Bulldozer sensing technique for the purpose of automation for bulldozer's workflow

Recently, global positioning systems - GLONASS and GPS are increasingly used for road construction machines. Often, mobile stations installed on the construction site are used, which increase positioning accuracy, but have a limited range. Providing a signal source to every running machine is very costly. Taking into account the often large length of construction sites, it is laborious to move the mobile station. It's also worth considering the insufficient positioning accuracy of these systems in some areas of the world.

The purpose of the research is to collect data on the parameters of working processes in dynamics to identify the working process of the bulldozer, assess the statistical characteristics of disturbing influences and confirm the mathematical models of the working processes of the bulldozer.

In the article, the authors propose a method for digitizing experimental data based on the provisions of the theory of random processes and digital signal processing. A technique for changing the sampling rate of measured signals while maintaining working signal, used to characterize measured process indicators, analyze dynamics and identify a bulldozer's workflow.