Fiber core detection method and device, electronic equipment, storage medium and product
By independently inspecting and fusing data from optical fiber cores, and combining BIM and GIS technologies, the problems of low data processing efficiency and difficulty in location correlation of OTDR equipment in optical cable inspection have been solved, enabling rapid and accurate location of optical cable faults and intelligent operation and maintenance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- PIPECHINA SOUTH CHINA CO
- Filing Date
- 2026-02-25
- Publication Date
- 2026-05-15
AI Technical Summary
Existing OTDR equipment suffers from low data processing efficiency, excessive manual intervention, and data disconnect from spatial location in optical cable quality inspection and fault location, resulting in long emergency response times and a high risk of misjudgment.
Each fiber core in the optical cable is independently tested using an optical time domain reflectometer to obtain test data, analyze fiber core parameters, merge single fiber core datasets to generate a comprehensive parameter set, and achieve automatic location and statistics of fault points through the integration of BIM and GIS technologies.
It enables efficient detection of multi-fiber optical cables, automates fault information processing, shortens fault location time, improves operation and maintenance efficiency, provides panoramic decision support, and enhances the intelligence level of optical cable operation and maintenance.
Smart Images
Figure CN122052898A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present application relate to the technical field of optical fiber measurement, and in particular to a core detection method, device, electronic device, storage medium and product. Background Art
[0002] In the field of energy transportation, the long-distance pipeline transportation of refined oil and natural gas has become the core support method in the cross-regional energy allocation system due to its outstanding advantages of high efficiency, low cost and low loss. During the long-term operation of the current pipeline supporting optical cables, they are significantly affected by external environmental changes and their own aging factors, resulting in a continuous decline in the reliability of communication links. The Optical Time Domain Reflectometer (OTDR), with its unique technical characteristics, has become the core device for the current quality detection and fault location of pipeline optical cables. By emitting narrow pulsed optical signals into the optical fiber and analyzing the optical signal feedback generated by Rayleigh scattering and Fresnel reflection inside the optical fiber in real time, it can accurately measure the length of the optical cable link, analyze the attenuation distribution, and accurately locate the fault point. At present, the OTDR devices commonly equipped in grass-roots oil and gas transportation stations can meet the basic usage requirements of optical cable quality detection and fault location in terms of measurement function integrity and measurement accuracy.
[0003] However, in the modern and lean operation and maintenance management practice of pipeline optical cables, relying solely on the measurement data of OTDR has increasingly become insufficient, and its limitations are particularly prominent in the data processing and space management levels. First, in the data processing link, the result files generated by OTDR devices are only for single-core optical fibers, and it is necessary to rely on manual comparison, analysis and summary of a large amount of single-core data item by item. This method is inefficient, easily affected by subjective factors, and it is difficult to quickly grasp the overall health status from the perspective of the entire cable, forming a situation of "rich data but serious information islands". In addition, in the fault location and resource management links, there are serious drawbacks in the disconnection between "data" and "assets" in the existing mode. The OTDR detection results can only provide the "logical distance" of the fault point (such as "15.3 kilometers from the test point"). Maintenance personnel must rely on traditional materials such as drawings and account books to convert this abstract distance into a specific geographical location (such as near a certain village in the wild) or physical equipment (such as a specific port of an Optical Distribution Frame (ODF) in the station). This frequent and complex manual conversion between "fault data", "geographical space" and "facility assets" not only greatly prolongs the fault emergency response time, but also easily leads to misjudgment when the drawings do not match the physical objects, and has become the core bottleneck for improving operation and maintenance efficiency. Summary of the Invention
[0004] This application provides a fiber core testing method, apparatus, electronic device, storage medium, and product to achieve efficient testing of multiple fiber cores.
[0005] In a first aspect, embodiments of this application provide a fiber core detection method, including: Each fiber core in the optical cable is independently tested using an optical time domain reflectometer to obtain test data for each fiber core. The detection data of each fiber core are analyzed to extract the parameters of each fiber core and obtain the corresponding single fiber core parameter dataset; The individual fiber core parameter datasets are fused together to obtain the comprehensive parameter set of the optical cable; The fault points and fault statistics of the optical cable are determined based on the comprehensive parameter set.
[0006] Secondly, embodiments of this application also provide a fiber core testing device, comprising: The detection module is used to independently detect each fiber core in the optical cable using an optical time domain reflectometer to obtain detection data for each fiber core. The parsing module is used to parse the detection data of each fiber core to extract the parameters of each fiber core and obtain the corresponding single fiber core parameter dataset. The fusion module is used to fuse the parameter datasets of each single fiber core to obtain the comprehensive parameter set of the optical cable; The statistics module is used to determine the fault points and fault statistics of the optical cable based on the comprehensive parameter set.
[0007] Thirdly, embodiments of this application provide an electronic device, including: One or more processors; Storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the fiber core detection method as described in the first aspect.
[0008] Fourthly, embodiments of this application also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the fiber core detection method as described in the first aspect.
[0009] Fifthly, embodiments of this application also provide a computer program product, including a computer program and / or instructions, which, when executed by a processor, implement the fiber core detection method as described in any of the above embodiments.
[0010] This application provides a fiber core detection method, apparatus, electronic device, storage medium, and product. The fiber core detection method includes: independently detecting each fiber core in an optical cable using an optical time domain reflectometer to obtain detection data for each fiber core; parsing the detection data for each fiber core to extract parameters for each fiber core, obtaining a corresponding single fiber core parameter dataset; fusing the single fiber core parameter datasets to obtain a comprehensive parameter set for the optical cable; and determining the fault points and fault statistics of the optical cable based on the comprehensive parameter set. The above technical solution achieves efficient detection of multiple fiber cores by fusing the single fiber core parameter datasets and performing statistical analysis and fault location on the comprehensive parameter set. Attached Figure Description
[0011] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.
[0012] Figure 1 A flowchart of a fiber core testing method provided in this application embodiment; Figure 2 This is a schematic diagram of the structure of a fiber core testing device provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0013] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the present application are shown in the drawings, not the entire structure.
[0014] Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the steps as sequential processes, many of these steps can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the steps can be rearranged. The process can be terminated when its operation is complete, but may also have additional steps not included in the figures. The process can correspond to a method, function, procedure, subroutine, subroutine, etc.
[0015] It should be noted that the concepts of "first" and "second" mentioned in the embodiments of this application are only used to distinguish different devices, modules, units or other objects, and are not used to limit the order of functions performed by these devices, modules, units or other objects or their interdependencies.
[0016] It should also be noted that, unless otherwise specified, "multiple" in the embodiments of this application refers to at least two.
[0017] Furthermore, the embodiments and features described in this application may be combined with each other, unless otherwise specified.
[0018] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.
[0019] It should be noted that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, it does not mean that the applicant has used or necessarily used the relevant content of the solution.
[0020] Figure 1 This is a flowchart illustrating a fiber core detection method provided in this application embodiment. This embodiment is applicable to real-time fiber core detection of in-use optical cables. Specifically, the fiber core detection method can be executed by a fiber core detection device, which can be implemented through software and / or hardware and integrated into an electronic device. The electronic device includes, but is not limited to, devices with computing capabilities such as computers, smartphones, or servers, and can also be a central processing unit (CPU), a system-on-chip (SoC) computer, a field-programmable gate array (FPGA), or a microcontroller (MCU), etc.
[0021] like Figure 1 As shown, the method specifically includes the following steps: S110. Use an optical time domain reflectometer to independently test each fiber core in the optical cable to obtain test data for each fiber core.
[0022] For example, an optical cable typically includes multiple optical fibers. An OTDR can be used to independently test each optical fiber. By injecting light pulses into the optical fiber and analyzing the returned backscattered and reflected signals, the original test data of each fiber core can be obtained, such as fiber core length, reflection curve, attenuation value (or loss value, including attenuation coefficient per unit length) and / or event points, where event points can also be understood as abnormal points or fault points.
[0023] Optionally, the test data of each fiber core can be exported as a test result file in a standardized format (such as PDF) to make the test data traceable.
[0024] S120. Analyze the detection data of each fiber core to extract the parameters of each fiber core and obtain the corresponding single fiber core parameter dataset. Visual inspection technology is used to parse the original test result files, accurately extracting the core technical parameters of each fiber core to form a single fiber core parameter dataset. The parameters of each fiber core include fiber core length, attenuation value, and / or the location of each event point.
[0025] S130. Merge the parameter datasets of each single fiber core to obtain the comprehensive parameter set of the optical cable; For example, all single-fiber parameter datasets can be merged. This could involve combining the datasets based on one or more parameters to obtain a comprehensive parameter set for the entire optical cable. Furthermore, the parameters of each fiber can be arranged in a specific order. For instance, based on physical mileage, the parameters for each fiber corresponding to each physical mileage can be recorded in ascending order of mileage. Similarly, based on attenuation value, the parameters for each fiber corresponding to each attenuation value can be recorded in ascending order of attenuation value. Optionally, a structured file (such as an Excel file) can be generated for the comprehensive parameter set to facilitate the unified presentation of the overall optical cable performance data.
[0026] S140. Determine the fault points and fault statistics of the optical cable based on the comprehensive parameter set.
[0027] For example, based on a comprehensive parameter set, fault points in optical cables can be automatically screened and statistically analyzed. These fault points mainly include high attenuation events, fiber breaks, excessive bending, and end-face contamination. These events can be represented as reflective or non-reflective events on the OTDR curve. Fault statistics can be understood as information obtained from the statistics of fault points, such as the fault time, severity, type, frequency, and / or location. By analyzing fault points and fault statistics, the transmission performance of each optical fiber can be analyzed in depth.
[0028] The fiber core detection method provided in this application integrates the single fiber core parameter datasets of each fiber core and automatically analyzes the comprehensive parameter set to achieve fault information statistics and fault location, which has high efficiency and high consistency. In addition, this method does not require the replacement of existing OTDR equipment, has low investment and wide applicability, and is of great significance for improving the modernization and intelligent operation and maintenance level of communication optical cables for long-distance pipelines of refined oil and natural gas.
[0029] In one embodiment, the fusion of individual fiber core parameter datasets includes: aligning the individual fiber core parameter datasets based on the mileage parameters of the optical cable to obtain a comprehensive parameter set of the optical cable, and generating a tabular file of the comprehensive parameter set.
[0030] For example, a single-fiber core parameter dataset includes the fiber core length, attenuation value, and location of each event point. The datasets are aligned with the mileage parameters of the optical cable, arranged from smallest to largest mileage (e.g., 1km, 2km, 3km, 4km), recording the corresponding single-fiber core parameters for each mileage. For instance, the parameters can be recorded in a tabular file (such as an Excel file), with mileage parameters serving as rows or columns. Based on this, automated and comprehensive processing and analysis of multiple fiber parameters can be achieved, improving the efficiency and comprehensiveness of fiber core testing.
[0031] In one embodiment, determining the fault point and fault statistics information of the optical cable based on the comprehensive parameter set includes: determining the fault point where the attenuation value exceeds a preset threshold based on the comprehensive parameter set, and counting the number of fiber cores at any mileage location where the fault point occurs to obtain fault statistics information.
[0032] For example, fault events mainly refer to high attenuation events, and fault points mainly refer to high attenuation points. Deep data processing is performed on the fused comprehensive parameter set. High attenuation point events can be identified and highlighted by using preset thresholds (e.g., attenuation exceeding 0.2dB). Furthermore, fault points are statistically analyzed; for example, the number of fiber cores with high attenuation points at the same mileage location is counted, forming a statistical table corresponding to "mileage - number of fiber cores with high attenuation points". Based on this, fault points can be located promptly and accurately, and optical cable transmission performance can be analyzed, providing a reliable statistical data basis for optical cable operation and maintenance decisions.
[0033] In one embodiment, the method further includes: S150. Based on the coordinate mapping relationship, associate the mileage parameters in the integrated parameter set with the geographic coordinates of the optical cable in the geographic information system (GIS), and associate the mileage parameters in the integrated parameter set with the spatial coordinates of the station's building information model (BIM).
[0034] For example, activating the BIM and GIS fusion positioning module allows the use of pre-defined coordinate mapping relationships to precisely match mileage parameters from the integrated parameter set with the real-world GIS geographic coordinates of the pipeline and optical cable, as well as the BIM spatial coordinates inside the station or valve chamber. Based on this, each abstract OTDR event point can be transformed into a spatial entity possessing both latitude and longitude coordinates and its specific equipment location within the BIM model. This ensures that each analyzed fault point simultaneously possesses data attributes, geographic attributes, and spatial attributes, providing a foundation for mapping OTDR logical distances to actual physical locations and facilitating fault location within both macro-geography and micro-facilities.
[0035] In one embodiment, the method further includes: S160. Based on the GIS, display the health status of the optical cable in the form of a color spectrum, and locate the fault point of the optical cable. S170. From the perspective of the station, the fault points are marked on the physical equipment based on the BIM.
[0036] For example, based on the above-mentioned relationships, the analysis results of the comprehensive parameter set can be presented in a three-dimensional visualization in BIM and GIS. At the macro level, the GIS map dynamically displays the health status of the entire optical cable route in the form of a color spectrum, and accurately locates high attenuation points by iconization; at the micro level, it can seamlessly drill down to the BIM model of the site, highlighting the specific cabinet, ODF patch panel, and even physical port where the fault point is located in three-dimensional space, thereby achieving centimeter-level spatial positioning "from the field trunk line to the indoor wiring". These marked fault points and perceived statistical information can be driven in real time to the visualization engine that integrates BIM and GIS.
[0037] In a specific example, in a GIS scenario, the health status of optical fiber links is represented by color coding, and high attenuation points are located by flashing icons. When the view focuses on a specific site, the system seamlessly switches to the BIM model and highlights the fault points on the corresponding physical equipment such as ODF patch panels and fiber optic trays, completing the accurate mapping from logical faults to physical ports.
[0038] Based on this, by introducing the integration technology of BIM and GIS, a qualitative leap has been achieved in optical cable status analysis from manual processing to spatial modeling. This solves the problem that traditional methods cannot directly map OTDR logical distance to real physical location, and enables dual rapid location of fault points in both macro-geography and micro-facilities, greatly shortening the fault diagnosis time.
[0039] In one embodiment, the method further includes: S180. Determine the fault trend based on the detection data, the statistical information, the fault events, and the historical detection data, historical statistical information, and historical fault events stored in the database; S190. Construct a digital twin based on the fault trend to control and make decisions regarding the optical cable.
[0040] For example, a dedicated database can be built to structure and store raw data, single fiber core parameters, merged parameters, and statistical tables of major attenuation points from each test. Based on this database, longitudinal trend analysis can be performed on historical data (including historical test data, historical statistical information, and historical fault events). By comparing the latest test data with historical data, the attenuation change rate, fault recurrence rate, etc., can be calculated to obtain time-series analysis results and generate real-time alarm information. Then, the time-series analysis results and real-time alarm information can be integrated as dynamic attributes into the BIM / GIS fusion model to construct a dynamically updated and analyzable optical cable digital twin. The constructed optical cable digital twin tightly integrates data analysis with spatial information, supporting intelligent decision-making from emergency repairs to predictive maintenance, providing a more solid technical guarantee for the safe and stable operation of long-distance pipelines. On this basis, comprehensive support across data, spatial, and temporal dimensions can be provided for operation and maintenance management, enabling rapid fault location, precise scheduling of maintenance resources, and predictive maintenance of infrastructure.
[0041] The fiber core inspection data analysis and statistics method based on BIM and GIS fusion provided in this application can be applied to the health status diagnosis and 3D panoramic positioning of accompanying communication optical cables in long-distance energy pipelines such as refined oil and natural gas. This method is primarily designed to address the problems of existing technologies where OTDR data analysis relies on manual labor, is inefficient, and cannot be correlated with spatial location. It aims to automate the processing of inspection data, enabling automatic dataset parsing, multi-fiber core comprehensive analysis, optical cable health trend judgment, and BIM / GIS fusion-based visual positioning. This transforms raw OTDR inspection data into a "digital twin" of the optical cable in 3D space, ultimately providing panoramic decision support for precise operation and maintenance, rapid positioning, and predictive maintenance of pipeline communication optical cables. Furthermore, by integrating optical cable routing, health status, historical trends, and fault warnings, it provides maintenance personnel with an unprecedented panoramic and intuitive decision-making view, significantly improving operation and maintenance management efficiency.
[0042] Figure 2 This is a schematic diagram of a fiber core testing device provided in an embodiment of this application. The fiber core testing device provided in this embodiment includes: The detection module 210 is used to independently detect each fiber core in the optical cable using an optical time domain reflectometer to obtain detection data for each fiber core. The parsing module 220 is used to parse the detection data of each fiber core to extract the parameters of each fiber core and obtain the corresponding single fiber core parameter dataset. The fusion module 230 is used to fuse the parameter datasets of each single fiber core to obtain the comprehensive parameter set of the optical cable; The statistics module 240 is used to determine the fault points and fault statistics information of the optical cable based on the comprehensive parameter set.
[0043] This device achieves efficient detection of multiple fiber cores by fusing the individual fiber core parameter datasets and performing statistical analysis and fault location on the integrated parameter set.
[0044] Based on any of the above embodiments, the fusion module 230 is specifically used to: align the single fiber core parameter datasets with the mileage parameters of the optical cable as a reference to obtain the comprehensive parameter set of the optical cable, and generate a table file of the comprehensive parameter set.
[0045] Based on any of the above embodiments, the statistics module 240 is specifically used to: determine the fault points where the attenuation value exceeds a preset threshold according to the comprehensive parameter set, and count the number of fiber cores with fault points at any mileage location to obtain fault statistics information.
[0046] Based on any of the above embodiments, the device further includes: an association module, used to associate the mileage parameters in the integrated parameter set with the geographic coordinates of the optical cable in the GIS according to the coordinate mapping relationship, and to associate the mileage parameters in the integrated parameter set with the spatial coordinates of the station in the BIM.
[0047] Based on any of the above embodiments, the device further includes: a display module, used to display the health status of the optical cable in a colorimetric form based on the GIS, and to locate the fault points of the optical cable; and, from the perspective of the station, to mark the fault points on the physical equipment based on the BIM.
[0048] Based on any of the above embodiments, the device further includes: The prediction module is used to determine the fault trend based on the detection data, the statistical information, and the fault events, as well as the historical detection data, historical statistical information, and historical fault events stored in the database; The decision-making module is used to construct a digital twin based on the fault trend to control and make decisions regarding the optical cable.
[0049] The fiber core testing device provided in this application embodiment can be used to execute the fiber core testing method provided in any of the above embodiments, and has corresponding functions and beneficial effects.
[0050] Figure 3A schematic diagram of an electronic device 10, which can be used to implement embodiments of this application, is shown. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device 10 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, user equipment, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.
[0051] like Figure 3 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0052] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks and wireless networks.
[0053] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above.
[0054] In some embodiments, the methods described above can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the methods of any of the embodiments described above by any other suitable means (e.g., by means of firmware).
[0055] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.
[0056] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.
[0057] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
[0058] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device 10, which includes: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device 10. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).
[0059] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.
[0060] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.
[0061] This application also provides a computer program product, including a computer program and / or instructions, which, when executed by a processor, implement the fiber core detection method as described in any of the above embodiments.
[0062] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.
[0063] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.
Claims
1. A fiber core testing method, characterized in that, include: Each fiber core in the optical cable is independently tested using an optical time domain reflectometer to obtain test data for each fiber core. The detection data of each fiber core are analyzed to extract the parameters of each fiber core and obtain the corresponding single fiber core parameter dataset; The individual fiber core parameter datasets are fused together to obtain the comprehensive parameter set of the optical cable; The fault points and fault statistics of the optical cable are determined based on the comprehensive parameter set.
2. The method according to claim 1, characterized in that, The data sets of each single fiber core parameter are merged, including: Using the mileage parameters of the optical cable as a reference, the parameter datasets of each single fiber core are aligned to obtain the comprehensive parameter set of the optical cable, and a table file of the comprehensive parameter set is generated.
3. The method according to claim 1, characterized in that, The fault points and fault statistics of the optical cable are determined based on the comprehensive parameter set, including: Based on the comprehensive parameter set, fault points where the attenuation value exceeds a preset threshold are identified, and the number of fiber cores with fault points at any mileage location is counted to obtain fault statistics information.
4. The method according to claim 1, characterized in that, Also includes: Based on the coordinate mapping relationship, the mileage parameters in the integrated parameter set are associated with the geographic coordinates of the optical cable in the Geographic Information System (GIS), and the mileage parameters in the integrated parameter set are associated with the spatial coordinates of the building information model (BIM) of the station.
5. The method according to claim 4, characterized in that, Also includes: Based on the GIS, the health status of the optical cable is displayed in chromatographic form, and the fault points of the optical cable are located. From the perspective of the station site, the fault points are marked on the physical equipment based on the BIM.
6. The method according to claim 1, characterized in that, Also includes: Based on the detection data, the statistical information, and the fault events, as well as the historical detection data, historical statistical information, and historical fault events stored in the database, the fault trend is determined; Based on the fault trends, a digital twin is constructed to control and make decisions regarding the optical cable.
7. A fiber core testing device, characterized in that, include: The detection module is used to independently detect each fiber core in the optical cable using an optical time domain reflectometer to obtain detection data for each fiber core. The parsing module is used to parse the detection data of each fiber core to extract the parameters of each fiber core and obtain the corresponding single fiber core parameter dataset. The fusion module is used to fuse the parameter datasets of each single fiber core to obtain the comprehensive parameter set of the optical cable; The statistics module is used to determine the fault points and fault statistics of the optical cable based on the comprehensive parameter set.
8. An electronic device, characterized in that, include: At least one processor; A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the fiber core detection method as described in any one of claims 1-6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the fiber core detection method as described in any one of claims 1-6.
10. A computer program product comprising a computer program and / or instructions, characterized in that, When the computer program and / or instructions are executed by the processor, they implement the fiber core detection method as described in any one of claims 1-6.