Detection system for determining occupational fatigue degree of key industry based on human saliva protein
A salivary protein and fatigue degree technology, applied in the field of fatigue detection, can solve the problems of high monitoring cost, inconvenient detection methods, and large environmental limitations
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Embodiment 1
[0034] like figure 1 shown
[0035] A fatigue detection system based on human saliva protein to determine the degree of fatigue, comprising:
[0036] Biomarker database: used to include biomarkers of saliva fatigue;
[0037] Data collection module: used for data collection of the types, contents and related physical quantities of fatigue biomarkers of human saliva protein to be measured, and at the same time collect basic information of the target to establish files;
[0038] Processor module: used to process and function analyze the collected data signals, and establish a human-computer interaction interface;
[0039] Cloud database: used for remote storage and access to the data of the data acquisition module and processor module;
[0040] Mobile terminal: used for two-way transmission of data from the data acquisition module and the processor module.
[0041] The biomarker database is a known biomarker of human saliva fatigue, and the verified biomarker of saliva fatigu...
Embodiment 2
[0058] A fatigue detection method of a fatigue detection system based on human saliva protein to measure fatigue degree;
[0059] The fatigue detection method includes:
[0060] By collecting the data of saliva fatigue biomarkers for the target to be measured, and transmitting the collected or detected information to the processor module through the mobile terminal, the processor module accesses the cloud database and the biomarker database to establish a data model and perform function analysis, The results are transmitted to the mobile terminal.
[0061] The data module and function analysis set up by the processor module are transmitted to the cloud database for background operation after setting corresponding warning conditions.
[0062] In order to realize real-time monitoring of the fatigue status of occupational groups in key industries, an intelligent auxiliary information support system for fatigue diagnosis is established to conduct intelligent quantitative analysis...
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