隐马尔科夫模型的鱼塘水质评价研究  

Hidden Markov Model for Fish Pond Water Quality Evaluation

作　　者：张香芽[1] 江振宇 邹欣琦 戴小鹏[1,2] ZHANG Xiangya;JIANG Zhenyu;ZHOU Xinqi;DAI Xiaopeng(School of Information and Intelligent Science and Technology,Hunan Agricultural University,Changsha,China,410128;School of Computer Science and Engineering,Hunan University of Information Technology,Changsha,China,410151)

机构地区：[1]湖南农业大学信息与智能科学技术学院,长沙410128 [2]湖南信息学院计算机科学与工程学院,长沙410151

出　　处：《福建电脑》2023年第4期67-69,共3页Journal of Fujian Computer

基　　金：湖南省教育厅科研项目(No.20C0953)资助。

摘　　要：为了避免在鱼塘养殖中因为水质改善不及时而带来的经济损失,建立一种准确快速的水质评价模型是必要的。本文构建了基于隐马尔科夫的鱼塘水质评价模型,分析了鱼塘水质和鱼的活跃程度之间的关系,通过实验验证了该模型的可行性与正确性。隐马尔可夫模型能够为养殖者从根源上解决鱼塘水质问题提供理论依据,对改善传统依靠传感器直接测量水质指标的繁琐的过程起到了促进作用。In order to avoid economic losses in fish pond culture due to untimely water quality improvement,it is necessary to establish an accurate and fast water quality evaluation model.This paper constructs a fish pond water quality evaluation model based on Hidden Markov,analyzes the relationship between fish pond water quality and fish activity,and verifies the feasibility and correctness of the model through experiments.Hidden Markov model can provide a theoretical basis for farmers to solve the water quality problems in fish ponds from the root cause,and play a facilitating role in improving the tedious process of traditional direct measurement of water quality indicators by sensors.

关 键 词：隐马尔科夫模型 水质评价 参数估计 

分 类 号：X824[环境科学与工程—环境工程]