CURRENT STATE OF DEVELOPMENT OF INTELLIGENT INFORMATION AND MEASURING SYSTEMS FOR ENVIRONMENTAL MONITORING WITH MULTISENSOR CONFIGURATION
DOI:
https://doi.org/10.35546/kntu2078-4481.2022.2.7Keywords:
multisensor, wireless sensor, multisensor monitoring system, smart home, artificial intelligence, artificial neural network, IoTAbstract
The paper presents an analysis of literature sources (literature review) on the use of methods and means of intellectualization of information-measuring systems with multisensor configuration. The need for continuous monitoring of quality of life parameters in real time involves the use of low-cost information and measurement monitoring systems based on IoT. Each device has a unique identification and the ability to autonomously collect data in real time. The basic building blocks of IoT consist of sensors, processors, gateways and applications. Information – measuring systems perform the functions of control and regulation in the house – lighting, temperature, security, acoustics, fire safety. In this situation, a smart home resembles an ecosystem controlled by a central “brain” and controlled by a smartphone. To control the security of the house – on the transition to the fire detection system, unauthorized intrusion, using several technologies based on social networks. To control the parameters favorable for the growth of plants in greenhouses, and to ensure maximum yield of fruits and flowers, soil temperature and humidity, air temperature and humidity, carbon dioxide (CO2) content in the air and lighting intensity are monitored. Fuzzy logic ensures high accuracy of data acquisition. The process establishes a connection from the mid-range and sends a message in a short period of time to the smartphone to notify about certain situations. This system can also be used for surveillance by changing the BLE module to a GSM module and changing some operators, especially the AT command. Also discussed is the architecture of multi-sensor data fusion is one of the key challenges in designing a multi-sensor system. The emergence of systems with a large number of sensors, such as the Internet of Things, can introduce novelty to this well-studied topic. In this study we consider three aspects of MSDF architecture: classification, optimal selection and standardized presentation. Based on the analysis, we propose our own structural and architectural solutions for similar multi-sensor systems.
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