01 Preamble

With the continuous development of new-generation information technologies, such as smart manufacturing and industrial Internet, theIT and OT convergenceIt has become an important trend in the future digital transformation of the manufacturing industry. Thanks to open system architectures and innovative software applications, data flows between OT (industrial automation technology) and IT (information technology) systems are increasing and converging at a rapid pace.

02 Challenge

IT and OT convergence is a key trend in the digital transformation of manufacturing, but there are many challenges in the process. Some of the most significant challenges includeSecurity risks, standardization issues, data integration issues, management system issues, etc.。

These problems need to be gradually overcome through a combination of technological innovation and management innovation, such as: adopting advanced network security technologies to protect system security; promoting unified protocols and standards to solve standardization problems; using a unified data format for data integration; and establishing a scientific and reasonable management system to support IT and OT convergence.

Only by adapting to the trend of the times, actively responding to challenges and continuously innovating in technology and management can we realize the huge development opportunities and business value brought by the convergence of IT and OT, and promote the digital transformation of the manufacturing industry.

03 DataHub Solutions

DataHub as aReal-time middleware for industrial automationIt provides access to the latest technology through open, standardized industrial protocols.Secure access to industrial dataIt supports users to realize their needs from anywhere in the world. OT is fully integrated with IT systems and other applications.。

Programs

DataHub is aData IntegrationAn application platform whose primary function is to consolidate data from a variety of sources, formats, protocols, and storage media into a central location to form a single, unified data set.

With DataHub, users can eliminate data silos, quickly build a complete, accurate and real-time view of their data, and leverage that data for deeper analysis and decision-making.

At the same time, DataHub also provides rich data processing, conversion and management functions for users to monitor and analyze their data, so as to further explore the value of data and promote business innovation and breakthrough.

Core Values

✅Allows any client communicating using a supported protocol to access and acquire subsets of data aggregated by DataHub.

These supported protocols include OPC UA, OPC Classic, Modbus, MQTT, DDE, TCP, ODBC, HTTP and XML.

Regardless of the protocol used by the client to communicate, DataHub can integrate its data with that of other protocols into a unified data set and provide users with an easy-to-use way to process and manage their data.

✅Highly flexible

Connections can be made to a variety of different types and kinds of data sources including, but not limited to, SQL databases, custom programs, embedded systems, cloud platforms such as Microsoft Azure IoT Hub, Google IoT, AWS IoT Core, and any standard MQTT client or agent.

DataHub also supports real-time data history, providing the security and stability required for data transmission and enabling users to track and manage their data history and analyze and query it as needed.

✅Commitment to extend the application of real-time data to the enterprise management level

DataHub enables users to process and analyze real-time data collected from the production line to help companies achieve improvements in predictive maintenance, quality control, process optimization, and more, increasing production efficiency and reducing costs.

At the same time, DataHub also supports data integration and exchange with various management systems such as ERP and MES, helping enterprises realize digital and intelligent management from production to all aspects of the supply chain, and providing reliable data support for decision makers.

Other Functions

In addition to the various data sources and real-time data history features mentioned previously, DataHub offers the following additional features:

Connect to Excel spreadsheets and other DDEServer: Users can connect to Excel spreadsheets and other Dynamic Data Exchange (DDE) applications and software through DataHub to access or control the data they contain.

Email/SMS Notification: DataHub supports event triggered notifications. When a specific event is triggered, DataHub can send notifications via email or SMS to specified contacts, such as alarms, errors or status changes.

Data redundancy: DataHub supports data redundancy configurations with hot spare switching between the same data sources to ensure high availability and data persistence.

Camera Flow Conveyor SystemDataHub also supports camera streaming systems and can process and display video or image data captured by cameras in real time, making DataHub ideal for industrial automation, surveillance and control.

04 Conclusion

DataHub's unified data integration capability is the key to its success, providing reliable technical support and assurance for enterprise data-driven digital transformation, helping users to maximize economic and social value from the Industrial Internet of Things and Industry 4.0.

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