Industrial Internet of Things (Indusrial IoT, or IIoT) is the expansion and use of the Internet of Things (IoT) in industrial applications. Industrial IoT focuses on machine-to-machine (M2M) communication, big data, and machine learning (ML) to make industrial operations more efficient and reliable. IIoT covers the entire industrial application, including robotics, medical equipment, and software-defined production processes.
Improving production efficiency is the foundation for the manufacturing industry to gain a firm foothold. The manufacturing industry achieves smart operations by introducing AI applications, automatically identifying abnormalities, or making adjustment suggestions, and assisting companies in achieving more accurate adjustments to machines and upgrading equipment. During the process, the traditional manufacturers are transformed into the smart manufacturers.
Non-woven fabrics have been produced since the early stages of the petrochemical industry. During this time, non-woven fabrics were only used for their softness and bulkiness in packaging, covering, and filling. Due to the rapid development of material science, the application scope of non-woven fabrics has expanded to various fields of industry and commerce, civil engineering, medical treatment, agriculture and environmental engineering. Its existence can be seen everywhere, especially in its very early uses in agriculture.
Micromachining technology is an important support technology for modern high-tech warfare, and is the development foundation and direction of modern high-tech industries, science and technology.
Artificial intelligence has brought in a new generation of robotics technology: Robotics 2.0. The principal challenge is the transformation from original manual programming methods to true autonomous learning. Faced with this challenge for innovation in AI robotics, how can Taiwan's manufacturing industry best seize the opportunity?
In the past, excessive consumption, wanton mining, indiscrete manufacturing, and careless abandonment of wastes, led to the rapid depletion of natural resources. Now, the pursuit of a circular economy, with the goal of zero waste through recycling of resources, is being implemented in an attempt to solve environmental problems.
Artificial Intelligence, Machine Learning, Deep Learning, and Big Data are topics that have been frequently discussed recently. These technologies are used in many fields, including the financial industry, logistics industry, business analysis, unmanned vehicles, computer vision, natural language processing, etc., and have spread in every corner of life.
The capital expenditure for automation in the global industry food and beverage is approximately US$19 billion. This includes 9 billion US dollars in process equipment automation, 7 billion US dollars in packaging and material handling equipment, and the remaining 3 billion US dollars in production line automation.