大滚筒智能钓机出绳速度控制及其对长鳍金枪鱼捕捞效果的影响
作者:
中图分类号:

S972.6;TP29

基金项目:

国家重点研发计划(2023YFD2401301,2023YFD2401305)


Rope throwing speed control of large drum intelligent fishing machine and its effect on albacore tuna fishing results
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [27]
  • |
  • 相似文献 [17]
  • | | |
  • 文章评论
    摘要:

    自动化捕捞装备的研发是推动远洋捕捞渔业高质量发展的关键要素,为了提升远洋作业中金枪鱼捕捞效率和渔获质量,提出了一种基于南太平洋长鳍金枪鱼(Thunnus alalunga)延绳钓钓钩深度模型设计的智能投绳控制系统。该系统采用模糊比例积分微分(Proportion integral differential,PID)控制方式,结合作业渔船部署的传感器采集实时数据,通过可编程逻辑控制器(Programmable logic controller,PLC)实时调节投绳机的出绳速度,使钓钩深度达到目标鱼种的栖息深度。首先采用仿真实验及验证实验证实模糊PID在智能投绳控制系统的有效性,然后在中水集团远洋股份有限公司所属的“中水747”渔船上部署该系统进行海试试验,通过智能投绳控制系统作业与传统人工作业两种方式对比出绳速度控制精度及稳定性、钓钩深度及渔获情况。结果显示:(1)系统能根据船速自动调节出绳速度,将稳态误差控制在2%左右;(2)最深钓钩平均深度为230.20 m,两浮子间53.57%的钓钩深度与长鳍金枪鱼的捕食深度重合;(3)长鳍金枪鱼上钩率提高了31.85%,目标渔获的优势体质量区间由(14,18]kg提升至(18,22]kg,渔获质量及效率显著提升。研究表明,智能投绳控制系统作业优于传统人工作业,可有效提升金枪鱼目标鱼种的捕捞效率。本研究为金枪鱼捕捞装备的智能化控制提供了科学依据,推动了远洋渔业装备的技术创新与智能化升级。

    Abstract:

    The research and development of automated fishing equipment is a key factor in promoting the high-quality development of offshore fishing. In order to improve the efficiency and quality of tuna fishing in offshore operations, this study proposes an intelligent throwing-rope control system based on the hook depth model for south Pacific albacore tuna (Thunnus alalunga).The system employs a fuzzy PID control method that integrates real-time data collected by sensors deployed on operating fishing vessels, and dynamically adjusts the rope throwing speed through a PLC controller to ensure that the hook depth matches the habitat depth of the target fish species.The study first validated the effectiveness of the fuzzy PID control method in the intelligent throwing-rope control system through simulation and verification experiments, and then deployed the system for sea trials on the "Zhongshui 747" fishing vessel owned by CNFC Overseas Fishery Co., Ltd., comparing the rope throwing speed control precision, stability, hook depth, and fishing outcomes between the intelligent system and traditional manual operations. The results are as follows: (1) The rope throwing speed can be automatically adjusted to the optimal speed based on the ship's speed, control the steady-state error range of the ropethrowing speed to around 2%; (2) The average depth of the deepest hook was 230.20 m, and 53.57% of the hook depths between the two floats coincided with the albacore tuna's feeding depth; (3) The hook rate of albacore tuna increased by 31.85% and the target catch body mass range increased from (14, 18] kg to (18, 22] kg, improving the catch quality. This study shows that the intelligent throwing-rope control system outperforms traditional manual operations and the intelligent throwing-rope control system can effectively improve fishing efficiency and catch quality for target tuna species. This study provides a scientific basis forthe intelligent control of tuna fishing equipment, driving technological innovation and intelligent upgrades in pelagic fishing equipment.

    参考文献
    [1] SWIMMER Y, ZOLLETT E A, GUTIERREZ A. Bycatch mitigation of protected and threatened species in tuna purse seine and longlinefisheries[J]. Endangered Species Research, 2020, 43:517-542.
    [2] MA J Z, YU C D, ZHENG J, et al. Study on fishing gear and fishing method and fishing performance about tuna longline in the high sea of North Atlantic Ocean[J]. Journal of Zhejiang Ocean University (Natural Science), 2015, 34(3):287-292.马家志,虞聪达,郑基,等.北大西洋公海金枪鱼延绳钓渔具渔法及其性能调查研究[J].浙江海洋学院学报(自然科学版), 2015, 34(3):287-292.
    [3] SONG L M, LI J, GAO P F, et al. Modeling the hook depth distribution of pelagic longlining in the equatorial area of Indian Ocean[J]. Journal of Ocean University of China, 2012, 11(4):547-556.
    [4] GUO G G, ZHANG S M, FAN W, et al. Spatial analysis of vertical active layer of albacore tuna (Thunnus alalunga) in the South Pacific Ocean[J]. South China Fisheries Science, 2016, 12(5):123-130.郭刚刚,张胜茂,樊伟,等.南太平洋长鳍金枪鱼垂直活动水层空间分析[J].南方水产科学, 2016, 12(5):123-130.
    [5] ZHOU C, HE P G, XU L X, et al. The effects of mesoscale oceanographic structures and ambient conditions on the catch of albacore tuna in the South Pacific longlinefishery[J]. Fisheries Oceanography, 2020, 29(3):238-251.
    [6] SONG L M, ZHOU W. Hook depth of pelagic longline based on ANSYS Workbench simulation[J]. Fishery Modernization, 2021, 48(4):85-94.宋利明,周旺.基于ANSYS Workbench力学仿真的金枪鱼延绳钓钓钩深度[J].渔业现代化, 2021, 48(4):85-94.
    [7] YANG J L, HUANG H L, SONG L M, et al. An integrated habitat index for albacore tuna (Thunnus alalunga) in the waters near the Cook Islands based on the quantile regression method[J]. Journal of Fishery Sciences of China, 2014, 21(4):832-851.杨嘉樑,黄洪亮,宋利明,等.基于分位数回归的库克群岛海域长鳍金枪鱼栖息环境综合指数[J].中国水产科学, 2014, 21(4):832-851.
    [8] LEI X S, HOU S, QIN X, etal. Electro-hydraulic proportional valve-controlled hydraulic motor system of fuzzy PID constant speed control[J]. Fluid Power Transmission& Control, 2016(1):42-46, 49.雷晓顺,侯帅,秦璇,等.电液比例阀控液压马达系统的模糊PID恒速控制[J].流体传动与控制, 2016(1):42-46, 49.
    [9] LU J H, ZHU X L, FU G H, et al. Research on the fuzzy PID control strategy and simulation for throttling speed regulation of hydraulic system[J]. Machine Design and Manufacturing Engineering, 2020, 49(4):18-22.陆金华,朱兴龙,付光华,等.液压系统进油节流调速的模糊PID控制策略与仿真研究[J].机械设计与制造工程, 2020, 49(4):18-22.
    [10] YU R B, CAI W T, CHEN R, et al. Synchronous drive control method of explosion-proof forklift hydraulic motor based on fuzzy PID[J]. Manufacturing Automation, 2022, 44(8):144-147, 152.喻瑞波,蔡宛涛,陈瑞,等.基于模糊PID的防爆叉车液压马达同步驱动控制方法[J].制造业自动化, 2022, 44(8):144-147, 152.
    [11] COELHO R, FERNANDEZ-CARVALHO J, SANTOS M N. Habitat use and diel vertical migration of bigeye thresher shark:overlap with pelagic longline fishing gear[J]. Marine Environmental Research, 2015, 112:91-99.
    [12] ZHANG H L, XU H X, XU X, et al. Study on the casting efficiency of tuna longliner[J]. Marine Fisheries, 2007, 29(4):302-306.张洪亮,徐汉祥,徐晓,等.金枪鱼延绳钓投绳效率的研究[J].海洋渔业, 2007, 29(4):302-306.
    [13] GUO C F, ZHOU B R. Design and application of PLC system based on an embedded platform[J]. Journal of Nanjing Institute of Technology (Natural Science Edition), 2022, 20(4):31-34.郭财发,周伯荣.基于嵌入式平台的PLC系统设计与应用[J].南京工程学院学报(自然科学版), 2022, 20(4):31-34.
    [14] SONG L M, LI J, XU W Y, et al. The dynamic simulation of the pelagic longlinedeployment[J]. Fisheries Research, 2015, 167:280-292.
    [15] CAMPBELL R A, YOUNG J W. Monitoring the behaviour of longline gears and the depth and time of fish capture in the Australian Eastern Tuna and Billfish Fishery[J]. Fisheries Research, 2012, 119-120:48-65.
    [16] LI J, YAN L, YANG B Z, et al. Estimation on hook and capture depth of tuna longline conducted by falling-net fishing vessel[J]. Marine Fisheries, 2018, 40(6):660-669.李杰,晏磊,杨炳忠,等.罩网兼作金枪鱼延绳钓的钓钩深度与渔获水层分析[J].海洋渔业, 2018, 40(6):660-669.
    [17] SONG L M, GAO P F. Captured depth, water-temperature and salinity of bigeye tuna (Thunnus obesus) longlining in Maldives waters[J]. Journal of Fisheries of China, 2006, 30(3):335-340.宋利明,高攀峰.马尔代夫海域延绳钓渔场大眼金枪鱼的钓获水层、水温和盐度[J].水产学报, 2006, 30(3):335-340.
    [18] SONG L M, XIE K, ZHAO H L, et al. Effects of environmental variables on catch rates of Thunnus alalunga in waters near Cook Islands[J]. Marine Science Bulletin, 2017, 36(1):96-106.宋利明,谢凯,赵海龙,等.库克群岛海域海洋环境因子对长鳍金枪鱼渔获率的影响[J].海洋通报, 2017, 36(1):96-106.
    [19] ZHANG B. The design of the control system of the tuna longline fishing device based on PLC[D]. Shanghai:Shanghai Ocean University, 2021.张斌.基于PLC的金枪鱼延绳钓装置控制系统设计[D].上海:上海海洋大学, 2021.
    [20] FENG H, YIN C B, WENG W W, et al. Robotic excavator trajectory control using an improved GA based PID controller[J]. Mechanical Systems and Signal Processing,2018, 105:153-168.
    [21] CHANG Y J, HSU J, LAI P K, et al. Evaluation of the impacts of climate change on albacore distribution in the South Pacific Ocean by using ensemble forecast[J]. Frontiers in Marine Science, 2021, 8:731950.
    [22] LI S T, TANG Y L. Catch rate and distribution of tuna longlinefishery in Vanuatu and surrounding ocean area[J]. Fisheries Science, 2017, 36(6):714-721.李世通,唐衍力.瓦努阿图及周边海域金枪鱼延绳钓上钩率和渔场分布的初步研究[J].水产科学, 2017, 36(6):714-721.
    [23] SARI I, ICHSAN M, WHITE A, et al. Monitoring small-scale fisheries catches in Indonesia through a fishing logbook system:challenges and strategies[J]. Marine Policy, 2021, 134:104770.
    [24] CUI X F, ZHANG B, SHAO Q, et al. PLC-based tuna longline casting machine control system[J]. Manufacturing Automation, 2022, 44(10):84-87.崔秀芳,张斌,邵祺,等.基于PLC的金枪鱼延绳钓投绳机控制系统[J].制造业自动化, 2022, 44(10):84-87.
    [25] GUO X G, WANG G, SONG X D, et al. Configuration analysis and tension calculation of catenary under vertical concentrated force[J]. Chinese Journal of Computational Mechanics, 2020, 37(4):431-438.郭小刚,王刚,宋晓东,等.悬链线竖向集中力作用下的构形分析和张力计算[J].计算力学学报, 2020, 37(4):431-438.
    [26] ZHU J F, XU LX, DAI X J, et al. Comparative analysis of depth distribution for seventeen large pelagic fish species captured in a longline fishery in the central-eastern Pacific Ocean[J]. Scientia Marina, 2012, 76(1):149-157.
    [27] YANG S L. Study on the influence of subsurface environment on the vertical distribution and longline catch rate of yellowfin tuna in the tropical central and western Pacific ocean[D]. Shanghai:Shanghai Ocean University, 2020.杨胜龙.次表层环境对热带中西太平洋黄鳍金枪鱼垂直水层分布和延绳钓渔获率影响研究[D].上海:上海海洋大学, 2020.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

刘雨青,吴世腾,宋利明,伏州,张子宸.大滚筒智能钓机出绳速度控制及其对长鳍金枪鱼捕捞效果的影响[J].上海海洋大学学报,2025,34(2):282-294.
LIU Yuqing, WU Shiteng, SONG Liming, FU Zhou, ZHANG Zichen. Rope throwing speed control of large drum intelligent fishing machine and its effect on albacore tuna fishing results[J]. Journal of Shanghai Ocean University,2025,34(2):282-294.

复制
分享
文章指标
  • 点击次数:65
  • 下载次数: 91
  • HTML阅读次数: 49
  • 引用次数: 0
历史
  • 收稿日期:2024-11-29
  • 最后修改日期:2025-01-09
  • 录用日期:2025-01-14
  • 在线发布日期: 2025-03-13
文章二维码