Review analysis on cloud computing based smart grid technology in the oil pipeline sensor network system
作者机构:Department of Mechatronics EngineeringKongu Engineering CollegePerunduraiErodeIndia School of ComputingUniversity of Eastern FinlandFinland
出 版 物:《Petroleum Research》 (石油研究(英文))
年 卷 期:2021年第6卷第1期
页 面:77-90页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Oil pipelines Smart grid Pigging Cloud computing Sensor
摘 要:Natural resources plays efficient contribution in the human world in the way of consuming energy resources for the daily life *** main concerns rely on the transporting oil from refining to the consumer usages through different *** the transportation passages,its performances are calibrated in the robust manner through sensor network communication and the periodical pigging inspection on the pipeline *** chapter enumerates about the layout of oil pipeline system and its sensor measurement and instrumentation deliberately placed on the long run *** evolution of smart grid application enhances this oil transportation in a much corporate band by accumulatively orienting the sensor network in the utilization of power ***,through the wireless communication associated with the smart grid,the pigging inspection gauges are exploited in the desired geographical area with better power *** research on communication technologies in SG is briefly overviewed with the main focus on Cloud computing *** this paper,the Smart Grid architecture and its applications are focused on entire oil pipeline from inlet to distribution substations *** Cloud Computing architecture is explained ***,Cloud Computing for Smart Grid applications are also introduced in terms of efficiency,security and *** platforms technical and security protocols are ***,the inspection of oil pipeline system by receiving sensor data of smart pigs incorporated with the cloud computing technique associated with smart grid application is elaborated with its SCADA hierarchical ***,simulation analysis of wireless sensor nodes with Flexmeter platform for power monitoring over smart pig case scenario is also presented with its layer-wise characterization.