Remote collaborative diagnosis system of numerical-control machine tool on basis of internet of things

Abstract

The invention discloses a remote collaborative diagnosis system of a numerical-control machine tool on the basis of the internet of things. The remote collaborative diagnosis system comprises a source data acquisition device and is provided with GSM (global system for mobile communications), GPRS (general packet radio service) and 3G (the 3rd generation telecommunication) data relay nodes, a system data center, a remote collaborative fault diagnosis expert system and result feedback. The remote collaborative diagnosis system has the advantages that accidents and faults in a different field can be remotely diagnosed, maintenance schemes for fault equipment can be timely formulated according to real-time state signals of the running equipment, fault information and selectable field sound-image signals, and maintenance staff in a different place can directly and remotely adjust and modify data for the fault equipment by the aid of relevant equipment until the faults are removed. When necessary, maintenance engineers in the field can be guided for maintenance or the maintenance engineers in the field and the maintenance staff in the different place can jointly complete a maintenance task by the aid of field multimedia sound-image communication, and accordingly the remote collaborative diagnosis system plays an extremely important role in removing non-electrical faults or faults with signals which cannot be measured by electric sensors.

Description

technical field [0001] The invention relates to a remote diagnosis system of a numerical control machine tool, in particular to a remote cooperative diagnosis system of a numerical control machine tool based on the Internet of Things. Background technique [0002] Fault diagnosis and maintenance of CNC machine tools is a very important part of the process of debugging and using CNC machine tools, and it is one of the factors that currently restrict the normal function of CNC machine tools. During the operation of CNC machine tools, internal parts are subjected to various effects such as force, heat, friction, and wear, and their operating states are constantly changing. Therefore, it is necessary to make timely judgments on the operating state of the equipment during the movement of the equipment and take corresponding decisions. In order to avoid serious consequences caused by failure. Doing so can greatly improve the reliability of equipment operation, thereby improving t...

AI Technical Summary

Problems solved by technology

[0003] However, the fault diagnosis and maintenance of the existing domestic CNC machine tools are basically operated manually. Each equipment needs to be equipped with special maintenance personnel, and the detection time is long and the efficiency is low. Most faults can only be judged by experience, which greatly reduces the Increased operating costs of CNC machine tools