Data processing method for construction site dust control based on data identification

Abstract

A data processing method for dust control at a construction site based on data identification in the present invention comprises the following steps: step: collecting RGB images of the construction site, processing the RGB images to obtain illumination images and dust images; step: analyzing the dust images of consecutive frames , and obtain the position information of the dust source with the help of the depth image; step: start the dust suppression device, and monitor the change of dust in real time by using the dust light correlation feature; step: perform real-time feedback adjustment on the speed and direction of the dust suppression device according to the monitoring results of the step , to ensure dust suppression effect. The invention can realize the real-time monitoring of the dust suppression effect during the operation process of the dust suppression device through data identification and electric data processing technology, and perform real-time feedback adjustment on the rotation speed and direction of the dust suppression device to ensure good dust suppression effect.

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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