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In order to solve the problem of autonomous movement of intelligent picking robot, a method for big data analysis is proposed. The data collected by laser ranging sensor, CCD camera and electronic compass are analyzed to determine the current robot position and heading. The walking route for the robot is preset of the orchard. The sign for the digital tube is installed, so the coordinates for the sign are known. Electronic compass is used to determine the heading angle of robot. The CCD camera captures the sign image, and adopts the methods of image graying, image segmentation, image corrosion and image thinning to extract the digital tube image data on the sign. Fuzzy control method is used to identify digital tube numbers on the ground sign, and CCD camera scans whether there are obstacles in front of the road at the same time. The laser ranging sensor completes two tasks: ① detecting the sign distance and direction angle of the distance, and calculating the current position and heading angle of the robot through the coordinates of the sign; (2) detect the distance from obstacles, and start the obstacle avoidance system when it is less than 1m. The path planning system of picking robot based on big data analysis relies on a variety of sensors, and has a strong ability to perceive orchard environment, and it has high ability of path planning.

APPLICATION OF BIG DATA ANALYSIS IN PATH PLANNING OF INTELLIGENT PICKING ROBOT