MATHEMATICAL MODELING AND ALGORITHMIZATION OF TECHNOLOGICAL PROCESSES MONITORING FUNCTIONS BASED ON MULTI-POINT MEASURING SYSTEMS
The article presents the results of mathematical modeling and algorithmization of monitoring functions of technological processes based on multi-point measuring systems. When constructing the models, the technological parameters that affect the quality of the implementation of the main function of the control object and require measurement and control, including the concentration of substances and suspended particles, were taken into account. The analysis of the technological process presupposes a meaningful description of the object, which, in turn, can act as a technological control object when setting the task of automating the technological process of fuel combustion at thermal power plants. The transportation of flue gases and suspended particles into the atmosphere, accompanied by a change in the physical (temperature, velocity) and chemical (concentration of substances) parameters of gas flows, requires the introduction of continuously functioning operational diagnostic subsystems into the structure of the ACS, based on algorithms for processing and analyzing analog and discrete signals. Therefore, for hardware and software systems for automation of control and diagnostics using various criteria for measuring and recording data from sensors, an effective method of multipoint measurements has been developed based on a multiversion approach to the formation of measured parameters of the technological process. As a result of the analysis performed, the locations of the sensors for sampling are determined, as well as the number and relative locations of the measuring points. The resulting plan for the placement of the sensors of the multipoint measuring system makes it possible to implement multiversion voting in the formation of the resulting value of the measured parameters of the technological process, based on the receipt of the N-th amount of measured data. K-generalized quality criterion of the technological process is calculated by n-1 inputs.