Edge Computing-based Intelligent Agricultural Machinery Multi-machine Collaboration System And The Key Technologies Research And Implementation

In order to ensure the sustainable growth of agricultural productivity,China is transitioning from traditional agriculture to smart agriculture.Smart agriculture machinery,as an important component of smart agriculture,can provide more precise,efficient,and intelligent operating methods,and has attracted increasing attention.In recent years,with the development of intensive agriculture,agricultural operations have gradually become large-scale and complex.The multi-machine collaborative system of smart agricultural machinery,which uses multiple types of smart agricultural machinery to collaborate in dealing with the wide range and complex tasks of agricultural operations,has become a hot research topic in smart agricultural machinery.To address the commonly encountered problems of high communication latency and insufficient network bandwidth in existing multi-machine collaborative systems,this thesis designs and implements a multi-machine collaborative system of smart agricultural machinery based on edge computing.This system utilizes the low communication latency and high communication bandwidth of edge computing nodes,which serve as the infrastructure of the multi-machine collaborative system of smart agricultural machinery,to provide better Qo S services and communication computing power support for multi-machine collaboration.This effectively ensures the efficient collaborative operation of smart agricultural machinery.The main work of this thesis is as follows:(1)A suitable ICN(Information-Centric Networking)network architecture for multimachine collaboration of smart agricultural machinery is proposed.This architecture adopts the information-centric network architecture and uses edge computing node resources to construct ICN routing nodes.Through the routing mode based on the publish-subscribe pattern,the redundant messages in the network during multi-machine collaboration are proactively filtered,effectively reducing network load and solving the problem of transmission and sharing of dataintensive content in the multi-machine collaborative system of smart agricultural machinery.Simulation experiments and experimental results show that the proposed network architecture can effectively reduce redundant data in the network,improve network efficiency and network service quality,and meet the requirements of multi-machine collaboration of smart agricultural machinery.(2)A multi-machine collaborative edge computing migration strategy is proposed for the problem of smart agricultural machinery movement between different edge computing nodes in a multi-machine collaborative operation environment.This strategy achieves efficient collaboration among multiple agricultural machines by effectively migrating relevant services and data of smart agricultural machinery on different edge computing nodes.When migrating services,closely related collaborative services are grouped into a migration unit to reduce service downtime and improve service continuity.When migrating data,data block priority is defined,and relevant data blocks are pushed in order of priority to ensure normal service operation and reduce communication overhead during migration.Simulation experiments and experimental results show that the proposed migration strategy can effectively improve the efficiency of service and data migration and reduce bandwidth consumption during migration,meeting the needs of multi-machine collaborative operation of smart agricultural machinery.(3)A multi-machine collaborative system of smart agricultural machinery based on edge computing is designed and implemented.The system is mainly composed of smart agricultural machinery and edge computing nodes.The main functions of smart agricultural machinery include data collection,transmission,and command control,that is,agricultural equipment can not only collect data through installed sensors and transmit it to edge computing nodes for calculation and storage but also receive commands from edge computing nodes and perform corresponding control operations to achieve multi-machine collaboration among multiple smart agricultural machinery.Edge computing nodes provide computing and storage resources and services for smart agricultural machinery,and provide better support for multi-machine collaboration of smart agricultural machinery through the edge computing migration strategy and ICN network architecture proposed in this thesis.