IOTech Systems Limited
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Leveraging existing data to optimize production
To help create operationally efficient smart factories, manufacturers are increasingly focusing on automating the data exchanges between their equipment and control systems, as well as adopting modern technologies such as edge AI and computer vision.
IOTech’s Industrial IoT edge platforms provide the software foundation on which users can build autonomous decision-making processes, monitor assets and processes in real-time, and create unified networks and systems through simple vertical and horizontal integration.
Key manufacturing uses cases addressed by the next generation of Industrial IoT and edge computing solutions include:
Through IOTech’s edge computing solution, we are able to create an optimum product and service that brings significant value to our customers.
Jim Chen, General Manager of King Steel
A smart manufacturing system, however, must be able to address the following key technical challenges:
Our edge platform provides the following key functions:
Challenge: King Steel requires integration with Modbus and Siemens S7 components within their manufacturing equipment. The data should be normalized and available for local decision-making and control, as well as delivered to other SCADA systems within the factory.
Solution: IOTech’s advanced OT connectivity solutions provide simplified integration with a broad range of industrial devices and enable the acquisition of real-time machine data at very low latencies. The required multi-device normalization is provided by an Industry 4.0 data layer based on the OPC UA standard with support for both client/server and publish/subscribe communication models.
Edge services, edge system onboarding service, edge system product roadmap acceleration, edge product design, edge product configuration service, edge system product integration service, manufacturing software, edge computing software, IIoT, Industrial IoT