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Study on Using Design Circuits to Implement a Mobile Robot Systems for Monitoring and Control

Changgeng Yu,Xiangxu Xie,Fulian Li

2016 · DOI: 10.2991/MCEI-16.2016.196
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TLDR

This paper presents the design and implementation of a mobile system with wireless for remote monitoring and control, composed of a multiple sensors, a control board, a camera video capture and a wireless communication module.

Abstract

The mobile robot system can actually be applied to some of the places reconnaissance and monitoring, and the use of wireless networks, making the operating system more flexible, so that movement of the machine by monitoring and investigation without the shackles of cable. In this paper, we present the design and implementation of a mobile system with wireless for remote monitoring and control. It was composed of a multiple sensors, a control board, a camera video capture and a wireless communication module. The robot prototype was manufactured and experimented. Experiment results of typical cases verified its flexibility and reliability. Introduction With the progress of science and technology, mobile robot for monitoring are palying more and more important roles[1]. A wide range of automation, control equipment and other equipment for centralized interconnected has become a trend in many field, such as factory automation, machinery, and manufacturing, if use of Internet technology and processing equipment, robotics, control systems, and on-site linking, you can achieve Internet environment automation[2]. Undoubtedly, the robot control and network technology will have a very important theoretical significance and wide application prospect. Classical control theory, we know that the basic control system typically comprises modules, such as information detection module, the controller module, and actuator module. These key module state is directly related to the effectiveness and stability control systems. With the increasing level of multi-functional smart device technology, more and more enterprises, the company began research and design of intelligent robot platform, with further research, greatly accelerated the pioneering research in the field of multi-directional intelligent robot devices. Self-localization is a basia issue in the mobile robots[3-7]. As the diversity of monitoring mobile robot module. By installing different hardware sub-module, one can save costs, on the other hand can make the model of refining. In order to improve the degree of artificial intelligence of the mobile robot, and can respond quickly in the implementation process given the task order, then the mobile robot has a necessary prerequisite is to have the ability to carry different types of sensor functions. Mobile robots get information from the sensor, and its data is processed in the microcontroller through the relevant algorithm after obtaining the policy, then the appropriate action to achieve through the implementation of the module [8]. Through the modular structure of the hardware was designed, according to the actual situation of need, ready to install sensors to achieve the different functions and monitoring mobile robot has wireless network communication capabilities. In order to monitor real-time health of the mobile robot, and the need to move the robot status information and run dynamic information, including road run dynamic status, motor information, servo information, speed information, etc. sent to the host computer, in order to obtain these useful Real-time monitoring of running status information to the mobile robot, while the host computer can control the operation of the mobile robot, such as acceleration, change of direction, set various parameters related to the mobile robot to achieve manual control. A good, convenient, and user-friendly surveillance mobile robot allows us to gather critical data in a timely manner, and the data necessary processing. 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016) Copyright © 2016, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 130