Year: 2024
Type: conference-paper
Abstract: The article presents a platform for predicting failures in a smart home. A detailed algorithm of the predicting platform has been described. An algorithm for integrating the fault prediction platform into the smart home system has been developed. An algorithm for the functioning of a smart home with a failure prediction program based on machine learning has been presented. The software has been developed using the JHipster1 generator and the Java programming language. The use of machine learning methods in a smart home system expands its ability to analyze large amounts of data and identify patterns that may precede failures. This allows the system to predict possible problems and respond to them in advance. The use of preventive measures allows the system to automatically take measures to avoid failures, such as automatically adjusting the operation of devices or performing backups based on predictions.
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7166346367