Automatic early warning system for excessive dust in concrete plant

Abstract

The invention provides an automatic early warning system for excessive dust in a concrete plant, comprising a dust concentration monitoring module, a base station module and an excess early warning module; the dust concentration monitoring module comprises multiple sensor nodes, the multiple sensor nodes are randomly deployed in set dust monitoring areas of the concrete plant, and the sensor nodesare used for acquiring dust concentration data at monitored positions respectively; the base station module aggregates the dust concentration data of each sensor node, processes and then forwards tothe excess early warning module; and the excess early warning module is used for analyzing and processing the dust concentration data sent by the base station module and executing an alarm when the dust concentration data exceeds a set concentration threshold value.

Description

technical field [0001] The invention relates to the field of dust monitoring in concrete plants, in particular to an automatic warning system for dust exceeding the standard in concrete plants. Background technique [0002] In related technologies, most of the environmental data collection and statistical work in the factory area is still at the backward level of manual reading and table checking, and human errors are accompanied by it, which brings great difficulties to the environmental data management work. For example, in the production process of concrete and admixtures, the problem of excessive dust in each workstation is mainly manual detection and manual treatment. The method is outdated and cannot be handled in time, which is likely to cause serious pollution to the surrounding environment. In order to continuously obtain more accurate environmental data of concrete plant dust, an effective concrete plant environmental monitoring and management platform should be es...

AI Technical Summary

Problems solved by technology

[0002] In related technologies, most of the environmental data collection and statistical work in the factory area still stays at the backward level of manual reading table, and human error is accompanied by it, which brings great difficulties to environmental data management.

For example, in the production process of concrete and admixtures, the problem of dust exceeding the standard in each workstation is mainly manual detection and manual treatment. The method is outdated and cannot be processed in time, which is likely to cause serious pollution to the surrounding environment.

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