Parameter acquisition method of CNC machine tool processing process for networked real-time monitoring

Abstract

The invention relates to a networked real-time monitoring-oriented method for acquiring process parameters of a CNC machine tool. The method is based on a server to realize networked real-time monitoring of the processing status of multiple CNC machine tools with different control system types and different communication interface modes. And it can complete the real-time collection and recording of process parameters including FANUC, SIEMENS, HEIDENHAIN system machine tools based on the NC program of the specific post-processing format and the program name of the rule, and realizes the automatic transmission, storage and reuse of process parameters in the process. The method has the characteristics of real-time, intuition, completeness and accuracy. Based on the NC machining process of spacecraft products and the standardized NC program format, the real-time monitoring of the equipment status of NC machine tools and the automatic matching of alarm information based on the alarm number are completed. Display and automatic storage, transmission and reuse of process parameters, and based on this, complete the integrated application of the digital workshop information system.

Description

technical field [0001] The invention relates to a method for collecting parameters in the machining process of a numerically controlled machine tool oriented to networked real-time monitoring, and belongs to the technical field of digital manufacturing. Background technique [0002] In today's fierce global competition in the manufacturing industry, how to scientifically arrange production plans and maximize the utilization of manufacturing equipment is becoming more and more important. In addition, the improvement of process technology is often based on the statistical analysis of a large number of primary manufacturing site data in the process database, and the accurate acquisition of these data has always been a bottleneck problem. For a long time, the workshop has lacked an effective monitoring method. It mainly relies on traditional manual methods such as on-site inspections, telephone contact, and manual records to understand the operating conditions of machine tools. ...

AI Technical Summary

Problems solved by technology

[0005] (1) The image acquisition method stores a large amount of collected data, and most of the collected data is surface data, which cannot collect the internal operation information of the controller

[0006] (2) The existing collection methods have poor compatibility, cannot cover all CNC machine tools with different interface types of the control system, and cannot realize comprehensive and standardized management of workshop equipment

[0007] (3) Existing acquisition methods can only judge the running state of the machine tool only on the rotation of the spindle, and the judgment on other states is also relatively limited, and cannot be configured to adapt to different types of machine tool state judgment rules

[0008] (4) The existing acquisition method is based on API to read the alarm information of different machine tools, which is affected by the language environment of the CNC system, API system and operating system, and is prone to irreversible garbled characters

[0009] (5) The existing acquisition method cannot realize the real-time acquisition of the processing status information of the product (product code, program number, tool number, set spindle speed and feed, speed override, feed override and cutting processing time), The completion of the product processing plan cannot be evaluated in real time based on the collected data, and the integration between the collection system and the digital workshop information system is difficult

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