Editor's note: Industrial Internet of Things, an important market segment for the Internet of Things, accounts for one-third of the market. IndustryARC predicts that the Industrial Internet of Things will reach $123.89 billion by 2021. In the face of this fast-growing market, industrial giants such as GE, Siemens, KUKA, and Rockwell are taking advantage of product and technology platform solutions to seize market opportunities. In the end, what plans will be displayed in 2017, this article gives a detailed interpretation.
In 2016, many people are not working on Industry 4.0 or on Industry 4.0.
In 2017, more people are not doing industrial IoT/IIoT cloud platform or claiming to be doing industrial IoT/IIoT cloud platform.
GE Global Chairman Immelt said long ago: "GE was a manufacturing company yesterday and woke up to become a software and data company." This statement is very vivid, the virtual world created by information technology and each The physical world corresponding to the machine is accelerating and integration, and the giants in the industrial field have to fight back. The core purpose is to apply IT technology to the industrial field. IT's huge impact on industry is pushing a new round of industrial change to two extremes: either to create a larger industrial empire or to be abandoned by the times.
Of course, the IIoT cloud platform does not come out in one day. The reason why I pay attention at this time is because GE, Siemens, KUKA and Rockwell all set their sights in 2017 and create a new ecology. According to the popular practice of marking what is the first year of the year, this year is very similar to the first year of the IIoT cloud platform. Now there are a variety of large and small IIoT cloud platforms, no less than one hundred, let's first pick a big head as a representative.
1. GE General Electric
GE is an early starter. Predix is ​​GE's core platform for reshaping the industrial roots and is fully open to all industrial Internet developers. Different organizations can control the connection of data on top and use third-party developer's analysis software.
On the one hand, Predix provides convenience for a large number of developers to develop various industrial-grade apps. Developers only need to focus on how to solve the problem without having to care about how to get and connect to the data;
On the other hand, users as data escrow parties can use these APPs for device management, operation and maintenance, and so on.
Figure: 5 steps to use Predix Analysis Services
Every industrial company has to become a digital company. This is GE's view of the future. GE also hopes that Predix will be a stop for these digital companies. It is worth mentioning that in the third quarter of 2016, Predix AnalyTIcs RunTIme introduced machine learning capabilities. Models for machine learning must be trained offline, and models after training can participate in the analysis as input and produce valuable relevant predictions.
At the same time, GE increased the promotion of APP development. In 2016, we opened a digital innovation workshop in Shanghai to increase support for industrial APP development, thus incubating a complete ecological group. According to GE VP Beena Ammanath, more than 100 industrial apps are available on the Predix platform by the end of 2016.
The picture is more powerful than the text. Research on Predix can start with the following key pictures.
Figure: GE Predix data collection, processing and management service process
Figure: Typical application of Predix: device lifecycle management
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