The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 21, 2020

Filed:

Jan. 30, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Saurav Basu, New Delhi, IN;

Thomas George, Bangalore, IN;

Rashmi Mittal, Uttar Pradesh, IN;

Chandrasekar Radhakrishnan, Bangalore, IN;

Yogish Sabharwal, Bangalore, IN;

Ashish Verma, Bangalore, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01); G06Q 50/26 (2012.01); G06F 16/29 (2019.01);
U.S. Cl.
CPC ...
G06F 17/5009 (2013.01); G06F 16/29 (2019.01); G06Q 50/26 (2013.01); Y02P 90/845 (2015.11);
Abstract

Methods, systems, and computer program products for suggesting sensor placements are provided herein. A method includes simulating the concentration of a pollutant over an area covered by a sensor network grid by applying models to an emission inventory corresponding to the area; computing any discrepancy between the simulated concentration and historical data; applying scaling vectors to the first version to generate scaled versions of the emission inventory; re-simulating the concentration of the pollutant by applying the models to the scaled versions, and computing any discrepancy between the re-simulated concentrations and the historical data; identifying each scaling vector that corresponds with a discrepancy within a pre-determined range; applying the identified scaling vectors to an emission inventory value of each of the grid blocks to generate scaled emission inventory values; determining the grid blocks having high variability within scaled emission inventory values; and suggesting a sensor placement at the determined grid blocks.


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