大水面生态渔业养殖系统的可持续监管研究  

Research on sustainable monitoring of ecological fishery aquaculture system in large area fresh waters

作　　者：万亚男 张鹤 杨韡韡 WAN Yanan;ZHANG He;YANG Weiwei(Guizhou Vocational and Technical College of Water Resources and Hydropower,Guiyang 551416,China)

机构地区：[1]贵州水利水电职业技术学院,贵阳551416

出　　处：《电子测试》2023年第4期32-36,共5页Electronic Test

基　　金：贵州省水利厅科技项目(KT202222)资助。

摘　　要：为了以技术创新应对大水面渔业养殖中的现代化挑战,提出一种融合人工智能和大数据分析的全新监管方法。本文开发了一艘功能先进的无人船,配备水下摄像头和声纳探测器,不仅能采集水质数据,还能监测水下和水面的动态环境。通过无人船载摄像头,可检测水面是否存在围网。利用人工智能技术对收集的图像进行智能识别,结合大数据分析科学指导放养策略,能够为不同水质和水域条件下的鱼类种群选择最佳生态养殖方案。本文研究成果将推动生态渔业向更高质量、更可持续的方向发展,通过开发新技术提高养殖效率,保护水质与生态环境,为水产养殖业树立新的典范。To address the modernization challenges in the large area fresh waters fishery aquaculture system through technological inno-vation,this paper proposes a novel monitoring method that integrates artificial intelligence and big data analysis.This paper develops an advanced unmanned ship equipped with underwater cameras and sonar detectors,which can not only collect water quality data but also monitor the dynamic environment of underwater and water surfaces.By using unmanded ship mounted cameras,it is possible to detect the presence of seine nets on the water surface.And utilizing artificial intelligence techniques to intelligently recognize the col-lected images,combined with big data analysis,can scientifically guide fish farming strategies,and select the optimal ecological aqua-culture scheme for fish populations under different water quality and aquatic conditions.This research will promote the development of ecological fisheries towards higher quality and sustainability,improving aquaculture efficiency through the development of new technolo-gies and protecting water quality and the ecological environment,and set a new example for the aquaculture industry.

关 键 词：生态渔业 人工智能 大数据 可持续监管 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] S951.2[自动化与计算机技术—控制科学与工程]