Data acquisition system for detecting cutter of numerically-controlled machine tool

Abstract

The invention discloses a data acquisition system for detecting a cutter of a numerically-controlled machine tool. The data acquisition system comprises a current signal collector, a vibration signalcollector, a temperature signal collector, a humidity signal collector, a data acquisition device, a data processing module, a background monitoring module, a big data analysis module and a data memory. The data acquisition system acquires the data of the cutter of the numerically-controlled machine tool online and in real time mainly based on the current signal collector and supplemented by the vibration signal collector, the temperature signal collector and the humidity signal collector. According to the data acquisition system for detecting the cutter of the numerically-controlled machine tool, relevant signals in the machining process of the machine tool can be acquired, real-time and online detection of the cutter of the numerically-controlled machine tool can be realized, the relationship between the detection signal and tool failure and tool life is modeled, the detection efficiency is improved, and the detection data is presented in an intuitive form.

Description

technical field [0001] The invention belongs to the technical field of tool detection, and in particular relates to a data acquisition system for tool detection of a numerically controlled machine tool. Background technique [0002] In the process of CNC machine tool processing in large-scale manufacturing enterprises, cutting tools often break and collapse due to changes in force and load; if the damaged tool is not replaced in time, the subsequent products will be directly scrapped. Cause greater economic losses to the enterprise. [0003] Existing tool detection of CNC machine tools needs to remove the tool regularly for testing, which makes the operation complicated, delays production time, and causes losses for the enterprise; and because the tool cannot realize real-time detection during operation, if the tool is damaged, if it is not Timely replacement will lead to the direct scrapping of subsequent products, causing greater economic losses to the enterprise. Conte...

AI Technical Summary

Problems solved by technology

[0002] In the process of CNC machine tool processing in large-scale manufacturing enterprises, cutting tools often break and collapse due to changes in force and load; if the damaged tool is not replaced in time, the subsequent products will be directly scrapped. cause large economic losses to the enterprise

[0003] Existing tool detection of CNC machine tools needs to remove the tool regularly for testing, which makes the operation complicated, delays production time, and causes losses for the enterprise; and because the tool cannot realize real-time detection during operation, if the tool is damaged, if it is not Timely replacement will lead to the direct scrapping of subsequent products, causing greater economic losses to the enterprise

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