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AIR-CONDITIONER OF PREDICTING AIR CONDITIONING LOAD BASED ON ARTIFICIAL INTELLIGENCE CLOUD SERVER AND METHOD OF OPERATING THEREOF

机译:基于人工智能云服务器的空调负荷预测方法及实现方法

摘要

The present invention relates to an air conditioner for predicting an air conditioning load based on artificial intelligence, a cloud server, and an operation method of the air conditioner. According to an embodiment of the present invention, the air conditioner can calculate at least one parameter at a point before the air conditioner reaches a target set temperature in a high-speed operation mode set for the air conditioner to reach the temperature, and can control an outdoor unit in accordance with operation mode information in a proper operation mode after the high-speed operation mode by using the operation mode information calculated based on the parameter.
机译:本发明涉及基于人工智能的空调负荷预测用空调机,云服务器以及空调机的运转方法。根据本发明的实施例,空调可以在为空调设定为达到温度的高速操作模式下在空调达到目标设定温度之前的点计算至少一个参数,并且可以控制通过使用基于该参数计算出的操作模式信息,在高速操作模式之后的适当操作模式中,根据室外模式的室外单元。

著录项

  • 公开/公告号KR102029250B1

    专利类型

  • 公开/公告日2019-11-29

    原文格式PDF

  • 申请/专利权人 LG ELECTRONICS INC.;

    申请/专利号KR20180117641

  • 发明设计人 YUN SIK PARK;

    申请日2018-10-02

  • 分类号F24F11/65;F24F11/58;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:08:33

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