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Real-time detection method and system for solder skips based on fuzzy reasoning and edge calculation

A technology of real-time detection and fuzzy reasoning, applied in manufacturing computing systems, welding equipment, arc welding equipment, etc., can solve problems such as lack of expert experience and knowledge, inability to achieve real-time detection, long processing time, etc., and achieve high hardware resource requirements, The effect of high utilization rate of data core information and long calculation time

Active Publication Date: 2022-07-05
苏芯物联技术(南京)有限公司
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Problems solved by technology

Such methods often have the disadvantages of long processing time, high complexity, and inability to achieve real-time detection. At the same time, they lack the participation of expert experience and knowledge. The later iterative model requires a large amount of data for retraining.

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  • Real-time detection method and system for solder skips based on fuzzy reasoning and edge calculation
  • Real-time detection method and system for solder skips based on fuzzy reasoning and edge calculation
  • Real-time detection method and system for solder skips based on fuzzy reasoning and edge calculation

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Embodiment Construction

[0041] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, and the technical solutions of the present invention will be described more clearly and completely.

[0042] like figure 1 Shown is a real-time detection method for solder leakage defects based on fuzzy reasoning and edge computing, including the following steps:

[0043] Step 1: Collect normal welding and welding sequence data with abnormal leakage welding (including but not limited to current, voltage, wire feeding, air feeding, etc.).

[0044] Step 2: According to the set window length Window_Size=10s (the stride is 1s), the sliding window is used to construct the sample, that is, the long-term sequence data of each window is used as a sample, and the sample data is marked according to the real welding defect (normal: 0 , Missing welding: 1).

[0045] Step 3: Randomly shuffle all the generated samples, and divide them into a training set Train and a...

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Abstract

The invention discloses a real-time detection method and system for solder skips based on fuzzy reasoning and edge calculation, and the method comprises the steps: firstly collecting normal welding time sequence data and solder skips abnormal time sequence data, and then carrying out the feature extraction and PCA dimension reduction; constructing a fuzzy reasoning system by using the sample features after dimension reduction to obtain the welding missing credibility; according to the relevance between the sample label and the welding leakage credibility, an abnormal threshold value of the welding leakage credibility is determined; and for new welding time sequence data, obtaining new solder skips credibility through fuzzy reasoning, and comparing the new solder skips credibility with an abnormal threshold value to realize real-time detection of solder skips defects. The real-time intelligent detection method for the solder skipping defect is constructed by combining PCA dimension reduction with fuzzy reasoning, the writing complexity of the fuzzy reasoning rule is reduced, meanwhile, the high recognition precision is kept, the hardware resource requirement is greatly reduced, meanwhile, the cost performance and the real-time performance are high, and the practical value is remarkable.

Description

technical field [0001] The invention relates to a real-time detection method and system for welding leakage defects based on fuzzy reasoning and edge computing, and belongs to the technical field of automatic welding. Background technique [0002] As an important manufacturing technology, welding is widely used in industrial production. The welding process is a typical uncertainty and nonlinear system process, and complex physical and chemical reactions will occur during the welding process. At the same time, the complexity of the welding process leads to inevitable welding quality defects. The main defect detection methods at this stage are human eye observation or some non-destructive testing equipment. [0003] Welding quality inspection is usually based on manual experience or using professional inspection equipment, which has high professional dependence, low inspection efficiency, high inspection cost, and the detection of defects has a strong hysteresis. The use of ...

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Application Information

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IPC IPC(8): B23K9/095B23K31/02
CPCB23K9/0953B23K9/0956B23K31/02Y02P90/30
Inventor 姚志豪李波田慧云
Owner 苏芯物联技术(南京)有限公司
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