Unmanned aerial vehicle collected image-based construction fugitive dust pollution source automatic monitoring and influence scope prediction system and method

A technology for collecting images and affecting the scope, applied in image data processing, graphic image conversion, computer parts and other directions, can solve problems such as low efficiency and limited scope, and achieve the goal of overcoming low efficiency, improving efficiency, and improving image processing efficiency. Effect

Active Publication Date: 2016-12-07
JIANGSU UNIV
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Problems solved by technology

[0006] The invention overcomes the shortcomings of low efficiency and limited range of traditional manual monitoring of pollution sources, and provides a method and system for automatic monitoring of construction dust pollution sources and prediction of influence ran

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  • Unmanned aerial vehicle collected image-based construction fugitive dust pollution source automatic monitoring and influence scope prediction system and method
  • Unmanned aerial vehicle collected image-based construction fugitive dust pollution source automatic monitoring and influence scope prediction system and method
  • Unmanned aerial vehicle collected image-based construction fugitive dust pollution source automatic monitoring and influence scope prediction system and method

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Embodiment Construction

[0053] The implementation of a system and method for automatic monitoring of construction dust pollution sources and prediction of influence range based on images collected by drones provided by the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0054] Such as figure 1 As shown, a schematic diagram of a construction dust pollution source automatic monitoring and influence range prediction system based on UAV aerial images, including two subsystems: the aerial photography system and the ground supervision and processing system;

[0055] Further, the aerial photographing system includes an aerial photographing rotorcraft, a mobile device and a control terminal.

[0056] Furthermore, the aerial photography rotorcraft is connected with the mobile device and the control terminal, and adopts a wireless connection for information transmission, and a 2.4GHz wireless connection can be used.

[0057] The functions of each co...

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Abstract

The invention discloses an unmanned aerial vehicle collected image-based construction fugitive dust pollution source automatic monitoring and influence scope prediction system and method. The system comprises an aerial photographing system and a ground supervising and processing system, wherein the aerial photographing system comprises an aerial photography rotor aircraft, a mobile device and a control terminal; the mobile device and the control terminal communicated with the aircraft in a wireless manner, the aircraft is controlled to collect pollution source monitoring zone images, and the ground supervising and processing system comprises an image processing unit and a user terminal; the image processing unit is used for preliminary screening, distortion correction and smoothing of qualified images among aerial photos; the image processing unit is also used for pollution source RGB color characteristic enhancement, edge detection, pollution source existence determination and recheck, suspected pollution source characteristic extraction, pollution source RGB color characteristic value extraction, suspected pollution source characteristic comparison, image splicing, and pollution source distribution analysis and influence scope prediction; the user terminal can display complete pollution source monitoring area images, pollution source distribution map and influence scope prognostic maps.

Description

technical field [0001] The invention relates to the fields of green construction management and urban environment monitoring, in particular to a system and method for automatic monitoring of construction dust pollution sources and prediction of influence range based on images collected by drones. Background technique [0002] Dust generated at construction sites is one of the important causes of construction workers suffering from occupational diseases and urban air pollution. At present, the monitoring of construction dust pollution still relies on manual inspection for visual monitoring. Due to the limited visual range and energy of monitoring personnel, the monitoring effect of construction dust pollution sources is not good. Therefore, in the field of construction dust pollution monitoring, there is an urgent need for an intelligent and automated method and system for monitoring construction dust pollution sources and predicting the scope of influence. [0003] At the s...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06T3/40
CPCG06T3/4038G06V20/13G06V10/50G06V10/56
Inventor 韩豫马国鑫姚佳玥张泾杰孙昊尤少迪
Owner JIANGSU UNIV
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