基于云平台的岸电工程电力数据处理方法研究  

Research on power data processing method for shore power engineering based on cloud platform

作　　者：张昊 于璐 王凯藤 ZHANG Hao;YU Lu;WANG Kaiteng(CNOOC Research Institute Co.Ltd.,Beijing 100028 China)

机构地区：[1]中海油研究总院,北京100028

出　　处：《无线互联科技》2024年第22期98-100,108,共4页Wireless Internet Science and Technology

摘　　要：针对岸电模式下区域高度互联海上油气田电网数据计算效率低、计算时间长、存储规模大等缺点,文章以提升岸电数据处理工作的效能为目标,基于云平台实现多个机构间海量数据的信息协同与共享处理。根据所得的信息规模,文章采用合理逻辑回归方法,选择不同的用电数据特性进行回归特性预测。该方法不仅可以保证整个系统数据处理的正确率,还可以降低分类算法的复杂性。实验证明,基于云平台的岸电工程电力数据处理系统方法具有较高的可靠性和稳定性,可以满足日益增长的岸电工程电力数据需求,为岸电电力系统的实际应用提供技术支撑。In response to the shortcomings of low calculation efficiency long calculation time and large storage scale of power grid data in the regional highly interconnected offshore oil and gas field under shore power mode this article aims to improve the efficiency of shore power data processing work achieves data information collaboration and sharing among multiple institutions based on cloud platform.A reasonable logistic regression is used to predict the regression characteristics of the electricity consumption data based on the scale of the obtained information.This method not only ensures the accuracy of data processing in the entire system but also reduces the complexity of the classification algorithm.The experiments show that the power data processing method for shore power engineering based on cloud platform has high reliability and stability which can meet the growing demand for power data in shore power projects and provide technical support for the practical application of shore power systems.

关 键 词：云平台 岸电 数据处理 分类算法 

分 类 号：TP212.3[自动化与计算机技术—检测技术与自动化装置]