Unmanned Aerial Vehicle (uav) Navigation Database of Latitude and Longitude Data Query Model Research

MAO Ying-dan

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Unmanned Aerial Vehicle (uav) Navigation Database of Latitude and Longitude Data Query Model Research

更新时间：2026-09-04

- Unmanned Aerial Vehicle (uav) Navigation Database of Latitude and Longitude Data Query Model Research
- Vol. 31, Issue 5, Pages: 144-146(2014)
- 作者机构：
  
  浙江水利水电学院机构市政工程系,浙江,杭州,310008
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
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毛迎丹. 无人机航行数据库中经纬度数据查询模型研究[J]. 微电子学与计算机, 2014, 31(5): 144-146,150.

MAO Ying-dan. Unmanned Aerial Vehicle (uav) Navigation Database of Latitude and Longitude Data Query Model Research[J]. 2014, 31(5): 144-146.
毛迎丹. 无人机航行数据库中经纬度数据查询模型研究[J]. 微电子学与计算机, 2014, 31(5): 144-146,150. DOI：

MAO Ying-dan. Unmanned Aerial Vehicle (uav) Navigation Database of Latitude and Longitude Data Query Model Research[J]. 2014, 31(5): 144-146. DOI：

摘要

无人机航行数据库中经纬度数据的高效查询，对无人机的飞行性能至关重要.提出基于人工免疫算法优化的无人机航行数据库经纬度数据优化查询模型.模型设置飞行数据的初始簇中心，对海量经纬度数据属性特征进行选取，计算不同的经纬度数据属性特征的相似性，并对上述特征进行实时聚类分析，每查询一次，完成数据属性特征的筛选，使得经纬度数据的特征永远是最新的，实现经纬度数据的高效查询.实验结果表明，利用该方法进行无人机航行数据库的经纬度数据查询，能够降低查询误差，对无人机性能的进一步提高有着重要的指导意义.

Abstract

Unmanned aerial vehicle (uav) navigation efficient query

latitude and longitude data in the database of the unmanned aerial vehicle (uav) flight performance is very important.Based on artificial immune algorithm to optimize the uav navigation database query optimization of latitude and longitude data model.Model set the flight data of the initial cluster centers

the massive latitude and longitude data attribute selection

calculation of different latitude and longitude data attribute similarity

and real-time cluster analysis of the above characteristics

each query

complete data attribute screening

the features of the latitude and longitude data is always up-to-date

realize the query of the latitude and longitude data.Experimental results show that using this method for uav navigation database of latitude and longitude data query

can reduce the query error

to further improve the performance of the unmanned aerial vehicle (uav) has important guiding significance.

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