DESIGN AND IMPLEMENTATION OF SMART HOME MODEL

Abstract

Urgency of the research. The expansion of smart home systems is slower than was expected. One of the biggest obstacles to the mass expansion of smart homes is the high price of devices commonly available on the market. Home automation is not sufficiently widespread among people, not only for the high price, but also because the available systems do not meet users' perceptions of how they should work and also due to users' fear of security risks. For these reasons, when designing a new smart home system, it is a good idea to perform the initial testing on the model. Target setting. Our goal was to design a model of the original low-cost smart home system, which would allow testing, tuning, and refinement of the home automation system before it is put into use. Such a model could also be used in the learning process, while students can test the proposed smart home systems on the model. Actual scientific researches and issues analysis. When designing the model and preparing this paper, we took into ac-count both current sources – publications and papers dealing with the current state of smart home systems as well as existing smart home solutions, which are widely available on the market. Uninvestigated parts of general matters defining. The implementation of the proposed model into real-life operation was not realized during the research for this paper. The research objective. The goal of the research was to model a low-cost, reliable, smart home system. The statement of basic materials. For effective research and solution of the task of smart home system is important to create adequate model, which copies a real smart home. For our solution we used a tiny and affordable computer Raspberry Pi3, which was connected through GPIO to external sensors for light, temperature etc., operation was performed in the Python programming language and for the creation of user interface was used Cayenne platform for Android-operated smartphones. Conclusions. Our solution implemented the Raspberry Pi microcomputer, which was connected with the external hard-ware. The outputs also included the creation of a physical model of the smart home system. Designed model can meet the savings, comfort and safety requirements of every household. The stability and functionality of the system designed for the model has been verified in a long-term testing. No errors in stability have been demonstrated.