Cable line intelligent management method
By judging the consistent proportion of edge shapes of the tile stone and the cable line and the matching of depth of field data, we can intelligently determine whether there is contact between the tile stone and the cable line, which solves the difficult-to-observe safety hazards in the existing technology, and achieves stable and simple contact status identification.
Patent Information
- Application Number
- CN202510044608.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-03-06
- Filing Date
- 2025-01-12
- Publication Date
- 2025-04-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
It is difficult to intelligently determine whether there is contact between the tiles and cable lines in the prior art, which makes it difficult to detect the safety hazards buried under long-term contact.
By determining the consistent ratio between the edge shape of the reference screen corresponding to the tile and the edge shape of the standard pattern, and the consistent ratio between the edge shape of the reference screen corresponding to the cable line and the edge shape of the tile and the standard pattern of the tile and the contact state identification signal is issued when these ratios are less than or equal to the preset threshold and the depth of field data of the tile and the cable line matches.
It realizes an intelligent judgment on whether there is contact between the tiled stone and the cable line, effectively avoiding the safety hazards buried under long-term contact, and is stable in operation and simple in operation.
Abstract
Description
Technical Field
[0001] The present invention relates to the field of cable lines, and more specifically, to an intelligent management method for cable lines. Background Art
[0002] Cable lines are important materials in the power industry. Some studies on them are as follows: CN118196101A discloses a cable category detection method and detection system based on image processing, the method comprising the steps of: collecting cable cross-section image samples, performing a preprocessing step on each cable image, and obtaining a cable conductor area image after preliminary processing; extracting cable features; manually marking the conductor area of each sample; using a supervised learning method to automatically distinguish between reflective areas and non-reflective areas according to input features, and dynamically identifying and processing the reflective area of the cable conductor area through a trained model; extracting the cable conductor area features and constructing a matrix again, calculating the conductor parameters of the cable conductor area, the conductor parameters including area and shape probability; constructing a cable conductor area feature matrix to represent the shape probability and the most similar shape of the conductor, and using the constructed feature matrix to calculate the similarity distance between the cable to be tested and the template cable to determine the cable category.
[0003] CN118038123A discloses a cable inspection device, method and equipment for crossing obstacles in a cable channel, and the present application belongs to the technical field of electric power facilities. The device includes: a data acquisition module, which collects parameter data and image data of the cable to be inspected in the cable channel; an obstacle identification module, which stores parameter data and image data and sends out a help message when an obstacle that cannot be bypassed is identified; a recovery inspection module, which determines the inspection direction and the target orientation relative to the inspection direction after the help is completed; a data comparison module, which obtains the cable parameters and cable images of the target orientation, and compares them with the parameter data and image data of the cable to be inspected. If the comparison result meets the preset requirements, the cable is determined to be the cable to be inspected.
[0004] CN117710901A discloses a cable manufacturing anomaly detection system based on machine vision, including: a cable image acquisition module, an image acquisition preprocessing module, a feature information extraction module, a surface anomaly judgment module, a shape anomaly detection module, a pixel difference comparison module, a system anomaly self-adjustment module, an adjusted detection model establishment module, and a system anomaly early warning module. The cable image is processed in frames, the cable-related data of each frame image is obtained, the surface integrity coefficient, shape matching coefficient and pixel homogeneity coefficient of the cable are calculated, whether an anomaly occurs according to a preset threshold value, and the anomaly module is automatically adjusted. The adjusted detection model establishment module calculates the image anomaly index, detects whether the cable manufacturing is in an abnormal state according to the image anomaly index, and issues an early warning prompt. Through automated detection, the labor cost is reduced and the production quality of the cable is improved. Summary of the invention
[0005] In order to solve the technical problems in related fields, the present invention provides an intelligent management method for cable lines, which can determine the consistent ratio of the edge shape of a first reference picture corresponding to the tile and the edge shape of a standard pattern corresponding to the tile as a first ratio, and determine the consistent ratio of the edge shape of a second reference picture corresponding to the cable line and the edge shape of the standard pattern corresponding to the tile as a second ratio, and when the first ratio and the second ratio are both less than or equal to a preset ratio threshold and the tile and the cable line match the depth of field data of the contrast-preserving image, a contact state identification signal is sent to intelligently determine whether the tile and the cable line are in contact, otherwise, a non-contact state identification signal is sent to intelligently determine whether the tile and the cable line are in contact.
[0006] The present invention needs to have at least the following important invention points: Invention point A: determining the consistent ratio of the edge shape of the first reference picture corresponding to the tile and the edge shape of the standard pattern corresponding to the tile as the first ratio, and determining the consistent ratio of the edge shape of the second reference picture corresponding to the cable line and the edge shape of the standard pattern corresponding to the tile as the second ratio; Invention point B: When the first ratio and the second ratio are both less than or equal to the preset ratio threshold and the depth of field data of the contrast-preserving image of the tile and the cable line match, a contact state identification signal is sent to intelligently determine whether the tile and the cable line are in contact; otherwise, a non-contact state identification signal is sent to intelligently determine whether the tile and the cable line are not in contact; Invention point C: Specifically, determining the consistent ratio of the edge shape of the first reference picture corresponding to the tile and the edge shape of the standard pattern corresponding to the tile as the first ratio includes: the ratio of the length of the parts with the same two edge shapes to the total length of the curve corresponding to the edge shape of the standard pattern corresponding to the tile is the first ratio.
[0007] According to the present invention, a cable line intelligent management method is provided, the method comprising: The directional monitoring device is arranged on the side of the cable line with the imaging plane being parallel to the cable line routing direction, so as to perform a picture capture action on the cable line routing scene to obtain and output the corresponding real-time monitoring picture; The continuous mapping mechanism is connected to the directional monitoring device and includes a front-end mapping device, a mid-end mapping device and a terminal mapping device. The front-end mapping device is connected to the directional monitoring device and is used to perform smooth spatial filtering processing on the received real-time monitoring picture to obtain and output a corresponding smooth spatial filtering image. The mid-end mapping device is connected to the front-end mapping device and is used to perform bilateral filtering processing on the received smooth spatial filtering image to obtain and output a corresponding bilateral filtering image. The terminal mapping device is connected to the mid-end mapping device and is used to perform processing on the received bilateral filtering image to retain the junction of two parts with obvious color or light and dark contrast in the image to obtain and output a corresponding contrast-retained image. Connecting a feature recognition mechanism to the continuous mapping mechanism to recognize the portion of the tiles occupied in the contrast-preserved image based on the grayscale imaging features of the tiles as a first reference image, and to recognize the portion of the cables occupied in the contrast-preserved image based on the grayscale imaging features of the cables as a second reference image; Connecting the shape analysis mechanism to the feature recognition mechanism to determine the consistency ratio of the edge shape of the first reference picture corresponding to the tile and the edge shape of the standard pattern corresponding to the tile as a first ratio, and determining the consistency ratio of the edge shape of the second reference picture corresponding to the cable line and the edge shape of the standard pattern corresponding to the tile as a second ratio; Connecting a state recognition mechanism to the shape analysis mechanism, so as to send a contact state recognition signal when both the first ratio and the second ratio are less than or equal to a preset ratio threshold and the depth data of the contrast-preserving image of the tiles and the cable lines match, otherwise, sending a non-contact state recognition signal; The network alarm mechanism is connected to the state identification mechanism, so as to wirelessly send the warning information corresponding to the contact between the tile and the cable line to the remote power management server through the wireless communication network when the contact state identification signal is received; Among them, determining the consistent ratio of the edge shape of the first reference picture corresponding to the tile and the edge shape of the standard pattern corresponding to the tile as the first ratio includes: the ratio of the length of the parts with the same two edge shapes to the total length of the curve corresponding to the edge shape of the standard pattern corresponding to the tile is the first ratio.
[0008] The cable line intelligent management method of the present invention is stable and easy to operate. Since it can intelligently judge whether the tile and the cable line are in contact based on various visual data of the tile and the cable line, and perform corresponding early warning operations when the contact is judged, it can effectively avoid the phenomenon that the tile and the cable line are in contact for a long time and cause hidden safety hazards that are difficult to detect. DETAILED DESCRIPTION
[0009] Example 1
[0010] Embodiment 1 is a cable line intelligent management method according to the primary embodiment of the present invention, the method comprising: The directional monitoring device is arranged on the side of the cable line with the imaging plane being parallel to the cable line routing direction, so as to perform a picture capture action on the cable line routing scene to obtain and output the corresponding real-time monitoring picture; The continuous mapping mechanism is connected to the directional monitoring device and includes a front-end mapping device, a mid-end mapping device and a terminal mapping device. The front-end mapping device is connected to the directional monitoring device and is used to perform smooth spatial filtering processing on the received real-time monitoring picture to obtain and output a corresponding smooth spatial filtering image. The mid-end mapping device is connected to the front-end mapping device and is used to perform bilateral filtering processing on the received smooth spatial filtering image to obtain and output a corresponding bilateral filtering image. The terminal mapping device is connected to the mid-end mapping device and is used to perform processing on the received bilateral filtering image to retain the junction of two parts with obvious color or light and dark contrast in the image to obtain and output a corresponding contrast-retained image. Specifically, a CPLD device can be selected to realize the connection of the continuous mapping mechanism with the directional monitoring device and includes a front-end mapping device, a mid-end mapping device and a terminal mapping device. The front-end mapping device is connected to the directional monitoring device and is used to perform smooth spatial filtering processing on the received real-time monitoring picture to obtain and output a corresponding smooth spatial filtering image. The mid-end mapping device is connected to the front-end mapping device and is used to perform bilateral filtering processing on the received smooth spatial filtering image to obtain and output a corresponding bilateral filtering image. The terminal mapping device is connected to the mid-end mapping device and is used to perform a processing of retaining the junction of two parts with obvious color or light and dark contrast in the received bilateral filtering image to obtain and output a corresponding contrast-retained image. Connecting a feature recognition mechanism to the continuous mapping mechanism to recognize the portion of the tiles occupied in the contrast-preserved image based on the grayscale imaging features of the tiles as a first reference image, and to recognize the portion of the cables occupied in the contrast-preserved image based on the grayscale imaging features of the cables as a second reference image; Connecting the shape analysis mechanism to the feature recognition mechanism to determine the consistency ratio of the edge shape of the first reference picture corresponding to the tile and the edge shape of the standard pattern corresponding to the tile as a first ratio, and determining the consistency ratio of the edge shape of the second reference picture corresponding to the cable line and the edge shape of the standard pattern corresponding to the tile as a second ratio; Connecting a state recognition mechanism to the shape analysis mechanism, so as to send a contact state recognition signal when both the first ratio and the second ratio are less than or equal to a preset ratio threshold and the depth data of the contrast-preserving image of the tiles and the cable lines match, otherwise, sending a non-contact state recognition signal; The network alarm mechanism is connected to the state identification mechanism, so as to wirelessly send the warning information corresponding to the contact between the tile and the cable line to the remote power management server through the wireless communication network when the contact state identification signal is received; The determining of the consistent ratio of the edge shape of the first reference picture corresponding to the tile and the edge shape of the standard pattern corresponding to the tile as the first ratio comprises: the ratio of the length of the portion with the same edge shape to the total length of the curve corresponding to the edge shape of the standard pattern corresponding to the tile is the first ratio; The network alarm mechanism is also used to suspend sending the warning information corresponding to the contact between the tile and the cable line to the remote power management server through the wireless communication network when receiving the non-contact state identification signal; Among them, the front-end mapping device is connected to the directional monitoring device, and is used to perform smooth spatial filtering processing on the received real-time monitoring picture to obtain and output a corresponding smooth spatial filtered image; the mid-end mapping device is connected to the front-end mapping device, and is used to perform bilateral filtering processing on the received smooth spatial filtered image to obtain and output a corresponding bilateral filtered image; the terminal mapping device is connected to the mid-end mapping device, and is used to perform processing on the received bilateral filtered image to retain the junction of two parts with obvious color or light and dark contrast in the image to obtain and output a corresponding contrast-retained image. The method includes: establishing a bidirectional data communication link between the front-end mapping device, the mid-end mapping device and the terminal mapping device through a parallel data bus.
[0011] Example 2
[0012] Embodiment 2 is a cable line intelligent management method according to a secondary embodiment of the present invention.
[0013] Different from the first embodiment, the cable line intelligent management method in the second embodiment may further include: Using a power detection mechanism including a plurality of power detection units to respectively detect the current input power of the front-end mapping device, the middle-end mapping device, the end-end mapping device and the feature recognition mechanism; Wherein, using a power detection mechanism including a plurality of power detection units to respectively detect the current input power of the front-end mapping device, the mid-end mapping device, the end mapping device and the feature recognition mechanism comprises: completing the calculation of the respective current input power by respectively measuring the real-time power supply voltage and the real-time power supply current for the front-end mapping device, the mid-end mapping device, the end mapping device and the feature recognition mechanism; The calculation of the respective current input powers by measuring the real-time power supply voltage and the real-time power supply current for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature recognition mechanism respectively includes: for any device of the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature recognition mechanism, the current input power is the product of its real-time power supply voltage and its real-time power supply current; Wherein, using a power detection mechanism including a plurality of power detection units to respectively detect the current input power of the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature recognition mechanism further comprises: the plurality of power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature recognition mechanism have the same power measurement upper limit threshold and power measurement lower limit threshold; Among them, using a power detection mechanism including multiple power detection units to respectively detect the current input power of the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism also includes: the internal structures of the multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism are the same.
[0014] Example 3
[0015] Embodiment 3 is a cable line intelligent management method according to another embodiment of the present invention.
[0016] Different from the first embodiment, the cable line intelligent management method in the third embodiment may further include: The on-site notification mechanism is respectively connected to a plurality of power detection units respectively used by the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature recognition mechanism, so as to perform corresponding power notification operations based on power measurement results of the plurality of power detection units respectively used by the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature recognition mechanism; Wherein, the on-site notification mechanism is respectively connected to a plurality of power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature recognition mechanism, and is used to perform corresponding power notification operations based on power measurement results of the plurality of power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature recognition mechanism, including: the on-site notification mechanism includes a static storage unit for storing a power notification threshold; Among them, the on-site notification mechanism is respectively connected to multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism. It also includes: the on-site notification mechanism performs corresponding power notification operations for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism based on the voice playback mode.
[0017] In addition, in the intelligent management method of the cable line, the front-end mapping device is connected to the directional monitoring device, and is used to perform smooth spatial filtering processing on the received real-time monitoring picture to obtain and output the corresponding smooth spatial filtered image; the mid-end mapping device is connected to the front-end mapping device, and is used to perform bilateral filtering processing on the received smooth spatial filtered image to obtain and output the corresponding bilateral filtered image; the terminal mapping device is connected to the mid-end mapping device, and is used to perform processing on the received bilateral filtered image to retain the junction of two parts with obvious color or light and dark contrast in the image to obtain and output the corresponding contrast-retained image. It also includes: the bidirectional data communication link established between the front-end mapping device, the mid-end mapping device and the terminal mapping device through a parallel data bus is 32 bits or 16 bits.
[0018] Therefore, the descriptions limiting the shapes, etc. disclosed above are examples for easy understanding of the present invention and are not intended to limit the present invention. Therefore, the descriptions of component names that exclude part or all of the limitations on their shapes, materials, etc. are also included in the present invention.
Claims
1. A cable line intelligent management method, characterized in that: The method comprises: The directional monitoring device is arranged on the side of the cable line with the imaging plane being parallel to the cable line routing direction, so as to perform a picture capture action on the cable line routing scene to obtain and output the corresponding real-time monitoring picture; The continuous mapping mechanism is connected to the directional monitoring device and includes a front-end mapping device, a mid-end mapping device and a terminal mapping device. The front-end mapping device is connected to the directional monitoring device and is used to perform smooth spatial filtering processing on the received real-time monitoring picture to obtain and output a corresponding smooth spatial filtering image. The mid-end mapping device is connected to the front-end mapping device and is used to perform bilateral filtering processing on the received smooth spatial filtering image to obtain and output a corresponding bilateral filtering image. The terminal mapping device is connected to the mid-end mapping device and is used to perform processing on the received bilateral filtering image to retain the junction of two parts with obvious color or light and dark contrast in the image to obtain and output a corresponding contrast-retained image. Connecting a feature recognition mechanism to the continuous mapping mechanism to recognize the portion of the tiles occupied in the contrast-preserved image based on the grayscale imaging features of the tiles as a first reference image, and to recognize the portion of the cable line occupied in the contrast-preserved image based on the grayscale imaging features of the cable line as a second reference image; Connecting the shape analysis mechanism to the feature recognition mechanism to determine the consistency ratio of the edge shape of the first reference picture corresponding to the tile and the edge shape of the standard pattern corresponding to the tile as a first ratio, and determining the consistency ratio of the edge shape of the second reference picture corresponding to the cable line and the edge shape of the standard pattern corresponding to the tile as a second ratio; Connecting a state recognition mechanism to the shape analysis mechanism to send a contact state recognition signal when both the first ratio and the second ratio are less than or equal to a preset ratio threshold and the depth data of the contrast-preserving image of the tiles and the cable line match, otherwise, sending a non-contact state recognition signal; The network alarm mechanism is connected to the state identification mechanism, so as to wirelessly send the warning information corresponding to the contact between the tile and the cable line to the remote power management server through the wireless communication network when the contact state identification signal is received; The determining of the consistent ratio of the edge shape of the first reference picture corresponding to the tile and the edge shape of the standard pattern corresponding to the tile as the first ratio comprises: the ratio of the length of the portion with the same edge shape to the total length of the curve corresponding to the edge shape of the standard pattern corresponding to the tile is the first ratio; The network alarm mechanism is also used to suspend sending the warning information corresponding to the contact between the tile and the cable line to the remote power management server through the wireless communication network when receiving the non-contact state identification signal; Among them, the front-end mapping device is connected to the directional monitoring device, and is used to perform smooth spatial filtering processing on the received real-time monitoring picture to obtain and output a corresponding smooth spatial filtered image; the mid-end mapping device is connected to the front-end mapping device, and is used to perform bilateral filtering processing on the received smooth spatial filtered image to obtain and output a corresponding bilateral filtered image; the terminal mapping device is connected to the mid-end mapping device, and is used to perform processing on the received bilateral filtered image to retain the junction of two parts with obvious color or light and dark contrast in the image to obtain and output a corresponding contrast-retained image. The method includes: establishing a bidirectional data communication link between the front-end mapping device, the mid-end mapping device and the terminal mapping device through a parallel data bus.
2. The cable line intelligent management method according to claim 1, characterized in that: The method further comprises: Using a power detection mechanism including a plurality of power detection units to respectively detect the current input power of the front-end mapping device, the middle-end mapping device, the end-end mapping device and the feature recognition mechanism; Among them, using a power detection mechanism including multiple power detection units to respectively detect the current input power of the front-end mapping device, the mid-end mapping device, the end mapping device and the feature identification mechanism includes: completing the calculation of each current input power by respectively measuring the real-time power supply voltage and the real-time power supply current for the front-end mapping device, the mid-end mapping device, the end mapping device and the feature identification mechanism.
3. The cable line intelligent management method according to claim 2, characterized in that: The calculation of the respective current input powers is completed by measuring the real-time power supply voltage and the real-time power supply current for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism respectively, including: for any device of the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism, its current input power is the product of its real-time power supply voltage and its real-time power supply current.
4. The cable line intelligent management method according to claim 2, characterized in that: Using a power detection mechanism including multiple power detection units to respectively detect the current input power of the front-end mapping device, the mid-end mapping device, the end mapping device and the feature identification mechanism also includes: the multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the end mapping device and the feature identification mechanism have the same power measurement upper limit threshold and power measurement lower limit threshold.
5. The cable line intelligent management method according to claim 4, characterized in that: Using a power detection mechanism including multiple power detection units to respectively detect the current input power of the front-end mapping device, the mid-end mapping device, the end mapping device and the feature identification mechanism also includes: the internal structures of the multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the end mapping device and the feature identification mechanism are the same.
6. The cable line intelligent management method according to any one of claims 2 to 5, characterized in that: The method further comprises: The on-site notification mechanism is respectively connected to multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism.
7. The cable line intelligent management method according to claim 6, characterized in that: The on-site notification mechanism is respectively connected to multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism, including: the on-site notification mechanism includes a static storage unit for storing a power notification threshold.
8. The cable line intelligent management method according to claim 7, characterized in that: The on-site notification mechanism is respectively connected to multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism. It also includes: the on-site notification mechanism performs corresponding power notification operations for the front-end mapping device, the mid-end mapping device, the terminal mapping device and the feature identification mechanism based on the voice playback mode.
Citation Information
Patent Citations
Cable manufacturing anomaly detection system based on machine vision
CN117710901A
Cable type detection method and detection system based on image processing
CN118196101A