Numerical control machine tool remote real-time cooperation fault diagnosis and maintenance system

Abstract

The invention relates to a numerical control machine tool remote real-time cooperation fault diagnosis and maintenance system. According to the system, a LabVIEW virtual instrument technology, a Node.js background server technology, a streaming media technology and an iOS mobile terminal technology are utilized to establish a remote fault diagnosis system, data collection, transmission and processing are integrated on one shared platform, the work of a fault diagnosis expert gets rid of limitations of spatial positions and conditions, collected data is sent to a remote cloud server in real time through a network, and then the data is stored and distributed through the cloud server. For real-time cooperation, a cooperation exchange platform is set up, and real-time online text exchange andpicture and file sharing between a field engineer and the remote expert are supported. Meanwhile, mobile equipment is utilized to collect fault field pictures, videos and other multimedia data and send the data to the cloud server during field engineering so that the remote expert can view all types of multimedia data in real time. Besides, the system adopts an HTTPS encryption technology, so thatsecure transmission of the data is guaranteed.

Description

technical field [0001] The invention relates to a CNC machine tool maintenance technology, in particular to a remote real-time collaborative fault diagnosis and maintenance system for a CNC machine tool based on cloud service technology. Background technique [0002] In the process of debugging and using CNC machine tools, fault diagnosis is a very important part, and it is one of the main factors that limit the normal operation of CNC machine tools. During the working process of CNC machine tools, they are subjected to various effects such as heat, force, friction, and wear. Their operating states are very complicated, and failures are inevitable. Therefore, it is necessary to make a quick and efficient judgment after a fault occurs, and take corresponding measures to solve the fault to avoid more serious economic losses due to the fault. This can greatly improve the operating reliability of the machine tool equipment, thereby improving the The productivity of the equipmen...

AI Technical Summary

Problems solved by technology

[0003] Although many institutions and researchers have made considerable contributions and researches on the remote diagnosis of CNC machine tools, at this stage, relatively few companies in my country have launched remote diagnosis systems, and the expected results have not been obtained in the application. The reasons for this include: (1) lack of real-time performance: the real-time transmission of a large number of characteristic signal data at the fault site cannot be guaranteed; (2) lack of collaboration: it is difficult for remote diagnostic experts to communicate and collaborate effectively with field engineers in real time (3) Lack of intuition: It is difficult for remote diagnosis experts to judge the cause of machine failure based on machine tool operating data and sensor data, and requires more intuitive media data such as pictures, videos, etc. Auxiliary diagnosis; (4) Lack of security: Due to the openness of the Internet, competitors are likely to use network system loopholes to steal business secrets and bring losses to the enterprise

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