Under the influence of the concept of Industry 4.0, the manufacturing industry is transforming to digitalization. For example, if all kinds of data in CNC machining process can be fully collected and analyzed systematically, and corresponding measures can be taken according to the analysis, the efficiency of CNC machining can be improved.
According to the survey data of the Swedish Engineering Industry Association, only 59% of manufacturers use digital technology to improve efficiency, but in fact, data is very helpful to improve efficiency. For example, CNC processing will produce a large amount of industrial waste, but many of them can be avoided.
Production facilities, regardless of their size, complexity or age, produce a large amount of data every day. These data include equipment performance and product specific parameters, which can be collected by installing sensors on the equipment. After analyzing these data, take corresponding optimization measures, such as simplifying production and logistics processes, improving tool path, etc. The accumulation of small optimizations of individual processes will have a huge impact on operational efficiency.
Data can also find energy consumption problems. Through data, the energy consumption of each processing equipment can be monitored. When the energy consumption of the equipment fluctuates significantly, the actual situation can be analyzed to find the cause and take measures.
Continuous real-time analysis of data can also help simplify machine maintenance. Data analysis can predict and give early warning before problems occur. Once the machine has problems, the parts processed at that time are likely to be scrapped, resulting in material waste.
Therefore, if the processing process data can be collected in real time, and these data can be analyzed and applied, the operation efficiency of the equipment can be effectively improved.
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