Mixed approach for synthesizing machine learning digital ecosystems

The article discusses new methods for synthesizing digital environmental monitoring systems using machine learning methodology. The authors propose an application of mixed hardware and softwarehardware approach to the implementation of relay-contactor logic, which expands possibilities of monitoring and support of decision-making in relation to components of information-measuring systems. The article shows the importance of using MS triggers and logistic regression in analyzing the stability of the sensors and monitoring their characteristics, investigates the role of schematic engineering components proposed for implementation in environmental monitoring systems. Special attention is paid to the specifics of the analysis of already measured data, the memory device of information and measuring systems.