Structural and algorithmic synthesis of intelligent commercial inspection of wagons

The article is devoted to the description of methods and algorithms for ensuring the reliability of the transportation process for goods and own empty wagons by rail in terms of intelligent commercial inspection of trains and wagons using digital technologies, and primarily neural networks. It contains description of a formal recurrent model, a task decomposition tree built according to an object-oriented and method-oriented principle, a description of autodiagnostic methods: weighing, zone control, laser scanning, neural network photodiagnostics, temperature control and radio frequency control. The architecture of built system and test results are also given.