CN113120634A - Bucket wheel machine conveyer belt tearing image processing method and fault detection device - Google Patents
Bucket wheel machine conveyer belt tearing image processing method and fault detection device Download PDFInfo
- Publication number
- CN113120634A CN113120634A CN201911397726.2A CN201911397726A CN113120634A CN 113120634 A CN113120634 A CN 113120634A CN 201911397726 A CN201911397726 A CN 201911397726A CN 113120634 A CN113120634 A CN 113120634A
- Authority
- CN
- China
- Prior art keywords
- bucket wheel
- wheel machine
- image
- conveyor belt
- processing unit
- 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
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G65/00—Loading or unloading
- B65G65/02—Loading or unloading machines comprising essentially a conveyor for moving the loads associated with a device for picking-up the loads
- B65G65/04—Loading or unloading machines comprising essentially a conveyor for moving the loads associated with a device for picking-up the loads with pick-up shovels
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/02—Control devices, e.g. for safety, warning or fault-correcting detecting dangerous physical condition of load carriers, e.g. for interrupting the drive in the event of overheating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/02—Control or detection
- B65G2203/0266—Control or detection relating to the load carrier(s)
- B65G2203/0275—Damage on the load carrier
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
- B65G2203/041—Camera
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2207/00—Indexing codes relating to constructional details, configuration and additional features of a handling device, e.g. Conveyors
- B65G2207/40—Safety features of loads, equipment or persons
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Control Of Conveyors (AREA)
Abstract
The invention provides a bucket wheel machine conveyer belt tearing image processing method and a fault detection device, wherein the method comprises the steps of obtaining a bucket wheel machine conveyer belt surface image; preprocessing the acquired image to obtain a high-quality image; segmenting the high-quality image to highlight the target area and weaken secondary information; and extracting the characteristics of the segmented graph to obtain the tearing state. The device comprises a collecting device, a bucket wheel machine and a bucket wheel machine, wherein the collecting device is arranged on a use place and is arranged above a conveyer belt of the bucket wheel machine; the processing unit is connected with the acquisition device; the alarm unit is connected with the processing unit; the communication unit is connected with the processing unit; the power supply unit is connected with the processing unit; the bucket wheel machine conveyer belt tearing image processing method and the fault detection device provided by the invention can eliminate the influence of subjective factors in the manual detection process, can quantitatively describe the detected belt state, and improve the detection efficiency and precision.
Description
Technical Field
The invention relates to the field of bucket wheel machines, in particular to a bucket wheel machine conveying belt tearing image processing method and a fault detection device.
Background
A bucket-wheel stacker-reclaimer is a continuous-conveying efficient loading and unloading machine which is used for large-scale dry bulk cargo storage yards and can stack and reclaim materials. At present, a cantilever type bucket wheel machine is generally adopted in domestic thermal power plants to carry out stacking and reclaiming operations on coal yards; the cantilever bucket wheel machine consists of a bucket wheel mechanism, a swing mechanism, a belt conveyor, a tail car and a pitching and running mechanism. The belt conveyor is the main transportation equipment of coal materials, and has the advantages of strong continuous conveying capacity, high operation efficiency and easy realization of automatic control. However, in the steel rope core rubber belt on the belt conveyor, the steel rope and the steel rope are completely made of rubber, no other material exists in the steel rope core rubber belt, and the conveying belt is often torn due to the fact that hard objects such as stones or metal are clamped in a certain position and cut through the conveying belt in the running process of the steel rope core rubber belt.
The conveying belt is used as the most important coal carrying body, and once the conveying belt is torn, the conveying belt not only brings great threat to safety production, but also brings huge economic loss to production units. Therefore, the method has important theoretical and practical engineering significance for preventing the tearing of the adhesive tape in advance and detecting the fine cracks on the conveying belt.
Conveyor belt tears can be generally divided into transverse tears and longitudinal tears with respect to their direction of travel. The transverse tearing of the conveying belt is mostly caused by the breakage of a joint part or the breakage or corrosion of a steel wire rope core caused by the water entering due to the breakage of a rubber skin. Therefore, improving the quality of the joint at the tape joint and enhancing routine maintenance work are the main measures to reduce the lateral tearing of the tape. In addition, the longitudinal tearing can be generated in the conveying process of the conveying belt due to the clamping and pressing of materials, the damage of foreign matters and the deviation of the conveying belt. The longitudinal tearing of the conveying belt has great randomness and limited detection means.
In the prior art, the detection method of the longitudinal tearing of the conveying belt is various and is divided into a contact type and a non-contact type according to the contact type. Contact type piezoresistors, weighing sensors, string lines, lever stones and the like; non-contact X-ray flaw detection, ultrasonic detection and the like; however, the various detection methods have immature and unstable places, some detection methods need to be coupled to a conveying belt, intermediate links are multiple, and the manufacturing cost is high; some devices are easy to realize but have low action reliability, low detection precision and too many false actions, so that the production cannot be normally organized; therefore, most of the methods cannot be generally applied in actual production, and manual detection is mostly adopted.
Disclosure of Invention
The invention provides a bucket wheel machine conveyor belt tearing image processing method and a fault detection device, which solve the problems in the prior art.
The technical scheme of the invention is realized as follows:
a bucket wheel machine conveyer belt tearing image processing method comprises the following steps:
s1, acquiring a surface image of the conveyor belt of the bucket wheel machine;
s2, preprocessing the image acquired in the step S1 to obtain a high-quality image;
s3, segmenting the high-quality image in the step S2 to highlight the target area and weaken secondary information;
and S4, extracting the characteristics of the graph divided in the step S3 to obtain the tearing state.
As a further technical solution, the step of S1 includes: the camera is used for acquiring the surface image of the conveying belt of the bucket wheel machine, and when light is insufficient, the auxiliary light source is used for supplementing light.
As a further technical solution, the step of S2 includes: and performing noise reduction processing on the image obtained in the step S1 through median filtering, and performing histogram balancing on the noise-reduced image to obtain a high-quality image.
As a further technical solution, the step of S3 includes: the high quality image in step S2 is segmented by the pertus threshold segmentation algorithm to achieve highlighting of the target region and to attenuate the secondary information.
As a further technical solution, the step of S4 includes: indirectly calculating the length of the crack in the region by calculating the diagonal length of the external rectangle of the region on the image segmented in the step S3; and acquiring the state of the bucket wheel machine conveyor belt through the crack length.
The invention also provides a device for detecting the tearing fault of the conveyor belt of the bucket wheel machine, which comprises the following components:
the acquisition device is used for acquiring the images of the using environment of the bucket wheel machine conveying belt, is arranged in a using place and is arranged above the bucket wheel machine conveying belt;
the processing unit is used for processing the information acquired by the acquisition device and is connected with the acquisition device;
the alarm unit is connected with the processing unit;
the communication unit is connected with the processing unit;
and the power supply unit is connected with the processing unit.
As a further technical solution, the collecting device comprises:
the camera is arranged at the use place and is arranged on the conveying belt of the bucket wheel machine;
and an auxiliary light source disposed adjacent to the camera.
Preferably, the processing unit is an embedded processing terminal.
As a further technical solution, the embedded processing terminal includes:
the embedded processor is connected with the memory, the network card, the display screen and the sound card respectively.
Preferably, the alarm device is an LED indicator light and/or a speaker.
According to the technical scheme, the state of the conveyor belt of the bucket wheel machine is acquired through an image acquisition technology, whether the conveyor belt of the bucket wheel machine is torn or not can be known according to the state, and if the conveyor belt of the bucket wheel machine is torn, an alarm is given out, so that corresponding treatment is carried out; compared with the prior art, the influence of subjective factors in the manual detection process can be eliminated, the performance standard of detection can be quantitatively described, and the detection efficiency and precision are improved;
in addition, compared with a sensor detection mode in the prior art, the data acquisition device only needs an industrial camera and an auxiliary light source, so that the cost is low, the accuracy and the reliability are high, and secondary development is convenient;
besides, the technical scheme of the method can accurately detect, and can also determine the position of the tearing fault, thereby providing convenience for subsequent conveyer belt repair work.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a conveyor belt tearing fault detection device of a bucket wheel machine according to the present invention;
FIG. 2 is a block diagram of a tearing fault detection device for a conveyor belt of a bucket wheel machine according to the present invention;
FIG. 3 is a flowchart illustrating the operation of a conveyor belt tearing fault detection apparatus for a bucket wheel machine according to the present invention;
FIG. 4 is a flowchart of a method for processing a torn image of a conveyor belt of a bucket wheel machine according to the present invention.
In the figure:
a collection device 1; a camera 11; an auxiliary light source 12; a conveyor belt 2.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 3-4, the present invention provides a method for processing a torn image of a conveyor belt of a bucket wheel machine, comprising the following steps:
acquiring a surface image of a conveying belt of a bucket wheel machine; specifically, a camera is used for acquiring a surface image of the conveyor belt of the bucket wheel machine, and when light is insufficient, supplementary lighting is performed through an auxiliary light source;
preprocessing the acquired image to obtain a high-quality image; specifically, because the working environment of the belt conveyor is dusty, and the illumination is insufficient (even if the supplementary lighting is performed through an auxiliary light source, the condition of insufficient light is still generated), a large amount of noise generally exists in the acquired image to influence the image quality, so that the image is obtained through median filtering to perform noise reduction processing, and the image subjected to noise reduction is balanced through a histogram, so that a high-quality image is obtained, namely a high-quality conveying belt surface image is obtained;
segmenting the high-quality image to highlight the target area and weaken secondary information; specifically, in order to separate a crack target to be identified from a high-quality image, the high-quality image is segmented through an Otus threshold segmentation algorithm, so that the target area is highlighted and secondary information is weakened;
extracting the characteristics of the segmented graph to obtain a tearing state; specifically, the length of the crack in the region is indirectly calculated by calculating the length of the diagonal line of the external rectangle of the region on the segmented image; acquiring the state of the bucket wheel machine conveyor belt through the crack length; judging whether the tearing fault occurs or not by judging whether the crack length exceeds a specified threshold value or not; wherein the prescribed threshold is determined by empirical data statistically obtained at the work site.
As shown in fig. 1-2, the present invention further provides a device for detecting a tearing fault of a conveyor belt of a bucket wheel machine, comprising:
the acquisition device 1 is arranged at a use place and is arranged above the bucket wheel machine conveyer belt 2, and the acquisition device 1 is used for acquiring the use environment image of the bucket wheel machine conveyer belt 2; wherein, the collecting device 1 comprises a camera 2 and an auxiliary light source 12, the camera 2 is arranged at a use place and is arranged on the conveyer belt 2 of the bucket wheel machine; the auxiliary light source 12 is disposed adjacent to the camera 2; and in the present invention, the camera 2 is preferably an industrial camera 2;
specifically, a metal support is arranged right above the conveyor belt, the camera 2 is fixed on the metal support, the auxiliary light source 12 is arranged adjacent to the camera 2, and it is required to ensure that the output light can reach the position shot by the camera 2 when the auxiliary light source 12 is started; in the present invention, the auxiliary light source 12 is preferably a light supplement lamp; in addition, if the bandwidth of the conveyer belt is about 1 meter, the selected camera 2 has a visual angle of about 90 degrees, and the installation height is between 50cm and 100 cm; of course, the heights of the camera 2 and the auxiliary light source 12 are adjusted according to different loan requirements of the conveyor belt 2, and the invention is not further limited according to the actual situation; of course, depending on the operating environment, the auxiliary light source 12 may be selectively used, and when the operating environment light can satisfy the shooting of the camera 2, the auxiliary light source 12 may not be used;
the processing unit is connected with the acquisition device 1 and is used for processing the information acquired by the acquisition device 1; in the invention, preferably, the processing unit is an embedded processing terminal; the embedded processing terminal comprises an embedded processor, a memory, a network card, a display screen and a sound card, wherein the embedded processor is respectively connected with the memory, the network card, the display screen and the sound card;
as shown in fig. 2, the cut-in processor selects an ARM11 processor S3C6410 as a core, and integrates a USB host controller and a camera controller CAMIF on the embedded processor, and is connected to the camera 2 through the camera controller to control the camera 2; the memory comprises 1 NAND Flash of 1GB and 1 SDRAM of 256 MB; the image data collected by the image collecting device 1 is stored in SDRAM, and the image processing and analysis are carried out by an embedded processor; the network card is a DM9000 network card, the sound card is a WM8976 sound card, and the network card is connected with the alarm unit through the sound card; the display screen is an LCD display screen;
the alarm unit is connected with the processing unit; preferably, the alarm device is an LED indicator light and/or a loudspeaker; according to the actual situation, a single LED indicator lamp or a loudspeaker can be selected and used, or the LED indicator lamp and the loudspeaker can be simultaneously selected; the LED indicator light and the loudspeaker are used simultaneously;
the communication unit is connected with the processing unit; in the invention, a communication unit is connected with a network card, the communication unit is preferably a wireless communication device, and data transmission with a remote monitor is realized through the communication unit;
the power supply unit is connected with the processing unit; the power supply unit is preferably a power supply, and the power supply unit supplies electric energy required by operation to the processing unit.
Actual use stage:
as shown in fig. 3, when the conveyor belt runs empty, the present failure detection device starts to operate; the acquisition device 1 acquires a video image of the conveying belt and stores the video image into a processing unit (a memory of an embedded processing terminal), and meanwhile, a remote monitoring machine transmits the belt speed of the belt conveyor to the embedded processing terminal in real time;
the embedded processor processes and analyzes the image data, and when the tearing fault of the conveying belt is detected, an alarm device is triggered, namely an LED indicator lamp flickers, and a loudspeaker gives out a voice alarm; meanwhile, displaying the picture containing the tearing characteristics on an LCD display screen; the embedded processor calculates the distance between the tearing position and the mark point of the conveying belt according to the real-time belt speed, and the tearing fault is positioned; finally, the processing unit transmits the picture containing the tearing characteristics, the alarm information and the tearing position information to a remote monitoring machine through a communication unit (a wireless communication device) for further processing data.
The present invention is not limited to the above embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The method for processing the tearing image of the conveyor belt of the bucket wheel machine is characterized by comprising the following steps of:
s1, acquiring a surface image of the conveyor belt of the bucket wheel machine;
s2, preprocessing the image acquired in the step S1 to obtain a high-quality image;
s3, segmenting the high-quality image in the step S2 to highlight the target area and weaken secondary information;
and S4, extracting the characteristics of the graph divided in the step S3 to obtain the tearing state.
2. The method as claimed in claim 1, wherein the step of S1 includes: the camera is used for acquiring the surface image of the conveying belt of the bucket wheel machine, and when light is insufficient, the auxiliary light source is used for supplementing light.
3. The method as claimed in claim 1, wherein the step of S2 includes: and performing noise reduction processing on the image obtained in the step S1 through median filtering, and performing histogram balancing on the noise-reduced image to obtain a high-quality image.
4. The method as claimed in claim 1, wherein the step of S3 includes: the high quality image in step S2 is segmented by the pertus threshold segmentation algorithm to achieve highlighting of the target region and to attenuate the secondary information.
5. The method as claimed in claim 1, wherein the step of S4 includes: indirectly calculating the length of the crack in the region by calculating the length of the diagonal line of the external rectangle of the region for the image segmented in the step S3; and acquiring the state of the bucket wheel machine conveyor belt through the crack length.
6. A bucket wheel conveyor belt tear failure detection apparatus using the method of any one of claims 1-5, comprising:
the acquisition device (1) is used for acquiring the environmental image by using the bucket wheel machine conveyer belt (2), is arranged in a use place and is arranged above the bucket wheel machine conveyer belt (2);
the processing unit is used for processing the information acquired by the acquisition device (1) and is connected with the acquisition device (1);
the alarm unit is connected with the processing unit;
the communication unit is connected with the processing unit;
and the power supply unit is connected with the processing unit.
7. The bucket wheel conveyor belt tear failure detection device of claim 6, wherein the collection device (1) includes:
the camera (11) is arranged at a use place and is arranged on the bucket wheel machine conveying belt (2);
an auxiliary light source (12) disposed adjacent to the camera (11).
8. The bucket wheel conveyor belt tear fault detection device of claim 6, wherein the processing unit is an embedded processing terminal.
9. The bucket wheel conveyor belt tear fault detection device of claim 8, wherein the embedded processing terminal comprises:
the device comprises an embedded processor, a memory, a network card, a display screen and a sound card, wherein the embedded processor is respectively connected with the memory, the network card, the display screen and the sound card.
10. The bucket wheel conveyor belt tear fault detection device of claim 6, wherein the alarm device is an LED indicator light and a speaker.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911397726.2A CN113120634A (en) | 2019-12-30 | 2019-12-30 | Bucket wheel machine conveyer belt tearing image processing method and fault detection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911397726.2A CN113120634A (en) | 2019-12-30 | 2019-12-30 | Bucket wheel machine conveyer belt tearing image processing method and fault detection device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113120634A true CN113120634A (en) | 2021-07-16 |
Family
ID=76768002
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911397726.2A Pending CN113120634A (en) | 2019-12-30 | 2019-12-30 | Bucket wheel machine conveyer belt tearing image processing method and fault detection device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113120634A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113485238A (en) * | 2021-08-17 | 2021-10-08 | 华能沾化热电有限公司 | Bucket wheel machine fault online diagnosis system and device |
-
2019
- 2019-12-30 CN CN201911397726.2A patent/CN113120634A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113485238A (en) * | 2021-08-17 | 2021-10-08 | 华能沾化热电有限公司 | Bucket wheel machine fault online diagnosis system and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107176432A (en) | A kind of anchor pole foreign matter and belt tearing detecting system based on machine vision | |
| CN104535356B (en) | A kind of roller steel wire rope rope fault monitoring method and system based on machine vision | |
| CN111965246B (en) | Scraper machine fault detection method and system based on multi-information fusion | |
| CN103101741B (en) | The implementation method of laser vision conveyer belt damage detection means | |
| CN110040469B (en) | System and method for monitoring tension of chain of scraper conveyor | |
| CN102275723A (en) | Machine-vision-based online monitoring system and method for conveyer belt | |
| CN102937599A (en) | Non-destructive testing systems and method used for detecting a metal-containing object through X-ray detection | |
| CN202272472U (en) | System used for monitoring large coal on coal conveyer belt of coal conveying system | |
| CN106276132A (en) | A kind of conveyer belt longitudinal tear online test method based on line laser image | |
| CN103213823B (en) | Visual inspection and pre-warning system for longitudinal tear of conveying belt and application method of conveying belt | |
| CN104773626A (en) | Safety state detection device for bolt of standard section of construction hoist | |
| US20160187182A1 (en) | Payload monitoring system for haul vehicle | |
| CN113120634A (en) | Bucket wheel machine conveyer belt tearing image processing method and fault detection device | |
| CN113844858A (en) | Conveying belt tearing detection system and method based on laser detection principle | |
| CN111764456A (en) | Intelligent monitoring and alarming device and method for dropping of bucket teeth of forklift | |
| CN206720381U (en) | A kind of unattended bridge ship loader-unloader | |
| CN113777611B (en) | Shuttle mine car positioning monitoring system based on ultrasonic technology | |
| CN105129370A (en) | Method for detecting longitudinal tearing of belt conveyor | |
| CN112744540A (en) | Conveying belt tearing monitoring device, conveying line with tearing monitoring device and monitoring method of conveying line | |
| CN211870789U (en) | Bucket wheel machine conveyer belt tears fault detection device | |
| CN113029951B (en) | Method and device for detecting multi-spectrum audio-visual frequency modulation fusion of damage of conveyor belt | |
| CN214398635U (en) | Conveyer belt tears monitoring devices and has transfer chain that tears monitoring devices | |
| CN115892912A (en) | Anti-tearing comprehensive monitoring device for belt conveyor | |
| CN115201213A (en) | Passenger ropeway steel wire rope detection device and method | |
| CN105690260A (en) | Building stone continuous polishing and grinding process online detection system based on displacement sensing technology |
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 |