CN203439256U - Multi-rotor-wing unmanned aerial vehicle for monitoring and tracing pollution gas - Google Patents
Multi-rotor-wing unmanned aerial vehicle for monitoring and tracing pollution gas Download PDFInfo
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- CN203439256U CN203439256U CN201320553876.XU CN201320553876U CN203439256U CN 203439256 U CN203439256 U CN 203439256U CN 201320553876 U CN201320553876 U CN 201320553876U CN 203439256 U CN203439256 U CN 203439256U
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Abstract
The utility model provides a multi-rotor-wing unmanned aerial vehicle for monitoring and tracing pollution gas, which comprises an unmanned aircraft airframe and a plurality of rotor wing components for driving the unmanned aircraft airframe, wherein gas sensors are respectively arranged on the unmanned aircraft airframe in various directions; a GPS positioning module, a power supply, a processor and a flight controller are arranged in a loading cabin at the center of the unmanned aircraft airframe; the GPS positioning module, the power supply and the gas sensors are respectively connected with the processor; the processor is connected with the flight controller. According to the utility model, the gas sensors are arranged on the unmanned aerial vehicle, so that the unmanned aerial vehicle is particularly suitable for monitoring the polluted areas which are low in visibility, the pollution situation of the polluted areas can be comprehensively acquired, and the accurate analysis on the pollution situation of the polluted areas is facilitated.
Description
Technical field
The utility model belongs to unmanned vehicle technical field, is specifically related to a kind of for dusty gas monitoring and many rotor unmanned aircrafts of tracing to the source.
Background technology
China's air environmental pollution Frequent Accidents, is occurring that high temperature, severe toxicity, dense smoke etc. are not suitable for the close emergent scene of crowd, and unmanned vehicle can replace people to enter scene carrying out emergency monitoring.
At present, unmanned vehicle is mainly in the application of environmental area: adopt unmanned vehicle to carry the equipment of taking photo by plane, by the equipment of taking photo by plane to the Polluted area evidence obtaining of taking photo by plane, thereby obtain video or the graphicinformation of Polluted area, by video or graphicinformation are analyzed, know the particular case of Polluted area.The subject matter of this kind of method existence is: only obtain video or the graphicinformation of Polluted area, have single, the incomplete advantage of Polluted area acquisition of information, be unfavorable for the pollution condition of Polluted area to carry out Accurate Analysis.
Utility model content
The defect existing for prior art, it is a kind of for dusty gas monitoring and many rotor unmanned aircrafts of tracing to the source that the utility model provides, a plurality of gas sensors are set on this unmanned vehicle, can know the comprehensive pollution condition of Polluted area comprehensively, be conducive to the pollution condition of Polluted area to carry out Accurate Analysis.
The technical solution adopted in the utility model is as follows:
It is a kind of for dusty gas monitoring and many rotor unmanned aircrafts of tracing to the source that the utility model provides, and comprising: unmanned aerial vehicle body and a plurality of rotor assemblies that drive described unmanned aerial vehicle body; All directions at described unmanned aerial vehicle body are arranged respectively gas sensor; In the load storehouse of described unmanned aerial vehicle body central authorities, GPS locating module, power supply, treater and flight controller are set; Described GPS locating module, described power supply and gas sensor described in each are connected with described treater respectively; Described treater is connected with described flight controller.
Preferably, in described load storehouse, image collecting device is also set; The mouth of described image collecting device is connected with described treater.
Preferably, in described load storehouse, data link is also set; Described data link is connected with described treater.
Preferably, described unmanned aerial vehicle body is installed 4 gas sensors altogether, that is: the 1st gas sensor, the 2nd gas sensor, the 3rd gas sensor and the 4th gas sensor; Wherein, described the 1st gas sensor is arranged on the place ahead in described unmanned aerial vehicle body left side; Described the 2nd gas sensor is arranged on the rear in described unmanned aerial vehicle body left side; Described the 3rd gas sensor is arranged on the place ahead on described unmanned aerial vehicle body right side; Described the 4th gas sensor is arranged on the rear on described unmanned aerial vehicle body right side.
Preferably, described gas sensor is that PID optic ionized sensor, infrared type sensor, character used in proper names and in rendering some foreign names cut down one or more in Buddhist nun's battery type oxygen sensor, fixed electric potential electroanalysis formula gas sensor, catalytic combustion type sensor and metal oxide semi-conductor formula sensor.
What the utility model provided has the following advantages for dusty gas monitoring and many rotor unmanned aircrafts of tracing to the source: a plurality of gas sensors are set on this unmanned vehicle, be particularly useful for the Polluted area of low visibility to monitor, can know the comprehensive pollution condition of Polluted area comprehensively, be conducive to the pollution condition of Polluted area to carry out Accurate Analysis.
Accompanying drawing explanation
Fig. 1 is illustrating disorderly for dusty gas monitoring and the arrangement structure of many rotor unmanned aircrafts of tracing to the source that the utility model provides
Wherein, 1---rotor assemblies; 2---load storehouse;
The schematic diagram with many rotor unmanned aircrafts of tracing to the source for dusty gas monitoring that Fig. 2 provides for the utility model.
The specific embodiment
Below in conjunction with accompanying drawing, the utility model is elaborated:
In conjunction with Fig. 1 and Fig. 2, it is a kind of for dusty gas monitoring and many rotor unmanned aircrafts of tracing to the source that the utility model provides, and comprising: unmanned aerial vehicle body and a plurality of rotor assemblies that drive unmanned aerial vehicle body; All directions at unmanned aerial vehicle body are arranged respectively gas sensor; In the load storehouse of unmanned aerial vehicle body central authorities, GPS locating module, power supply, treater and flight controller are set; GPS locating module, power supply and each gas sensor are connected with treater respectively; Treater is connected with flight controller.Image collecting device is also set in load storehouse; The mouth of image collecting device is connected with treater.Data link is also set in load storehouse; Data link is connected with treater.According to reality detecting needs, can select various types of gas sensors, for measuring the dusty gas concentration of Polluted area top, for example, can select PID optic ionized sensor, infrared type sensor, character used in proper names and in rendering some foreign names to cut down one or more in Buddhist nun's battery type oxygen sensor, fixed electric potential electroanalysis formula gas sensor, catalytic combustion type sensor and metal oxide semi-conductor formula sensor.
As a kind of example, as shown in Figure 1, for having four rotor unmanned aircrafts of 4 rotor assemblies, unmanned aerial vehicle body is installed 4 gas sensors altogether, that is: the 1st gas sensor, the 2nd gas sensor, the 3rd gas sensor and the 4th gas sensor; Wherein, the 1st gas sensor is arranged on the place ahead in unmanned aerial vehicle body left side; The 2nd gas sensor is arranged on the rear in unmanned aerial vehicle body left side; The 3rd gas sensor is arranged on the place ahead on unmanned aerial vehicle body right side; The 4th gas sensor is arranged on the rear on unmanned aerial vehicle body right side.
In the utility model, a plurality of gas sensors can be measured the contaminant gases concentration of unmanned vehicle different azimuth simultaneously, and, also by image collecting device, gather video or the graphicinformation of Polluted area.Therefore, can know the comprehensive pollution condition of Polluted area comprehensively, be conducive to the pollution condition of Polluted area to carry out Accurate Analysis.
In addition; as another kind application, by GPS locating module, record the heading of unmanned vehicle, then by the data analysis comparison that each gas sensor is gathered; can know the direction that pollutant levels are high, thereby vectored flight device flies to contaminant gases emission source; Flight controller is controlled the flare maneuver of unmanned vehicle, by data link, unmanned vehicle is communicated by letter with terrestrial operation station.
Visible, what by the utility model, provide monitors and many rotor unmanned aircrafts of tracing to the source in dusty gas, overcome the Polluted area that scene is comparatively severe, visbility is not high, the unmanned plane that only carries the equipment of taking photo by plane cannot carry out the effectively problem of monitoring to the scene of the accident, can to the scene of polluting, monitor comprehensively and effectively.
The above is only preferred implementation of the present utility model; it should be pointed out that for those skilled in the art, do not departing under the prerequisite of the utility model principle; can also make some improvements and modifications, these improvements and modifications also should be looked protection domain of the present utility model.
Claims (5)
1. for dusty gas monitoring and many rotor unmanned aircrafts of tracing to the source, comprising: unmanned aerial vehicle body and a plurality of rotor assemblies that drive described unmanned aerial vehicle body; It is characterized in that, in all directions of described unmanned aerial vehicle body, arrange respectively gas sensor; In the load storehouse of described unmanned aerial vehicle body central authorities, GPS locating module, power supply, treater and flight controller are set; Described GPS locating module, described power supply and gas sensor described in each are connected with described treater respectively; Described treater is connected with described flight controller.
2. many rotor unmanned aircrafts of monitoring and tracing to the source for dusty gas according to claim 1, is characterized in that, in described load storehouse, image collecting device are also set; The mouth of described image collecting device is connected with described treater.
3. many rotor unmanned aircrafts of monitoring and tracing to the source for dusty gas according to claim 1, is characterized in that, in described load storehouse, data link are also set; Described data link is connected with described treater.
4. according to claim 1 for dusty gas monitoring and many rotor unmanned aircrafts of tracing to the source; it is characterized in that; described unmanned aerial vehicle body is installed 4 gas sensors altogether, that is: the 1st gas sensor, the 2nd gas sensor, the 3rd gas sensor and the 4th gas sensor; Wherein, described the 1st gas sensor is arranged on the place ahead in described unmanned aerial vehicle body left side; Described the 2nd gas sensor is arranged on the rear in described unmanned aerial vehicle body left side; Described the 3rd gas sensor is arranged on the place ahead on described unmanned aerial vehicle body right side; Described the 4th gas sensor is arranged on the rear on described unmanned aerial vehicle body right side.
5. according to monitoring and many rotor unmanned aircrafts of tracing to the source for dusty gas described in claim 1-4 any one, it is characterized in that, described gas sensor is that PID optic ionized sensor, infrared type sensor, character used in proper names and in rendering some foreign names cut down one or more in Buddhist nun's battery type oxygen sensor, fixed electric potential electroanalysis formula gas sensor, catalytic combustion type sensor and metal oxide semi-conductor formula sensor.
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| CN201320553876.XU CN203439256U (en) | 2013-09-06 | 2013-09-06 | Multi-rotor-wing unmanned aerial vehicle for monitoring and tracing pollution gas |
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| CN201320553876.XU CN203439256U (en) | 2013-09-06 | 2013-09-06 | Multi-rotor-wing unmanned aerial vehicle for monitoring and tracing pollution gas |
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Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104121986A (en) * | 2014-08-01 | 2014-10-29 | 江苏恒创软件有限公司 | Urban light-pollution monitoring device and method based on unmanned aerial vehicle |
| CN105366044A (en) * | 2015-12-15 | 2016-03-02 | 谷家菊 | Fog dispersal type unmanned aerial vehicle |
| WO2016029305A1 (en) * | 2014-08-25 | 2016-03-03 | Isis Geomatics Inc. | Apparatus and method for detecting a gas using an unmanned aerial vehicle |
| CN105606719A (en) * | 2015-11-19 | 2016-05-25 | 济南市环境监测中心站 | Air pollution mobile detection car |
| CN105741466A (en) * | 2015-11-03 | 2016-07-06 | 天津艾思科尔科技有限公司 | Aircraft for environmental protection monitoring |
| CN106090622A (en) * | 2016-06-27 | 2016-11-09 | 西安交通大学 | A kind of airflight Artificial Olfactory gas premature leak monitoring and positioning system and method |
| CN106444827A (en) * | 2016-09-13 | 2017-02-22 | 武汉科技大学 | Rotor type air-ground integrated amphibious active olfaction robot and odor detection method thereof |
| CN106525521A (en) * | 2016-12-09 | 2017-03-22 | 南京信息工程大学 | Gas acquisition and detection device and use method thereof |
| WO2017084198A1 (en) * | 2015-11-21 | 2017-05-26 | 深圳市易特科信息技术有限公司 | Unmanned aerial vehicle for detecting environmental toxic gas |
| CN107132315A (en) * | 2017-05-12 | 2017-09-05 | 盐城工学院 | Signal recognition method, device and volatile organic matter detection device |
| CN107132313A (en) * | 2017-05-08 | 2017-09-05 | 南京信息工程大学 | The method and pollution sources Check System of a kind of unmanned plane investigation pollution sources |
| CN107192645A (en) * | 2016-03-14 | 2017-09-22 | 曹芃 | A kind of multi-rotor unmanned aerial vehicle air pollution detecting system and method |
| CN107727796A (en) * | 2017-09-21 | 2018-02-23 | 中国计量大学 | A kind of stench based on six rotor wing unmanned aerial vehicles is traced to the source device |
| CN107976220A (en) * | 2017-12-24 | 2018-05-01 | 安徽省环境科学研究院 | Based on Atmospheric components synchronization detecting system and method under fixed point different height |
| WO2018184162A1 (en) * | 2017-04-06 | 2018-10-11 | 邹霞 | System and method of using drone to detect toxic and harmful gases |
| CN108896714A (en) * | 2018-06-13 | 2018-11-27 | 中国科学院城市环境研究所 | A kind of source of atmospheric pollution method for tracing and UAV system based on unmanned plane |
| CN109753001A (en) * | 2019-01-21 | 2019-05-14 | 江铃汽车股份有限公司 | A kind of auto assembly intelligent monitor system |
| CN109902374A (en) * | 2019-02-22 | 2019-06-18 | 同济大学 | A kind of burst pollution source tracing method based on flight sensor patrol track optimizing |
| CN111413259A (en) * | 2020-04-14 | 2020-07-14 | 河南省商丘生态环境监测中心 | Real-time monitoring and tracing method for air exhaust gas |
| CN116360487A (en) * | 2023-03-14 | 2023-06-30 | 珠海鼎正国信科技有限公司 | Real-time dynamic planning method for route of walking based on gas monitoring data |
| US11761938B2 (en) | 2019-06-21 | 2023-09-19 | General Electric Company | Sensing system and method |
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2013
- 2013-09-06 CN CN201320553876.XU patent/CN203439256U/en not_active Expired - Fee Related
Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104121986A (en) * | 2014-08-01 | 2014-10-29 | 江苏恒创软件有限公司 | Urban light-pollution monitoring device and method based on unmanned aerial vehicle |
| WO2016029305A1 (en) * | 2014-08-25 | 2016-03-03 | Isis Geomatics Inc. | Apparatus and method for detecting a gas using an unmanned aerial vehicle |
| US10094773B2 (en) | 2014-08-25 | 2018-10-09 | Isis Geomatics Inc. | Apparatus and method for detecting a gas using an unmanned aerial vehicle |
| CN105741466A (en) * | 2015-11-03 | 2016-07-06 | 天津艾思科尔科技有限公司 | Aircraft for environmental protection monitoring |
| CN105741466B (en) * | 2015-11-03 | 2018-05-04 | 天津艾思科尔科技有限公司 | Aircraft for environment monitoring |
| CN105606719A (en) * | 2015-11-19 | 2016-05-25 | 济南市环境监测中心站 | Air pollution mobile detection car |
| WO2017084198A1 (en) * | 2015-11-21 | 2017-05-26 | 深圳市易特科信息技术有限公司 | Unmanned aerial vehicle for detecting environmental toxic gas |
| CN105366044A (en) * | 2015-12-15 | 2016-03-02 | 谷家菊 | Fog dispersal type unmanned aerial vehicle |
| CN107192645A (en) * | 2016-03-14 | 2017-09-22 | 曹芃 | A kind of multi-rotor unmanned aerial vehicle air pollution detecting system and method |
| CN106090622A (en) * | 2016-06-27 | 2016-11-09 | 西安交通大学 | A kind of airflight Artificial Olfactory gas premature leak monitoring and positioning system and method |
| CN106090622B (en) * | 2016-06-27 | 2018-04-17 | 西安交通大学 | A kind of airflight Artificial Olfactory gas premature leak monitoring and positioning system and method |
| CN106444827A (en) * | 2016-09-13 | 2017-02-22 | 武汉科技大学 | Rotor type air-ground integrated amphibious active olfaction robot and odor detection method thereof |
| CN106444827B (en) * | 2016-09-13 | 2019-11-26 | 武汉科技大学 | The air-ground integrated amphibious active olfaction robot of rotary wind type and its odor detection method |
| CN106525521A (en) * | 2016-12-09 | 2017-03-22 | 南京信息工程大学 | Gas acquisition and detection device and use method thereof |
| WO2018184162A1 (en) * | 2017-04-06 | 2018-10-11 | 邹霞 | System and method of using drone to detect toxic and harmful gases |
| CN107132313A (en) * | 2017-05-08 | 2017-09-05 | 南京信息工程大学 | The method and pollution sources Check System of a kind of unmanned plane investigation pollution sources |
| CN107132313B (en) * | 2017-05-08 | 2020-10-27 | 南京信息工程大学 | Method for unmanned aerial vehicle to investigate pollution source and pollution source investigation system |
| CN107132315A (en) * | 2017-05-12 | 2017-09-05 | 盐城工学院 | Signal recognition method, device and volatile organic matter detection device |
| CN107727796A (en) * | 2017-09-21 | 2018-02-23 | 中国计量大学 | A kind of stench based on six rotor wing unmanned aerial vehicles is traced to the source device |
| CN107976220A (en) * | 2017-12-24 | 2018-05-01 | 安徽省环境科学研究院 | Based on Atmospheric components synchronization detecting system and method under fixed point different height |
| CN108896714B (en) * | 2018-06-13 | 2020-09-08 | 中国科学院城市环境研究所 | Atmospheric pollution source tracking method based on unmanned aerial vehicle and unmanned aerial vehicle system |
| CN108896714A (en) * | 2018-06-13 | 2018-11-27 | 中国科学院城市环境研究所 | A kind of source of atmospheric pollution method for tracing and UAV system based on unmanned plane |
| CN109753001A (en) * | 2019-01-21 | 2019-05-14 | 江铃汽车股份有限公司 | A kind of auto assembly intelligent monitor system |
| CN109902374B (en) * | 2019-02-22 | 2021-03-09 | 同济大学 | Sudden pollution tracing method based on flight sensor patrol track optimization |
| CN109902374A (en) * | 2019-02-22 | 2019-06-18 | 同济大学 | A kind of burst pollution source tracing method based on flight sensor patrol track optimizing |
| US11761938B2 (en) | 2019-06-21 | 2023-09-19 | General Electric Company | Sensing system and method |
| CN111413259A (en) * | 2020-04-14 | 2020-07-14 | 河南省商丘生态环境监测中心 | Real-time monitoring and tracing method for air exhaust gas |
| CN111413259B (en) * | 2020-04-14 | 2020-11-10 | 河南省商丘生态环境监测中心 | Real-time monitoring and tracing method for air exhaust gas |
| CN116360487A (en) * | 2023-03-14 | 2023-06-30 | 珠海鼎正国信科技有限公司 | Real-time dynamic planning method for route of walking based on gas monitoring data |
| CN116360487B (en) * | 2023-03-14 | 2024-05-28 | 珠海鼎正国信科技有限公司 | Real-time dynamic planning method for route of walking based on gas monitoring data |
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Legal Events
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140219 Termination date: 20140906 |
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| EXPY | Termination of patent right or utility model |