基于LoRa的非法捕鱼侦察与追踪系统  

LoRa-based Illegal Fishing Detection and Tracking System

作　　者：郑雯倩 闫兴园 王皓 Zheng Wen-qian;Yan Xing-yuan;Wang Hao(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,Anhui Province,China)

机构地区：[1]合肥工业大学电气与自动化工程学院,安徽合肥230009

出　　处：《科学与信息化》2022年第20期79-81,共3页Technology and Information

基　　金：合肥工业大学2021省级大学生创业创新训练计划项目资助,项目名称:基于LoRa的非法捕鱼侦察与追踪系统,项目编号:S202110359070。

摘　　要：我国渔业资源丰富,但由于非法捕捞的猖獗,大约有10%的淡水鱼类属于濒危物种。本项目立足于非法捕鱼侦察与追踪这一被长期忽视的实际应用需求,采用无人机和固定基站为网关节点、采用仿生鱼群构成监测终端网络,利用LoRa技术低功耗、广覆盖、抗干扰能力强等特点,实现广域可靠、实时侦察;同时,灵活配置单个仿生鱼的传感器类型,提高系统的侦察效能,具有良好的可扩展性和实用价值。China has rich fishery resources,but due to the rampant illegal fishing,about 10%of freshwater fish are endangered species.Based on the long-term neglected practical application demand of illegal fishing detection and tracking,this project adopts unmanned aerial vehicle and fixed base stations as gateway nodes,uses bionic crowded fish to constitute the monitoring terminal network,and uses LoRa technology characterized by low power consumption,wide coverage and strong anti-interference ability to achieve a wide-range,reliable and real-time detection;at the same time,the sensor types with flexible configuration of individual bionic fish improves the detection effectiveness of the system,and has good scalability and practical value.

关 键 词：非法捕鱼 LoRa 仿生鱼 网关节点 侦察 

分 类 号：TN9[电子电信—信息与通信工程]