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Method based on Internet of Things and machine learning and intelligent air conditioners

A technology of intelligent air conditioning and machine learning, applied in the field of air conditioning control, can solve problems such as energy waste, and achieve the effect of reducing energy waste

Inactive Publication Date: 2019-06-14
ZHENGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is difficult for air conditioners in different regions to work under air conditioner conditions during actual use, resulting in the fact that most of the air conditioners in actual operation work under non-design conditions, resulting in huge energy waste

Method used

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  • Method based on Internet of Things and machine learning and intelligent air conditioners

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] A customer in Jinshui District, Zhengzhou City purchased a smart air-conditioning unit (6-1). After the installer completes the installation, the customer needs to log in to the smart air-conditioning enterprise customer service system (1) of the smart air-conditioning company and register first. Basic information such as the location information of the customer's air conditioner installation, residence type, floor, and orientation.

[0045] Intelligent air-conditioning enterprise customer service system (1) automatically jumps to Henan Province (3-1) Zhengzhou City (4-1) Jinshui District (5-1) under the national geographical division of Central China (2-3), according to customer provided Basic information such as the location information of the air conditioner installation, residential type, floor, orientation, etc., and provide the best air conditioner operating parameters (the first air conditioner operating parameters in Henan Province (3-1) Zhengzhou City (4-1) Jins...

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PUM

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Abstract

The invention discloses a method based on the Internet of Things and machine learning and intelligent air conditioners. The intelligent air conditioners and the Internet of Things are combined, so that on the one hand, by dividing using areas of the air conditioners, various indoor environment parameters, various outdoor environment parameters and data of the other Internet-of-Things intelligent air conditioners are collected, operation parameters of all the air conditioners are reasonably counted and optimized, thus all the intelligent air conditioners can learn mutually and configure the optimal air conditioner operation parameters according to the Internet of Things; and on the other hand, the optimal air conditioner operation parameters can be updated irregularly, thus a reasonable working environment is set according to an actual regional environment, it is ensured that all the intelligent air conditioners work under the optimal working condition, and energy waste is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of air conditioning control, in particular to a method based on the Internet of Things and machine learning and an intelligent air conditioner. Background technique [0002] In the prior art, when the air conditioner is in use, there are certain temperature and environmental conditions, and it cannot work normally at any ambient temperature. When the ambient temperature deviates from the normal use range or use conditions, the air conditioner cannot work normally or the work efficiency is very low. Usually, the cooling capacity marked on the nameplate of the air conditioner by the air-conditioning manufacturer refers to the operating condition of the refrigerator under a specific working temperature condition, that is, the cooling capacity under the standard working condition. Air-conditioning manufacturers all use the test conditions of air-conditioning compressors (air-conditioning conditions) stipulated ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/56F24F11/64F24F11/77F24F11/84F24F11/86F24F11/871F24F110/10F24F110/12F24F110/20F24F110/22F24F110/30F24F110/32F24F120/10F24F120/20F24F140/12F24F140/20F24F140/50
CPCY02B30/70
Inventor 曹仰杰周志一林楠刘畅李昊
Owner ZHENGZHOU UNIV
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