摘要
医院电气系统的有效管理及状态监测对于保障医疗服务的安全与质量至关重要。随着大数据技术的发展,首先从数据来源、管理主体、管理理论、管理流程这4个维度分析了当今医院电气系统的管理模式变化。随后,整合了机器的数据处理能力与人类的知识推理优势,将数据驱动中的感知计算与知识库驱动中的演绎推理相结合,输出了数据与知识库双驱动下的医院电气系统智能管理模式。最后,提出了一种基于数据驱动和知识库的状态监测及故障诊断模型,该模型按照协同感知、知识库和任务求解3个层级构建,覆盖了系统管理的全生命周期,确保了电气系统的安全稳定运行。
Effective management and status monitoring of hospital electrical systems are crucial for ensuring the safety and quality of medical services.With the development of big data technology,this paper first analyzes the changes in the management mode of hospital electrical systems from four dimensions:data sources,management subjects,management theories,and management processes.Subsequently,this paperintegrated the data processing capabilities of machines with the knowledge reasoning advantages of humans,combining data-driven perceptual computing with knowledge base driven deductive reasoning to output an intelligent management mode for hospital electrical systems under the dual drive of data and knowledge base.Finally,this paper proposes a data-driven and knowledge-based model for state monitoring and fault diagnosis.The model is constructed at three levels:collaborative perception,knowledge base,and task solving,covering the entire lifecycle of system management and ensuring the safe and stable operation of electrical systems.
作者
向升
XIANG Sheng(The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture,Enshi,Hubei 445000,China)
出处
《自动化应用》
2025年第14期102-105,共4页
Automation Application
关键词
医院电气系统
管理模式
数据驱动
知识库
hospital electrical system
management mode
data-driven
knowledge base
