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US Patent 11416955 Model predictive maintenance system with integrated measurement and verification functionality

Patent 11416955 was granted and assigned to Johnson Controls on August, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Johnson Controls
Johnson Controls
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
114169550
Patent Inventor Names
Robert D. Turney0
Mohammad N. Elbsat0
Michael J. Wenzel0
Jingduo Fan0
Date of Patent
August 16, 2022
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Patent Application Number
166875710
Date Filed
November 18, 2019
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Patent Citations
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US Patent 10437241 Systems and methods for generating maintenance packages
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US Patent 10359748 Building energy cost optimization system with asset sizing
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US Patent 10094586 Predictive building control system and method for optimizing energy use and thermal comfort for a building or network of buildings
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US Patent 10101731 Low level central plant optimization
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US Patent 10250039 Energy storage controller with battery life model
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US Patent 10190793 Building management system with electrical energy storage optimization based on statistical estimates of IBDR event probabilities
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US Patent 11003175 Automated supervisory control system
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US Patent 10762475 Digital twins for energy efficient asset maintenance
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Patent Citations Received
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US Patent 11951416 Convection enhanced evaporation
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US Patent 11525594 Automated management of electricity consumption
Patent Primary Examiner
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Juan C Ochoa
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CPC Code
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G06Q 50/163
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G06Q 10/04
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G06Q 10/06315
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G06N 5/02
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G06Q 10/20
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G05B 13/048
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A model predictive maintenance system for building equipment including one or more processing circuits including processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include obtaining an objective function that defines a cost of operating the building equipment and performing maintenance on the building equipment as a function of operating decisions and maintenance decisions for the building equipment for time steps within a time period. The operations include performing an optimization of the objective function to generate a maintenance and replacement strategy for the building equipment over a duration of an optimization period. The operations include estimating a savings loss predicted to result from a deviation from the maintenance and replacement strategy. The operations include adjusting an amount of savings expected to be achieved by energy conservation measures for the building equipment based on the savings loss.

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