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Cloud platforms can efficiently connect various production factors such as enterprises, equipment, materials, and personnel, forming a design and manufacturing ecosystem characterized by real-time sharing and efficient operation. They are a necessary means of connecting intelligent manufacturing and promoting industrial transformation and upgrading.

Kudi Erji, a company founded on innovation, has devoted its efforts to creating the Kudi Cloud platform. Currently, the Kudi Cloud is operational and has created physical models of intelligent production and digital workshops for its partner clients.

The Kudi Cloud, developed by Kudi Erji, utilizes cloud computing and Internet of Things (IoT) technologies. Cloud computing ensures uninterrupted and secure IoT services with low-cost investment. Users are no longer limited by geographical location and can access the latest information anytime, anywhere.

The Kudi Cloud consists of a device layer, gateway, cloud platform, and application service layer. The device layer includes physical sensors and actuators used for data acquisition and control; the gateway enables communication between the cloud platform and devices; the cloud platform communicates with the gateway, acquires data, stores it in time-series and structured formats, and performs processing and analysis; the application service layer integrates with other systems and applications (such as ERP) to enable data exchange between applications.

The Kudi Cloud structure is shown in the diagram above.

The Kudi Cloud gathers various types of data, including data collected from production lines, data from management information systems, and data from external connections, including data from users and collaborating companies. It achieves lossless digital mapping and description of physical objects such as equipment and production lines, as well as processes and manufacturing workflows.

After the completion of the Kudi Cloud, firstly, it promotes information interaction between management systems, such as design systems, production management systems, customer relationship management systems, and supply chain management systems; secondly, it promotes comprehensive data sensing and collection, including the collection of operating status information and production environment information during the production process; thirdly, it promotes data integration and analysis, realizing production control and various intelligent management decision-making applications; fourthly, by deploying edge computing nodes, it realizes edge data analysis and processing to meet the needs of real-time control and data security; fifthly, through external interconnection, it gathers product data, user data, environmental data, and collaborative enterprise data, and utilizes big data technology to achieve comprehensive storage, analysis, and processing of massive and complex data.

The Kudi Cloud in the laser blanking production line

Plays an important role: