金沙娱乐场官方网-澳门金沙会官网-金沙集团股价实情信息最新

首頁(yè)» 往期文章» 2019» Issue 2» 石油經(jīng)濟(jì)與管理

Petroleum Science >2019,??Issue 2:??458-468 DOI: https://doi.org/10.1007/s12182-019-0305-y

A two?stage optimization method for unmanned aerial vehicle inspection of an oil and gas pipeline network Open?Access

文章信息

pdf下載
作者：Yamin Yan, Yongtu Liang, Haoran Zhang, Wan Zhang, Huixia Feng, Bohong Wang and Qi Liao
作者單位：

Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102249, China,Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102249, China,Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102249, China,Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102249, China,Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102249, China,Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102249, China and Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102249, China

投稿時(shí)間：2018-05-07
引用方式：Yan, Y., Liang, Y., Zhang, H. et al. Pet. Sci. (2019) 16: 458. https://doi.org/10.1007/s12182-019-0305-y

文章摘要

To improve the reliability and safety of the oil and gas pipeline network, inspections are implemented to minimize the risk of leakage, spill and theft, as well as documenting actual incidents. In recent years, unmanned aerial vehicles have been recognized as a promising option for inspection due to their high efficiency. However, the integrated optimization of unmanned aerial vehicle inspection for oil and gas pipeline networks, including physical feasibility, the performance of mission, cooperation, real-time implementation and three-dimensional (3-D) space, is a strategic problem due to its large-scale, complexity as well as the need for efficiency. In this work, a novel mixed-integer nonlinear programming model is proposed that takes into account the constraints of the mission scenario and the safety performance of unmanned aerial vehicles. To minimize the total length of the inspection path, the model is solved by a two-stage solution method. Finally, a virtual pipeline network and a practical pipeline network are set as two examples to demonstrate the performance of the optimization schemes. Moreover, compared with the traditional genetic algorithm and simulated annealing algorithm, the self-adaptive genetic simulated annealing algorithm proposed in this paper provides strong stability.

關(guān)鍵詞

    Pipeline network, Unmanned aerial vehicle inspection, Mixed-integer nonlinear programming, Two-stagesolution