Cloud mode-based third-party service platform and method for workplace dust monitoring

Abstract

The invention discloses a cloud mode-based third-party service platform for workplace dust monitoring. The platform comprises a workplace dust on-line monitoring unit, a third-party service platform for workplace dust monitoring and a workplace dust monitoring service system, wherein the workplace dust on-line monitoring unit is used for collecting workplace dust concentration data and location information of workplace practitioners in real time; the third-party service platform for workplace dust monitoring forms a classified subject database by the workplace dust concentration data and the location information of the workplace practitioners collected by the workplace dust on-line monitoring unit in real time and employee health file data, and provides data support for the workplace dustmonitoring service system; the workplace dust monitoring service system displays workplace dust on-line monitoring results. The information is transmitted to the third-party monitoring service platform of a workplace through an industrial network of the workplace, and the workplace dust on-line monitoring results are displayed simultaneously. By means of the service platform, workplace dust monitoring can be intelligently managed, manual intervention can be reduced, and the workplace dust monitoring service level in China is improved.

Description

technical field [0001] The invention belongs to the field of intelligent monitoring of dust in workplaces, and in particular relates to a third-party service platform and method for dust monitoring in workplaces based on cloud mode. Background technique [0002] The dust hazard in the workplace is the main component of occupational hazards. At present, the dust monitoring in the workplace is mostly based on manual sampling. Manual sampling inspection requires a large number of professionals to go to the workplace for sampling inspection, and there is a problem of low coverage. Most of the companies that are not covered, the dust environmental parameters measured by themselves, due to human factors such as irregular operation and fraud, lead to serious data inaccuracy. Therefore, the dust monitoring method in the workplace, which is mainly based on manual sampling inspection, needs to be reformed and upgraded urgently. [0003] At present, my country's workplace dust monito...

AI Technical Summary

Problems solved by technology

However, the systems or data centers mentioned above mostly store static data such as employee health records, or monitor based on a specific...

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