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Water pressure and flow field information detection method of underwater bionic lateral line 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 few products and less research, so as to improve the accuracy and range, and improve the prediction accuracy. , improve efficiency and intelligent effect

Active Publication Date: 2021-05-28
XI AN JIAOTONG UNIV
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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 sense underwater water pressure and flow through the bionic principle. At present, the neuromast bionic sensor of the lateral line tube There are few systematic studies and few products of this type

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  • Water pressure and flow field information detection method of underwater bionic lateral line based on neural network
  • Water pressure and flow field information detection method of underwater bionic lateral line based on neural network
  • Water pressure and flow field information detection method of underwater bionic lateral line based on neural network

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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...

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Abstract

The invention discloses a neural network-based detection method for underwater bionic lateral line water pressure and water flow field information, using MEMS sensors to collect underwater water pressure and water flow information, and establishing a database for water pressure and water flow data corresponding to vibration sources at different positions , carry out deep learning through the deep neural network, train the vibration source position identification model, and finally use the trained model to achieve the effect of identifying the position of different vibration sources, realize the target recognition and positioning ability of underwater robots, and provide marine Probing provides a new way of thinking and approach.

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 areas. 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

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Application Information

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Patent Type & Authority Patents(China)
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
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