Metal heat treatment system based on the use of a cluster of networked industrial sensors

The features of the development and use of a multiprocessor computing system together with a cluster of network sensors for modeling heat treatment conditions of metal workpieces are considered. The main goal of the study is the cluster integration of industrial sensors for continuous monitoring and control of metal temperature conditions in various areas of the production process. It is proposed to connect a cluster of sensors to a modular multiprocessor system in order to increase the speed and performance of calculations, which helps to increase the efficiency of managing technological operations. In this case, the data from a network of sensors combined into a cluster are used to monitor the temperature conditions of the metal.