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Challenges and Opportunities of Big Data Analytics for Upcoming Regulations and Future Transformation of the Shipping Industry

机译:挑战和大型数据分析对即将到来的法规和未来航运业转型的挑战与机遇

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Shipping is a heavily regulated industry and responsible for around 3% of global carbon emissions. Global trade is highly dependent on shipping which covers around 90% of commercial demand. Now the industry is expected to navigate through many twists and turns of different situations like upcoming regulations, climate change, energy shortages and technological revolutions. Technological development is apparent across all marine sectors due to the rapid development of sensor technology, IT, automation and robotics. The industry must continue to develop at a rapid pace over the next decade in order to be able to adapt to upcoming regulations and market pressure. Ship intelligence will be the driving force shaping the future of the industry. Ships generate a large volume of data from different sources and in different formats. So big data has become the talk of the industry nowadays. Big data analysis discovers correlations between different measurable or unmeasurable parameters to determine hidden patterns and trends. This analysis will have a significant impact on vessel performance monitoring and provide performance prediction, realtime transparency, and decision-making support to the ship operator. Big data will also bring new opportunities and challenges for the maritime industry. It will increase the capability of performance monitoring, remove human error and increase interdependen-cies of components. However, the industry will have to face many challenges such as data processing, reliability, and data security. Many regulations rely on ship data including the new EU MRV (Monitoring, Reporting and Verification) regulation to quantify the CO2 emissions for ships above 5000 gross tonnage. As a result, ship operators will have to monitor and report the verified amount of CO2 emitted by their vessels on voyages to, from and between EU ports and will also be required to provide information on energy efficiency parameters. The MRV is a data-oriented regulation requiring ship operators to capture and monitor the ship emissions and other related data and although it is a regional regulation at the moment there is scope for the International Maritime Organization (IMO) to implement it globally in the near future.
机译:运输是一个严重监管的行业,负责大约3%的全球碳排放量。全球贸易高度依赖于占地90%的商业需求的航运。现在,该行业预计将浏览许多曲折,如即将到来的规定,气候变化,能源短缺和技术革命等不同情况。由于传感器技术,自动化和机器人的快速发展,所有海洋部门都显而易见的技术发展。该行业必须在未来十年内继续在快速上发展,以便能够适应即将到来的规定和市场压力。船舶情报将成为塑造业内未来的推动力。船舶从不同来源和不同格式生成大量数据。如此大的数据现在已成为行业的谈话。大数据分析发现不同可测量或不可衡量的参数之间的相关性,以确定隐藏的模式和趋势。该分析将对船舶性能监测产生重大影响,并为船舶运营商提供性能预测,实时透明度和决策支持。大数据还将为海事行业带来新的机遇和挑战。它将提高性能监测的能力,删除人为错误并增加组件的相互依赖性。然而,该行业必须面临许多挑战,如数据处理,可靠性和数据安全性。许多法规依赖于船舶数据,包括新的欧盟MRV(监测,报告和核查)规例,以量化超过5000吨吨位的船舶的二氧化碳排放量。因此,船舶运营商将不得不监督并报告其船只对欧盟港口的航行,欧盟港口之间的核实金额的核实金额,并且还将提供有关能效参数的信息。 MRV是一个以数据为导向的监管,要求船舶运营商捕获和监控船舶排放和其他相关数据,但目前它是国际海事组织(IMO)范围的区域监管,以便在附近全球实施其全球范围未来。

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