DECISION-MAKING METHOD FOR TEMPERATURE CONTROL IN THE SMART HOME

T. Hovorushchenko, Sergii Aleksov, Yurii Popov, Vyacheslav Bachuk
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Abstract

The current challenge is to provide automatic decision support in a smart home. A study of the top solutions of well-known smart homes has shown that existing solutions usually do not provide for fully automatic control in a smart home, but are focused either on automatic control in conjunction with manual control or user-controlled control. Therefore, the goal of this study is to support decision-making for fully automatic temperature control in a smart home. Human well-being and performance depend on the meteorological conditions of the environment in which a person is located. The most important condition for high performance, rest, and health is the creation and maintenance of an optimal home microclimate. One of the main parameters of the indoor microclimate is temperature. The room temperature control subsystem ensures the optimal temperature level and allows for individual adjustment for each family member. The developed rules for determining the optimal room temperature allow you to evaluate the existing temperature parameters for further automatic operation of the smart home temperature control subsystem in residential premises of various types. The purpose of the temperature control subsystem is to provide comfortable conditions in residential premises of various types in terms of their temperature regime. The developed decision-making method for temperature control in a smart home, which is the basis of the smart home temperature control subsystem, provides a comfortable and optimal (taking into account building and sanitary and hygienic standards) temperature in the corresponding living space. The results of the functioning of the smart home temperature control decision-making method have shown that the developed method provides for the recognition of situations (optimal temperature, low temperature, high temperature) and support for decision-making on the temperature regime in a certain type of residential space (turning on heating devices, turning on cooling devices, no action, etc.).
智能家居温度控制的决策方法
当前的挑战是如何在智能家居中提供自动决策支持。对知名智能家居顶级解决方案的研究表明,现有解决方案通常无法实现智能家居中的全自动控制,而是侧重于自动控制与手动控制或用户控制相结合。因此,本研究的目标是为智能家居中的全自动温度控制提供决策支持。人类的福祉和表现取决于所处环境的气象条件。创造和维持最佳的家庭微气候是实现高效能、休息和健康的最重要条件。室内微气候的主要参数之一是温度。室温控制子系统可确保最佳温度水平,并允许对每个家庭成员进行单独调节。根据已开发的最佳室温确定规则,您可以评估现有的温度参数,以便在各种类型的住宅中进一步自动运行智能家居温度控制子系统。温度控制子系统的目的是为各类住宅提供舒适的温度条件。所开发的智能家居温度控制决策方法是智能家居温度控制子系统的基础,可为相应的居住空间提供舒适的最佳温度(考虑到建筑和卫生标准)。智能家居温度控制决策方法的运行结果表明,所开发的方法可以识别各种情况(最佳温度、低温、高温),并支持对某类居住空间的温度制度进行决策(打开加热设备、打开冷却设备、不采取行动等)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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