Applications

Applications Mechanical

Mechanical

For the manufacturing industry, there are many problems with the ever-changing cutting process. Among them, tool life is an important factor affecting product quality in the process. Through the Internet of Things and sensing applications, we endow the tool handle with tactile sensory ability, so we can predict tool life and optimize the process to achieve the purpose of reducing costs and reducing workpiece waste.

Application areas

Introduction

Related links

Application areas

Machine Perception

Using Sensors to Open the Extended Foundation of Wisdom - Haptics

Allow the machine to convert raw data into higher-level information, and then have a better performance in grasping and manipulating objects. Using tactile sensors to simulate biological skin receptors, it can receive mechanical stimulation. The signal is continuously learned through the machine, and finally the event represented by each signal is completely identified.

5G Edge Computing

IoT wireless and independent computing

5G provides high network speed and can transmit a huge amount of information, whether it is AIoT high-definition video or AR, etc., will benefit from 5G. The low-latency transmission allows the system to have sufficient time to transmit the information to the cloud, and process it. After processing and analysis, the decision is sent back. In addition, 5G can reduce the loss rate and error rate of packets, thereby improving the stability and avoiding problems in the production line due to the network, resulting in losses in the process.

Introduction

Difficulties in Cutting

At present, traditional production is mostly semi-automated production, but most of the factory, quality management, or data collation is still done manually. Therefore, a large number of laborers need to be hired to undertake these trivial tasks. In recent years, products have also begun to be mass-produced and customized. The process and design must be changed or adjusted from time to time, resulting in operating costs increasing.

Not only will there be problems in management, but also problems such as tool breakage, collision, quality, and even unpredictable changes during cutting which will cause damage to the machine or affect the quality of the workpiece, and ultimately fail to deliver, adding a lot of unnecessary costs and greatly reducing the customer's trust in the company.

How to effectively improve or solve problems?

To improve the above problems, the collected data must be highly effective, and also need to be adjusted according to different machines in the production line. By placing sensors at the front end, adapting to a variety of harsh environments, and then collecting data to make effective analysis, no longer just rely on the experience of the master or quality control personnel, but allow the most real-time data to monitor the processing status, optimize the process and calculate the efficiency, clearly trace back the quality of the equipment, and even reach 24 Hours of non-stop production not only reduces labor costs but also improves competitiveness and product quality. The most important thing is to allow people to focus on other more valuable tasks, bringing greater benefits to the business.

Related Information