CN110895249A - Cable joint identification system and method - Google Patents
Cable joint identification system and method Download PDFInfo
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- CN110895249A CN110895249A CN201911172669.8A CN201911172669A CN110895249A CN 110895249 A CN110895249 A CN 110895249A CN 201911172669 A CN201911172669 A CN 201911172669A CN 110895249 A CN110895249 A CN 110895249A
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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Abstract
The invention relates to a system and a method for identifying defects of a cable joint, wherein the system for identifying the cable joint comprises the following components: the image acquisition device is used for acquiring an image of the cable joint; the image processing device is connected with the image acquisition device and is used for receiving the image acquired by the image acquisition device and processing the image so as to identify the defects of the cable joint and classify the defects; and the display device is connected with the image processing device and is used for displaying the defect image and the corresponding defect type and giving an alarm. According to the cable joint defect identification system and method, the image acquisition device is adopted to acquire the image of the cable joint, the image processing device is used to process the image of the cable joint, the image is compared with the image of the standard cable joint, the defect of the cable joint is identified and displayed in the display device, so that the defect is conveniently processed by workers, the low yield of manual detection is avoided, and the detection precision and the detection reliability are improved.
Description
Technical Field
The invention relates to the technical field of power cables, in particular to a cable joint identification system and method.
Background
With the development of social economy, the demand of production and living for electric power is increasing, and the electric power cable becomes an important electric transmission line of an electric power system. To facilitate long distance transmission, a plurality of power cables are usually connected by intermediate connectors to form a continuous circuit
If the intermediate connector is defective during the cable laying process, the circuit will be failed, and therefore, the defect detection of the intermediate connector is necessary. In the conventional technology, the defects of the intermediate joints are usually detected through manual detection, but the manual detection has low yield and low reliability, so that the reliability of the detection of the intermediate joints needs to be improved.
Disclosure of Invention
Accordingly, it is desirable to provide a cable connector identification system and method for solving the problem of low yield and low reliability of manual detection.
A cable splice defect identification system, comprising:
the image acquisition device is used for acquiring an image of the cable joint;
the image processing device is connected with the image acquisition device and is used for receiving the image acquired by the image acquisition device and processing the image so as to identify the defects of the cable joint and classify the defects;
and the display device is connected with the image processing device and is used for displaying the defect image and the corresponding defect type and giving an alarm.
In one embodiment, the image acquisition device comprises a support structure, the support structure comprises a containing cavity for containing the cable connector, and at least one acquisition element is arranged on the inner wall of the containing cavity and used for acquiring the image of the cable connector.
In one embodiment, the capture element comprises a CCD camera.
In one embodiment, the image acquisition device further comprises an illumination device arranged on the inner wall of the accommodating cavity.
In one embodiment, the image processing device comprises a processing module, a storage module and a communication module, wherein the storage module stores a standard image model database, and the processing module is in communication connection with the CCD camera through the communication module, and is used for receiving and processing the image acquired by the CCD camera, and comparing the image with a standard image model to judge whether the cable joint has defects.
In one embodiment, the image processing apparatus further includes a power supply and a switch control module, and the switch control module is configured to control the power supply to supply power to the image processing apparatus.
A cable joint defect identification method comprises the following steps:
acquiring an image of the cable joint;
receiving an image of the cable joint and comparing the image with a standard image model to identify whether the cable joint is defective and classifying the defect;
and displaying the defect image and the corresponding defect type.
In one embodiment, the acquiring the image of the cable joint comprises:
controlling the lighting device to be turned on;
and acquiring an image of the cable joint by using a CCD camera.
In one embodiment, the receiving an image of the cable joint and comparing with the standard image model in the standard image model database comprises:
receiving an image of the cable joint;
comparing the image to the standard image model database to identify the presence of defects and to classify the identified defect images.
In one embodiment, the method further comprises the following steps:
and if the defect exists, displaying the defect image and the corresponding defect type and sending out warning information.
According to the cable joint defect identification system and method, the image acquisition device is adopted to acquire the image of the cable joint, the image processing device is used to process the image of the cable joint, the image is compared with the image of the standard cable joint, the defect of the cable joint is identified and displayed in the display device, so that the defect is conveniently processed by workers, the low yield of manual detection is avoided, and the detection precision and the detection reliability are improved.
Drawings
FIG. 1 is a block diagram of a cable splice defect identification system provided in accordance with an embodiment of the present application;
fig. 2 is a flowchart of a cable joint defect identification method according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention can be embodied in many different forms than those herein described and one skilled in the art can make similar modifications without departing from the spirit of the invention and it is therefore not limited to the specific embodiments disclosed below.
It will be understood that when an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only and do not denote a unique embodiment.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Referring to fig. 1, an embodiment of the present application provides a cable joint defect identification system for identifying a defect of a cable joint in a cable construction process, which includes an image acquisition device 100, an image processing device 200 and a display device 300.
The image capturing device 100 is configured to capture an image of the cable joint and send the image to the image processing device 200. The image processing apparatus 200 is configured to receive the image of the cable joint, process the image of the cable joint, identify a defect in the image, and classify the defect. In this embodiment, the defects of the cable joint may include a defect in a size of the cable joint, a defect in a notch burr of the cable joint, a defect in damage to an outer sheath, a shielding layer, a semi-conductive layer, an insulating layer, and a conductor of the cable joint. The image processing apparatus 200 may classify the defect after recognizing the defect in the image. The image processing apparatus 200 may be integrated with the image capturing apparatus 100, or may be provided separately from the image capturing apparatus 100. The display device 300 is used for displaying a defect image and a corresponding defect type for processing by a user.
In the above embodiment, the image of the cable joint is acquired by the image acquisition device, the image of the cable joint is processed by the image processing device, and compared with the image of the standard cable joint, the defect of the cable joint is identified and displayed in the display device, so that the processing of workers is facilitated, the low yield of manual detection is avoided, and the detection precision and the detection reliability are improved.
In one embodiment, the image capturing device 100 includes a support structure defining a receiving cavity for receiving a cable connector. At least one collecting element is arranged on the inner wall of the accommodating cavity. When the cable connector is placed in the accommodating cavity, the acquisition element is used for acquiring an image of the cable connector. In this embodiment, the collecting element may be a CCD (Charge-coupled Device) camera. The CCD cameras are distributed on the inner wall of the accommodating cavity in an array mode, and structural images of the cable connector are comprehensively acquired from multiple directions. The CCD camera has small volume and high precision, can accurately acquire the image of the cable joint and improve the reliability of defect identification.
Further, in order to obtain a clear image, the image acquisition device 100 further comprises an illumination device, the illumination device is arranged on the inner wall of the accommodating cavity and can be adjacent to the CCD camera, so that the lighting of the CCD camera is improved, the image definition is further improved, and the image processing device 200 is convenient to identify defects.
In one embodiment, with continued reference to fig. 1, the image processing apparatus 200 includes a processing module 210, a storage module 220, and a communication module 230. The storage module 220 stores a standard image model database, where the standard image model is an image of the cable joint without defects, and can be used to compare the model with an image of the cable joint to be tested to determine whether the cable joint to be tested has defects. The processing module 210 is connected to the CCD camera through the communication module 230, and is configured to receive an image of the cable joint to be detected, which is captured by the CCD camera, through the communication module 230, process the received image, and determine whether the cable joint has a defect by comparing the processed image with a standard image model.
Specifically, a CCD camera array may be used to collect a large number of images of the standard cable connector, and a standard image model database may be established and stored in the storage module 220. The CCD camera array is then used to capture an image of the cable joint to be detected and sent to the processing module 210. The processing module 210 performs image preprocessing, image segmentation, mathematical morphology processing, edge detection, image recognition detection, and the like on the image, compares the processed image with a standard image in a standard image model database, determines whether the cable joint to be detected has a defect, and classifies the detected defect. In this embodiment, the processing module 210 may detect the size of the cable joint to be tested, whether the notch of the cable joint to be tested is neat, and whether the outer sheath, the shielding layer, the semi-conducting layer, the insulating layer, and the conductor of the cable joint to be tested are damaged. If there are uneven circumstances such as closed angle and burr in the incision in the stripping and cutting process, then the distortion intensity that the electric field takes place can greatly increased, will lead to partial discharge to puncture, damage cable circuit. If the outer sheath, the shielding layer, the semi-conducting layer, the insulating layer and the conductor of the cable are damaged, the intensity distribution of a conductive electric field is locally distorted, and the aging of the cable is accelerated in the running process of the cable. Therefore, if there is a defect, the display device 300 displays a defect image and a corresponding defect type and issues warning information for a worker to handle in time.
The image processing apparatus 200 further comprises a power supply 240 and a switch control module 250, wherein the switch control module 250 is configured to control the power supply 240 to supply power to the image processing apparatus. When the image processing device is powered on, the image processing device searches the display device and establishes connection with the corresponding display device. Meanwhile, the cable joint to be tested is placed in the supporting structure, the lighting device is turned on when the supporting structure is closed, and meanwhile, a user can control the CCD camera to collect images of the cable joint to be tested through an operation interface on the display device 300. The image processing apparatus 200 receives the captured image, processes the image, identifies whether a defect exists, and classifies the defect according to the identified defect if the defect exists. The display device 300 displays a defect image and a corresponding defect type.
In the cable joint defect identification method provided by the embodiment, the image acquisition device 100 is used for acquiring the image of the cable joint to be detected in the construction process, and the image processing device 200 is used for detecting and identifying whether the cable to be detected has defects or not, so that the quality of the cable joint in the cable construction process can be improved, cable accidents caused by the defects of the cable joint in the construction process in the later period can be reduced, and the safety of cable operation can be improved.
As shown in fig. 2, another embodiment of the present application provides a cable joint defect identification method for identifying a defect of a cable joint during a cable construction process. The cable joint defect identification method comprises the following steps:
s100: images of the cable joint are collected.
In this embodiment, an image of the cable joint is acquired by using an image acquisition device. The image acquisition device comprises a CCD camera array and an illuminating device. The CCD camera array can acquire images of the cable joint from different angles.
S200: and receiving the image of the cable joint, easily identifying whether the cable joint has defects compared with a standard image model, and classifying the defects.
And the image processing device receives and processes the image acquired by the CCD camera array, compares the image with a standard image model in a standard image model database and identifies whether a defect exists. The image processing apparatus also classifies the identified defect if the defect exists. The defects of the cable joint can comprise size defects of the cable joint, notch burr defects of the cable joint, and damaged defects of an outer sheath, a shielding layer, a semi-conducting layer, an insulating layer and a conductor of the cable joint.
S300: and displaying the defect image and the corresponding defect type.
If the defect exists, the display device displays the defect image and the defect type corresponding to the defect image so as to be convenient for a worker to process.
In the embodiment, the image of the cable joint is collected, the image of the cable joint is processed and compared with the image of the standard cable joint, the defects of the cable joint and the corresponding defect types are identified and displayed in the display device, so that the processing of workers is facilitated, the low yield of manual detection is avoided, and the detection precision and the detection reliability are improved.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A cable splice defect identification system, comprising:
the image acquisition device is used for acquiring an image of the cable joint;
the image processing device is connected with the image acquisition device and is used for receiving the image acquired by the image acquisition device and processing the image so as to identify the defects of the cable joint and classify the defects;
and the display device is connected with the image processing device and is used for displaying the defect image and the corresponding defect type and giving an alarm.
2. The cable joint defect identification system of claim 1, wherein the image capturing device comprises a support structure, the support structure comprises a receiving cavity for receiving the cable joint, and at least one capturing element is disposed on an inner wall of the receiving cavity for capturing an image of the cable joint.
3. The cable splice defect identification system of claim 2, wherein said collection element comprises a CCD camera.
4. The system of claim 3, wherein the image capturing device further comprises an illuminating device disposed on an inner wall of the accommodating cavity.
5. The system for identifying the defect of the cable joint as claimed in claim 4, wherein the image processing device comprises a processing module, a storage module and a communication module, the storage module stores a database of standard image models, and the processing module is in communication connection with the CCD camera through the communication module and is used for receiving the image collected by the CCD camera, processing the image and comparing the image with the standard image model to judge whether the defect exists in the cable joint.
6. The system of claim 5, wherein the image processing device further comprises a power source and a switch control module, the switch control module being configured to control the power source to supply power to the image processing device.
7. A cable joint defect identification method is characterized by comprising the following steps:
acquiring an image of the cable joint;
receiving an image of the cable joint and comparing the image with a standard image model to identify whether the cable joint has defects or not and classifying the defects;
and displaying the defect image and the corresponding defect type.
8. The method of claim 7, wherein the capturing the image of the cable joint comprises:
controlling the lighting device to be turned on;
and acquiring an image of the cable joint by using a CCD camera.
9. The method of claim 8, wherein the receiving an image of the cable joint and comparing with standard image models in the database of standard image models comprises:
receiving an image of the cable joint;
comparing the image to the standard image model database to identify the presence of defects and to classify the identified defect images.
10. The method of identifying a cable splice defect of claim 9, further comprising:
and if the defect exists, displaying the defect image and the corresponding defect type and sending out warning information.
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| CN201911172669.8A CN110895249A (en) | 2019-11-26 | 2019-11-26 | Cable joint identification system and method |
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| CN201911172669.8A CN110895249A (en) | 2019-11-26 | 2019-11-26 | Cable joint identification system and method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111812545A (en) * | 2020-07-07 | 2020-10-23 | 苏州精濑光电有限公司 | Line defect detection method, device, equipment and medium |
| CN113358661A (en) * | 2021-06-10 | 2021-09-07 | 广东电网有限责任公司广州供电局 | Quality detection method for high-voltage cable intermediate joint |
| CN113567433A (en) * | 2021-06-09 | 2021-10-29 | 中车青岛四方机车车辆股份有限公司 | Method and device for detecting adhesive joint |
| CN114062369A (en) * | 2021-11-12 | 2022-02-18 | 佛山光之瞳电子科技有限公司 | Detection equipment and detection method for manufacturing quality of power cable connector |
| CN115085094A (en) * | 2022-08-18 | 2022-09-20 | 广东威恒输变电工程有限公司 | Data processing method for controlling cable laying |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477066A (en) * | 2009-01-09 | 2009-07-08 | 华南理工大学 | Circuit board element mounting/welding quality detection method and system based on super-resolution image reconstruction |
| CN105718964A (en) * | 2014-12-02 | 2016-06-29 | 中国科学院沈阳自动化研究所 | Transmission line vibration damper visual detection method |
| CN106646137A (en) * | 2016-12-28 | 2017-05-10 | 国网通用航空有限公司 | Method of detecting defect of power transmission line, defect detecting device, and defect detecting system |
| CN108181560A (en) * | 2018-01-17 | 2018-06-19 | 苏州锵创智能设备有限公司 | A kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method |
| WO2018147478A1 (en) * | 2017-02-08 | 2018-08-16 | 인제대학교 산학협력단 | Device and method for testing terminal crimping of wire harness cable by utilizing machine vision, and method for operating same |
| CN109187576A (en) * | 2018-08-29 | 2019-01-11 | 天津市森特奈电子有限公司 | Fixing seat is used in a kind of terminal test of view-based access control model imaging |
| CN109596634A (en) * | 2018-12-30 | 2019-04-09 | 国网北京市电力公司 | The detection method and device of electric cable stoppage, storage medium, processor |
| CN110119680A (en) * | 2019-04-03 | 2019-08-13 | 上海工程技术大学 | A kind of electrical cabinet wiring automatic errordetecting system based on image recognition |
-
2019
- 2019-11-26 CN CN201911172669.8A patent/CN110895249A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477066A (en) * | 2009-01-09 | 2009-07-08 | 华南理工大学 | Circuit board element mounting/welding quality detection method and system based on super-resolution image reconstruction |
| CN105718964A (en) * | 2014-12-02 | 2016-06-29 | 中国科学院沈阳自动化研究所 | Transmission line vibration damper visual detection method |
| CN106646137A (en) * | 2016-12-28 | 2017-05-10 | 国网通用航空有限公司 | Method of detecting defect of power transmission line, defect detecting device, and defect detecting system |
| WO2018147478A1 (en) * | 2017-02-08 | 2018-08-16 | 인제대학교 산학협력단 | Device and method for testing terminal crimping of wire harness cable by utilizing machine vision, and method for operating same |
| CN108181560A (en) * | 2018-01-17 | 2018-06-19 | 苏州锵创智能设备有限公司 | A kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method |
| CN109187576A (en) * | 2018-08-29 | 2019-01-11 | 天津市森特奈电子有限公司 | Fixing seat is used in a kind of terminal test of view-based access control model imaging |
| CN109596634A (en) * | 2018-12-30 | 2019-04-09 | 国网北京市电力公司 | The detection method and device of electric cable stoppage, storage medium, processor |
| CN110119680A (en) * | 2019-04-03 | 2019-08-13 | 上海工程技术大学 | A kind of electrical cabinet wiring automatic errordetecting system based on image recognition |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111812545A (en) * | 2020-07-07 | 2020-10-23 | 苏州精濑光电有限公司 | Line defect detection method, device, equipment and medium |
| CN113567433A (en) * | 2021-06-09 | 2021-10-29 | 中车青岛四方机车车辆股份有限公司 | Method and device for detecting adhesive joint |
| CN113358661A (en) * | 2021-06-10 | 2021-09-07 | 广东电网有限责任公司广州供电局 | Quality detection method for high-voltage cable intermediate joint |
| CN114062369A (en) * | 2021-11-12 | 2022-02-18 | 佛山光之瞳电子科技有限公司 | Detection equipment and detection method for manufacturing quality of power cable connector |
| CN115085094A (en) * | 2022-08-18 | 2022-09-20 | 广东威恒输变电工程有限公司 | Data processing method for controlling cable laying |
| CN115085094B (en) * | 2022-08-18 | 2022-11-22 | 广东威恒输变电工程有限公司 | Data processing method for controlling cable laying |
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