A predictive maintenance system and method for intelligent manufacturing equipment

Abstract

The present invention provides a predictive maintenance system and method for intelligent manufacturing equipment. The predictive maintenance system includes a first-level predictive maintenance module, a second-level predictive maintenance module, and a maintenance decision-making module. The first-level predictive maintenance module includes An acquisition module, a human-computer interaction module, a calculation module and a storage module, the second-level predictive maintenance module includes a communication module, a setting module and a prediction module, and the maintenance decision-making module receives the first-level predictive maintenance module calculated by the first-level predictive maintenance module The remaining life and the second-level remaining life predicted by the second-level predictive maintenance module, and determine the predictive maintenance strategy of the intelligent manufacturing equipment according to the first-level remaining life and the second-level remaining life. The invention can provide technical support for the active operation and maintenance of intelligent manufacturing equipment, reduce unexpected downtime, shorten downtime, reduce operation and maintenance costs, and improve operation and maintenance efficiency.

Description

technical field [0001] The invention belongs to the technical field of intelligent manufacturing, and in particular relates to a predictive maintenance system and method for intelligent manufacturing equipment. Background technique [0002] In recent years, jobs with high-risk, high-intensity, and repetitive characteristics have gradually carried out "machine substitution". status is also becoming more and more important. However, equipment failures cannot be eliminated, and intelligent manufacturing equipment is prone to degradation and damage under long-term and repetitive work. Due to the unmanned and automated scenarios of intelligent manufacturing, maintenance activities must be considered for intelligent manufacturing equipment and systems to maximize the efficiency of intelligent manufacturing. [0003] The current common practice is to repair after the quality of processed products has problems (ie, the rate of defective products has increased) or even after the eq...

AI Technical Summary

Problems solved by technology

[0003] The current common practice is to repair after the quality of processed products has problems (that is, the rate of defective products has increased) or even after the equipment has been shut down, that is, after-the-fact repairs (after-failure repairs), resulting in unexpected shutdowns

Or use regular maintenance, that is, replace it at the specified time, resulting in the replacement of many parts that can continue to be used in advance, resulting in waste, and many frequent uses that cannot last to the specified cycle, resulting in unexpected failures

When an unexpected failure occurs, the equipment user needs to notify the manufacturer or integrator to diagnose and repair the failure site of the enterprise, which wastes the time and cost of the equipment and even the entire automated production line, and does not meet the requirements of modern manufacturing.

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