Research on multi-source heterogeneous data integration and intelligent operation method for multi-variety and small-batch discrete manufacturing process
In the multi-variety small-batch discrete manufacturing process,there are multi-source heterogeneous process informa-tion such as process drawings,workshop panel records,machine tool sensor signals,quality inspection reports,etc.How to effi-ciently obtain these data from different sources and diverse structures,effectively realize data visualization,and tap the potential value of data is a common problem faced by this kind of enterprises.In the process of traditional paper-based process information management,there are some disadvantages,such as low informatization degree,poor sharing,not real-time acquisition and weak security.In order to solve this problem,it takes gear,a typical multi-variety and small-batch discrete processing product,as the object,proposes a multi-heterogeneous data integration method that can comprehensively use image recognition,text extraction,two-dimensional code technology,TCP/IP communication and other technologies,and designs and develops an intelligent opera-tion and maintenance system that can support the integration of multi-source heterogeneous data such as text,image and sensor data.It realizes real-time integration of multi-source heterogeneous data acquisition,lightweight and efficient management,value mining and visual application of key gear processes.
multi-source heterogeneous informationdiscrete manufacturingprocess informationintegrated systemmulti-variety small batch
万方数据
维普
