A method and system for adaptive detection of M*N array fiber connection link based on frequency modulation coding
Patent Information
- Application Number
- CN202611230694.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-14
- Publication Date
- 2026-09-22
AI Technical Summary
在标签模糊、脱落或端口密集的场景下,极易发生“发”“收”误判,导致后续寻纤结果完全错误,且难以自查
[0027]1、实现显著的效率提升:采用“阵列化并行调制”与“阵列化并行解码”技术,将传统串行逐点操作变为批量并行处理,理论上,一个操作周期即可完成一个完整配线模块如288芯配线模块所有双纤连接的普查,效率提升数十倍乃至上百倍,使得大规模网络的常态化、全量哑资源清查成为可能,能够批量高效摸排任意两组端口规模光配线设施接入的哑资源。
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Figure CN122802036A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of communication technology and relates to optical communication network operation and maintenance technology. Specifically, it discloses an adaptive detection method and system for M*N array optical fiber connection links based on frequency modulation coding. Background Technology
[0002] With the rapid expansion of optical communication networks, the number of fiber optic connections in data centers, core computer rooms, optical distribution frames (ODFs), and fiber optic junction boxes is growing exponentially. Among these, dual-fiber transmission lines are the most common and fundamental form of fiber optic connection. These lines contain a pair of fibers, one for transmitting and the other for receiving signals, thus forming a complete bidirectional communication channel. However, the massive amount of "dumb resources," such as passive optical fibers, patch cords, and ports, poses significant challenges to network operation, maintenance, expansion, and fault location.
[0003] Currently, the industry typically uses fiber optic locators or survey systems for dumb resource management. The main technical principle is to apply a physical modulation, such as periodic micro-bending, to a specific fiber at one end of the fiber optic link (the transmitting side), causing characteristic attenuation or fluctuation of the optical signal within it; at the other end of the link (the receiving side), the corresponding fiber is located by detecting the presence of this characteristic signal in all fibers, thereby matching the ports at both ends.
[0004] However, existing technologies have the following three prominent drawbacks in application, especially when applied to dual-fiber lines.
[0005] The transmission direction relies on manual identification, which is error-prone and inefficient: existing equipment and methods cannot automatically identify whether the service transmission direction of a single optical fiber is "transmit" or "receive". Operators must rely on port labels, equipment panel markings, or their own experience to make judgments. In scenarios where labels are blurred, detached, or ports are densely packed, misjudgments of "transmit" or "receive" are very likely to occur, leading to completely incorrect subsequent fiber tracing results, which are difficult to self-check. Alternatively, manually holding a fiber optic identification device to clamp and test each cable one by one, manually marking them, and then starting the fiber tracing process is inefficient.
[0006] The serial operation mode results in low survey efficiency: Although some advanced equipment supports multi-channel detection, manual operation and labeling of each pair, or even each fiber, is still required on both the transmitting and receiving sides. For a rack with hundreds or thousands of fiber pairs, this serial operation mode is extremely time-consuming and cannot meet the needs of rapid network surveys, emergency fault location, or dynamic resource scheduling. This efficiency bottleneck limits the routine application of this technology in large-scale networks.
[0007] The results are isolated and difficult to integrate into intelligent operation and maintenance systems: Existing technologies typically output simple port pair lists, lacking information on the upstream and downstream routing of these ports within their physical locations (racks, slots, etc.) and logical topologies. This isolated data is difficult to directly interface with network resource management system platforms, failing to form a closed loop of "detection-update-management," thus significantly diminishing its value.
[0008] Therefore, there is an urgent need for a technical solution that can automatically identify the direction of fiber transmission and support large-scale automatic parallel precise fiber locating to solve the core pain points of accuracy, efficiency and intelligence in the management of fiber optic lines, especially dual-fiber lines. Summary of the Invention
[0009] The purpose of this invention is to address the shortcomings of the aforementioned background technology by providing an adaptive detection method and system for M*N array fiber optic connections based on frequency modulation coding. This detection method and system can automatically determine the transmission and reception directions of optical fibers without interrupting service, autonomously determine signal generation and detection functions based on these directions, and achieve the goal of determining the precise connection relationships of all tested fiber pairs in a single batch by performing parallel coding modulation and detection on multiple fiber pairs. This significantly improves the efficiency and accuracy of the survey and provides a structured data foundation for intelligent network management.
[0010] To achieve the above-mentioned objectives, the present invention adopts the following technical solution:
[0011] An adaptive detection method for M*N array fiber optic links based on frequency modulation coding, comprising:
[0012] S1, each of the two sets of M*N port optical distribution facilities is equipped with an M*N array optical fiber identification device at the external optical fiber. The M*N array optical fiber identification device clamps the N optical fibers to be tested connected to each row of the optical distribution facility, and determines and identifies the optical transmission direction and physical port information of the bright optical fiber row by row. M and N are both integers greater than or equal to 2.
[0013] S2, based on the superposition of M baseband acoustic waves and N harmonic superposition, M*N different frequency modulation codes are formed for the M*N array fiber identification device at the external fiber of any two sets of M*N optical distribution facilities, and micro-bending modulation signals are applied in parallel to the upstream bright fiber in the identified M*N fiber connection link.
[0014] S3, performs parallel detection and demodulation of the optical signal output from the bright optical fiber downstream of the M*N optical fiber connection link;
[0015] S4. When demodulating the unique frequency modulation code from the optical signal output from the bright fiber downstream of the M*N fiber connection link, match the bright fibers upstream and downstream of the fiber connection link to generate a batch fiber link connection relationship list containing the optical transmission direction and physical port information of the bright fiber.
[0016] S5, upload a list of batch fiber optic link connections to the dumb resource management platform.
[0017] As a further optimization of the adaptive detection method for M*N array fiber optic connection links based on frequency modulation coding, in S2, micro-bending modulation signals are applied in parallel to the upstream bright fibers in the identified M*N fiber optic connection links. Specifically, micro-bending modulation signals with different frequency modulation codes based on the superposition of the same baseband acoustic wave and different harmonics are applied to the upstream bright fibers of the N fiber optic connection links connected to the same row port of the optical distribution facility.
[0018] As a further optimization of the adaptive detection method for M*N array fiber optic connection links based on frequency modulation coding, in S2, the M*N different frequency modulation codes of the M*N array fiber optic identification device at the external fiber of any two sets of M*N optical distribution facility ports are M*N frequency modulation acoustic signals formed by superimposing M baseband acoustic signals with N different harmonics.
[0019] As a further optimization of the adaptive detection method for M*N array fiber optic connection links based on frequency modulation coding, in S1, the optical transmission direction and physical port information of the bright fiber are determined and identified row by row. Specifically, under macro-bending drive, the N fibers to be tested, which are clamped row by row, are pushed to generate macro-bending. When leakage light is detected, the clamped fiber to be tested is determined to be a bright fiber. Leakage light detection under macro-bending drive and the macro-bending position where leakage light is detected are maintained on the bright fiber. Micro-bending vibration is applied to the bright fiber to determine and identify the optical transmission direction and physical port information of the bright fiber row by row. The fiber to be tested that does not detect leakage light under macro-bending drive is determined to be a dark fiber. Macro-bending drive is stopped when the dark fiber reaches the extreme macro-bending position.
[0020] An adaptive detection system for M*N array fiber optic links based on frequency modulation coding includes: an M*N array fiber identification device configured at each of the external fiber optic connections of any two sets of M*N port optical distribution facilities, and an M-port fiber identification master controller that interacts with the two M*N array fiber identification devices respectively; the M*N array fiber identification device is used to clamp N fibers to be tested at each row of ports of the optical distribution facility, determine and identify the optical transmission direction and physical port information of the bright fibers row by row, and report to the M-port fiber identification master controller; it applies a micro-bending modulation signal in parallel to the upstream bright fibers in the identified M*N fiber optic link, and detects the optical signal output from the downstream bright fibers in parallel, where M and N are both integers greater than or equal to 2; the M-port fiber... The main controller identifies M baseband acoustic waves and superimposes N harmonics to form M*N different frequency modulation codes at any two sets of M*N optical distribution facility ports connected to external optical fibers. N different frequency modulation codes formed by superimposing N different harmonics on the same baseband acoustic wave are combined into a set of frequency modulation codes. M sets of frequency modulation codes are sent to the bright optical fibers upstream of the optical fiber connection link held row by row by the M*N optical fiber connection device through a port. When the unique frequency modulation code is demodulated from the optical signal output from the bright optical fiber downstream of the M*N optical fiber connection link, the bright optical fibers upstream and downstream of the optical fiber connection link are matched to generate a list of batch optical fiber link connection relationships containing the optical transmission direction and physical port information of the bright optical fibers. The list of batch optical fiber link connection relationships is uploaded to the dumb resource management platform.
[0021] As a further optimization of the adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding, the M*N array fiber optic identification device includes: an M*N array clamp, an M*N array micro-bending drive module, and an M*N array optical detection module; the M*N array clamp is used to clamp N fibers to be tested connected to each row of the optical distribution facility, where M and N are both integers greater than or equal to 2; the M*N array micro-bending drive module is used to receive M*N different frequency modulation codes from the M-port fiber identification main controller and apply micro-bending modulation signals based on different frequency modulation codes in parallel to the upstream bright fibers in the identified M*N fiber optic connection link; the M*N array optical detection module is used to detect the optical signals output by the bright fibers downstream of the fiber optic connection link in parallel.
[0022] As a further optimization of the adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding, the M*N array fiber optic identification device also includes a row macrobend clamping module. The row macrobend clamping module is used to push the N fibers under test clamped row by row by the M*N array clamp to generate macrobends under macrobend drive.
[0023] As a further optimization of the M*N array fiber optic link adaptive detection system based on frequency modulation coding, the M*N array micro-bending drive module is also used to apply micro-bending vibration to bright optical fibers in a macro-bending state.
[0024] As a further optimization of the M*N array fiber optic connection link adaptive detection system based on frequency modulation coding, the M*N array optical detection module is also used to perform leakage detection under macro-bending drive on N optical fibers to be tested held row by row by the M*N array fixture, and to perform leakage detection under micro-bending vibration on bright optical fibers, and to determine and identify the optical transmission direction and physical port information of bright optical fibers row by row.
[0025] As a further optimization of the M*N array fiber optic link adaptive detection system based on frequency modulation coding, the M-port fiber optic identification main controller interacts with the M*N array fiber optic identification device via wired or wireless connection.
[0026] This invention, employing the aforementioned technical solution, provides an accurate, efficient, and intelligent complete solution for the management of fiber optic dumb resources in optical communication networks. It possesses significant practical value and promising prospects for widespread application, particularly suitable for rapid, accurate, and large-scale route surveys and resource management of paired transmitting and receiving fibers in dual-fiber transmission lines. Specifically, it offers the following beneficial effects:
[0027] 1. Significant efficiency improvement: By adopting "array-based parallel modulation" and "array-based parallel decoding" technologies, the traditional serial point-by-point operation is transformed into batch parallel processing. Theoretically, a complete inspection of all dual-fiber connections of a complete wiring module, such as a 288-core wiring module, can be completed in one operation cycle, improving efficiency by tens or even hundreds of times. This makes it possible to conduct routine and full-scale inspection of dumb resources in large-scale networks, and to efficiently inspect dumb resources connected to any two sets of port-scale optical wiring facilities in batches.
[0028] 2. Output structured intelligent data: The final output is not a simple list of port pairs, but structured data containing optical transmission direction information and physical location information. This enables it to directly drive the update of the resource management database, automatically draw and verify the physical connection topology diagram, and provide high-quality data for network automation and intelligent operation and maintenance.
[0029] 3. Compatibility and practicality: This invention is a further development of the existing "micro-bend detection" technology framework that does not interrupt business operations. It is easy to integrate with existing operation and maintenance processes and equipment. Its system can be flexibly configured according to actual needs. It can be used for full-scale surveys of large data centers as well as for rapid fault location in local areas. Attached Figure Description
[0030] Figure 1 This is a flowchart of the adaptive detection method proposed in this invention.
[0031] Figure 2 This is a schematic diagram illustrating the application of the adaptive detection system proposed in this invention. Detailed Implementation
[0032] The technical solution of the present invention will be further described in detail below with reference to specific embodiments. However, these embodiments are not intended to limit the present invention. All similar technical solutions and variations thereof made under the guidance of the inventive concept of the present invention should be included in the protection scope of the present invention.
[0033] Example 1: An adaptive detection method for M*N array fiber optic connection links based on frequency modulation coding.
[0034] like Figure 1 As shown, the adaptive detection method proposed in this embodiment includes S1 to S5.
[0035] S1: On-site deployment. At the external optical fiber of any two sets of M*N port optical distribution facilities, configure one M*N array optical fiber identification device. The M*N array optical fiber identification device clamps the N optical fibers to be tested connected to each row of the optical distribution facility's ports, and determines and identifies the optical transmission direction and physical port information of the bright optical fibers row by row. M and N are both integers greater than or equal to 2.
[0036] In one embodiment of the present invention, when the M*N array fiber identification device in S1 clamps the N optical fibers to be tested connected to each row of the optical distribution facility, it autonomously identifies the fiber entering the slot, adaptively clamps the fiber diameter, determines the brightness characteristics of the fiber, and intelligently identifies the light transmission direction of the bright fiber, generating a tag with the light transmission direction and physical port information of the bright fiber.
[0037] In one embodiment of the present invention, the determination of the brightness characteristics of the optical fiber and the intelligent identification of the light transmission direction of the bright optical fiber in S1 is specifically as follows: By applying macro-bending drive to the N optical fibers to be tested held row by row, the macro-bending clamping module generates macro-bending in the N optical fibers to be tested row by row until light leakage is detected, and the fiber is determined to be a bright optical fiber. For the bright optical fiber, the light leakage detection under macro-bending drive and the macro-bending position where the light leakage is detected are maintained, micro-bending vibration is applied, and the light transmission direction and physical port information of the clamped bright optical fiber are determined row by row. If no light leakage is detected, the macro-bending drive is stopped at the extreme macro-bending position, and the fiber is determined to be a dark optical fiber.
[0038] S2: Parallel Coding and Modulation. Based on the port size of the optical distribution facility, M sets of frequency modulation (FM) codes are generated. Each FM code is formed by superimposing one baseband acoustic wave with N harmonics, resulting in N different FM codes. The M*N different FM codes formed by superimposing N harmonics on the M baseband acoustic waves are used to apply different micro-bending modulations to the bright optical fibers connected to each row of ports in the optical distribution facility. After generating M sets of micro-bending modulation signals based on the M sets of FM codes, they are applied in parallel to the bright optical fibers connected to each row of ports in the optical distribution facility. A set of micro-bending modulation signals based on the same baseband acoustic wave superimposed with different harmonics is applied to the bright optical fibers upstream of different optical fiber connection links connected to the same row of ports in the optical distribution facility. This process is executed in parallel.
[0039] In one embodiment of the present invention, in S2, a micro-bending modulation signal with different frequency modulation codes based on the superposition of the same baseband acoustic wave and different harmonics is applied to the bright optical fibers upstream of different optical fiber connection links connected to the same row port of the optical distribution facility. Different frequency modulation acoustic wave signals are superimposed on the optical signals transmitted in the bright optical fibers upstream of different optical fiber connection links connected to the same row port of the optical distribution facility, thereby realizing micro-bending modulation of the optical signals transmitted in the bright optical fibers upstream of different optical fiber connection links. In this way, the unique frequency modulation code of each optical fiber connection link upstream modulation can be detected in the leakage light signal output by the bright optical fiber downstream of different optical fiber connection links.
[0040] S3: Parallel detection and decoding. Downstream of the M*N fiber optic link, all optical detection channels synchronously monitor changes in the optical signal and use coherent detection or digital signal processing algorithms to demodulate the unique frequency-modulated code from the received optical signal.
[0041] S4: Connection Matching and Output. The decoded unique frequency modulation code information is compared in real-time with the code allocation table to achieve precise matching of fiber optic link connections. Then, the tags generated in S1, containing the bright fiber optic transmission direction and physical port information, are integrated to generate a batch list of fiber optic link connections containing the bright fiber optic transmission direction and physical port information.
[0042] S5: Data Upload and Topology Synchronization. Upload the generated batch fiber optic link connection relationship list to the dumb resource management platform to complete the automatic update of dumb resource data.
[0043] Example 2: An adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding.
[0044] This embodiment provides an adaptive detection system that implements the method proposed in Embodiment 1. For example... Figure 2 As shown, the adaptive detection system includes two M*N array fiber optic identification devices and two fiber optic identification main controllers.
[0045] Each of any two sets of M*N port optical distribution facilities has an M*N array fiber identification device deployed at its external optical fiber connection point. This can be deployed at the external optical fiber connection points on the equipment side and user side, or at the central office and remote end. In this embodiment, two M*N array fiber identification devices are deployed at the external optical fiber connection points of optical distribution frame A and optical distribution frame B, respectively. Optical distribution frame A and optical distribution frame B each contain M rows and N columns of ports. Alternatively, the M*N array fiber identification devices can be grouped and configured in the frame, disk, or port of the optical distribution facility to be tested. Each of the two M*N array fiber identification devices contains an M*N array clamp, which can form a high-density array clamp. This high-density array clamp can clamp the fiber under test one by one / row by row in a non-destructive manner within a physical area, such as an ODF module. When the M*N array fixture clamps N optical fibers under test connected to each row of the optical distribution facility, it automatically detects whether the fixture has clamped the optical fiber under test and adapts to the diameter of the clamped optical fiber to determine the extreme macrobend position of the dark optical fiber.
[0046] The M*N array fiber optic identification device uses a high-density array clamp to hold N optical fibers under test in each row of the optical distribution frame. It identifies the optical transmission direction and physical port information of the bright optical fibers row by row. Based on M baseband acoustic waves, N harmonics are superimposed to form M*N different frequency modulation codes at any two sets of M*N optical distribution facility ports. The device applies micro-bending modulation signals in parallel to the upstream bright optical fibers in the identified M*N optical fiber connection link and detects the optical signals output by the downstream bright optical fibers in parallel.
[0047] To enable the M*N array fiber optic identification device of this invention to apply micro-bending modulation signals in parallel to the upstream bright fibers in the identified M*N fiber optic connection link, the M*N array fiber optic identification device further includes an M*N array micro-bending driving module and an M*N array optical detection module. M*N different frequency modulation codes, formed by superimposing M baseband acoustic waves with N harmonics respectively, are transmitted to the M*N array micro-bending driving module. The M*N array micro-bending driving module applies micro-bending modulation signals modulated with different frequency modulation codes in parallel to the M groups of bright fibers it controls, according to the received M*N different frequency modulation codes. The M*N array optical detection module receives the raw optical signals from all optical monitoring channels and detects the optical signals output from the bright fibers downstream of the fiber optic connection link in parallel.
[0048] To enable the M*N array fiber identification device of this invention to determine and identify the optical transmission direction and physical port information of bright optical fibers row by row, each M*N array fiber identification device also includes a row macro-bend clamping module. The M*N array optical detection module also has a built-in high-sensitivity photodetector and an intelligent optical transmission direction recognition function, used to monitor the optical signal in the fiber under test clamped by the M*N array fixture in real time. The row macro-bend clamping module is used to drive the N fibers under test clamped by the M*N array fixture to generate a low-addition-loss macro-bend under macro-bend drive. At this macro-bend position, the high-sensitivity photodetector detects light leakage and determines that the fiber under test is a bright fiber; otherwise, it determines that the fiber under test is a dark fiber. The M*N array micro-bend drive module is also used to apply micro-bend vibration to the bright fiber in the macro-bend state. The high-sensitivity photodetector detects light leakage under micro-bend vibration of the bright fiber. After automatically determining and identifying the optical transmission and reception direction judgment result and physical port association information of the bright fiber clamped by the M*N array fixture row by row, the results are reported to the fiber identification main controller.
[0049] The fiber optic identification main controller includes ports 1 to M. It superimposes N different harmonics onto M baseband acoustic waves to form M sets of frequency modulation codes. Each set of frequency modulation codes contains N different frequency modulation codes formed by superimposing N different harmonics onto the same baseband acoustic wave. The M sets of frequency modulation codes are respectively sent to the bright optical fibers upstream of the fiber optic connection link held row by row by the M*N array fiber optic identification device through one port. When a unique frequency modulation code is demodulated from the optical signal output from the bright optical fiber downstream of the M*N optical transmission line, the bright optical fiber upstream of the fiber optic connection link is matched with the bright optical fiber downstream of the fiber optic connection link based on the demodulated unique frequency modulation code. A batch fiber optic link connection relationship list containing the optical transmission direction and physical port information of the bright optical fiber is generated. The batch fiber optic link connection relationship list containing the optical transmission direction and physical port information of the bright optical fiber obtained by the M*N array fiber optic identification device is uploaded to the dumb resource management platform.
[0050] The fiber optic identification main controller communicates with the M*N array fiber optic identification device via wired or wireless means. The core functions of the fiber optic identification main controller include: task scheduling and code allocation, data aggregation and decoding, and connection matching. The task scheduling and code allocation function specifically involves controlling the M*N array micro-bend drive module to allocate micro-bend modulation signals with different frequency modulation codes to the bright fibers upstream of different optical connection links connected to the same row port of the optical distribution facility, and initiating parallel micro-bend modulation. The data aggregation and decoding function specifically involves receiving raw optical signal monitoring data from all channels of the M*N array optical detection module and analyzing and demodulating the raw frequency modulation code results. The connection matching function specifically involves accurately matching the bright fibers upstream of the optical connection link that are modulated by micro-bends with the fibers downstream of the optical connection link that have detected the corresponding frequency modulation codes for micro-bend modulation, based on the frequency modulation codes demodulated from the optical signals output from the bright fibers downstream of the optical connection link. Combining the optical transmission direction and physical port information tags of the bright optical fiber reported by the M*N array optical fiber identification device, a structured connection relationship table is finally generated, with the following format: [transmitter port A] --(transmit fiber)--> [receiver port B]; [transmitter port A'] --(receive fiber)--> [receiver port B' transmit].
[0051] The fiber optic identification main controller also has optional expansion functions: collecting QR codes / RFID and port physical identifiers integrated on the optical distribution facilities and matching them with their electronic tags; or interfacing with a high-precision indoor positioning system to automatically generate or update the network topology map.
[0052] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the specific embodiments described above. The specific embodiments and descriptions in the specification are merely for further illustrating the principles of the present invention. Various changes and modifications can be made to the present invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of protection claimed by the present invention.
Claims
1. An adaptive detection method for M*N array fiber optic connection links based on frequency modulation coding, characterized in that, include: S1, each of the two sets of M*N port optical distribution facilities is equipped with an M*N array optical fiber identification device at the external optical fiber. The M*N array optical fiber identification device clamps the N optical fibers to be tested connected to each row of the optical distribution facility, and determines and identifies the optical transmission direction and physical port information of the bright optical fiber row by row. M and N are both integers greater than or equal to 2. S2, based on the superposition of N harmonics on M baseband acoustic waves, M*N different frequency modulation codes are formed for the M*N array fiber identification device at the port of any two M*N optical distribution facilities, and micro-bending modulation signals are applied in parallel to the upstream bright fiber in the identified M*N fiber connection link. S3, performs parallel detection and demodulation of the optical signal output from the bright optical fiber downstream of the M*N optical fiber connection link; S4. When demodulating the unique frequency modulation code from the optical signal output from the bright fiber downstream of the M*N fiber connection link, match the bright fibers upstream and downstream of the fiber connection link to generate a batch fiber link connection relationship list containing the optical transmission direction and physical port information of the bright fiber. S5, Upload the batch fiber optic link connection relationship list to the dumb resource management platform.
2. The adaptive detection method for M*N array fiber optic connection links based on frequency modulation coding according to claim 1, characterized in that, In step S2, micro-bending modulation signals are applied in parallel to the upstream bright optical fibers in the identified M*N optical fiber connection links. Specifically, micro-bending modulation signals based on different frequency modulation codes formed by the superposition of the same baseband acoustic wave and different harmonics are applied to the upstream bright optical fibers of the N optical fiber connection links connected to the same row port of the optical distribution facility.
3. The adaptive detection method for M*N array fiber optic connection links based on frequency modulation coding according to claim 2, characterized in that, In S2, the M*N different frequency modulation codes of the M*N array fiber identification device at the external fiber of any two sets of M*N optical distribution facility ports are M*N frequency modulation acoustic signals formed by superimposing M baseband acoustic signals and N different harmonics.
4. The adaptive detection method for M*N array fiber optic connection links based on frequency modulation coding according to any one of claims 1 to 3, characterized in that, In step S1, the optical transmission direction and physical port information of the bright optical fiber are determined and identified row by row. Specifically, under macro-bending drive, the N optical fibers to be tested, which are clamped row by row, are pushed to generate macro-bending. When leakage light is detected, the clamped optical fiber to be tested is determined to be a bright optical fiber. Leakage light detection and macro-bending position of the detected leakage light state are maintained under macro-bending drive of the bright optical fiber. Micro-bending vibration is applied to the bright optical fiber to determine and identify the optical transmission direction and physical port information of the bright optical fiber row by row. The optical fiber to be tested that does not detect leakage light under macro-bending drive is determined to be a dark optical fiber. Macro-bending drive is stopped when the dark optical fiber reaches the extreme macro-bending position.
5. An adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding, characterized in that, include: An M*N array fiber identification device is configured at each of the external fiber optic connections of any two sets of M*N port optical distribution facilities. This device clamps N fibers to be tested connected to each row of the optical distribution facility's ports, determines the optical transmission direction and physical port information of the bright fibers row by row, and reports this information to the M-port fiber identification main controller. It then applies a micro-bending modulation signal in parallel to the upstream bright fibers in the identified M*N fiber connection link and performs parallel detection on the optical signals output from the downstream bright fibers in the M*N fiber connection link. M and N are both integers greater than or equal to 2. The M-port fiber optic identification main controller, which interacts with two M*N array fiber optic identification devices, superimposes N harmonics onto M baseband acoustic waves to form M*N different frequency modulation codes for the M*N array fiber optic identification devices at any two sets of M*N optical distribution facility ports. N different frequency modulation codes formed by superimposing N different harmonics onto the same baseband acoustic wave constitute a set of frequency modulation codes. The M sets of frequency modulation codes are respectively sent through a port to the bright optical fibers upstream of the fiber optic connection links held row by row by the M*N array fiber optic identification devices. When a unique frequency modulation code is demodulated from the optical signal output from the bright optical fiber downstream of the M*N fiber optic connection link, the bright optical fibers upstream and downstream of the fiber optic connection link are matched to generate a list of batch fiber optic link connection relationships containing the optical transmission direction and physical port information of the bright optical fibers. This list of batch fiber optic link connection relationships is then uploaded to the dumb resource management platform.
6. The adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding according to claim 5, characterized in that, The M*N array fiber optic identification device includes: An M*N array clamp is used to clamp N optical fibers to be tested at each row of ports of an optical distribution facility, where M and N are both integers greater than or equal to 2. The M*N array micro-bending drive module is used to receive M*N different frequency modulation codes from the M-port fiber identification main controller, and to apply micro-bending modulation signals based on different frequency modulation codes in parallel to the upstream bright fibers in the identified M*N fiber connection links; and, The M*N array optical detection module is used for parallel detection of optical signals output from bright optical fibers downstream of the optical fiber connection link.
7. The adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding according to claim 6, characterized in that, The M*N array fiber identification device also includes a row macrobend clamping module, which is used to push the N optical fibers to be tested held row by row by the M*N array clamp under macrobend drive to generate macrobends.
8. The adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding according to claim 7, characterized in that, The M*N array microbending drive module is also used to apply microbending vibration to the bright optical fiber in a macrobending state.
9. The adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding according to claim 8, characterized in that, The M*N array optical detection module is also used to perform light leakage detection under macro-bending drive on the N optical fibers to be tested held row by row by the M*N array fixture, and to perform light leakage detection under micro-bending vibration on the bright optical fibers, and to determine and identify the optical transmission direction and physical port information of the bright optical fibers row by row.
10. The adaptive detection system for M*N array fiber optic connection links based on frequency modulation coding according to claim 6, characterized in that, The M-port fiber optic identification main controller interacts with the M*N array fiber optic identification device via wired or wireless connection.