Safety Management Problems of Chemical Plants

The object of research is a system analysis of chemical production facilities as objects of technological hazard and the use of modern information technologies and software for managing safety in the chemical and related industries. A study was conducted to develop deep learning algorithms for analysis and comparison of their effectiveness with other classifiers based on machine learning algorithms, the architecture of a convolutional neural network and a recurrent neural network with LSTM blocks was implemented, and a comparison was made of the qualitative indicators of their classification with other classifiers. The proposed intellectual safety management system for chemical production minimizes the possibility of explosions, fires and other accidents, as well as the effects of harmful factors on the operator.