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Industry 5.0 appears! Eight automation technologies in industrial manufacturing
Release Date : 2020-04-01 16:58:07

Currently, the manufacturing industry is undergoing a transition from manual assistance to full automation, resulting in terms such as "industrial automation" and "smart factories." And some modern large-scale manufacturing is completed by automated operations, requiring little manual assistance or no manual labor at all. In order to meet the needs of modernization, industrial automation is undoubtedly an inevitable trend.

Whether it is policies such as "Industry 4.0", "Made in China 2025", or the emerging diversified economic market, it has not only increased people's increasing attention but is also a major factor in promoting industrial automation.
This growing market can be attributed to evolving technical support. The key technologies in modern manufacturing are Industrial Internet of Things, Robotics, Artificial Intelligence, Big Data, Cloud, Network Security, New Materials and Materials Manufacturing, and Modeling, Simulation, Visualization and Immersion.
Manufacturing plants supported by these technologies have the advantages of high productivity, accuracy, safety, high quality, intelligence, and repeatability. For example, automated factories in some manufacturing industries use intelligent machines to perform the manufacturing process, and tasks that meet product durability, speed, and accuracy requirements are accomplished with minimal human involvement.

1. Industrial Internet of Things

The Industrial Internet of Things  is a technology that continuously integrates various types of acquisition and control sensors or controllers with sensing and monitoring capabilities, as well as mobile communications, intelligent analysis and other technologies into all aspects of the industrial production process, thereby greatly improving manufacturing efficiency. Improve product quality, reduce product costs and resource consumption, and finally realize the promotion of traditional industries to a new stage of intelligence. From the application form, the application of the Industrial Internet of Things has the characteristics of real-time, automation, embedded (software), security, and information interoperability.


The Industrial Internet of Things can use relevant information to complete basic tasks through tablets, smartphones and other devices. For example, companies can use data analysis to change their business to a more simplified and adaptive way to achieve long-term or short-term goals. Thanks to this super-connectivity, all departments can respond faster and increase the agility of various operations.
Not only do smart devices excel at capturing and analyzing data in real time, they are also more accurate and time-critical in the important information that drives business decisions. Therefore, the Industrial Internet plays a huge role in quality control, traceability, sustainability, overall supply chain efficiency, predictive maintenance, asset tracking, improving on-site services, enhancing customer satisfaction, and facility management.

2. Robotics

A robot is a mechanical device that performs tasks automatically. It can either accept human command, run pre-programmed programs, or act in accordance with principles formulated by artificial intelligence technology. Its task is to assist or replace human work, such as production, construction, or hazardous work.


The international concept of robots has gradually approached consensus. Generally speaking, people can accept the argument that a robot is a machine that realizes various functions by its own power and control capabilities. The United Nations Standards Organization has adopted the American Robotics Association's definition of robots: "a programmable and multifunctional operating machine; or a specialized system with computer changes and programmable actions to perform different tasks." It can be Humans bring many conveniences!
As more and more physical factories become smarter and more efficient, robots will occupy a more important position in manufacturing. And with the advancement of robotics, these machines can show more complex and excellent functions, including machine learning and memory, higher flexibility, and more effective collaboration capabilities. Robots have been regarded as an important part of manufacturing, and the existence of robots has brought unimaginable advantages.

3. Artificial Intelligence

Artificial Intelligence, the English abbreviation is AI. It is a new technological science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Research in this area includes robotics, language recognition, image recognition, Natural language processing and expert systems. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application field has continued to expand. It can be imagined that the technology products brought by artificial intelligence in the future will be the "containers" of human intelligence. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like humans and may exceed human intelligence.

Artificial intelligence technology has emerged in our daily lives in the form of driverless and industrial robots. Technology in manufacturing applications may become the new standard for analyzing large amounts of data and performing predictive maintenance.
Artificial intelligence will have a huge impact on manufacturing and automation. For example, AI algorithms can be used to optimize the manufacturing supply chain to help companies predict market changes; location search, weather patterns, consumer behavior, political status, socio-economic and macroeconomic Factors, etc., to estimate market demand.

4. Big data

Gartner, a research institution, gives this definition. "Big data" requires a new processing model in order to have stronger decision-making, insight and process optimization capabilities to adapt to massive, high growth rates and diverse information assets.
Big data requires special techniques to effectively handle large amounts of data that tolerate elapsed time. Technologies applicable to big data, including massively parallel processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.

In terms of product variety and depth, manufacturing is the most complex industry. Companies using big data in manufacturing can meet global development challenges, such as opening new factories in new locations and relocating production to other countries.

The way we store and capture data changes every day, so new standards have emerged for sharing, transmitting, updating, searching, visual querying, and information privacy. Manufacturers need to adopt more powerful technologies to keep up with the pace of data updates. The emergence of enterprise resource planning (ERP) has provided a vital role for the business development of enterprises.

5. Cloud technology

Cloud technology is a general term for network technology, information technology, integration technology, management platform technology, and application technology based on the cloud computing business model application. It can form a resource pool, which can be used as needed and is flexible and convenient.
Cloud technology is an emerging technology. Because it is not maintained locally, it cannot be stored, monitored, or protected using traditional methods. However, because it allows remote and real-time collaboration with it more effectively, cloud-based technology may become the company of the future. Main operating methods.


Compared with traditional data systems, one of the advantages of cloud technology is that cloud computing is faster, reducing maintenance and improving manageability. For example, the cloud computing ERP of the SaaS model allows customers to pay for service fees on demand based on different combinations of factors such as the number of concurrent users, the number of functions used, data storage capacity, and length of use. There is no need to pay for software licenses and no hardware equipment such as procurement servers The cost does not need to pay for the purchase of operating system, database and other platform software costs, does not need to bear the software project customization, development, implementation costs, and does not need to bear the IT maintenance department expenses. In fact, cloud computing ERP inherits the open source ERP license-free fee. The most important feature of charging only service fees is the ERP products that highlight the services.

6. Network Security

As more and more companies move their operations to cloud-based solutions and rely more and more on robotic labor, maintaining system integrity and security will become a bigger issue. And as more and more manufacturing companies build and integrate their systems simultaneously through the Industrial Internet of Things, there will also be more vulnerabilities in information security threats.


Moreover, manufacturing companies are the backbone of the continuous advancement of automation. Therefore, in an increasingly unsafe digital environment, they need to improve security.
To address these vulnerabilities, manufacturing and other industries are paying close attention to cloud-based ERP systems. And over time, businesses of all sizes will rely on cloud-based ERP systems. Perhaps future cloud-based security is one of the important components of modern ERP system functions. However, addressing the security issues of cloud-based ERP is a challenging and complex process.

7. Advanced materials and additive manufacturing

Additive manufacturing is best known under the more generic name of 3D printing, an emerging advanced manufacturing technology. 3D printing can now build large and complex structures in less than a day, a process that used to take weeks to complete.


The use of new special consumable materials is the main development direction of additive manufacturing (such as 3D printing). This technology is easier for metals and relatively difficult for high-strength alloys, ceramics, and nanoceramics.
Today, additive manufacturing has the potential to provide manufacturers with new complex designs and production capabilities that enable manufacturers to produce custom products and deliver products faster.

8. Modeling, simulation, visualization and immersion

When discussing the development of any manufacturing company, manipulating, analyzing, and utilizing data is very important. Through new forms of modeling, simulation, visualization, and interactive immersion, companies can use new technologies to more effectively present and predict scenarios.


Some innovative technologies such as modeling, immersive tools, and visualization can be used in many companies that rely on big data, including science, manufacturing, healthcare, energy, and finance.
These innovative displays are not only data, but also an effective way to help team technology development and improve task success rate.

With Industry 4.0, Made in China 2025, etc., we have reached the next milestone of a revolutionary industry. The industry links established trends between emerging technologies and manufacturing automation and data exchange, and is committed to bringing network systems into the mainstream and placing them at the forefront of manufacturing, so it is also known as the Fourth Industrial Revolution .
And with modern technology being conceptualized and implemented, Industry 5.0 has emerged. Based on the support of smart devices, more data processing and access capabilities are constantly improving, and our factories will become more productive, more efficient, and more energy efficient, and finally enter a new era.


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