CN109741308A - A kind of rubber conveyer belt ponding automatic testing method - Google Patents
A kind of rubber conveyer belt ponding automatic testing method Download PDFInfo
- Publication number
- CN109741308A CN109741308A CN201811613290.1A CN201811613290A CN109741308A CN 109741308 A CN109741308 A CN 109741308A CN 201811613290 A CN201811613290 A CN 201811613290A CN 109741308 A CN109741308 A CN 109741308A
- Authority
- CN
- China
- Prior art keywords
- conveyer belt
- image
- rubber conveyer
- rubber
- ponding
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 14
- 239000003292 glue Substances 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 8
- 239000003245 coal Substances 0.000 abstract description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 238000009825 accumulation Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000000994 depressogenic effect Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Landscapes
- Control Of Conveyors (AREA)
Abstract
The present invention discloses a kind of rubber conveyer belt ponding automatic testing method, and step is to read the image I of the rubber conveyer belt of camera acquisition;Gray level image G is converted by image I;Area-of-interest is intercepted from gray level image G;Threshold value T is obtained by rubber conveyer belt rubber areas;Binaryzation is carried out to rubber conveyer belt sunk area using the threshold value T, the image B after obtaining binaryzation;White pixel point statistics is carried out to the image B after binaryzation, according to statistical result, exports judging result.The present invention is based on machine vision methods, pass through the camera collection image of fixed position, ponding situation is detected automatically using the method for image procossing, work is removed for subsequent ponding, and key message is provided, industrial automation and intelligent level are improved, the outdoor automatic test problems using ponding when rubber conveyer belt in fields such as harbour, power plant, coal mine are solved.
Description
Technical field
The present invention relates to belt conveyor technical fields, and in particular to a kind of rubber conveyer belt ponding automatic testing method.
Background technique
Belt conveyor is mechanical as a kind of continuative transport, and because it has, carrying capacity is strong, continuous operation is steady, convenient for certainly
The advantages that dynamic control, is widely used among the engineering fields such as coal mine, harbour, power plant's transport.Rubber conveyer belt is belt conveyor
The critical component of traction and carrying.When open-air atmosphere uses belt conveyor, the rainy day can form ponding on rubber conveyer belt.Such as
Fruit can cause very big influence without removing water process to the material on rubber conveyer belt.
Summary of the invention
The purpose of the present invention is to propose to a kind of rubber conveyer belt ponding automatic testing method based on machine vision, with automatic
The problem of detecting glue conveyer belt ponding.
The technical solution adopted to achieve the purpose of the present invention is as follows:
A kind of rubber conveyer belt ponding automatic testing method, comprising steps of
Read the image I of the rubber conveyer belt of camera acquisition;
Gray level image G is converted by the image I;
Area-of-interest is intercepted from the gray level image G;
Threshold value T is obtained by rubber conveyer belt rubber areas;
Binaryzation is carried out to rubber conveyer belt sunk area using the threshold value T, the image B after obtaining binaryzation;
White pixel point statistics is carried out to the image B after binaryzation, according to statistical result, exports judging result.
When the number of white pixel point is greater than N, it is judged as there is ponding, N is the image pixel of rubber conveyer belt sunk area
The 50% of point sum.
Area-of-interest is intercepted from gray level image G from described, is according to rubber conveyer belt actual condition, from grayscale image
It not will form outside rubber conveyer belt sunk area and rubber conveyer belt sunk area as intercepting ponding easy to form in G
The rubber conveyer belt rubber areas of ponding.
Described obtains threshold value T by rubber conveyer belt rubber areas, is the gray scale using rubber conveyer belt rubber areas
Threshold value T is arranged in the average value of value.
The present invention is based on machine vision techniques, and the image of rubber conveyer belt is acquired by the camera of fixed position, is utilized
The method of image procossing detects ponding situation automatically, solve the fields such as harbour, power plant, coal mine it is outdoor using rubber conveyer belt when
The automatic test problems of ponding.
Detailed description of the invention
Fig. 1 is the operational flowchart of rubber conveyer belt ponding automatic testing method of the present invention;
Fig. 2 is the image of camera collection in worksite;
Fig. 3 is the water detection result figure obtained using the method for the present invention.
Specific embodiment
The specific embodiment of summary of the invention is illustrated with reference to the accompanying drawing.
As shown in Fig. 1, rubber conveyer belt ponding automatic testing method proposed by the present invention, comprising the following steps:
Step 1, the live image I as shown in Figure 2 of camera acquisition is read;
Step 2, gray level image G is converted by image I;
Step 3, according to rubber conveyer belt actual condition, interested two regions are intercepted from gray level image G, respectively
The sunk area ROI of ponding easy to form-con(water accumulation part shown in Fig. 2, a rectangle of 100 depressed area of rubber conveyer belt
Region 10) and sunk area ROI-conOutside not will form the rubber areas ROI of ponding-rub(water accumulation part shown in Fig. 2 is left
Side forms a rectangular area 20 on slope on rubber conveyer belt);
Step 4, pass through rubber areas ROI-rubThreshold value T is arranged in the average value of gray value;
Step 5, using T, to sunk area ROI-conCarry out binaryzation, the image B after obtaining binaryzation;
Step 6, to the image B after binaryzation, white pixel point statistics is carried out, (N is when the number of white pixel point is greater than N
Sunk area ROI-conThe 50% of image slices vegetarian refreshments sum), it is judged as there is ponding, is otherwise judged as no ponding.
To the result after Fig. 2 detection as shown in figure 3, white area is pools zone in Fig. 3.
Operation of the present invention is easy, algorithm is simple, and calculation amount is small, execution efficiency is high, speed is fast, and algorithm of the present invention can
To realize in embedded systems, such as realized by ARM, DSP, FPGA, it, can also be by upper to further increase arithmetic speed
Machine software realization.
The present invention is practical using the operating condition of rubber conveyer belt, and binarization threshold is arranged, ensure that the validity of correcting algorithm
And accuracy.
The method of the present invention is not limited to rubber conveyer belt ponding and detects automatically, applies also for other based on machine vision
Non-destructive testing in.
One embodiment of the present invention has been described in detail above, rather than limitation of the present invention, related technology are led
The technical staff in domain without departing from the spirit and scope of the present invention, can also make it is various transformation and variation so as to
To obtain corresponding equivalent technical solution, therefore all equivalent technical solutions should be included into patent protection of the invention
Range.
Claims (4)
1. a kind of rubber conveyer belt ponding automatic testing method, which is characterized in that comprising steps of
Read the image I of the rubber conveyer belt of camera acquisition;
Gray level image G is converted by the image I;
Area-of-interest is intercepted from the gray level image G;
Threshold value T is obtained by rubber conveyer belt rubber areas;
Binaryzation is carried out to rubber conveyer belt sunk area using the threshold value T, the image B after obtaining binaryzation;
White pixel point statistics is carried out to the image B after binaryzation, according to statistical result, exports judging result.
2. rubber conveyer belt ponding automatic testing method as described in claim 1, which is characterized in that when the number of white pixel point is big
When N, it is judged as there is ponding, N is the 50% of the image slices vegetarian refreshments sum of rubber conveyer belt sunk area.
3. rubber conveyer belt ponding automatic testing method as described in claim 1, which is characterized in that from described from gray level image
Area-of-interest is intercepted in G, is that the rubber of ponding easy to form is intercepted from gray level image G according to rubber conveyer belt actual condition
The rubber conveyer belt rubber areas of ponding is not will form outside glue conveyer belt sunk area and rubber conveyer belt sunk area.
4. rubber conveyer belt ponding automatic testing method as described in claim 1, which is characterized in that described to be conveyed by rubber
Band rubber areas obtains threshold value T, is the average value setting threshold value T using the gray value of rubber conveyer belt rubber areas.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811613290.1A CN109741308A (en) | 2018-12-27 | 2018-12-27 | A kind of rubber conveyer belt ponding automatic testing method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811613290.1A CN109741308A (en) | 2018-12-27 | 2018-12-27 | A kind of rubber conveyer belt ponding automatic testing method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109741308A true CN109741308A (en) | 2019-05-10 |
Family
ID=66360213
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811613290.1A Pending CN109741308A (en) | 2018-12-27 | 2018-12-27 | A kind of rubber conveyer belt ponding automatic testing method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109741308A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113012428A (en) * | 2021-02-08 | 2021-06-22 | 陈雁鹏 | Big data analysis processing method and system based on terminal |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104616275A (en) * | 2013-11-04 | 2015-05-13 | 北京兆维电子(集团)有限责任公司 | Defect detecting method and defect detecting device |
CN105447851A (en) * | 2015-11-12 | 2016-03-30 | 刘新辉 | Glass panel sound hole defect detection method and system |
-
2018
- 2018-12-27 CN CN201811613290.1A patent/CN109741308A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104616275A (en) * | 2013-11-04 | 2015-05-13 | 北京兆维电子(集团)有限责任公司 | Defect detecting method and defect detecting device |
CN105447851A (en) * | 2015-11-12 | 2016-03-30 | 刘新辉 | Glass panel sound hole defect detection method and system |
Non-Patent Citations (1)
Title |
---|
孙计爽: "基于机器视觉的橡胶输送带积水识别方法", 《煤矿机械》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113012428A (en) * | 2021-02-08 | 2021-06-22 | 陈雁鹏 | Big data analysis processing method and system based on terminal |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102602681B (en) | Machine vision based online deviation fault detecting method for conveying belts | |
CN101893580B (en) | Digital image based detection method of surface flaw of steel rail | |
CN106290388A (en) | A kind of insulator breakdown automatic testing method | |
CN108230315B (en) | Mask belt loss detection method based on machine vision | |
CN109101856A (en) | A kind of image in 2 D code recognition methods and device | |
CN104990925A (en) | Defect detecting method based on gradient multiple threshold value optimization | |
CN106370659B (en) | A kind of bottle body package quality visible detection method | |
CN107843600B (en) | Method for detecting appearance fingerprint defects of polycrystalline silicon solar cell | |
CN102305798A (en) | Method for detecting and classifying glass defects based on machine vision | |
CN110648364A (en) | Multi-dimensional space solid waste visual detection positioning and identification method and system | |
CN106846315B (en) | Method for calculating soil body fracture rate based on soil body image | |
CN102663386B (en) | Online detection method of mechanical-bearing annular-distributed pressed character | |
CN105954301A (en) | Bottleneck quality detection method based on machine vision | |
CN107490582A (en) | A kind of streamline Work Piece Verification System Based | |
CN113139572B (en) | Image-based train air spring fault detection method | |
CN107610092A (en) | Pavement crack dynamic testing method based on video flowing | |
CN107610090B (en) | Method for detecting grid line deviation on surface of photovoltaic cell | |
CN109741308A (en) | A kind of rubber conveyer belt ponding automatic testing method | |
CN105303573A (en) | Method and system of pin detection of gold needle elements | |
CN104833925A (en) | Fuel cell bipolar plate detection method and system based on machine vision | |
CN1987893A (en) | Method for identifying fabric grain image facing camara weft straightener | |
CN113971681A (en) | Edge detection method for belt conveyor in complex environment | |
CN105301003A (en) | Method for detecting bottle cap surface production date based on machine vision | |
CN105129370A (en) | Method for detecting longitudinal tearing of belt conveyor | |
CN105414206A (en) | On-line rapid positioning method for cold-rolling strip steel edge |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190510 |