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:
Dec. 05, 2023

Filed:

Aug. 06, 2019
Applicant:

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

Inventors:

Lingyun Wang, Beijing, CN;

Junmei Qu, Beijing, CN;

Xi Xia, Beijing, CN;

Xin Xin Bai, Beijing, CN;

Jin Yan Shao, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G01W 1/10 (2006.01); G16Z 99/00 (2019.01); G01N 33/00 (2006.01); G06N 5/048 (2023.01);
U.S. Cl.
CPC ...
G06N 5/048 (2013.01); G01W 1/10 (2013.01); G16Z 99/00 (2019.02); G01N 33/0004 (2013.01);
Abstract

A method, a device and a computer program product for abnormal air pollution emission prediction are proposed. In the method, a first set of features characterizing air condition in a zone is obtained. Whether the zone is subject to abnormal air pollution emission in a future first time period is determined based on the first set of features and using a first prediction classifier. In response to determining that the zone is subject to abnormal air pollution emission in the first time period, a second set of features characterizing air condition in the zone is obtained. A future second time period in which the zone is subject to abnormal air pollution emission is determined based on the second set of features and using a second prediction classifier. The second time period is included in the first time period. In this way, the abnormal air pollution emission in the zone can be accurately and efficiently predicted.


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