Heating ventilation air conditioner automatic temperature adjusting system based on machine learning

The invention relates to the technical field of data processing, in particular to a heating ventilation air conditioner automatic temperature adjusting system based on machine learning. The system obtains a temperature curve of a sampling area when the heating ventilation air conditioner works at a...

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Main Authors HUCOT, ZHEN CE, WANG PENG, WANG KUN, JIN QIHANG, FU XIAOYU, LI GUANGQIAN, HOU JUNLIANG, ZHANG WENBO, ZHENG JICHUN
Format Patent
LanguageChinese
English
Published 30.05.2023
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Abstract The invention relates to the technical field of data processing, in particular to a heating ventilation air conditioner automatic temperature adjusting system based on machine learning. The system obtains a temperature curve of a sampling area when the heating ventilation air conditioner works at a set temperature, and temperature values and area images of all local areas at the current moment; obtaining the balance temperature of the temperature curve, and further obtaining an ideal temperature curve of the sampling area; performing data fitting and analysis on the ideal temperature curve by using a machine learning algorithm to obtain temperature stability and a gradual change time coefficient, and obtaining a heat dissipation coefficient in combination with the balance temperature; the sendible temperature is adjusted through the heat dissipation coefficient to obtain the adjusted sendible temperature, and the accurate sendible temperature is obtained by combining the sampling area position and the personn
AbstractList The invention relates to the technical field of data processing, in particular to a heating ventilation air conditioner automatic temperature adjusting system based on machine learning. The system obtains a temperature curve of a sampling area when the heating ventilation air conditioner works at a set temperature, and temperature values and area images of all local areas at the current moment; obtaining the balance temperature of the temperature curve, and further obtaining an ideal temperature curve of the sampling area; performing data fitting and analysis on the ideal temperature curve by using a machine learning algorithm to obtain temperature stability and a gradual change time coefficient, and obtaining a heat dissipation coefficient in combination with the balance temperature; the sendible temperature is adjusted through the heat dissipation coefficient to obtain the adjusted sendible temperature, and the accurate sendible temperature is obtained by combining the sampling area position and the personn
Author LI GUANGQIAN
HOU JUNLIANG
ZHANG WENBO
FU XIAOYU
ZHEN CE
HUCOT
WANG KUN
JIN QIHANG
ZHENG JICHUN
WANG PENG
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– fullname: LI GUANGQIAN
– fullname: HOU JUNLIANG
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– fullname: ZHENG JICHUN
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DocumentTitleAlternate 基于机器学习的暖通空调自动调温系统
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Snippet The invention relates to the technical field of data processing, in particular to a heating ventilation air conditioner automatic temperature adjusting system...
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SubjectTerms AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIRCURRENTS FOR SCREENING
BLASTING
HEATING
LIGHTING
MECHANICAL ENGINEERING
RANGES
VENTILATING
WEAPONS
Title Heating ventilation air conditioner automatic temperature adjusting system based on machine learning
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