Energy Efficient Uav Flight Planning System For The Industrial IoT Environment

In the industrial Internet of Things(IIoT)environment,as an important component of the data acquisition layer,wireless sensors are widely used to monitor the environment or the safety of industrial equipment due to their low price and good performance.However,in the process of sensing information back to the monitoring center,the loss of information may cause the monitor to miss the opportunity to detect the hidden dangers and then lead to catastrophic damage in industrial production.Therefore,the highly reliable methods to collect sensory information is very important for industrial Io T applications.For the special conditions such as high temperature,high pressure existing in the industrial environment,the traditional static data collection method and human collection method are not suitable.As a result,air data acquisition based on controllable UAVs has led to the increasing attention of researchers.However,due to current battery limitations,the UAV energy consumption issue has always been a challenge.In the case of known sensor distribution,the flight planning for the UAV to complete the data collection mission within the minimum flight energy consumption has become the focus of this paper.To achieve the above objectives,considering the inaccuracy of models caused by the insufficiency of the factors affecting the energy consumption of the applications by UAV in the existing research,this paper conducts theoretical research from the establishment of the experiment-based energy consumption models of UAV and energy efficient UAV flight planning,then develops the energy efficient UAV flight planning system for the industrial Io T environment.Specifically,this paper conducts research work from the three following aspects:Considering the problem of inaccurate modeling of UAV energy consumption in the1.Considering the problem of inaccurate modeling of UAV energy consumption in the existing research,this paper proposes an experiment-based UAV energy consumption modeling method.This paper theoretically analyzed the parameters required for modeling the energy consumption of the UAV,then conducted the experiments to obtain the required parameters through data analysis,and established the energy consumption models under different flight conditions such as flying straight,hovering,accelerating and turning.2.Considering the insufficiency of the factors affecting the energy consumption and the neglect of the characteristics of wireless device data transmission in the UAV application in the existing research,the flight planning algorithm for UAV is designed.According to the distribution of the sensor and the established energy consumption model,and taking flight speed and turning angle as two important factors affecting the path cost,the flight path and flight speed are determined for the UAV,so that the UAV can complete the data collection mission within the minimum flight energy consumption.3.Based on the above two researches,the UAV flight planning system is developed for the application of collecting data of industrial Io T wireless sensors.The system enables the UAV to complete data collection with minimal energy consumption.The experimental results show that the turning angle and flight speed of the drone have a great impact on energy consumption,and the proposed flight planning algorithm can optimize the overall energy consumption of the drone while considering these two factors.The research work done in this thesis can provide a reliable and energy-efficient sensor information collection method for industrial Io T environment,which can reduce resource consumption and improve the monitoring efficiency in the industrial production processes.