Intelligent positioning system and method for sampling position of rubber product based on big data

The invention discloses a rubber product sampling position intelligent positioning system and method based on big data, and relates to the technical field of automation, and the method comprises the steps: collecting the feeding position data of rubber products, analyzing the distribution state of the rubber products according to the feeding position data of the rubber products, and determining a material distribution hot spot area; material distribution hot spot fuzzy positioning coordinates are obtained, the global coordinate position of the mechanical arm, the global coordinate position of the mechanical arm and the material distribution hot spot fuzzy positioning coordinates are obtained, and the fuzzy positioning coordinate position of a material distribution hot spot area is marked as the relative coordinate position of the mechanical arm; and according to the material distribution hot spot areas corresponding to the relative coordinate positions of the mechanical arm, the efficiency index of each mater