Data Integration
Comprehensive dataset collection from multiple manufacturing enterprises for analysis.
Data Cleaning
Feature extraction is not only a technical link, but also a "translator" connecting AI algorithms and lean maintenance business. It converts the physical signals of equipment into the digital language of management decisions, turning the lean concept from a qualitative principle into a calculable and optimizable quantitative system.
Feature Extraction
In the process of applying artificial intelligence to evaluate lean maintenance concepts in manufacturing companies, data cleaning is the core link to ensure model accuracy and decision reliability. Manufacturing data usually comes from heterogeneous systems such as PLC, SCADA, and MES. Protocol fragmentation (such as Modbus, OPC UA, and Profibus) leads to incompatible data formats. Deploy lightweight algorithms at edge nodes to filter invalid data and compress transmission volume.
Comprehensive Data Solutions for Manufacturing
We specialize in gathering and analyzing structured and unstructured data from manufacturing enterprises to enhance operational efficiency and support informed decision-making.
automobile manufacturing industry
The automotive manufacturing industry is undergoing a triple paradigm shift of "technology-energy-location", and companies need to simultaneously cope with carbon neutrality compliance pressure, geopolitical supply chain risks, and consumer experience upgrade needs. Future competition will focus on ecological integration capabilities, that is, how to connect the entire value chain of "battery minerals-intelligent manufacturing-recycling network" through digital tools to build a sustainable industrial moat.
