Simulation modeling of gas exchange processes based on physical factors and effects with the implementation that uses big data analysis methods

Abstract

The paper presents models that allow calculating and optimizing decompression parameters based on the physical description of gas exchange processes. The main feature of the work is the correction of the known tabular data not only based on the user’s decision, but also using physical models that describe a gas exchange in the body. This can significantly improve the quality of decompression planning. The result is achieved since the difference in decompression processes is primarily described not by physiological, but by physical factors. The work presents a detailed diagram of the modules included in it, describes the principles of their functioning. The following modules are described: a heat loss module, a gas exchange module, a module for optimization of decompression profiles, a microbubble corrections module, a decompression prediction module that calculates decompression risks based on a distributed analysis and data processing. The decompression risk prediction is based on the calculation of the critical safety level, for which a distributed analysis and data processing technique has been created. The implementation of this technique allows forming a detailed idea of the possibilities of its use in other subject areas.