Intelligent occupational health early warning method and system

Abstract

The invention relates to an intelligent occupational health early warning method and system. The method comprises the following steps: carrying out image segmentation on an obtained image of a target area to obtain a dust area image which comprises a light-path-free dust area and at least two light-path dust areas; performing feature extraction on the optical-path dust areas, and calculating corresponding concentration values; dividing different brightness areas according to brightness characteristics of pixel points of each light-path dust area, and acquiring a central point and a position coordinate of each brightness area; acquiring the concentration value of each brightness area according to the brightness characteristics and the concentration value; acquiring an area information sequence of position coordinates and concentration values of the dust area of each optical path; inputting the area information sequence of any two light-path dust areas into a dust concentration network model to obtain area information of the light path-free dust area; and acquiring the concentration value of the target area according to each concentration value of the dust area, and determining the dust risk level of the target area. According to the above scheme of the invention, the accuracy of concentration estimation and the accuracy of early warning are improved.

Description

technical field [0001] The invention relates to the field of chemical enterprise safety, in particular to an intelligent occupational health early warning and prevention system method and system. Background technique [0002] At present, as people pay more attention to health, they pay more and more attention to occupational safety. As we all know, occupational safety and occupational diseases are closely related; and occupational diseases are caused by workers in enterprises, institutions and individual economic organizations who are exposed to dust during their occupational activities. , harmful substances and other factors; therefore, the monitoring of the workplace environment is particularly important. [0003] For the monitoring of dust in chemical enterprises and coal mine underground operations, the existing public methods include: [0004] 1) The dust concentration is measured by the dust concentration detector and the dust concentration sensor, which has disadvant...

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Problems solved by technology

[0006] The purpose of the present invention is to provide an intelligent occupational health early warning method and system to solve the problem of the existing image method due to the light source or light, and the dust cannot be photographed in some areas, so that the dust concentration here cannot be estimated , making it impossible to accurately capture the concentration of the entire workplace

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