Optical fiber detection method and system, computer equipment and storage medium

Abstract

The invention relates to an optical fiber detection method and system, computer equipment and a storage medium, and the method comprises the steps: carrying out the real-time monitoring of an optical fiber route, and collecting the real-time state data of the optical fiber route; performing state analysis and mode identification on the real-time state data of the optical fiber route, and generating a corresponding optical fiber abnormality message according to an abnormality when the abnormality is analyzed; and according to the optical fiber abnormity message, obtaining a reflection signal of the optical fiber route, analyzing the signal intensity change and the reflection time difference of the reflection signal to determine an optical fiber abnormity position, and further determining an optical fiber abnormity coordinate according to a preset intelligent label. The optical fiber detection method has the effect of improving the optical fiber detection accuracy and efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of optical fiber detection, and in particular to an optical fiber detection method, system, computer equipment and storage medium. Background Art

[0002] At present, with the rapid development and wide application of information technology, fiber-optic communication technology has become an important pillar in the field of modern communications. Fiber-optic communication has the advantages of large transmission capacity, long transmission distance, and resistance to electromagnetic interference, so it has been widely used in communication networks.

[0003] As fiber optic networks continue to expand and become more complex, fiber optic fault detection and location are becoming increasingly difficult. Traditional fiber optic detection methods can often only detect the connectivity and attenuation of the fiber, but cannot provide detailed information on the fiber optic routing, resulting in inefficient fault location and repair.

[0004] The above-mentioned existing technical solutions have the following defects: the traditional optical fiber detection method is difficult to quickly and accurately locate the fault, so there is room for improvement. Summary of the invention

[0005] In order to improve the accuracy and efficiency of optical fiber detection, the present application provides an optical fiber detection method, system, computer device and storage medium.

[0006] The above-mentioned invention objective of the present application is achieved through the following technical solutions: An optical fiber detection method, the optical fiber detection method comprising: Performing real-time monitoring of optical fiber routing and collecting real-time status data of the optical fiber routing; Performing status analysis and pattern recognition on the real-time status data of the optical fiber routing, and generating a corresponding optical fiber abnormality message according to the abnormality when an abnormality is found in the analysis; According to the optical fiber abnormality message, the reflected signal of the optical fiber route is obtained, and the signal strength change and reflection time difference of the reflected signal are analyzed to determine the optical fiber abnormality position, and the optical fiber abnormality coordinates are further determined according to the preset smart label.

[0007] By adopting the above technical solution, through real-time monitoring and data collection of optical fiber routing, the operating status data of the optical fiber can be obtained in real time, ensuring the timeliness and accuracy of the data, and providing data support for subsequent status analysis and abnormality detection; through analysis and pattern recognition of real-time status data, abnormal conditions in optical fiber operation can be quickly identified. When an abnormality is detected, a corresponding optical fiber abnormality message is generated, which can timely warn of abnormal problems in the optical fiber to remind staff to deal with them in a timely manner; by obtaining reflected signals and analyzing signal strength changes and reflection time differences, the location of optical fiber abnormalities can be accurately determined, which improves the accuracy and efficiency of fault location and reduces the time for fault detection and repair. At the same time, combined with smart label technology, by obtaining the position coordinates of key nodes, the abnormal coordinates are further determined, providing more accurate positioning information, which helps maintenance personnel quickly find the fault point for repair, thereby improving the stability and reliability of the optical fiber network.

[0008] In one example, the present application may be further configured as follows: the status analysis of the real-time status data of the optical fiber routing specifically includes: Extracting optical signal strength from the real-time status data of the optical fiber routing, and generating an optical fiber signal fluctuation anomaly when the fluctuation amplitude of the optical signal strength within a preset time period exceeds a preset fluctuation period; The signal attenuation condition is obtained from the real-time status data of the optical fiber route, and a signal attenuation exception is generated when the signal attenuation condition does not conform to a preset signal attenuation curve.

[0009] By adopting the above technical solution, by extracting the optical signal strength and signal attenuation from the real-time status data of the optical fiber routing, the working status of the optical fiber can be effectively monitored. When it is detected that the optical signal intensity fluctuation amplitude exceeds the preset fluctuation period, an optical fiber signal fluctuation anomaly is generated, and when the signal attenuation does not conform to the preset signal attenuation curve, a signal attenuation anomaly is generated, thereby achieving early warning of optical fiber anomalies and improving the accuracy and timeliness of optical fiber fault detection.

[0010] In one example, the present application may be further configured as follows: the pattern recognition of the real-time status data of the optical fiber routing specifically includes: Acquire historical optical fiber operation data, extract historical normal operation data corresponding to normal operation from the historical optical fiber operation data, and establish an optical fiber normal operation mode according to the historical normal operation data; The real-time status data is pattern-recognized according to the normal operation mode of the optical fiber, and an abnormal operation message is generated when the real-time status data deviates from the normal operation mode of the optical fiber.

[0011] By adopting the above technical solution, by acquiring historical optical fiber operation data and extracting historical normal operation data, an optical fiber normal operation mode is established, and pattern recognition is performed on real-time status data according to the mode. When the real-time status data deviates from the normal operation mode, an operation abnormality message can be generated, thereby effectively identifying abnormal conditions in optical fiber operation, providing accurate fault detection, and improving the operation reliability and maintenance efficiency of the optical fiber network. At the same time, continuously acquiring new historical data can continuously optimize the optical fiber operation model, improve the intelligence level of fault detection, and enable the system to automatically adapt to the optical fiber operation conditions under different environments and usage conditions, improve the accuracy and response speed of detection, reduce manual intervention, and improve the automation and intelligence level of maintenance work.

[0012] In one example, the present application may be further configured as follows: obtaining the reflected signal of the optical fiber route according to the optical fiber abnormality message, and analyzing the signal strength change and reflection time difference of the reflected signal to determine the optical fiber abnormality position, specifically including: Sending an optical pulse signal to an optical fiber and recording a corresponding sending timestamp, and receiving the reflected signal reflected from different positions in the optical fiber and its corresponding receiving timestamp; Determine the optical fiber abnormality message corresponding to the reflected signal according to the signal strength of the reflected signal; The reflection time difference is calculated according to the sending timestamp and the receiving timestamp corresponding to the optical fiber abnormality message, and the transmission distance of the optical pulse signal is calculated according to the reflection time difference, and the optical fiber abnormality position is determined according to the transmission distance of the optical pulse signal.

[0013] By adopting the above technical solution, by sending an optical pulse signal to the optical fiber and recording the sending and receiving timestamps, it is possible to analyze the signal strength change and reflection time difference of the reflected signal, determine the abnormal position of the optical fiber, and accurately locate the optical fiber fault point according to the transmission distance of the optical pulse signal, thereby realizing the rapid positioning of optical fiber faults, improving the maintenance efficiency and fault handling speed of the optical fiber network, quickly and accurately locating the fault position in a complex optical fiber network, reducing the time and labor cost of troubleshooting, improving the stability and reliability of the optical fiber network, and ensuring the continuity of communication services and the stability of user experience.

[0014] In one example, the present application may be further configured as follows: the further determining of the optical fiber abnormal coordinates according to the preset smart label specifically includes: Obtaining the preset smart tag installed at the key node of the optical fiber, and obtaining the position coordinates of the key node of the optical fiber from the preset smart tag; The optical fiber abnormality coordinates corresponding to the optical fiber abnormality message are calculated and determined according to the optical fiber abnormality position and the position coordinates of the optical fiber key node.

[0015] By adopting the above technical solution, by obtaining the preset smart tags installed at the key nodes of the optical fiber and their position coordinates, and calculating and determining the optical fiber abnormality coordinates based on the optical fiber abnormal position and the position coordinates of the key nodes, it is possible to provide accurate fault location information for optical fiber maintenance personnel, improve the accuracy and efficiency of maintenance work, reduce errors and time in manual operations, facilitate and quickly repair optical fiber faults, improve the maintenance efficiency and fault handling speed of the optical fiber network, and improve the overall management level and operation efficiency of the optical fiber network.

[0016] In one example, the present application may be further configured as follows: the optical fiber detection method further includes: Obtaining detailed installation information of optical fiber routing, and constructing an optical fiber distribution image based on the detailed installation information; When the optical fiber abnormality message and the corresponding optical fiber abnormality coordinates are detected, the abnormal position is marked and the abnormal information is entered in the optical fiber distribution image according to the optical fiber abnormality message and the corresponding optical fiber abnormality coordinates.

[0017] By adopting the above technical solution, by obtaining detailed installation information of optical fiber routing and constructing an optical fiber distribution image, when an optical fiber abnormality message and its corresponding optical fiber abnormality coordinates are detected, the abnormal position can be marked and the abnormal information can be entered in the optical fiber distribution image, and the operating status of the optical fiber network can be visually managed, which improves the intuitiveness and convenience of fault location and processing, realizes comprehensive and systematic management of optical fiber faults, and improves the maintenance efficiency and fault processing speed of the optical fiber network.

[0018] The second object of the invention is achieved by the following technical solutions: An optical fiber detection system, the optical fiber detection system comprising: A data acquisition module, used to monitor the optical fiber route in real time and collect real-time status data of the optical fiber route; An abnormality analysis module, used for performing status analysis and pattern recognition on the real-time status data of the optical fiber routing, and generating a corresponding optical fiber abnormality message according to the abnormality when an abnormality is analyzed; The abnormality positioning module is used to obtain the reflected signal of the optical fiber route according to the optical fiber abnormality message, and analyze the signal strength change and reflection time difference of the reflected signal to determine the optical fiber abnormality position, and further determine the optical fiber abnormality coordinates according to the preset smart label.

[0019] By adopting the above technical solution, through real-time monitoring and data collection of optical fiber routing, the operating status data of the optical fiber can be obtained in real time, ensuring the timeliness and accuracy of the data, and providing data support for subsequent status analysis and abnormality detection; through analysis and pattern recognition of real-time status data, abnormal conditions in optical fiber operation can be quickly identified. When an abnormality is detected, a corresponding optical fiber abnormality message is generated, which can timely warn of abnormal problems in the optical fiber to remind staff to deal with them in a timely manner; by obtaining reflected signals and analyzing signal strength changes and reflection time differences, the location of optical fiber abnormalities can be accurately determined, which improves the accuracy and efficiency of fault location and reduces the time for fault detection and repair. At the same time, combined with smart label technology, by obtaining the position coordinates of key nodes, the abnormal coordinates are further determined, providing more accurate positioning information, which helps maintenance personnel quickly find the fault point for repair, thereby improving the stability and reliability of the optical fiber network.

[0020] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned optical fiber detection method when executing the computer program.

[0021] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the optical fiber detection method are implemented.

[0022] In summary, this application includes the following beneficial technical effects: 1. Through real-time monitoring and data collection of optical fiber routing, the operation status data of the optical fiber can be obtained in real time to ensure the timeliness and accuracy of the data, providing data support for subsequent status analysis and anomaly detection; through analysis and pattern recognition of real-time status data, abnormal conditions in the operation of the optical fiber can be quickly identified. When an abnormality is detected, a corresponding optical fiber abnormality message is generated, which can timely warn of abnormal problems in the optical fiber to remind the staff to deal with them in a timely manner; by obtaining the reflected signal and analyzing the signal strength change and reflection time difference, the location of the optical fiber abnormality can be accurately determined, which improves the accuracy and efficiency of fault location and reduces the time for fault detection and repair. At the same time, combined with intelligent label technology, by obtaining the location coordinates of key nodes, the abnormal coordinates are further determined, providing more accurate positioning information, which helps maintenance personnel quickly find the fault point for repair, thereby improving the stability and reliability of the optical fiber network; 2. By acquiring historical fiber operation data and extracting historical normal operation data, a normal operation mode of the fiber is established. According to the mode, pattern recognition is performed on the real-time status data. When the real-time status data deviates from the normal operation mode, an operation abnormality message can be generated, thereby effectively identifying abnormal conditions in the fiber operation, providing accurate fault detection, and improving the operation reliability and maintenance efficiency of the fiber network. At the same time, the continuous acquisition of new historical data can continuously optimize the fiber operation model, improve the intelligent level of fault detection, enable the system to automatically adapt to the fiber operation conditions under different environments and usage conditions, improve the accuracy and response speed of detection, reduce manual intervention, and improve the automation and intelligence level of maintenance work; 3. By sending optical pulse signals to the optical fiber and recording the sending and receiving timestamps, it is possible to analyze the signal strength changes and reflection time differences of the reflected signals, determine the abnormal position of the optical fiber, and accurately locate the optical fiber fault point according to the transmission distance of the optical pulse signal, thereby realizing the rapid location of optical fiber faults, improving the maintenance efficiency and fault handling speed of the optical fiber network, quickly and accurately locating the fault location in a complex optical fiber network, reducing the time and labor costs of troubleshooting, improving the stability and reliability of the optical fiber network, and ensuring the continuity of communication services and the stability of user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a flow chart of an optical fiber detection method in one embodiment of the present application; Figure 2 is a flowchart for implementing step S20 in the optical fiber detection method in one embodiment of the present application; Figure 3 is another implementation flow chart of step S20 in the optical fiber detection method in one embodiment of the present application; Figure 4 is a flowchart for implementing step S30 in the optical fiber detection method in one embodiment of the present application; Figure 5 is another implementation flow chart of step S30 in the optical fiber detection method in one embodiment of the present application; Figure 6 is another implementation flow chart of the optical fiber detection method in one embodiment of the present application; Figure 7 is a principle block diagram of an optical fiber detection system in one embodiment of the present application; Figure 8 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The present application is further described in detail below in conjunction with the accompanying drawings.

[0025] In one embodiment, if Figure 1As shown, the present application discloses a method for detecting an optical fiber, which specifically comprises the following steps: S10: Monitor the optical fiber route in real time and collect real-time status data of the optical fiber route.

[0026] In this embodiment, the real-time status data refers to status data such as signal transmission status of the optical fiber routing.

[0027] Specifically, high-precision sensors are deployed along the optical fiber route to monitor the status data of the optical fiber in real time, including optical signal strength, attenuation, etc. The sensors then transmit the collected data to the system via a wired or wireless network.

[0028] S20: Performing status analysis and pattern recognition on the real-time status data of the optical fiber routing, and generating a corresponding optical fiber abnormality message according to the abnormality when an abnormality is found in the analysis.

[0029] In this embodiment, the optical fiber abnormality message refers to a message triggered when an abnormality is detected in the optical fiber.

[0030] Specifically, the optical signal strength information is extracted from the real-time status data, and the fluctuation of the signal strength within a preset time period is detected. When the signal strength fluctuates greatly or the signal attenuation is not as expected, a corresponding signal abnormality message is generated to complete the status analysis of the optical fiber. The real-time status data is compared with the normal operating mode. If the real-time data deviates from the normal mode, the system generates an operation abnormality message to complete the pattern recognition of the optical fiber.

[0031] S30: According to the optical fiber abnormality message, the reflected signal of the optical fiber route is obtained, and the signal strength change and reflection time difference of the reflected signal are analyzed to determine the optical fiber abnormality position, and the optical fiber abnormality coordinates are further determined according to the preset smart label.

[0032] In this embodiment, the reflected signal refers to the signal reflected from the optical fiber. The reflection time difference refers to the time length between the signal being sent out and being reflected back. The optical fiber abnormality position refers to the position corresponding to the optical fiber abnormality. The optical fiber abnormality coordinates refer to the specific position coordinates corresponding to the optical fiber abnormality.

[0033] Specifically, an optical time domain reflectometer is used to send an optical pulse signal to the optical fiber, and a reflected signal reflected from the optical fiber is received. The optical fiber abnormality message corresponding to the reflected signal is determined based on the intensity change of the reflected signal. The transmission distance of the optical signal in the optical fiber is calculated by analyzing the time difference between the sending timestamp and the receiving timestamp, and then the position of the optical fiber abnormality is determined. Subsequently, the position coordinates of the key optical fiber nodes recorded in the smart label are read, and the precise coordinates of the optical fiber abnormality are further determined by combining the optical fiber abnormality position and the position information provided by the smart label.

[0034] In one embodiment, if Figure 2 As shown, in step S20, the real-time status data of the optical fiber routing is analyzed, which specifically includes: S21: extracting the optical signal strength from the real-time status data of the optical fiber routing, and generating an optical fiber signal fluctuation anomaly when the fluctuation amplitude of the optical signal strength within a preset time period exceeds a preset fluctuation period.

[0035] Specifically, the optical signal strength information is extracted from the real-time status data, the changes in signal strength are monitored over a set time period, and the fluctuation amplitude of the optical signal strength within the time period is detected. If it is detected that the signal strength fluctuation amplitude exceeds the preset fluctuation period, the system will mark it as an abnormal optical fiber signal fluctuation.

[0036] S22: Obtain signal attenuation from real-time status data of the optical fiber route, and generate a signal attenuation exception when the signal attenuation does not conform to a preset signal attenuation curve.

[0037] Specifically, the signal attenuation information is extracted from the real-time status data and compared with a preset signal attenuation curve. If the actual signal attenuation does not conform to the preset attenuation curve, the system marks it as abnormal signal attenuation.

[0038] In one embodiment, if Figure 3 As shown, in step S20, pattern recognition is performed on the real-time status data of the optical fiber routing, specifically including: S23: Acquire historical optical fiber operation data, extract historical normal operation data corresponding to normal operation from the historical optical fiber operation data, and establish an optical fiber normal operation mode according to the historical normal operation data.

[0039] Specifically, historical optical fiber operation data is obtained, data under normal optical fiber operation status is extracted therefrom, and an optical fiber normal operation mode is established to reflect the standard operation status of the optical fiber under different statuses.

[0040] S24: Performing pattern recognition on the real-time status data according to the normal operation mode of the optical fiber, and generating an operation abnormality message when the real-time status data deviates from the normal operation mode of the optical fiber.

[0041] Specifically, the real-time collected status data is compared with the preset normal operating mode, and a pattern recognition algorithm is used to detect whether the real-time data deviates from the normal operating mode. If a deviation is detected, the system generates an operation abnormality message and records relevant abnormal information.

[0042] In one embodiment, if Figure 4As shown, in step S30, that is, according to the optical fiber abnormality message, the reflected signal of the optical fiber route is obtained, and the signal strength change and reflection time difference of the reflected signal are analyzed to determine the optical fiber abnormality position, which specifically includes: S31: Send an optical pulse signal to the optical fiber and record a corresponding sending timestamp, and receive reflected signals reflected from different positions in the optical fiber and their corresponding receiving timestamps.

[0043] Specifically, after detecting an optical fiber abnormality message, the system uses an optical time domain reflectometer to send an optical pulse signal to the optical fiber and record the timestamp of the optical pulse sending. The optical time domain reflectometer receives signals reflected from different positions in the optical fiber and records the reception timestamps of these signals.

[0044] S32: Determine the optical fiber abnormality message corresponding to the reflected signal according to the signal strength of the reflected signal.

[0045] Specifically, when an abnormality occurs in the optical fiber, it will inevitably cause abnormality in the transmission of the optical pulse signal in the light. Therefore, by analyzing the intensity change of the reflected signal, it is determined whether each reflected signal has an abnormality, and based on the reflected signal corresponding to the abnormality, it is determined which optical fiber abnormality message corresponds to the current reflected signal.

[0046] S33: Calculate the reflection time difference according to the sending timestamp and receiving timestamp corresponding to the optical fiber abnormality message, calculate the transmission distance of the optical pulse signal according to the reflection time difference, and determine the optical fiber abnormality position according to the transmission distance of the optical pulse signal.

[0047] Specifically, the transmission time difference of the optical signal in the optical fiber is calculated according to the sending and receiving timestamps of the optical pulse signal, and the transmission distance of the signal is calculated according to the transmission speed of the optical pulse signal, so as to determine the abnormal position of the optical fiber.

[0048] In one embodiment, if Figure 5 As shown, in step S30, the optical fiber abnormal coordinates are further determined according to the preset smart label, specifically including: S34: Obtain a preset smart tag installed at a key optical fiber node, and obtain the position coordinates of the key optical fiber node from the preset smart tag.

[0049] Specifically, smart tags are installed at key nodes of the optical fiber, such as connection points and branch points. These tags record the precise location information of each node.

[0050] S35: Calculate and determine the optical fiber abnormality coordinates corresponding to the optical fiber abnormality message according to the optical fiber abnormality position and the position coordinates of the optical fiber key node.

[0051] Specifically, when the abnormal position of the optical fiber is detected, the data of the smart label closest to the position is read to obtain the location information of the node. By comparing the abnormal position of the optical fiber with the location information provided by the smart label, the precise coordinates of the abnormal position can be further determined, thereby improving the accuracy of fault location.

[0052] In one embodiment, if Figure 6 As shown, the optical fiber detection method also includes: S40: Obtain detailed installation information of optical fiber routing, and construct an optical fiber distribution image according to the detailed installation information.

[0053] Specifically, the detailed installation information of the optical fiber routing is obtained, including the starting end, direction, branching, crossing well, coiling and end point of the optical fiber, and the optical fiber distribution image is constructed based on this information.

[0054] S50: When an optical fiber abnormality message and its corresponding optical fiber abnormality coordinates are detected, an abnormal position is marked and abnormal information is entered in the optical fiber distribution image according to the optical fiber abnormality message and its corresponding optical fiber abnormality coordinates.

[0055] Specifically, after detecting the optical fiber abnormality message and its corresponding abnormal coordinates, this information is marked in the optical fiber distribution image, and information such as the abnormality type and specific location is entered, so that the operation and maintenance personnel can intuitively see the abnormal location and related information on the optical fiber distribution map, and quickly locate and handle the fault.

[0056] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0057] In one embodiment, a fiber optic detection system is provided, which corresponds one-to-one to the fiber optic detection method in the above embodiment. Figure 7 As shown, the optical fiber detection system includes a data acquisition module, an abnormality analysis module, and an abnormality positioning module. The detailed description of each functional module is as follows: A data acquisition module is used to monitor the optical fiber routing in real time and collect the real-time status data of the optical fiber routing; The abnormality analysis module is used to perform status analysis and pattern recognition on the real-time status data of the optical fiber routing, and generate corresponding optical fiber abnormality messages according to the abnormalities when abnormalities are analyzed; The abnormality positioning module is used to obtain the reflected signal of the optical fiber route according to the optical fiber abnormality message, and analyze the signal strength change and reflection time difference of the reflected signal to determine the optical fiber abnormality position, and further determine the optical fiber abnormality coordinates according to the preset smart label.

[0058] Optionally, the exception analysis module includes: The signal fluctuation submodule is used to extract the optical signal strength from the real-time status data of the optical fiber routing, and generate an optical fiber signal fluctuation anomaly when the fluctuation amplitude of the optical signal strength within a preset time period exceeds a preset fluctuation period; The signal attenuation submodule is used to obtain the signal attenuation status from the real-time status data of the optical fiber routing, and generate a signal attenuation exception when the signal attenuation status does not conform to the preset signal attenuation curve.

[0059] Optionally, the exception analysis module includes: A mode construction submodule is used to obtain historical optical fiber operation data, extract historical normal operation data corresponding to normal operation from the historical optical fiber operation data, and establish an optical fiber normal operation mode according to the historical normal operation data; The mode recognition submodule is used to perform mode recognition on the real-time status data according to the normal operation mode of the optical fiber, and generate an operation abnormality message when the real-time status data deviates from the normal operation mode of the optical fiber.

[0060] Optionally, the anomaly location module includes: A reflection signal submodule, used to send an optical pulse signal to the optical fiber and record the corresponding sending timestamp, and receive the reflection signal reflected from different positions in the optical fiber and its corresponding receiving timestamp; An abnormality confirmation submodule, used to determine an optical fiber abnormality message corresponding to the reflected signal according to the signal strength of the reflected signal; The abnormal position confirmation submodule is used to calculate the reflection time difference according to the sending timestamp and receiving timestamp corresponding to the optical fiber abnormality message, and calculate the transmission distance of the optical pulse signal according to the reflection time difference, and determine the optical fiber abnormal position according to the transmission distance of the optical pulse signal.

[0061] Optionally, the anomaly location module includes: The label acquisition submodule is used to acquire the preset smart labels installed at the key nodes of the optical fiber, and obtain the position coordinates of the key nodes of the optical fiber from the preset smart labels; The abnormal coordinate confirmation submodule is used to calculate and determine the optical fiber abnormal coordinates corresponding to the optical fiber abnormality message according to the optical fiber abnormal position and the position coordinates of the optical fiber key nodes.

[0062] Optionally, the optical fiber detection method further includes: A distribution data acquisition submodule is used to obtain detailed installation information of optical fiber routing and construct an optical fiber distribution image based on the detailed installation information; The abnormal image marking submodule is used to mark the abnormal position and enter the abnormal information in the optical fiber distribution image according to the optical fiber abnormal message and its corresponding optical fiber abnormal coordinates when the optical fiber abnormal message and its corresponding optical fiber abnormal coordinates are detected.

[0063] For the specific definition of the optical fiber detection system, please refer to the definition of the optical fiber detection method above, which will not be repeated here. Each module in the above optical fiber detection system can be implemented in whole or in part by software, hardware and their combination. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0064] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a fiber optic detection method is implemented.

[0065] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Monitor the optical fiber routing in real time and collect the real-time status data of the optical fiber routing; Perform status analysis and pattern recognition on the real-time status data of the optical fiber routing, and generate corresponding optical fiber abnormality messages according to the abnormalities when abnormalities are found; According to the fiber abnormality message, the reflected signal of the fiber route is obtained, and the signal strength change and reflection time difference of the reflected signal are analyzed to determine the fiber abnormality position, and the fiber abnormality coordinates are further determined according to the preset smart label.

[0066] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Monitor the optical fiber routing in real time and collect the real-time status data of the optical fiber routing; Perform status analysis and pattern recognition on the real-time status data of the optical fiber routing, and generate corresponding optical fiber abnormality messages according to the abnormalities when abnormalities are found; According to the fiber abnormality message, the reflected signal of the fiber route is obtained, and the signal strength change and reflection time difference of the reflected signal are analyzed to determine the fiber abnormality position, and the fiber abnormality coordinates are further determined according to the preset smart label.

[0067] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0068] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0069] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for detecting an optical fiber, characterized in that: The optical fiber detection method comprises: Performing real-time monitoring of optical fiber routing and collecting real-time status data of the optical fiber routing; Performing status analysis and pattern recognition on the real-time status data of the optical fiber routing, and generating a corresponding optical fiber abnormality message according to the abnormality when an abnormality is found in the analysis; According to the optical fiber abnormality message, the reflected signal of the optical fiber route is obtained, and the signal strength change and reflection time difference of the reflected signal are analyzed to determine the optical fiber abnormality position, and the optical fiber abnormality coordinates are further determined according to the preset smart label.

2. The optical fiber detection method according to claim 1, characterized in that: The performing status analysis on the real-time status data of the optical fiber routing specifically includes: Extracting optical signal strength from the real-time status data of the optical fiber routing, and generating an optical fiber signal fluctuation anomaly when the fluctuation amplitude of the optical signal strength within a preset time period exceeds a preset fluctuation period; The signal attenuation condition is obtained from the real-time status data of the optical fiber route, and a signal attenuation exception is generated when the signal attenuation condition does not conform to a preset signal attenuation curve.

3. The optical fiber detection method according to claim 1, characterized in that: The performing pattern recognition on the real-time status data of the optical fiber routing specifically includes: Acquire historical optical fiber operation data, extract historical normal operation data corresponding to normal operation from the historical optical fiber operation data, and establish an optical fiber normal operation mode according to the historical normal operation data; The real-time status data is pattern-recognized according to the normal operation mode of the optical fiber, and an abnormal operation message is generated when the real-time status data deviates from the normal operation mode of the optical fiber.

4. The optical fiber detection method according to claim 1, characterized in that: The step of obtaining the reflected signal of the optical fiber route according to the optical fiber abnormality message, and analyzing the signal strength change and reflection time difference of the reflected signal to determine the optical fiber abnormality position specifically includes: Sending an optical pulse signal to an optical fiber and recording a corresponding sending timestamp, and receiving the reflected signal reflected from different positions in the optical fiber and its corresponding receiving timestamp; Determine the optical fiber abnormality message corresponding to the reflected signal according to the signal strength of the reflected signal; The reflection time difference is calculated according to the sending timestamp and the receiving timestamp corresponding to the optical fiber abnormality message, and the transmission distance of the optical pulse signal is calculated according to the reflection time difference, and the optical fiber abnormality position is determined according to the transmission distance of the optical pulse signal.

5. The optical fiber detection method according to claim 4, characterized in that: The further determining of the optical fiber abnormal coordinates according to the preset smart label specifically includes: Obtaining the preset smart tag installed at the key node of the optical fiber, and obtaining the position coordinates of the key node of the optical fiber from the preset smart tag; The optical fiber abnormality coordinates corresponding to the optical fiber abnormality message are calculated and determined according to the optical fiber abnormality position and the position coordinates of the optical fiber key node.

6. The optical fiber detection method according to claim 1, characterized in that: The optical fiber detection method further comprises: Obtaining detailed installation information of optical fiber routing, and constructing an optical fiber distribution image based on the detailed installation information; When the optical fiber abnormality message and the corresponding optical fiber abnormality coordinates are detected, the abnormal position is marked and the abnormal information is entered in the optical fiber distribution image according to the optical fiber abnormality message and the corresponding optical fiber abnormality coordinates.

7. An optical fiber detection system, characterized in that: The optical fiber detection system comprises: A data acquisition module, used to monitor the optical fiber route in real time and collect real-time status data of the optical fiber route; An abnormality analysis module, used for performing status analysis and pattern recognition on the real-time status data of the optical fiber routing, and generating a corresponding optical fiber abnormality message according to the abnormality when an abnormality is analyzed; The abnormality positioning module is used to obtain the reflected signal of the optical fiber route according to the optical fiber abnormality message, and analyze the signal strength change and reflection time difference of the reflected signal to determine the optical fiber abnormality position, and further determine the optical fiber abnormality coordinates according to the preset smart label.

8. The optical fiber detection system according to claim 7, characterized in that: The abnormality analysis module specifically includes: A signal fluctuation submodule, used for extracting optical signal strength from the real-time status data of the optical fiber routing, and generating an optical fiber signal fluctuation anomaly when the fluctuation amplitude of the optical signal strength within a preset time period exceeds a preset fluctuation period; The signal attenuation submodule is used to obtain the signal attenuation situation from the real-time status data of the optical fiber routing, and generate a signal attenuation exception when the signal attenuation situation does not conform to a preset signal attenuation curve.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the optical fiber detection method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the optical fiber detection method according to any one of claims 1 to 6 are implemented.

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