Research Of Cloud Service Composition Algorithms For Typical Industrial Equipment Monitoring And Its Application

Industrial cloud has touched all aspects of the industry.More and more resources(such as material resources,equipment resources,human resources and manufacturing power)have been transformed into Web services,providing users with a more convenient and efficient way to use them.Intelligent fault monitoring of industrial equipment can also rely on industrial cloud services.Enterprises deploy sensors on the devices to be monitored,sensors upload real-time monitoring data to the industrial cloud platform through the network,and then call cloud services to achieve the required functions.This paper focuses on the industrial cloud service composition,and studies the optimization of cloud service composition from two aspects: cloud service composition and dynamic change of cloud workflow.Using Quality of Service(QoS)as the evaluation index of cloud service composition,we can select the best combination among a large number of industrial cloud services with similar functional attributes rather than different functional attributes,so as to provide more effective cloud services for industrial cloud.Under the ever-changing market demand,the business processes of cloud workflow change frequently,which makes the dynamic changes of cloud workflow in operation more adaptable to the flexibility of business environment changes.The main contents of this paper are as follows:(1)The research background of this paper is expounded,and the specific significance of cloud service composition in industrial cloud environment is introduced.The research results of cloud service composition and workflow dynamic change are analyzed.(2)In view of the possible quality constraints among multiple services in service composition,an industrial cloud service composition model based on quality constraints is proposed,and the quality constraints rules are established.By improving cuckoo search algorithm,the industrial cloud service composition is optimized,and a comparative analysis experiment is carried out.(3)The dynamic change model of three-dimensional cloud workflow is proposed,and the dynamic change strategy of cloud workflow and the dynamic change algorithm of cloud workflow are proposed.By comparing the existing change algorithm,the response time of dynamic changes in different tasks is compared.(4)The model and algorithm in this paper are applied to a receiving station safety and health monitoring cloud service platform.