Water surface cleaning robot salvage system based on Aliyun and convolutional neural network algorithm

Abstract

The invention discloses a water surface cleaning robot salvage system based on Aliyun and a convolutional neural network algorithm, the systemcomprises a ship body, a propeller is arranged on the rear side of the ship body, the propeller is driven by a propeller motor arranged at the bottom of the ship body to rotate, and a garbage transfer belt driven by a power system arranged on the ship body is arranged on the front side of the ship body. A garbage collecting bin is arranged in the middle of the ship body, a garbage conveying belt is obliquely arranged, the lower end of the garbage conveying belt is located below the water surface, and the upper end of the garbage conveying belt is arranged in the garbage collecting box. By arranging the blocking device and the air pumps arranged on the two sides of the ship body, efficient salvage can be conducted in a severe water area with many aquatic plants, the left and right collection expansion nets are matched, the garbage collection amount each time can be increased, and the situation that garbage cannot be salvaged smoothly due to outward water flow generated in the advancing process is prevented. Besides, the robot system is arranged on the ship body, so that garbage, aquatic plants and other sundries on the water surface can be rapidly recognized and rapidly get close to achieve salvage.

Description

Technical field [0001] The present invention relates to the technical field of water surface garbage cleaning, in particular, a water surface cleaning robot salvage system based on Alibaba Cloud and Convolutional Neural Network Algorithm. Background technique [0002] With the increasing level of people's living standards, environmental issues are also increasingly serious, especially water pollution issues, which have implemented each area, making it more important to protect and cleaning the waters, and need a device to help people. Complete the protection of water resources. At present, the market is mainly organically salvage. This traditional salvage is high, the efficiency is low, the work environment is poor; after the salvage of boat, the environment is low, if the hull moves close to garbage, produce outward water flow, It causes the garbage to be far away from the hull to float. Second, in a wide variety of water, due to the joint resistance of water, the boat is open t...

AI Technical Summary

Problems solved by technology

At present, manual salvage is mainly used on the market. This traditional salvage method has high risks, low efficiency, and poor working environment. The second is salvage ship salvage, which has low efficiency in dealing with harsh water environment. For example, when the hull moves close to garbage, outward water flow is generated. Cause garbage to appear floating away from the hull and difficult to salvage

Secondly, in waters with a lot of aquatic plants, due to the connection of aquatic plants, the aquatic plants will continue to gather and entangle when the boat sails into it, which is prone to the problem of the oars being stuck, which eventually leads to low salvage efficiency

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