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:
Sep. 14, 2021

Filed:

Jul. 31, 2020
Applicant:

Nova Fitness Co., Ltd., Shandong, CN;

Inventors:

Shanwen Liu, Shandong, CN;

Michael Jun Xu, Lyons, FR;

Jiangshan Song, Shandong, CN;

Shuaishuai Jia, Shandong, CN;

Jian Gao, Beijing, CN;

Shuchun Si, Shandong, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 15/06 (2006.01); G01N 33/00 (2006.01); G01D 21/02 (2006.01); G01N 15/02 (2006.01); G01N 15/10 (2006.01); G01N 1/22 (2006.01); B60R 16/023 (2006.01); G01N 15/12 (2006.01); G08C 17/02 (2006.01); G01N 15/00 (2006.01);
U.S. Cl.
CPC ...
G01N 33/0006 (2013.01); B60R 16/0232 (2013.01); G01D 21/02 (2013.01); G01N 1/2273 (2013.01); G01N 15/0205 (2013.01); G01N 15/0211 (2013.01); G01N 15/06 (2013.01); G01N 15/1012 (2013.01); G01N 15/12 (2013.01); G01N 33/007 (2013.01); G01N 33/0032 (2013.01); G01N 33/0062 (2013.01); G01N 33/0075 (2013.01); G08C 17/02 (2013.01); G01N 2015/0046 (2013.01); G01N 2015/0693 (2013.01);
Abstract

A multi-core sensor system in taxi roof light is provided. The multi-core sensor system can intelligently determine whether the change is caused by the sub-sensor failure or sudden pollution, when the data detected by the sub-sensor suddenly changes dramatically, so as to increase the reliability of detection data of the sub-sensor. The multi-core sensor system can automatically determine whether the repair is needed when a device fault occurs, thereby ensuring the continuity of the sub-sensor detection data; which has significant value for continuous monitoring required for a haze treatment operation. In addition, human and material resources for device maintenance may be saved, thereby reducing waste.


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