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Big Data Shaping Demand for IIoT and Industrie 4.0

The Internet of Things, boiled down to the essence, is about data. Industrial applications have been gathering process data for decades. So what has changed in how and why we collect data?

The problem with Big Data in recent decades hasn’t been the capability to collect or store it. We’ve had the means to store and access large amounts of data for years. It’s gotten much cheaper, as have the sensors and devices that collect it, but the ability to gather information is not new.

What’s changed?

The biggest change that has ushered the era of Industry 4.0 and the Internet of things is how we use and contextualize that data. Rather than simply collecting it, information stored in the cloud can now be displayed in real-time dashboards, or compiled into specific and informative reports. Data can be used to help develop a ‘normal’ baseline that can then alert machine operators to deviations. Data can inform maintenance crews where they’re needed, or help them troubleshoot problems.

Data is finally remote. We can now access machines from anywhere, which makes intelligent networks of machines far more useful than before. When we don’t have to be physically near the machines to interact with them, the Internet of Things begins to make much more sense.

With the surge of the Industrial Internet of Things and Industrie 4.0, the number of embedded devices used for M2M (Machine to Machine) data exchange increase will increase. Analysts predict that up to 100 billion units may be added to the Internet of Things by 2020. For machine builders, value added resellers, and system integrators this means that demand for machine functionality will rise sharply among customers. They will demand interoperability, the ability to exchange data with cloud-based systems, user-friendly local configuration options, and maintenance. Rather than an isolated set of units, these devices will be an integral part of the overall automation system (and even supply chain).

Luckily, InduSoft Web Studio is poised to meet these demands with an all-in-one solution that will easily integrate these machines with cloud-ready SCADA solutions. InduSoft’s   IoTView was built especially for the internet of things, and as a result, it offers a small-footprint HMI solution that is suitable for systems with low computing requirements. IoTView is platform agnostic, and offers a core runtime solution that supports some configurations of Linux and VxWorks.

InduSoft Web Studio includes over 240 native communication protocols for M2M communication with a wide variety of devices to satisfy demand for highly scalable, highly flexible machines with seamless communication capabilities. Remote capabilities allow remote maintenance and monitoring, and other added value options like on-site configuration and the ability to view machine HMIs on smartphones or tablets.

The ability to scale from a single unit of an intelligent networked system up to a sophisticated SCADA solution is what makes InduSoft Web Studio uniquely prepared to make the Internet of Things a reality for any industry.

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