"Extract" :
Getting data out of the various raw business systems is a prerequisite for all work
"Conversion" :
According to the pre-designed rules, the extracted data is transformed to unify the originally heterogeneous data format
"Mount" :
The transformed data is imported into the data warehouse incrementally or completely as planned
Cross-application data fusion calculation completes data extraction-transformation-loading
Integrate the powerful Exceptionless distributed log to troubleshoot exceptions
Help enterprises quickly build data pipelines between heterogeneous data sources
The connection of each object can be completed through configuration to meet the individual needs
Fully support a variety of standard protocols, CNC systems, PLC, etc
Machined equipment, assembly equipment, testing equipment, laboratory equipment, energy equipment and other comprehensive response
Collect equipment data safely and quickly, and solve the data loss caused by the time difference between storage and PLC response
Edge computing improves the efficiency of system-device and device-device interaction
Support future-oriented data application expansion
Break down system barriers: realize direct connection between MES and equipment, and build an efficient and seamless data interaction system.
Safe and reliable: Accurately deliver MES data, collect production information in real time, and securely store historical data to ensure data integrity and reliability.
Simple and intuitive: friendly interface, easy operation, real-time monitoring and precise control of the vulcanization process, improving production management efficiency.
Efficient and flexible: The process parameters are flexible, adjustable, storable, and traceable, meeting diverse production needs and helping enterprises upgrade their intelligent manufacturing.
Not limited by time and space, real-time equipment data acquisition system
It can be seamlessly integrated with DNC, MES, APS, ERP and other systems
Plans are more accurate and measures are more scientific
According to the actual needs of users, personalized functions, interface customization
Break system barriers and build industrial big data
The integration and centralization of services are realized through enterprise service Bus
Connect flexibly with standard interfaces for true on demand
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