smart home

Mobile Application Interface for Device Management in the Smart Household System

The article analyzes the features of the development of a complex information system called Smart Household, aimed at automating and improving the implementation of a wide variety of functions in a multi-disciplinary modern household, in particular, such as care for domestic animals, a garden, home territory, etc. The use of an effective mobile interface in this kind of system will allow household owners to monitor and control remotely a lot of useful functions using a mobile phone or a tablet.

A computerized energy management system for a smart home

This work is devoted to the study of Smart Home systems based on the development of an energy optimization system for a smart home and based on various wireless communication protocols. The paper considers the construction of a home monitoring and control system based on the latest Bluetooth Low-Energy protocol using modern technologies. A device for monitoring and controlling electrical appliances, which is an element of this system, is proposed. The proposed architecture has advantages over other existing systems: reliability, performance, ease of deployment, and management.

Microprocessor Subsystem of the Smart House to Control the Multichannel Irrigation of the Room Plants

This article develops the principles of building an intelligent home microprocessor subsystem to control the multi-channel irrigation of houseplants. The relevance of this topic has also been substantiated. Currently, there is a small number of devices in demand with a comfortable user interface and timer, which allows to adjust the watering at any time of day. The advantages over other available analogs and the need to create a customized system have been investigated.

Estimation of Effective Thermal Parameters of Heating Sources Based on Dynamic Measurements in Smart Home

This work is devoted to the method of determining the effective thermal parameters of heating sources in a smart home, which involves a combination of algorithms for data analysis and the equation of the physical process of heat transfer. The use of such parameters allows one to create software and hardware solutions for modeling the thermal map of the house, as well as to analyze energy consumption using the machine learning models.