Development of models of electrical systems based on wireless electrical devices
DOI:
https://doi.org/10.31548/Keywords:
electrical system, intelligent greenhouse, wireless electrical devices, modeling, Home Assistant platform\Abstract
The relevance of developing models of electrical systems based on wireless electrical devices is due to the fact that digital technologies are now a kind of integration platform for the interaction of various system components. The purpose of the study is to demonstrate the use of digital technologies based on wireless electrical devices that provide the development of electrical systems for electricity consumption in agricultural production.
A model of the greenhouse electrical system was selected for the study. A scheme of an experimental installation was developed, the basis of which was the specialized Wi-Fi module Node MCUv3. During the study, the technical capabilities of the main brands of modern smart devices were analyzed and the intelligent control platform “Home Assistant” was selected, which was deployed on a server (mini-computer) through a special tool (virtual machine) – Virtual Box. It was found that this platform makes it possible to create automation of response to functions (entities) that represent events (including virtual ones), states or information parameters.
A study of the use of Home Assistant for centralized control of wireless devices from different manufacturers was conducted. The most convenient approach was when electrical systems are controlled from a single interface, where automatic control of the greenhouse electrical system model by humidity level in the form of a virtual hygrostat was practically demonstrated.
The proposed model solves a number of problems that will enable the development of electrical systems based on Home Assistant in the future. In particular: free service and integration of different manufacturers of wireless devices; a completely local solution (from one place); the ability to send push messages to a smartphone or control from a Web interface.
Recieved: 29.03.2026. Recieved: 01.06.2026. Accepted: 22.06.2026
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