| With the deep integration of new generation information technology and manufacturing industry,the amount of industrial data has exploded.The multi-angle modeling of production lines in discrete workshops and core equipment smart factories and the translation and fusion of multi-source heterogeneous data are still hot issues to be faced by the research nowadays.In response to the above problems,this thesis proposes a cloud-side collaboration model that combines smart devices,smart production lines and smart factories.An intelligent production line edge side data translation and fusion system has been developed based on technologies such as cloud edge collaboration,Unity3 D,and C# language.The system integrates humanmachine interaction modules such as data translation fusion components and multidimensional heterogeneous data import components.It effectively solves many problems of data translation and fusion in the development of discrete workshops,and is applied to the discrete intelligent production line platform such as the "Renaissance" brake system intelligent production line to improve the intelligence level.The specific research contents of the thesis are as follows:Firstly,based on the many kinds of data to be processed at the edge of the intelligent production line and the high transmission delay of the cloud platform,a discrete intelligent workshop architecture in the cloud-side collaboration mode is designed based on edge computing and cloud-side collaboration technology,which includes all the functional requirements from data translation and fusion at the edge of the intelligent production line to the cloud processing.Secondly,a multi-dimensional and multi-angle spatial model of the intelligent production line is constructed according to the actual processing site in the project background.On the basis of clarifying the 3D modeling content and processing process of all the equipment in the smart workshop production line,the Unity3 D platform is used to build the scene of the twindomain smart production line and to realize the dynamic behavior of manufacturing equipment processing.At the same time,the multi-dimensional and multi-angle modeling of the intelligent production line is completed in the device domain,data domain and knowledge domain.Finally,the development and implementation of the data translation and fusion system on the edge side of the intelligent production line is carried out,and the whole system contains multi-domain implementation such as virtual domain,data domain and knowledge domain.In the virtual domain: develop components such as real-time simulation processing,equipment information display,virtual machining rhythm,and overall control module;in the data domain,the D-S evidence theory fusion model is adopted to address issues such as complex data and numerous industrial protocols.The efficiency of the translated and fused data is improved,ensuring the improvement of the quality of the underlying data translation and fusion,forming effective rule combinations,and reducing conflicts between rules;in the knowledge domain :Develop dynamic knowledge base and knowledge active service.The complete simulation of the whole process of front brake disc processing elaborates the operation process of the system and realizes the functions of human-computer interaction and visualization mapping.Through system deployment and functional testing,it is proved that the system can meet the usage requirements of intelligent manufacturing enterprises and can be widely applied in the edgeside equipment data integration scenarios of various discrete intelligent production lines,which can greatly reduce the difficulty and cost of shop floor data collection and data translation and fusion,avoid exponential duplication of investment and waste,significantly reduce the operating cost of factories and improve operational efficiency. |