AI intelligent dust fall system

A dust-reducing and intelligent technology, applied in closed-circuit television systems, TV system components, televisions, etc., can solve problems such as waste, high construction and maintenance costs, and achieve the effects of saving resources, saving investment, and adjusting the running time in real time

Pending Publication Date: 2021-11-26
郑州博朗鸿智信息科技有限公司
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AI Technical Summary

Problems solved by technology

Personnel can't be closed in time, which will cause unnecessary waste
[0004] In addition, the detection end needs to rely on many sensors, such

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[0025] Next, the technical solutions in the embodiments of the present invention will be described in connection with the drawings of the embodiments of the present invention, and it is understood that the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art are in the range of the present invention without making creative labor premise.

[0026] See Figure 1-4 A smart dust AI system, comprising a video image acquisition system, the information transmission system 2, the monitoring center 3, the control system 4 and automatic guns fog, mist curtain dust device 5, a video image capture system capture video images jobsite information is transmitted to the monitoring center via information transmission system 23, the monitoring center using 3 video image analysis and artificial intelligence learning method of the vid...

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Abstract

The invention discloses an AI intelligent dust fall system, which comprises a video image acquisition system, an information transmission system, a monitoring center, an automatic control system, a fog gun dust fall device and a fog curtain dust fall device, and is characterized in that the video image acquisition system acquires video image information of a working site and sends the video image information to the monitoring center through the information transmission system; and the monitoring center analyzes video image information by adopting a video image analysis and artificial intelligence deep learning method, recognizes the current air quality, and outputs an alarm signal on one hand and controls the fog gun and the fog curtain dust falling equipment to be started through the automatic control system on the other hand after the current air quality exceeds the standard. According to the invention, rapid and efficient deployment can be realized, and investment is saved; the monitoring center is respectively associated with the video image acquisition system, the fog gun and the fog curtain dust removal equipment, the air quality condition of the working site is analyzed and identified according to the acquired video image of the working site, the fog gun and the fog curtain dust removal equipment can be automatically controlled to be started, and resources are saved.

Description

technical field [0001] The invention relates to the technical field of intelligent dust removal and dust reduction, in particular to an AI intelligent dust reduction system. Background technique [0002] In recent years, air pollution has become increasingly serious. In response to the country's call to "strengthen the control of unorganized dust in industrial enterprises" and "do a good job in building the environmental capabilities of industrial enterprises", industrial enterprises have actively responded to the government's call. Control unorganized dust and smoke emissions from raw material storage yards, and install dust removal equipment such as fog cannons and fog curtains on a large scale. [0003] The large-scale installation and use of dust removal equipment such as fog cannons and fog curtains requires industrial enterprises to invest in special personnel to take care of and maintain them, and requires a large amount of industrial water and electricity. Personnel...

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Application Information

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IPC IPC(8): H04N5/225H04N7/18B01D47/06G06K9/00G08B21/12
CPCH04N7/18B01D47/06G08B21/12H04N23/00
Inventor 张丰捷陈芸
Owner 郑州博朗鸿智信息科技有限公司
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