Underwater bionic lateral line water pressure and water flow field information detection method based on neural network

A neural network and detection method technology, which is applied in the detection field of underwater bionic lateral water pressure and water flow field information perception system, can solve the problems of less research and few products, etc., to improve the accuracy and range, improve efficiency and Intelligent, achieve the effect of target recognition and positioning ability

Active Publication Date: 2018-07-20
XI AN JIAOTONG UNIV
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Fish and amphibians perceive various underwater environmental conditions through the lateral line underwater. Therefore, it is of great significance to use the lateral line system to sens

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
  • Underwater bionic lateral line water pressure and water flow field information detection method based on neural network
  • Underwater bionic lateral line water pressure and water flow field information detection method based on neural network
  • Underwater bionic lateral line water pressure and water flow field information detection method based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The invention provides a detection method for the underwater bionic lateral line water pressure and water flow field information perception system based on a deep neural network, using MEMS sensors to collect underwater water pressure and flow information, and aiming at the water pressure corresponding to vibration sources at different positions The water flow data is used to establish a database, and deep learning is carried out through the deep neural network to train the vibration source position identification model. Finally, the trained model is used to achieve the effect of identifying different vibration source positions, and the target recognition and positioning ability of the underwater robot is realized.

[0045] see figure 1 , the present invention is a kind of detection method of underwater bionic lateral line water pressure and water flow field information perception system based on deep neural network, comprising the following steps:

[0046] S1. Design a...

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 an underwater bionic lateral line water pressure and water flow field information detection method based on a neural network, and the method comprises the steps: collecting underwater pressure and water flow information through an MEMS sensor; building a database for the water pressure and flow data corresponding to the vibration sources at different positions; carrying outthe deep learning through a deep neural network, and training a vibration source position recognition model; finally achieving the recognition of different vibration source positions through the trained model, thereby achieving the target recognition positioning capability of an underwater robot, and providing a new thinking and solution for the marine detection of the civil and military robots.

Description

technical field [0001] The invention belongs to the technical field of underwater environment exploration, and in particular relates to a detection method for an underwater bionic lateral line water pressure and water flow field information perception system based on a deep neural network. Background technique [0002] In recent years, with the continuous attention of various countries to the ocean field, the research and development of the ocean and the water safety construction of national defense have been highly valued by scholars at home and abroad. Among them, underwater robots are a new type of ocean engineering equipment. , underwater surveys and other aspects have been widely used. And in these application fields. The identification and positioning of underwater targets is the foundation and guarantee of its work, so a new and effective underwater information perception system needs to be developed urgently. [0003] Fish and amphibians perceive various underwater...

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): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06N3/044G06N3/045G06F2218/04G06F2218/08G06F2218/12
Inventor 胡桥李一青王朝晖刘钰周文郑腾飞王斌
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap