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.

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