A Method for the Camera-less Remote Surveillance on Hydraulically Actuated Heavy Equipment Using IoT Environment

Abstract

The paper considers the proposed method for the camera-less remote surveillance on hydraulically actuated heavy equipment. The method uses the data about the pressure and position of hydraulic actuators as an input. These data are transmitted over the internet in the Internet of Things (IoT) environment to the IoT cloud computing platform. A simulation model consisting of hydraulic and multibody dynamics submodels composes the digital twin of the machine under surveillance. This digital twin is maintained and calculated in the cloud. It reproduces the movements of the machine and calculates the forces acting in it. Together with the GPS coordinates, these data provide the full information on the machine operation. As a result, the productivity of the machine can be estimated, the misuse can be detected, and the load history can be gathered in order to estimate the remaining life of the machine or to plan the maintenance activities. The influence of the sensor accuracy on the simulation results is evaluated. The experimental results are presented that verify the feasibility of the proposed method on the example case of hydraulic mobile crane.