首页|新型岸电智慧管理平台的开发与关键技术研究

新型岸电智慧管理平台的开发与关键技术研究

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随着岸电技术的快速发展,岸电数量呈指数增长,传统的岸电信息化管理系统难以满足更高的管理需求,为此研发了一款新型岸电智慧管理平台.平台主要功能包括:系统导航、在线监测、智能运维、智能分析、计费收费等.为提高巡检效率,降低设备故障造成的损失,提出了一种基于设备运行状态的故障智能识别关键技术,通过建立基于数据驱动的故障预测模型,实现对岸电设备的故障预测及判断.针对短期岸电负荷预测问题,提出了基于转换器(Transformer)的岸电负荷预测模型(SP-T)并结合萤火虫算法(FA)的解决方案,利用FA算法提取高维船舶负荷数据中的关键特征,SP-T根据选择后的特征,对各泊位用电负荷进行预测.结果表明:该方法具有良好的泛化性、准确性,可高效准确组织岸电接用、避免峰值叠加、减少对岸方电网的冲击.
Development and key technology research of new shore power intelligent management platform
With the rapid development of shore power technology,the number of shore power is growing exponentially,and the traditional shore power information management system is difficult to meet the higher management needs.Consequently,a new shore power smart management platform was developed.The main functions of the platform encompass system navigation,online monitoring,intelligent operation and maintenance,intelligent analysis,billing and charging,among others.In order to improve the inspection efficiency and reduce the loss caused by equipment faults,a key technology of intelligent fault recognition,based on the operating state of equipment,was proposed.This technology realizes fault prediction and judgment of shore power equipment through data-driven fault prediction models.Aiming at the short-term shore power load prediction problem,a solution combining a Transformer-based Shore Power Load Prediction Model(SP-T)with the Firefly Algorithm(FA)was proposed.FA was utilized to extract the key features in the high-dimensional ship's load data,while SP-T predicted the electricity load of each berth based on the selected features.The experimental results show that the method has good generalization and accuracy,enabling efficient and accurate organization of the shore power connections,avoiding peak superposition,and mitigating the impact on the shore-side grid.

shore powersmart management platformfault prediction and identification modelfirefly algorithmartificial intelligence and internet of things

吴佳彬、崔广开、赵维友、阚冬杰、李硕、刘旖萱

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天津水运工程勘察设计院有限公司,天津 300456

岸电 智慧管理平台 故障预测模型 萤火虫算法 人工智能物联网

中国博士后科学基金项目

2020M680882

2024

水道港口
交通部天津水运工程科学研究所

水道港口

CSTPCD
影响因子:0.348
ISSN:1005-8443
年,卷(期):2024.45(4)