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Fin Machining Condition Monitoring Method Based on Information Fusion

A processing state and machining technology, applied in neural learning methods, digital data information retrieval, measuring devices, etc., can solve the problems of poor accuracy and poor effect of fin machining state monitoring, and improve monitoring accuracy Effect

Active Publication Date: 2022-06-17
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing processing state monitoring methods are difficult to carry out unified comprehensive management and fusion decision-making analysis on the performance index data of the fin machining state, which makes the performance index data information fusion solution effect not good, resulting in accurate monitoring of the fin machining state bad sex

Method used

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  • Fin Machining Condition Monitoring Method Based on Information Fusion
  • Fin Machining Condition Monitoring Method Based on Information Fusion
  • Fin Machining Condition Monitoring Method Based on Information Fusion

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Embodiment

[0040] The applicant found that the intelligent agent has autonomy and self-adaptation, and it can realize the unified comprehensive management and fusion decision-making of the performance index data of the fin machining state through the interaction and mutual cooperation with other agents (multi-agent dynamic cooperation). At the same time, it can also quickly reflect the processing status of the finned machine according to the performance index, so adding the intelligent agent can realize the effective monitoring of the processing status of the finned machine.

[0041]At the same time, the applicant found that the BP neural network algorithm can effectively solve the problem of fin machining state information fusion. Therefore, considering that the three-layer BP neural network can realize any complex nonlinear mapping problem, the applicant has designed a combination of wavelet denoising. The three-layer BP neural network algorithm of the technology is used to realize the ...

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Abstract

The present invention relates to the technical field of equipment monitoring, in particular to a method for monitoring the processing state of a fin machine based on information fusion, comprising: acquiring a performance index data set of a fin machine to be monitored; inputting the performance index data set into a pre-trained processing state In the information fusion model; the processing state information fusion model performs information fusion processing on the index data in the performance index data set through multi-Agent dynamic cooperation and the neural network model, and generates the corresponding fin machining state results; outputs the fins to be monitored Machining status results of fins corresponding to the machine. The fin machining state monitoring method in the present invention can effectively conduct unified comprehensive management and fusion decision-making analysis on the performance index data, thereby improving the information fusion effect of the performance index data and the monitoring accuracy of the fin machining state.

Description

technical field [0001] The invention relates to the technical field of equipment monitoring, in particular to a fin machining state monitoring method based on information fusion. Background technique [0002] The fin machine is the key equipment for the production of radiators in automotive air-conditioning enterprises. Its processing and operation status directly affects the process of fin processing, which in turn affects the production progress and processing quality of automotive air-conditioning. Therefore, it is very important to monitor the machining status of fins. In the current production environment driven by personalized orders, the fin machining process has the characteristics of short processing cycle and real-time dynamic processing information. Therefore, how to carry out unified comprehensive management and integrated decision-making analysis on the performance index data set that affects its processing operation status, so as to realize the monitoring of f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G01D21/02G06F16/215G06N3/08
CPCG06Q10/06393G01D21/02G06F16/215G06N3/084
Inventor 李孝斌黎勇江沛尹超李博陈俊旭廖喜年
Owner CHONGQING UNIV