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边缘计算与云计算协同的电子电路数据处理架构OA

中文摘要英文摘要

该文提出一种边缘计算与云计算协同的电子电路数据处理架构.该架构通过边缘层实现数据采集、实时处理与本地决策,有效降低系统延迟;云层提供海量数据存储、深度分析与全局优化能力.2 层之间通过标准化接口与通信协议实现高效协同,形成功能互补的完整体系.该架构在数据处理效率、系统可靠性及资源利用率方面展现显著优势,能够满足工业自动化等场景对实时性与分析深度的双重需求,为电子电路数据处理提供一种高效可靠的解决方案.

This paper proposes an edge-cloud collaborative architecture for electronic circuit data processing.The edge layer enables data acquisition,real-time processing,and local decision-making to effectively reduce system latency,while the cloud layer provides massive data storage,deep analysis,and global optimization capabilities.Through standardized interfaces and communication protocols,the two layers achieve efficient collaboration,forming a fully complementary system.This architecture shows significant advantages in data processing efficiency,system reliability and resource utilization.It can meet the dual needs of real-time and analysis depth in industrial automation and other scenarios,and provides an efficient and reliable solution for electronic circuit data processing.

胡乐

西安奇维科技有限公司,西安 710000

信息技术与安全科学

边云协同数据处理协同架构效能优化云计算

edge-cloud collaborationdata processingcollaborative architectureefficiency optimizationcloud computing

《科技创新与应用》 2026 (18)

104-107,4

10.19981/j.CN23-1581/G3.2026.18.024

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