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Research On The Multi-sensor Detection And Control System Of Rescue Robots

Posted on:2015-12-02Degree:MasterType:Thesis
Country:ChinaCandidate:H WangFull Text:PDF
GTID:2298330467455407Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
Rescue robot is a kind of half smart robot which can move autonomously, it can do surveyand detection and do timely treatment on site to the emergencies in more complex scene anddangerous environment instead of people., it can effectively improve the rescue workefficiency, and at the same time can reduce unnecessary casualties brought by the rescueworkers entering the danger zone. Moreover, it can also timely feedback the situation on siteto the rescue headquarters, so that the headquarters can know about the disaster scenesituation in the first time, in this way they can make reasonable judgment and rescue plan tosave rescue time, guarantee personnel life safety and minimize economic property losses. Thispaper has designed a whole set of rescue robot measurement sensor system on the researchbackground of rescue robot. The major work is as follows:Firstly, it is the hardware platform design of the rescue robot hardware platform includesmain control chip, drive motor, sensing detection system, remote signal transmission module,etc. The ATmega128is used as the main control chip of rescue robot to control and deal withthe information collected by each sensors;37GB-500type permanent magnet DC gearmotor is used as drive unit of the robot moving; Sensing detection platform includes sensorsfor measuring distance, sensors for detecting life characteristics, and sensors of other type todetect the rescue, scene. Finally, the hardware modules construction of the rescue robot iscompleted.Secondly, the design of rescue robot software platform. Software modules include sensingdetection module, image acquisition, communication interface, GPS module and interactiveinterface, in which ultrasonic ranging and temperature and humidity sensors are softwareprogrammed and debugged. Interactive interface designs camera video displayed andcontrolled, environmental information displayed and mobile robot obstacle avoidancecontrolled by labview.Thirdly, the design of information processing and path planning system. Informationfusion using fuzzy inference fusion method, path planning using the grid method and artificialpotential field method combined. The last, this article has simulated obstacle avoidance ofrescue robot and has analyzed simulation results, the results proved the feasibility of thismethod...
Keywords/Search Tags:Rescue robot, sensor, robot obstacle avoidance, information collection
PDF Full Text Request
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