Trend

Edge computing technology is an extension of cloud computing. It can improve the analysis technology of cloud data. It is a concept of nearby computing. Its technology is gradually applied to various industries so that each industry can break through the existing restrictions and increase its productivity and efficiency.

What is the development and application prospect of edge computing? When cloud computing is not enough to process and analyze data generated or to be generated by IoT devices, connected cars and other digital platforms in real time, edge computing will come in handy. Edge computing technology has the potential to be applied in many industries and plays a huge role.

Industry 4.0 is well underway and already having a big impact on manufacturing throughout the world. Technologies such as IIoT, big data and analytics, digital twin/thread, and the smart connected factory and supply chain are all elements of Industry 4.0 that are becoming ubiquitous in almost every manufacturing company.

5G is regarded as an important promoter of Industry 4.0. 5G's high network speed and low power consumption enable each sensor of the future unmanned factory to be connected to the cloud, further extracting data for analysis, and driving artificial intelligence.

5G is the engine of Industry 4.0, reshaping the industry! How should Taiwan's manufacturing industry seize the opportunity to upgrade its manufacturing industry?

Driven by the German government's national policy, Industry 4.0 has become the most high-profile manufacturing issue in the world. Therefore, countries have successively launched corresponding smart manufacturing policies. With the help of 5G, the world is facing an uncompleted and perfect 5G environment to respond to smart manufacturing Yes, and Taiwan still has many opportunities and challenges in 5G smart manufacturing. Taiwan ’s 5G commercialization is imminent, and it is still expected that the government, telecommunications operators, and automation industry will work together to accelerate the full implementation of 5G.

Industrial robots can more quickly and handle large-scale mass production work. So far, nearly half of the industrial robots in the world are used by automobile factories. Let's understand the advantages and disadvantages and applications of industrial robots.

Industrial robots use a large number of sensors to achieve good operation and control in industrial automation production processes. For example, collaborative robots integrate torque sensors and cameras to ensure the best perspective and safety. What sensors are integrated with industrial robots?

How collaborative robots join production has become a link in the manufacturing chain, improving production efficiency. The small-scale collaborative industrial robot can be operated in a narrower place to solve the problem of working space limitation.

An important issue in the development of smart manufacturing is human-computer collaboration, and true human-computer collaboration does not only mean cooperation and coexistence. As the frequency of man-machine operations working together in the same workspace is getting higher and higher, many sensors are also appearing to assist in monitoring and preventive control.