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Fin machine processing state 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

Active Publication Date: 2021-09-14
CHONGQING UNIV
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  • Abstract
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  • Claims
  • Application Information

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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 machine processing state monitoring method based on information fusion
  • Fin machine processing state monitoring method based on information fusion
  • Fin machine processing state monitoring method based on information fusion

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Embodiment

[0040] The applicant found that the intelligent agent has autonomy and adaptability, 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 quickly reflect the processing status of the fin machine according to the performance index, so the addition of intelligent Agent can realize the effective monitoring of the processing status of the fin 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 designed a method that combines wavelet denoising The three-layer BP neural network algorithm of technology realizes the fusion of multi-source ...

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Abstract

The invention relates to the technical field of equipment monitoring, in particular to a fin machine processing state monitoring method based on information fusion, which comprises the following steps: acquiring a performance index data set of a to-be-monitored fin machine; inputting the performance index data set into a pre-trained processing state information fusion model; enabling the processing state information fusion model to perform information fusion processing on index data in the performance index data set through multi-Agent dynamic cooperation and a neural network model, and generating a corresponding fin machine processing state result; and outputting the fin machine processing state result corresponding to the to-be-monitored fin machine. According to the fin machine processing state monitoring method, unified comprehensive management and fusion decision analysis can be effectively performed on the performance index data, so that the information fusion effect of the performance index data and the monitoring accuracy of the fin machine processing state can be improved.

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 vehicle air-conditioning enterprises. Its processing and operating status directly affects the process of fin processing, which in turn affects the production progress and processing quality of vehicle 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 sets that affect its processing and operation status, so as to realize the monitoring of fin...

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Application Information

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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