A method and apparatus for detecting the quality of an optical fiber

Abstract

The application provides a kind of optical fiber quality detection method and equipment, method includes the following steps: step 101: from script load continuous fiber scene information and set parameter information;Step 102: according to the screening strategy based on service granularity, collect the service information needing detection;Step 103: traverse each service, analyze service route, gather the continuous fiber information associated with service, then traverse continuous fiber, execute the optical power detection based on continuous fiber, and find the optical fiber with hidden danger;Step 104: for the optical fiber with hidden danger, execute optical fiber quality detection, receive the detection result data reported by equipment;Step 105: according to the fault point information in optical fiber quality detection result data, draw map to show fault point.This application is to collect equipment alarm, switching event and timing task mechanism, automatically realize the optical fiber quality detection based on service granularity, through the optical power detection based on continuous fiber and optical fiber quality detection, timely find and identify problem optical fiber and fault point position.

Description

Technical Field

[0001] This invention belongs to the field of transmission network management technology, and in particular relates to a method and equipment for optical fiber quality testing. Background Technology

[0002] Optical fiber is the lifeblood of optical transmission networks and a core component of the network. In actual operation and maintenance, extensive infrastructure construction can damage optical fibers, and switching or splicing operations can also affect their performance. Uneven optical power performance can not only cause service alarms but, in severe cases, lead to service interruptions. Therefore, manual monitoring and quality inspection of optical fibers in the network are frequently required in engineering projects. Consequently, the quality of optical fiber performance and the ability to proactively identify these problems have become key concerns for users.

[0003] Currently, routine inspections of fiber optic cable quality are primarily conducted through outsourced maintenance. Maintenance personnel test the fibers, collect test data, and analyze and summarize it to form a fiber optic quality report. Common practices include: 1. Manually measuring the fiber optic cable using auxiliary equipment such as an optical power meter, and then analyzing the results to determine the fiber optic quality. This method requires on-site testing and analysis, which is costly, error-prone, and does not support batch operations. Furthermore, given the vast number of fibers in an optical transmission network, manual measurement of each fiber is inefficient. 2. Using OTDR instruments and online fiber optic monitoring systems for fiber optic quality testing. While this method achieves some degree of automation, it requires connecting both ends of the monitored fiber core to the online monitoring system and relies on deployed hardware. Installation and deployment costs increase with the number of fibers.

[0004] Therefore, given the massive applications of optical fibers, how to achieve efficient and automated management of optical fiber quality inspection and to predict and detect problematic optical fibers in advance is an urgent problem to be solved. Summary of the Invention

[0005] This invention addresses the technical problems existing in the prior art by providing a method and equipment for optical fiber quality testing, enabling efficient and automatic management of optical fiber quality testing and early detection of problematic optical fibers.

[0006] This invention provides a method for testing the quality of optical fibers, comprising the following steps: Step 101: Load fiber connection scenario information and setting parameter information from the script; Step 102: Collect the business information to be detected based on the business-granularity-based screening strategy; Step 103: Traverse each service, analyze the service route, collect the fiber connection information associated with the service, then traverse the fiber connection and perform fiber connection-based optical power detection to find fibers with potential risks. Step 104: For optical fibers with potential risks, perform optical fiber quality testing and receive the testing results data reported by the equipment; Step 105: Based on the fault point information in the fiber optic quality detection data, draw a map to display the fault points.

[0007] Based on the above technical solution, the present invention can also be improved as follows.

[0008] Optionally, the fiber connection scenario information is used for finding single boards and ports in fiber-connected optical power detection, and for finding detectable single boards and ports in fiber-connected optical fiber quality detection; the setting parameters include user-defined alarm number threshold, optical attenuation threshold, and service detection level threshold.

[0009] Optionally, the collection of business information to be detected includes: The network management system subscribes to device alarms and failover events; device alarms include optical power-related alarms; failover events include various service failover events; and service collection is based on device alarms or failover events to collect related network management services.

[0010] Optionally, the collection of associated network management services based on device alarms or failover events includes: Step 201: Subscribe to device alarms and failover events; Step 202: The network management system receives alarms or switching events reported by the devices, and obtains a list of ports associated with the alarms or switching events by analyzing the alarm location information or switching event data. Step 203: Based on the port information, find all the service information carried by the port; Step 204: Perform deduplication on the acquired business information to obtain a set of business information based on alarms and switching events, and use this set of business information as the set of business information to be detected.

[0011] Optionally, the collection of related network management services based on device alarms or failover events also includes: The system collects services at the service level and uses a scheduled task mechanism to filter the services to be monitored and add them to the fiber optic quality detection scheduled task. The filtering criteria are the number of service-related alarms and the service level.

[0012] Optionally, the service collection based on the scheduled task mechanism includes: Step 206: Select a batch of services; Step 207: Perform an alarm correlation query on the selected services and count the number of alarms for each service. If the number of alarms exceeds the alarm number threshold set by the user, then set the service as a service to be tested. Step 208: Query the business level of the selected business. If the business level is higher than the detection level requirement set by the user, then set the business as the business to be detected. Step 209: Deduplicate the services to be tested to obtain the final services to be tested, and add them to the fiber optic quality testing timed task; Step 210: Periodically execute the fiber optic quality testing timed task to perform fiber optic quality testing operations on the fiber optic connections associated with the service.

[0013] Optionally, the fiber-connected optical power detection includes: Step 301: Given a service, analyze the service routing information and obtain the set of inter-network element fiber connections associated with the service; Step 302: Based on the fiber optic topology, calculate the single disk and port information to be queried according to the fiber optic scenario; Step 303: Query the optical power performance data of a single board and port to obtain the optical power data at both ends of the fiber optic cable, and calculate the fiber attenuation value of the fiber optic cable. Step 304: Compare the calculated fiber attenuation value with the user-set attenuation threshold. If it is greater than the set threshold, add a warning label to the fiber connection in the fiber connection topology of the network management system and trigger fiber quality detection. Otherwise, the fiber is considered to be working normally.

[0014] Optionally, calculating the fiber attenuation value of the connecting fiber includes substituting into the following formula: Fiber attenuation = Source port output optical power - Destination port input optical power - Destination port VOA.

[0015] Optionally, the fiber quality detection based on fiber optic connections includes: Step 401: Given a fiber optic cable, set the detection parameters for fiber quality detection, including the test wavelength and refractive index; Step 402: Calculate the detectable single board and port information according to the fiber connection topology and the fiber connection scenario; Step 403: Based on the detection parameters, send fiber optic quality detection commands to the detectable single boards and ports; Step 404: Receive the fiber optic quality detection result data reported by the device.

[0016] In addition, the present invention also provides an electronic device, including a memory and a processor, wherein the processor is used to implement the steps of an optical fiber quality detection method when executing a computer program stored in the memory.

[0017] The technical effects and advantages of this invention are as follows: 1. The method of this invention achieves efficient and automatic management of fiber optic quality testing through alarm subscription, event switching, and timed task mechanisms, enabling early prediction and solving to some extent the problem of low efficiency of manual triggering of testing in daily network management inspections.

[0018] 2. Optical transmission networks involve a vast number of optical fibers, making full-scale inspection impractical. A service-granular screening mechanism allows users to focus on monitoring critical services, making fiber quality inspection more efficient.

[0019] 3. First, potential fiber optic problems are identified through fiber-to-fiber power detection. Then, fiber quality testing is performed on the potentially problematic fibers. This secondary detection filtering mechanism saves resources.

[0020] 4. Utilize WebGIS technology to display fiber optic fault points on a map, making the detection results more intuitive.

[0021] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0022] Figure 1 A flowchart of an optical fiber quality testing method provided in an embodiment of the present invention; Figure 2 This is a flowchart illustrating the service collection process based on subscription alarms and failover events, provided in an embodiment of the present invention. Figure 3 A flowchart of the business collection process based on a timed task mechanism provided in this embodiment of the invention; Figure 4 A flowchart of fiber-connected optical power detection provided in an embodiment of the present invention; Figure 5 A flowchart of fiber optic quality detection based on fiber optic cable connection is provided for an embodiment of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] In existing technologies, it is impossible to predict problems in advance during routine fiber optic maintenance. Manual measurement of the fiber optic cable is required, and the measurement data must be analyzed to identify problematic fibers. This lacks the flexibility of automated management.

[0025] Optical transmission networks have a huge number of optical fibers, making it impractical to measure them one by one. Proactively screening specific potential optical fibers for testing can not only improve the efficiency of optical fiber quality testing but also save manpower and material costs.

[0026] Based on the aforementioned problems, this invention proposes a method for optical fiber quality inspection. It employs a service-granularity-based filtering strategy, utilizing alarm subscription, failover events, and scheduled task mechanisms, to proactively perform batch optical power testing on selected optical fibers. This identifies sets of fibers exhibiting anomalies, and real-time fiber quality detection is then performed on these sets to pinpoint fiber fault locations. Finally, WebGIS technology is used to map and display these fault locations.

[0027] The specific method is as follows: (See reference) Figure 1 As shown in the figure, an embodiment of the present invention discloses a method for optical fiber quality inspection, comprising the following steps: Step 101: Load the fiber connection scenario information and setting parameter information from the script.

[0028] In this embodiment, the fiber connection scenario information is mainly used for locating individual boards and ports in fiber-connection-based optical power detection, and for locating detectable individual boards and ports in fiber-connection-based fiber quality detection. The fiber connection scenario information includes the connection status of individual boards during fiber quality measurement under routine fiber maintenance, as well as physical fiber connection scenarios, such as reliable connections between optical fibers. The settings parameters include user-defined alarm number thresholds, optical attenuation thresholds, and service detection level thresholds.

[0029] Step 102: Collect the business information to be detected based on the business-granularity-based screening strategy.

[0030] In this embodiment of the invention, collecting the business information to be detected is done through two methods: (1) Subscribe to device alarms and failover events, and collect related network management services based on device alarms or failover events.

[0031] The flowchart of the service collection based on subscription alarms and failover events in this embodiment of the invention is as follows: Figure 2 As shown, it mainly includes the following steps.

[0032] Step 201: The network management system subscribes to device alarms and failover events. Device alarms mainly include optical power-related alarms, and failover events include various service failover events. Step 202: The network management system receives alarms or switching events reported by the devices, and obtains a list of ports associated with the alarms or switching events by analyzing the alarm location information or switching event data. Step 203: Based on the port information, find all the service information carried by the port; Step 204: Deduplicate the acquired business information to obtain a set of business information based on alarms and failover events. This set of business information can then be used as the business to be detected.

[0033] (2) In daily operation and maintenance, users can filter the services to be monitored in the network management system by service and add them to the scheduled fiber quality detection task. The filtering conditions are the number of service-related alarms and the service level.

[0034] The business collection flowchart based on the timed task mechanism in this embodiment of the invention is as follows: Figure 3 As shown, the main steps include: Step 206: The user selects a batch of services in the network management system; Step 207: Perform an alarm correlation query on the selected services and count the number of alarms for each service. If the number of alarms exceeds the alarm number threshold set by the user, then set the service as a service to be tested. Step 208: Query the business level of the selected business. If the business level is higher than the detection level requirement set by the user, then set the business as the business to be detected. Step 209: Deduplicate the information to be tested from the previous two steps to obtain the final information to be tested, and add it to the fiber optic quality testing timed task. Step 210: Periodically execute the fiber optic quality testing timed task to perform fiber optic quality testing operations on the fiber optic connections associated with the service.

[0035] Thus, service-granularity-based screening can be achieved through the two methods described above. In this embodiment, the service-granularity-based screening mechanism narrows the scope of fiber optic testing, enabling targeted batch fiber optic quality testing and saving costs.

[0036] Step 103: Traverse each service, analyze the service route, collect the fiber connection information associated with the service, then traverse the fiber connections and perform fiber connection-based optical power detection to discover fibers with potential risks.

[0037] The flowchart of the optical power detection based on fiber optic connections in this embodiment of the invention is as follows: Figure 4 As shown, the main steps include: Step 301: Given a service, analyze the service routing information and obtain the set of inter-network element fiber connections associated with the service; Step 302: Based on the fiber optic topology, calculate the single disk and port information to be queried according to the fiber optic scenario; Step 303: Query the optical power performance data of a single board and port to obtain the optical power data at both ends of the fiber optic cable, and calculate the fiber attenuation value of the fiber optic cable: where the calculated fiber attenuation value of the fiber optic cable is substituted into the following formula, fiber attenuation = source port output optical power - destination port input optical power - destination port VOA; Step 304: Compare the calculated fiber attenuation value with the user-set attenuation threshold. If it is greater than the set threshold, add a warning label to the fiber connection in the fiber connection topology of the network management system and trigger fiber quality detection. Otherwise, the fiber is considered to be working normally.

[0038] By using fiber-to-fiber optical power detection, potentially hazardous optical fibers can be identified in advance. This two-stage detection and filtering mechanism—"first performing fiber optical power detection, then real-time fiber quality testing"—reduces unnecessary resource consumption and improves the efficiency of fiber quality testing.

[0039] Step 104: For optical fibers with potential risks, perform optical fiber quality testing and receive the testing results data reported by the equipment.

[0040] The flowchart of fiber optic quality detection based on fiber optic cable connection in this embodiment of the invention is as follows: Figure 5 As shown, it includes the following steps: Step 401: Given a fiber optic cable, set the detection parameters for fiber quality testing, including the test wavelength and refractive index; Step 402: Calculate the detectable single board and port information according to the fiber connection topology and the fiber connection scenario; Step 403: Based on the detection parameters, send fiber optic quality detection commands to the detectable single boards and ports; Step 404: Receive the fiber optic quality detection result data reported by the device. This data will include information about the location of the fiber optic fault.

[0041] By using fiber optic quality detection based on fiber connections, the location information of fiber optic fault points can be obtained, and the secondary detection and filtering mechanism saves resource consumption.

[0042] Step 105: Based on the fault point information in the fiber optic quality detection data, use WebGIS technology to create a map for display, which can make the detection results more intuitive.

[0043] In summary, the fiber optic quality inspection method in this embodiment of the invention achieves efficient and automated fiber optic quality inspection by utilizing alarm subscription, failover events, and timed task mechanisms. Furthermore, the service-granularity-based filtering mechanism narrows the scope of fiber optic inspection, enabling targeted batch fiber optic quality inspection and saving costs. Finally, the secondary detection filtering mechanism of "first performing fiber power detection, then performing real-time fiber quality detection" reduces unnecessary resource overhead and improves the efficiency of fiber optic quality inspection.

[0044] It should be noted that the optical fiber quality testing method described in this embodiment of the invention is operated automatically by a computer program.

[0045] Furthermore, embodiments of the present invention also provide an electronic device, including a memory and a processor, wherein the processor is used to execute a computer program stored in the memory to implement the steps of the fiber optic quality detection method described above.

[0046] The electronic device also includes a communication interface for communicating with external devices and exchanging and transmitting data.

[0047] The memory may include high-speed RAM, and may also include non-volatile memory, such as at least one disk drive.

[0048] If the memory, processor, and communication interface are implemented independently, they can be interconnected via a bus to communicate with each other. This bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Component Architecture (EISA) bus, etc. The bus can be categorized into address bus, data bus, control bus, etc.

[0049] Optionally, in a specific implementation, if the memory, processor, and communication interface are integrated on a single chip, then the memory, processor, and communication interface can communicate with each other through an internal interface.

[0050] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0051] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for detecting the quality of optical fibers, characterized in that, Includes the following steps: Step 101: Load fiber connection scenario information and setting parameter information from the script; Step 102: Collect the business information to be detected based on the business-granularity-based screening strategy; Step 103: Traverse each service, analyze the service route, collect the fiber connection information associated with the service, then traverse the fiber connection and perform fiber connection-based optical power detection to find fibers with potential risks. Step 104: For optical fibers with potential risks, perform optical fiber quality testing and receive the testing results data reported by the equipment; Step 105: Based on the fault point information in the fiber optic quality detection data, draw a map to display the fault points.

2. The optical fiber quality inspection method according to claim 1, characterized in that, The fiber connection scenario information is used for finding single boards and ports in fiber-connected optical power detection, as well as for finding detectable single boards and ports in fiber-connected fiber quality detection; the setting parameters include user-defined alarm number threshold, optical attenuation threshold, and service detection level threshold.

3. The optical fiber quality inspection method according to claim 1, characterized in that, The business information to be collected includes: The network management system subscribes to device alarms and failover events; device alarms include optical power-related alarms; failover events include various service failover events; and service collection is based on device alarms or failover events to collect related network management services.

4. The optical fiber quality inspection method according to claim 3, characterized in that, The network management services collected based on device alarms or failover events include: Step 201: Subscribe to device alarms and failover events; Step 202: The network management system receives alarms or switching events reported by the devices, and obtains a list of ports associated with the alarms or switching events by analyzing the alarm location information or switching event data. Step 203: Based on the port information, find all the service information carried by the port; Step 204: Perform deduplication on the acquired business information to obtain a set of business information based on alarms and switching events, and use this set of business information as the business information to be detected.

5. The optical fiber quality inspection method according to claim 1, characterized in that, The collection of business information that needs to be detected also includes: The system collects services at the service level and uses a scheduled task mechanism to filter the services to be monitored and add them to the scheduled fiber optic quality detection task. The filtering criteria are the number of service-related alarms and the service level.

6. The optical fiber quality inspection method according to claim 5, characterized in that, The business data collection based on the scheduled task mechanism includes: Step 206: Select a batch of services; Step 207: Perform an alarm correlation query on the selected services and count the number of alarms for each service. If the number of alarms exceeds the alarm number threshold set by the user, then set the service as a service to be tested. Step 208: Query the business level of the selected business. If the business level is higher than the detection level requirement set by the user, then set the business as the business to be detected. Step 209: Deduplicate the services to be tested to obtain the final services to be tested, and add them to the fiber optic quality testing timed task; Step 210: Periodically execute the fiber optic quality testing timed task to perform fiber optic quality testing operations on the fiber optic connections associated with the service.

7. The optical fiber quality testing method according to claim 1, characterized in that, The fiber-connected optical power detection includes: Step 301: Given a service, analyze the service routing information and obtain the set of inter-network element fiber connections associated with the service; Step 302: Based on the fiber optic topology, calculate the single disk and port information to be queried according to the fiber optic scenario; Step 303: Query the optical power performance data of a single board and port to obtain the optical power data at both ends of the fiber optic cable, and calculate the fiber attenuation value of the fiber optic cable. Step 304: Compare the calculated fiber attenuation value with the user-set attenuation threshold. If it is greater than the set threshold, add a warning label to the fiber connection in the fiber connection topology of the network management system and trigger fiber quality detection. Otherwise, the fiber is considered to be working normally.

8. The optical fiber quality inspection method according to claim 7, characterized in that, The calculated fiber attenuation value is substituted into the following formula: Fiber attenuation = Source port output optical power - Destination port input optical power - Destination port VOA.

9. The optical fiber quality testing method according to claim 1, characterized in that, The fiber quality detection based on fiber optic connections includes: Step 401: Given a fiber optic cable, set the detection parameters for fiber quality detection, including the test wavelength and refractive index; Step 402: Calculate the detectable single board and port information according to the fiber connection topology and the fiber connection scenario; Step 403: Based on the detection parameters, send fiber optic quality detection commands to the detectable single boards and ports; Step 404: Receive the fiber optic quality detection result data reported by the device.

10. An electronic device, characterized in that, It includes a memory and a processor, wherein the processor is used to execute a computer program stored in the memory to implement the steps of the fiber optic quality detection method as described in any one of claims 1-9.

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