Garbage incinerator denitration control method based on multi-model weighted prediction
The invention provides a garbage incinerator denitration control method based on multi-model weighted prediction. The garbage incinerator denitration control method comprises the steps that characteristic variables are determined according to the correlation degree of operating parameters of a garba...
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| creator | LI ZHIDONG YE YUSHENG LI ZHENGHUI LIU XUEXUN YAO SHUNCHUN ZHANG YANXING MO JUEHUI ZHANG WEIDONG YI GANG |
| description | The invention provides a garbage incinerator denitration control method based on multi-model weighted prediction. The garbage incinerator denitration control method comprises the steps that characteristic variables are determined according to the correlation degree of operating parameters of a garbage incinerator and NOx concentration emission; characteristic variables are determined according to the correlation degree of the operation parameters after time translation and NOx concentration emission; taking the characteristic variables as training samples, and establishing a plurality of prediction sub-models in combination with a least square method; combining the prediction sub-models to obtain a prediction combination model; according to the multiple prediction combination models, NOx concentration emission at multiple moments in the future is predicted, so that the ammonia spraying flow at each moment is obtained; and taking the ammonia spraying flow at each moment as a PID control set value of the ammoni |
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The garbage incinerator denitration control method comprises the steps that characteristic variables are determined according to the correlation degree of operating parameters of a garbage incinerator and NOx concentration emission; characteristic variables are determined according to the correlation degree of the operation parameters after time translation and NOx concentration emission; taking the characteristic variables as training samples, and establishing a plurality of prediction sub-models in combination with a least square method; combining the prediction sub-models to obtain a prediction combination model; according to the multiple prediction combination models, NOx concentration emission at multiple moments in the future is predicted, so that the ammonia spraying flow at each moment is obtained; and taking the ammonia spraying flow at each moment as a PID control set value of the ammoni</description><language>chi ; eng</language><subject>BLASTING ; COMBUSTION APPARATUS ; COMBUSTION PROCESSES ; CONSUMING WASTE PRODUCTS BY COMBUSTION ; CREMATION FURNACES ; HEATING ; LIGHTING ; MECHANICAL ENGINEERING ; WEAPONS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220315&DB=EPODOC&CC=CN&NR=114183760A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220315&DB=EPODOC&CC=CN&NR=114183760A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI ZHIDONG</creatorcontrib><creatorcontrib>YE YUSHENG</creatorcontrib><creatorcontrib>LI ZHENGHUI</creatorcontrib><creatorcontrib>LIU XUEXUN</creatorcontrib><creatorcontrib>YAO SHUNCHUN</creatorcontrib><creatorcontrib>ZHANG YANXING</creatorcontrib><creatorcontrib>MO JUEHUI</creatorcontrib><creatorcontrib>ZHANG WEIDONG</creatorcontrib><creatorcontrib>YI GANG</creatorcontrib><title>Garbage incinerator denitration control method based on multi-model weighted prediction</title><description>The invention provides a garbage incinerator denitration control method based on multi-model weighted prediction. The garbage incinerator denitration control method comprises the steps that characteristic variables are determined according to the correlation degree of operating parameters of a garbage incinerator and NOx concentration emission; characteristic variables are determined according to the correlation degree of the operation parameters after time translation and NOx concentration emission; taking the characteristic variables as training samples, and establishing a plurality of prediction sub-models in combination with a least square method; combining the prediction sub-models to obtain a prediction combination model; according to the multiple prediction combination models, NOx concentration emission at multiple moments in the future is predicted, so that the ammonia spraying flow at each moment is obtained; and taking the ammonia spraying flow at each moment as a PID control set value of the ammoni</description><subject>BLASTING</subject><subject>COMBUSTION APPARATUS</subject><subject>COMBUSTION PROCESSES</subject><subject>CONSUMING WASTE PRODUCTS BY COMBUSTION</subject><subject>CREMATION FURNACES</subject><subject>HEATING</subject><subject>LIGHTING</subject><subject>MECHANICAL ENGINEERING</subject><subject>WEAPONS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi8sKwjAQRbtxIeo_jB9QsFTUrRQfK1eCy5Im13YgzZRkxN83gh_g6lwO98yLx8XEzvQgDpYDolGJ5BBY82QJZCVoFE8jdBBHnUlwlP348srlKA6e3uB-0OynCMf22y2L2dP4hNWPi2J9Pt2ba4lJWqTJWARo29yqalsd6v1uc6z_-XwAsG06jQ</recordid><startdate>20220315</startdate><enddate>20220315</enddate><creator>LI ZHIDONG</creator><creator>YE YUSHENG</creator><creator>LI ZHENGHUI</creator><creator>LIU XUEXUN</creator><creator>YAO SHUNCHUN</creator><creator>ZHANG YANXING</creator><creator>MO JUEHUI</creator><creator>ZHANG WEIDONG</creator><creator>YI GANG</creator><scope>EVB</scope></search><sort><creationdate>20220315</creationdate><title>Garbage incinerator denitration control method based on multi-model weighted prediction</title><author>LI ZHIDONG ; YE YUSHENG ; LI ZHENGHUI ; LIU XUEXUN ; YAO SHUNCHUN ; ZHANG YANXING ; MO JUEHUI ; ZHANG WEIDONG ; YI GANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114183760A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>BLASTING</topic><topic>COMBUSTION APPARATUS</topic><topic>COMBUSTION PROCESSES</topic><topic>CONSUMING WASTE PRODUCTS BY COMBUSTION</topic><topic>CREMATION FURNACES</topic><topic>HEATING</topic><topic>LIGHTING</topic><topic>MECHANICAL ENGINEERING</topic><topic>WEAPONS</topic><toplevel>online_resources</toplevel><creatorcontrib>LI ZHIDONG</creatorcontrib><creatorcontrib>YE YUSHENG</creatorcontrib><creatorcontrib>LI ZHENGHUI</creatorcontrib><creatorcontrib>LIU XUEXUN</creatorcontrib><creatorcontrib>YAO SHUNCHUN</creatorcontrib><creatorcontrib>ZHANG YANXING</creatorcontrib><creatorcontrib>MO JUEHUI</creatorcontrib><creatorcontrib>ZHANG WEIDONG</creatorcontrib><creatorcontrib>YI GANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI ZHIDONG</au><au>YE YUSHENG</au><au>LI ZHENGHUI</au><au>LIU XUEXUN</au><au>YAO SHUNCHUN</au><au>ZHANG YANXING</au><au>MO JUEHUI</au><au>ZHANG WEIDONG</au><au>YI GANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Garbage incinerator denitration control method based on multi-model weighted prediction</title><date>2022-03-15</date><risdate>2022</risdate><abstract>The invention provides a garbage incinerator denitration control method based on multi-model weighted prediction. 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| language | chi ; eng |
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| subjects | BLASTING COMBUSTION APPARATUS COMBUSTION PROCESSES CONSUMING WASTE PRODUCTS BY COMBUSTION CREMATION FURNACES HEATING LIGHTING MECHANICAL ENGINEERING WEAPONS |
| title | Garbage incinerator denitration control method based on multi-model weighted prediction |
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