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Fault detection method for railway wagon fire protection panels based on image processing

An image processing and railway freight car technology, applied in image data processing, image analysis, image enhancement, etc., can solve problems such as missed inspections or simplify the troubleshooting of unfavorable faults in operations, so as to improve operating efficiency, reduce false alarms, and improve detection efficiency. Effect

Active Publication Date: 2021-11-12
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the inspection and detection of the fire protection board of the existing freight car adopts manual processing, which is prone to missed inspection or simplified operation, which is not conducive to the investigation of the cause of the fault, and provides a fault detection method for the fire protection board of the railway freight car based on image processing

Method used

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  • Fault detection method for railway wagon fire protection panels based on image processing
  • Fault detection method for railway wagon fire protection panels based on image processing
  • Fault detection method for railway wagon fire protection panels based on image processing

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specific Embodiment approach 1

[0040] Specific implementation mode one: the following combination Figure 1 to Figure 3 Describe this embodiment, this embodiment is a kind of fault detection method based on image processing fire protection panel of railway freight car, specifically includes:

[0041] Step 1. Establish a set of normal subgraphs of fireproof boards, a collection of lost subgraphs of fireproof boards and a collection of damaged subgraphs of fireproof boards;

[0042] Step 2, using the normal subgraph set of the fireproof board and the lost subgraph set of the fireproof board to establish a judgment model for missing faults;

[0043] Using the set of normal subgraphs of the fireproof board and the set of damaged subgraphs of the fireproof board, the judgment model of damage fault is established;

[0044] Calculate the gray level co-occurrence matrix of each normal submap and each lost submap, and determine the judgment interval of the missing fault;

[0045] Calculate the gray level co-occurr...

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Abstract

The invention discloses an image processing-based fault detection method for fire protection boards of railway wagons, which belongs to the field of fault detection based on image processing. It solves the problem that the inspection and detection of the fire-proof panels of the existing trucks adopts manual processing, which is prone to missed inspections or simplified operations, and is not conducive to troubleshooting the cause of failure. The present invention constructs a judgment model of a missing fault and a judgment model of a damaged fault, and uses a gray level co-occurrence matrix to determine the judgment interval of a missing fault and a judgment interval of a damaged fault; intercepts the area of ​​the fireproof board of the image to be detected, and adopts the judgment model of a missing fault to carry out Judgment, if there is no loss, use the judgment interval of the loss fault to judge the loss again, if there is no loss, use the judgment model of the damage fault to judge the damage, if there is no damage, use the judgment area of ​​the damage fault to judge the damage again, if there is no damage, the fireproof board is intact If the judgment result is lost or damaged, the judgment is stopped and a detection is completed. The invention is applicable to the fault detection of the fire prevention board of the truck.

Description

technical field [0001] The invention belongs to the field of fault detection based on image processing. Background technique [0002] For the fault detection of the fire protection panel of the truck, at this stage, manual troubleshooting is generally used for troubleshooting. Since the inspection operation is greatly affected by factors such as the professional quality, sense of responsibility, and labor intensity of the operator, it is easy to miss inspection or simplify the operation. Moreover, the efficiency of manual inspection is low. Once a quality problem occurs, it is not conducive to finding the cause of the problem and the time when the problem occurred during the operation. Contents of the invention [0003] The purpose of the present invention is to solve the problem that the inspection and detection of the fire protection board of the existing freight car adopts manual processing, which is prone to missed inspection or simplified operation, which is not cond...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/45G06K9/62
CPCG06T7/0004G06T7/45G06T2207/20081G06T2207/30268G06F18/2411
Inventor 王斐
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD