The development of Internet of Things technology provides a real-time data collection platform for laboratory management, and data visualization provides new ideas for object-oriented behavior management. This article introduces an intelligent laboratory management system with a computer as the core and introduces it in detail. This article compares the performance of typical visualization systems at home and abroad, and discusses the development and implementation of a typical intelligent laboratory management system, the visual expression of the system, and its impact on the behavior of experimenters. The article empirically analyzes the role of behavior in laboratory learning and proposes ideas for further development (Before the system was put into use, employees in the position spent 2.18 h processing laboratory data every day, and after the system was put into use, it only took 1.02 h, indicating that the put into use of the system can effectively reduce the time spent on data processing).

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Visual Cloud Processing System for Intelligent Management of Real-Time Laboratory Data

  • Licong Chen

摘要

The development of Internet of Things technology provides a real-time data collection platform for laboratory management, and data visualization provides new ideas for object-oriented behavior management. This article introduces an intelligent laboratory management system with a computer as the core and introduces it in detail. This article compares the performance of typical visualization systems at home and abroad, and discusses the development and implementation of a typical intelligent laboratory management system, the visual expression of the system, and its impact on the behavior of experimenters. The article empirically analyzes the role of behavior in laboratory learning and proposes ideas for further development (Before the system was put into use, employees in the position spent 2.18 h processing laboratory data every day, and after the system was put into use, it only took 1.02 h, indicating that the put into use of the system can effectively reduce the time spent on data processing).