4.4 Article

Simulation of economic cost prediction of offshore oil pollution based on cloud computing embedded platform

Journal

MICROPROCESSORS AND MICROSYSTEMS
Volume 83, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.micpro.2021.103993

Keywords

Embedded system; Offshore oil; and oil pollution

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Real-time embedded settings have similar effects in different market sectors, while cloud computing provides users with convenience in accessing system resources without active management.
Embedded component to real-time system, it is called in real-time embedded settings. In previous studies, this allows oil pollution, your decision-making and business management costs, data, for more information, security, maintenance, powerful effects are similar in other sectors of the market improved in terms of full use. Cloud computing is without direct active management of the user, the system resources of the computer, especially the data storage (cloud storage) and on-demand computing capabilities available. This term is, in general, will be used to describe the data center available to many users on the Internet. The information collected from a variety of channels, can be managed in order to grow at such a rapid rate. Some service providers, please refer to the need to upgrade the data collection capabilities of your company. If almost all aspects of the business of the industry of oil pollution have been digitized, in order to facilitate the collection of oil pollution data, embedded computing solutions, it plays an important role in simplification. The integrated energy system is proposed, tuned to complex energy-requiring systems, marine oil pollution, diesel oil supply system, storage oil, and transport system from the marine oil pollution platform. Among them, strong adhesion, such as waste heat recovery and the associated gas use trend, have been proven too closely integrate the introduction of new technologies.

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