CN117593285A - Quality detection system and method for flexible mineral insulation flexible fireproof cable - Google Patents
Quality detection system and method for flexible mineral insulation flexible fireproof cable Download PDFInfo
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Abstract
The invention relates to the technical field of cables, in particular to a quality detection system and a quality detection method of a flexible mineral insulation flexible fireproof cable, wherein the quality detection system comprises a matching layer, a comparison layer and a judgment layer; the invention collects the image data of the cable through the matching layer, completes the segmentation of the cable image in the matching layer to obtain sub-cable images, carries out the mutual matching of image comparison targets on the obtained sub-cable images, and receives the matched sub-cable images in real time.
Description
Technical Field
The invention relates to the technical field of cables, in particular to a quality detection system and method for a flexible mineral insulation flexible fireproof cable.
Background
A flexible fire-resistant cable is a cable with fire-resistant properties that is commonly used in locations where high fire protection is required, such as high-rise buildings, underground shops, tunnels, etc. The cable is different from a common cable in that a layer of mica tape is wound outside the conductor, and the mica tape has good high temperature resistance and fireproof performance and can protect the cable from being damaged when a fire disaster occurs.
The invention patent with the application number of 202310050627.7 discloses an early warning cable detection system, which is characterized by comprising a node association unit, a data acquisition unit, an early warning analysis unit, a history database, an early warning unit and a processor: the node association unit is in communication connection with the processor, the node association unit is also in communication connection with the history database, the early warning analysis unit is in communication connection with the processor, the data acquisition unit is in communication connection with the processor, and the early warning unit is in communication connection with the processor; the node association unit is used for carrying out node association according to the relation among the nodes, acquiring a first-level association point, a second-level association point and a third-level association point corresponding to each node according to the association result, and uploading the first-level association point, the second-level association point and the third-level association point corresponding to each node to the processor; the processor uploads the primary association point, the secondary association point and the tertiary association point corresponding to each node to the history database: the data acquisition unit is used for acquiring the temperature and the current of each node once every preset time T1, respectively marking the acquired temperature and the acquired current of each node and uploading the marked temperature and the marked current of each node to the processor, and uploading the received temperature and the current of each node to the historical database by the processor: the early warning analysis unit is used for detecting the data along the way according to the association result and the temperature and current information of the nodes transmitted by the data acquisition unit, acquiring abnormal nodes and positioning the abnormal trend of the cable; and the early warning analysis unit uploads the abnormal trend of the abnormal node and the positioned cable to the processor.
The application aims at solving the problems: the prior art lacks the accuracy of early warning of potential operational faults of the cable itself and the cable network.
However, for flexible fire-resistant cables, the integrity of the mica tape wound on the surface is key to the fire performance of the flexible fire-resistant cable;
however, there is no system for quality detection of the surface of the flexible fireproof cable, which results in that the quality detection of the surface of the flexible fireproof cable is mostly dependent on manual detection, and the detection efficiency and accuracy are relatively poor.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a quality detection system and a quality detection method for a flexible mineral insulated flexible fireproof cable, and solves the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
in a first aspect, a quality detection system for a flexible mineral insulated flexible fireproof cable includes a matching layer, a comparison layer, and a determination layer;
the method comprises the steps that image data of a cable are collected through a matching layer, cable image segmentation is completed in the matching layer to obtain sub-cable images, the obtained sub-cable images are subjected to mutual matching of image comparison targets, the matching layer receives the matched sub-cable images in real time, image information uniformity and similarity analysis are carried out on each group of matched sub-cable images, a judging layer receives image information uniformity and similarity recognition results of the matched sub-cable images in the matching layer, and whether a cable from the sub-cable image is qualified or not is judged based on the image information uniformity and similarity recognition results of each group of sub-cable images;
the comparison layer comprises a receiving module, an analysis module and a storage module, wherein the receiving module is used for receiving the matched sub-cable images in the matching layer, the analysis module is used for analyzing the image information uniformity and similarity of each group of matched sub-cable images received in the receiving module, and the storage module is used for receiving the image information uniformity and similarity of the matched sub-cable images analyzed in the analysis module and storing the image information uniformity and similarity of the matched sub-cable images;
the similarity of the matched sub-cable image data is calculated by the following formula:
wherein: χ (a, b) is the similarity of the sub-cable image data a and the sub-cable image data b in the matched sub-cable image data; zeta type toy a Image information symmetry degree for sub-cable image data a; zeta type toy b Image information symmetry degree for sub-cable image data b; alpha, beta and gamma are weights; d, d color Color similarity for the matched sub-cable image data; d, d shape Shape similarity for the matched sub-cable image data; d, d texture Texture similarity for the matched sub-cable image data;
when the χ (a, b) is calculated, firstly, calculating the image information uniformity of two groups of sub-cable image data in the matched sub-cable image data, wherein the sub-cable image data with small image information uniformity is used as a in the formula, the sub-cable image data with large image information uniformity is used as b in the formula, the sum of alpha, beta and gamma is 1, and alpha is larger than gamma.
Further, the matching layer comprises an acquisition module, a segmentation module and a configuration module, wherein the acquisition module is used for acquiring cable image data, the segmentation module is used for receiving the cable image data acquired by the acquisition module, identifying cable images in the cable image data, carrying out image segmentation processing on the identified cable images, and the configuration module is used for receiving a plurality of groups of sub-cable images obtained by the segmentation processing in the segmentation module and configuring the sub-cable images;
the cable is output by the output end of the cable production equipment, is conveyed by a conveyor belt, is wound and received by winding equipment, and is collected by a collecting module in a conveying stage of the cable on the conveyor belt, wherein the surface color of the conveyor belt is solid and different from the surface color of the cable, and the cable image data collected by the collecting module is cable image data which only comprises the conveyor belt and the cable image by taking the conveyor belt as a background.
Further, the recognition result of the cable image in the cable image data in the segmentation module is output through the following formula;
p residue ＝p all -p Del-obj ；
wherein: p is p residue Is the remaining cable image; p is p all Is the original cable image; p is p Del-obj The method comprises the steps of obtaining an original cable image, wherein the original cable image is a target image area to be subtracted;
wherein said p residue 、p all P Del-obj Represented as a set of pixel blocks, the remaining cable image p residue Before the acquisition, the original cable image p is calculated all Color entropy of each pixel block in the original cable image to be subtracted by the target image region p Del-obj Namely, the background image in the cable image data, the color entropy of all pixel blocks in the background image in the cable image data is the same, and the residual cable image p residue I.e. the cable image in the cable image data.
Further, the color entropy of the pixel block is obtained by the following formula:
wherein: h is the color entropy of the pixel block; k is the number of bits of the color in the pixel block; p is p i The probability of occurrence of the ith color value in the pixel block;
wherein p is all P Del-obj All are determined by the color entropy calculation result of the pixel blocks, the pixel blocks applied in a cable image output formula in the cable image data are equal in size, the matrix formed by pixel points with the expression form of x is formed, x is the number of pixel points in the longitudinal and transverse directions of the matrix formed by the pixel points, and the smaller the pixel blocks applied in the cable image output formula in the cable image data, the remaining cable image p is residue The better the accuracy of (c).
Further, after the segmentation module identifies the cable image in the cable image data, the segmentation module sets segmentation logic based on the density of the mica tape wound on the cable surface and the size ratio of the cable image to the actual specification parameters of the cable, wherein the segmentation logic is expressed as:
wherein: l is the cable image segmentation span; w (W) Cov The lap joint width of the mica tape is wound on the cable; f (f) pic The length of the cable in the cable image; f (f) real Is the actual length of the power;
the cable image is divided into a plurality of groups of cable segment images with equal length based on a cable image dividing span L, the cable segment images are sub-cable image data, the cable segment images are marked sequentially based on the conveying direction of a cable conveying belt, and marking logic is as follows: 1. 2, 3, 4, 5, 6..the configuration module performs mutual configuration of the cable segment images based on the marking result of the cable segment images, the configuration logic being expressed as: the cable segment image corresponding to the mark 1 and the cable segment image corresponding to the mark 2 are mutually configured, the cable segment image corresponding to the mark 2 and the cable segment image corresponding to the mark 3 are mutually configured, the cable segment image corresponding to the mark 3 and the cable segment image corresponding to the mark 4 are mutually configured, and so on.
Further, in the similarity calculation formula of the matched sub-cable image data, d color 、d shape D texture The solving logic of (1) includes:
wherein: k is the number of bits of the color in the sub-cable image data; h a [c]Color histograms in the c-bit color channel values for the cable image data a; h b [c]A color histogram in the c-bit color channel value for cable image data b; h a,o An o-th component based on Hu moment for cable image data a; h b,o An o-th component based on Hu moment for cable image data b; c (C) a,c C-th row c-th column elements based on GLCM in c-bit color channel values for cable image data a; c (C) b,c The cable image data v is based on the elements of row c and column c of the GLCM in c-bit color channel values.
Further, the image information uniformity is obtained by the following formula:
wherein: m, N the width and height of the image; x is X xy Is the gray value of the image at (x, y);is the average gray value of the image;
wherein, the larger the value of ζ epsilon [0,1], the better the image information symmetry degree of the image, otherwise, the worse the image information symmetry degree of the image.
Further, the judging layer comprises a setting module and a judging module, wherein the setting module is used for receiving the image information symmetry and the similarity of the matched sub-cable images stored in the storage module, setting a cable qualification judging threshold value, and the judging module is used for judging whether the image information symmetry and the similarity of the sub-cable images are within the cable qualification judging threshold value;
the qualification judging thresholds set in the setting module are respectively applied to qualification judgment of the uniformity of the image information of the sub-cable images and qualification judgment of the similarity of the sub-cable images, the uniformity of the image information of the sub-cable images is judged to be qualified, in the similarity qualification judging result of the sub-cable images, when the judging result is that the sub-cable image data which is qualified is not less than 99% of the total amount of the sub-cable image data, the source cable of the sub-cable image is judged to be qualified, and when the cable is judged to be unqualified, the judging module synchronously acquires the marks of the sub-cable images corresponding to the uniformity and the similarity of the image information which are judged to be unqualified, and transmits the acquired marks of the sub-cable images to the storage module in the comparison layer, and a system end user reads the marks of the sub-cable image data in the storage module.
Furthermore, the receiving module is interactively connected with the analyzing module and the storage module through a wireless network, the receiving module is interactively connected with the configuration module through the wireless network, the configuration module is interactively connected with the dividing module and the collecting module through the wireless network, the storage module is interactively connected with the setting module through the wireless network, and the setting module is interactively connected with the judging module through the wireless network.
In a second aspect, a quality detection method for a flexible mineral insulated flexible fireproof cable includes the steps of:
step 1: collecting cable image data, and carrying out segmentation processing on the cable image data;
step 11: a stage of identifying the cable image in the cable image data;
step 12: a setting stage of cable image data segmentation processing logic;
step 2: acquiring sub-cable image data obtained through segmentation processing, and configuring the sub-cable image data;
step 21: marking stage of sub-cable image data;
step 3: carrying out image information symmetry degree and similarity comparison on the image data of the sub-cable which is configured;
step 31: setting stage of image information uniformity and similarity comparison logic of sub-cable image data;
step 4: acquiring image information symmetry and similarity comparison results of the configured sub-cable image data, setting a qualification judgment threshold value, and judging whether the cable corresponding to the sub-cable image data is qualified or not by applying the qualification judgment threshold value;
step 5: based on the marking of the sub-cable image data, unqualified sub-cable image data in the sub-cable image data of the cable is captured.
Compared with the prior art, the technical proposal provided by the invention has the following advantages that
The beneficial effects are that:
1. the invention provides a quality detection system of a flexible mineral insulation flexible fireproof cable, which is characterized in that in the operation process of the system, image analysis is carried out on the cable through acquisition of cable image data, and in the process of the cable image analysis, the cable image is segmented, so that the cable image obtained through segmentation provides more data support for the system, the system is used for qualification judgment of the cable, and the qualification detection judgment process of electric power is more refined.
2. In the running process of the system, the electric power image data is taken as an analysis basis, and meanwhile, based on the analysis of the symmetry degree and the similarity of the image information of the cable image data, whether the source cable of the cable image is qualified or not is analyzed, so that the analysis data of the result application obtained by the analysis is more comprehensive, and the detection and judgment result further made by the system through the analysis result is more accurate and reliable.
3. After the system collects the cable image data, the system performs segmentation processing on the cable image data, when the system is applied to qualified detection of the cable, the system further brings a certain control effect on the detection efficiency and the detection precision of the qualified detection of the cable by the control of segmentation precision through the set segmentation logic, so that the adaptability of the system can be controlled more conveniently by a user.
4. The invention provides a quality detection method of a flexible mineral insulation flexible fireproof cable, which can further maintain the stability of system operation by executing steps in the method, and can further provide stable operation logic of the system in the executing process of the steps of the method, so that the method and the technical scheme formed by the system are more stable and reliable in a specific implementation stage.
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 evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a schematic structural diagram of a quality detection system for a flexible mineral insulated flexible fire protection cable;
FIG. 2 is a schematic flow chart of a method for detecting the quality of a flexible mineral insulated flexible fire-resistant cable;
FIG. 3 is a schematic diagram showing the system placement logic according to the present invention;
FIG. 4 is a schematic diagram illustrating a process of obtaining a sub-cable image from cable image data according to the present invention;
fig. 5 is a statistical chart of the result of obtaining the similarity of the image data of the sub-cable in the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1:
the quality detection system of the flexible mineral insulation flexible fireproof cable of the embodiment, as shown in fig. 1, comprises a matching layer, a comparison layer and a judgment layer;
the method comprises the steps that image data of a cable are collected through a matching layer, cable image segmentation is completed in the matching layer to obtain sub-cable images, the obtained sub-cable images are subjected to mutual matching of image comparison targets, the matching layer receives the matched sub-cable images in real time, image information uniformity and similarity analysis are carried out on each group of matched sub-cable images, a judging layer receives image information uniformity and similarity recognition results of the matched sub-cable images in the matching layer, and whether a cable from the sub-cable image is qualified or not is judged based on the image information uniformity and similarity recognition results of each group of sub-cable images;
the comparison layer comprises a receiving module, an analysis module and a storage module, wherein the receiving module is used for receiving the matched sub-cable images in the matching layer, the analysis module is used for analyzing the image information uniformity and the similarity of each group of matched sub-cable images received in the receiving module, and the storage module is used for receiving the image information uniformity and the similarity of the matched sub-cable images analyzed in the analysis module and storing the image information uniformity and the similarity of the matched sub-cable images;
the similarity of the matched sub-cable image data is calculated by the following formula:
wherein: χ (a, b) is the similarity of the sub-cable image data a and the sub-cable image data b in the matched sub-cable image data; zeta type toy a Image information symmetry degree for sub-cable image data a; zeta type toy b Image information symmetry degree for sub-cable image data b; alpha, beta and gamma are weights; d, d color Color similarity for the matched sub-cable image data; d, d shape Shape similarity for the matched sub-cable image data; d, d texture Texture similarity for the matched sub-cable image data;
when χ (a, b) is calculated, firstly calculating the image information uniformity of two groups of sub-cable image data in the matched sub-cable image data, wherein the sub-cable image data with small image information uniformity is used as a in a formula, the sub-cable image data with large image information uniformity is used as b in the formula, the sum of alpha, beta and gamma is 1, and alpha is larger than gamma;
the matching layer comprises an acquisition module, a segmentation module and a configuration module, wherein the acquisition module is used for acquiring cable image data, the segmentation module is used for receiving the cable image data acquired by the acquisition module, identifying cable images in the cable image data, carrying out image segmentation processing on the identified cable images, and the configuration module is used for receiving a plurality of groups of sub-cable images obtained by the segmentation processing in the segmentation module and configuring the sub-cable images mutually;
the cable is output by the output end of the cable production equipment, is conveyed by a conveyor belt, is wound and received by winding equipment, and is collected by a collecting module in a conveying stage of the cable on the conveyor belt, wherein the surface color of the conveyor belt is solid and different from the surface color of the cable, and the cable image data collected by the collecting module is cable image data which only comprises the conveyor belt and the cable image by taking the conveyor belt as a background;
d in the similarity calculation formula of the matched sub-cable image data color 、d shape D texture The solving logic of (1) includes:
wherein: k is the number of bits of the color in the sub-cable image data; h a [c]Color histograms in the c-bit color channel values for the cable image data a; h b [c]A color histogram in the c-bit color channel value for cable image data b; h a,o An o-th component based on Hu moment for cable image data a; h b,o An o-th component based on Hu moment for cable image data b; c (C) a,c C-th row c-th column elements based on GLCM in c-bit color channel values for cable image data a; c (C) b,c GLCM-based c-th in c-bit color channel values for cable image data vRow c column elements;
the image information symmetry is obtained by the following formula:
wherein: m, N the width and height of the image; x is X xy Is the gray value of the image at (x, y);is the average gray value of the image;
wherein, the larger the value of xi epsilon [0,1], the better the image information symmetry degree of the image is represented, otherwise, the worse the image information symmetry degree of the image is represented;
the judging layer comprises a setting module and a judging module, wherein the setting module is used for receiving the image information uniformity and the similarity of the matched sub-cable images stored in the storage module, setting a cable qualification judging threshold value, and judging whether the image information uniformity and the similarity of the sub-cable images are within the cable qualification judging threshold value or not;
the qualification judging thresholds set in the setting module are respectively applied to qualification judgment of the uniformity of the image information of the sub-cable images and qualification judgment of the similarity of the sub-cable images, the uniformity of the image information of the sub-cable images is judged to be qualified, in the similarity qualification judging result of the sub-cable images, when the judging result is that the sub-cable image data which is qualified is not less than 99% of the total amount of the sub-cable image data, the source cable of the sub-cable image is judged to be qualified, and when the cable is judged to be unqualified, the judging module synchronously acquires the mark of the sub-cable image corresponding to the uniformity and the similarity of the image information which is judged to be unqualified, and transmits the acquired mark of the sub-cable image to the storage module in the comparison layer, and a system end user reads the mark of the sub-cable image data in the storage module;
the receiving module is interactively connected with the analysis module and the storage module through a wireless network, the receiving module is interactively connected with the configuration module through the wireless network, the configuration module is interactively connected with the segmentation module and the acquisition module through the wireless network, the storage module is interactively connected with the setting module through the wireless network, and the setting module is interactively connected with the judging module through the wireless network.
In this embodiment, the collecting module operates to collect cable image data, the splitting module operates to receive the cable image data collected by the collecting module after the splitting module is positioned, identify cable images in the cable image data, perform image splitting processing on the identified cable images, the configuration module synchronously receives a plurality of groups of sub-cable images obtained by splitting processing in the splitting module, mutually configures the sub-cable images, the receiving module further operates to receive matched sub-cable images in a matching layer, the analyzing module analyzes the image information uniformity and similarity of each group of matched sub-cable images received in the receiving module in real time, the storage module synchronously receives the image information uniformity and similarity of the matched sub-cable images analyzed in the analyzing module, stores the image information uniformity and similarity of the matched sub-cable images, and finally receives the image information uniformity and similarity of the matched sub-cable images stored in the storage module through the setting module, sets a cable qualification judging threshold, and judges whether the image information uniformity and similarity of the sub-cable images are within the cable qualification judging threshold;
referring to fig. 3, the system end user can be further assisted to understand the pose of the system relative to the cable production equipment and the cable winding equipment when the acquisition module in the matching layer acquires the cable image data;
referring to fig. 4, the upper part of the diagram shows cable image data, the middle part of the diagram shows cable images, and the lower part of the diagram shows sub-cable image data, which can also be called cable segment images;
referring to fig. 5, the figure further shows the similarity of the sub-cable image data obtained in the comparison layer in the system, and the figure is formed by the similarity of the sub-cable image data, so that a user at the system end can be further assisted to read the qualified detection result of the cable in a visual mode.
Example 2:
on the aspect of implementation, based on embodiment 1, this embodiment further specifically describes a quality detection system of a flexible mineral insulated flexible fireproof cable in embodiment 1 with reference to fig. 1:
the segmentation module outputs the recognition result of the cable image in the cable image data through the following formula;
p residue ＝p all -p Del-obj ；
wherein: p is p residue Is the remaining cable image; p is p all Is the original cable image; p is p Del-obj The method comprises the steps of obtaining an original cable image, wherein the original cable image is a target image area to be subtracted;
wherein p is residue 、p all P Del-obj Represented as a set of pixel blocks, the remaining cable image p residue Before the acquisition, the original cable image p is calculated all Color entropy of each pixel block in the original cable image to be subtracted by the target image region p Del-obj Namely, the background image in the cable image data, the color entropy of all pixel blocks in the background image in the cable image data is the same, and the residual cable image p residue Namely cable images in the cable image data;
the color entropy of a pixel block is calculated by the following formula:
wherein: h is the color entropy of the pixel block; k is the number of bits of the color in the pixel block; p is p i The probability of occurrence of the ith color value in the pixel block;
wherein p is all P Del-obj All are determined by the color entropy calculation result of the pixel blocks, the pixel blocks applied in a cable image output formula in the cable image data are equal in size, the expression forms are matrices formed by x pixel points, x is the number of pixel points in the longitudinal and transverse directions of the matrices formed by the pixel points, and the pixels applied in the cable image output formula in the cable image dataThe smaller the pixel block, the remaining cable image p residue The better the accuracy of (2);
through the arrangement, the recognition logic of the matching layer segmentation module in the system when the cable image data is subjected to cable image recognition is further limited.
After the segmentation module identifies the cable image in the cable image data, setting segmentation logic based on the density of the mica tape wound on the cable surface and the size proportion of the cable image and the actual specification parameters of the cable, wherein the segmentation logic is expressed as:
wherein: l is the cable image segmentation span; w (W) Cov The lap joint width of the mica tape is wound on the cable; f (f) pic The length of the cable in the cable image; f (f) real Is the actual length of the power;
the cable image is divided into a plurality of groups of cable segment images with equal length based on a cable image dividing span L, the cable segment images are sub-cable image data, the cable segment images are marked sequentially based on the conveying direction of a cable conveying belt, and marking logic is as follows: 1. 2, 3, 4, 5, 6..the configuration module performs mutual configuration of the cable segment images based on the marking result of the cable segment images, the configuration logic being expressed as: the cable segment image corresponding to the mark 1 and the cable segment image corresponding to the mark 2 are mutually configured, the cable segment image corresponding to the mark 2 and the cable segment image corresponding to the mark 3 are mutually configured, the cable segment image corresponding to the mark 3 and the cable segment image corresponding to the mark 4 are mutually configured, and so on.
By the arrangement, the segmentation logic of the segmentation module in the matching layer in the system for the cable image is further defined.
Example 3:
on the aspect of implementation, based on embodiment 1, this embodiment further specifically describes a quality detection system of a flexible mineral insulated flexible fireproof cable in embodiment 1 with reference to fig. 2:
a quality detection method of a flexible mineral insulated flexible fireproof cable comprises the following steps:
step 1: collecting cable image data, and carrying out segmentation processing on the cable image data;
step 11: a stage of identifying the cable image in the cable image data;
step 12: a setting stage of cable image data segmentation processing logic;
step 2: acquiring sub-cable image data obtained through segmentation processing, and configuring the sub-cable image data;
step 21: marking stage of sub-cable image data;
step 3: carrying out image information symmetry degree and similarity comparison on the image data of the sub-cable which is configured;
step 31: setting stage of image information uniformity and similarity comparison logic of sub-cable image data;
step 4: acquiring image information symmetry and similarity comparison results of the configured sub-cable image data, setting a qualification judgment threshold value, and judging whether the cable corresponding to the sub-cable image data is qualified or not by applying the qualification judgment threshold value;
step 5: based on the marking of the sub-cable image data, unqualified sub-cable image data in the sub-cable image data of the cable is captured.
In summary, in the above embodiment, in the operation process of the system, the image analysis is performed on the cable by collecting the cable image data, and in the process of the cable image analysis, the cable image is segmented, so that the cable image obtained by segmentation provides more data support for the system, so as to be used for judging the qualification of the cable, and the qualification detection and judgment process of the electric power tends to be more fine; in the running process of the system, the electric power image data is taken as an analysis basis, and meanwhile, based on the analysis of the symmetry degree and the similarity of the image information of the cable image data, whether the source cable of the cable image is qualified or not is analyzed, so that the analysis data of the result application obtained by the analysis is more comprehensive, and the detection and judgment result further made by the system through the analysis result is more accurate and reliable; meanwhile, after the system collects the cable image data, in the stage of dividing the cable image data, when the system is applied to qualified detection of the cable, the system further brings a certain control effect on the detection efficiency and the detection precision of the qualified detection of the cable through control of the division precision by setting division logic, so that the adaptability of the system can be controlled more conveniently by a user; meanwhile, in the embodiment, the stability of the system operation can be further maintained, and in the step execution process of the method, the stable operation logic of the system can be further provided, so that the technical scheme formed by the method and the system is more stable and reliable in the specific implementation stage.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The quality detection system of the flexible mineral insulated flexible fireproof cable is characterized by comprising a matching layer, a comparison layer and a judging layer;
the method comprises the steps that image data of a cable are collected through a matching layer, cable image segmentation is completed in the matching layer to obtain sub-cable images, the obtained sub-cable images are subjected to mutual matching of image comparison targets, the matching layer receives the matched sub-cable images in real time, image information uniformity and similarity analysis are carried out on each group of matched sub-cable images, a judging layer receives image information uniformity and similarity recognition results of the matched sub-cable images in the matching layer, and whether a cable from the sub-cable image is qualified or not is judged based on the image information uniformity and similarity recognition results of each group of sub-cable images;
the comparison layer comprises a receiving module, an analysis module and a storage module, wherein the receiving module is used for receiving the matched sub-cable images in the matching layer, the analysis module is used for analyzing the image information uniformity and similarity of each group of matched sub-cable images received in the receiving module, and the storage module is used for receiving the image information uniformity and similarity of the matched sub-cable images analyzed in the analysis module and storing the image information uniformity and similarity of the matched sub-cable images;
the similarity of the matched sub-cable image data is calculated by the following formula:
wherein: χ (a, b) is the similarity of the sub-cable image data a and the sub-cable image data b in the matched sub-cable image data; zeta type toy a Image information symmetry degree for sub-cable image data a; zeta type toy b Image information symmetry degree for sub-cable image data b; alpha, beta and gamma are weights; d, d color Color similarity for the matched sub-cable image data; d, d shape Shape similarity for the matched sub-cable image data; d, d texture Texture similarity for the matched sub-cable image data;
when the χ (a, b) is calculated, firstly, calculating the image information uniformity of two groups of sub-cable image data in the matched sub-cable image data, wherein the sub-cable image data with small image information uniformity is used as a in the formula, the sub-cable image data with large image information uniformity is used as b in the formula, the sum of alpha, beta and gamma is 1, and alpha is larger than gamma.
2. The quality detection system of the flexible mineral insulated flexible fireproof cable according to claim 1, wherein the matching layer comprises an acquisition module, a segmentation module and a configuration module, the acquisition module is used for acquiring cable image data, the segmentation module is used for receiving the cable image data acquired by the acquisition module, identifying cable images in the cable image data, carrying out image segmentation processing on the identified cable images, and the configuration module is used for receiving a plurality of groups of sub-cable images obtained by the segmentation processing in the segmentation module and configuring the sub-cable images with each other;
the cable is output by the output end of the cable production equipment, is conveyed by a conveyor belt, is wound and received by winding equipment, and is collected by a collecting module in a conveying stage of the cable on the conveyor belt, wherein the surface color of the conveyor belt is solid and different from the surface color of the cable, and the cable image data collected by the collecting module is cable image data which only comprises the conveyor belt and the cable image by taking the conveyor belt as a background.
3. The quality detection system of the flexible mineral insulated flexible fireproof cable according to claim 1, wherein the recognition result of the cable image in the cable image data in the segmentation module is output by the following formula;
p residue ＝p all -p Del-obj ；
wherein: p is p residue Is the remaining cable image; p is p all Is the original cable image; p is p Del-obj The method comprises the steps of obtaining an original cable image, wherein the original cable image is a target image area to be subtracted;
wherein said p residue 、p all P Del-obj Represented as a set of pixel blocks, the remaining cable image p residue Before the acquisition, the original cable image p is calculated all Color entropy of each pixel block in the original cable image to be subtracted by the target image region p Del-obj Namely, the background image in the cable image data, the color entropy of all pixel blocks in the background image in the cable image data is the same, and the residual cable image p residue I.e. the cable image in the cable image data.
4. A quality inspection system for flexible mineral insulated flexible fire-resistant cable according to claim 3, wherein the color entropy of the pixel block is obtained by the following formula:
wherein: h is the color entropy of the pixel block; k is the number of bits of the color in the pixel block; p is p i The probability of occurrence of the ith color value in the pixel block;
wherein p is all P Del-obj All are determined by the color entropy calculation result of the pixel blocks, the pixel blocks applied in a cable image output formula in the cable image data are equal in size, the matrix formed by pixel points with the expression form of x is formed, x is the number of pixel points in the longitudinal and transverse directions of the matrix formed by the pixel points, and the smaller the pixel blocks applied in the cable image output formula in the cable image data, the remaining cable image p is residue The better the accuracy of (c).
5. The system for detecting the quality of the flexible mineral insulated flexible fire protection cable according to claim 1, wherein the segmentation module sets segmentation logic based on the density of the mica tape wound on the cable surface and the dimension ratio of the cable image to the actual specification parameter of the cable after identifying the cable image in the cable image data, and the segmentation logic is expressed as:
wherein: l is the cable image segmentation span; w (W) Cov The lap joint width of the mica tape is wound on the cable; f (f) pic The length of the cable in the cable image; f (f) real Is the actual length of the power;
the cable image is divided into a plurality of groups of cable segment images with equal length based on a cable image dividing span L, the cable segment images are sub-cable image data, the cable segment images are marked sequentially based on the conveying direction of a cable conveying belt, and marking logic is as follows: 1. 2, 3, 4, 5, 6..the configuration module performs mutual configuration of the cable segment images based on the marking result of the cable segment images, the configuration logic being expressed as: the cable segment image corresponding to the mark 1 and the cable segment image corresponding to the mark 2 are mutually configured, the cable segment image corresponding to the mark 2 and the cable segment image corresponding to the mark 3 are mutually configured, the cable segment image corresponding to the mark 3 and the cable segment image corresponding to the mark 4 are mutually configured, and so on.
6. The system and method for detecting the quality of a flexible mineral insulated flexible fire-resistant cable according to claim 1, wherein d is calculated in a similarity calculation formula of the matched sub-cable image data color 、d shape D texture The solving logic of (1) includes:
wherein: k is the number of bits of the color in the sub-cable image data; h a [c]Color histograms in the c-bit color channel values for the cable image data a; h b [c]A color histogram in the c-bit color channel value for cable image data b; h a,o An o-th component based on Hu moment for cable image data a; h b,o An o-th component based on Hu moment for cable image data b; c (C) a,c C-th row c-th column elements based on GLCM in c-bit color channel values for cable image data a; c (C) b,c The cable image data v is based on the elements of row c and column c of the GLCM in c-bit color channel values.
7. The quality detection system of a flexible mineral insulated flexible fire protection cable according to claim 1, wherein the image information uniformity is obtained by the following formula:
wherein: m, N the width and height of the image; x is X xy Is the gray value of the image at (x, y);is the average gray value of the image;
wherein, the larger the value of ζ epsilon [0,1], the better the image information symmetry degree of the image, otherwise, the worse the image information symmetry degree of the image.
8. The system for detecting the quality of the flexible mineral insulated flexible fireproof cable according to claim 1, wherein the judging layer comprises a setting module and a judging module, the setting module is used for receiving the image information uniformity and the similarity of the matched sub-cable images stored in the storage module, and setting a cable qualification judging threshold, and the judging module is used for judging whether the image information uniformity and the similarity of the sub-cable images are within the cable qualification judging threshold;
the qualification judging thresholds set in the setting module are respectively applied to qualification judgment of the uniformity of the image information of the sub-cable images and qualification judgment of the similarity of the sub-cable images, the uniformity of the image information of the sub-cable images is judged to be qualified, in the similarity qualification judging result of the sub-cable images, when the judging result is that the sub-cable image data which is qualified is not less than 99% of the total amount of the sub-cable image data, the source cable of the sub-cable image is judged to be qualified, and when the cable is judged to be unqualified, the judging module synchronously acquires the marks of the sub-cable images corresponding to the uniformity and the similarity of the image information which are judged to be unqualified, and transmits the acquired marks of the sub-cable images to the storage module in the comparison layer, and a system end user reads the marks of the sub-cable image data in the storage module.
9. The quality detection system of the flexible mineral insulation flexible fireproof cable according to claim 1, wherein the receiving module is interactively connected with the analyzing module and the storage module through a wireless network, the receiving module is interactively connected with the configuration module through the wireless network, the configuration module is interactively connected with the dividing module and the collecting module through the wireless network, the storage module is interactively connected with the setting module through the wireless network, and the setting module is interactively connected with the judging module through the wireless network.
10. A method for detecting the quality of a flexible mineral insulated flexible fire-resistant cable, the method being implemented in a system for detecting the quality of a flexible mineral insulated flexible fire-resistant cable according to any one of claims 1 to 9, and comprising the steps of:
step 1: collecting cable image data, and carrying out segmentation processing on the cable image data;
step 11: a stage of identifying the cable image in the cable image data;
step 12: a setting stage of cable image data segmentation processing logic;
step 2: acquiring sub-cable image data obtained through segmentation processing, and configuring the sub-cable image data;
step 21: marking stage of sub-cable image data;
step 3: carrying out image information symmetry degree and similarity comparison on the image data of the sub-cable which is configured;
step 31: setting stage of image information uniformity and similarity comparison logic of sub-cable image data;
step 4: acquiring image information symmetry and similarity comparison results of the configured sub-cable image data, setting a qualification judgment threshold value, and judging whether the cable corresponding to the sub-cable image data is qualified or not by applying the qualification judgment threshold value;
step 5: based on the marking of the sub-cable image data, unqualified sub-cable image data in the sub-cable image data of the cable is captured.
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