Robot speed reducer fault detection system based on big data analysis

Abstract

The invention discloses a robot speed reducer fault detection system based on big data analysis. The robot speed reducer fault detection system comprises a speed reducer, a PC terminal, a detection terminal, a display terminal, an installation terminal, an identification terminal, a storage terminal and a processing terminal. The speed reducer is connected with the PC terminal. The speed reducer is connected with the detection terminal through the installation terminal, the speed reducer is linearly connected with the display terminal, a rotating shaft is arranged on one side of the speed reducer, and the identification terminal is arranged on the side wall of the rotating shaft; the PC terminal is linearly connected with the detection terminal, the PC terminal is linearly connected with the display terminal, the PC terminal is linearly connected with the storage terminal, and the PC terminal is connected with the processing terminal; the detection terminal and the display terminal arearranged, the functionality of the speed reducer is improved, the rotating speed of the rotating shaft of the speed reducer is effectively calculated through detection and calculation of the detection terminal on the rotating shaft of the speed reducer, it is ensured that the rotating shaft is in a normal running state, and when the rotating shaft of the speed reducer is in an improper rotating speed state, alarm processing can be conducted through the detection terminal.

Description

technical field [0001] The invention belongs to the technical field of detection systems, and in particular relates to a fault detection system for a robot reducer based on big data analysis. Background technique [0002] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It is a massive, high-growth rate that requires a new processing model to have stronger decision-making power, insight and discovery, and process optimization capabilities. And diversified information assets, with the development of science and technology, the field of big data has also developed rapidly. The existing big data can be analyzed by intelligent robots to make limit value analysis, making big data analysis, screening and observation more convenient , and based on the big data analysis of the reducer, it is not only convenient to use, but also can further reduce potential safety hazards and ensure...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a robot reducer fault detection system based on big data analysis, so as to solve the problems in the use of the existing reducer proposed in the above-mentioned background technology, because the reducer needs to decelerate the rotating object , so it is necessary to ensure that the reducer is in normal operation, otherwise it will cause the rotating object to break and collide due to the high speed, resulting in a greater safety hazard, and even stop the entire working system, resulting in greater economic losses. The existing reducer does not have a fault detection system, which cannot detect the speed of the reducer, and cannot close and stop the reducer in time.

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