when executed cause the system to; cognitively determine a fluid flow rate according to a tracer stimulus, injected into the fluid transfer pump system, by one or more non-intrusive Internet of Things (IoT) sensors located at one or more selected positions of a piping network in the fluid transfer pump system; and initialize a machine learning mechanism using the feedback information from the one or more non-intrusive IoT sensors to provide a cognitive estimate of an energy output of the fluid transfer pump system. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer program product for assessing fluid flow rate in a fluid transfer pump system in a cloud computing environment by a processor, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
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an executable portion that cognitively determines a fluid flow rate according to a tracer stimulus, injected into the fluid transfer pump system, by one or more non-intrusive Internet of Things (IoT) sensors located at one or more selected positions of a piping network in the fluid transfer pump system; and an executable portion that initializes a machine learning mechanism using the feedback information from the one or more non-intrusive IoT sensors to provide a cognitive estimate of an energy output of the fluid transfer pump system. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification