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作 者:李志坚 李俊康 陈雷雷[1] 李俊[1] 胡庆松[1] LI Zhijian;LI Junkang;CHEN Leilei;LI Jun;HU Qingsong(College of Engineering Science and Technology,Shanghai Ocean University,Shanghai 201306,China;Shanghai Engineering Research Center of Hadal Science and Technology,Shanghai Ocean University,Shanghai 201306,China)
机构地区:[1]上海海洋大学工程学院,上海201306 [2]上海海洋大学,上海深渊科学工程技术研究中心,上海201306
出 处:《水产学报》2024年第12期72-82,共11页Journal of Fisheries of China
基 金:上海市水产动物良种创制与绿色养殖协同创新中心项目(2021科技02-12)。
摘 要:对养殖池中生物数量进行实时准确评估是水产养殖作业的重要需求,利用超声波探测技术对生物数量进行计量是一种快速高效的手段。为解决超声波探测应用在深度低的养殖池中结果误差较大的问题,提出了一种基于变异系数的时域区间选取方法,采用发射频率40 kHz的超声换能器,在体积为0.115 m^(3)的圆筒中,进行了养殖池鱼类计数实验。结果显示,通过选取合适时域区间和增加测量次数可以有效提高计数结果的准确性。利用该方法分别在无增氧和有增氧2种情况下,对圆筒内10~40尾草金鱼数量进行估算,结果的平均绝对误差分别为0.924和1.769尾。研究表明,该基于超声多重散射理论的计数方法在增氧机持续开启时依然适用,并且增大样本数量后,能够进一步提高计数的精度。本研究为低深度、小面积的水产养殖池中鱼的数量评估提供了新路径。Accurate assessment of the number of organisms in aquaculture ponds is an important requirement in aquaculture.Fish counting methods based on machine vision and near-infrared light can quickly and accurately estimate the biomass in the culture pond under better light environmental conditions,but it is affected by fish overlap,water turbidity,light,bubbles,and other factors.Fish counting method based on sonar camera and echo sounder can effectively investigate the amount of biological resources in the ocean or lake,but it is limited by the area and water depth of the aquaculture pond in the industrial aquaculture.A time domain interval selection method based on coefficient of variation was proposed to solve the problem of error in the application of ultrasonic detection in aquaculture ponds with low depth.The ultrasonic transducer with an emission frequency of 40 kHz was used to count the fish in aquaculture ponds in a cylinder with a volume of 0.115 m^(3).Aiming at the problem of error in the estimation results of ordinary multiple scattering theory,a time-domain interval selection method based on coefficient of variation was proposed.The method was used to estimate the number of 10-40 fishes in the cylinder without and with aeration.The results showed that the MAE was 0.924 and 1.769 fish,RMSE was 1.148 and 2.054,and the CV between estimated and actual values were 0.995 and 0.983,respectively.The results showed that the error was highly correlated with the selection of the time domain interval,and the variation coefficient and the three evaluation indexes kept consistent with the change trend of the time domain interval.By selecting the appropriate time domain interval and increasing the number of measurements,the accuracy of the counting results could be effectively improved.The research showed that the accuracy of aquatic organism counting could be effectively improved after increasing the number of samples although there were bubbles in the environment after oxygenation,which leads to a decrease in the accura
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