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Community Blog Intelligent Manufacturing in the IIoT Era

Intelligent Manufacturing in the IIoT Era

In the IIoT era, with the help of IoT technologies, a factory is like an operating system required to mobilize the resources of the physical world.

The transformation of capabilities of the existing production line is critical to intelligent manufacturing. For small- and medium-sized enterprises in China, only the combination of the industrial Internet with the IIoT can lead the way to intelligent manufacturing that fits their needs and is beneficial for them.

Manufacturing requires multiple industrial elements, including materials, products, and sales, which are widely and discretely distributed. The industrial Internet can connect many elements of industry together. It vertically connects order and production information among consumers, retailers, and wholesalers. It horizontally connects the finance, logistics, and other industries with talents and even innovation and entrepreneurship platforms. Through these connections, the industrial Internet integrates all the required elements both from the consumer side to the manufacturing side and within the manufacturing ecosystem.

In the IIoT era, a factory version of an operating system is required to mobilize the resources of the physical world. This is just like an "Android."

What resources does a factory have? The answer can be "labor, machines, materials, methods, and links." By using the IIoT, machines are interconnected to establish a scheduling system in the factory, maximizing their capabilities for improved efficiency. This is similar to the operating system of a mobile phone, which maximizes the utilization of computing resources.

Alibaba Cloud IoT products create a device-edge-cloud connection management platform and digital platform by leveraging industrial resources. We offered the following IoT solutions:

  1. Migrate all the business software programs to the cloud and provide these programs to enterprises as SaaS, significantly reducing costs.
  2. Run all resource scheduling systems on the edge and connect all the machines to the cloud to digitalize them through the IoT.
  3. Re-manage "labor, machines, materials, methods, and links" by using AI and big data to fully optimize the production system.

For details, please go to Constructing an Android-like Factory in the IIoT Era.

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Emerging Technologies in the Post-IaaS Age – The Computing Conference 2018

Building a Trusted and Efficient Industrial Internet of Things (IIoT)

In the final session, Xiaoliang Yang, Chief Architect of Siemens IoT Cloud Platform, talked about developing an Internet of Things (IoT) system for industrial applications. In most cases, IIoT is similar to commercial IoT. The biggest difference lies with the scale of IIoT. IIoT not only involves a multitude of sensors but also a large number of stakeholders, all with different business and technological requirements.

That is why for IIoT, cooperation between all stakeholders is the key. That is why Siemens and Alibaba Cloud officially announced a partnership at The Computing Conference 2018 that defines the technological roadmap and implementation plan for MindSphere's launch in Chinese mainland. MindSphere connects real things to the digital world, and provides powerful industry applications and digital services to help drive business success. Combining Siemens' PaaS capabilities with Alibaba Cloud's IaaS services, MindSphere on Alibaba Cloud will provide a comprehensive platform that offers connectivity, data analytics and industrial knowhow. This in turn will enable enterprises in China to realize novel and data-driven business models.

Siemens and Alibaba Cloud jointly launch MindSphere in Chinese mainland

Siemens'cloud-based open IoT operation system MindSphere connects real things to the digital world, and provides powerful industry applications and digital services to help drive business success. Combining Siemens' PaaS capabilities with Alibaba Cloud's IaaS services, MindSphere on Alibaba Cloud will provide a comprehensive platform that offers connectivity, data analytics and industrial knowhow. This in turn will enable enterprises in China to realize novel and data-driven business models.

On top of that, Siemens and Alibaba Cloud are committed to jointly fostering IIoT partners. MindSphere's open PaaS enables a rich partner ecosystem to develop and deliver new applications. Both companies plans to offer trainings to IIoT developers and deliver apps for industrial customers in China.

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In edge computing, data is processed close to the data collection source, so there is no longer the need to transfer data to the cloud or to an on-premises data center for processing and analysis. This approach will lessen the load on both network and servers.

Owing to its ability to process data in real time and its faster response time, edge computing is highly applicable in the field of IoT, particularly industrial IoT (IIoT). In addition to accelerating digital transformation for industrial and manufacturing enterprises, edge computing technology allows for more innovations including artificial intelligence and machine learning.

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IoT Platform is a device management platform on Alibaba Cloud that enables developers of IoT applications to implement two-way communications between end devices (such as sensors, final control elements, embedded devices, and smart household electrical appliances) and the cloud by creating data channels.

Alibaba Cloud IoT Platform shows the benefits in Device Connection, Device Communication, Device Management, Security and Easy Data Forwarding.

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At the IoT stage, the Server Load Balancer and a horizontally scalable ECS cluster push and receive high-quality concurrent data structures.

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