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Method and system for monitoring working condition of injection molding machine during plastic injection molding process

A technology of injection molding machine and working conditions, which is applied in the field of working condition monitoring, can solve the problems that it is difficult to ensure the controllability of monitoring the working conditions of injection molding machines, and achieve the effect of improving controllability and overcoming overfitting

Inactive Publication Date: 2019-04-19
武汉市衡德实业有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the technical problem that it is difficult to ensure the controllability of monitoring the working condition of the injection molding machine in the plastic injection molding process in the prior art, and provides a method and system for monitoring the working condition of the injection molding machine in the plastic injection molding process

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  • Method and system for monitoring working condition of injection molding machine during plastic injection molding process
  • Method and system for monitoring working condition of injection molding machine during plastic injection molding process
  • Method and system for monitoring working condition of injection molding machine during plastic injection molding process

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Embodiment 1

[0023] Such as figure 1 As shown, the embodiment of the present invention provides a method for monitoring the working condition of the injection molding machine in the plastic injection molding process. The method is applied to a server and the plastic is a polymer plastic as an example. The method includes the following steps:

[0024] Step 1, receiving the injection molding machine working condition data set, which contains multi-dimensional working condition data collected when the injection molding machine injects plastic;

[0025] Step 2, generate a graph based on multi-dimensional working condition data, and generate a sample set based on multiple curve parameters in the graph;

[0026] Step 3, use the machine learning model to learn and train the sample set, and obtain the training result;

[0027] Step 4, monitor whether the working condition of the injection molding machine is abnormal according to the training result.

[0028] The sensor installed on the injection...

Embodiment 2

[0055] Such as Figure 5 As shown, the embodiment of the present invention provides a system for monitoring the working condition of the injection molding machine during the plastic injection molding process. The system includes a data set receiving module, a sample set generating module, a machine training module and an abnormality monitoring module.

[0056] The data set receiving module is used to receive the working condition data set of the injection molding machine. The working condition data set of the injection molding machine contains multi-dimensional working condition data collected when the injection molding machine injects plastic.

[0057] A sample set generation module, configured to generate a graph based on multi-dimensional working condition data, and generate a sample set based on multiple curve parameters in the graph;

[0058] The machine training module is used to use the machine learning model to learn and train the sample set to obtain the training resu...

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Abstract

The invention relates to a method and system for monitoring the working condition of an injection molding machine during the plastic injection molding process. The method comprises the steps that an injection molding machine working condition data set is received; the injection molding machine working condition data set comprises multi-dimension working condition data collected during plastic injection molding by the injection molding machine; on the basis of the multi-dimension working condition data, a curve graph is generated, and on the basis of multiple curve parameters in the curve graph, a sample set is generated; a machine learning model is used for carrying out learning training on the sample set, and a training result is obtained; according to the training result, whether the working condition of the injection molding machine is in the abnormal state or not can be monitored; through the curve graph, the multi-dimension working condition data are converted into the curve parameters, the dimensions of the multi-dimension working condition data are reduced, when the machine learning model is used for carrying out learning training on the curve parameters, the machine learning model overfitting can be effectively overcome, and the controllability of monitoring of the working condition of the injection molding machine in the plastic injection molding process can be improved.

Description

technical field [0001] The invention relates to the technical field of working condition monitoring, in particular to a method and system for monitoring the working condition of an injection molding machine during plastic injection molding. Background technique [0002] With the continuous evolution of industrial automation, the integration and complexity of injection molding machines continue to increase. Plastics are non-Newtonian fluids, which have complex physical and chemical properties, many variable factors, and strong coupling, resulting in low controllability of the injection molding machine production process. Abnormalities occur frequently, so timely and effective monitoring of the working conditions of the injection molding machine can provide an important production guarantee for plastic injection molding. [0003] At present, the working condition of the injection molding machine mainly uses the monitoring model to monitor the working condition data of the inje...

Claims

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Application Information

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IPC IPC(8): B29C45/76
CPCB29C45/76
Inventor 王静衡
Owner 武汉市衡德实业有限公司
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