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:
Nov. 29, 2022

Filed:

Mar. 27, 2018
Applicant:

Terminus (Beijing) Technology Co., Ltd., Beijing, CN;

Inventors:

Xiaomin Chang, Beijing, CN;

Yanfei Qie, Beijing, CN;

Lei Wang, Beijing, CN;

Guichen Wang, Beijing, CN;

Lu Peng, Beijing, CN;

Baisong Wang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/22 (2006.01); G05B 13/04 (2006.01); G05B 13/02 (2006.01); G06F 30/27 (2020.01); G06F 30/20 (2020.01); G06N 3/02 (2006.01); G06F 16/28 (2019.01); H04L 41/16 (2022.01); G05B 23/02 (2006.01); G06F 16/906 (2019.01);
U.S. Cl.
CPC ...
G05B 13/048 (2013.01); G05B 13/027 (2013.01); G05B 23/0254 (2013.01); G06F 11/2263 (2013.01); G06F 16/285 (2019.01); G06F 16/906 (2019.01); G06F 30/20 (2020.01); G06F 30/27 (2020.01); G06N 3/02 (2013.01); H04L 41/16 (2013.01);
Abstract

Disclosed are a method for automatically diagnosing and controlling an apparatus in an intelligent building and relevant device. The method includes: performing, based on historical data of working parameters of multiple apparatuses, an abnormal diagnosis on received real-time data of the working parameters; determining an abnormal apparatus; selecting a neural network predictive control model corresponding to the abnormal apparatus; selecting one piece of non-abnormal data which has a same parameter type as that of the abnormal data and is close to the current abnormal data in time as a predictive control target, and determining a predictive control data that can cause an output matching the predictive control target; and controlling the abnormal apparatus according to the predictive control data. The automatic diagnosis and automatic control of an apparatus in an intelligent building are realized, meanwhile the safe and efficient operation of all apparatuses in an intelligent building is ensured.


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