Abstract
Route Planning and Monitoring Design of Unmanned Aerial Vehicles Based on Global Particle Algorithm
Highlights
Unmanned aerial vehicles (UAVs) are aircraft that do not require a pilot to operate from the cockpit
Aiming at the problem of unstable data transmission of agricultural UAVs, Li et al designed a remote monitoring system for an agricultural UAV based on distributed energy resources (DER) communication technology. This system is mainly divided into three modules, namely, the UAV, a DER grid-connected monitoring and communication system, and a ground remote monitoring system.(12) By designing the monitoring platform of a UAV, Cintuglu et al adopted the global particle algorithm to plan the UAV route, which enabled the real-time monitoring of the UAV flight status by a remote monitoring system.(13) The data transmission and route planning of the UAV monitoring system were tested, and the results showed that the monitoring system can effectively plan the flight path of UAVs
The system is mainly divided into four modules, i.e., an intelligent control module, a multimode communication and autonomous formation collaboration, a UAV cloud operating system, and panoramic image dynamic fusion technology
Summary
Unmanned aerial vehicles (UAVs) are aircraft that do not require a pilot to operate from the cockpit. Owing to the limitations of relevant technologies, research and development in the UAV remote technical support field is still insufficient. Professionalism, functionality, and real-time performance cannot meet the requirements of UAVs of high reliability and low delay. Savaglio et al have applied cloud computing to the Internet of Things (IoT), intelligent agriculture, and the remote support or monitoring of power systems through customized development, remote monitoring, data transmission, and the monitoring of corresponding things, fully utilizing the advantages of the cloud in communication, computing, and storage.(7) the existing research generally does not consider transfer problems such as real-time transfer, and the application of the cloud in the field of UAV remote technical support is still insufficient
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