Supercharge Your Innovation With Domain-Expert AI Agents!

Marine garbage recovery path planning method and system based on bionic fish foraging

A path planning and path planning strategy technology, applied in the field of data processing, can solve the problems of optimization and learning, lack of effective planning, etc., and achieve the effect of high-efficiency cleaning and recycling

Pending Publication Date: 2022-01-28
GUANGZHOU UNIVERSITY
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing technologies are generally unable to achieve path planning specifically for their own tasks (that is, cleaning and recycling sea and water surface garbage). Some technologies only rely on the combination of mechanical devices and the Internet of Things to improve the efficiency of recycling and cleaning; although some technologies are automated, they contain The system cannot continuously optimize and learn according to its own and external conditions and target conditions, and lacks effective planning for its own actions; and most technologies, including the above technologies, do not take energy conditions well as a part of planning

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Marine garbage recovery path planning method and system based on bionic fish foraging
  • Marine garbage recovery path planning method and system based on bionic fish foraging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0052] Aiming at the problems existing in the existing technology, the present invention proposes an algorithm for recycling and cleaning up floating garbage in the ocean, combining reinforcement learning and imitating fish foraging for identification, perception and optimal path planning, under the premise of autonomous and automatic operation, The invention can also continuously perform iterative optimization according to external parameters and its own state, combine local path planning, and introduce energy and other factors as the influencing criteria of action decisio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a marine garbage recovery path planning method and system based on bionic fish foraging. The method comprises the following steps: acquiring a first recognition result of an obstacle and a second recognition result of a water surface floating object according to a simulated fish foraging organ; inputting the first recognition result and the second recognition result into a reinforcement learning network, and carrying out iterative learning, and generating a path planning strategy; and finally, determining a recovery path of garbage recovery equipment in combination with the motion risk coefficient and the energy condition coefficient of the garbage recovery equipment. According to the invention, marine floating garbage can be efficiently cleaned and recovered, and the method and system can be widely applied to the technical field of data processing.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and system for planning a marine garbage recovery path based on bionic fish foraging. Background technique [0002] With the development of society and the advancement of science and technology, the amount of floating garbage in the ocean is increasing, which affects the marine ecosystem that humans rely on for survival and development. It is the future development to replace inefficient manual cleaning with automatic and autonomous water surface garbage cleaning devices trend. Existing automated water surface garbage cleaning ships or systems are mainly composed of mechanical devices and Internet of Things devices. Through the combination of different mechanisms, modules, and devices, the floating garbage on the water surface (sea surface) is recovered and cleaned. Some of them are Combined with technologies such as automatic control, intelligent identification...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G05D1/02
CPCG05D1/0206
Inventor 刘长红林德裕林韦任蔡乾江沐鸿梁忠伟刘晓初
Owner GUANGZHOU UNIVERSITY
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com