Data acquisition and management of remote crane monitoring system based on CAN bus

Zhufeng Li, Guangquan Yang, Xu Du, Xin Liu
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引用次数: 1

Abstract

Data acquisition and management are key links of RCMS. Without reasonable data acquisition method or excellent data organization and management structure, the reliable operation of RCMS is impossible. In this paper, the architecture of remote crane monitoring data flow is established, and sorted data acquisition is analyzed and designed according to the characteristics of field monitoring data, and hybrid acquisition of mass of different data is solved. The E-R database model and data management structure is established, thus improves the robustness and maintainability of monitoring system. In order to ensure the data continuity during the disconnection-recovery of field wireless network, real-time database and CMS gateway are designed. This study solves the data acquisition and data management of RCMS and based on this, further fault diagnosis, performance prediction and none downtime intelligent maintenance of cranes are much more prone to implement.
基于CAN总线的起重机远程监控系统的数据采集与管理
数据采集和管理是RCMS的关键环节。没有合理的数据采集方法和优秀的数据组织管理结构,就不可能实现RCMS的可靠运行。本文建立了远程起重机监测数据流体系结构,并根据现场监测数据的特点,对数据采集进行了分类分析和设计,解决了大量不同数据的混合采集问题。建立了E-R数据库模型和数据管理结构,提高了监控系统的鲁棒性和可维护性。为了保证现场无线网络断网恢复过程中的数据连续性,设计了实时数据库和CMS网关。本研究解决了RCMS的数据采集和数据管理问题,在此基础上进一步实现起重机的故障诊断、性能预测和无停机智能维护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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