Nghiên cứu, thiết kế và chế tạo tàu tự hành quan trắc môi trường nước trong nuôi trồng thủy sản=Development of autonomous surface vehicles for real-time water quality monitoring in shrimp ponds

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Tác giả: Phan Minh Hải Vũ

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Khoa học và Công nghệ (ĐH Công nghiệp TP. HCM), 2024

Mô tả vật lý: tr.68-79

Bộ sưu tập: Báo, Tạp chí

ID: 244532

Thêm vào giỏ

Nghiên cứu này phát triển một phương tiện tự hành trên mặt nước (Autonomous Surface Vehicle - ASV) nhằm nâng cao hiệu quả giám sát chất lượng nước trong các ao nuôi tôm. ASV được thiết kế cơ khí bằng phần mềm NX, kiểm tra động lực học qua mô phỏng trên Matlab và chế tạo mô hình bằng công nghệ in 3D, hướng đến tối ưu hóa hiệu suất và độ tin cậy. Thiết bị này được trang bị cảm biến định vị toàn cầu (GPS) và cảm biến siêu âm, giúp ASV tự động định vị, tránh chướng ngại vật và giảm thiểu sự can thiệp từ con người. Pin Lithium-Polymer (Li-Po) cung cấp nguồn năng lượng kéo dài thời gian hoạt động, trong khi các thiết bị điện tử như ESP32 và Raspberry Pi 4 hỗ trợ kết nối Wi-Fi và Internet. Điều này cho phép thiết lập một máy chủ web để hiển thị dữ liệu môi trường nước được thu thập theo thời gian thực. Mục tiêu chính của nghiên cứu là phát triển một hệ thống có khả năng thu thập dữ liệu liên tục, chính xác và điều hướng đến các vị trí định trước với sai số dưới 3 mét. Các tiêu chí đánh giá bao gồm độ chính xác của định vị, thời gian hoạt động liên tục và độ chính xác của cảm biến. Kết quả nghiên cứu không chỉ giúp giảm chi phí và cải thiện độ chính xác của dữ liệu, mà còn tăng cường hiệu quả quản lý trong nuôi tôm. Về mặt lâu dài, việc áp dụng ASV góp phần bảo vệ môi trường sống của tôm, hỗ trợ sự phát triển bền vững của ngành nuôi trồng thủy sản và mang lại giá trị kinh tế cao.This study develops an Autonomous Surface Vehicle (ASV) to enhance water quality monitoring efficiency in shrimp farming ponds. The ASV is mechanically designed using NX software, with dynamics tested through Matlab simulations, and the model is fabricated via 3D printing technology to optimize performance and reliability. The vehicle is equipped with a Global Positioning System (GPS) sensor and ultrasonic sensors, enabling autonomous positioning, obstacle avoidance, and minimal human intervention. A Lithium-Polymer (Li-Po) battery powers the system, extending operational duration, while electronic components like ESP32 and Raspberry Pi 4 support Wi-Fi and Internet connectivity. This setup allows the establishment of a web server to display real-time water quality data. The primary objective of the study is to develop a system capable of continuously and accurately collecting data and navigating to predefined locations with an error margin of less than 3 meters. Evaluation criteria include positioning accuracy, continuous operational time, and sensor precision. The research outcomes not only help reduce costs and improve data accuracy but also enhance management efficiency in shrimp farming. In the long term, implementing ASVs contributes to preserving shrimp habitats, supporting sustainable aquaculture development, and delivering significant economic values.

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