Design and implementation of pollution monitoring system in waterway area based on bionic robotic fish

Jianan Luo; Zhaoyan Qian; Lijiang Gui; Mingrui Zhang; Xiongfei Geng

doi:10.1117/12.2653121

6 September 2022 Design and implementation of pollution monitoring system in waterway area based on bionic robotic fish

Jianan Luo, Zhaoyan Qian, Lijiang Gui, Mingrui Zhang, Xiongfei Geng

Proceedings Volume 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022); 123320G (2022) https://doi.org/10.1117/12.2653121
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022, Chengdu, China

Abstract

Tourist waterway have high requirements for water quality. Aiming at the large AUV equipment can not meet the needs of lake reservoir area, a portable small underwater robotic fish system is developed. The system consists of underwater robotic fish and shore remote monitoring and data analysis system. The underwater robotic fish has the ability of long time endurance, automatic navigation, pollutant detection and source determination, video acquisition and automatic defogging; The onshore remote monitoring and data analysis system can monitor the underwater operation of robotic fish in real time and carry out three-dimensional visual analysis of the collected data. The system has been tested and applied in Cao’e River, China, which realizes the automatic detection of water quality and provides an effective means for pollution control.

Citation Download Citation

Jianan Luo, Zhaoyan Qian, Lijiang Gui, Mingrui Zhang, and Xiongfei Geng "Design and implementation of pollution monitoring system in waterway area based on bionic robotic fish", Proc. SPIE 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 123320G (6 September 2022); https://doi.org/10.1117/12.2653121

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KEYWORDS

Robotics

Pollution

Biomimetics

Sensors

Global Positioning System

Telecommunications

Nitrogen

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