| As the Internet of things platform is widely used in the military field,the correlation between the platform and the underlying equipment is also deepened.The communication between the equipment and the platform and the quality of the management of the equipment become the key part of the whole system.The traditional military Internet of things platform uses the direct connection mode to control the equipment.This method is simple and easy,but there are obvious shortcomings.Firstly,the performance of the platform and the equipment do not match.If the high-performance platform is taken as the benchmark,the equipment can not quickly respond to the high-frequency request of the platform.If the low-performance equipment is used as the benchmark,the interaction ability of the two is insufficient.At the same time,the equipment adopts the traditional upload Data redundancy will lead to serious data loss.In view of the above problems,this paper proposes a solution of military IOT equipment image based on digital twin technology:1)Propose equipment mirroring modeling based on structure and stateThe process takes a single device as the research object,and is divided into two branches:structure modeling and state modeling.The structure modeling adopts the construction method of combining sub and total,taking the component as the basic unit,clarifying the relationship between components upward and summarizing all components of components downward,forming a complete structural remodeling;state modeling uses the principle of finite state machine to model the state,and the network equipment Image modeling is based on a single machine and focuses on solving the communication problem of equipment.2)Innovatively propose a state synchronization scheme streamlined transmissionIn order to avoid the phenomenon of redundant data uploading from the underlying equipment,this paper uses the double exponential weighted smoothing model to simplify the transmission of the equipment,and determines the emergency events through the short-term link comparison mechanism,which can effectively identify the abnormal constant data,thus effectively avoiding the negative impact of abnormal data on the prediction model,and adopting the incentive mechanism The heartbeat verification mechanism of the device determines whether the device is still"alive".3)The whole life cycle management process of image is proposedIn order to manage the image more efficiently and avoid the system burden caused by too many image settings in the later stage,this paper establishes four management stages for the whole life cycle of the image,namely,the creation period,the operation period,the maintenance period and the destruction period.Each stage is responsible for different management contents.all States are changed by triggering events,so that the image is included in the unified management system.This thesis uses the classic SSM framework to design prototype tools to realize the modeling of a certain military equipment.The double exponential weighted prediction model is used for data streamlining transmission,which realizes the synchronization process of the state of a certain military equipment.At the same time,it is proved through experimental simulation that the box-plot anomaly detection mechanism can effectively avoid the negative impact of abnormal data.Device mirroring is effectively managed throughout the life cycle. |
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