An underwater ecological monitoring ship based on artificial intelligence recognition

Abstract

The invention discloses an underwater ecological monitoring ship based on artificial intelligence identification. The machine hull, winch, winch drive motor, data cable, camera sensor crane, ship-borne artificial intelligence computer, motor driver, temperature sensor, The pH sensor and camera can quickly identify the species and quantity of underwater animals and plants for big data collection and storage analysis, so that the monitoring of water body ecology is more scientific and evidence-based; The detection direction of the camera is adjusted, and on the premise of ensuring convenient and fast steering, the observation field of view can be fine-tuned, which can improve the flexibility and accuracy of underwater ecological detection work, make underwater detection work more efficient, and further improve Work efficiency and work quality of underwater ecological detection.

Description

technical field [0001] The invention relates to the technical field of robots, in particular to an underwater ecological monitoring ship based on artificial intelligence recognition. Background technique [0002] 3D printing (3D printing, also known as additive manufacturing, layered manufacturing) is a technology based on digital model files, using bondable materials such as powdered metal or plastic, to construct objects by layer-by-layer printing. This technology was first proposed by the United States in the mid-1980s; 3D printing is often used to manufacture models in the fields of mold manufacturing and industrial design, and then gradually used for direct manufacturing of some products. It is a representative subversive technology in the manufacturing industry; 3D printing technology appeared in the mid-1990s, and it is actually the latest rapid prototyping device using technologies such as light curing and paper lamination; it is different from ordinary The working ...

AI Technical Summary

Problems solved by technology

[0003] For water body ecological monitoring, it is not only the monitoring of water quality, the status of underwater ecology can better reflect the overall quality of the current environment. How to efficiently monitor the species identification of fish, shrimp, shellfish, crabs and other animals and underwater plants contained in a water body environment is a problem. It is not a small challenge, and the work efficiency of the ecological monitoring of the water body is low in the prior art, and the labor intensity of the staff is high. Therefore, the present invention proposes an underwater ecological monitoring ship based on artificial intelligence identification to solve the above problems

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