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Understanding the intricacies of differentiating between Remote IO, Distributed IO, and Ethernet IO drops can be quite complex, especially given the various terms and definitions used by different manufacturers. Essentially, the choice depends on your specific needs regarding IO configurations that are physically distant from the main PLC. When making this decision, factors such as functionality, ease of integration, cost, and current availability are crucial considerations. Many are often confused, particularly by Schneider's terminology.
Schneider commonly speaks about "Remote IO," which they interchangeably use with "Ethernet Remote IO (ERIO)." ERIO is their time-deterministic IO system designed for mission-critical timing applications. This system is part of the M580 PLC family using x80 hardware, often referred to as "Ethernet IO drop" in Schneider's context. Essentially, "Ethernet IO drop" is synonymous with ERIO.
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In contrast, "distributed IO," as defined by Schneider, encapsulates what the industry broadly refers to as "remote IO" hardware. This term covers non-time-deterministic IO that is physically separated from the main PLC and connects via various serial or ethernet-based networks.
For distributed IO setups, the process involves the PLC sending a query to an IO system located some distance away. A straightforward implementation might include reading inputs, processing them, and subsequently sending outputs once the processor schedules the update. The M340 and M200 series PLCs, along with various distributed IO systems like TM3 bus couplers, Advantys STB, Turck, Wago, and Weidmuller, are examples.
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While these terms might be used interchangeably, subtle but important differences exist. Remote IO usually implies time-sensitive data transfers, suitable for applications where precision timing is critical. Distributed IO, on the other hand, often refers to configurations that are somewhat less stringent on timing, leveraging a range of communication networks to connect with the main PLC. Lastly, Ethernet IO typically highlights connections relying on Ethernet protocols, with different manufacturers implementing varying levels of determinism and timing constraints.
In a rapidly evolving landscape, staying updated with new technologies and methodologies is essential. Recently, there has been a shift towards integrating these different IO systems with IoT and cloud solutions for enhanced data analytics and monitoring. Moreover, security has become a top priority, leading many to opt for encrypted communication protocols even in distributed and remote IO setups.
Q1: Can I mix and match different types of IO in my setup?
A1: Yes, combining different IO types is often possible, provided you ensure compatibility and proper synchronization among the systems.
Q2: How do network latencies affect Remote and Distributed IO?
A2: Network latency can significantly impact time-sensitive Remote IO applications, requiring highly deterministic networks. Distributed IOs are generally more resilient to latency but still depend on the specific use case.
Q3: What are the cost implications of using Ethernet IO?
A3: Ethernet IO systems typically involve higher initial costs due to more sophisticated hardware and infrastructure requirements but can offer long-term savings through enhanced efficiency and scalability.
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