CN112654975B - Intelligent management method and management system for optical fiber network - Google Patents

Abstract

A fiber optic network intelligent management method and management system, the intelligent management method comprising: information collection (S100), taking photos of paper labels on connectors of all fiber optic routing ports in a machine room through an intelligent terminal to collect pictures; picture processing (S200), generating picture information after processing each of the pictures; information synthesis (S300), merging the picture information and information of the fiber optic routing ports corresponding to the picture information to generate optical port information; information uploading (S400), uploading the optical port information to a backend server or a cloud server; and establishing a database (S500), after the backend server or the cloud server receives the optical port information, generating an optical port information label database, and also discloses a fiber optic network intelligent management system applying the above method.

Description

Optical fiber network intelligent management method and management system

Technical Field

The present invention relates to a management method and a management system of an optical fiber communication system, in particular to an intelligent management method and a management system of optical fiber in an optical fiber network.

Background technique

Paper labels are bundled on fiber optic connectors. When fiber optic connectors are inserted into optical ports, paper labels are required for registration to record information such as the connector's service type, optical path coding, local optical port position, opposite optical port position and length. Paper labels become the basis for distinguishing and identifying optical lines in fiber optic line management, and are also an indispensable part of fiber patching management in computer rooms. How to quickly input, identify and use paper labels is related to the success or failure of information management in computer rooms.

In the prior art, due to the limitation of the early technology of laying optical cables, scientific optical fiber routing management has not been realized, resulting in chaos in the routing of optical fiber lines, involving all links from the trunk line to the end user, especially the management of the optical fiber distribution frame (Optical Distribution Frame, which is used for the termination and distribution of the trunk optical cable at the local end of the optical fiber communication system, and can conveniently realize the connection, distribution and scheduling of optical fiber lines) in the computer room. The non-standardization, loss and damage of paper labels, inaccurate wiring information, and changes in maintenance personnel have brought great hidden dangers to the later maintenance. When a line fails or an error occurs, the search for the line route is very cumbersome, time-consuming and labor-intensive, and it is impossible to meet the customer's needs for network maintenance. This problem has also become a difficult problem in the optical fiber communication industry.

At present, there are two types of paper labels on the optical ports in the telecommunications room: printed and handwritten. Since the on-site optical port routing is manually jumped, paper labels are made, and then recorded and delivered to a dedicated person to upload to the resource management system, but the on-site conditions are complicated, the construction workers' writing is not standardized, and the uploaded data errors cannot be identified. After years of accumulation, the inconsistency rate between the on-site optical port routing information and the routing information of the resource management system is as high as more than 40%. Network troubleshooting requires construction workers who are familiar with the operation of the room, and the troubleshooting time is long, which is in serious conflict with the increasing network maintenance needs.

Summary of the invention

The technical problem to be solved by the present invention is to provide a method and a management system for intelligent management of optical fibers in an optical fiber network in view of the above-mentioned defects of the prior art.

In order to achieve the above object, the present invention provides a method for intelligent management of optical fiber network, which comprises the following steps:

S100, information collection, taking photos of the paper labels on the connectors of all optical fiber routing ports in the machine room through the intelligent terminal;

S200, image processing, generating image information after processing each of the images;

S300, information synthesis, combining the image information and the information of the optical fiber routing port corresponding to the image information to generate optical port information;

S400, information uploading, uploading the optical port information to a backend server or a cloud server; and

S500, establishing a database. After receiving the optical port information, the backend server or cloud server generates an optical port information label database.

In the above-mentioned optical fiber network intelligent management method, the information of the optical fiber routing port includes:

Optical port code, optical path code, dedicated line number, service name, distance between upstream and downstream optical ports, line and end face loss at connection point, historical records of loss changes, jumper and change records, operator information, location address information, connection equipment information and historical records, time node information, routing information, and fault records.

The above-mentioned intelligent management method for optical fiber network, wherein the location address information includes but is not limited to GPS address information and/or the location coordinates corresponding to the paper label on the connector of the optical fiber routing port on the optical fiber distribution frame in the computer room.

The above-mentioned optical fiber network intelligent management method, wherein, when the step S500 establishes the database, it also includes the step of identifying the newly uploaded optical port information by searching and comparing, further including:

S501, judging the font in the picture information in the newly uploaded optical port information, and distinguishing it into printed font, handwritten font or mixed font;

S502: If it is printed, directly perform content recognition and search and compare with the image information in the optical port information already in the optical port information label database;

S503, if it is handwritten, then perform content recognition after trajectory recognition, rubbing recognition or screening recognition, and search and compare with the picture information in the existing optical port information in the optical port information label database;

S504: If it is a mixture, first use the method of step S502 to identify the printed text, and then use the method of step S503 to identify the handwritten text.

The above-mentioned optical fiber network intelligent management method, wherein:

The rubbing identification includes:

Set the image information in the newly uploaded optical port information as a sub-tag, set the image information in the optical port information in the optical port information tag database as a parent tag, scale the sub-tag to the same size as the parent tag, calculate the total pixel points of the sub-tag and the parent tag respectively, if the total pixel points of the sub-tag are the same as those of the parent tag, identify the sub-tag and the parent tag as the same tag.

In the above-mentioned intelligent management method for optical fiber network, the track recognition is to process the handwriting on the picture information in the newly uploaded optical port information as a single pixel and perform track comparison.

In the above-mentioned intelligent management method for optical fiber network, the screening and recognition includes word number recognition, line number recognition and rubbing recognition.

The above-mentioned intelligent management method for optical fiber network, wherein, when the paper label is photographed to collect pictures, it also includes marking at least two positioning points on the paper label to facilitate positioning and alignment during picture processing.

The above-mentioned intelligent management method for optical fiber network, wherein, when processing the image to generate image information, it also includes enhancing and sharpening the image, and aligning the boundaries of the image according to the positioning points.

In order to better achieve the above object, the present invention also provides an optical fiber network intelligent management system, wherein the optical fiber distribution frame in the computer room is managed by the above optical fiber network intelligent management method, and the intelligent management system includes:

An intelligent terminal, used for information collection, identification and supplementary correction of optical fiber routing ports, by taking pictures of paper labels on connectors of all optical fiber routing ports in the machine room, and generating picture information after processing each of the pictures, merging the picture information with information of the optical fiber routing ports corresponding to the picture information to generate optical port information, and sending the optical port information; and

The backend server or cloud server is connected to the smart terminal, and is used to receive the optical port information uploaded by the smart terminal and generate an optical port information label database, and timely update the optical port information label database.

The technical effects of the present invention are:

1) For paper labels, it realizes the effective combination of image recognition and content recognition, and treats the text recognition and image identification of paper labels differently, which greatly improves the recognition efficiency;

2) In addition to textual representation, the optical port information in the database also includes image record information and historical record information storage;

3) When equipment upgrades and eliminations in computer room management lead to equipment code updates, the information records of paper labels are complete and have historical information records and associations;

4) Associate the paper label with background information such as optical port code, connection point line and end face loss information, location address (including but not limited to GPS), connection device and other information, and record the complete historical information of the optical port;

5) Based on the big data calculation of the cloud server, the routing topology of the target optical port is automatically generated according to the image recognition technology and related information;

6) During later maintenance, the optical port information can be retrieved by directly taking photos of the on-site paper labels for identification;

7) During later maintenance, the optical port locator on the patch panel where the paper label is located can be reversely activated through the optical port coding, and the corresponding paper label can be quickly found through sound and light prompts.

The present invention is described in detail below with reference to the accompanying drawings and specific embodiments, but is not intended to limit the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of an intelligent management method according to an embodiment of the present invention;

FIG2 is a schematic diagram of the working process of an embodiment of the present invention;

FIG. 3 is a schematic diagram of the working process of another embodiment of the present invention.

Among them, the reference numerals

Steps S100-S500.

Detailed ways

The structural principle and working principle of the present invention are described in detail below in conjunction with the accompanying drawings:

The optical fiber network intelligent management method and management system of the present invention mainly address the following problems existing in the optical fiber network management and maintenance in the prior art:

1) Image recognition and content recognition are not effectively combined, and there is no distinction between text recognition and image identification in paper labels; the optical port information in the database is mostly expressed in text, and no image storage is available; in the computer room management, due to equipment upgrades and elimination, when the equipment code is updated, the content of the paper label is not changed accordingly, and there is no record and association of historical information;

2) The paper label is not associated with background information such as optical port coding, connection point line and end face loss information, location address, connection equipment, etc., and there is no historical information record of the optical port;

3) Operators cannot directly retrieve optical port information by taking photos of paper labels on site;

4) It is not possible to automatically generate the routing topology of the target optical port based on the big data calculation of the cloud server according to the image recognition technology and the associated information.

Referring to Figures 1 and 2, Figure 1 is a flow chart of an intelligent management method according to an embodiment of the present invention, and Figure 2 is a schematic diagram of a working process according to an embodiment of the present invention. The optical fiber network intelligent management method of the present invention comprises the following steps:

Step S100, information collection, taking photos of the paper labels on the connectors of all the optical fiber routing ports in the machine room through the intelligent terminal; wherein, when taking photos of the paper labels to collect pictures, at least two positioning points may be marked on the paper labels to facilitate positioning and alignment during image processing, such as the outermost upper left corner and the outermost lower right corner, two points for positioning, and other points for deviation, so that the identification can be more accurate if these two points are determined;

Step S200, image processing, generating image information after processing each of the images, and further enhancing and sharpening the images, and aligning the boundaries of the images according to the positioning points;

Step S300, information synthesis, merging the image information and the information of the optical fiber routing port corresponding to the image information to generate optical port information; wherein the information of the optical fiber routing port includes: optical port code, optical path code, dedicated line number, service name, distance between upstream and downstream optical ports, connection point line and end face loss information, loss change history, jumper and change record, operator information, location address information, connection device information and history, time node information, routing information and/or fault record; the location address information may include computer room address information, GPS address information and/or the position coordinates corresponding to the paper label on the connector of the optical fiber routing port on the optical fiber distribution frame in the computer room;

Step S400: uploading information, uploading the optical port information to a backend server or a cloud server; and

Step S500: Establish a database. After receiving the optical port information, the backend server or cloud server generates an optical port information label database.

Wherein, when the database is established in step S500, the step of identifying the newly uploaded optical port information by searching and comparing is further included:

Step S501, judging the font in the picture information in the newly uploaded optical port information, and distinguishing it into printed font, handwritten font or mixed font;

Step S502: If it is printed, the content can be directly identified by OCR and searched and compared with the image information in the optical port information tag database. This is a recognition function that both Alibaba Cloud and Tencent Cloud have. If the comparison result is uncertain, or more than two similar image information are found, it can be finally confirmed by manual comparison;

Step S503, if it is handwriting, generally cloud recognition will have a lot of errors, because the writing is too sloppy and not standardized, then it can be recognized through track recognition, rubbing recognition or screening recognition, and then the content can be recognized, and the image information in the existing optical port information in the optical port information label database can be searched and compared; wherein, the rubbing recognition includes: setting the image information in the newly uploaded optical port information as a sub-tag, setting the image information in the optical port information in the optical port information label database as a parent tag, scaling the sub-tag to the same size as the parent tag, calculating the total pixel points of the sub-tag and the parent tag respectively, if the total pixel points of the sub-tag are the same as the parent tag, then identifying the sub-tag and the parent tag as the same tag. The track recognition is to process the handwriting on the picture information in the newly uploaded optical port information as a single pixel, and perform track comparison. The screening recognition includes word number recognition, line number recognition and rubbing recognition;

Step S504: If it is a mixture, first use the method of step S502 to identify the printed text therein, and search and compare it with the picture information in the optical port information label database. If the unique target picture information is found, retrieve all the information of the paper label corresponding to the target picture information and activate the corresponding optical port code; if the unique target picture information cannot be determined, use the method of step S503 to identify the handwritten text and then perform content recognition, and search and compare it with the picture information in the optical port information label database.

The optical fiber network intelligent management system of the present invention comprises:

An intelligent terminal is used for information collection, identification and supplementary correction of optical fiber routing ports. The intelligent terminal can be, for example, an optical fiber full data detector, or a mobile phone or pad that can be installed with an APP that implements the above-mentioned intelligent maintenance method. It collects pictures by taking pictures of paper labels on connectors of all optical fiber routing ports in the computer room, and generates picture information after processing each of the pictures, merges the picture information with the information of the optical fiber routing port corresponding to the picture information to generate optical port information, and sends the optical port information; and a backend server or cloud server is connected to the intelligent terminal, and is used to receive the optical port information uploaded by the intelligent terminal and generate an optical port information label database, and timely update and maintain the optical port information label database. As can be seen from Figure 2, when updating and maintaining the optical port information label database, after the server receives the optical port information uploaded by the intelligent terminal, it must identify the optical port label and search for the same label with the same area information in the optical port information label database. If a label identical to the optical port information is found, all information of the optical port is downloaded and the optical port information is activated; if there is no label identical to the optical port information, the intelligent terminal is instructed to enter the relevant information of the optical fiber routing port and merge it to generate the optical port information, and the new optical port information is uploaded to the server and entered into the optical port information label database to complete the update and maintenance of the optical port information label database and avoid repeated entry or wrong entry.

In one embodiment of the present invention, a paper label on a connector of a fiber optic routing port (optical port for short) can be photographed and collected on a smart terminal, and the image of the paper label can be selected and processed. The processed image and text format on the smart terminal and address information (including but not limited to GPS address information) can then be uploaded to a cloud server. The cloud server can intelligently identify the image and associate it with image background information such as optical port coding, connection point line and end face loss information, location address (including but not limited to GPS), connection equipment, and other information into a database. At the same time, the content in the paper label can be identified, and the optical port can be associated with other optical ports according to the identified content to form a fiber optic line routing topology map.

See Figure 3, which is a schematic diagram of the working process of another embodiment of the present invention. When taking photos and identifying on site, first take a photo of the paper label on the connector of the optical fiber routing port on the smart terminal (optical fiber full data detector, mobile phone, Pad, etc.), and select and process the image of the paper label. Finally, upload the processed graphic format on the smart terminal to the cloud server after adding address information (including but not limited to GPS address information). The cloud server uses the address information to extract data close to the target location in the database for comparison, so as to correct and timely update the optical port information label database. Among them, printed labels can be directly identified as electronic document information for search; handwritten labels can be screened and compared through image recognition technology.

The present invention can also locate and prompt paper labels on site as needed. When locating paper labels, the optical port code of the paper label to be found can be entered on the intelligent terminal (optical fiber full data detector, mobile phone, Pad, etc.). The optical port code can be a system code or the content and code in the paper label. By clicking the optical port code, the optical port code information page is entered. Through address prompts or navigation, the target optical port code is reached in the computer room, and the activation button is clicked. Through the cloud server, the optical port locator on the cabinet unit where the target optical port code is located is commanded to emit light and sound reminders to guide the construction personnel to the corresponding cabinet. The display screen of the optical port locator prompts the horizontal and vertical coordinates of the location of the target optical port locator to help the construction personnel find the corresponding paper label.

In one embodiment of the present invention, an APP that can implement the above-mentioned intelligent maintenance method can be installed on a smart phone or a pad, and the paper label collection and associated information such as optical port coding, connection point line and end face loss information, location address (including but not limited to GPS), connection equipment and other information merging and processing technology can be used; the APP can scan the paper label to download all the information of the target optical port from the cloud server and use it, that is, the "take a picture and get it instantly" effect. In advance, take a picture of the paper label of the optical port connector on the smart terminal (mobile phone or pad), select and process the picture of the paper label, and finally process it into a standard format. The picture is uploaded to the cloud server through the APP, and the associated information such as optical port coding, connection point line and end face loss information, location address (including but not limited to GPS), connection equipment and other information are also merged and uploaded to the cloud server. The cloud server divides the pictures uploaded by the smart terminal into printed and handwritten pictures for identification, and stores them in the optical port paper label information database after adding the associated information. Based on the big data technology of the cloud server, the routing topology of the target optical port is automatically generated according to the content and associated information of the paper label.

Generally, if a paper label has been entered once, there will be a cabinet label on the cabinet. At this time, you only need to scan the code, enter the cabinet page of the APP, click the label optical port that needs to be collected, and after entering, you can see the optical port information corresponding to the paper label. If there is no optical port information, enter it. The server identifies the paper label and determines whether there is a conflict with other labels. If not, the optical port information corresponding to the paper label is stored in the optical port paper label information database to update the optical port paper label information database; if there is, a conflict event is generated and the maintenance personnel are requested to handle it; if there is optical port information, you can view the paper label image downloaded from the optical port paper label information database of the server and compare it with the on-site label. If it is consistent, other operations can be performed; if it is inconsistent, take a photo of the on-site label, and after the intelligent terminal processes and generates the optical port information, upload it to the server and compare it with the optical port information stored in the optical port paper label information database. If there is such optical port information, a conflict event is generated and the maintenance personnel are requested to handle it; if there is no such optical port information, the optical port information of the paper label is updated.

Generally, when construction workers arrive at the site, they first go to the cabinet where they need to work, use the smart terminal to scan the QR code or RFID code/NFC code on the cabinet, enter the cabinet status on the APP, select default, and then download all the information of the cabinet from the server, including the overall photos of the upper, middle and lower cabinets. There is a simulated circle diagram of the cabinet optical port on the cabinet page. Click the optical port to be collected, and click to become the default optical port. Then all the information of the optical port on the server will appear on the APP of the smart terminal. If it has not been collected, it will be displayed as no information. At this time, the operator can start the collection operation. Among them, taking a paper label and then processing it is mainly used when there is no QR code on the cabinet, no locator assistance, and no photon label system; or a jumper fiber falls out, which is used to directly find information.

When construction workers conduct optical port identification and query on site, they directly take a photo of the paper label on the optical port connector, attach address information (including but not limited to GPS address information) and upload it to the cloud server. The cloud server screens the database information according to the address information, and then compares the content and image of each photo, retrieves the corresponding related information in the database, and the routing topology information, and downloads it to the construction worker's smart terminal for use by on-site construction workers. The optical port coding can also be used to reversely activate the positioning prompt on the distribution frame where the paper label is located, and find the corresponding paper label through sound and light prompts.

The present invention can be applied in the following various occasions:

1. File establishment for newly built computer rooms: When building a new computer room, construction personnel insert the connector into the required optical port according to the requirements, and record the name of the computer room, cabinet number, frame, row and column, business type of the connector, line code, position of the opposite optical port, length, and enter them into a paper label; take a photo of the paper label, and then associate the photo of the paper label and the above optical port information, together with the optical fiber line loss at the optical port, the end face loss of the optical fiber connection point, as well as the personnel information and time information in the APP;

2. Electronicization of archives of existing computer rooms (electronicization of paper labels): Construction personnel take photos of existing paper labels, attach GPS location information, and the system forms a system code based on the computer room address, computer room name, cabinet name number, frame, row and column for search. After the photos of paper labels are automatically aligned and sharpened by the mobile phone APP, they are uploaded to the server for identification and query;

3. Optical port positioning and searching: Construction personnel activate the optical port coding through the APP. The activation information is transmitted through the cloud server to instruct the optical port locator installed on the computer room and cabinet where the optical port is located to emit light and sound, prompting the on-site construction personnel to find the corresponding cabinet, and find the connector on the corresponding optical port according to the optical port coordinates prompted by the APP, or use the prompt light connected to each optical port by the optical port locator to display the optical port position. The paper label bundled on the connector is compared with the paper label in the optical port information downloaded from the APP. If they match, the optical port operation is performed; if the content does not match, the paper label bundled on the optical port connector is photographed and uploaded to the cloud server for identification and retrieval to find the associated information of the wrong optical port. Through historical record query and routing information correction, the optical port information is finally calibrated, so that the on-site information and cloud server information are consistent and correct, which can effectively improve work efficiency and correct errors.

4. Realize big data management after the files of existing computer rooms are digitized: through the digitized information of paper labels of existing computer rooms, all relevant paper label information is connected together through optical path coding and business type to form a routing line diagram, or determine that it is a line, that is, the same route, through the information of the other end;

5. Connector troubleshooting: When a connector fails and the optical port pops out, take a photo of the paper label, download the complete information through the server, confirm the location of the optical port, and quickly solve the fault;

6. Confirmation of abandoned optical fiber connectors: Some unused connectors in the machine room are not cleaned up in time after being unplugged, or connectors that have no business are still plugged into the optical port. The upstream optical fiber connector has been unplugged, but it is still connected here. The construction personnel are not sure whether it is in use, resulting in a waste of resources. At this time, you can take a photo of the paper label, download the entire optical port connector information and routing information, and finally determine whether to discard the optical fiber connector;

7. Test the connection quality of optical port connectors and lines: Construction personnel record the line loss of each connection point of the optical fiber connection and the surface loss test of the connector connection. Through the electronic photo recognition of the paper label, the information download and confirmation of the optical port connector can be completed efficiently. The test data is automatically entered through the full data detector. Finally, the degraded optical fiber lines and connection points are analyzed through historical data graphics, and maintenance is done in advance to eliminate problems before they occur.

8. Paper labels replace electronic labels: Electronic labels have three functions, one is information recording, the second is optical port positioning, and the third is wrong insertion alarm. The first two functions can be realized through the automatic identification of the paper labels of the present invention, while the third wrong insertion alarm is a redundant function. Because the line conditions at the construction site are inconsistent with the design content of the drawings, the construction personnel can adjust which optical port to insert the connector on site. If the connection of any optical port is poor, it is extremely normal to replace the optical port. The judgment standard is whether the service is opened. The construction personnel will eventually write the correct information on the paper label and upload the information by taking photos, which ensures that the on-site information is correct and consistent with the server information, and the work efficiency is high. However, the electronic label of the prior art has an alarm when it is wrongly inserted, and the on-site construction personnel need to notify the background personnel to re-place the work order according to the on-site optical port change work order, which is inefficient.

9. The role of photon labels in the paper label automatic identification system: When some old paper labels in the machine room are lost or wrong, the photon label routing can be used to find the exact routing and optical port connector information, and finally form a new paper label.

Of course, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims attached to the present invention.

Claims (10)

1. A method for intelligent management of optical fiber network, characterized in that it comprises the following steps: S100, information collection, taking photos of the paper labels on the connectors of all optical fiber routing ports in the machine room through the intelligent terminal; S200, image processing, generating image information after processing each of the images; S300, information synthesis, combining the image information and the information of the optical fiber routing port corresponding to the image information to generate optical port information; S400, information uploading, uploading the optical port information to a backend server or a cloud server; and S500, establishing a database, after the backend server or cloud server receives the optical port information, generating an optical port information label database; The information of the optical fiber routing port includes: service name, location address information, connection device information and historical records, and routing information. 2. The optical fiber network intelligent management method according to claim 1, wherein the information of the optical fiber routing port further includes: Optical port coding, optical path coding, dedicated line number, distance between upstream and downstream optical ports, connection point line and end face loss information, historical records of loss changes, jumper and change information, operator information, time node information and fault records. 3. The intelligent management method for optical fiber network as described in claim 2 is characterized in that the location address information includes computer room address information, GPS address information and/or the location coordinates corresponding to the paper label on the connector of the optical fiber routing port on the optical fiber distribution frame in the computer room. 4. The optical fiber network intelligent management method according to claim 2 or 3, characterized in that when the step S500 establishes the database, it also includes the step of identifying the newly uploaded optical port information by searching and comparing, further comprising: S501, judging the font in the newly uploaded optical port information, and distinguishing it into printed font, handwritten font or mixed font; S502: If it is printed, directly perform content recognition and search and compare with the image information in the optical port information already in the optical port information label database; S503, if it is handwritten, then perform content recognition after trajectory recognition, rubbing recognition or screening recognition, and search and compare with the picture information in the existing optical port information in the optical port information label database; S504: If it is a mixture, first use the method of step S502 to identify the printed text therein. If the unique target image information cannot be determined, then use the method of step S503 to identify the handwritten text. 5. The optical fiber network intelligent management method according to claim 4, characterized in that: The rubbing identification includes: Set the image information in the newly uploaded optical port information as a sub-tag, set the image information in the optical port information in the optical port information tag database as a parent tag, scale and rotate the sub-tag to the same size as the parent tag, calculate the total pixel points of the sub-tag and the parent tag respectively, if the total pixel points of the sub-tag are the same as those of the parent tag, identify the sub-tag and the parent tag as the same tag. 6. The optical fiber network intelligent management method as described in claim 4 is characterized in that the track recognition is to process the handwriting on the image information in the newly uploaded optical port information as a single pixel and perform track comparison. 7. The optical fiber network intelligent management method according to claim 5, characterized in that the screening and recognition includes word number recognition, line number recognition and rubbing recognition. 8. The optical fiber network intelligent management method according to claim 4 is characterized in that when the paper label is photographed to collect pictures, it also includes marking at least two positioning points on the paper label to facilitate positioning and alignment during picture processing. 9. The intelligent management method for optical fiber network according to claim 8, characterized in that when processing the image to generate image information, it also includes enhancing and sharpening the image and aligning the boundaries of the image according to the positioning points. 10. An optical fiber network intelligent management system, characterized in that the optical fiber network intelligent management method according to any one of claims 1 to 9 is used to manage the optical fiber distribution frame in the computer room, characterized in that the intelligent management system comprises: An intelligent terminal, used for information collection, identification and supplementary correction of optical fiber routing ports, by taking pictures of paper labels on connectors of all optical fiber routing ports in the machine room, and generating picture information after processing each of the pictures, merging the picture information with information of the optical fiber routing ports corresponding to the picture information to generate optical port information, and sending the optical port information; and The backend server or cloud server is connected to the smart terminal, and is used to receive the optical port information uploaded by the smart terminal and generate an optical port information label database, and timely update the optical port information label database.