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Intelligent early warning method and system oriented to self-adaptive scheduling and unmanned production line cooperation

A production line, self-adaptive technology, applied in forecasting, comprehensive factory control, data processing applications, etc., can solve problems such as poor forecasting accuracy

Active Publication Date: 2021-02-05
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] Aiming at the deficiencies of the existing methods, the present invention provides an intelligent early warning method and system for the coordination of adaptive scheduling and unmanned production lines, which solves the problem of poor prediction accuracy obtained by the existing extended confidence rule method

Method used

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  • Intelligent early warning method and system oriented to self-adaptive scheduling and unmanned production line cooperation
  • Intelligent early warning method and system oriented to self-adaptive scheduling and unmanned production line cooperation
  • Intelligent early warning method and system oriented to self-adaptive scheduling and unmanned production line cooperation

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Embodiment 1

[0120] like figure 1 As shown, the present invention provides an intelligent early warning method for adaptive scheduling and unmanned production line collaboration, the method is executed by a computer, and the method includes:

[0121] Obtain training data and test data based on the reference value range of the load index;

[0122] Based on the training data, build an extended confidence rule base;

[0123] Construct a weighted fully connected graph based on the extended confidence rule base;

[0124] Construct the minimum spanning tree of the weighted fully connected graph;

[0125] Select alternative activation rules based on test data;

[0126] Based on the alternative activation rules, reasoning is performed on the extended confidence rule base, and the prediction results are output.

[0127] The beneficial effects of the embodiments of the present invention are:

[0128] 1. A minimum spanning tree is built based on extended confidence rules, which greatly facilitat...

Embodiment 2

[0249] The present invention also provides an intelligent early warning system for adaptive scheduling and unmanned production line collaboration, the system includes a memory, a processor, and a computer program stored on the memory and operable on the processor, the processor executes The computer program implements the steps of the above method.

[0250] It can be understood that the intelligent early warning system for adaptive scheduling and unmanned production line coordination provided by the embodiment of the present invention corresponds to the above-mentioned intelligent early warning method for adaptive scheduling and unmanned production line coordination, and the explanations, examples, and The beneficial effects and other parts can refer to the corresponding content in the intelligent early warning method for the coordination of adaptive scheduling and unmanned production line, and will not be repeated here.

[0251] In summary, compared with the prior art, the pr...

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Abstract

The invention provides an intelligent early warning method and system oriented to self-adaptive scheduling and unmanned production line cooperation, and relates to the technical field of intelligent manufacturing. Based on the extended confidence rules in the extended confidence rule base, the minimum spanning tree structure is constructed to change the search process of the activation rules, so that the index of the rules is greatly facilitated. By calculating the similarity between the test data and the rules in the rule base, the rule with the highest similarity and the rule directly connected with the rule in the minimum spanning tree are selected as alternative activation rules, and more accurate positioning and activation can be achieved. Finally, the purpose of improving the equipment load prediction precision is achieved, and then an alarm is given out in time through an alarm device to power off the equipment for maintenance by maintenance personnel.

Description

technical field [0001] The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent early warning method and system for the coordination of adaptive scheduling and unmanned production lines. Background technique [0002] Each processing equipment on the unmanned production line has a certain carrying capacity. If the rated load is exceeded, the equipment may be seriously worn out, the functionality of the equipment may decline or even be scrapped, which will lead to a decline in production and manufacturing efficiency. This will cause serious damage to the production activities of the enterprise. The impact is undoubtedly bad. Taking the layout of the production line for processing locomotive brake discs as an example, the load capacity of the robot for grinding brake discs is limited. If it runs at high speed for a long time, it will not only damage the grinding head, but also cause the head to shift, which will cause small defe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q10/00G06K9/62
CPCG06Q10/06393G06Q10/04G06Q10/20G06F18/22G06F18/214Y02P90/02
Inventor 付超侯冰冰薛旻吴子健丁晓艺
Owner HEFEI UNIV OF TECH
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