Numerical control machine tool cutter state monitoring and control system and method

Abstract

The invention discloses a numerical control machine tool cutter state monitoring and control system and control method. The control method is characterized in that abnormal vibration signals in the cutter machining process are collected in real time; state pre-judgment is carried out on an abnormal condition by using a cutter state pre-judgment model, and a time point when a cutter is abnormal isdetermined; and after the state is pre-judged and under the condition of not influencing the cutter machining continuity, cutter image acquisition is completed, so that accurate judgment on the abnormal state of the cutter is realized. The system is divided into state pre-judgment and accurate judgment of the cutter in terms of cutter state judgment, and the system occupies short equipment normaloperation time in the working process, so that the working efficiency of a machine tool is effectively improved; and the cutter state pre-judgment in the system is based on the machine learning theoryprinciple, and the accurate judgment of the cutter state is based on the image comparison and analysis processing method.

Description

technical field [0001] The invention belongs to the field of state monitoring of numerical control equipment, and in particular relates to a state monitoring and control system and method of a numerical control machine tool tool. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] As the basic equipment of the manufacturing and processing industry, machine tools are of great significance to monitor their condition. In the CNC machining process, the guarantee of product quality and the safety of the machining process are inseparable from the real-time monitoring of the tools of the CNC equipment. The status monitoring is an important part of the monitoring of the CNC equipment. Real-time monitoring and effective control measures will have varying degrees of impact on the continuity of the processing process and cause immeasurable losses to th...

AI Technical Summary

Problems solved by technology

However, due to the ever-changing manufacturing process, the selected tools are also different, so the monitoring system of the equipment itself has low adaptability and accuracy to tool monitoring.

[0006] The inventor found in the research that the existing tool detection system uses the detection of cutting force as the basis for state judgment, which makes the overall resolution of the system low, and the factors that cause the change of cutting force during the machining process are very complicated, so the system is easy to detect the cutting force. The state makes a misjudgment, which affects the normal processing of the machine tool

[0007] There are also tool detection systems that need to add different types of sensors to the system. The developed system needs to fuse multiple sensors, which reduces the stability of the system's working process.

At the same time, since the installation of the sensor needs to be close to the tool and its nearby connectors, the sensor and the system processor need to be connected for data transmission, which largely interferes with the normal processing of the machine tool and hinders the application of this tool state monitoring method in actual production.

[0008] There are also tool detection methods that can effectively monitor the status of abnormal tools. However, as enterprises continue to move forward from traditional manufacturing to intelligent manufacturing, the accuracy requirements for tool status monitoring are getting higher and higher, and real-time performance must also meet production requirements. Therefore, the effective monitoring of the abnormal state of the tool alone no longer meets the technical requirements for the transformation of the enterprise's automated production line to the intelligent production line. Therefore, the online state monitoring of the tool has higher precision and better real-time technical requirements.

[0009] In addition, in the actual machining process, the speed of tool rotation varies widely, and there are factors such as cutting lubrication methods in the machining process that change, so that the existing device cannot monitor the tool state very well under certain working conditions. Function

[0010] The detection rhythm of the machine tool tool in-position detection system of the machine vision in the prior art cannot be autonomous, or the setting of the detection time node is performed manually, or the automatic detection rhythm is set according to past experience. In this aspect of automatic detection Relatively lack of intelligence

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