Method and system for monitoring machining tool condition

Abstract

The invention discloses a machining tool state monitoring method and system. The method includes: collecting a small amount of current data in real time after the parameters of the machining system change and storing the collected data in a target domain data set; calculating the target domain data set The distribution difference of each feature parameter between the source domain data set and the target domain data set; determine whether the distribution difference of each feature parameter between the target domain data set and the source domain data set is smaller than the distribution difference threshold of the feature parameter; Learn to obtain the target domain migration model, and use the target domain migration model as the current monitoring model; otherwise, continue to collect the current data and store the collected data in the target domain data set, and after the data volume of the target domain data set reaches the set requirements , and use the data in the target domain data set to train to obtain the current monitoring model; use the current monitoring model to monitor the tool status online. By using the present invention, the adaptability of the monitoring system can be improved quickly and efficiently.

Description

technical field [0001] The invention relates to the field of machining tools, in particular to a method and system for monitoring the state of machining tools. Background technique [0002] A tool is a tool used for cutting in mechanical manufacturing, also known as a cutting tool. Tool status is a key factor affecting the quality and efficiency of precision machining of parts. An accurate and reliable online monitoring system for tool status can save users a lot of material and labor costs. In order to ensure that the highly automated processing system can carry out normal production continuously and efficiently, and avoid the reduction of the accuracy of the machined parts due to factors such as wear and damage of the cutting tools, and even damage to the machine tool equipment, it is necessary to effectively monitor the tool status during the processing process. [0003] In the prior art, an offline-trained monitoring model of the machining tool state monitoring system i...

AI Technical Summary

Problems solved by technology

When the system parameters in the application scenario change, the distribution of training data will also change accordingly, and the existing monitoring model cannot meet the requirements. At this time, it is necessary to collect data in the new scenario to retrain the monitoring model

However, re-collecting enough new data not only means that the monitoring system cannot be used during this period, but users also need additional manpower to cooperate with data label recording and inspection in addition to normal production activities.

It can be seen that this method increases the burden of using the system for users and reduces the flexibility of adapting the tool status monitoring system

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