Smart Machinery Accelerates the Transformation of the Machinery Industry
Trend

Smart Machinery Accelerates the Transformation of the Machinery Industry

The Smart Machinery Cloud Platform intends to establish standardized terminal software and hardware, application service development tools, and an operation platform to assist enterprises in their digital transformation.
Published: Jun 14, 2022
Smart Machinery Accelerates the Transformation of the Machinery Industry

The Development Background of Intelligent Machine Cloud

The machinery industry is the main pillar of Taiwan's economic development. In the past, through the integration of upstream, midstream, and downstream resources through complete precision machinery settlements, highly competitive products were created and successfully entered the international market. However, with the trend of the world, Taiwan's small and medium-sized enterprises seek transformation and upgrading and move towards intelligence and digitalization. However, not only the required cost is a heavy burden, but even excluding input cost considerations, in the absence of digital talents and digital resources, how to transform has become a daunting test for small and medium-sized enterprises.

In the past, various mechanical clouds were incompatible with each other, and it was difficult for software services of different developers to coexist and use. Using the mechanical cloud platform, customers can download and install software across borders. Even during the epidemic, customers can be served remotely. The smart machinery cloud is to assist the smart machinery industry to realize service-oriented manufacturing.

What is Smart Machine Cloud?

The "Smart Machinery Cloud Platform" is like an application store for the machinery industry. After entering the platform, manufacturers can inquire by industry and application category, a software function, or developer category, or directly browse the software introduction, download, install, maintain, and update by themselves. Now it covers metal Processing, metal forming, plastics, textiles, electronics, fasteners, and other industrial applications, enhances the added value of the domestic machinery industry, and makes great strides toward smart manufacturing.

By developing technologies such as smart machine networking, cloud computing, software virtualization, and containerization, build a smart machine cloud platform, which includes a standardized smart set-top box execution environment and information model, standardized development and installation process, standardized e-commerce operation platform, etc. It is the only cloud service platform built for the machinery industry in the world.

The SaaS (Software as a Service) module provided by the smart machinery cloud platform can help the industry to overcome the problems of system integration and lack of software development energy, and establish related metal cutting equipment, electronic equipment, metal forming equipment, plastic rubber equipment, textile equipment, and other cloud-based smart modules to provide equipment value-added services to assist manufacturers in rapid digital transformation.

Applications and Benefits

This platform can help service developers reduce development and maintenance costs, and quickly provide products and services to global customers through the e-commerce platform while being protected by the information security of an international platform. End users can obtain various application services on the cloud platform, which can effectively reduce production costs, control delivery time, and improve reliability and quality. At present, the machinery cloud platform has 165 APPs, general and professional equipment spanning five industries of metal processing, electronic equipment, metal stamping and forming, plastic injection, and textile equipment.

Smart Machinery Cloud Leads Enterprises to Smart Manufacturing

Smart manufacturing requires the integration of precision machinery and smart technology. How does the Taiwan Machinery Association provide an open platform, connect upstream and downstream partners, and integrate software and hardware to assist precision machinery equipment manufacturers to concentrate on their deep cultivation through partners? Add value and transform into a smart machinery manufacturer.

It is hoped that Taiwan's machinery industry will transform from an SI manufacturer of precision machinery to an SI manufacturer of intelligent machinery. The first step is to connect the equipment to the Internet, and the second step is to build the mechanical cloud as a carrier, which allows each system vendor to upload their developed APPs and operate as a platform.

Mechanical Cloud Avoids Repeated Investment in Manpower and Material Resources by Sharing Resources

Overall, Taiwanese manufacturing SMEs account for more than 90%, and equipment industry SMEs also account for about 85%. Therefore, the transformation into intelligent machinery will face great obstacles. If small machinery and equipment enterprises do not have the resources to do intelligentization, medium and large-scale machinery and equipment enterprises are faced with the problem of talent and resource-heavy industry.

In the market, it is not easy for the machinery industry to find software talents, because it needs to compete with the information industry and the electronics industry for talents. On the other hand, 70% to 80% of most of the requirements required by customers are almost the same, but they are developed separately. Result of this heavy industry results in a lot of unnecessary waste and hinders the development of the industry.

To avoid wasting resources and repeating investments, the first thing to solve is the problem of different interfaces interface standards are important. Regardless of whether it is for the upper system or the machine-to-machine interface, if it cannot be integrated into a series, it will not be able to play a synergistic effect to enhance the value.

Realize the Software and Hardware Integration of Equipment + Software with an Intelligent Mechanical Cloud

Smart machinery and smart manufacturing complement each other. The intelligent value of machinery and equipment lies in improving the production efficiency and product quality of the manufacturing plant. That is to say, the value of machinery and equipment can only be reflected in the manufacturing field. Therefore, the value of equipment can be enhanced by intelligence, and production benefits can be generated in the customer's factory. In this way, an ecological circle of positive circulation is formed.

Smart machinery is mainly formed by integrating the original precision machinery technology with information and communication technology, that is, integrating IoT, big data, cloud technology, etc., and combining precision machinery technology to form smart machinery. With the development of smart machinery, there is an opportunity for equipment manufacturers to switch from selling single machines to providing turnkey solutions.

Break Interface Barriers with Standard Runtime

In the overall architecture of the mechanical cloud, the biggest key point is integration and compatibility. After discussions among various industries, universities, and research institutes, the Machinery Association and the Industrial Technology Research Institute jointly proposed the so-called standard Runtime, through which the gap between each other's interfaces was opened. Through the implementation of the standard Runtime environment in the controller, the problem of inconsistency in the interface of everyone's mechanical equipment can be solved.

Cross-border Integration of IT+OT Generates New Data Value

When various OT applications are aggregated into the smart machine cloud, the device data can be visualized and applied appropriately. However, at the production site, not only equipment information needs to be extracted and applied, but also IT data and applications. For example, when producing a product, starting from obtaining a work order, what kind of process is required, what kind of tool and mold are required, what materials are used, etc. These IT data are also equally important.

Standard man-hours are used to always obtain rough data on the start and end of manufacturing. However, if we can use the information of IT+OT, we can start to restore the manufacturing process of this work order, including loading and unloading, waiting for time, abnormal time, etc., which can help us arrange production more effectively. Or if you can know the tool die used the work order, and machine conditions, you can calculate the more accurate service life of the tool die, and avoid unexpected downtime or quality degradation as much as possible. In other words, lack of IT or lack of OT, although each still has its value, working closely together can create a higher and deeper application value for manufacturing enterprises.

Constructing Taiwan Machinery Industry Cloud Service

The "Smart Machinery Cloud" platform will expand and optimize the functions of the platform and modules according to the needs of different industries, provide software development tools that can be commonly used, and help various industries to develop their cloud service development technical capabilities. The equipment system of the machinery industry is different from general consumer 3C products. Its service model still requires professional intervention to provide consultation and on-site installation. Therefore, domain knowledge is still an extremely important part of the service chain.

Looking forward to the future, the intelligent machinery cloud, which plays the role of market service, will not only build intelligent production lines for technical verification in the field of the industry, quickly connect with consumers, and form a networked manufacturing service system, but also establish a service system development and application community. Facilitate the formation of digital settlements of small and medium-sized enterprises. The true meaning of digital transformation lies in whether it can help companies use new technologies to scale their business models. Make it easier for businesses to import, maintain, and scale their solutions.

Published by Jun 14, 2022 Source :digiknow

Further reading

You might also be interested in ...

Headline
Trend
How does E-commerce Create the Future of Warehousing?
E-commerce has taken the retail industry by storm and is expected to continue to grow in the coming years. At the same time, consumer spending habits change, as well as changes in the way suppliers and manufacturers respond to this growth. The rise of e-commerce in particular is changing the way warehouses are designed and operated.
Headline
Trend
Why do We Need to Digitize Energy?
The demand for renewable energy is increasing day by day. Facing the instability of wind energy and solar energy, energy digitization can increase the productivity and availability of green electricity, such as using algorithms and blockchain technology to reduce consumption and improve flexibility.
Headline
Trend
What are The Green Power Generation? Understand The Types Of Green Energy Power Generation, Country Evaluation and Related Policies
After the first year of green power in 2020, 2021 will usher in a new peak period of green energy development. So far, in addition to Google, Apple, Amazon and other major technology companies that have adopted nearly 100% of their green energy power generation, many multinational companies have also stepped into the ranks of green energy investment. After all, how does the green energy industry flourish internationally? Follow the information compiled in this article to understand the types of green energy power generation, the application situation in various countries, and take the lead in grasping the trend of green energy power generation!
Headline
Trend
Packaging Industry Trends - What is Flexible Packaging and Why is It Important?
Why is flexible packaging and will continue to be a premium packaging solution?
Headline
Trend
Understand 5G at Once!
5G is the fifth generation of mobile data technology. Designed to increase speed, reduce latency, and improve wireless service resiliency. In theory, 5G technology can reach speeds as fast as 20 Gbps, while 4G's top speed is only 1 Gbps. 5G also has less latency, improving the performance of business applications and other digital experiences such as online gaming, video conferencing, and self-driving car performance.
Headline
Trend
What is Deep Learning?
Deep learning is a way of machine learning, by building a network, setting goals, and learning. Deep learning is not a panacea for artificial intelligence, it can only be designed for specific needs.
Headline
Trend
How do Convolutional Neural Networks Work?
Breakthroughs in deep learning in recent years have come from the development of Convolutional Neural Networks (CNNs or ConvNets). It is the main force in the development of the deep neural network field, and it can even be more accurate than humans in image recognition.
Headline
Trend
What is Cloud Service? Learn About Cloud Computing and Cloud Storage
As the global demand for cloud computing continues to double, cloud computing is not a whim, but a technology and various applications that have slowly developed from decades of information technology. With the rapid progress of the times and changes in the general environment, the public can enjoy cloud services at any time.
Headline
Trend
What is a Quantum Computer? What are the Challenges in the Development of Quantum Computing?
The real power of quantum computers is not the speed of computing, but the ability to process problems in parallel. By harnessing the uncertainty of quantum physics, it could revolutionize medicine, accelerate artificial intelligence, and upend cryptography.
Headline
Trend
What is Tiny AI?
Tiny AI integrates low-power, small-volume NPU, and MCU adapts to various mainstream 3D sensors in the market. And supports three mainstream 3D sensing technologies such as structured light, ToF, and binocular stereo vision, to meet the needs of voice, image, and so on to identify needs.
Headline
Trend
What is a Data Lake?
A data lake is a centralized repository for storing, processing, and securing large volumes of structured, semi-structured, and unstructured data. It can store data in its native format and handle any conversion format regardless of size limitations.
Headline
Trend
An Approach that Combines Mathematical Optimization and Machine Learning
Machine learning (ML) is a type of artificial intelligence (AI) that allows businesses to make sense of large amounts of data and learn something. Through mathematical optimization, it can help to interpret the correctness of data and improve the decision-making basis of machine learning.
Agree