CN116192245A - PON network-based fault diagnosis method, system, equipment and storage medium - Google Patents

PON network-based fault diagnosis method, system, equipment and storage medium Download PDF

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Publication number
CN116192245A
CN116192245A CN202211689897.4A CN202211689897A CN116192245A CN 116192245 A CN116192245 A CN 116192245A CN 202211689897 A CN202211689897 A CN 202211689897A CN 116192245 A CN116192245 A CN 116192245A
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fault
information
diagnosis
pon network
unit
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谢林锋
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Hubei Huawang Holding Group Co ltd
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Hubei Huawang Holding Group Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B10/00Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
    • H04B10/07Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
    • H04B10/071Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using a reflected signal, e.g. using optical time domain reflectometers [OTDR]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B10/00Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
    • H04B10/07Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
    • H04B10/075Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

Abstract

The invention discloses a fault diagnosis method, a system, equipment and a storage medium based on a PON network, which are characterized in that firstly, fault alarm information of a PON network management system is utilized to preliminarily determine fault classification numbers, then, a diagnosis plan is searched according to the fault classification numbers, a diagnosis instruction is sent to corresponding OTDR units arranged in the PON network according to the diagnosis plan, each diagnosis information is obtained, each diagnosis information is utilized to judge a fault position, corresponding fault identification points and identification information are marked in a PON network three-dimensional model according to the fault position, and finally, the marked PON network three-dimensional model is pushed to corresponding operation and maintenance personnel, so that quick and efficient PON network fault diagnosis can be realized, and the operation and maintenance personnel can be facilitated to accurately and timely remove faults. The invention can replace the traditional manual field step-by-step measurement and investigation mode, greatly improves the efficiency and the accuracy of PON network fault diagnosis and treatment, and saves a great deal of manpower.

Description

PON network-based fault diagnosis method, system, equipment and storage medium
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a fault diagnosis method, a fault diagnosis system, fault diagnosis equipment and fault diagnosis storage medium based on a PON (passive optical network) network.
Background
With the continuous rise of the broadband service market, the Passive Optical Network (PON) access technology, which is advantageous in terms of high-bandwidth and long-distance transmission, has been rapidly developed. PON network technology is a point-to-multipoint optical fiber access technology, and consists of an OLT (Optical Line Terminal ) at the office side, ONUs (Optical NetworkUnit, optical network units) at the user side, and ODNs (Optical Distribution Network ). The term "passive" refers to an ODN that does not contain any active electronic devices or electronic power sources, and is composed of passive devices such as an optical Splitter (Splitter). In the PON system, a TDM (Time Division Multiplexing ) broadcast system is used as a downstream from an OLT to a plurality of ONUs, and a TDMA (Time Division Multiple Access ) system is used as an upstream.
The traditional copper cable access is mature in fault positioning and repairing technology after the fault occurs, and because the PON adopts a relatively complex network structure, network maintenance, particularly performance monitoring and fault diagnosis positioning of an access network based on the PON technology, face great challenges. At present, after the PON network is obstructed, maintenance personnel are required to carry detection equipment to perform on-site measurement, particularly to initiate a test to a local side from a user side to determine an obstacle position, then to repair the obstacle position, and the obstacle detection and positioning speed is low and the efficiency is low. Therefore, a more intelligent PON optical link detection and diagnosis technology is needed to efficiently monitor and position the optical fiber faults, realize rapid fault detection, positioning and repairing, reduce unnecessary dispatching orders and save labor cost.
Disclosure of Invention
The object of the present invention is to provide a PON network-based fault diagnosis method, system, apparatus and storage medium for solving the above-mentioned problems in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, a PON network-based fault diagnosis method is provided, including:
acquiring fault alarm information transmitted by a PON network management system;
determining a corresponding fault classification number according to the fault alarm information;
matching and calling out a corresponding diagnosis plan from a plan library according to the fault classification number;
sending a diagnosis instruction to a corresponding OTDR unit arranged in the PON network according to the diagnosis plan, and receiving diagnosis information fed back by the corresponding OTDR unit;
judging and obtaining fault position information according to each diagnosis information;
marking a corresponding fault identification point in a preset PON network three-dimensional model according to the fault position information, and generating a corresponding identification information association mark on the fault identification point;
and sending the PON network three-dimensional model marked with the fault identification points and the identification information to an operation and maintenance personnel terminal.
In one possible design, the obtaining the fault alarm information transmitted by the PON network management system includes: and acquiring fault alarm information from the PON network management system by interfacing with a PON EMS northbound interface of the PON network management system.
In one possible design, the determining the corresponding fault classification number according to the fault alarm information includes: and importing the fault alarm information into a preset fault classification recognition model for fault recognition pretreatment to obtain corresponding fault classification numbers and probability values thereof, and extracting corresponding fault classification numbers as determined fault classification numbers when the probability values are larger than a set threshold value.
In one possible design, each optical network unit node and each optical splitter node of the PON network are respectively provided with a corresponding OTDR unit, the OTDR unit at each optical network unit node is configured to perform signal measurement on an optical fiber link between the optical network unit node and its corresponding last-stage optical splitter node to obtain corresponding diagnostic information, the OTDR unit at each optical splitter node is configured to perform signal measurement on an optical fiber link between the optical splitter node and its corresponding last-stage optical splitter node to obtain corresponding diagnostic information, and the OTDR unit at the first-stage optical splitter node is configured to perform signal measurement on an optical fiber link between the optical splitter node and an optical line terminal to obtain corresponding diagnostic information, and the OTDR unit according to a diagnostic scheme sends a diagnostic instruction to the corresponding OTDR unit set in the PON network, where the OTDR unit includes:
extracting corresponding OTDR unit numbers and diagnostic instructions from the diagnostic plans;
and finding each OTDR unit arranged in the PON network according to the number matching of each OTDR unit, and sending a diagnosis instruction to each OTDR unit.
In one possible design, when determining that the fault location information is obtained according to each diagnostic information, the method further includes: and carrying out fault type verification on the fault classification numbers according to the diagnosis information, generating corresponding fault type prompt information according to the fault classification numbers after verification is passed, and the identification information comprises the fault type prompt information.
In one possible design, the method further comprises: and generating required tool-tip information according to the fault classification number after verification is passed, wherein the identification information comprises the required tool-tip information.
In one possible design, after marking the corresponding fault identification point in the PON network three-dimensional model, the method further comprises: and determining actual geographic position information corresponding to the fault position according to the fault position information, wherein the identification information comprises the actual geographic position information.
In a second aspect, a PON network-based fault diagnosis system is provided, including an acquisition unit, a determination unit, a matching unit, a transceiver unit, a determination unit, an identification unit, and a push unit, where:
the acquiring unit is used for acquiring fault alarm information transmitted by the PON network management system;
the determining unit is used for determining a corresponding fault classification number according to the fault alarm information;
the matching unit is used for matching and calling out the corresponding diagnosis plan from the plan library according to the fault classification number;
the receiving and transmitting unit is used for sending a diagnosis instruction to a corresponding OTDR unit arranged in the PON network according to the diagnosis plan and receiving diagnosis information fed back by the corresponding OTDR unit;
a judging unit for judging and obtaining fault position information according to each diagnosis information;
the identification unit is used for marking corresponding fault identification points in a preset PON network three-dimensional model according to the fault position information, and generating corresponding identification information association marks on the fault identification points;
and the pushing unit is used for sending the PON network three-dimensional model marked with the fault identification points and the identification information to the operation and maintenance personnel terminal.
In a third aspect, there is provided a PON network-based fault diagnosis apparatus comprising:
a memory for storing instructions;
and a processor for reading the instructions stored in the memory and executing the method according to any one of the above first aspects according to the instructions.
In a fourth aspect, there is provided a computer readable storage medium having instructions stored thereon which, when run on a computer, cause the computer to perform the method of any of the first aspects. Also provided is a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any of the first aspects.
The beneficial effects are that: the invention firstly utilizes the fault alarm information of the PON network management system to preliminarily determine the fault classification number, then searches the diagnosis plan according to the fault classification number, sends diagnosis instructions to corresponding OTDR units arranged in the PON network according to the diagnosis plan to obtain each diagnosis information, judges the fault position by utilizing each diagnosis information, marks corresponding fault identification points and identification information in the PON network three-dimensional model according to the fault position, and finally pushes the marked PON network three-dimensional model to corresponding operation and maintenance personnel, thereby realizing rapid and efficient PON network fault diagnosis and being beneficial to the accurate and timely fault elimination of the operation and maintenance personnel. The invention can replace the traditional manual field step-by-step measurement and investigation mode, greatly improves the efficiency and the accuracy of PON network fault diagnosis and treatment, and saves a great deal of manpower.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of steps of a method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of the apparatus according to an embodiment of the present invention.
Detailed Description
It should be noted that the description of these examples is for aiding in understanding the present invention, but is not intended to limit the present invention. Specific structural and functional details disclosed herein are merely representative of example embodiments of the invention. This invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.
It will be appreciated that the term "coupled" is to be interpreted broadly, and may be a fixed connection, a removable connection, or an integral connection, for example, unless explicitly stated and limited otherwise; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in the embodiments can be understood by those of ordinary skill in the art according to the specific circumstances.
In the following description, specific details are provided to provide a thorough understanding of example embodiments. However, it will be understood by those of ordinary skill in the art that the example embodiments may be practiced without these specific details. For example, a system may be shown in block diagrams in order to avoid obscuring the examples with unnecessary detail. In other embodiments, well-known processes, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the embodiments.
Example 1:
the present embodiment provides a PON network-based fault diagnosis method, which may be applied to a corresponding diagnosis processing terminal, as shown in fig. 1, and includes the following steps:
s1, acquiring fault alarm information transmitted by a PON network management system.
In specific implementation, the diagnosis processing terminal can establish interactive docking with the PON network management system through a PON EMS northbound interface of the PON network management system, so as to obtain fault alarm information from the PON network management system, where the fault alarm information includes relevant abnormal parameter information of the PON network.
S2, determining a corresponding fault classification number according to the fault alarm information.
When the method is implemented, after the diagnosis processing terminal acquires the fault alarm information, the fault alarm information can be imported into a preset fault classification recognition model for fault recognition preprocessing, corresponding fault classification numbers and probability values thereof are obtained, and when the probability values are larger than a set threshold value, the corresponding fault classification numbers are extracted to be used as determined fault classification numbers. The fault classification recognition model can adopt a character-level convolutional neural network model (Char-CNN) to realize text classification of fault alarm information, and after the character-level convolutional neural network model is built, a plurality of marked fault alarm information classification training sets and test sets are utilized to carry out training test on the model until the test accuracy is stabilized to be more than 95%. And then carrying out fault identification pretreatment on the fault alarm information by using the trained model. The fault alarm information is identified and processed through the corresponding neural network model, the fault classification number is determined, and the fault type contained in the fault alarm information can be comprehensively and accurately judged in an associative manner from the endogenous relation of related abnormal parameter information.
S3, matching and calling out the corresponding diagnosis plan from the plan library according to the fault classification number.
In the specific implementation, a plurality of diagnosis plans are pre-stored in a plan library, each diagnosis plan is associated with a corresponding fault classification number, and after the fault classification number is obtained, the corresponding diagnosis plan can be matched and called from the plan library according to the fault classification number.
S4, sending a diagnosis instruction to a corresponding OTDR unit arranged in the PON network according to the diagnosis plan, and receiving diagnosis information fed back by the corresponding OTDR unit.
In specific implementation, each optical network unit node and each level of optical splitter node of the PON network are respectively provided with a corresponding OTDR unit, the OTDR unit at each optical network unit node is configured to perform signal measurement on an optical fiber link between the located optical network unit node and a corresponding last level of optical splitter node thereof, so as to obtain corresponding diagnostic information, the OTDR unit at each level of optical splitter node is configured to perform signal measurement on an optical fiber link between the located optical splitter node and a corresponding last level of optical splitter node, so as to obtain corresponding diagnostic information, and the OTDR unit at the first level of optical splitter node is configured to perform signal measurement on an optical fiber link between the located optical splitter node and an optical line terminal, so as to obtain corresponding diagnostic information.
After the diagnosis plan is obtained, corresponding OTDR unit numbers and diagnosis instructions are extracted from the diagnosis plan, then each OTDR unit arranged in the PON network is found according to the OTDR unit numbers, the diagnosis instructions are sent to each OTDR unit, the corresponding OTDR unit starts to perform signal measurement on the corresponding optical fiber link after receiving the diagnosis instructions, corresponding diagnosis information is obtained, and then the diagnosis information is fed back to the diagnosis processing terminal.
The OTDR (optical time-domain reflectometer, optical time domain reflectometer) unit obtains attenuation information by using back scattered light generated when light propagates in an optical fiber according to the back scattering and fresnel reverse principle of light, and can measure attenuation of the optical fiber, loss of a joint, and positioning of fault points of the optical fiber so as to know several performances of loss distribution condition, uniformity, defects, breakage, coupling of the joint and the like of the optical fiber. And the corresponding amplifier and the corresponding filter can be matched to amplify and filter the received signal for auxiliary processing, so that higher-quality diagnosis information can be obtained.
S5, judging to obtain fault position information according to the diagnosis information.
In the specific implementation, after the diagnosis information fed back by each OTDR unit is obtained, fault position information can be obtained according to each diagnosis information. Meanwhile, fault type verification can be carried out on the fault classification numbers according to the diagnosis information so as to determine whether the initial classification of the faults is correct, if the verification is passed, corresponding fault type prompt information is generated according to the fault classification numbers, and the required tool prompt information can be generated according to the fault classification numbers. After the fault position information is obtained, determining the actual geographic position information corresponding to the fault position according to the fault position information.
S6, marking corresponding fault identification points in a preset PON network three-dimensional model according to the fault position information, and generating corresponding identification information association marks on the fault identification points.
When the method is implemented, after fault position information is obtained, corresponding fault identification points can be marked in a preset PON network three-dimensional model according to the fault position information, and meanwhile, corresponding identification information association marks are generated on the fault identification points. The PON network three-dimensional model may employ a BIM model to characterize the layout structure of the PON network. The identification information comprises fault type prompt information, required tool prompt information and actual geographic position information.
S7, the PON network three-dimensional model marked with the fault identification points and the identification information is sent to an operation and maintenance personnel terminal.
When the method is implemented, after the fault identification points and the identification information are marked, the diagnosis processing terminal sends the PON network three-dimensional model marked with the fault identification points and the identification information to the corresponding operation and maintenance personnel terminal for display, so that the operation and maintenance personnel intuitively and accurately judge the fault type of the PON network and the optical fiber link and the specific position with the fault according to the fault identification points and the identification information marked on the PON network three-dimensional model, and then carry corresponding tools to the actual geographic position for investigation according to the prompt information.
Example 2:
the present embodiment provides a PON network-based fault diagnosis system, as shown in fig. 2, including an acquisition unit, a determination unit, a matching unit, a transceiver unit, a determination unit, an identification unit, and a push unit, where:
the acquiring unit is used for acquiring fault alarm information transmitted by the PON network management system;
the determining unit is used for determining a corresponding fault classification number according to the fault alarm information;
the matching unit is used for matching and calling out the corresponding diagnosis plan from the plan library according to the fault classification number;
the receiving and transmitting unit is used for sending a diagnosis instruction to a corresponding OTDR unit arranged in the PON network according to the diagnosis plan and receiving diagnosis information fed back by the corresponding OTDR unit;
a judging unit for judging and obtaining fault position information according to each diagnosis information;
the identification unit is used for marking corresponding fault identification points in a preset PON network three-dimensional model according to the fault position information, and generating corresponding identification information association marks on the fault identification points;
and the pushing unit is used for sending the PON network three-dimensional model marked with the fault identification points and the identification information to the operation and maintenance personnel terminal.
Example 3:
the present embodiment provides a PON network-based fault diagnosis apparatus, as shown in fig. 3, including, at a hardware level:
the data interface is used for establishing data butt joint between the processor and the PON network management system;
a memory for storing instructions;
and a processor for reading the instruction stored in the memory and executing the PON network-based fault diagnosis method according to embodiment 1 according to the instruction.
Optionally, the computer device further comprises an internal bus. The processor and memory and data interfaces may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or an EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc.
The Memory may include, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), flash Memory (Flash Memory), first-in first-out Memory (First Input First Output, FIFO), and/or first-in last-out Memory (First In Last Out, FILO), etc. The processor may be a general-purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
Example 4:
the present embodiment provides a computer-readable storage medium having instructions stored thereon, which when executed on a computer, cause the computer to perform the PON network-based fault diagnosis method of embodiment 1. The computer readable storage medium refers to a carrier for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash Memory, and/or a Memory Stick (Memory Stick), etc., where the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable system.
The present embodiment also provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the PON network-based fault diagnosis method of embodiment 1. Wherein the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable system.
Finally, it should be noted that: the foregoing description is only of the preferred embodiments of the invention and is not intended to limit the scope of the invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The fault diagnosis method based on the PON network is characterized by comprising the following steps:
acquiring fault alarm information transmitted by a PON network management system;
determining a corresponding fault classification number according to the fault alarm information;
matching and calling out a corresponding diagnosis plan from a plan library according to the fault classification number;
sending a diagnosis instruction to a corresponding OTDR unit arranged in the PON network according to the diagnosis plan, and receiving diagnosis information fed back by the corresponding OTDR unit;
judging and obtaining fault position information according to each diagnosis information;
marking a corresponding fault identification point in a preset PON network three-dimensional model according to the fault position information, and generating a corresponding identification information association mark on the fault identification point;
and sending the PON network three-dimensional model marked with the fault identification points and the identification information to an operation and maintenance personnel terminal.
2. The PON network-based fault diagnosis method according to claim 1, wherein the obtaining fault alert information transmitted by a PON network management system comprises: and acquiring fault alarm information from the PON network management system by interfacing with a PON EMS northbound interface of the PON network management system.
3. The PON network-based fault diagnosis method according to claim 1, wherein the determining a corresponding fault classification number according to fault alert information comprises: and importing the fault alarm information into a preset fault classification recognition model for fault recognition pretreatment to obtain corresponding fault classification numbers and probability values thereof, and extracting corresponding fault classification numbers as determined fault classification numbers when the probability values are larger than a set threshold value.
4. The PON network-based fault diagnosis method according to claim 1, wherein respective OTDR units are provided at each optical network unit node and each level of optical splitter node of the PON network, the OTDR unit at each optical network unit node is configured to perform signal measurement on an optical fiber link between the located optical network unit node and its corresponding last level of optical splitter node to obtain respective diagnostic information, the OTDR unit at each level of optical splitter node is configured to perform signal measurement on an optical fiber link between the located optical splitter node and the corresponding last level of optical splitter node to obtain respective diagnostic information, the OTDR unit at the first level of optical splitter node is configured to perform signal measurement on an optical fiber link between the located optical splitter node and an optical line terminal to obtain respective diagnostic information, and the sending diagnostic instructions to the respective OTDR units provided in the PON network according to a diagnostic schedule comprises:
extracting corresponding OTDR unit numbers and diagnostic instructions from the diagnostic plans;
and finding each OTDR unit arranged in the PON network according to the number matching of each OTDR unit, and sending a diagnosis instruction to each OTDR unit.
5. The PON network-based fault diagnosis method according to claim 1, wherein when it is determined that fault location information is obtained based on each diagnosis information, the method further comprises: and carrying out fault type verification on the fault classification numbers according to the diagnosis information, generating corresponding fault type prompt information according to the fault classification numbers after verification is passed, and the identification information comprises the fault type prompt information.
6. The PON network-based fault diagnosis method according to claim 5, further comprising: and generating required tool-tip information according to the fault classification number after verification is passed, wherein the identification information comprises the required tool-tip information.
7. The PON network-based fault diagnosis method according to claim 1, wherein after marking the corresponding fault identification point in the PON network three-dimensional model, the method further comprises: and determining actual geographic position information corresponding to the fault position according to the fault position information, wherein the identification information comprises the actual geographic position information.
8. The fault diagnosis system based on the PON network is characterized by comprising an acquisition unit, a determination unit, a matching unit, a receiving-transmitting unit, a judging unit, an identification unit and a pushing unit, wherein:
the acquiring unit is used for acquiring fault alarm information transmitted by the PON network management system;
the determining unit is used for determining a corresponding fault classification number according to the fault alarm information;
the matching unit is used for matching and calling out the corresponding diagnosis plan from the plan library according to the fault classification number;
the receiving and transmitting unit is used for sending a diagnosis instruction to a corresponding OTDR unit arranged in the PON network according to the diagnosis plan and receiving diagnosis information fed back by the corresponding OTDR unit;
a judging unit for judging and obtaining fault position information according to each diagnosis information;
the identification unit is used for marking corresponding fault identification points in a preset PON network three-dimensional model according to the fault position information, and generating corresponding identification information association marks on the fault identification points;
and the pushing unit is used for sending the PON network three-dimensional model marked with the fault identification points and the identification information to the operation and maintenance personnel terminal.
9. A PON network-based fault diagnosis apparatus, comprising:
a memory for storing instructions;
a processor for reading instructions stored in said memory and performing the method according to any one of claims 1-7 in accordance with the instructions.
10. A computer readable storage medium having instructions stored thereon which, when run on a computer, cause the computer to perform the method of any of claims 1-7.
CN202211689897.4A 2022-12-27 2022-12-27 PON network-based fault diagnosis method, system, equipment and storage medium Pending CN116192245A (en)

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