What are the core hardware commonly used in smart manufacturing for smart factories? What is its fun

In the application field, intelligent hardware is mainly divided into production intelligent hardware, warehousing and logistics intelligent hardware, and detection intelligent hardware. From the perspective of intelligent hardware, it can be divided into intelligent components, intelligent tools, intelligent equipment, and intelligent systems.

Common smart components include sensors, processors, and wireless modules (such as RFID).

The main function of sensors is to perceive the world, which is also the first step towards intelligence. Ordinary objects do not have the ability to perceive the world and must rely on sensors to perceive the world. A mold is essentially a piece of cold iron. It cannot speak or tell people where it is sick or about to get sick. But after installing sensors, the cold mold will provide feedback on the information you want, such as mold pressure, mold clearance, mold temperature, mold wear, etc. In the process of upgrading and transforming enterprise intelligence, installing sensors for smart devices is an inevitable choice. Other smart devices may also have incomplete data and require additional sensors.

The main function of a processor is to perform data processing. In the era of intelligence, GPUs and TPUs will be widely used in industrial equipment. At present, artificial intelligence technology has begun to deeply integrate with the manufacturing industry.

For example, in terms of detection, artificial intelligence visual inspection can not only improve detection speed, but also enhance detection accuracy. The object of visual inspection processing is images or videos, which greatly increases the performance requirements of processors, hence the emergence of GPUs. Artificial intelligence vision technology can not only be applied to detection, but also to fields such as security, the Internet of Things, and process monitoring. In summary, the amount of data that enterprises need to handle has increased sharply. In addition, machine deep learning has given rise to the emergence of TPU.

In order for machines to think like human brains, they must have a "brain" based on neural network algorithms. The processor of this' brain 'is TPU, so future smart devices will mostly be based on TPU or TPU like processing. equipment In the intelligent era, due to the increase of data processing, distributed data processing is also an inevitable trend, which is why edge computing intelligent terminals are born. By installing GPU or TPU in the edge computing intelligent terminal, the information can be processed on the device side and then transferred to the database, greatly improving the efficiency of data processing and reducing the pressure on data storage.

In the traditional production process, raw materials are extracted from the warehouse, from the first process to the last process, and finally to the finished product warehouse. For enterprises with poor information technology, no one knows the location of a certain material throughout the entire process. What state is it in. When it is necessary to confirm the status information of materials, the dispatcher needs to go to the site for confirmation. The entire process is very opaque, like an "information black box", and when materials are equipped with RFID, they are like having an ID card and can send information to the outside world in real time. As long as an RFID information receiving device is added, the real-time status of all materials can be monitored, making the entire material flow transparent.