It may not be appropriate to refer to 2017 as the first year of the Internet of Things platform, but in 2017 the industrial IoT platform has indeed evolved from a “masterless and independent†attitude to a pattern of crowds and dominance. (In terms of platform naming, there are usually two kinds of industrial Internet platforms and industrial Internet of Things platforms. The specific differences between the two are not discussed here, and they are equivalent to one meaning for the time being).
On December 8th, at the 2nd World Conference on Intelligent Manufacturing in Nanjing, Prof. Jian Jian, the founder of Zhongguan, personally released the upOS industrial operating system supOS. What is supOS? Judging from the objects it targets, it is also an industrial Internet platform. In this way, the main players on the field include the following:
GEPredix
GE first ignited to see this war. In August 2015, GE announced the launch of its first Predix cloud platform for industrial data and analysis. In February 2016, Predix was officially open to developers.
Initially, Predix was a software platform dedicated to servicing large equipment such as engines, steam turbines, and MRIs, including providing predictive maintenance to jet engines and reducing downtime. Therefore, the collection and analysis of data on product operating status, and further optimization of product performance to provide data support have become the biggest strength of the Predix platform.
The four core functions of the Predix platform are: security monitoring of linked assets, industrial data management, industrial data analysis, cloud technology applications, and mobility.
Siemens MindSphere
Siemens announced the launch of MindSphere cloud platform at the Hannover Messe in April 2016. One year later, MindSphere has become Siemens' most core exhibiting content.
As a platform-as-a-service (PaaS), MindSphere has the advantage of enabling full system integration and data fusion.
At the industrial interconnect level, MindSphere connects devices via the MindConnect tool box. At the data analysis level, MindSphere has integrated its own Sinalytics analysis platform, integrating a range of existing technologies and new technologies such as remote maintenance, data analysis, and network security. It also enables the integration and confidential transmission of large amounts of data generated by machine sensors. And analysis. It is reported that it is mainly to improve the monitoring capabilities of gas turbines, wind turbines, trains, buildings and medical imaging systems.
At the platform application level, Siemens has launched the Industrial App App Store, which has developed about 50 APPs, including reducing safety risks, monitoring energy consumption, energy efficiency analysis tools, automation and control system management tools, etc. APP applications improve the performance of connected devices and factories.
MindSphere is the application of cloud computing technology in industrial production
Predix and MindSphere start from the realization of the interconnection of industrial equipment, through the acquisition, storage and analysis of equipment data to achieve the optimal control of the process, and then promote the construction and implementation of smart factories. At the industrial control level, MindSphere appears to perform better than the Predix platform.
ABBABBAbility
In October 2016, ABB Group released the new digital strategy ABBAbility for the first time in the third phase of the "New Phase" strategy. In June 2017, ABBAbility was officially released in China.
ABBAbility is defined as a cross-industry, integrated digital solution for devices, edge computing, and cloud services.
At the equipment level, ABB has a huge installed capacity, 70 million digital devices, 70,000 sets of digital control systems, and 6,000 enterprise-level software solutions that provide a solid data foundation. The edge equipment is responsible for the access of industrial equipment, data collection of key equipment parameters, values, and attributes. The ABBAbility edge computing service performs data processing and display. The top-level cloud platform is used for advanced optimization and analysis of industrial performance.
Currently, ABBAbility already contains more than 180 solutions that cover:
- Performance management solutions for asset-intensive industries;
- Control systems for the process industry;
- Remote monitoring services for robots, motors and mechanical equipment;
- Control solutions for construction, offshore platforms and charging infrastructure for electric vehicles;
- Solutions for specialized areas that meet the needs of data center energy management and ocean route optimization.
Schneider Electric EcoStruxure
In April 2017, Schneider Electric officially launched a new generation of EcoStruxure platform, which means a high profile into the digital battlefield. In fact, EcoStruxure was introduced ten years ago. At that time, it was positioned as an energy efficiency management platform and did not carry such a heavy digital ambition.
The new generation of Ecostruxure platform is based on the systematic architecture of the Internet of Things, which enables Schneider Electric's products and equipment to truly realize open, interactive and large-scale deployment on this platform. The platform includes a three-tier architecture: interconnected products, edge control, and applications, analysis, and services. The former two are Shijia hardware products and systems, and the third tier - application, analysis and service - is the focus of Schneider Electric's direction in the cloud platform.
Schneider Electric has deployed 450,000 EcoStruxure systems with 9000 system integrators since 2007.
Emerson Plantweb
In 1997, Emerson launched Plantweb, the world's first site-based digital factory architecture. At the end of 2016, Emerson announced the expansion of its upgraded Plantweb digital ecosystem.
Plantweb is a standards-based portfolio of scalable hardware, software, smart devices and services.
The data layer mainly uses Emerson's extensive measuring instruments to realize the complete perception of industrial operating conditions.
The security layer mainly solves the transmission and storage of traditional data, and implements interconnection and data access of heterogeneous devices through application gateways. The data security transmission technology at the access end enables secure data access of OTs and IT, allowing users to selectively connect protected control and operational system data from the protected enterprise application platform in the cloud environment.
The application layer integrates various device monitoring software to analyze and optimize the health status, operational performance, and energy consumption of the device. It also supports mobile applications that deliver information on the entire industrial IoT platform to experts through cloud services, thereby providing remote services.
Central control supOS
supOS is an integrated industrial operating system integrating industrial big data full integration platform, industrial intelligent APP configuration development platform, industrial big data analysis platform, industrial artificial intelligence engine service, industrial intelligence APPs, etc., and realizes cloud (cloud Internet platform) and enterprise ( The three-layer unified architecture of the factory's Internet platform and the edge (edge ​​computing node) can realize the integration of management and control.
Although a number of heavyweights will be faced as soon as they enter the court, Zhonghua still has confidence in supOS. Excavating the value of industrial data has always been a matter of concern and consideration for SMIC. In the past 25 years, SMIC's technical precipitation, the actual needs of more than 10,000 users, and the implementation and maintenance experience of more than 20,000 systems have also laid a foundation for the promotion and application of the supOS operating system. A solid foundation.
It is the goal of supOS to use enterprises to realize full integration of information in the plant area as a breakthrough and build a fully integrated industrial big data platform.
Honeywell Industrial Association
In 2016, Honeywell formally adopted the Industrial Internet of Things as an important strategy for the Group's development and established a digital transformation business unit in the Process Control Department. Honeywell does not launch industrial IoT platforms like Predix and MindSphere, but instead implements digital transformation in the form of industrial IoT solutions.
Honeywell defines the industrial Internet of Things as a six-tiered architecture that includes the real-time awareness layer, data connectivity layer, interface layer, cloud service layer, analytics computing layer, and application layer from the bottom up.
At the sensing level, Honeywell has a variety of sensing components and smart devices. At the data connectivity level, Honeywell’s MatrikonOPCUA unified architecture software development kit is an effective solution for deploying industrial IoT across product lines. At the data analysis and application level, Honeywell provides three kinds of analytical applications: 1. Real-time big data analysis application; 2. UOP oil refining and chemical process technology and products; 3. Combining visual display and workflow key performance index to form A closed-loop, real-world application for production management.
In addition, the platform that the industry often hears is that there are two Phoenix Contact ProfiCloud, KUKAConnect.
ProfiCloud
ProfiCloud technology enables PROFINET users to implement secure and fast underlying device interconnection without adding any hardware cost. At the device connection level, the ProfiCloud Coupler connects the local PROFINET network to the ProfiCloud cloud platform via Industrial Ethernet and also enables the ProfiCloud service to be used in PROFINET. For remote devices, distributed controllers are used to connect with ProfiCloud over the Internet without further configuration or programming.
The positioning of the ProfiCloud industrial cloud platform is limited to the interconnection of industrial devices and data acquisition under the support of the PROFINET standard. Whether it involves data analysis is not yet understood.
KUKAConnect
KUKAConnect is the latest batch solution for smart manufacturing launched at 2017 KUKA Online Store.
The positioning of KUKAConnect platform is to connect KUKA's robots and related industrial products, real-time monitoring of the status of the equipment, and then analyze and optimize the status and performance of the robot. The platform is a subscription-based platform that requires no software installation. In addition, the platform also supports an ecosystem of add-on applications developed by KUKA and third-party vendors.
Cloud Internet
Any individual IoT platform is not likely to provide all the features that customers need. ABB has repeatedly stated on public occasions that in the future there will be "Internet cloud" applications that interoperate across multiple Internet of Things platforms. If the APIs and data formats are compatible, the solutions for each platform can be interconnected.
If you can, look forward to the realization of that day sooner!
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