The Edge Computing Gateway integrates an embedded device with data acquisition, processing and transmission functions. It is located between the device layer consisting of sensors and actuators and the cloud computing platform, and is able to process and respond to data requests from local devices in real time, reducing the pressure on the cloud platform and improving the speed and efficiency of data processing. At the same time, the edge computing gateway can also upload the processed data to the cloud platform to provide support for remote monitoring and analysis.
With the rapid development of Industry 4.0 and intelligent manufacturing, machine tools, as important equipment in the manufacturing industry, have important significance for data acquisition and analysis to improve production efficiency, ensure product quality, and optimise the machining process. Traditional data collection methods have problems such as slow data transmission, poor real-time performance, and limited data processing capacity. In order to solve these problems, the application of gateway di edge computing in the field of machine tool data acquisition has gradually attracted attention. In this paper, we will discuss how to use edge computing gateway for machine tool data acquisition to improve the efficiency and accuracy of data acquisition.
Practice of machine tool data acquisition using edge computing gateway
1. Determination Of Data Acquisition Scheme: According to the type, structure and process requirements of the machine tool, choose a suitable data acquisition scheme. For example, for CNC machine tools, the edge computing gateway can be used to collect information on the running status and processing parameters of the machine tool by connecting to the serial port or the network port of the machine tool.
2. Selection Of Edge Computing Gateway: According to the data collection scheme, select the edge computing gateway with corresponding interface and function. For example, a gateway with protocol conversion functions such as Modbus and OPC UA can be selected to achieve communication with the machine tool.
3. Preparation Of Data Acquisition Software: According to the development documents and API interfaces provided by the edge computing gateway, prepare the data acquisition software. The software should have real-time data acquisition, processing and storage functions, and be able to upload data to the cloud platform or local server as needed.
4. Data Acquisition And Processing: Real-time acquisition of machine tool operation data through the edge computing gateway, and use of built-in algorithms to clean, filter and analyse the data. For example, abnormal vibration, temperature and other parameters of the machine tool can be detected, so that potential faults can be found in time.
5. Data Transmission And Remote Monitoring: The processed data is uploaded to the cloud platform through wired or wireless means to achieve remote monitoring and data analysis. Through the visualisation interface, the running status of the machine tool, processing parameters and other information can be viewed in real time, providing support for decision-making.
Using edge computing gateway for machine tool data acquisition has the following advantages:
Real-time: Edge computing gateway has fast data processing capability and can respond to the request of local equipment in real time to improve the real-time data collection.
Reduce The Pressure On The Cloud Platform: By processing data locally, the pressure on the cloud platform can be reduced and the cost of data transmission can be lowered.
Improve Data Processing Efficiency: Edge computing gateway has built-in efficient algorithms and data processing capabilities, which can improve the efficiency and accuracy of data processing.
The use of edge computing gateways for machine tool data collection is an effective solution that can improve the efficiency and accuracy of data collection. In the future development, with the continuous progress of edge computing technology and the expansion of application fields, it is believed that the edge computing gateway will play a greater role in the field of machine tool data acquisition and promote the further development of intelligent manufacturing.
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