低成本UAV架构与测量数据采集方式的研究

Research on Low-cost UAV Architecture and Measurement Data Acquisition Methods

当前无人机技术越来越受到各行各业的青睐和认可,它具有轻便、快捷、能进行数据实时传输等特点使其广泛应用于搜索、救援、地信系统和移动传感器网络等多种领域。然而商用UAV价格昂贵,大大提高了应用门槛。文中探讨了采用非商用UVA搭配常规图像传感器,利用开源软件设计无人机控制系统和图像识别系统,建立低成本UAV的架构和无人机数据采集系统的方法。系统能使无人机对目标进行自动航线规划连续测量,从而实现生成实时位置信息。测试模拟结果表明,采用价格低廉的非商用UAV框架、开源免费控制系统、通用传感器、开源数据传输协议和图像分析识别系统构成的低成本UAV架构与测量数据采集方式,能够有效接受传感器数据,可以达到较为准确反映地物状态及趋势的目标。

The current UAV technology is increasingly favored and recognized in various fields. It is light, fast and real-time and is widely used in many areas such as search, rescue, geospatial systems and mobile sensor networks. However, it is difficult to get access to the commercial UAV because of the expensive price. In this paper, a low-cost UAV architecture is established by combining non-commercial UAV and conventional image sensor;and a drone data acquisition system is designed by applying open source software to design drone control system and image recognition system. The system can enable the drone continuously measure the automatic route planning of the target to generate real-time location information. The simulation test results indicate that the low-cost UAV architecture and data acquisition system consisting of low price non-commercial UAV, free open source software, general purpose sensor, open source data transfer protocol and image recognition system can process the sensor data effectively and reflect the ground state and trend accurately.