Most popular win at the edge of computing 40 Schne

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Win on the edge computing 4.0 Schneider Electric helps prepare for the future

in 2015, young people in China's first tier cities packed their wallets and took the lead in replacing cash with QR codes. The upsurge of electronic payment has swept the country, and the cashless society is gradually beginning; In 2017, convenience stores without cash register appeared on the streets, challenging integrity and rules, but also breaking through the transaction mode inherited for thousands of years; In 2019, a surgeon in Fujian Province successfully removed the liver of an experimental animal by using a 5g network to control a manipulator in a remote area 50 kilometers away. The concept of distance and space was once again defined and reshaped; In 2020, the sudden epidemic caught people's feet, but the pace of business development and economic development from offline to online has not stopped.

whether it is electronic payment, unattended cashier, telemedicine, education, driverless, smart factory and other scenes, all of them indicate the digital era, which came earlier than expected

for most enterprise managers, the concept of digitalization is no stranger. In the past decade, enterprises in all walks of life have experienced the impact of digital technology and products on the traditional production and business model. The gradual improvement of artificial intelligence, big data, blockchain, automation and other technologies has brought earth shaking changes to the production efficiency and business model of enterprises. From the 12th Five Year Plan for the development of strategic emerging industries issued in 2012 to the smart manufacturing development plan (201 they have come to Shenyang since 2013) in 2017, and the 13th five year plan for national informatization, all of which indicate the determination and confidence of China's digital transformation

IDC predicts that by 2023, China's digital economy driven by digital products and services will account for 51.3%, and digital products and services will become the mainstream. Gartner predicts that in 2025, more than 75% of the data needs to be analyzed, processed and stored on the edge. The development of 5g network and IOT technology has sunk the computing power from the cloud to the edge

if cloud computing and fog computing are the stepping stones to the digital transformation, then edge computing is an important way to solve the future digital problems. Obviously, many enterprise managers have gained insight into the importance of edge computing and started to lay out the infrastructure and applications related to edge computing. John Vicente, chief technology officer of Fault Tolerant Technology Co., Ltd., pointed out in an article recently that edge computing has undoubtedly become a necessary technology for enterprises to start their digital journey. In the next decade, enterprises that take the lead in entering edge 4.0 will take the lead

from 1.0 to 4.0, the future evolution of edge computing

in order to visually show the future development direction and stage of edge computing in the digital era, John Vicente class at the same time compared with the industry's classification of driverless, proposed the maturity model of edge computing in the industrial field, and divided the maturity of edge computing into four levels, from an isolated static system of 1.0 to an invisible adaptive system of 4.0 Self management system

edge computing 1.0 is about how to safely, manage and connect machines and devices to enable digital edges. The data shows that most enterprises are still in the stage of edge computing 1.0, which only has the basic capabilities needed to successfully realize business operations in the digital world

in phase 2.0, edge computing began to adopt open, software defined technology. Software definition technology refers to extracting various functions from the underlying computer hardware and enabling these functions to be implemented in software. This is consistent with the concept behind server virtualization, which has existed for many years. Recently, this technology has been applied in various fields including computing, storage, networking and security. For example, with the help of software defined network (SDN) technology, enterprises can modify various attributes including routing table, configuration and policy from the centralized control platform without modifying the attributes of each switch one by one, so as to manage the network more easily. Similarly, the technology defined by software has also contributed to the realization of security services based on cloud technology, so that enterprises do not need to have their own running firewalls and intrusion detection/protection systems

at the stage of edge computing 3.0, it and ot will truly integrate, with a series of flexibility and real-time capabilities. Today, there are still many industrial fields that it has not reached. For example, factories need mechanical control systems to perform deterministic behavior and ensure safety. These control systems were born in the field of operation technology, not in the information technology industry

this situation began to change as the technology applied in the data center began to shift to the industrial edge. It is expected that by about 2025, the concept of virtualization will be applied to the industrial field to realize machine level real-time functions in security, control system and other traditional operation functions. The industrial sector will adopt cloud and enterprise data center functions (such as resilience and fault tolerance), which have long been a feature of the IT sector. In fact, the industrial field is integrating the physical industrial world into an open, software defined model, which has been the trend of the IT world for many years

implementing the function of edge computing 3.0 is a necessary condition for the successful transition to edge computing 4.0. In the stage of edge computing 4.0, it and ot infrastructure and operations will be integrated with artificial intelligence (AI), and an industrial field of self-management, self-healing and automation will be born. Once the machine has problems, the AI system can diagnose and repair without human intervention

it may be another decade before we can see the realization of this vision, but the journey of digital transformation on the edge has begun. We can't directly jump from 1.0 to 3.0. We must build the capabilities required in each stage to move forward stage by stage. But the final result is to realize transformation and create a modern, flexible, efficient and resilient industrial world. Therefore, a highly reliable and elastic integrated edge it system is the fundamental guarantee to ensure the integration of it and ot. It can not only overcome the complex and harsh environment of industrial scenes, but also overcome the challenges of lack of on-site IT personnel and numerous sites

one stop solution to build a future oriented edge computing infrastructure

as a digital transformation expert in the field of global energy management and automation, Schneider Electric has the most comprehensive standardized, modular and intelligent solutions and product lines in the industry in the field of cloud computing data center and edge computing data center. Schneider Electric has accumulated rich business practice and experience in various fields of edge computing applications, which can provide customers from all walks of life with a complete one-stop solution to the edge challenges they face in different scenarios. 1. Transmission: there are lead screw transmission and rack transmission solutions

take the capsule Data Center launched this year as an example. This is Huasheng Ruiying technology under Schneider Electric and Huasheng Tiancheng Technology Co., Ltd. for edge computing scenarios, it provides customers from all walks of life with edge computing data center solutions with integrated design, one-stop deployment and one click management. The capsule data center includes Schneider Electric's new generation imDC intelligent micro data center and Huasheng Ruiying technology's hyperx private cloud. At the same time, it includes refrigeration module, power supply and distribution module, physical infrastructure unit and digital service innovation technology, which are classified by use and include network, monitoring, environment, etc., and can provide enterprises with highly integrated data center infrastructure. Applicable to various edge computing scenarios in retail, medical, financial, education and other industries, as well as industrial scenarios including oil and gas and telecommunications industries, it is a new model for edge computing scenarios and the integration of it and ot

Schneider Electric ecostruxure it expert (ITE) it infrastructure digital cloud platform, tailored for different application environments such as edge computing and small and medium-sized data centers, integrates cloud technology, mobile technology, AI technology, IOT technology and machine learning technology. Through the collection, storage, analysis and cloud visualization of key data of complete it infrastructure such as power supply and distribution, refrigeration and environment, Truly support the IT infrastructure business and equipment management of users in all walks of life

the integrated IT infrastructure and mature and reliable management and operation software are the magic weapons Schneider Electric has prepared for the future edge 4.0 era. It can not only be easily deployed or deployed while growing, but also can be remotely managed and predictive maintenance, so that edge devices can realize self-management, self repair and other functions, and completely solve the shortage of professional IT personnel and other problems

2020 is coming to an end and will eventually be recorded in history. The pace of digital transformation has been catalyzed and erupted in this year. In order to go far and steadily in the next journey, actively dealing with and solving the challenges of edge computing is the fundamental foundation. Schneider Electric will also build a reliable cornerstone and continuous power for customers' digital transformation based on its forward-looking insight, innovative technology and practical experience in the field of edge computing

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