| 应急测绘无人机资源多目标优化调度方法 |
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| 引用本文： | 朱庆,韩会鹏,于杰,杜志强,张骏骁,吴晨,沈富强.应急测绘无人机资源多目标优化调度方法[J].武汉大学学报(信息科学版),2017,42(11):1608-1615. |
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| 作者姓名： | 朱庆 韩会鹏 于杰 杜志强 张骏骁 吴晨 沈富强 |
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| 作者单位： | 1.武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉, 430079 |
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| 基金项目： | 国家自然科学基金41471320国家自然科学基金41571390国家自然科学基金41501463四川省测绘地理信息局局科技支撑项目J2014ZC11 |
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| 摘 要： | 应急测绘中的无人机调度存在时空环境约束复杂、调度方案多样的特点，现有调度主要以人为经验判断为主，方案粗放不可靠，难以综合考虑应急过程中复杂多变的因素，结果的精准性与可靠性较低。为实现灾后应急测绘的快速响应，提出了一种无人机资源的快速调度方法，综合考虑应急测绘任务需求、优先级、时间窗、作业区域地理环境和无人机测绘资源能力等约束条件，构建了以任务成果收益效率最大化、任务完成率最大化以及调度风险最小化等为多优化目标的应急测绘无人机资源调度模型，并运用蚁群算法实现对模型的求解。实验结果验证了调度方法的有效性。
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| 关 键 词： | 应急测绘 无人机调度 任务分配 蚁群算法 |
| 收稿时间： | 2017-02-13 |
Multi-objective Optimization Scheduling Method for UAV Resources in Emergency Surveying and Mapping |
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| Affiliation: | 1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China2.Faculty of Geosciences and Enviromental Engineering, Southwest Jiaotong University, Chengdu 611756, China3.Office of Scientific Research and Development, Wuhan University, Wuhan 430072, China4.Technology Service Center of Surveying and Mapping, Sichuan Bureau of Surveying, Mapping Geoinformation, Chengdu 610041, China |
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| Abstract: | Unmanned aerial vehicle (UAV) scheduling in emergency surveying and mapping (ESM) has complicated space and time constraints, with diverse scheduling schemes. The existing scheduling methods are generally based on human experience, and not reliable. In order to realize the rapid response of post disaster ESM, a fast scheduling method for UAV resources is proposed. The method comprehensively considers the constraints of the mission requirements, priorities, time windows, the geographical environment of the working area, and the ability of the UAV. A UAV scheduling model for ESM, is proposed that makes mission profit efficiency, mission completion rate, and scheduling risk as optimization objectives. This solution is based on ant colony algorithm. Experimental results verify the effectiveness of the scheduling method. |
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