DEVELOPMENT OF AN INFORMATION MODEL FOR ECOSYSTEM MONITORING

Abstract

Goal. Development of an information model for monitoring ecosystem data obtained from facilities to identify deviations from the standard, in real time, at a distance and make decisions to eliminate them

Methodology. The development of the system was based on the Minimum viable product with minimal functionality. and the minimum cost of resources. The concept of system development is considered on the example of a reasonable dormitory, where one of the components of the system is the Internet of Things technology, in which different device connect to the Internet and interact with each other. The sensors allow the device to send data to a computer program that will collect and analyze it. This will allow you to effectively identify the problem in the event of deviations from the standard during the operation of s and will facilitate the prediction of possible accidents, malfunctions and their elimination.

Results. Based on the analysis of the characteristics of microcontrollers and sensors, a wireless communication module installed in the device of the monitoring system was selected, and types of sensors were selected for collecting and further analysis of ecosystem indicators The structural elements of the subsystem and the code for the example of the board for the sensor have been developed. To implement the task, the open programming language Processing and development tools were chosen that would satisfy all the requirements and have the necessary functionality. TelegramBot was chosen as the interface for the ecosystem's automated storage database concepts. To connect hardware devices, APIs and Internet services, Node-RED was chosen as the programming tool. To write the bot, the RedBot package for NodeRED was used.

Scientific novelty. An original solution is proposed for the development of an information model of ecosystem indicators in premises based on the element base of the selected monitoring module, communication protocols and an interface for interacting with the user through a chat bot.

Practical significance. The system was tested on data obtained in the hostel KNUTD in may 2021. This environment is hosted on Amazon Web Services (AWS) EC2

The test results showed the system's operability, the ability to receive and analyze information in real time and quickly respond to dangerous situations. All this will improve the life of students in the hostel and ensure themselves and their health from the influence of negative factors.