渔业现代化杂志

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渔船主机功率在线监测研究

  1. (1上海海洋大学工程学院,上海 201306;
    2上海海洋可再生能源工程技术研究中心,上海 201306)
  • 出版日期:2021-08-20 发布日期:2021-10-14
  • 作者简介:王永鼎(1963—),男,教授,研究方向:船舶动力装置。E-mail:ydwang@shou.edu.cn
  • 基金资助:
    上海市科技兴农项目“沪农科攻字﹝2014﹞(第6-3号)”

Research on online monitoring of the main engine power of fishing vessels

  1. (1 College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China;
    2 Shanghai Engineering Research Center of Marine Renewable Energy, Shanghai 201306, China)
  • Online:2021-08-20 Published:2021-10-14

摘要: 针对中国渔船目前存在的“大机小标”现象以及缺少相应监测手段的情况,对渔船主机功率在线监测系统进行研究。采用磁电式转速传感器与应变式扭矩传感器对渔船主机的转速与扭矩进行测量,通过无线遥测系统传输采集信号,并使用计算机进行处理得到功率值,实现对渔船主机功率的在线监测、记录和回放。选择潍柴WP10C287-21型柴油机按照推进特性进行试验,将测量值与标定值进行对比。结果显示,在监测对象WP10C287-21型柴油机标定功率范围内,监测系统的功率测量误差率均在1%以内,可以较为精确地实现对渔船主机功率的在线监测。本研究为相关单位收集渔船主机功率信息,管理渔船捕捞作业,优化船-机-桨匹配提供参考。

关键词: 渔船管理, 柴油机, 功率在线监测, 无线遥测

Abstract:  In view of the phenomenon of "big engines and small standards" existing in Chinese fishing vessels and the lack of corresponding monitoring means, the on-line monitoring system of the main engine power of fishing vessels was  studied. Magnetoelectric speed sensor and strain type torque sensor are used to measure the speed and torque of the main engine of fishing vessels. Signals collected are transmitted by a wireless telemetry system, and the power value is obtained by computer processing, realizing the online monitoring, recording and replaying of the main engine power of fishing vessels. The Weichai WP10C287-21 diesel engine was selected for testing based on its propulsion characteristics, and the measured values were compared with the calibration values. Results show that the power measurement error rate of WP10C287-21 diesel engine was  less than 1% of the calibration power range, implying that the system can generally realize the accurate on-line monitoring of main engine power of fishing vessels. This study provides a reference for relevant units to collect information on the main engine power of fishing vessels, manage the fishing activities of fishing vessels and optimize the vessels’ machine and propeller matching.

Key words: fishing vessel management, diesel engine, online power monitoring, radio telemetry