Smart Manufacturing and Industry 4.0
Leveraging existing data to optimize production
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 for users to build autonomous decision-making processes, monitor assets and processes in real-time, and create unified networks and systems through simple vertical and horizontal integration.
Smart Manufacturing Solutions and Industry 4.0
Operational Benefits
Key manufacturing uses cases addressed by the next generation of Industrial IoT and edge computing solutions include:
- Equipment protection
- Predictive maintenance
- Production flow monitoring
- Production optimization
- Supply chain optimization
Customer Quote...
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
Technical Challenges
A smart manufacturing system, however, must be able to address the following key technical challenges:
- Acquire edge data from a wide variety of industrial sensors,
machinery and PLCs - Support both greenfield (new) and brownfield
(existing) factories - Integrate to Cloud systems for remote
management and access - Be able to deploy to and manage multiple
machines at scale - Address security concerns
Professional Services
Key Benefits of the IOTech Manufacturing Solution:
Our edge software platform provides the following key functions:
- Interoperability - provides the necessary protocol translation for communication to be established between devices that are otherwise not able to communicate
- Local processing - enables the offloading of computing tasks from smart devices by caching/storing information and acting as a private subsystem that can be accessed remotely
- Quality of service - can maximize the effectiveness of available network bandwidth while minimizing endpoint bottlenecks
- Security - can be used to support more sophisticated security solutions than those implemented on each individual endpoint, creating a good defensive, in-depth strategy for the whole factory network
- Local storage - helps save transmission costs by only sending relevant data to the cloud. In many cases, it is more efficient to have the edge platform capture the data and make analytical decisions locally
Customer Example: King Steel Use Case - IOTech delivers connectivity solutions to King Steel’s Award-Winning Injection Moulding Machines NexCell®
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 and 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.
Benefits:
- Creates new revenue opportunities through a new generation of software-defined control solutions with flexible connectivity even with competitors’ devices.
