Abstract
Intelligent manufacturing as the development direction of the new generation manufacturing system has become a hot research topic. Computer numerical control (CNC) machine tools are the core manufacturing equipment in discrete manufacturing enterprises, collecting and monitoring the data is an important part of intelligent manufacturing workshops. It has a great significance to improve the production efficiency of enterprises and eliminate information islands. The purpose of this article is to solve the problems of data acquisition and monitoring of CNC machine tools in the manufacturing workshop of enterprises. This article uses FOCAS data acquisition method to research and develop the data acquisition and monitoring system of CNC machine tools in intelligent manufacturing workshop. The research results show that the equipment information model based on MTConnect protocol and FOCAS can solve the data acquisition and storage functions of CNC machine tools well. Using the object-oriented Petri net model, it can solve various uncertain factors in numerical control (NC) machining tasks and realize the monitoring function of CNC machining tasks in the workshop. Based on the NC program analysis, the calculation method of machining time in the NC program can determine the preventive maintenance cycle of the machine based on the machine fault information. Based on VS2013 development environment, Qt application framework and SQL Server 2012 database, the numerical control machine tool data acquisition and monitoring prototype system was developed, and the system was verified in the workshop to prove the effectiveness of the system.
Highlights
As the pillar industry of China’s national economy, manufacturing is the basis for enhancing national competitiveness and raising the national economy
The numerical control (NC) machining tasks are divided into three levels: task layer, process layer and step layer: 1. Task layer: A Computer numerical control (CNC) machining task is divided into several process executions according to the different resources realized in each part of the task
Maintenance, measurement and other tasks are collectively referred to as a process in a task, so a CNC machining task can be represented as a sequence of several processes to complete; 2
Summary
As the pillar industry of China’s national economy, manufacturing is the basis for enhancing national competitiveness and raising the national economy. It has always been highly valued by the state. Cloud-based systems can provide massive storage resources and lowcost computing, as well as the flexibility to customize operating environments for complex industrial applications.[1] Compared with traditional information systems, the available computing power is increasingly entering the technical system. The traditional CNC machining monitoring system has limited data characteristics, low adaptability, and low transmission efficiency, making it difficult to implement intelligent online evaluation.[2]
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