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季刊,2016年6月创刊
主管:教育部
主办:中国石油大学(北京)
   清华大学出版社有限公司
出版:清华大学出版社有限公司
编辑:《石油科学通报》编辑部
主编:陈勉
地址:北京市海淀区学院路20号院
   902信箱中国石油大学期刊社
邮编:100083
电话:010-82377349
         010-89734040
E-mail:bops@vip.163.com
     本刊导读
As natural gas accounts for an increasing proportion of energy resources, there are more and more natural gas  
supporting facilities, so the demand for emergency equipment is also increasing. When a natural gas leakage accident occurs,  
the traditional detection methods not only have potential safety hazards, but the detection results are also used for post-mortem  
analysis, and there is no real-time feedback of on-site results. In response to the above important problems, drones were used to  
compensate for the poor safety and timeliness of traditional detection methods in this paper. Based on the Gaussian plume gas  
diffusion model, the real-time leakage site can be calculated by concentration distribution, and the autonomous flight algorithm  
was used to control the drone to fly along the on-site dangerous concentration surface to complete concentration surveying and  
mapping or other on-site surveying and mapping tasks. The research also analyzed the influence of each influencing factor on  
the gas concentration distribution in the model and compared the results. In addition, random errors were introduced to simulate  
the gas diffusion distribution under real conditions. In this research, the autonomous flight algorithm of UAVs puts forward a  
concept of "calculating while flying", which uses real-time calculation of the gas diffusion model to guide the flight of the UAVs.  
The gas distribution will be updated and the flight route will be optimized while the UAV is still in flight. The gas diffusion  
model part uses the concentration points measured in real time by drones to correct the error of initial results calculated by the  
Gaussian gas diffusion model. Finally, the UAV autonomous flight control proposed in this paper was verified in an experimental  
case. The UAV autonomous flight algorithm based on the gas diffusion model can realize the task of flying along the dangerous  
concentration surface, and complete the specified dangerous concentration surface surveying and mapping task, which is very  
significant for on-site accident guidance.


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