Research On Distributed Linkage Technology Of Internet Of Things Image Acquisition Equipment

The rapid development of the Internet of Things industry and technology has empowered various scenarios in society.Different types and a large number of Internet of Things devices can be seen everywhere in people’s lives.Among them,image acquisition devices play an important role in various application scenarios.However,most image acquisition devices work independently in the Internet of Things environment,especially in some Internet of Things scenarios where monitoring,target recognition and tracking are important components,these image acquisition devices that lack linkage can Help is very limited.At the same time,with the rapid growth of the scale of the Internet of Things,there will be massive image data flooding into the Internet of Things environment.In the traditional image processing architecture centered on the cloud,these data need to be transmitted to the cloud for processing,but this will affect the bandwidth of the cloud.Higher requirements such as,load,etc.will bring huge pressure to the cloud,resulting in low image processing efficiency,which in turn will have a huge impact on the linkage of image acquisition devices.This essay launched a research to solve the above problems,the main research contents are as follows:1.Aiming at the problem of insufficient linkage of image acquisition equipment in the Internet of Things environment.This essay proposes a image acquisition equipment real-time linkage engine,which can match and process predefined events and rules in real time according to the behavior of the image acquisition device,and issue instructions to the image acquisition device.Finally,the function of the engine is verified through experiments,and the performance of the engine is evaluated at the same time.2.Aiming at the problem that the influx of massive image data in the large-scale Internet of Things will lead to excessive pressure on the cloud,which will affect the linkage efficiency of image acquisition equipment,this essay proposes a distributed data processing architecture based on edge computing.Deploying some image processing tasks and rule preprocessing tasks on the side can effectively reduce the pressure on cloud computing,bandwidth,stability and other aspects.Finally,the performance of the distributed data processing architecture is verified through experiments.3.Combining the above two research contents,this essay designs and implements an Internet of Things image acquisition device linkage response platform in the form of microservices,which integrates the prototype function modules of the above two research contents.The platform can realize device access and visualize event rules.Functions such as definition and processing,visual data flow arrangement,and equipment linkage response to alarms,etc.,and the interface effects of each function of the platform are displayed.