2019 VOL.2 Jun No.3

• Title: Design of Automatic Monitoring System for Superconductivity Data Based on Cloud Computing
• Name: Cornelius Boersch
• Company: St. Clair College
• Abstract:

  Aiming at the shortcomings of traditional electric superconducting data monitoring system during monitoring and poor precision, a design of automatic power data detection system based on cloud computing technology is proposed. The power data automatic monitoring system based on cloud computing technology adopts a modular design mode. The main hardware structure includes signal acquisition module, DSP signal processing module and ARM processing module. The data signal acquisition and data monitoring method uses a multi-channel synchronous sampling working mode, which can effectively improve the monitoring accuracy of the power data. In the software design process, the cloud computing technology is applied to the server-side system analysis method. Automated detection and monitoring of superconducting force data. The experimental data show that the proposed monitoring system design can effectively reduce the monitoring delay and improve the processing efficiency and processing accuracy of the power superconducting data.

• Keyword: Cloud Computing; Superconductivity Data; Automated Monitoring;
• DOI: 10.12250/jpciams2019030114
• Citation form: Cornelius Boersch.Design of Automatic Monitoring System for Superconductivity Data Based on Cloud Computing[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 96-100.

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