As industrial manufacturing companies looking for solutions knew that first and foremost, they needed greater visibility into their operations– especially real-time visibility. Instead of relying on unsatisfactory communications between machines and applications, they turned to integrating IIoT with their legacy systems.
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With more sensors now existing on the planet than people, companies are looking for new ways to reduce latency and increase security in their IIoT data. The answer they’re finding? The “fog.”
It seems that IIoT is disrupting the industrial sector in the best way by guaranteeing these improvements, but the fact is that most companies are not correctly or effectively implementing IIoT. Because IIoT gathers huge amounts of quantitative, largely unstructured data through sensors, your current analytics system is likely to be overwhelmed. Luckily, you just need one key to unlock the treasures that IIoT data has to offer: artificial intelligence (AI).
IIoT (Industrial Internet of Things) is how we connect our machines to an infrastructure instead of connecting machines to applications. IIoT has helped manufacturers make such amazing strides in increasing quality control, traceability, sustainability and overall efficiency that it’s even been called our next Industrial Revolution.
SAE (Society of Automotive Engineers) J1939 is a protocol and network standard used in a wide range of vehicles and equipment that are powered by diesel engines with electronic controls.