Laboratory management early warning system based on cloud data analysis and early warning method thereof

Abstract

The invention discloses a laboratory management early warning system based on cloud data analysis and an early warning method thereof. The laboratory management early warning system comprises a big data cloud computing data analysis module, a data storage module, laboratory main body equipment, a data integration and exchange module, a data center, a data processing module, an experimental data storage module and a core module. Experimental data and experimental environment data of a laboratory are actively collected in real time by the system platform, the real-time performance and authenticity of the data are ensured, manual modification of the data is avoided, and a mass database of the platform stores all historical experimental data, so that the experimental data can be traced and traced; interaction of the system portal website is optimized through a data standardization processing module in the data processing module and a first development package and a second development package in the data center, the response speed is high when a user accesses at the access speed, delay is reduced when a webpage is opened, and the access concurrency can be improved by optimizing data integration configuration.

Description

Technical field: [0001] The invention relates to the technical field of laboratory early warning, in particular to a laboratory management early warning system and an early warning method based on cloud data analysis. Background technique: [0002] As we all know, food safety issues are attracting more and more people's attention. In order to improve the product quality monitoring system and improve product quality, many food companies have established enterprise laboratories, because food safety hazards mainly arise from food production, processing, storage, In the sales and consumption process, the main factors affecting food safety include not only physical pollution, but also chemical and biological pollution. Enterprises should use physical, chemical and biological methods to conduct targeted detection and analysis of possible pollution, and at the same time control Therefore, the establishment of suitable laboratories has become one of the important factors in the food...

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Problems solved by technology

[0003] However, its existing food laboratory industry experimental data and experimental environment data management is for local operators to record or local computer storage, the real-time and authenticity of the data is low, and when the laboratory is used for a long time, massive data stores all history The record of the number of experiments is relatively backward and the existing small and medium-sized laboratories lack management and operation agencies and service platforms for laboratory construction and operation. Therefore, a laboratory management early warning system and early warning method based on cloud data analysis is proposed

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