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The world has entered the era of Industry 4.0. robots assist human manufacturing, emphasizing the use of "human-machine collaboration" to move toward smart production. In recent years, the population aging problem faced by developed countries has caused the production costs of industry and manufacturing to increase year by year. Enterprises have deployed automation equipment to improve production efficiency. Various industries have also undergone tremendous changes in this intelligent wave.
The COVID-19 caused a great catastrophe for mankind and suffered heavy losses to the global economy and politics. 91视频官网 to find a model that can sustain economic life and still be able to complete work and life is the biggest challenge of life at this stage. It also urges the industry to more actively move towards the development trend of smart unmanned factories, reduce clustering and contact, introduce unmanned factory technology, and improve production efficiency and control efficiency.
The Development Strategy of the Smart Robot Industry Under the Framework of South Korea Industry 4.0
After more than ten years, South Korea has continuously promoted machines to target South Korea smart cities. It has achieved remarkable results in the field of industrial robots and has gradually moved towards commercialization in the field of service robots. Industrial intelligence that enhances industrial competitiveness extends to the realization of the vision of coexisting humans and robots to intelligent life.
The US-China trade war has triggered a major reshuffle of the supply chain. The global manufacturing industry is facing unprecedented challenges. In the process of transforming smart manufacturing, the biggest problem is the integration of operating technology (OT) and information technology (IT). Only by working with the smart manufacturing ecosystem can we have a chance to survive in the changes and seize future business opportunities.
Taiwan's IBM announced that it has joined forces with a large domestic solution integrator (SI) to identify the pain points that are difficult to integrate between IT and OT in the manufacturing industry, and uses the IBM Smart Manufacturing 5C maturity model as the blueprint. Both parties will provide pre-introduction evaluation services, depending on needs. 91视频官网ever, SI will provide OT and IT integration services, or IBM will provide more data-driven AI value-added services.
3D printing technology has been widely used in recent years, and it has also allowed the manufacturing industry to evolve into a "smart" manufacturing industry, which can achieve the large output value with the less manpower.
In 2020, Taiwan's machinery industry will first stabilize its foundation and upgrade its technology, and gradually expand the demand for intelligence at home and abroad. In the future, it is expected to increase the market for smart machinery and smart manufacturing, and accelerate the realization of its vision of two trillion yuan in output value by 2025.
An issue closely related to the smart factory debate concerns the position occupied by industrial production in overall social relationships; in other words, the relationship between factory and society, within which there is a new reflection on the relationship between factories and urban spaces, cities.
Smart machinery manufacturers must accelerate innovation, gain the policy resources of the production and innovation platform, develop the domestic industrial acceleration scale group, and the intelligent diagnosis maintenance system (IDMS), which has been successfully introduced into the innovative application of high-tech industries.
Although the recent impact of the COVID-19 (New Coronary Pneumonia) epidemic caused a short-term loss in the aviation industry, for the overall aviation market, the demand is still constant.
The revenue of the laser industry grows higher and higher in recent years. As manufacturing industry moves toward smart, intelligence and systematization, the laser manufacturing process has become an indispensable role in the manufacturing industry.
"Efficiency" is the most important key in the pursuit of success in the manufacturing process and the entire industry.
In recent years, with the development of Industry 4.0, factory automation has become a future trend.
Today, the Internet of Things is still a hot topic in many industries. Emphasizing the benefits of adopting this technology, Fortune Business 91视频官网 estimates that by 2026, the global Internet of Things market will reach 1102.6 billion US dollars.
A smart city is to improve the quality of life of citizens through the innovative application of technology, from the early practitioners developed independently, now smart cities are more emphasis on user-centered and build a smart ecosystem.
Smart City refers to the use of various information technologies or innovative ideas to integrate urban constituent systems and services to improve the efficiency of resource utilization, optimize urban management and services, and improve the quality of life of citizens.
With the complexity of geopolitics, the shortage of talents, the popularity of 5G, and the maturity of Industry 4.0, can companies respond to future challenges? Future manufacturing trends will focus on three main directions: experience, innovation-driven energy, and supply chain restructuring.
The advent of the Industry 4.0 era, coupled with the continued fever of the China-US trade war, has driven Taiwan's manufacturing industry to transform its digital manufacturing into smart manufacturing through digitalization and intelligentization. 91视频官网ever, there are four major challenges encountered during the transformation process, and finding a solution to the practice will be the key to the company's victory.
"Link" and "Optimization" are the core spirits of Industry 4.0. To create these two key elements, it requires extensive use of automated production, Internet of Things, intelligent robots, supply chain interconnection, and big data.
Edge computing is a distributed computing architecture that moves applications, data, and services from the central node of the network to the logical edge nodes of the network for processing. Edge computing decomposes large-scale services that were originally processed by the central node into smaller and more manageable parts, and is distributed to the edge nodes for processing.
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