Intelligent occupational health early warning method and system

A hygienic and occupational technology, applied in biological neural network models, instruments, computer parts, etc., can solve problems such as inability to accurately obtain concentration, inability to capture dust, inability to estimate dust concentration, etc., to achieve the effect of ensuring accuracy

Pending Publication Date: 2022-02-15
河南鑫安利安全科技股份有限公司
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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

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  • Intelligent occupational health early warning method and system
  • Intelligent occupational health early warning method and system
  • Intelligent occupational health early warning method and system

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Embodiment Construction

[0058] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be introduced below in conjunction with the drawings in the embodiments of the present invention.

[0059] The technical scheme of an intelligent occupational health early warning and prevention and control system of the present invention is aimed at the detection of dust in the environment of chemical enterprise sites or underground coal mine workplaces, and uses the combination of cameras and light sources to collect dust images. It also extracts the features of the dust image, analyzes and obtains the concentration parameters of indoor dust, carries out early warning of dust risks, and takes corresponding measures to eliminate dust in the site, so as to provide a good working environment for the staff in the site and ensure the safety of the staff. of good health.

[0060] Specif...

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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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Application Information

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IPC IPC(8): G06V10/26G06V10/50G06V10/82G06N3/04G01N15/06
CPCG01N15/06G06N3/045
Inventor 孔庆端杨耀党王秋溢吴洋楠康乐胡松涛李先占孟丹丹贾志闯田雷谢康赵婕李键毛春丽臧亚萌冯东方张雨杨蕊
Owner 河南鑫安利安全科技股份有限公司
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