System and method for on-site management of optical line

Abstract

The present invention relates to a system for on-site management of an optical line, the system comprising: an optical fusion connector that melts and connects an optical cable in an optical line; an optical fiber identifier that measures the strength of an optical signal of the optical cable; an optical time-domain reflectometer that tests the integrity of the optical cable, checks for connection loss, measures the length of the optical cable, and locates a defect; an enclosure NFC tag in which an NFC tag is attached to an enclosure, and enclosure information and optical line information are stored and managed; a mobile terminal application that wirelessly receives information from the optical fusion connector, the optical fiber identifier, the optical time-domain reflectometer, and the enclosure NFC tag; and a server that analyzes, stores, and manages information transmitted from the mobile terminal application.

Description

Optical line field management system and method

[0001] The present invention relates to a system and method for on-site management of an optical line, and more particularly, to a system and method for maintaining and managing an optical line on-site.

[0002] In general, efficient management of optical fiber lines that transmit data using optical cables within optical communication systems is required, including installation, operation, monitoring, and maintenance.

[0003] Optical fiber field management requires early detection of network defects or losses, monitoring of fiber optic cables, connections, and optical signal loss, and optimization of performance to efficiently operate and maintain fiber optic networks.

[0004] To manage these optical lines on-site, there is a need for methods that can improve the work of field workers and increase efficiency through real-time information provision, efficient work management, and convenient documentation.

[0005] Furthermore, in mobile communication systems, line number sheets (LNs) are documents used to assign and manage line numbers. Line information was recorded by handwriting it on a sticker and attaching it. In this case, after line repairs, a new LN was created by hand and attached over the original LN.

[0006] However, this method of manually writing and managing the system has the problem that when checking the optical path and updating the line number list periodically, each change must be manually written down, and in case of problems caused by errors due to manual writing, a long time is spent finding and correcting them.

[0007] The present invention, which aims to solve the above problems, provides an optical line field management system and method that can efficiently perform maintenance and management of an optical line through a mobile terminal app.

[0008] In addition, the present invention provides an optical line field management system and method that can efficiently perform optical line field management and accurately manage data by attaching an NFC (Near Field Communication) tag to a body.

[0009] The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0010] In order to achieve the above object, the optical line field management system according to the present invention comprises: an optical fusion splicer for fusing and connecting an optical cable of an optical line; an optical core tester for measuring the optical signal intensity of the optical cable; an optical time-domain reflectometer for testing the integrity of the optical cable, confirming connection loss, measuring the length, and finding defects; an enclosure NFC (Near Field Communication) tag unit for managing enclosure information and optical line information through an NFC (Near Field Communication) tag attached to the enclosure;

[0011] It is characterized by including a mobile terminal app that wirelessly receives information from the optical fusion splicer, the optical core line comparator, the optical time domain reflectometer, and the body NFC tag; and a server that analyzes, stores, and manages information transmitted from the mobile terminal app.

[0012] The optical fusion splicer is characterized by including a communication unit that transmits data input during fusion and a fusion connection image to the mobile terminal app via Bluetooth communication; a display unit that can check the degree of loss of the optical cable occurring during fusion; and a sensor unit that collects field data through a temperature sensor, a humidity sensor, a pressure sensor, and a touch sensor.

[0013] The above display unit is characterized in that time, connection mode, sleeve length, Bluetooth connection, battery level, X / Y image, loss value, core angle, core offset, and cutting angle (left / right) are displayed.

[0014] The optical fiber line comparator is characterized by including a communication unit capable of Bluetooth communication that transmits optical signal intensity data to the mobile terminal app, and a display unit that displays frequency, Bluetooth connection, battery level, signal direction, measured value, and wavelength value.

[0015] The above-mentioned body NFC tag section is characterized in that it stores the electric pole, manhole number, body number, cable number, cable core number, core connection information, diagonal line information, and worker information.

[0016] It is characterized in that the NFC tag is attached to any one of the exterior / interior of the ship, the optical path, and the optical path unit.

[0017] The above server is characterized by storing and managing optical fusion connection information, optical fiber line diagonal presence / absence measurement information, and body and optical path information transmitted from the mobile terminal app.

[0018] The above server or the mobile terminal app is characterized in that it receives connection image data taken of the optical cable connection portion through the optical fusion splicer from the mobile terminal app, analyzes it using artificial intelligence (AI) to determine whether it is good or bad, and stores and manages it.

[0019] The above server is characterized in that it receives the optical signal intensity data of the optical cable measured through the optical fiber line tester from the mobile terminal app, analyzes whether there is a slant line, and stores and manages it.

[0020] The above-mentioned obliqueness is characterized in that the optical core of the optical cable is determined to be oblique if the optical signal intensity of the optical cable is -50 dB (Decibel) or lower based on the optical signal intensity of the optical cable.

[0021] The above server is characterized in that it receives loss, defect, and refraction points of an optical cable from the mobile terminal app through the optical time domain reflectometer, analyzes the length, loss, transmission speed, splice, and damage of the optical fiber, and stores and manages them.

[0022] The above server and the mobile terminal app are characterized in that they receive internal photographic image data of the vessel after optical path work from the mobile terminal app, analyze it using artificial intelligence (AI), determine whether it passes or fails, and store and manage it.

[0023] The above server is characterized by receiving real-time fusion splicing data information for each worker after optical line work from a mobile terminal app, and storing and managing real-time work status and work results for each worker.

[0024] In addition, the optical line field management method performed by the optical line field management system according to the present invention comprises the following steps: a first step of logging in through an entry screen by executing a mobile terminal app; a second step of displaying an optical fusion splicer icon, an optical core checker icon, a housing NFC tag icon, and a housing photo recognition icon; a third step of analyzing connection image data taken through an optical fusion splicer connected wirelessly by selecting the optical fusion splicer icon using artificial intelligence (AI) on the mobile terminal app or a server to determine whether it is good or bad; a fourth step of receiving optical signal intensity data measured through the wirelessly connected optical core checker icon by selecting the optical core checker icon from the mobile terminal app and determining whether there is a slant on the server; a fifth step of checking housing information and optical line information by selecting the housing NFC tag icon, selecting an optical core to work on, automatically correcting the optical signal intensity data measured through the optical core checker to determine whether there is a slant on the mobile terminal app, and writing and transmitting it to the server via an NFC tag; And it is characterized by including a sixth step of analyzing the image data taken of the inside of the hull after the hull work by selecting the hull photo recognition icon using artificial intelligence (AI) in the mobile terminal app or the server to determine whether it is good or bad.

[0025] The third step is characterized by including a step 3-1 of selecting the optical fusion splicer icon and wirelessly connecting to the optical fusion splicer, a step 3-2 of wirelessly transmitting connection image data captured by a camera after fusion splicing an optical cable with the optical fusion splicer to the mobile terminal app, and a step 3-3 of analyzing the connection image data using artificial intelligence in the mobile terminal app to determine whether the connection is good or bad, or transmitting the connection image data to a server via the mobile terminal app and analyzing it using artificial intelligence to determine whether the connection is good or bad.

[0026] It is characterized by further including a third to fourth step of transmitting the number of times an arc occurs in an electrode rod when fusing an optical cable through the optical fusion splicer, the number of times or cutting angles of an optical cable cut by a blade, and the number of times a battery is charged to the mobile terminal app or the server to determine whether to replace the electrode rod, blade, and battery.

[0027] The above-mentioned fourth step is characterized by including a step 4-1 of selecting the optical fiber cable checker icon and wirelessly connecting to the optical fiber cable checker, a step 4-2 of wirelessly transmitting the optical signal intensity of the optical cable to the mobile terminal app using the optical fiber cable checker, and a step 4-3 of transmitting the optical signal intensity data to the server via the mobile terminal app to analyze whether there is a slant line and storing and managing the data.

[0028] The above-mentioned fifth step is characterized by including a step 5-1 of selecting the above-mentioned body NFC tag icon and reading the body NFC tag through the mobile terminal app to check the body information and the optical path information, a step 5-2 of selecting the optical core to be worked on and connecting it wirelessly to measure the optical signal intensity through the optical core line comparator, a step 5-3 of wirelessly transmitting the optical signal intensity data of the optical core line comparator to the mobile terminal app to check whether the line is slanted and automatically correct it, and a step 5-4 of writing the optical path correction information through the NFC tag and transmitting it to the server through the mobile terminal app to store and manage it.

[0029] The above-mentioned sixth step is characterized by including a step 6-1 of selecting the hull photo recognition icon, a step 6-2 of taking a picture of the hull with a mobile terminal after the hull work and transmitting the hull image data to the mobile terminal app, and a step 6-3 of analyzing the hull image data using artificial intelligence in the mobile terminal app to determine good or bad connection, or transmitting the hull image data to the server through the mobile terminal app and analyzing it using artificial intelligence to determine good or bad connection.

[0030] In addition, the computer program according to the present invention is characterized in that it includes a computer program in which commands for executing a method for managing an optical line site are stored in a recording medium by being coupled to a computer device.

[0031] According to the present invention as described above, various effects as follows occur.

[0032] According to the present invention, maintenance and management of optical lines can be efficiently performed through a mobile terminal app, thereby maintaining the stability and performance of the network.

[0033] In addition, according to the present invention, by attaching an NFC tag to a body, on-site management of an optical line can be efficiently performed, and information for constructing an optical line and resolving defects in the optical line can be provided, thereby reducing work time and reducing costs.

[0034] In addition, according to the present invention, since the presence or absence of a defect after optical fusion splicing can be confirmed in real time on site, it is possible to immediately know whether rework is necessary, thereby eliminating the work costs and work time that were previously incurred due to rework in the event of a defect.

[0035] In addition, according to the present invention, the administrator can check in real time on the server information such as optical fusion connection information, optical core line diagonal measurement information, and body and optical path information through NFC tags through a mobile terminal app, thereby enabling synchronization between the field and the server.

[0036] Figure 1 is a configuration diagram showing an optical path field management system according to the present invention.

[0037] Figure 2a is a screen showing the login process of a mobile terminal app according to the present invention.

[0038] Figure 2b is a screen showing the optical fusion splicer connection process of a mobile terminal app according to the present invention.

[0039] Figure 2c is a screen showing the process of connecting an optical fiber line detector of a mobile terminal app according to the present invention.

[0040] Figure 2d is a screen showing the NFC tag process of a mobile terminal app according to the present invention.

[0041] Figure 2e is a screen showing the body photo recognition process of the mobile terminal app according to the present invention.

[0042] Figure 3a is a flowchart showing a method for managing an optical path on-site using an optical fusion splicer according to the present invention.

[0043] Figure 3b is a flowchart showing a method for managing an optical path on-site using an optical line comparator according to the present invention.

[0044] Figure 3c is a flowchart showing a method for managing an optical path on-site using an NFC tag according to the present invention.

[0045] Figure 3d is a flowchart showing a method for managing an optical path on-site using body photo recognition according to the present invention.

[0046] FIG. 4 is a drawing showing a computing device according to an embodiment of the present invention.

[0047] Below, with reference to the attached drawings, embodiments of the present invention are described in detail so that those skilled in the art can easily implement the invention. However, the present invention can be implemented in various different forms and is not limited to the embodiments described herein. In addition, in the drawings, parts irrelevant to the description are omitted for clarity of description, and similar parts are designated with similar reference numerals throughout the specification.

[0048] In this specification and drawings (hereinafter referred to as “this specification”), duplicate descriptions of identical components are omitted.

[0049] Additionally, when a component is referred to herein as being "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may be other components present in between. Conversely, when a component is referred to herein as being "directly connected" or "directly connected" to another component, it should be understood that there are no other components present in between.

[0050] Additionally, the terms used herein are only used to describe specific embodiments and are not intended to limit the present invention.

[0051] Also, in this specification, singular expressions may include plural expressions unless the context clearly indicates otherwise.

[0052] In addition, in this specification, it should be understood that terms such as “include” or “have” are intended to specify only the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, and do not exclude in advance the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0053] Also, in this specification, the term 'and / or' includes a combination of multiple listed items or any item among multiple listed items. In this specification, 'A or B' can include 'A', 'B', or 'both A and B'.

[0054] Additionally, detailed descriptions of known functions and configurations that may obscure the gist of the present invention will be omitted in this specification. Hereinafter, an optical line field management system and method according to an embodiment of the present invention will be described with reference to the drawings.

[0055]

[0056] Figure 1 is a configuration diagram showing an optical path field management system according to the present invention.

[0057] Referring to FIG. 1, the optical line field management system according to the present invention may be configured to include an optical splicer (10), an optical core line comparator (20), an optical time domain reflectometer (OTDR) (30), an embedded NFC (Near Field Communication) tag (40), a mobile terminal (50), and a server (60).

[0058] The above optical fusion splicer (10) can connect an optical cable of an optical path and another optical cable by melting them into one.

[0059] This optical fusion splicer (10) may include a communication unit that transmits data input during fusion and a fusion splicing image to a mobile terminal (50) via Bluetooth communication, a display unit that can check the loss of the optical cable occurring during the fusion, and a sensor unit that collects field data through a temperature sensor, a humidity sensor, a pressure sensor, a touch sensor, etc. Here, the display can display time, connection mode, sleeve length, Bluetooth connection, battery level, X / Y image, loss value, core angle, core offset, and cutting angle (left / right), etc.

[0060] The above optical fiber line tester (20) is a device for measuring the optical signal intensity of an optical cable.

[0061] The optical fiber tester (20) is used in on-site management or maintenance of optical fiber lines, and can analyze signals transmitted by optical cables or check the presence or absence of optical cable signals. Here, the optical fiber tester (20) may include a communication unit capable of Bluetooth communication that transmits optical signal intensity data to a mobile terminal (500), and a display unit that displays frequency, Bluetooth connection, battery level, signal direction, measured values, wavelength values, etc. In addition, the optical fiber tester (300) further includes a PD sensor unit, an amplifier, an MCU, and a memory, which are widely known technologies in this technical field, so a detailed description thereof will be omitted.

[0062] The optical time-domain reflectometer (30) above is a device that can test the integrity of an optical cable, check connection loss, measure length, and find defects, and can analyze the length, loss, transmission speed, splicing, and damage of an optical fiber. Here, the optical time-domain reflectometer (30) is a widely known technology in this technical field, so a detailed description thereof will be omitted.

[0063] The optical time domain reflectometer (30) may further include a communication unit capable of Bluetooth communication for transmitting measured data to a mobile terminal (50). That is, the optical time domain reflectometer (30) can transmit measured data to a mobile terminal (50).

[0064] The above-mentioned housing NFC (Near Field Communication) tag unit (40) is attached to the housing (41) by an NFC tag (42) for short-range communication on the outside of the housing, inside the housing, or as an integral part of the housing to a cover case so that housing information and optical line information can be stored and managed. That is, the NFC tag (42) can store and manage information such as a pole, manhole number, housing number, cable number, cable core number, core connection information, diagonal line information, and worker information. Here, the housing (41) includes 4 to 8 optical lines, and the optical lines include 2 to 24 optical line units, and the optical line units can be configured by bundling 6, 12, 24, etc. optical cables, and the NFC tag (42) can be attached to an optical line or optical line unit in addition to the housing (41).

[0065] The above-mentioned mobile terminal (50) can wirelessly receive information from an optical fusion splicer (10), an optical core line comparator (20), an optical time domain reflectometer (30), and an NFC tag unit (40) and transmit the information to a server (60).

[0066] The above server (60) can analyze, store, and manage information transmitted from a mobile terminal (50). That is, the server (60) can store and manage optical fusion splicing information, optical fiber diagonal presence / absence measurement information, and body and optical path information transmitted from a mobile terminal (50).

[0067] At this time, the administrator can check the information transmitted to the server (60) in real time from the server (60). That is, through sharing between the server (60) and the administrator's mobile terminal (50), the administrator can efficiently perform operation and maintenance of the optical network.

[0068] The above server (60) can receive connection image data taken of the optical cable connection portion through the optical fusion splicer (10) from an app installed on a mobile terminal (50) (hereinafter referred to as the "mobile terminal (50) app") and analyze it using artificial intelligence (AI) based on a machine learning or deep learning model. Meanwhile, the analyzed image data can be used to determine whether the optical cable is good or bad, and can be stored and managed in the server (60). At this time, the manager can check in real time on-site whether there is a defect after the optical fusion splicing through the manager's mobile terminal (50). In other words, the manager can immediately know whether the optical fusion splicing of the optical cable requires reworking, thereby eliminating the work costs and work time that were incurred due to reworking in the event of a defect in the past.

[0069] Here, the connection image data captured by the optical cable connection portion through the optical fusion splicer (10) can be analyzed using artificial intelligence (AI) based on machine learning or deep learning models in a mobile terminal (50) app to determine whether it is good or bad, and the good or bad determination result data can then be stored and managed in a server (60). At this time, the server (60) can store fusion splicing comparison data information for each logged-in worker, and the manager can then use the data information stored in the server (60) to perform evaluation management on the worker.

[0070] In addition, the server (60) may receive the optical signal intensity of the optical cable from the mobile terminal (50) app through the optical fiber line analyzer (20), analyze whether there is a slant line, and store and manage the same. In this case, if the optical signal intensity is -50 dB or lower, it may be determined to be a slant line.

[0071] In addition, the server (60) can receive real-time fusion splicing data information for each worker after optical path work from a mobile terminal (50) app, and can store real-time work status and work results for each worker, and the manager can manage workers based on the work results for each worker stored in the server (60).

[0072] In addition, the server (60) can receive information on loss, defects, and refraction points of an optical cable from a mobile terminal (50) app via an optical time domain reflectometer (30). In addition, the server (60) can analyze the length, loss, transmission speed, splice, and damage of an optical fiber using various information received from the mobile terminal (50) app, store the data in the server (60), and manage the stored data.

[0073] The server (60) can receive the optical signal intensity data of the optical cable measured by the optical core tester (20) from the mobile terminal (50) app, analyze whether there is a slant line, and store and manage it. Meanwhile, whether there is a slant line can be determined based on the optical signal intensity of the optical cable. In this case, if the optical signal intensity is -50 dB or lower, the optical core line of the optical cable can be determined to be a slant line, but this is not limited thereto, and the settings can be changed according to the user environment.

[0074] In addition, the server (60) can receive the internal photographic image data of the hull (41) after the optical line work from the mobile terminal (50) app, analyze it with artificial intelligence (AI) based on a deep learning model, determine whether it passes or fails, and store and manage it. Here, the internal photographic image data of the hull (41) after the optical line work can be received from the mobile terminal (50) app, analyzed with artificial intelligence (AI) based on a deep learning model, determine whether it passes or fails, and store and manage it.

[0075]

[0076] FIG. 2a is a screen showing a login process of a mobile terminal app according to the present invention, FIG. 2b is a screen showing an optical fusion splicer connection process of a mobile terminal app according to the present invention, FIG. 2c is a screen showing an optical core line comparison process of a mobile terminal app according to the present invention, FIG. 2d is a screen showing a case NFC tag process of a mobile terminal app according to the present invention, FIG. 2e is a screen showing a case photo recognition process of a mobile terminal app according to the present invention, FIG. 3a is a flowchart showing an optical line field management method using an optical fusion splicer according to the present invention, FIG. 3b is a flowchart showing an optical line field management method using an optical core line comparison device according to the present invention, FIG. 3c is a flowchart showing an optical line field management method using an case NFC tag according to the present invention, and FIG. 3d is a flowchart showing an optical line field management method using case photo recognition according to the present invention.

[0077] Referring to FIGS. 2 and 3, the optical line field management method according to the present invention includes: a first step of executing a mobile terminal app and logging in through an entry screen; a second step of displaying an optical fusion splicer icon, an optical core checker icon, a housing NFC tag icon, and a housing recognition photo icon; a third step of analyzing connection image data taken through an optical fusion splicer connected wirelessly by selecting the optical fusion splicer icon using artificial intelligence (AI) on a mobile terminal app or a server to determine whether it is good or bad; a fourth step of receiving optical signal intensity data measured through an optical core checker connected wirelessly by selecting the optical core checker icon from a mobile terminal app and determining whether there is a slant on the server; a fifth step of checking housing information and optical line information by selecting the housing NFC tag icon, selecting an optical core to work on, automatically correcting the optical signal intensity data measured through the optical core checker to determine whether there is a slant on the mobile terminal app, and writing and transmitting it to a server via an NFC tag; And it may include a sixth step of selecting the above-mentioned hull photo recognition icon, analyzing the image data taken of the inside of the hull after the hull work using artificial intelligence (AI) in a mobile terminal app or server to determine whether it is good or bad.

[0078] As shown in Fig. 2a, the first and second steps of the system are to run the mobile terminal (50) app and then log in through the entry screen (S100). At this time, the optical fusion splicer icon (100), the optical core line checker icon (200), the body NFC tag icon (300), the body recognition photo icon (400), and the optical time domain reflectometer icon (not shown) may be displayed on the screen.

[0079] As shown in FIG. 2b and FIG. 3a, the third step is to select the optical fusion splicer icon (100) (S110) and connect to the optical fusion splicer (10) wirelessly (Bluetooth) (S120).

[0080] Next, after the optical cable is fused and spliced ​​using the optical splicer (10), the connection image data captured by the camera is transmitted to the mobile terminal (50) app through a communication unit capable of Bluetooth communication (S130).

[0081] Next, the connection image data is analyzed by artificial intelligence based on a machine learning or deep learning model in the mobile terminal (50) app to determine whether it is a normal connection (good) or a bad connection, or the connection image data is transmitted to the server (60) through the mobile terminal (50) app and analyzed by artificial intelligence based on a machine learning or deep learning model to determine whether it is a good or bad connection (S140). Here, the connection image data in the mobile terminal (50) app can be analyzed by artificial intelligence based on a machine learning or deep learning model to determine whether it is a normal connection or a bad connection.

[0082] In addition, in the step (S120) of connecting to the optical fusion splicer (10), the number of times the electrode arcs occur, the number of times or angles at which the blade cuts the optical cable, the number of times the battery is charged, etc. are transmitted to the mobile terminal (50) app or server (60) when the optical cable is fused through the optical fusion splicer (10), so that it is possible to determine whether the electrode, blade, and battery should be replaced and to notify an alarm and warning through the app. In addition, the number of remaining fusions, the amount of arc discharge, the time, etc. can be determined and an alarm and warning can be notified through the app.

[0083] As shown in FIGS. 2c and 3b, the fourth step selects the optical fiber line detector icon (200) (S210) and connects to the optical fiber line detector (20) wirelessly (Bluetooth) (S220).

[0084] Next, the optical signal intensity of the optical cable is transmitted to the mobile terminal (50) app through a communication unit capable of Bluetooth communication using the optical fiber line comparator (20) (S230).

[0085] Next, the optical signal intensity can be transmitted to the server (60) via the mobile terminal (50) app to analyze whether there is a slant line, and store and manage it (S240). Here, if the optical signal intensity is -50 dB or lower, it can be determined to be a slant line. Here, the optical signal intensity that serves as the criterion for determining whether there is a slant line can be changed.

[0086] As shown in FIGS. 2d and 3c, the fifth step selects the hull NFC tag icon (300) (S310), reads the hull NFC tag (40) through a mobile terminal (50) app to check the hull information and optical path information (S320), selects the optical fiber to be worked on, connects wirelessly (Bluetooth), and measures the optical signal intensity through the optical fiber tester (20) (S330).

[0087] Next, the optical signal intensity data is transmitted to the mobile terminal (50) app through the Bluetooth communication-capable communication unit of the optical fiber line detector (20), and the mobile terminal (50) app checks whether there is a diagonal line and automatically corrects it (S340).

[0088] Next, the optical path correction information is transmitted to the server (60) via the NFC tag and the mobile terminal (50) app to be stored and managed (S350).

[0089] As shown in FIGS. 2e and 3d, the sixth step selects the body photo recognition icon (400) (S410).

[0090] Next, after the hull work, the hull work content is captured by taking a picture of the inside of the hull (41) using a mobile terminal (50) and the image data of the inside of the hull is transmitted to the server (60) via the mobile terminal (50) app (S430).

[0091] Next, the server (60) analyzes the image data inside the hull using artificial intelligence (AI) based on a machine learning or deep learning model to determine whether it is good or bad (S440). At this time, if it is bad, a rework notification may be displayed. Here, the hull image data may include, but is not limited to, whether a cable is bent, whether a screw is filled, or whether a gasket is filled.

[0092] Meanwhile, the above-mentioned body image data can be analyzed using artificial intelligence based on machine learning or deep learning model through a mobile terminal (50) app to determine whether it is good or bad.

[0093] In addition, when the optical time domain reflectometer icon (not shown) is selected on the mobile terminal (50) app, the optical time domain reflectometer (30) is connected wirelessly, and the data measuring loss, defects, and refraction points of the optical cable with the optical time domain reflectometer (30) are transmitted to the mobile terminal (50) app, and the measured data are transmitted to the server (60) through the mobile terminal (50) app, and the length, loss, transmission speed, splicing, and damage of the optical fiber can be stored and managed by analyzing the measured data.

[0094]

[0095] FIG. 4 is a diagram illustrating a computing device according to an embodiment of the present invention. The computing device (TN100) of FIG. 4 may be a device described herein (e.g., a mobile terminal (50), an app, a server (60), a device for an optical line field management system, etc.).

[0096] The computing device (TN100) may include at least one processor (TN110), a transmitter / receiver device (TN120), and a memory (TN130). In addition, the computing device (TN100) may further include a storage device (TN140), an input interface device (TN150), an output interface device (TN160), and the like. The components included in the computing device (TN100) may be connected by a bus (TN170) to communicate with each other.

[0097] The processor (TN110) can execute program commands stored in at least one of the memory (TN130) and the storage device (TN140). The processor (TN110) may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor in which methods according to embodiments of the present invention are performed. The processor (TN110) may be configured to implement procedures, functions, methods, etc. described in relation to embodiments of the present invention. The processor (TN110) may control each component of the computing device (TN100).

[0098] The memory (TN130) and the storage device (TN140) can each store various information related to the operation of the processor (TN110). The memory (TN130) and the storage device (TN140) can each be configured with at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory (TN130) can be configured with at least one of a read-only memory (ROM) and a random access memory (RAM).

[0099] The transceiver (TN120) can transmit or receive wired or wireless signals. The transceiver (TN120) can be connected to a network to perform communication.

[0100]

[0101] Meanwhile, the embodiments of the present invention are not implemented only through the devices and / or methods described so far, but may also be implemented through a program that realizes a function corresponding to the configuration of the embodiments of the present invention or a recording medium on which the program is recorded, and such implementation can be easily implemented by a person skilled in the art to which the present invention pertains based on the description of the embodiments described above.

[0102]

[0103] While the embodiments of the present invention have been described above with reference to the attached drawings, those skilled in the art will appreciate that the present invention can be implemented in other specific forms without altering the technical concept or essential features thereof. Therefore, the embodiments described above should be understood to be illustrative in all respects and not restrictive.

Claims

1. An optical fusion splicer that connects optical cables in an optical path by melting them; An optical fiber line comparator for measuring the optical signal intensity of the above optical cable; An optical time domain reflectometer to test the integrity of the optical cable, verify connection loss, measure length and locate defects; A ship NFC tag section that manages ship information and optical path information through an NFC (Near Field Communication) tag attached to the ship; A mobile terminal app that wirelessly receives information from the optical fusion splicer, the optical core line comparator, the optical time domain reflectometer, and the body NFC tag; and Characterized in that it includes a server that analyzes, stores, and manages information transmitted from the mobile terminal app. Optical line field management system.

2. In paragraph 1, The above optical fusion splicer, A communication unit that transmits data entered during fusion and a fusion connection image to the mobile terminal app via Bluetooth communication; A display unit that can check the loss of the optical cable that occurs during the above fusion; and It is characterized by including a sensor unit that collects field data through a temperature sensor, a humidity sensor, a pressure sensor, and a touch sensor. Optical line field management system.

3. In paragraph 2, The display section is characterized in that the time, connection mode, sleeve length, Bluetooth connection, battery level, X / Y image, loss value, core angle, core offset, and cutting angle (left / right) are displayed. Optical line field management system.

4. In paragraph 1, The above optical fiber line detector, A communication unit capable of Bluetooth communication that transmits optical signal strength data to the above-mentioned mobile terminal app, Characterized in that it includes a display section that displays frequency, Bluetooth connection, battery level, signal direction, measurement value, and wavelength value. Optical line field management system.

5. In paragraph 1, The above-mentioned body NFC tag section is characterized in that it stores the electric pole, manhole number, body number, cable number, cable core number, core connection information, diagonal information, and worker information. Optical line field management system.

6. In paragraph 5, Characterized in that the NFC tag is attached to one of the exterior / interior of the ship, the optical path, and the optical path unit. Optical line field management system.

7. In paragraph 1, The above server is characterized in that it stores and manages optical fusion connection information, optical line diagonal presence / absence measurement information, and body and optical line information transmitted from the mobile terminal app. Optical line field management system.

8. In paragraph 1, The server or the mobile terminal app is characterized in that it receives connection image data taken of the optical cable connection part through the optical fusion splicer from the mobile terminal app, analyzes it using artificial intelligence (AI) to determine whether it is good or bad, and stores and manages it. Optical line field management system.

9. In paragraph 1, The above server is characterized in that it receives the optical signal intensity data of the optical cable measured through the optical core tester from the mobile terminal app, analyzes whether there is a slant line, and stores and manages it. Optical line field management system.

10. In paragraph 9, The above-mentioned oblique line is characterized in that the optical core of the optical cable is determined to be oblique if the optical signal intensity of the optical cable is -50 dB (Decibel) or less based on the optical signal intensity of the optical cable. Optical line field management system.

11. In paragraph 1, The server is characterized in that it receives loss, defects, and refraction points of the optical cable from the mobile terminal app through the optical time domain reflectometer, analyzes the length, loss, transmission speed, splice, and damage of the optical fiber, and stores and manages them. Optical line field management system.

12. In paragraph 1, The above server and the mobile terminal app are characterized in that they receive the internal photograph image data of the vessel from the mobile terminal app after the optical path work, analyze it using artificial intelligence (AI), determine whether it passes or fails, and store and manage it. Optical line field management system.

13. In paragraph 12, The above server is characterized in that it receives real-time fusion connection data information for each worker after optical line work from a mobile terminal app, and stores and manages real-time work status for each worker and work results for each worker. Optical line field management system.

14. In the optical line field management method performed by the optical line field management system, Step 1: Run the mobile terminal app and log in through the entry screen; The second stage displays the optical fusion splicer icon, optical core line comparison icon, body NFC tag icon, and body photo recognition icon; A third step of analyzing the connection image data taken through the optical fusion splicer connected wirelessly by selecting the optical fusion splicer icon and determining whether it is good or bad using artificial intelligence (AI) in the mobile terminal app or server; A fourth step of determining whether or not a line is diagonal is performed by receiving optical signal intensity data measured through a wirelessly connected optical line detector by selecting the above optical line detector icon from the mobile terminal app; A fifth step of selecting the above-mentioned body NFC tag icon to check the body information and optical path information, selecting the optical core to work on, automatically correcting the optical signal intensity data measured through the optical core line comparator by checking whether the line is diagonal in the mobile terminal app, and writing and transmitting it to the server through the NFC tag; and A sixth step of selecting the above-mentioned hull photo recognition icon, analyzing the image data taken of the inside of the hull after the hull work using artificial intelligence (AI) in the mobile terminal app or the server to determine whether the image data is good or bad; characterized in that it includes; How to manage optical fiber lines on site.

15. In paragraph 14, The third step above is, Step 3-1: Select the above optical fusion splicer icon and connect wirelessly to the optical fusion splicer; Step 3-2 of wirelessly transmitting the connection image data captured by the camera after fusion splicing the optical cable with the optical fusion splicer to the mobile terminal app, and It is characterized in that it includes a step 3-3 of analyzing the connection image data using artificial intelligence in the mobile terminal app to determine whether the connection is good or bad, or transmitting the connection image data to a server through the mobile terminal app and analyzing it using artificial intelligence to determine whether the connection is good or bad. How to manage optical fiber lines on site.

16. In paragraph 15, It is characterized in that it further includes a step 3-4 of transmitting the number of times the electrode rod arcs when fusing the optical cable through the optical fusion splicer, the number of times or cutting angles of the optical cable of the blade is cut, and the number of times the battery is charged to the mobile terminal app or the server to determine whether to replace the electrode rod, blade, and battery. How to manage optical fiber lines on site.

17. In paragraph 14, The fourth step above is, Step 4-1: Select the above optical fiber line detector icon to connect wirelessly to the optical fiber line detector; Step 4-2 of wirelessly transmitting the optical signal strength of the optical cable to the mobile terminal app using the optical fiber line comparator, and It is characterized by including a step 4-3 of transmitting the optical signal intensity data to the server through the mobile terminal app, analyzing whether there is a diagonal line, and storing and managing it. How to manage optical fiber lines on site.

18. In paragraph 14, The fifth step above is, Step 5-1: Select the above-mentioned hull NFC tag icon and read the hull NFC tag through the mobile terminal app to check the hull information and optical path information; Step 5-2: After selecting the optical fiber to be worked on, connect it wirelessly and measure the optical signal intensity using the optical fiber tester. Step 5-3 of wirelessly transmitting the optical signal intensity data of the optical line comparator to the mobile terminal app, and automatically correcting the slanted line by checking the presence of the slanted line in the mobile terminal app, and It is characterized by including step 5-4 of storing and managing the optical path correction information by writing it through the NFC tag and transmitting it to the server through the mobile terminal app. How to manage optical fiber lines on site.

19. In paragraph 14, The above 6th step is, Step 6-1: Selecting the above-mentioned body photo recognition icon, Step 6-2: After the hull work, the hull work content is captured by taking a picture of the hull with a mobile terminal and transmitting the hull image data to the mobile terminal app, and It is characterized in that it includes a step 6-3 of analyzing the image data of the body using artificial intelligence in the mobile terminal app to determine whether the connection is good or bad, or transmitting the image data of the body to the server through the mobile terminal app and analyzing it using artificial intelligence to determine whether the connection is good or bad. How to manage optical fiber lines on site.

20. A computer program having instructions stored on a recording medium for executing the optical line field management method according to Article 14 by being combined with a computer device.

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