5G real-time dynamic fault processing system based on multidimensional sensor

Abstract

The invention discloses a 5G real-time dynamic fault processing system based on a multidimensional sensor. The 5G real-time dynamic fault processing system comprises a data acquisition module, a database module, a numerical algorithm module and an event trigger analysis module. The data acquisition module is connected to the database module, and the database module is connected with the event trigger analysis module through the numerical algorithm module; the database module, the numerical algorithm module and the event trigger analysis module are connected to a remote control terminal through5G data information; technicians remotely monitor a machine in real time through 5G high-speed transmission, solve and analyze real-time data, analyze event results and event causes presented in theevent trigger analysis module according to occurred abnormal events, and adjust the machine in a targeted manner through the 5G high-speed transmission. The system has the characteristics of the fusion of various information, real-time dynamic association and expression, and high-speed real-time dynamic remote control of 5G.

Description

technical field [0001] The present invention relates to a 5G real-time dynamic fault processing system based on a multi-dimensional sensor, especially a 5G real-time dynamic fault processing system based on a multi-dimensional sensor that has a variety of information for fusion, real-time dynamic association and expression, and utilizes 5G high-speed real-time dynamic remote control processing system. Background technique [0002] Intelligent manufacturing has increasingly become a major trend and core content of industrial development. With the improvement of productivity, industrial equipment is developing rapidly in the direction of large-scale, centralized, automated, and precise. Its structure and working environment are becoming more and more complex. Once Equipment failure often leads to serious economic losses and even casualties. Traditional equipment status monitoring and fault diagnosis technology can no longer meet the current industrial needs. The development o...

AI Technical Summary

Problems solved by technology

[0002] Intelligent manufacturing has increasingly become a major trend and core content of industrial development. With the improvement of productivity, industrial equipment is developing rapidly in the direction of large-scale, centralized, automated, and precise. Its structure and working environment are becoming more and more complex. Once Failure of equipment often leads to serious economic losses and even casualties

Traditional equipment status monitoring and fault diagnosis technology can no longer meet the current industrial needs. The development of industrial equipment data analysis and comprehensive management and control system is very reasonable for understanding and mastering the working status of equipment during use, and timely discovering faults and their causes. It is of great significance to predict the development trend of the state and comprehensively control it to ensure the efficient, safe and reliable operation of the system, which can provide strong support for production management and real-time decision-making

Images