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3results about How to "Realize intelligent maintenance" patented technology

Subway maintenance planning data processing method and device, medium and electronic equipment

ActiveCN116342103BRealize intelligent maintenanceimprove accuracyDigital data information retrievalForecastingData packMaintenance planning
Embodiments of the present application provide a subway maintenance planning data processing method, device, medium and electronic equipment. The method comprises: acquiring decision reference data associated with train maintenance planning in the whole subway network; based on the decision reference data, determining train maintenance planning data for each date within a future period through a pre-constructed mixed integer programming model, the train maintenance planning data including the date for each train to perform a balanced maintenance work package, the date for performing a pantograph work package, and the date for performing a car washing work package. The technical solution of the embodiments of the present application can improve the accuracy of subway maintenance planning data processing.
Owner:SHANSHU TECH (BEIJING) CO LTD +3

Needle full life cycle management system based on big data and artificial intelligence

ActiveCN122047943BRealize intelligent managementAccurately predict remaining lifeBiological modelsInference methods
This invention discloses a machine needle lifecycle management system based on big data and artificial intelligence, specifically relating to the field of machine needle management. It includes data collection, analysis, and optimization at each stage, such as needle receiving, loading, use, maintenance, replacement, and disposal. Through intelligent data analysis and prediction, the system can monitor the health status and operation of machine needles in real time, accurately predict remaining lifespan and potential risks, greatly improving management efficiency. Unlike traditional manual management methods, this system integrates various types of data through a big data platform and automatically generates maintenance strategies using artificial intelligence algorithms, achieving data-driven precision maintenance and risk warning. Furthermore, through quality traceability and risk scoring modules, the system can effectively identify potential problems and handle them in a real-time closed-loop manner, ensuring production quality. Overall, this technology provides a more efficient, transparent, and intelligent solution for machine needle management.
Owner:FUZHOU UNIV