CN210431427U - Optical cable line fault positioning and visualization system based on AI image identification - Google Patents
Optical cable line fault positioning and visualization system based on AI image identification Download PDFInfo
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- CN210431427U CN210431427U CN201921446849.6U CN201921446849U CN210431427U CN 210431427 U CN210431427 U CN 210431427U CN 201921446849 U CN201921446849 U CN 201921446849U CN 210431427 U CN210431427 U CN 210431427U
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Abstract
The utility model discloses an optical cable line fault location and visual system based on AI image differentiates, including monitor terminal, electronic tags and surveillance center, the surveillance center includes GIS server, control display module and central server, and monitor terminal, electronic tags, GIS server and control display module are connected with central server respectively, and electronic tags sets up on the pole. The utility model provides an unable accurate positioning of optical cable fault point positioning system among the prior art and maintenance personal can't know the problem of trouble type and reason in advance, the type and the reason of knowing the optical cable trouble that can be accurate location optical cable fault point and can be clear in the location have reduced unnecessary troubleshooting positioning time, the maintenance personal of being convenient for reachs the scene fast, maintenance personal of being convenient for prepares repair tools and scheme in advance, improves maintenance efficiency, reduces the loss.
Description
Technical Field
The utility model relates to an optical cable trouble on-line monitoring field especially relates to an optical cable line fault location and visual system based on AI image differentiates.
Background
The optical cable lines have long longitudinal and transverse extension distances and are in different environments, and a plurality of line towers pass through the terrain of a region to be complicated, so that great inconvenience is brought to the daily work of operation and maintenance personnel. Meanwhile, in real life, damage caused by external natural disasters, artificial stealing and damage, and rough construction of construction vehicles, high-rise machinery and the like easily cause damage to optical cable paths, and cause power communication interruption faults and even casualties. According to statistics, the optical cable accident needs to be repaired for several hours, 50-60 ten thousand yuan will be lost when one optical fiber is interrupted for 1 hour, and the economic loss caused by the optical cable interruption per year exceeds 300 billion yuan of RMB. Therefore, direct or indirect economic loss caused by the interruption of the optical fiber communication line is very large, so that the quick, reliable and accurate optical cable fault location and the type and reason of the optical cable fault need to be provided for maintenance personnel, so that the maintenance time is shortened, and the loss is reduced.
For example, chinese patent document CN106330306A discloses a method for positioning fault point of optical cable based on GIS, which comprises the following steps: installing fault locators in the optical cable lines at intervals, and marking the optical path geographical positions of the fault locators; visually displaying the optical cable line trend and the actual geographic positions of the fault locator, the tower joint box and the tower on a GIS map; the optical path distance between the optical cable disconnection point and the machine room is accurately obtained by using the attenuation of the OTOR photometric signal; locating the cable trip point between adjacent fault locators marked with the optical path geographical location; the fault locator for locating the optical cable disconnection point is located to the actual geographic position on the GIS map, namely the optical cable disconnection point can be located between adjacent fault locators marked by the actual geographic position, and maintenance personnel can maintain according to the actual geographic position of the located optical cable disconnection point. The patent literature can only locate the optical cable disconnection point between adjacent fault locators, does not locate the geographical position of the fault point more accurately, and causes difficulty for maintenance personnel to accurately determine the fault point, and meanwhile, the maintenance personnel cannot know the fault type and reason in advance, so that the difficulty and time for maintenance are increased.
Disclosure of Invention
The utility model mainly solves the technical problems that the prior optical cable fault point positioning system can not accurately position and the maintenance personnel can not know the fault type and reason in advance; the utility model provides an optical cable circuit fault location and visual system based on AI image differentiates, not only can pinpoint the optical cable fault point, maintenance personal can also know the fault type in advance.
The above technical problem of the present invention can be solved by the following technical solutions: the utility model discloses an optical cable line fault location and visual system based on AI image is differentiateed, including monitor terminal, electronic tags and surveillance center, the surveillance center includes GIS server, control display module and central server, monitor terminal and electronic tags respectively with central server be connected, GIS server and control display module respectively with central server be connected, electronic tags sets up on the pole of erectting optical cable line.
The utility model discloses a monitoring terminal monitors the fault point information that optical cable line appears, fault point information transmission to the surveillance center that will acquire, the surveillance center is after receiving the fault point information, call the relevant data in the GIS server, fix a position and the fault type to the optical cable fault point, the analysis of reason, and fix a position the optical cable fault point, optical cable fault type and reason are shown at the control display module, maintenance personal can audio-visually clear definite fault point's concrete position and fault type, be convenient for maintenance personal in time arrive the fault point and carry out maintenance treatment, the troubleshooting efficiency has been improved, prevent that the optical cable trouble maintenance that leads to too much because of inquiring the concrete position of fault point consumes time is untimely, influence optical cable line normal operating.
Preferably, the monitoring terminal includes an OTDR testing module and a monitoring device, where the OTDR testing module and the monitoring device are uniformly distributed in an optical cable line, the OTDR testing module is disposed on an optical cable, and the monitoring device is disposed at the top end of the electric pole.
The OTDR test module is at the measuring in-process, has certain range, it can lead to measuring result inaccurate to exceed the range, the monitoring device is at the in-process of monitoring the bat, have certain range, it can lead to the figure of gathering not clear enough to exceed the range, thereby can not accurate judgement optical cable fault type and reason, in the real application, the total length of optical cable line far exceeds OTDR test module's range and monitoring range of monitoring the bat device, consequently need evenly distributed a plurality of OTDR test module and monitoring device in optical cable line, reduce the error, improve the accuracy, monitoring and clapping the device and setting up on the top of pole, can reduce unnecessary and shelter from, improve the definition of gathering the image, improve the accuracy that fault point type and reason were judged.
Preferably, the monitoring device is a camera rotating in all directions.
The monitoring device is a camera which can rotate in all directions, and can be adjusted to a proper angle according to the positioning of the fault point of the optical cable to collect images, so that interference elements in the images are reduced, and the accuracy of fault point type and reason judgment is improved.
Preferably, the optical cable line fault location and visualization system based on AI image identification further comprises a fault information induction module, and the fault information induction module is arranged in a joint box located on the optical cable line.
The optical cable joint in the optical cable line is located in the joint box, when the optical cable joint breaks down, the monitoring device cannot collect images of the optical cable joint, and the fault information sensing chip can sense the fault information of the optical cable joint and transmits the fault information to the central server to judge the type and the reason of a fault point.
Preferably, the monitoring center further comprises an alarm module, and the alarm module is connected with the center server.
Preferably, the alarm module is an audible and visual alarm.
After the central server positions the optical cable fault point and judges the type and the reason of the fault point, the alarm module sends alarm information to inform relevant maintenance personnel, the audible and visual alarm can send alarm sound when giving an alarm, and the alarm signal lamp flickers at the same time.
The utility model has the advantages that: 1) the geographical position of the optical cable fault point can be accurately positioned, so that maintenance personnel can conveniently and quickly arrive at the site, the unnecessary fault point removing time is reduced, the maintenance efficiency is improved, and the loss is reduced; 2) the type and the reason of the optical cable fault can be judged, so that maintenance personnel can conveniently prepare a maintenance tool and a maintenance scheme in advance, the maintenance efficiency is improved, and the loss is reduced; 3) the whole optical cable line is visualized, so that the optical cable fault point can be clearly and intuitively observed, and maintenance personnel can conveniently make a related maintenance scheme according to the conditions around the fault point.
Drawings
Fig. 1 is a block diagram of a system architecture according to the present invention.
Fig. 2 is a schematic structural diagram of the present invention, in which the distance between the splice closure and the nearest electric pole to the splice closure is less than or equal to one-half span in the faulty section of the optical cable.
Fig. 3 is a schematic structural diagram of the present invention, in which the distance between the splice closure and the nearest electric pole to the splice closure is greater than one-half span in the faulty section of the optical cable.
In the figure, 1, a monitoring terminal, 11, an OTDR testing module, 12, a monitoring device, 13, a solar panel, 2, an electronic tag, 3, a monitoring center, 31, a GIS server, 32, a monitoring display module, 33, a center server, 34, an audible and visual alarm, 5, a fault information sensing chip, 6, an optical cable, 7, an electric pole and 8, a joint box are arranged.
Detailed Description
The technical solution of the present invention is further specifically described below by way of examples and with reference to the accompanying drawings.
Example (b): in this embodiment, an optical cable line fault location and visualization system based on AI image identification is shown in fig. 1, and includes: the monitoring terminal comprises a monitoring terminal 1, an electronic tag 2, a monitoring center 3, an audible and visual alarm 34 and a fault information sensing chip 5, wherein the monitoring terminal comprises a plurality of OTDR testing modules 11 and a plurality of monitoring devices 12, as shown in FIG. 2, the OTDR testing modules are installed on optical cables 6 in an optical cable line at equal intervals, the monitoring devices are distributed at equal intervals and installed at the top of an electric pole, a solar cell panel 13 installed at the top of the electric pole supplies power for the monitoring devices, and the monitoring devices are cameras rotating in all directions in the embodiment; the electronic tag is arranged on the electric pole 7, and the information related to the electronic tag comprises the geographical position of the electric pole, the geographical position of the electric pole adjacent to the joint box 8, the number of faults and the type of faults of the optical cable line adjacent to the electric pole, the reserved length of the optical cable between the electric pole and the adjacent joint box, and the span between the electric pole and the adjacent electric pole; the monitoring center comprises a GIS server 31, a monitoring display module 32 and a central server 33; the fault information sensing chip is arranged in the joint box and close to the optical cable joint; the OTDR testing module, the monitoring device, the electronic tag, the GIS server, the monitoring display module, the fault information sensing chip and the audible and visual alarm are respectively in information interaction with the central server in a wireless transmission mode.
The GIS server displays the whole visual optical cable line in the monitoring display module, namely the trend of the whole optical cable line, the serial number and the positioning of each electric pole, the serial number and the positioning of each joint box, the site positioning near the optical cable line, the OTDR test module and the positioning of the monitoring device can be displayed in the monitoring display module.
The OTDR testing module monitors whether a fault exists in the entire optical cable line in real time, and when the fault exists, as shown in fig. 2 to 3, the OTDR testing module uploads the measured length L from the optical cable fault point to the measurement point (where the OTDR testing module is located) to the monitoring center, and the length L from the optical cable fault point to the measurement point for the central server first subtracts the length d between the OTDR testing module and the splice box in the measurement optical cable line closest to the OTDR testing module1Sequentially subtracting the length L of the optical cable between the adjacent splice boxes in the fault point directioniUp to the final length value L0(L0I.e., the length of the cable fault section) is less than the length of the cable between the splice closures, the cable fault point is positioned between the (n + 1) th splice closure and the (n + 2) th splice closure, if the length of the cable fault section is L0And if the fault point is zero, the fault point of the optical cable is positioned at the joint box, and the range is further reduced. When the distance between the splice closure in the cable fault section and the nearest pole to the splice closure in the cable fault section is less than or equal to one-half span, as shown in fig. 2, point a represents the fault point, a represents the number of the first pole in the cable fault section, and b represents the penultimate pole in the cable fault sectionNumber of (2), length L of fault section of optical cable0The length D of the optical cable between the electric pole and the joint box is firstly subtracted1Sequentially subtracting the span S between adjacent electric poles in the fault section of the optical cableiUp to the final value S0Is less than the span of the electric pole, positions the fault point of the optical cable between the (b + 1) th electric pole and the (b + 2) th electric pole, if the last value S0If the fault point is zero, the fault point of the optical cable is positioned at the electric pole; when the distance between the splice closure in the cable fault section and the nearest pole to the splice closure in the cable fault section is greater than one-half span, as shown in fig. 3, point a indicates the fault point, a indicates the number of the first pole in the cable fault section, b indicates the number of the penultimate pole in the cable fault section, and length L is determined by the length of the cable fault section0Firstly adding the length D of the optical cable between the electric pole and the joint box1Sequentially subtracting the span S between adjacent electric poles in the fault section of the optical cableiUp to the final value S0Is less than the span of the electric pole, positions the fault point of the optical cable between the (b + 1) th electric pole and the (b + 2) th electric pole, if the last value S0And if the fault point is zero, the fault point of the optical cable is positioned at the electric pole. Knowing the distance S between the cable fault point and the nearest pole to the cable fault point0According to the distance S between the optical cable fault point and the electric pole closest to the optical cable fault point0Location of the nearest pole to the cable fault point (L)1,B1) And the azimuth α of the fault section of the optical cable and the north direction calculates the location (L) of the fault point of the optical cable according to the Gauss-Kruger projection formula2,B2) And is marked in the monitoring display module.
If the optical cable fault point is not located at the joint box, the central server controls a camera where the optical cable fault point is located to start, the camera collects images of the optical cable fault point and images of the environment around the optical cable fault point after the angle is adjusted according to the positioning of the optical cable fault point, and the camera transmits the collected images to the central server in a wireless transmission mode.
The central server compares the acquired image of the optical cable fault point with a reference image (the reference image refers to an image shot when the optical cable has no fault), divides and extracts the optical cable fault point part in the optical cable image, then compares the optical cable fault point image obtained by division with the optical cable fault image in an image storage database, and can judge the fault type of the optical cable fault point if the similarity is higher than a set value, wherein the fault type is divided into 3 types of optical cable full-break, partial beam tube interruption in the optical cable and partial optical fiber interruption in the single beam tube.
The central server judges the fault reasons of the optical cable fault points according to the collected images of the surrounding environment of the optical cable fault points and the meteorological environment where the optical cable fault points are located, wherein the fault reasons are divided into external force factors, natural disasters, defects of the optical cables and human factors.
If the optical cable fault point is located at the joint box, the central server screens the fault information according to the fault information uploaded by the fault information induction chip through an analysis method, screens out core fault information, and then judges the fault type and reason of the optical cable fault point.
After the central server positions the optical cable fault point and determines the fault type and the fault reason, the audible and visual alarm sends alarm information, and a maintenance worker makes a corresponding scheme according to the fault type and the fault reason after receiving the alarm information and carries a corresponding tool to go to the fault point immediately for maintenance.
After the maintenance is completed, maintenance personnel can adopt the handheld terminal to scan the electronic tags on the electric pole, read the frequency and the fault type and the reason of the optical cable adjacent to the electric pole, and then combine the environment around the optical cable to judge whether to patrol or not, thereby eliminating hidden dangers in advance and prolonging the service life of the optical cable.
Claims (6)
1. The utility model provides an optical cable line fault location and visual system based on AI image differentiates, its characterized in that includes monitor terminal, electronic tags and surveillance center, the surveillance center includes GIS server, control display module and central server, monitor terminal and electronic tags respectively with central server be connected, GIS server and control display module respectively with central server be connected, electronic tags sets up on the pole of erectting optical cable line.
2. The AI-image-discrimination-based optical cable line fault positioning and visualization system according to claim 1, wherein the monitoring terminal includes an OTDR testing module and a monitoring device, the OTDR testing module and the monitoring device are uniformly distributed in the optical cable line, wherein the OTDR testing module is disposed on an optical cable, and the monitoring device is disposed at a top end of the electric pole.
3. The AI-image-recognition-based optical cable line fault location and visualization system as claimed in claim 2, wherein the monitoring device is an omni-directional rotating camera.
4. The AI-image-recognition-based optical cable line fault location and visualization system as recited in claim 1, further comprising a fault information sensing module disposed within the splice enclosure disposed on the optical cable line.
5. The AI image recognition based optical cable line fault location and visualization system as claimed in any one of claims 1 to 4, wherein the monitoring center further comprises an alarm module, the alarm module being connected to the central server.
6. The AI-image-recognition-based optical cable line fault location and visualization system as in claim 5, wherein said alarm module is an audible and visual alarm.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201921446849.6U CN210431427U (en) | 2019-09-02 | 2019-09-02 | Optical cable line fault positioning and visualization system based on AI image identification |
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| CN201921446849.6U CN210431427U (en) | 2019-09-02 | 2019-09-02 | Optical cable line fault positioning and visualization system based on AI image identification |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112924811A (en) * | 2021-01-28 | 2021-06-08 | 国网浙江杭州市富阳区供电有限公司 | Power pipeline inspection method based on GIS |
| CN114295324A (en) * | 2021-12-27 | 2022-04-08 | 国网上海市电力公司 | Fault detection method, device, equipment and storage medium |
| CN115913349A (en) * | 2022-12-05 | 2023-04-04 | 国网山东省电力公司平邑县供电公司 | Optical cable equipment abnormity positioning method and device, storage medium and terminal |
| CN114295324B (en) * | 2021-12-27 | 2024-04-23 | 国网上海市电力公司 | Fault detection method, device, equipment and storage medium |
-
2019
- 2019-09-02 CN CN201921446849.6U patent/CN210431427U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112924811A (en) * | 2021-01-28 | 2021-06-08 | 国网浙江杭州市富阳区供电有限公司 | Power pipeline inspection method based on GIS |
| CN114295324A (en) * | 2021-12-27 | 2022-04-08 | 国网上海市电力公司 | Fault detection method, device, equipment and storage medium |
| CN114295324B (en) * | 2021-12-27 | 2024-04-23 | 国网上海市电力公司 | Fault detection method, device, equipment and storage medium |
| CN115913349A (en) * | 2022-12-05 | 2023-04-04 | 国网山东省电力公司平邑县供电公司 | Optical cable equipment abnormity positioning method and device, storage medium and terminal |
| CN115913349B (en) * | 2022-12-05 | 2023-09-01 | 国网山东省电力公司平邑县供电公司 | Optical cable equipment abnormality positioning method and device, storage medium and terminal |
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