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Siemens and Mitsubishi Electric Drive Industrial IoT Forward

Siemens and Mitsubishi Electric Drive Industrial IoT Forward

Siemens and Mitsubishi Electric are both driving innovation in the Industrial Internet of Things (IIoT), which is changing the way industries operate. As more industries are becoming connected and digitized, the demand for smart and efficient industrial solutions is increasing, and both companies are leading the way.

Siemens' "Digital Enterprise" strategy seeks to connect the entire value chain of a manufacturing company. The company's MindSphere is an open and cloud-based IoT operating system that provides data analytics and machine learning capabilities. This enables production processes to be improved and predictive maintenance to be enabled. Siemens is also working on developing digital twins, virtual replicas of physical products and processes, to optimize production processes and enhance efficiency.

Mitsubishi Electric's "e-F@ctory" concept provides smart manufacturing solutions. The company's iQ-R series programmable logic controller (PLC) combines traditional PLC benefits with IoT advantages. It can collect and analyze data from sensors and machines in real-time, providing insights that can be used to optimize production processes. Mitsubishi Electric is also developing edge computing capabilities, enabling data processing to be performed locally on the factory floor, reducing latency and increasing efficiency.

These IIoT solutions have applications in a range of industries, including automotive, aerospace, and food and beverage. Automotive manufacturers are expected to be early adopters of these smart solutions as they seek to improve production processes and increase efficiency. Aerospace companies can also benefit from the use of digital twins to optimize design and production processes, while the food and beverage industry can utilize IoT solutions to monitor and control production processes, improving quality and reducing waste.

Siemens and Mitsubishi Electric are leading the charge in IIoT innovation, focusing on data analytics, machine learning, digital twins, and edge computing. Their solutions help industries meet the challenges of the digital age, enabling them to optimize their production processes, reduce waste, and increase efficiency, giving them a competitive advantage in the global marketplace.

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