Design And Implementation Of A Low-code Development Platform For Industrial Predictive Maintenance

The national strategy of "China Intelligent Manufacturing 2025" has brought new opportunities and challenges to the digital transformation of traditional manufacturing.As one of the "killer" applications of the industrial Internet,predictive maintenance of industrial equipment has become an important application scenario for the digital upgrading of the manufacturing industry.Low-code platforms and technologies provide efficient and low-cost productivity tools for enterprises to achieve digital upgrades,and are increasingly used in the development of industrial applications(APP)in typical scenarios.However,the current low-code development platforms mainly support form-based service development,with single scenarios and limited scalability.First,for the complex problem of business logic in predictive maintenance scenarios,the abstraction of low-code platform component capabilities cannot support the flexible orchestration and configuration of complex interactive business logic.Second,in view of the characteristics of equipment maintenance business data in industrial scenarios,the lowcode platform lacks unique data services in the industrial field.Third,in response to the limited security and privacy requirements of industrial application deployment,lowcode platforms lack the environment for on-demand deployment of public and private clouds.In view of the above demand challenges,this thesis focuses on the design of low-code development platform architecture for industrial predictive maintenance,and implements and verifies the operation and maintenance scenarios of automotive equipment production lines.Firstly,in view of the requirements for flexible orchestration of complex business logic,this thesis proposes the Component Object Model(COM),which defines the property objects,event interfaces,routing interfaces,data interfaces and view interfaces in component objects to support the flexible orchestration configuration of complex business logic between components,so that component objects have highly flexible and extensible characteristics.This thesis designs an application parsing engine driven by COM model,which integrates front-end interactive event bus and routing mechanism to achieve flexible configuration and service flow construction of application in-page logic and inter-page logic.Second,aiming at the business characteristics of event data-driven and form datadriven in industrial predictive maintenance scenarios,this thesis designs and implements an event-driven time series data adaptation service and a structured form data storage service.Among them,the Time Series Data Adaptation Service extends the data interface of the COM model,realizes the protocol adaptation and real-time data push between COM model components and the time series data interface by providing WebSocket event subscription and publishing mechanism,and realizes flexible configuration of data sources through the Apollo Configuration Center.The form data storage data service realizes flexible and scalable form data storage management based on the key-value pair storage model,and provides a cloud open interface for low-code development of form end-to-end services.Third,in view of the problem that the low-code platform cannot provide application private deployment,this thesis designs and implements application packaging and privatization deployment management services.Provides application engineering code and corresponding service package source code download service.Application engineering construction is realized by pulling application component source code files through application configuration,and basic user services of industrial APP and corresponding data storage structure script files are provided.Finally,this thesis implements the "minimal system" for industrial predictive maintenance low-code development platform,and carries out application verification for an automotive equipment production line operation and maintenance scenario.After functional and performance testing and verification,it proves the technical feasibility and potential application possibilities of the platform.