![]() ![]() These include low bandwidth, low latency, and the perceived need to keep mission critical data on site to protect IP. Placing intelligence at the edge helps address problems often encountered in industrial settings, such as oil rigs, mines, chemical plants, and factories. The edge systems may decide what gets sent, where it gets sent and when it gets sent. ![]() These systems may not send all data back to the cloud, but the data can be used to inform local machine behaviors as it is filtered and integrated. With edge computing and analytics, data is processed near the source, in sensors, controllers, machines, gateways, etc. This makes it essential that today’s automation assets, such as PLCs, be designed to leverage IIoT and the edge. These functions will end up where it makes most sense for them to be. As the digitization of industrial systems proceeds, so does analysis, decision-making, and control being physically distributed among edge devices, the network, the cloud, and connected systems, as appropriate. Edge computing and analytics are increasingly being located close to the machines and data sources. The growth of IIoT extends the edge to industrial devices, machines, controllers and sensors. But the question is what about the technology that is embedded into these new controllers that is enabling IIoT and pushing these new devices to the edge? And will this be a trend for future controllers? To address these market trends, Honeywell Process Systems introduced its new ControlEdge PLC, an IIoT-enabled controller that can act as an edge device. They will also be capable of collaborating with powerful analytics tools, detecting anomalies in real time, and raising alarms so that operators can take appropriate actions. ![]() Besides providing control, these edge devices will securely collect, aggregate, filter, and relay data, leveraging their close proximity to industrial processes or production assets. One key part of this new infrastructure will be edge devices, which will include the latest generation of controllers, such as DCSs, PLCs and PACs. This will require the current plant information infrastructure to evolve. Data will be generated faster and in greater volume than ever before. IIoT is changing the way industrial organizations generate, collect, and analyze data.
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