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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

Pending Publication Date: 2021-07-30
HEBEI UNIV OF ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The applicant’s prior application CN 106814145 B discloses a method for measuring human fatigue, by detecting Nucleobindin-2 (NUCB2): Nucleonectin-2 in saliva to determine whether fatigue and the degree of fatigue; CN 106706929 B discloses a method using saliva to detect The method of human fatigue is to determine the state of health by detecting the content of specific proteins in saliva; through the previous research, the markers for human saliva protein to determine the degree of fatigue were determined, and the influence of the expression of fatigue protein markers on the fatigue process was clarified, and the problem was solved. At present, fatigue detection has problems such as inconvenient detection methods, high monitoring costs, large environmental limitations, and inconvenient sampling. Therefore, it is suitable for rapid measurement and evaluation of fatigued people, and it is a new idea for occupational fatigue prevention and control and clinical application; In the application process, how to establish a fatigue detection system combined with big data to carry out network monitoring, realize data collection, how to establish a fatigue detection system and introduce it into the occupational fatigue monitoring system of key industries are problems that need to be solved urgently in this field

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  • Detection system for determining occupational fatigue degree of key industry based on human saliva protein

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Experimental program
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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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Abstract

The invention discloses a detection system for determining the occupational fatigue degree of key industries based on human saliva protein, and relates to the technical field of fatigue detection. The fatigue detection system comprises a biomarker database, a data acquisition module, a processor module, a cloud database and a mobile terminal, network visual detection is realized by establishing a fatigue crowd biomarker database, a front-end saliva fatigue biomarker parameter acquisition and information processing system is applied to carry out monitoring, the physical quantity data such as the type content of fatigue biomarkers are collected and monitored, the processor module carries out processing and function analysis on the collected data signals, a man-machine interaction interface is established, a fatigue prevention and control technology network system is constructed through cloud data, the data are sent to the monitoring terminal through a network, the fatigue degree of the occupational population is prejudged by prevention and control personnel, prevention and control measures are taken, and a prevention and control system covering links of health management, fatigue detection, risk assessment, alarm intervention and the like is constructed.

Description

technical field [0001] The invention relates to the technical field of fatigue detection, in particular to a detection system for measuring occupational fatigue in key industries based on human saliva protein. Background technique [0002] Fatigue refers to the general term for the obvious decline in the physiological functions and working ability of various systems, organs or the whole body of people during the labor production process. It is a complex physiological phenomenon that occurs in the human body, and various physiological characteristic parameters of the human body will change accordingly. As my country's modern work intensity, precision, and independent work are getting higher and higher, people are often in a state of continuous or emergency fatigue. Fatigue can cause distraction, unresponsiveness, or decreased body coordination. In high-risk occupational operations such as homework, vehicle driving, aerospace, and large-scale complex industries, it may lead to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00G01N33/68G01N27/62
CPCA61B5/00A61B5/746A61B5/7267G01N33/6848G01N33/6893G01N2800/60G01N2800/40
Inventor 梁爽许岩丽王彦冰黄云飞剧一劳之懿鲍晓旭
Owner HEBEI UNIV OF ENG
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