Real-time individual working dust concentration exposure space rule monitoring and early warning system and method

Abstract

The invention discloses a real-time individual working dust concentration exposure space rule monitoring and early warning system and method. The system comprises a dust concentration sensor network, a cloud server and protective clothing positioning wearable equipment. The method comprises the steps of: a dust concentration sensor at each position is calibrated by adopting a multivariate linear method; then the cloud server combines dust concentration values detected by the dust concentration sensors with respective position information, obtains a dust concentration spatial distribution rule of a workplace after comprehensive analysis, and delimits an area exceeding the threshold value in the space of the workplace as an overrun area according to a set dust concentration threshold value; and finally, the protective clothing positioning wearable equipment sends a position of a worker in the place to the cloud server in real time, the cloud server compares each piece of real-time position information with the real-time over-limit area, and if the worker is in the real-time over-limit area, the cloud server sends an alarm signal to the protective clothing positioning wearable equipment, so that an audible and visual alarm gives an alarm to remind the worker that the dust concentration exceeds the limit.

Description

technical field [0001] The invention relates to a real-time monitoring and early warning system and method for individual work dust concentration exposure spatial regularity, belonging to the field of work dust exposure monitoring and early warning. It is especially suitable for monitoring and early warning of respiratory and lung diseases caused by inhalation of work dust in construction, wood processing, metal processing, mine operations and other job sites that are exposed to high concentrations of dust and have high occupational health risks. Background technique [0002] The generation of dust is an unavoidable factor in industrial production operations, which poses a huge threat to the respiratory and lung health of workers during the operation. Staff who work in high concentration of dust for a long time are prone to occupational diseases such as pneumonia, lung cancer and pneumoconiosis. Therefore, it is extremely necessary to monitor the dust in the workplace where...

AI Technical Summary

Problems solved by technology

However, because the light scattering method is easily interfered by external factors such as atmospheric temperature, relative humidity, and wind speed, the possibility of its direct application to real-time monitoring of individual workers and the overall dust concentration of the workplace is limited.

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