Heating, ventilating and air conditioning energy-saving control method based on genetic algorithm and depth BP neural network algorithm
The invention provides a heating, ventilating and air conditioning energy-saving control method based on a genetic algorithm and a depth BP neural network algorithm. The problems in active energy saving control of a heating, ventilating and air conditioning system in the daily running process are so...
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| creator | YANG XUJUN HU ZHIYONG RUAN YUNFENG YANG DINGYI ZHENG PENG QIU XIANLONG |
| description | The invention provides a heating, ventilating and air conditioning energy-saving control method based on a genetic algorithm and a depth BP neural network algorithm. The problems in active energy saving control of a heating, ventilating and air conditioning system in the daily running process are solved, and body feeling experience of the indoor environmental comfort level of an intelligent building is improved. According to the heating, ventilating and air conditioning energy-saving control method, a BP neural network based on intelligent building monitoring data is built, the system control effect is improved, predicted accurate control is achieved, daily running data of the heating, ventilating and air conditioning system serve as a training sample, neural network training is carried out, a heating, ventilating and air conditioning energy-saving control prediction model is built, and the problems in modeling with complex control characteristics such as nonlinearity, large lag and environmental influence du |
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According to the heating, ventilating and air conditioning energy-saving control method, a BP neural network based on intelligent building monitoring data is built, the system control effect is improved, predicted accurate control is achieved, daily running data of the heating, ventilating and air conditioning system serve as a training sample, neural network training is carried out, a heating, ventilating and air conditioning energy-saving control prediction model is built, and the problems in modeling with complex control characteristics such as nonlinearity, large lag and environmental influence du</description><language>chi ; eng</language><subject>AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIRCURRENTS FOR SCREENING ; BLASTING ; HEATING ; LIGHTING ; MECHANICAL ENGINEERING ; RANGES ; VENTILATING ; WEAPONS</subject><creationdate>2017</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=20170531&DB=EPODOC&CC=CN&NR=106765959A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170531&DB=EPODOC&CC=CN&NR=106765959A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YANG XUJUN</creatorcontrib><creatorcontrib>HU ZHIYONG</creatorcontrib><creatorcontrib>RUAN YUNFENG</creatorcontrib><creatorcontrib>YANG DINGYI</creatorcontrib><creatorcontrib>ZHENG PENG</creatorcontrib><creatorcontrib>QIU XIANLONG</creatorcontrib><title>Heating, ventilating and air conditioning energy-saving control method based on genetic algorithm and depth BP neural network algorithm</title><description>The invention provides a heating, ventilating and air conditioning energy-saving control method based on a genetic algorithm and a depth BP neural network algorithm. 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The problems in active energy saving control of a heating, ventilating and air conditioning system in the daily running process are solved, and body feeling experience of the indoor environmental comfort level of an intelligent building is improved. According to the heating, ventilating and air conditioning energy-saving control method, a BP neural network based on intelligent building monitoring data is built, the system control effect is improved, predicted accurate control is achieved, daily running data of the heating, ventilating and air conditioning system serve as a training sample, neural network training is carried out, a heating, ventilating and air conditioning energy-saving control prediction model is built, and the problems in modeling with complex control characteristics such as nonlinearity, large lag and environmental influence du</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIRCURRENTS FOR SCREENING BLASTING HEATING LIGHTING MECHANICAL ENGINEERING RANGES VENTILATING WEAPONS |
| title | Heating, ventilating and air conditioning energy-saving control method based on genetic algorithm and depth BP neural network algorithm |
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