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Patent Searching and Data


Title:
BOILER COAL SAVING CONTROL METHOD
Document Type and Number:
WIPO Patent Application WO/2020/015466
Kind Code:
A1
Abstract:
A boiler coal saving control method, comprising a linear relation model creating step, an optimization target determination step, and a machine learning step; the linear relation model creating step is used for creating a multi-grade model grading mechanism and creating linear relation models accordingly, so as to fill an empty set in a data set; the multi-grade model grading mechanism comprises: taking three characteristic values, i.e. the boiler load, the coal quality, and the ambient temperature in boiler base conditions as grading indexes, so as to generate primary grading; and performing secondary grading on the basis of the boiler load; the optimization target determination step is used for determining a target to be optimized in a boiler, including a combustion efficiency of a boiler and the control of nitrate concentration in flue gas; the machine learning step is used for performing machine learning according to a data source, and comprising a model numbering sub-step, an ontology determination sub-step, and a target optimization sub-step. Said control method neither needs to change a combustion structure and principle of a boiler, nor needs to add additional detection nodes, but provides a safe and reasonable operation recommendation by means of a machine learning method, improving the combustion efficiency of a boiler, saving coal and improving efficiency.

Inventors:
LIU YU (CN)
SUN ZAILIAN (CN)
MEI YU (CN)
Application Number:
CN2019/089211
Publication Date:
January 23, 2020
Filing Date:
May 30, 2019
Export Citation:
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Assignee:
XIAMEN ETOM SOFTWARE TECH CO LTD (CN)
International Classes:
F23N5/00; F22B5/00
Foreign References:
CN108954375A2018-12-07
CN103576655A2014-02-12
CN104776446A2015-07-15
CN102032590B2012-01-11
CN107726358A2018-02-23
US5115967A1992-05-26
US5197666A1993-03-30
Attorney, Agent or Firm:
XIAMEN SHICHENG ASSOCIATES INTELLECTUAL PROPERTY AGENCY (CN)
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