摘要
由于已有集成模型分类过滤能力较差,因此提出一种基于大数据的数字化系统一体化调度信息集成模型。通过小波多窗谱特征提取数字化系统一体化调度信息并进行预处理。在二维空间中对最近邻点进行模糊搜索,获取数字化系统一体化调度信息模糊聚类中心,对信息聚类目标函数进行优化,完成调度信息分类过滤。结合大数据技术对调度信息结构层次进行分析,构建调度信息集成模型。实验结果表明,所提模型不仅能够提升调度信息分类过滤能力,同时还能够加强集成效率和容错性。
Because the poor classification and filtering ability of existing integration model,an integrated scheduling information integration model of digital system based on big data is proposed.The integrated scheduling information of digital system is extracted and preprocessed by wavelet multi window spectrum features.The nearest neighbor is fuzzy searched in two-dimensional space to obtain the fuzzy clustering center of integrated scheduling information of digital system,optimize the objective function of information clustering,and complete the classification and filtering of scheduling information.It combines with big data technology,the hierarchy of scheduling information structure is analyzed,and the scheduling information integration model is constructed.The experimental results show that the proposed model can not only improve the classification and filtering ability of scheduling information,but also enhance the integration efficiency and fault tolerance.
作者
李志宏
张书林
周鸿喜
李扬
陈亮
LI Zhi-hong;ZHANG Shu-lin;ZHOU Hong-xi;LI Yang;CHEN Liang(State Grid Information&Telecommunication Branch,Beijing 100761 China)
出处
《自动化技术与应用》
2024年第1期117-120,共4页
Techniques of Automation and Applications
关键词
大数据
数字化系统
一体化调度
信息集成模型
big data
digital system
integrated dispatching
information integration model
