CN112164045A - Comprehensive detection system for cable production - Google Patents
Comprehensive detection system for cable production Download PDFInfo
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- CN112164045A CN112164045A CN202011017552.5A CN202011017552A CN112164045A CN 112164045 A CN112164045 A CN 112164045A CN 202011017552 A CN202011017552 A CN 202011017552A CN 112164045 A CN112164045 A CN 112164045A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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Abstract
The invention relates to cable production detection, in particular to a comprehensive detection system for cable production, which comprises a controller, a standard range setting module and an error range setting module, wherein the standard range setting module is used for setting a standard range of production data, the error range setting module is used for setting an allowable error range of the production data, the controller is connected with a standard data acquisition module which is used for acquiring standard production data according to the standard range, the controller is connected with an error data acquisition module which is used for acquiring error production data according to the error range, the standard data acquisition module and the error data acquisition module are connected with a detection model fitting module which is used for fitting a detection model according to the standard production data and the error production data, and the controller is connected with the production data acquisition module; the technical scheme provided by the invention can effectively overcome the defects that cable production data cannot be effectively monitored and cable classification is easy to make mistakes in the prior art.
Description
Technical Field
The invention relates to cable production detection, in particular to a comprehensive detection system for cable production.
Background
With the continuous speed increase of city construction, expensive routing capital and the overall requirement of city appearance do not allow large-scale overhead transmission lines to be built, more and more existing overhead transmission lines are changed into cable lines with good tolerance and high reliability, and the occupation ratio of the cable lines in a city power grid is larger and larger. High-voltage transmission cables of 35 kv and above are often responsible for the transmission of electric energy from substations and users, and once an accident occurs in a high-voltage cable line, huge losses are caused to the life of residents and industrial production.
The possibility of faults or accidents of the cable in the actual use process is reduced, and the production data of the cable needs to be strictly monitored in the production process of the cable so as to ensure the production quality of the cable. When the cables are transported, the produced cables need to be accurately and efficiently classified, and in the prior art, the cable category is generally judged by human experience, so that the cables are conveyed wrongly, and further safety accidents are caused.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a comprehensive detection system for cable production, which can effectively overcome the defects that cable production data cannot be effectively monitored and cable classification is easy to make mistakes in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a comprehensive detection system for cable production comprises a controller, a standard range setting module and an error range setting module, wherein the standard range setting module is used for setting a standard range of production data, the error range setting module is used for setting an allowable error range of the production data, the controller is connected with a standard data acquisition module used for acquiring standard production data according to the standard range, the controller is connected with an error data acquisition module used for acquiring error production data according to the error range, the standard data acquisition module and the error data acquisition module are connected with a detection model fitting module used for fitting a detection model according to the standard production data and the error production data, the controller is connected with the production data acquisition module, and the controller is connected with a detection result judgment module used for detecting whether the production data are abnormal data or not;
the cable image acquisition module is used for acquiring cable images and cable section images, the controller is connected with the template data storage module used for storing various template cable data, the controller is connected with the first image processing module used for carrying out scale transformation on the cable images, the first image processing module is connected with the cable area identification module used for identifying cable areas from the cable images after blunt transformation, and the cable area identification module is connected with the first data calculation module used for calculating the difference value of the gray level histogram between the cable areas and the template cable data;
the controller is connected with a conductor region identification module used for identifying a conductor region from a cable section image, the conductor region identification module is connected with a second image processing module used for reserving a light reflection region in the conductor region, the second image processing module is connected with a feature matrix construction module used for constructing a feature matrix related to the conductor area according to the light reflection region, the feature matrix construction module is connected with a second data calculation module used for calculating a difference value between the conductor area feature matrix and template cable data, and the controller is connected with a cable type judgment module used for judging the type of a cable to be detected according to calculation results of the first data calculation module and the second data calculation module.
Preferably, the detection model fitting module fits and generates a detection model based on gaussian distribution according to standard production data and error production data.
Preferably, the detection result judgment module sets the normal data judgment range according to the proportion of the standard production data within the standard range and the proportion of the error production data within the error range in the detection model based on the gaussian distribution.
Preferably, the detection result judging module judges whether the production data collected by the production data collecting module is within a normal data judging range;
if the production data are within the normal data judgment range, judging the production data to be normal data, otherwise, judging the data to be abnormal data.
Preferably, the production data comprises wire drawing length, wire drawing diameter, wire drawing tension, wire drawing speed, cabling diameter, wrapping rotating speed and wrapping distance.
Preferably, the first image processing module scales the cable images to ensure that the pixel distances of all the cable images represent the same actual distance.
Preferably, the cable region identification module finds a sheath region of the cable by using an adaptive threshold inverse binarization algorithm for the cable image, fills holes in the image according to the characteristic of cable sheath closure to obtain a cable region, and obtains a gray level histogram of the cable region.
Preferably, the conductor region identification module performs binarization processing on the cable section image, screens out connected regions with the area larger than one half of the minimum external rectangular area of the connected regions and one fifth of the maximum connected region area in the binary image, and the screened connected regions are the conductor regions.
Preferably, the second image processing module calculates a brightness average value of each hole in the conductor region, and fills the holes with the brightness average value larger than the color average value, where the filled holes are the light reflecting regions.
(III) advantageous effects
Compared with the prior art, the comprehensive detection system for cable production provided by the invention can effectively monitor cable production data by adopting a detection model based on Gaussian distribution, discover abnormal data in time and ensure the production quality of cables; through the collection of cable images, the difference value of the gray level histogram between the cable area and the template cable data and the difference value between the conductor area characteristic matrix and the template cable data are comprehensively judged, so that the cables can be accurately and efficiently identified and classified, and errors in storage and transportation are prevented.
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 invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all 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.
A comprehensive detection system for cable production is disclosed, as shown in figure 1, comprising a controller, a standard range setting module for setting a standard range of production data, and an error range setting module for setting an allowable error range of the production data, wherein the controller is connected with a standard data acquisition module for acquiring standard production data according to the standard range, the controller is connected with an error data acquisition module for acquiring error production data according to the error range, the standard data acquisition module, the error data acquisition module is connected with a detection model fitting module for fitting a detection model according to the standard production data and the error production data, the controller is connected with the production data acquisition module, and the controller is connected with a detection result judgment module for detecting whether the production data is abnormal data.
The production data comprises wire drawing length, wire drawing diameter, wire drawing tension, wire drawing speed, cabling diameter, wrapping rotating speed and wrapping distance.
And the detection model fitting module is used for fitting and generating a detection model based on Gaussian distribution according to the standard production data and the error production data.
The detection result judging module sets a normal data judging range according to the proportion of the standard production data within the standard range and the proportion of the error production data within the error range in the detection model based on the Gaussian distribution.
The detection result judging module judges whether the production data acquired by the production data acquiring module is within a normal data judging range;
if the production data are within the normal data judgment range, judging the production data to be normal data, otherwise, judging the data to be abnormal data.
The following details the monitoring of the cable production data, taking the cabling diameter as an example:
the standard range of the cable diameter is set to be 4-5cm, the allowable error range is set to be 3.9-4cm and 5-5.1cm (excluding 4cm and 5cm), the standard data acquisition module acquires cable diameter data which accord with 4-5cm according to the standard range of the cable diameter, the error data acquisition module acquires cable diameter data which accord with 3.9-4cm and 5-5.1cm (excluding 4cm and 5cm) according to the allowable error range, and the detection model fitting module fits the number of the two acquired data to generate a detection model based on Gaussian distribution.
According to a detection model based on Gaussian distribution, if the probability that the diameter of the cable falls within the standard range of 4-5cm is 95%, and the probability that the diameter of the cable falls within the allowable error range of 3.9-4cm and 5-5.1cm (excluding 4cm and 5cm) is 3%, the detection result judgment module sets the normal data judgment range to be 3.98-5.02cm, namely the diameter of the cable falling within 3.98-5.02cm is normal data, otherwise the diameter is abnormal data.
The cable image acquisition device is characterized by further comprising a cable image acquisition module for acquiring cable images and cable section images, the controller is connected with a template data storage module for storing various template cable data, the controller is connected with a first image processing module for carrying out scale transformation on the cable images, the first image processing module is connected with a cable area identification module for identifying cable areas from the cable images after blunt transformation, and the cable area identification module is connected with a first data calculation module for calculating a difference value of a gray level histogram between the cable areas and the template cable data.
The first image processing module zooms the cable images to ensure that the pixel distances of all the cable images represent the same actual distance.
The cable region identification module finds a sheath region of the cable by using an anti-binarization algorithm of a self-adaptive threshold value for the cable image, fills holes in the image according to the characteristic of cable sheath closure to obtain a cable region, and obtains a gray level histogram of the cable region.
The controller is connected with a conductor region identification module used for identifying a conductor region from a cable section image, the conductor region identification module is connected with a second image processing module used for reserving a reflection region in the conductor region, the second image processing module is connected with a feature matrix construction module used for constructing a feature matrix related to the conductor area according to the reflection region, the feature matrix construction module is connected with a second data calculation module used for calculating a difference value between the conductor area feature matrix and template cable data, and the controller is connected with a cable type judgment module used for judging the type of a cable to be detected according to calculation results of the first data calculation module and the second data calculation module.
And the conductor region identification module is used for carrying out binarization processing on the cable section image, screening out a connected region of which the area is more than one half of the minimum external rectangular area of the connected region and more than one fifth of the maximum connected region area from the binary image, and taking the screened connected region as a conductor region.
And the second image processing module calculates the brightness mean value of each hole in the conductor area, fills the holes with the brightness mean value larger than the color mean value brightness, and the filled holes are the light reflecting areas.
Through the collection of cable images, the difference value of the gray level histogram between the cable area and the template cable data and the difference value between the conductor area characteristic matrix and the template cable data are comprehensively judged, so that the cables can be accurately and efficiently identified and classified, and errors in storage and transportation are prevented.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (9)
1. A comprehensive detection system for cable manufacture, its characterized in that: the production data detection system comprises a controller, a standard range setting module and an error range setting module, wherein the standard range setting module is used for setting a standard range of production data, the error range setting module is used for setting an allowable error range of the production data, the controller is connected with a standard data acquisition module which is used for acquiring standard production data according to the standard range, the controller is connected with an error data acquisition module which is used for acquiring error production data according to the error range, the standard data acquisition module and the error data acquisition module are connected with a detection model fitting module which is used for fitting a detection model according to the standard production data and the error production data, the controller is connected with the production data acquisition module, and the controller is connected with a detection result judgment module which is used for detecting whether the production data are abnormal data or;
the cable image acquisition module is used for acquiring cable images and cable section images, the controller is connected with the template data storage module used for storing various template cable data, the controller is connected with the first image processing module used for carrying out scale transformation on the cable images, the first image processing module is connected with the cable area identification module used for identifying cable areas from the cable images after blunt transformation, and the cable area identification module is connected with the first data calculation module used for calculating the difference value of the gray level histogram between the cable areas and the template cable data;
the controller is connected with a conductor region identification module used for identifying a conductor region from a cable section image, the conductor region identification module is connected with a second image processing module used for reserving a light reflection region in the conductor region, the second image processing module is connected with a feature matrix construction module used for constructing a feature matrix related to the conductor area according to the light reflection region, the feature matrix construction module is connected with a second data calculation module used for calculating a difference value between the conductor area feature matrix and template cable data, and the controller is connected with a cable type judgment module used for judging the type of a cable to be detected according to calculation results of the first data calculation module and the second data calculation module.
2. The integrated detection system for cable production according to claim 1, characterized in that: and the detection model fitting module is used for fitting and generating a detection model based on Gaussian distribution according to the standard production data and the error production data.
3. Comprehensive test system for cable production according to claim 2, characterized in that: the detection result judging module sets a normal data judging range according to the proportion of standard production data within a standard range and the proportion of error production data within an error range in the detection model based on Gaussian distribution.
4. A comprehensive test system for cable production according to claim 3, characterized in that: the detection result judging module judges whether the production data acquired by the production data acquiring module is within a normal data judging range;
if the production data are within the normal data judgment range, judging the production data to be normal data, otherwise, judging the data to be abnormal data.
5. Comprehensive test system for cable production according to claim 1 or 4, characterized in that: the production data comprises wire drawing length, wire drawing diameter, wire drawing tension, wire drawing speed, cabling diameter, wrapping rotating speed and wrapping distance.
6. The integrated detection system for cable production according to claim 1, characterized in that: the first image processing module zooms the cable images to ensure that the pixel distances of all the cable images represent the same actual distance.
7. The integrated detection system for cable production according to claim 1, characterized in that: the cable region identification module finds a sheath region of the cable by using an anti-binarization algorithm of a self-adaptive threshold value for the cable image, fills holes in the image according to the characteristic of cable sheath closure to obtain a cable region, and obtains a gray level histogram of the cable region.
8. The integrated detection system for cable production according to claim 1, characterized in that: the conductor region identification module is used for carrying out binarization processing on the cable section image, screening out a connected region of which the area is more than one half of the minimum external rectangular area of the connected region and more than one fifth of the maximum connected region area from the binary image, and obtaining the screened connected region as a conductor region.
9. The integrated detection system for cable production according to claim 1, characterized in that: and the second image processing module calculates the brightness mean value of each hole in the conductor area, fills the holes with the brightness mean value larger than the color mean value, and the filled holes are the light reflecting areas.
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| CN202011017552.5A CN112164045A (en) | 2020-09-24 | 2020-09-24 | Comprehensive detection system for cable production |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114678174A (en) * | 2022-05-30 | 2022-06-28 | 广州南洋电缆集团有限公司 | Low-heat-release fireproof wire and cable intelligent production system |
| CN117593285A (en) * | 2023-12-14 | 2024-02-23 | 江苏恒兆电缆有限公司 | Quality detection system and method for flexible mineral insulation flexible fireproof cable |
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2020
- 2020-09-24 CN CN202011017552.5A patent/CN112164045A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114678174A (en) * | 2022-05-30 | 2022-06-28 | 广州南洋电缆集团有限公司 | Low-heat-release fireproof wire and cable intelligent production system |
| CN117593285A (en) * | 2023-12-14 | 2024-02-23 | 江苏恒兆电缆有限公司 | Quality detection system and method for flexible mineral insulation flexible fireproof cable |
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