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.

Patent No.:

US 11126765 B1

Date of Patent:

Sep. 21, 2021

Filed:

Jul. 14, 2020

Method for optimal scheduling decision of air compressor group based on simulation technology

Applicant:

Dalian University of Technology, Liaoning, CN;

Inventors:

Jun Zhao, Liaoning, CN;

Yang Liu, Liaoning, CN;

Fan Zhou, Liaoning, CN;

Zhongyang Han, Liaoning, CN;

Linqing Wang, Liaoning, CN;

Wei Wang, Liaoning, CN;

Assignee:

DALIAN UNIVERSITY OF TECHNOLOGY, Liaoning, CN;

Attorney:

Muncy, Geissler, Olds & Lowe, P.C.

Primary Examiner:

Justin C Mikowski

Int. Cl.

CPC ...

G06F 30/20 (2020.01); G06N 7/08 (2006.01); G06F 111/04 (2020.01); G06F 119/06 (2020.01); G06F 111/10 (2020.01);

U.S. Cl.

CPC ...

G06F 30/20 (2020.01); G06N 7/08 (2013.01); G06F 2111/04 (2020.01); G06F 2111/10 (2020.01); G06F 2119/06 (2020.01);

Abstract

The present invention provides a method for an optimal scheduling decision of an air compressor group based on a simulation technology, which belongs to the technical field of information. The present invention uses expert experience to construct an air compressor energy consumption model sample set, and applies a least squares algorithm to learn relevant parameters of an air compressor energy consumption model; uses maximum energy conversion efficiency and minimum economic cost based on an equivalent electricity as target functions, and applies the simulation technology and a depth first tree search algorithm to solve a multi-target optimal scheduling model of the air compressor group; and finally uses a fuzzy logic theory to describe the preferences of decision makers, and introduces the decision maker preference information into interactive decision making, thereby assisting production staff to formulate safe, economical, efficient and environmentally friendly operation schemes to achieve an operation mode of maximum resource utilization of the air compressor group. The method also has wide application value in different industrial fields.

Find Patent Forward Citations