Chip su circuito stampato con connessioni digitali avanzate
Industrial Iot for data acquisition and normalization in electronic assembly

Siemens Opcenter Exection Electronics IoT (Industrial IoT)

Opcenter Execution Electronics IoT is an industrial IoT application that collects real time information from every process and every machine in the PCB assembly plant

This allows you to create the Digital Twin of shop floor performance and provide an accurate informational view of equipment, the line, and the entire factory.

Siemens Industrial Iot

Industrial IoT devices provided by Siemens collect real-time data from factory machines and communicate it to other machines and software systems throughout the plant. Accurate and comprehensive data collection is the basis for a digital factory and holistic manufacturing to achieve Industry 4.0.
Why choose Opcenter Execution Electronics IoT for industrial IoT in your factory?

IoT revolutionizes electronic manufacturing

So far, the widespread adoption of the Internet of Things (IoT) in electronics manufacturing has been sporadic and piecemeal. IoT is designed to connect everything, not to create islands of automation. For practical mass adoption of IoT to become a viable business model, the driving force must be that every entity within the entire factory benefits. Read this paper to learn about the benefits of IoT for electronic manufacturing
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Opcenter Execution Electronics Iot: ODB++M applications

Opcenter Execution Electronics IoT normalizes and enriches collected data into a single standardized specification, ODB++Manufacturing (formerly known as OML). Using the ODB++Manufacturing software development kit (SDK) provided with Opcenter Execution Electronics' IoT solution, real-time manufacturing data in ODB++Manufacturing format can be used by the company's internal applications and third-party solutions to create a complete data flow between plant and enterprise systems.

  • Closed loop feedback systems: quality, productivity, performance, flexibility.

  • Possibility of using live factory data in "big data" applications: asset utilization, productivity and results.

  • Accurate and live material consumption and spoilage: inventory accuracy, just-in-time logistics, full material traceability.

  • Precise control and visibility for resource planning and management: automated fact-based management and decision-making.

  • Process compliance, process conformity and traceability, poka-yoke control: automated, accurate, timely and precise quality management.
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