Radio Navigation Algorithms for Tasks of Industrial Internet of Things

Increasing the bandwidth of modern cellular communication devices opens up new opportunities for automation and control of industrial processes. The minimization of wireless data transmission devices and data processing conducted with the help of cloud technologies and plant digitalization algorithms allows increasing the efficiency, safety and environmental friendliness of production devices. The integration of network technologies into data collection systems and cloud management of the actuator system is one of the steps towards the creation of Industry 4.0 systems where management and decision-making processes are conducted with the help of artificial intelligence algorithms. Determining the location of systems, devices and their nodes during the technological process implementation is an important task that becomes especially relevant with the introduction of robotic unmanned systems into technological processes. This paper discusses the possibilities of using navigation algorithms for the tasks of the industrial Internet of Things related to indoor navigation. The main areas of use of navigation tools are analyzed, as well as methods for integrating radar and radio navigation algorithms into the systems of Internet of Things and industrial Internet of Things. During the work, a robotic plafthorm with a naviagtion system, controlled via a cloud service, was developed and tested. At the same time, the methods of primary signal processing are considered to reduce the impact of fluctuations and interference in the system to the minimum. The experimental data obtained on a full-scale mock-up showed the effectiveness of the applied algorhithms.