Numerical control machine tool monitoring system and method based on instruction domain data synchronization

Abstract

The invention provides a numerical control machine tool monitoring system and method based on instruction domain data synchronization. The system comprises a numerical control machine tool which supports a numerical control machine tool data acquisition protocol, a camera which is installed inside or outside the numerical control machine tool and connected with a numerical control device of the numerical control machine tool through a communication medium, a data acquisition and synchronization device which is used for acquiring various electric control data in the numerical control machine tool and video data acquired by the camera, synchronizing the various electric control data and the video data through the instruction domain data line number, forming a plurality of data blocks takingthe instruction domain data line number as an index and uploading the data blocks to a cloud server, the cloud server which is used for processing and storing the data uploaded by the data acquisitionand synchronization device, and terminal equipment which is used for acquiring the required monitoring data from the server. The system and the method have the characteristic of high synchronizationof monitoring data, and can assist data analysis and quickly position the machine tool problem.

Description

technical field [0001] The invention relates to the technical field of numerical control, in particular to a monitoring system and method for a numerical control machine tool based on command domain data synchronization. Background technique [0002] With the popularization of automated production lines, there are fewer and fewer production links for manual monitoring, and the resulting demand for unmanned monitoring is getting higher and higher. The purpose of monitoring is to keep the monitoring records of the machine tool. When there is a problem in production, the root cause of the problem can be found out and the problem can be repaired through the backtracking record to ensure the normal production. Typical production issues include: [0003] 1. Human factors. Production problems caused by improper operation of workers and man-made sabotage. For example, improper clamping by workers leads to deviations in processing dimensions. [0004] 2. External failure of the m...

AI Technical Summary

Problems solved by technology

Production problems caused by improper operation of workers and man-made sabotage

For example, improper clamping of workers leads to deviations in processing dimensions

[0004] 2. External failure of the machine tool

For example, the lack of lubricating oil in processing causes the guide rail of the machine tool to wear

[0005] 3. Material problems

Processing problems caused by unqualified quality of tool materials and workpiece blanks

[0006] 4. Internal failure of the machine tool

The internal failure of the machine tool leads to deviations in the processing control of the machine tool, resulting in problems such as unqualified processing and production accidents

[0007] 5. Mixed problems

[0019] 2) If only the method of data monitoring is used, and there is a lack of external image-assisted diagnosis, many faults are difficult to confirm

For example, some abnormal data changes were found by analyzing machine tool data records, and it was found that it was caused by improper operation of workers after observing video surveillance.

If only the data is analyzed, it is difficult to quickly determine the cause and waste human analysis costs

[0020] 3) If video monitoring and data monitoring methods are used at the same time, there is a new problem: the lack of synchronization between the image data of video monitoring and the internal data of the machine tool

However, for the CNC machining industry, the data synchronized according to the time stamp is not clear and vivid enough. This field prefers to see each step (instruction) of the cutting tool, and the corresponding machine tool operation data, that is, the instruction field data

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