Food safety risk monitoring physicochemical data analysis system

Abstract

The invention discloses a food safety risk monitoring physicochemical data analysis system which comprises a monitoring task module, a monitoring sample collection module, a monitoring sample detection module, a monitoring data reporting module and a monitoring data analysis early warning module. The monitoring task module provides national food safety risk monitoring task distribution, feedback and progress tracking. The monitoring sample monitoring module provides information recording and data positioning in a sample collection process. The monitoring sample monitoring module provides automatic data processing in the sample inspection process. The monitoring data reporting module is used for reporting, checking and verifying a monitoring result; and monitoring data analysis early warning provides a dynamic analysis report and abnormal data early warning prediction. According to the detection and inspection data management system, standardization of data generation, automation of data processing and intelligentization of data full tracing in the data management process of food safety risk monitoring can be effectively achieved through reasonable module arrangement, the labor costis effectively reduced, and the management level is improved.

Description

technical field [0001] The invention relates to the technical field of food safety, in particular to a physical and chemical data analysis system for food safety risk monitoring. Background technique [0002] As an institution responsible for national food safety risk assessment, monitoring, and early warning, the National Food Safety Risk Assessment Center issues food risk monitoring reports to provincial-level food safety risk monitoring platforms, food safety monitoring points at all levels, and grassroots sentinel hospitals on an annual basis. The plan mainly covers: chemical pollutant data, microbiological data, foodborne disease data, radioactive pollution data, etc.; Guizhou Province formulates its own food risk monitoring plan every year according to the food risk monitoring plan notice issued by the state and combined with the actual situation, and It is distributed to executive agencies at all levels, covering 9 cities and prefectures, 88 districts and counties, mo...

AI Technical Summary

Problems solved by technology

[0004] 1. The lack of unified data management standards has led to data barriers between various units and regions, forming de facto "information islands", unable to realize the transformation from "big data" to "big data", reducing data the availability of

[0005] 2. Fragmented storage of data, on the one hand, increases the difficulty of comprehensive data management, and on the other hand, greatly increases the risk of data loss or data leakage;

[0006] 3. The lack of a unified information management platform and the inability to realize data interaction and aggregation make the development of food risk monitoring slow in terms of data analysis, data mining, information sharing, and decision support.

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