ABOUT MOBILE SYSTEM ORGANIZATION OF SITUATION MONITORING BASED ON WHEELED ROBOTS
Journal Title: Наукові праці. Серія "Комп’ютерні технології" - Year 2017, Vol 307, Issue 295
Abstract
The task of monitoring situations at dispersed objects using intelligent information technologies is considered. Monitoring is per-formed using mobile devices (wheeled robots), which are equipped with several sensor systems, a microprocessor, a wireless Wi-Fi communication system and are able to move to a site where the situation is of interest at the current time. The main approaches to the control of the wheeled robot used as a mobile component of monitoring the situation using the technology of "smart machines" are considered. Control of movement along a predetermined trajectory is possible using following control methods: direct program-ming control; programming control with feedback, program control with feedback, supplemented by a system of adaptive choice of options and contextual situational control. Two variants of the hardware and software implementation of the complex task are pro-posed: control of the movement of the wheeled robot in the obstacle space along a given route and processing of multisensory data in real time with the subsequent transmission of data over the wireless communication lines. The configuration of sets of computing, communication and sensory equipment based on Arduino and Raspberry Pi is presented for the complex solution of the task of mo-bile monitoring of the situation in real time. The results of testing the mobile monitoring system are discussed on the example of a room with a well-known plan. During testing different routes of robot travel were considered. The situation was tested when a par-ticular room created a high temperature and gas contamination. On the route there was a static obstacle. The proposed hardware solutions allow the implementation of models for mobile monitoring of the situation - moving from a park position to a room, moni-toring the environment by measuring temperature, humidity, light and smoke, and wirelessly transmitting sensory data. The model based on a single-board computer Raspberry Pi 2 additionally supports video surveillance - broadcast video in real time.
Authors and Affiliations
V. А. Dodonov
Keywords
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