A debugging method for automation equipment based on cloud platform

Abstract

The invention relates to a remote communication debugging technology and a technology optimization method and especially relates to a fuzzy self-optimization debugging method of automation equipment based on a cloud platform. In the invention, through an Internet remote communication technology, information interaction among a cloud server, the automation equipment and a mobile terminal is realized. The mobile terminal comprises a debugging assistant, on-line observer, a fault diagnosis tool, a technology development record and other independent modules. The mobile terminal applies for and controls the automation equipment, remotely observes a double visual sense system and an operation parameter of the automation equipment, and realizes on-line and offline remote debugging. The automation equipment selectively stores a technological parameter, a processing result and other data in a cloud server and combines data stored by a same type of equipment in a public data area of the cloud server so as to realize a technological parameter self-optimization method based on a fuzzy mathematics theory. In the invention, purposes of remotely and reliably debugging the automation equipment and carrying out fuzzy self-optimization technology parameter are realized.

Description

technical field [0001] The invention relates to a remote communication automatic production equipment debugging technology and a process optimization method, in particular to a cloud platform-based automatic equipment debugging method. Background technique [0002] At present, for the proofing of laser processing and other equipment, the commonly used method is that the proofing demander hand over the sample to the equipment provider, and the equipment provider replies to the proofing demander the processing quality and effect of the proofed product and the video recorded during proofing. . It is difficult for the proofing demand side to obtain the improvement process of proofing parameters and effects, and it is unable to guide the equipment provider to make proofing in real time according to its own requirements. As a result, the proofing efficiency is low, and a large amount of proofing data is lost. [0003] In addition, after the equipment arrives at the site of use, ...

AI Technical Summary

Problems solved by technology

And when adjusting the parameters, it is necessary to suspend the specified process, resulting in a decrease in the efficiency of the production line

These have greatly increased the use and maintenance costs of the equipment; even if the training of the technical personnel of the manufacturer is completed, the flow of personnel will cause the process of the equipment to be used without inheritance, and have to require retraining, resulting in unnecessary time and economic loss. waste

In addition, for new processed products, professionals can only estimate the approximate processing parameters, and then conduct a lot of exploration to get the optimal result, and it is impossible to directly conduct quantitative analysis on new products

[0004] In the traditional process debugging, it is more common for the operator to hold a wired teaching box connected to the host, observe the equipment and adjust the process, but the wired teaching box is limited by the cable, and it is not convenient to use in practice.

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