A real-time monitoring system for industrial environment based on big data

Abstract

The invention discloses a real-time industrial environment monitoring system based on big data, including an environmental parameter acquisition module, an environmental parameter preprocessing module, an environmental parameter analysis module, a manual input module, a management database, a management server, an early warning module and a display terminal; the present invention The real-time monitoring system of the industrial environment based on big data is provided, which collects and preprocesses the air temperature, air humidity, and harmful gas concentration in each height section of the workshop, analyzes the environmental proportional coefficient in the workshop, and judges according to the environmental proportional coefficient of the workshop The level of early warning, and then early warning of the workshop environment, improves the accuracy of the collection of harmful gas concentrations in the workshop, and can reasonably take targeted and effective measures based on the early warning level to avoid major safety accidents.

Description

technical field [0001] The invention relates to the technical field of industrial environment monitoring, and relates to a real-time industrial environment monitoring system based on big data. Background technique [0002] With the continuous development of modern industry, various types of pollution sources emitted by various industrial enterprises such as manufacturing and chemical industries have also increased sharply, especially in the production workshops of enterprises. During the production process, harmful gases discharged into the air of the workplace Not only directly affect the safety and health of operators, but also pollute the surrounding environment. In order to control the impact of harmful gases on the health of workers, it is necessary to monitor the production and operating environment. The traditional monitoring method is to place a single gas monitoring instrument in the production workshop to monitor the concentration of harmful gases in the air, and ...

AI Technical Summary

Problems solved by technology

The traditional monitoring method is to place a single gas monitoring instrument in the production workshop to monitor the concentration of harmful gases in the air, and give an early warning when the concentration of harmful gases exceeds the standard; this monitoring method is a single-point monitoring, which does not take into account the gas density and atmospheric pressure. The relationship between the space height and atmospheric pressure in a workshop is different, and the gas concentration value is different. Therefore, the traditional monitoring method cannot comprehensively monitor the gas concentration in the workshop environment from multiple angles, and the accuracy rate is not high. At the same time, the traditional monitoring method The early warning is only a simple early warning, and it is impossible to take targeted early warning measures according to the concentration of harmful gases in the workshop environment. There is a problem of generalized early warning. In order to solve the above problems, a real-time monitoring system for industrial environment based on big data is now designed.

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