随着水产养殖规模的扩大,传统水产养殖技术已经不能满足现代渔业生产的需求.现有的现代化水产养殖系统主要对水质数据进行检测,尚缺少对水下鱼群异常行为的监测.针对这一问题,提出基于智能视觉物联网的水产养殖监测系统.该系统与其它水产养殖系统相比,增加对视觉标签的支持,利用图像识别技术完成了鱼群异常行为的自动化监测,实现了智能化水产养殖.系统测试表明,该系统对池塘溶解氧、池塘温度、池塘pH值的测量精度高,对鱼群健康参数监测的准确度和实时性高,因此具有广阔的应用前景.%With the expansion of the scale of aquaculture, the traditional aquaculture technology has been unable to meet the needs of modern fishery production. The existing modern aquaculture systems mainly monitor the water quality, they lack the monitoring for the abnormal situations of underwater fish stock. To solve this problem, a mo-nitoring system for aquaculture based on intelligent visual internet of things is proposed. Compared with the other aquaculture systems, the system adds the support for visual label, realizes the automatized monitoring for the abnor-mal situations of underwater fish stock by the technology of image recognition and realizes intelligent aquaculture. The system test shows that the system has high measurement accuracy for dissolved oxygen, pond temperature and pH value of the pond, it also has high accuracy and realtimeness in monitoring the health parameters of fish stock, therefore, the system has a broad application prospect.
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