A Monitoring System Of Ground-Air Interaction Multi-Sensory Fusion Plant Growth Condition

Aiming at the problems of the late start of intelligent monitoring of plant growth,most of agriculture and forestry are located in remote areas far from urban areas,relatively complex terrain,backward regional infrastructure,poor network conditions and difficult monitoring of plant growth,etc.In this dissertation,a low-cost wireless sensor network(WSN)and its ad hoc network characteristics are used to monitor the growth of large-area plants in remote areas.The WSN usually uses mobile sink nodes to receive collected data,and the communication multi-hop transmission is easy to form an "energy hole" problem.The ground-air interaction multi-inductive fusion plant growth monitoring system designed in this dissertation has carried out a comprehensive design and analysis of the plant growth monitoring system in various aspects of the sensing layer,the network layer and the application layer.The air mobile convergence node is used together with the ground fixed sensing node to complete the monitoring of plant growth status.A sink node is embedded in the unmanned aerial vehicle(UAV)to form a MSN,which eliminates the limitation of large ground obstacle density on the movement track of ground mobile equipment.The ground fixed sensor node is clustered.When the MSN receives data,it only needs to interact with the communication nodes in the clusters on the ground to complete the data receiving task.The design scheme not only improves the efficiency and reliability of data transmission,but also the single-hop transmission of data,which also solves the problem of uneven energy consumption of each node.Reasonable planning of the moving trajectory of MSN in the air is the guarantee for the normal completion of the mission of MSN.The method of searching turning point for median line of transverse coordinate of mobile sink node is designed,and the trajectory of UAV is planned.This method is simple and suitable for path planning of MSN in small monitoring area.Through path optimization design,the median line method of relative abscissa of mobile sink node is designed to find the turning point.This method improves the flexibility of trajectory direction selection,meets the functional requirements of ground-to-air node single-hop communication,thus prolongs the network life cycle,and is suitable for the path planning of MSN in a large monitoring area.The application of the system shows that the system provides a good solution for monitoring plant growths in a wide range of agricultural and forestry resources.Figure[30]table[3]reference[56]...