Construction site dust control data processing method based on data identification

Abstract

The invention discloses a construction site dust control data processing method based on data identification, and the method comprises the following steps: collecting an RGB image of a construction site, and processing the RGB image to obtain an illumination image and a dust image; analyzing continuous frames of dust images, and obtaining position information of a dust source by means of a depth image; starting a dust suppression device, and monitoring dust changes in real time through dust illumination correlation characteristics; and performing real-time feedback adjustment on the rotating speed and direction of the dust suppression device according to the monitoring result of the step to guarantee the dust suppression effect. Real-time monitoring of the dust suppression effect in the operation process of the dust suppression device can be achieved through the data recognition and electric data processing technology, real-time feedback adjustment is conducted on the rotating speed and the direction of the dust suppression device, and the good dust suppression effect is guaranteed.

Description

technical field [0001] This application relates to the field of data identification, in particular to a data processing method for site dust control based on data identification. Background technique [0002] With developments such as computer big data and artificial intelligence, data recognition and electrical data processing technologies have been developed. In particular, the latest technologies such as artificial intelligence image recognition, deep learning, and machine learning have been developed, intelligent services that automatically recognize data and provide information related to data or provide services related to data are used in various fields, applying data In various fields of identification and electrical data processing technology, such as construction site dust control, the existing technology uses dust suppression spray devices to suppress dust, but before turning on the dust suppression device, it uses the collected construction site environmental ima...

AI Technical Summary

Problems solved by technology

In particular, the latest technologies such as artificial intelligence image recognition, deep learning, and machine learning have been developed, intelligent services that automatically recognize data and provide information related to data or provide services related to data are used in various fields, applying data In various fields of identification and electrical data processing technology, such as construction site dust control, the existing technology uses dust suppression spray devices to suppress dust, but before turning on the dust suppression device, it uses the collected construction site environmental images to achieve dust suppression. The environmental images of the conditions are compared, and then analyzed to obtain the control command of whether to turn on the dust suppression spray device for dust suppression. Since the dust suppression spray device needs to spray water mist to suppress dust after it is turned on, the existing technology cannot distinguish between dust and dust in the environment. Water mist, unable to identify the data in the dust suppression process and process the electrical data, will not be able to start and stop the dust suppression device in a timely manner. The direct problems are the unsatisfactory dust suppression effect and the waste of water and electricity resources.

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