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Title:
METHOD, SYSTEM AND COMPUTER DEVICE FOR CAPACITY PREDICTION BASED ON KALMAN FILTER
Document Type and Number:
WIPO Patent Application WO/2016/155241
Kind Code:
A1
Abstract:
Provided in the embodiments of the present invention are a method, system and computer device for capacity prediction based on Kalman filter. The method comprises: acquiring a capacity time sequence of an object to be predicted; building a dynamic model for the capacity time sequence, and extracting state transfer parameters and process noise parameters of the dynamic model; subjecting the capacity time sequence to Kalman filter estimation through the use of the state transfer parameters and the process noise parameters, to generate at least one state characteristic signal; segmenting the capacity time sequence according to at least one state characteristic signal, and determining at least one corresponding segmented point; and predicting the capacity in future time according to at least one segmented point determined in the capacity time sequence. The technical solution of the present invention enables an accurate prediction for capacity increases, thereby helping operation and maintenance staff to work out reasonable capacity increasing schemes.

Inventors:
MIAO BEIBEI (CN)
CHEN YU (CN)
JIN XUEBO (CN)
QU XIANPING (CN)
TAO SHIMIN (CN)
ZANG ZHI (CN)
WANG BO (CN)
Application Number:
PCT/CN2015/089025
Publication Date:
October 06, 2016
Filing Date:
September 07, 2015
Export Citation:
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Assignee:
BAIDU ONLINE NETWORK TECHNOLOGY BEIJING CO LTD (CN)
International Classes:
G06F19/00
Domestic Patent References:
WO2011019979A22011-02-17
Foreign References:
CN104809333A2015-07-29
CN103399496A2013-11-20
CN102608631A2012-07-25
Other References:
None
See also references of EP 3279819A4
Attorney, Agent or Firm:
INGENUITY INTELLECTUAL PROPERTY LAW FIRM (CN)
北京金律言科知识产权事务所(普通合伙) (CN)
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