METHOD FOR ENSURING FAILURE-RESISTANT REMOTE CONTROL OF INTELLIGENT SYSTEMS IN THE LIVING ENVIRONMENT BASED ON MOBILE PLATFORMS
Abstract
The main objective of the research is to justify and develop a method that ensures the complete functional autonomy of local home automation systems. The work is aimed at creating an architecture that retains the ability to control lighting, heating and security even in the absence of external communication channels and in the event of a centralised power supply failure, which is a critical shortcoming of modern cloud-based IoT solutions. The methodological basis of the research is the conceptual transition from the traditional cloud model to the fog computing paradigm. For practical implementation, a local server based on a Raspberry Pi 3B+ microcomputer was selected, which functions as a message broker using the MQTT protocol. The technical solution includes the use of a split-power supply circuit from an uninterruptible power supply (UPS) to eliminate energy losses due to double conversion. The software component is implemented in C++ to ensure low-level interaction with the GPIO interface, whilst the client mobile application is built on the Flutter platform using the ‘Local-First’ principle and the SQLite database for reliable local caching of information. The scientific novelty of the results lies in the development of a hybrid method for organising information exchange and power supply in intelligent systems. The proposed approach combines decentralised data processing on a local Edge gateway with direct DC power supply to actuators. This eliminates critical dependence on external cloud providers, removing the ‘single point of failure’ inherent in most existing commercial automation systems. The results of practical testing of the developed system demonstrated its high operational reliability and stability. It has been established that the system retains full controllability in critical scenarios involving simultaneous power failure at the facility and loss of internet connection. Localisation of the communication core has reduced the system’s response time to commands to a range of 5–10 ms, whilst also ensuring a high level of confidentiality, as the user’s personal data remains physically within the local network of the residential premises
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