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Method for sampling and intersecting positioning of drone for air pollution emission monitoring

A technology of cross positioning and UAV, which is applied in the direction of measuring distance, measuring device, line-of-sight measurement, etc. It can solve the problem of difficult determination of high-altitude detection position, and achieve the effect of low manufacturing cost, easy operation and high accuracy

Pending Publication Date: 2018-06-15
天津环科瞻云科技发展有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a UAV sampling cross-location method for air pollution emission monitoring to solve the problem that the high-altitude detection position is not easy to determine in the above-mentioned background technology

Method used

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  • Method for sampling and intersecting positioning of drone for air pollution emission monitoring

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Experimental program
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Effect test

Embodiment 1

[0018] A sampling cross positioning method for air pollution emission monitoring by unmanned aerial vehicles, comprising the following steps:

[0019] The first step: determine the distance between the infrared thermal imager and the smoke source; the selection of the baseline length (the distance between the infrared thermal imager and the smoke source) is based on the principle of ensuring that the infrared thermal imager can see the complete smoke plume threshold contour line, generally can be At about 500 meters, the two observation points should be selected on both sides of the smoke axis as much as possible, and the optical axis of the thermal instrument lens should be perpendicular to the average wind direction as much as possible;

[0020] The second step is to determine the relative position of the drone and the flare plume; use two infrared thermal imagers to monitor the relative position of the drone and the flare plume, and observe the center of the drone and the pl...

Embodiment 2

[0025] A sampling cross positioning method for air pollution emission monitoring by unmanned aerial vehicles, comprising the following steps:

[0026] The first step: determine the distance between the infrared thermal imager and the smoke source; the selection of the baseline length (the distance between the infrared thermal imager and the smoke source) is based on the principle of ensuring that the infrared thermal imager can see the complete smoke plume threshold contour line, generally can be At about 500 meters, the two observation points should be selected on both sides of the smoke axis as much as possible, and the optical axis of the thermal instrument lens should be perpendicular to the average wind direction as much as possible;

[0027] The second step is to determine the relative position of the drone and the flare plume; use two infrared thermal imagers to monitor the relative position of the drone and the flare plume, and observe the center of the drone and the pl...

Embodiment 3

[0032] A sampling cross positioning method for air pollution emission monitoring by unmanned aerial vehicles, comprising the following steps:

[0033] The first step: determine the distance between the infrared thermal imager and the smoke source; the selection of the baseline length (the distance between the infrared thermal imager and the smoke source) is based on the principle of ensuring that the infrared thermal imager can see the complete smoke plume threshold contour line, generally can be At about 500 meters, the two observation points should be selected on both sides of the smoke axis as much as possible, and the optical axis of the thermal instrument lens should be perpendicular to the average wind direction as much as possible;

[0034] The second step is to determine the relative position of the drone and the flare plume; use two infrared thermal imagers to monitor the relative position of the drone and the flare plume, and observe the center of the drone and the pl...

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Abstract

The invention belongs to the technical field of air pollution monitoring and particularly relates to a method for sampling and intersecting positioning of a drone for air pollution emission monitoring. The method comprises 1, determining the distance between an infrared thermal imager and a smoke source, 2, determining the relative positions of a drone and torch smoke plume, 3, determining the flying height and position of the drone through laser, and 4, carrying out sampling through the drone. The method fast determines the acquisition height and position of the drone through the infrared thermal imager and a laser pen, has high accuracy, is easy to operate and realizes a low manufacturing cost.

Description

technical field [0001] The invention belongs to the technical field of air pollution monitoring, and in particular relates to an unmanned aerial vehicle sampling cross positioning method for air pollution discharge monitoring. Background technique [0002] At present, there are many types and quantities of enterprises in chemical parks, and there are many types of characteristic pollutants, most of which are toxic and harmful gases. There is no effective supervision method for the discharge of VOCs and odorous gases, and there is no information on the distribution and transmission of high-altitude pollutants in chemical parks. Better monitoring methods, daily environmental management still rely on traditional online monitoring and ground monitoring data, research on environmental three-dimensional monitoring methods is relatively weak, gas monitoring types and point coverage are not comprehensive, monitoring level and energy efficiency need to be improved urgently. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C3/02
CPCG01C3/02
Inventor 黄浩云张晓旭张丽娜周阳姚立英秦龙李志强陈璐
Owner 天津环科瞻云科技发展有限公司
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