APPLICATION OF THE PROCESS OF DATA AGGREGATION BASED ON SENSORS IN THE TASKS OF ENVIRONMENTAL MONITORING AND INDICATOR CONTROL OF PRODUCTION PROCESSES

Abstract

Within the framework of this study, engineering approaches to the application of environmental monitoring systems and control of production processes based on data aggregation processes (DAP) and the use of data aggregation systems (Data Aggregation System, DAS) were considered, as well as consideration of possible ways of designing such systems .

The purpose and tasks of modern environmental monitoring are to create the foundations for environmental protection and the formation of a complete and harmonious system of "man-nature". These tasks are implemented using environmental monitoring systems and geographic information systems (GIS) and include the following stages: collection, storage, processing and display of measurement and monitoring data. Data aggregation and filtering processes can take place at each of these stages, in accordance with given algorithms. The information control procedure (in the case when the production process is the object of the research) includes the transfer of indicators of the state of the researched object in measurement units of the measurement scale by means of IBS and compliance of the measurement information with the normal course of the production process in accordance with the technical conditions (TU).

An important property of systems for environmental monitoring or control of production processes is the provision of the function of measurement control, which especially applies to real-time systems and express diagnostics of selected environmental indicators, for which various mechanisms are used within the framework of the data aggregation process (Data Aggregation Processes, DAP). Data aggregation, in a broad sense, is a multi-stage process of collecting, processing, saving and reproducing information, which imposes certain requirements on IS and IBS regarding the architecture of such a system and its filling with constituent elements. Attention is paid to the structure of IBS from the software and hardware parts, structural levels represented by software tools for solving specialized tasks, data processing methods at each level and typical input data formats are considered. The main ways of forming a sensor network of IBS for environmental monitoring and control of production processes are considered. The importance of the correct selection of aggregate functions and taking into account the time parameters of the DAP process depending on the type of input data and the structure of the lower levels (hardware and software) of such an IBS is shown.

Approaches to the application of REST API (Representational State Transfer) request generation technology, within the framework of IBS environmental monitoring and control of production processes for the formation of distributed systems based on IBS are considered.