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With the promotion of Made in China 2025 and Industry 4.0, the whole manufacturing sector is undergoing great changes. It has become the whole manufacturing sector's strategic goal to integrate OT and IT around intelligent manufacturing to realize factory-wide interconnectivity, and rely on the fully interconnected industrial big data platform to realize flexible production and intelligent process improvement. This solution focuses on building the connectivity of the manufacturing line platform around manufacturing line data acquisition, and provide advanced solutions with data visualization.
Data acquisition layer: Complete data format analysis, acquisition and upload for different brands and different industrial protocols.
Data processing layer: Conduct data acquisition with information queue, combine and standardize data orchestration modules to realize data governance.
Data visualization layer: A big data analytics presentation platform; build a visualization platform based on business logic to transform from data to business.
There are many collection points but lack of unified management means and methods;
There are many device models and brands;
There is a lack of best practice in the conversion between industrial control protocols and IT protocols.
Break the limitations on the IT infrastructure level of your existing platform and realize full interconnection.
Including log text, tdms, dat and csv formats.
Adaptable to various scenarios
Multi-platform, multi-brand compatibility, to achieve full interconnection of information collection of production line devices;
Unified management of IoT information collection, reliable and available;
Automated data orchestration to improve efficiency and data connection visualization;
Build an industrial big data platform to provide data support for intelligent decision-making and intelligent process, and realize closed loop of intelligent manufacturing.
Help users explore data in a visualized way and reveal business value behind data assets
Explore moreEnable the integration of data and business, use data more efficiently and enhance an enterprise's decision-making ability
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