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. 08, 2025

Filed:

Oct. 15, 2023
Applicant:

Chengdu Qinchuan Iot Technology Co., Ltd., Sichuan, CN;

Inventors:

Zehua Shao, Chengdu, CN;

Yong Li, Chengdu, CN;

Lei Zhang, Chengdu, CN;

Bin Liu, Chengdu, CN;

Yongzeng Liang, Chengdu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/06 (2024.01); G06N 5/022 (2023.01); G06Q 10/0631 (2023.01); G16Y 10/35 (2020.01); G16Y 40/20 (2020.01);
U.S. Cl.
CPC ...
G06Q 50/06 (2013.01); G06N 5/022 (2013.01); G06Q 10/06315 (2013.01); G16Y 10/35 (2020.01); G16Y 40/20 (2020.01);
Abstract

The present disclosure provides a method for power consumption analysis and troubleshooting of a production line based on an Industrial Internet of Things, system, and storage medium thereof. The method comprises: resetting electric energy metering equipment based on an initialization instruction; in response to a successful reset of the electric energy metering equipment, completing a parameter configuration of the electric energy metering equipment based on a parameter configuration instruction; in response to a correct parameter configuration of the electric energy metering equipment, obtaining power consumption data, the power consumption data including historical internal power consumption data of the production line; determining an internal power consumption distribution of the production line through processing the historical internal power consumption data based on a distribution prediction model; and determining whether a power consumption of the production line is abnormal based on the internal power consumption distribution.


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