Adaptive dimming belt foreign matter detection method and system based on fuzzy PID

A foreign object detection and adaptive technology, applied in the field of image processing, can solve the problems of poor quality of collected images, unguaranteed quality of input images, different light response characteristics, etc., and achieve the effect of improving accuracy

Pending Publication Date: 2021-11-16
CHINA UNIV OF MINING & TECH
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AI Technical Summary

Problems solved by technology

[0002] Image recognition technology has been applied to the research of foreign object recognition in the field of belt transportation coal mines, but there is a problem of poor quality of collected images, which leads to low recognition accuracy
[0003] The current research is mainly aimed at the sorting of foreign matter in coal transportation, identifying the flat foreign matter on the belt. Due to the large number of types, such as discarded anchors, bolts and wood, etc., it is more difficult to sort foreign matter. Moreover, the environment for collecting images is poor, and

Method used

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  • Adaptive dimming belt foreign matter detection method and system based on fuzzy PID
  • Adaptive dimming belt foreign matter detection method and system based on fuzzy PID
  • Adaptive dimming belt foreign matter detection method and system based on fuzzy PID

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Effect test

Embodiment 1

[0044] see figure 1 , a method for foreign object detection based on fuzzy PID adaptive dimming belt, comprising the following steps

[0045] Step 100, the photoelectric switch sensor detects the state of the material, returns the information to the console, and turns on the R, G, and B three-color LED linear light sources;

[0046] Step 101, judging whether the image definition meets the initial setting requirements;

[0047] Step 102, if the image definition meets the initial setting requirements, start the area array industrial camera for image acquisition, and collect images on the belt conveyor;

[0048] Step 103, if the image definition does not meet the initial setting requirements, perform fuzzy PID control to adjust the lighting until the image definition reaches the optimal definition, and then perform image acquisition;

[0049]Step 104, performing foreign object recognition on images meeting the definition requirements, and outputting confidence information;

[...

Embodiment 2

[0063] see figure 2 , a fuzzy-PID-based self-adaptive dimming belt foreign matter detection method, taking an experiment as an example to illustrate the advantages of the present invention compared with the prior art.

[0064] 1) The belt conveyor transports coal and other materials, and the photoelectric switch detects the material position;

[0065] 2) The photoelectric switch detects the material and sends information to the control system;

[0066] 3) Turn on the three-color LED lighting to carry out the initial light collection image work; (the supplementary light device can be an LED light)

[0067] 4) Read the detection image for the first time, and calculate the image definition;

[0068] 5) Satisfy the image definition design requirements of the initial design, and perform image grayscale processing, otherwise perform fuzzy PID control to adjust lighting, and repeat step 3);

[0069] 6) Input the image into the yolov3 belt foreign object detection model for foreig...

Embodiment 3

[0075] see Figure 3-4 , a foreign matter detection system based on fuzzy PID adaptive dimming belt, the system includes

[0076] The LED three-color illumination module 1 is used to provide the illumination conditions of three colors of R, G, and B respectively, and is used to adjust the light intensity;

[0077] The image acquisition module 2 collects the material information on the belt conveyor, converts the optical signal into an electrical signal, and inputs it into the computer;

[0078] Fuzzy PID adjustment lighting module 3, based on fuzzy rules, adjusts the light intensity;

[0079] Foreign matter detection hardware module 4, which is composed of LED line light source 401, area array industrial camera 402, shading plate 403, curtain 404, sorting manipulator 405 and mine belt conveyor 406, the two sides and the top of the mine belt conveyor 406 are respectively installed There are light-shielding plates 403, and LED line light sources 401 are installed on the three ...

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Abstract

The invention discloses an adaptive dimming belt foreign matter detection method and system based on fuzzy PID. The system comprises an LED three-color illuminance module, a fuzzy PID adjustment illuminance module, an image gray processing module, an image acquisition module, a foreign matter detection hardware module, a foreign matter deep learning detection model module and a segmentation and sorting processing module. In consideration of the influence of a light source on image definition during image acquisition and a complex downhole environment, the illuminance of the light source is adjusted through fuzzy PID, the image definition is adjusted, a high-definition image input is ensured, the acquired image is input into a yolo-based deep learning detection model, and the recognized foreign matter image is segmented and recognized so that the precision of belt foreign matter recognition is effectively improved. By using the technical means of segmenting the image, the surface area of the belt foreign matter is calculated, so that the automation level of belt foreign matter sorting and fully mechanized caving face is improved, the labor intensity of workers is reduced, and the foreign matter sorting accuracy is ensured.

Description

technical field [0001] The invention relates to a belt foreign matter detection method and system, in particular to a fuzzy PID-based self-adaptive dimming belt foreign matter detection method and system, belonging to the technical field of image processing. Background technique [0002] Image recognition technology has been applied to the research of foreign object recognition in the field of belt transportation coal mines, but there is a problem of poor quality of collected images, which leads to low recognition accuracy. [0003] The current research is mainly aimed at the sorting of foreign matter in coal transportation, identifying the flat foreign matter on the belt. Due to the large number of types, such as discarded anchors, bolts and wood, etc., it is more difficult to sort foreign matter. Moreover, the environment for collecting images is poor, and the quality of input images cannot be guaranteed. And in the process of image acquisition, usually a linear light sou...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/62G06N3/04G06N3/08
CPCG06T7/0002G06T7/11G06T7/62G06N3/08G06T2207/20081G06N3/045
Inventor 刘新华张旭华德正张晓光郝敬宾刘晓帆周皓路和刘浩梁斌冀连权王勇
Owner CHINA UNIV OF MINING & TECH
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