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ICT application of real-time monitoring and estimation system for set-net fishery

机译:ICT在定网渔业实时监测与评估系统中的应用

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In this paper, we propose an ICT application of real-time monitoring system to estimate the catch amount within set-net. Generally, set-net fishermen do not know the catch amount in advance before arriving to set-net area, in which they tend to unable to perform the fishing operation effectively. It means that the fishermen might suffer a loss of time, gasoline and labor cost, along with extra effort. In order to support the fishermen to avoid such condition, in our previous study, we have presented the real-time monitoring system based on ICT aided echo sounder for the set-net fishing. Besides, the algorithm based on multiple regression analysis (MRA) for estimation of catch amount was proposed so that fishermen could predict the catch amount before they leave the port for harvesting. However, the catch estimation was not sufficiently accurate in practical application. The reason of this is because the daily catch amount varies from some few tons to 250 tons, whereas statistics of ping intensity do not vary so much, thus, it is not easy to build a model of MRA adequately. This study aims to develop a more accurate catch estimation algorithm based on our previous study. The experiment of this study is conducted in Hokkaido and Toyama Prefecture. To transform the catch record appropriately for MRA, Box-Cox transformation (BCT) as pre-processing transformation is applied in this paper. The catch estimation has been done based on fishermen's empirical estimation through a pre-processing transformation and statistical analysis of reflection data in each layer depth. The study showed that the present system could improve the estimation accuracy. In order to measure the differences between catch estimation by the developed algorithm and the real catch record, Relative Absolute Error (RAE) is used in this study. The RAE for Hokkaido experimental site was 1% and in Toyama is 22%, respectively. The results show that the estimation accuracy of the present method is sufficie- tly adequate for practical application.
机译:在本文中,我们提出了一种ICT实时监控系统的应用,以估计网络中的捕获量。通常,渔网渔民在到达渔网区之前并不事先知道其捕捞量,因此他们往往无法有效地进行捕捞作业。这意味着渔民可能会浪费时间,汽油和人工成本,并且还要付出额外的努力。为了支持渔民避免这种情况,在我们以前的研究中,我们提出了基于ICT辅助回波测深仪的实时监控系统,用于定网捕鱼。提出了一种基于多元回归分析的渔获量估算算法,以使渔民在出港前就可以预测渔获量。但是,渔获量估计在实际应用中不够准确。其原因是因为每天的捕捞量从几吨到250吨不等,而ping强度的统计数据却变化不大,因此,要充分地建立MRA模型并不容易。这项研究的目的是在我们之前的研究的基础上开发一种更准确的渔获量估计算法。这项研究的实验是在北海道和富山县进行的。为了对MRA的捕获记录进行适当的转换,本文采用Box-Cox转换(BCT)作为预处理转换。捕捞量的估计是基于渔民的经验估计,通过对每个层深度的反射数据进行预处理转换和统计分析得出的。研究表明,该系统可以提高估计精度。为了衡量由改进算法得出的渔获量估计值与实际渔获量记录之间的差异,本研究中使用了相对绝对误差(RAE)。北海道实验点的RAE分别为1%,富山为22%。结果表明,本方法的估计精度足以满足实际应用。

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