Systems analysis for deployment of internet of things (IoT) in the maritime industry
Systems analysis for deployment of internet of things (IoT) in the maritime industry
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DOI：
10.1007/s00773-020-00750-5
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发表时间：
2020-07-16
影响因子：
2.6
通讯作者：
Moser, Bryan
中科院分区：
文献类型：
--
作者：
Hiekata, Kazuo;Wanaka, Shinnosuke;Moser, Bryan
由于最近可用的普适传感器，低成本和低延迟的数字通信以及分布式控制技术，各个行业正在经历转型。本文的目的是支持在海事行业引入物联网（IoT）技术。海运业被分析为一个系统的系统，以定义性能标准和功能，通过模拟进行建模和分析。在这种情况下，航运系统的仿真包括操作、货物装载、燃料装载和维护对接的模型。在模拟中，各种物联网技术由几个输入参数定义。通过改变参数，模拟器定量评估这些技术的影响。作为案例研究，对11种物联网技术进行了评估和比较。研究结果表明，船舶重量对收益的影响最大，控制作业对船体的损伤对安全的影响最大，提高港口作业效率是减少作业延误时间的关键。此外，本文还表明，通过改变输入参数进行的敏感性分析可以支持考虑技术水平的投资有效程度的决策。
Various industries are undergoing transformation given recently available pervasive sensors, low-cost and low-latency digital communication, and distributed control technologies. The objective of this paper is to support the introduction of Internet of things (IoT) technologies in the maritime industry. The maritime industry is analyzed as a system of systems to define performance criteria and functions to be modeled and analyzed through simulation. In this case, the simulation of a shipping system includes models of operation, cargo loading, fuel loading, and docking for maintenance. In the simulation, various kinds of IoT technologies are defined by several input parameters. By changing the parameters, the simulator evaluates the impact of those technologies quantitatively. As a case study, 11 IoT technologies are evaluated and compared. The result reveals several insights that weight of the ship is the most impactful for the profit, controlling damage of the ship's hull by operation is the most important for safety, and improvement in efficiency at ports is the key to reducing delay time in operation. Moreover, this paper shows that the sensitivity analysis by changing the input parameters can support the decision making of how much investment will be effective in considering the technologies' levels.