Rapid Detection Technology for Distribution of Air Pollutants Based on UAV
admin
2022-09-15
基于无人机载的大气污染物分布快速检测技术
Rapid Detection Technology for Distribution of Air Pollutants Based on UAV
技术编号
AH-027
提供单位
中国科学院合肥物质科学研究院
技术大类
污染控制技术
联系人
常振
技术类型
大气污染物控制技术
电话
18856012513
邮箱
zhchang@aiofm.ac.cn
适用范围
环境监测、污染物排放监测、大气污染物监测
推荐单位
安徽省科技厅
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Technical principle and process routeBased on imaging differential optical absorption spectroscopy (IDOAS) and UAV airborne platform technology, a high resolution imaging detection system is used to establish a fast detection system for two-dimensional distribution of pollutant gas in complex terrain. The distribution and variation of air pollution in complex terrain area can be obtained quickly, and the important pollution sources can be captured, which can make up for the deficiency of ground station monitoring on spatial scale. The equipment works in a push-broom manner to obtain high-resolution imaging spectral data of the target area, based on the UAV flight attitude, GPS data, the imaging data were corrected geometrically and the DEMS were corrected to retrieve the pollutant gas column density.
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技术提供方中国科学院合肥物质科学研究院
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技术主要指标信息光谱范围300~400nm;光谱分辨率0.5nm;体积244*165*189 mm;重量≤6Kg;功率≤60w
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商业应用情况0
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希望在技术转移过程中得到的帮助/支持
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商业应用单位联系人/电话/邮箱
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设备投资该技术主要设备为适用于无人机载平台的IDOAS设备,该设备主要包括CCD成像电路、光学系统。自研CCD成像电路须开发成本20万(包括CCD探测器),光学系统开发20万,其它附属设备等成本约5~10万,总投入约45~50万。设备使用寿命约5~10年。
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年运行维护费用设备运行须培训合格人员进行设备运行保障和维护,设备正常运行按每次监测工作计算,须燃油费5000元、人工费用1万元,材料费5000元,其他费用1万元,总计约3万元。
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投资回收期每台设备研发成本约50万元,考虑设备需要提供5年技术支持,每年人力成本约12万元。考虑每年可为用户节约300万监测成本,整体售价可定为150万元,则一年内可收回成本。 2018年生态环境部卫星环境应用中心采购本设备及相应技术支持,销售价格为120万元,即当年即可获取收益38万元。
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附加效益对于大气污染遥感监测,大型机载监测手段,成本昂贵,每次飞行须耗费大量人力成本,每次飞行所需成本约为100万元,以每年进行4次监测计算,每年需400万元。 基于无人机载平台,方便快捷,可实现高时间分辨率监测,对区域污染形成机制、污染源分布具有更大的科研价值和实际意义。以每月飞行一次计算,每次飞行成本约3万元,每年仅需36万元。
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综合效益通过设备长期运行结果和飞行数据,可证明基于无人机载的IDOAS技术,可大幅度减少大气污染区域分布检测的成本。以大型机载实验每年飞行4次计算,则每次监测的时间跨度为3个月。无人机载平台,飞行方便、快捷,在保证空域的前提下可实现每天飞行,保守估计每月飞行一次,则相对大型机载实验,其时间跨度缩短为1/3。更高的时间监测频率,对污染物排放区域分布的变化过程、区域聚集演变过程的研究更有意义。
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障碍对技术转移影响等级0
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提交日期2020/12/21
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技术成熟度该技术已经多次应用于科研项目中,获取了大量飞行数据。目前已经完成多地飞行试验,如武安、南京、乐山、常州等。已有多家单位(如生态环境部卫星环境应用中心等)订购相应设备。 目前该技术工艺路线完整,从设备研发、外场飞行、数据处理和设备维护都具有丰富的经验,技术比较成熟。
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Technical adaptability analysisThe technique is applicable to the field of atmospheric pollution gas monitoring and remote sensing, and is used to detect the distribution of regional pollution gas emission. The technology is based on unmanned aerial vehicle (UAV) platform, which needs to provide UAV airspace and flight environment, and the payload of UAV is more than 6kg, the light source shall be sunlight scattered/reflected by the earth gas from the Sun. The general flying area shall cover the industrial park, focusing on the monitoring of NO2 and SO2 emissions from factories, power plants, etc. with high pollution emissions.
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Technical stability analysisThe technique uses a data processing algorithm system to correct the uncertainties of the unmanned aerial vehicle (UAV) platform, such as the flight attitude instability and jitter influenced by the air flow. The embedded temperature control system can deal with the drastic change of the environment temperature and ensure the stability of the optical parameters.
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Technical safety analysisAs monitoring technology of air pollution distribution, there is no secondary pollution or toxic substance emissions during the operation of the equipment itself. The equipment is self-developed, including electronic system and optical system. With the unblocked import channel of the key component chips, the needs of equipment production can be met.
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技术转移推广障碍0
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知识产权转让中国科学院合肥物质科学研究院 1, ZL201922384313.2(一种无人机载污染气体分布检测装置) 2, 2020SR0202630(大气污染无人机载DOAS分析软件) 3, ZL201210113186.2(一种基于便携式测量高效紫外吸收光谱的光学系统) 4, ZL201610349684.5(一种成像光谱仪CCD光谱图像暗电流校正方法) 5, ZL201310485504.2(一种大视场大气痕量气体检测仪专用气体标定装置) 6, ZL201310485523.5(基于大视场成像光谱仪的点污染源排放通量测量方法) 7, ZL201210299291.X(超光谱成像光谱仪装调、测试用狭缝组件) 8, ZL201110269827.9(机载大气痕量气体二维分布快速监测系统)