Metrics monitoring and financial validation system (M2FVS) for tracking performance of capital, operations, and maintenance investments to an infrastructure

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United States of America Patent

PATENT NO 8725665
SERIAL NO

13589737

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Abstract

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Techniques for evaluating the accuracy of a predicted effectiveness of an improvement to an infrastructure include collecting data, representative of at least one pre-defined metric, from the infrastructure during first and second time periods corresponding to before and after a change has been implemented, respectively. A machine learning system can receive compiled data representative of the first time period and generate corresponding machine learning data. A machine learning results evaluator can empirically analyze the generated machine learning data. An implementer can implement the change to the infrastructure based at least in part on the data from a machine learning data outputer. A system performance improvement evaluator can compare the compiled data representative of the first time period to that of the second time period to determine a difference, if any, and compare the difference, if any, to a prediction based on the generated machine learning data.

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Patent Owner(s)

  • THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Anderson, Roger N New York, US 74 5189
Boulanger, Albert New York, US 22 1014
Lee, Serena Holmdel, US 4 13
Wu, Leon New York, US 9 52

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