CN117879702A - OLT equipment risk prediction method, device and storage medium - Google Patents

Abstract

The application discloses an OLT equipment risk prediction method, an OLT equipment risk prediction device and a storage medium, relates to the technical field of communication, and is used for improving accuracy of OLT equipment risk prediction. The method comprises the following steps: determining target equipment connected with an uplink port of the OLT equipment; acquiring first identification information of a target equipment port based on a first Radio Frequency Identification (RFID) card of the target equipment port; acquiring second identification information of the tail fiber based on a second RFID card of the tail fiber connected with the target equipment; determining a whole-course optical path route of an uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table; the tail fiber connection table comprises connection relations among tail fibers; if at least two of the full optical path routes include the common device, determining that the OLT device has a security risk. The risk prediction method and the risk prediction device are applied to the risk prediction process of the OLT equipment.

Description

OLT equipment risk prediction method, device and storage medium

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a method and an apparatus for predicting risk of OLT equipment, and a storage medium.

Background

All upstream routes are blocked simultaneously when the optical line terminal (Optical Line Termination, OLT) equipment, so that the traffic of the whole OLT equipment is totally dropped. The reason for this is that the uplink routes of the OLT apparatus are all carried on the same carrying point (apparatus). The problem of the bearing point can affect the service of the whole OLT equipment.

In the related art, the connection condition of each equipment port and daily maintenance are recorded into a comprehensive resource management system in a manual recording mode, and then the route of the OLT equipment is determined based on the comprehensive resource management system. In this way, it can be determined whether the bearing point has a problem based on the routing of the OLT apparatus. However, when the maintainer enters the port information of each device, there may be incorrect operations, which affect the accuracy of the routing of the OLT device, so that the risk of the OLT device cannot be accurately detected. Therefore, how to improve the accuracy of OLT equipment risk prediction is a technical problem that remains to be solved.

Disclosure of Invention

The application provides an OLT equipment risk prediction method, an OLT equipment risk prediction device and a storage medium, which are used for solving the problem of how to improve the accuracy of OLT equipment risk prediction.

In order to achieve the above purpose, the present application adopts the following technical scheme:

in a first aspect, an embodiment of the present application provides an OLT apparatus risk prediction method, where an OLT apparatus risk prediction device determines a target apparatus to which an uplink port of the OLT apparatus is connected; the OLT equipment risk prediction device acquires first identification information of a target equipment port based on a first radio frequency identification RFID card of the target equipment port; the OLT equipment risk prediction device acquires second identification information of the tail fiber based on a second RFID card of the tail fiber connected with the target equipment; the OLT equipment risk prediction device determines the whole-course optical path route of the uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table; the tail fiber connection table comprises connection relations among tail fibers; if at least two routes in the whole-course optical path routes comprise shared equipment, determining that the OLT equipment has safety risk by the OLT equipment risk prediction device; the common device is a device in the target device.

In one possible implementation, the target device includes a passive device and an active device; the target device comprises at least one of: optical distribution frame ODF, network switch, broadband remote access server BRAS equipment.

In one possible implementation, the connection relationship between active devices is determined based on a link layer discovery protocol LLDP; determining a connection relation between passive devices based on the first identification information, the second identification information, the pigtail connection table and the passive devices; and determining the whole-course optical path route of the uplink port of the OLT equipment based on the connection relation between the active equipment and the connection relation between the passive equipment.

In one possible implementation, the pigtail connection table includes at least one light ray and two pigtails connected by each fiber in the at least one light ray.

In a second aspect, the present application provides an OLT apparatus risk prediction device, including: a processing unit and a communication unit; the processing unit is used for determining target equipment connected with the uplink port of the OLT equipment; the processing unit is used for indicating the communication unit to acquire the first identification information of the target equipment port based on the first radio frequency identification RFID card of the target equipment port; the processing unit is used for indicating the communication unit to acquire second identification information of the tail fiber based on a second RFID card of the tail fiber connected with the target equipment; the processing unit is used for determining the whole-course optical path route of the uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table; the tail fiber connection table comprises connection relations among tail fibers; the processing unit is used for determining that the OLT equipment has safety risk if the routes of at least two of the whole-course optical route comprise the shared equipment; the common device is a device in the target device.

In one possible implementation, the target device includes a passive device and an active device; the target device comprises at least one of: optical distribution frame ODF, network switch, broadband remote access server BRAS equipment.

In a possible implementation, the processing unit is configured to: determining a connection relationship between active devices based on a link layer discovery protocol LLDP; determining a connection relation between passive devices based on the first identification information, the second identification information, the pigtail connection table and the passive devices; and determining the whole-course optical path route of the uplink port of the OLT equipment based on the connection relation between the active equipment and the connection relation between the passive equipment.

In one possible implementation, the pigtail connection table includes at least one light ray and two pigtails connected by each fiber in the at least one light ray.

In a third aspect, the present application provides an OLT apparatus risk prediction device, where the OLT apparatus risk prediction device includes: a processor and a memory; wherein the memory is configured to store computer-executable instructions that, when the OLT apparatus risk prediction device is operated, the processor executes the computer-executable instructions stored by the memory to cause the OLT apparatus risk prediction device to perform the OLT apparatus risk prediction method as described in any one of the possible implementations of the first aspect and the first aspect.

In a fourth aspect, the present application provides a computer readable storage medium having instructions stored therein, which when executed by a processor of the OLT apparatus risk prediction device, enable the OLT apparatus risk prediction device to perform the OLT apparatus risk prediction method as described in any one of the possible implementations of the first aspect and the first aspect.

In a fifth aspect, embodiments of the present application provide a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and where the processor is configured to execute a computer program or instructions to implement the OLT apparatus risk prediction method described in any one of the foregoing first aspect and any one of the possible implementations of the first aspect.

In a sixth aspect, a computer program product is provided containing instructions that, when run on a computer, enable the computer to perform the OLT apparatus risk prediction method described in any one of the possible implementations of the first aspect and the first aspect.

These and other aspects of the present application will be more readily apparent from the following description.

The scheme at least brings the following beneficial effects: in the embodiment of the application, the OLT equipment risk prediction device determines the target equipment connected to the uplink port of the OLT equipment, so that the OLT equipment risk prediction device can pass through the RFID card of the target equipment port in a targeted manner, and can accurately acquire the first identification information of the target equipment port; based on the second RFID card of the tail fiber connected with the target equipment, the second identification information of the tail fiber can be accurately acquired. Because the tail fiber connection table comprises the connection relation among the tail fibers, the OLT equipment risk prediction device can determine the whole-course optical path route of the uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table. When the routes of at least two of the full-distance optical path routes include a common device among the target devices, the OLT device risk prediction means determines that the OLT device has a security risk. Compared with the prior art that the connection condition of each equipment port is recorded in a manual recording mode, the risk prediction device for the OLT equipment can rapidly and accurately determine the information of the target equipment and the information of the tail fiber connected with the target equipment through the RFID card, so that the whole-course optical path route of the uplink port of the OLT equipment can be rapidly and accurately determined, and the accuracy of risk prediction of the OLT equipment is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, 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 structural diagram of an OLT apparatus risk prediction system according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of an OLT apparatus risk prediction device according to an embodiment of the present application;

fig. 3 is a flowchart of an OLT equipment risk prediction method provided in an embodiment of the present application;

fig. 4 is a schematic routing diagram of OLT equipment provided in an embodiment of the present application;

fig. 5 is a flowchart of an OLT equipment risk prediction method provided in an embodiment of the present application;

fig. 6 is a schematic structural diagram of an OLT apparatus risk prediction device according to an embodiment of the present application.

Detailed Description

The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone.

The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects or for distinguishing between different processes of the same object and not for describing a particular sequential order of objects.

Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.

Noun interpretation

1. The link layer discovery protocol (Link Layer Discovery Protocol, LLDP) is a link layer discovery protocol defined in EEE 802.1ab for automatically discovering connected devices and adjacencies between devices in a network. Identifying link layer devices, topologies, physical connections, and configuration information.

The LLDP protocol is a simple and flexible link layer discovery protocol that facilitates discovery of network switches and BRAS devices that are upstream of the OLT.

2. Radio frequency identification (Radio Frequency Identification, RFID) technology, also known as radio frequency identification, is a communication technology, commonly known as electronic tags. The specific object can be identified by radio signals and related data read and written without establishing mechanical or optical contact between the identification system and the specific object.

RFID is a wireless communication technology that can identify a specific object and read and write related data by radio signals without establishing mechanical or optical contact between an identification system and the specific object.

The radio signal is modulated to a radio frequency electromagnetic field to transmit data from a tag attached to the item to automatically identify and track the item. Some tags can be powered from the electromagnetic field emitted by the identifier during identification, and do not require a battery; there are also tags that have their own power supply and can actively emit radio waves (electromagnetic fields tuned to radio frequencies). The tag contains electronically stored information that can be identified within a few meters. Unlike bar codes, the radio frequency tag need not be within the line of sight of the identifier, but can be embedded within the tracked object.

The above is a noun interpretation.

When the OLT device is, all uplink routes are blocked at the same time, so that the traffic of the whole OLT device is dropped. The reason for this is that the uplink routes of the OLT apparatus are all carried on the same carrying point (apparatus). The problem of the bearing point can affect the service of the whole OLT equipment.

In the related art, the connection condition of each equipment port and daily maintenance are recorded into a comprehensive resource management system in a manual recording mode, and then the route of the OLT equipment is determined based on the comprehensive resource management system. In this way, it can be determined whether the bearing point has a problem based on the routing of the OLT apparatus. However, when the maintainer enters the port information of each device, there may be incorrect operations, which affect the accuracy of the routing of the OLT device, so that the risk of the OLT device cannot be accurately detected. Therefore, how to improve the accuracy of OLT equipment risk prediction is a technical problem that remains to be solved.

The scheme at least brings the following beneficial effects: in the embodiment of the application, the OLT equipment risk prediction device determines the target equipment connected to the uplink port of the OLT equipment, so that the OLT equipment risk prediction device can pass through the RFID card of the target equipment port in a targeted manner, and can accurately acquire the first identification information of the target equipment port; based on the second RFID card of the tail fiber connected with the target equipment, the second identification information of the tail fiber can be accurately acquired. Because the tail fiber connection table comprises the connection relation among the tail fibers, the OLT equipment risk prediction device can determine the whole-course optical path route of the uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table. When the routes of at least two of the full-distance optical path routes include a common device among the target devices, the OLT device risk prediction means determines that the OLT device has a security risk. Compared with the prior art that the connection condition of each equipment port is recorded in a manual recording mode, the risk prediction device for the OLT equipment can rapidly and accurately determine the information of the target equipment and the information of the tail fiber connected with the target equipment through the RFID card, so that the whole-course optical path route of the uplink port of the OLT equipment can be rapidly and accurately determined, and the accuracy of risk prediction of the OLT equipment is improved.

Hereinafter, referring to fig. 1, a detailed description will be given of an OLT apparatus risk prediction system 10 provided in an embodiment of the present application, and as shown in fig. 1, the OLT apparatus risk prediction system 10 includes: OLT equipment risk prediction means 11, OLT equipment 12, target equipment 13.

The OLT apparatus risk prediction device 11 is configured to: determining a target device 13 connected with an uplink port of the OLT device 12; acquiring first identification information of a target equipment port based on a first Radio Frequency Identification (RFID) card of the target equipment port; acquiring second identification information of the tail fiber based on a second RFID card of the tail fiber connected with the target equipment; determining a whole-course optical path route of an uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table; the tail fiber connection table comprises connection relations among tail fibers; if the routes of at least two of the whole-course optical route comprise the shared equipment, determining that the OLT equipment has safety risks; the common device is a device in the target device 13.

OLT apparatus 12 configured to: the network information is received by the target device 13.

A target device 13 configured to: the network information is forwarded to the OLT apparatus 12.

The OLT apparatus risk prediction device 11 is an apparatus with a wireless communication function, and may be deployed on land, including indoor or outdoor, hand-held, or vehicle-mounted. Can also be deployed on the water surface (such as a ship, etc.). But may also be deployed in the air (e.g., on aircraft, balloon, satellite, etc.). A user terminal, also known as a Mobile Station (MS), a terminal (MT), a terminal, etc., is a device that provides voice and/or data connectivity to a user. For example, the terminal includes a handheld device, an in-vehicle device, and the like having a wireless connection function. Currently, the terminal may be: a mobile phone, a tablet, a laptop, a palmtop, a mobile internet device (mobile internet device, MID), a wearable device (e.g., a smartwatch, a smartband, a pedometer, etc.), a vehicle-mounted device (e.g., an automobile, a bicycle, an electric car, an airplane, a ship, a train, a high-speed rail, etc.), a Virtual Reality (VR) device, an augmented reality (augmented reality, AR) device, a wireless terminal in an industrial control (industrial control), a smart home device (e.g., a refrigerator, a television, an air conditioner, an electric meter, etc.), a smart robot, a workshop device, a wireless terminal in a drone (self driving), a wireless terminal in a teleoperation (remote medical surgery), a wireless terminal in a smart grid (smart grid), a wireless terminal in a transportation security (transportation safety), a wireless terminal in a smart city (smart city), or a wireless terminal in a smart home (smart home), a flying device (e.g., a smart robot, a hot balloon, an airplane, etc. The OLT apparatus risk prediction device 11 in one possible application scenario is a terminal apparatus, such as a vehicle-mounted apparatus, that is often operated on the ground. In this application, for convenience of description, a Chip disposed in the above device, such as a System-On-a-Chip (SOC), a baseband Chip, or other chips having a communication function may also be referred to as a user terminal.

Alternatively, the OLT apparatus risk prediction device 11 may be an embedded communication device, or may be a user handheld communication device, including a mobile phone, a tablet computer, or the like.

As an example, in the embodiment of the present application, the OLT apparatus risk prediction device 11 may also be a wearable apparatus. The wearable device can also be called as a wearable intelligent device, and is a generic name for intelligently designing daily wear by applying wearable technology and developing wearable devices, such as glasses, gloves, watches, clothes, shoes and the like. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device includes full functionality, large size, and may not rely on the smart phone to implement complete or partial functionality, such as: smart watches or smart glasses, etc., and focus on only certain types of application functions, and need to be used in combination with other devices, such as smart phones, for example, various smart bracelets, smart jewelry, etc. for physical sign monitoring.

An embodiment of the present application provides an OLT equipment risk prediction device, which is configured to execute the OLT equipment risk prediction system provided by the embodiment of the present application, and fig. 2 is a schematic structural diagram of the OLT equipment risk prediction device provided by the embodiment of the present application. As shown in fig. 2, the OLT apparatus risk prediction device 200 includes at least one processor 201, a communication line 202, and at least one communication interface 204, and may further include a memory 203. The processor 201, the memory 203, and the communication interface 204 may be connected through a communication line 202.

The processor 201 may be a central processing unit (central processing unit, CPU), an application specific integrated circuit (application specific integrated circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present application, such as: one or more digital signal processors (digital signal processor, DSP), or one or more field programmable gate arrays (field programmable gate array, FPGA).

Communication line 202 may include a path for communicating information between the above-described components.

The communication interface 204, for communicating with other devices or communication networks, may use any transceiver-like device, such as ethernet, radio access network (radio access network, RAN), WLAN, etc.

The memory 203 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc read-only memory (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to include or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

In a possible design, the memory 203 may exist independent of the processor 201, that is, the memory 203 may be a memory external to the processor 201, where the memory 203 may be connected to the processor 201 through a communication line 202, for storing execution instructions or application program codes, and the execution is controlled by the processor 201, so as to implement an OLT apparatus risk prediction method provided in the embodiments described below. In yet another possible design, the memory 203 may be integrated with the processor 201, i.e., the memory 203 may be an internal memory of the processor 201, e.g., the memory 203 may be a cache, may be used to temporarily store some data and instruction information, etc.

As one implementation, processor 201 may include one or more CPUs, such as CPU0 and CPU1 in fig. 2. As another implementation, the OLT apparatus risk prediction device 200 may include a plurality of processors, such as the processor 201 and the processor 207 in fig. 2. As yet another implementation, the OLT apparatus risk prediction device 200 may further include an output device 205 and an input device 206.

The following describes in detail the OLT equipment risk prediction method provided in the embodiment of the present application with reference to fig. 3, and as shown in fig. 3, the OLT equipment risk prediction method includes S301-S305.

S301, an OLT device risk prediction device determines a target device connected with an uplink port of the OLT device.

The target device comprises a passive device and an active device; the target device comprises at least one of: optical distribution frame (Optical Distribution frame, ODF), network switch, broadband remote access server (Broadband Remote Access Server, BRAS) equipment.

In a possible implementation manner, the OLT apparatus risk prediction device determines the target apparatus based on connection information of an uplink port of the OLT apparatus.

It should be explained that the target device is directly or indirectly connected to the upstream port of the OLT device.

S302, the OLT equipment risk prediction device acquires first identification information of the target equipment port based on the first radio frequency identification RFID card of the target equipment port.

In a possible implementation manner, the OLT apparatus risk prediction device obtains the first identification information of the target apparatus port based on the RFID reader identifying the first RFID card of the target apparatus port.

Optionally, the OLT apparatus risk prediction device includes an RFID antenna, and the coupling between the RFID card antenna and the RFID reader-writer may be classified into 3 types: a close-coupled system, a remote-coupled system, and a remote-distance system. The typical range of working distances for a close-coupled system is 0-1 cm.

The RFID reader-writer is connected with the OLT equipment risk prediction device through Bluetooth, and the identification range of the RFID reader-writer is 0-5mm.

Optionally, each port in the target device is provided with a dust cap, and the dust cap is attached with a first RFID card.

It will be appreciated that the presence of a dust cap on each port in the target device prevents dust from entering the port, affecting the performance of the target device. At the same time, the first RFID card on the dust cap may identify the port of the target device.

S303, the OLT equipment risk prediction device acquires second identification information of the tail fiber based on a second RFID card of the tail fiber connected with the target equipment.

In a possible implementation manner, the OLT apparatus risk prediction device identifies a second RFID card of the pigtail connected to the target apparatus based on the RFID reader, and obtains second identification information of the pigtail.

Optionally, a second RFID card is attached to the tail fiber, and the second RFID card may identify the tail fiber.

It should be explained that the RFID reader-writer scans the dual tags, so that the first identification information of the port of the target device and the second identification information of the pigtail can be obtained at the same time.

Illustratively, as shown in table 1, the first identification information of the target device port is E2801190a502006016569553; the second identification information of the tail fiber is E2801190A50200601659030F.

Table 1, information of RFID reader-writer single identification

S304, the OLT equipment risk prediction device determines the whole-course optical path route of the uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table.

The tail fiber connection table comprises connection relations among tail fibers.

Illustratively, when the first identification information is a, the second identification information a; when the first identification information is B, the second identification information B. When the first identification information is A, the second identification information a;

optionally, the pigtail connection table further includes: the creation time of the tail fiber RFID, the creator creating the tail fiber RFID, the creation work order, the transaction state, the partition and the remarks.

Illustratively, as shown in Table 2, the A-side RFID code is E2801190A50200601659030M, the Z-side RFID code is E2801190A50200601659030N, the creation time is 2023.10.21, the creator: and thirdly, work orders: 201311265 transaction state: running and partitioning: zone G, remark: and (5) daily maintenance.

TABLE 2 pigtail connection list

The pigtail connection table further comprises at least one light ray and two pigtails connected with each optical fiber in the at least one light ray.

Illustratively, as shown in Table 3, the corresponding A-terminal RFID with fiber number 0028 is encoded as E2801190A50207601659030A, and the Z-terminal RFID is encoded as E2801190A50200601659030B; the corresponding A-end RFID code with the optical fiber number of 2259 is E2801190A50280601659030A, and the Z-end RFID code is E2801190A50210601659030B; the RFID code of the end A corresponding to the optical fiber with the reference number 0028 is E2801190A50200601959030A, and the RFID code of the end Z is E2801190A50200201659030B; the corresponding A-terminal RFID with the optical fiber reference number 0028 is encoded as E2801190A50200601659230A, and the Z-terminal RFID is encoded as E2801190A50200601559030B.

TABLE 3 comparison of light and pigtail

S305, if at least two routes in the whole-course optical path routes comprise the shared equipment, the OLT equipment risk prediction device determines that the OLT equipment has a safety risk.

Wherein the common device is a device in the target device.

It should be explained that when at least two routes of the whole optical path routes include the common device, the common device has a problem, and at least two routes may be interrupted, which further brings risk to the OLT device.

Optionally, if the routes of any two of the whole-course optical routes do not include the common device, the OLT device risk prediction apparatus determines that the OLT device does not have a security risk.

As shown in fig. 4, the optical port a establishes a connection with the optical port B through the first ODF of the first ODF group, the third optical cross-section box of the first optical cross-section box group, the sixth optical cross-section box of the second optical cross-section box group, the sixth ODF of the second ODF group, and the physical optical fiber, and produces the first route. The optical port C establishes connection with the optical port E through the second ODF of the first ODF group, the second distribution box of the first optical distribution box group, the fifth distribution box of the second optical distribution box group, the fifth ODF of the second ODF group, and the physical optical fiber, and produces the second route. The optical port F is connected to the fourth interface of the first optical distribution box group through a fourth ODF of the first ODF group. And if the first route and the second route do not have the common equipment, the OLT equipment risk prediction device determines that the OLT equipment has a safety risk.

It should be explained that, when the OLT apparatus risk prediction means determines that the OLT apparatus has a security risk, the OLT apparatus risk prediction means issues an alarm and displays that the OLT apparatus has a security risk on the display. In this way, the related technicians can find the risk of the OLT equipment in time, and make related improvements.

Optionally, the related improvement includes redesigning and connecting the OLT apparatus upstream route.

The scheme at least brings the following beneficial effects: in the embodiment of the application, the OLT equipment risk prediction device determines the target equipment connected to the uplink port of the OLT equipment, so that the OLT equipment risk prediction device can pass through the RFID card of the target equipment port in a targeted manner, and can accurately acquire the first identification information of the target equipment port; based on the second RFID card of the tail fiber connected with the target equipment, the second identification information of the tail fiber can be accurately acquired. Because the tail fiber connection table comprises the connection relation among the tail fibers, the OLT equipment risk prediction device can determine the whole-course optical path route of the uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table. When the routes of at least two of the full-distance optical path routes include a common device among the target devices, the OLT device risk prediction means determines that the OLT device has a security risk. Compared with the prior art that the connection condition of each equipment port is recorded in a manual recording mode, the risk prediction device for the OLT equipment can rapidly and accurately determine the information of the target equipment and the information of the tail fiber connected with the target equipment through the RFID card, so that the whole-course optical path route of the uplink port of the OLT equipment can be rapidly and accurately determined, and the accuracy of risk prediction of the OLT equipment is improved.

In a possible implementation manner, as shown in fig. 5 in conjunction with fig. 3, the process of determining the whole optical path route of the uplink port of the OLT equipment by using the risk prediction device of the OLT equipment based on the first identification information, the second identification information and the pigtail connection table in S304 may be specifically implemented by following S501-S503.

S501, the OLT equipment risk prediction device determines the connection relation between the active devices based on a link layer discovery protocol LLDP.

In one possible implementation, when the port of the active device operates in TxRx or Tx mode, the active device periodically transmits LLDP messages to neighboring active devices. And if the local configuration of the active equipment is changed, immediately sending an LLDP message to inform neighbor active equipment of the change condition of the local information as soon as possible. Correspondingly, when the neighbor active device port works in TxRx or Rx mode, the neighbor active device can store the LLDP message to the local. The LLDP message includes the name and address of the active device.

Optionally, when the port of the neighbor active device works in TxRx or Rx mode, the neighbor active device performs validity check on the received LLDP message and TLV carried by the received LLDP message, stores the neighbor information locally after checking, sets the aging Time of the neighbor information on the local device according To the value of Time To Live (TTL), and if the value is zero, immediately ages the neighbor information.

It should be explained that, in order to prevent the frequent change of the local information from causing a large number of LLDP messages to be sent, the active device needs to delay a period of time after sending one LLDP message and then continue to send the next message. When the working mode of the device is switched from Disable/Rx to TxRx/Tx, or a new neighbor device is found (i.e. a new LLDP message is received and the information of the message device is not stored locally), the device will automatically start the fast sending mechanism, i.e. the sending period of the LLDP message is shortened to 1 second, and the designated number of LLDP messages are continuously sent and then restored to the normal sending period.

S502, the OLT equipment risk prediction device determines the connection relation between the passive equipment based on the first identification information, the second identification information, the pigtail connection table and the passive equipment.

Optionally, the OLT device risk prediction apparatus determines a connection relationship between the passive device and the active device based on the first identification information, the second identification information, the pigtail connection table, and the passive device and the active device.

S503, the OLT equipment risk prediction device determines the whole-course optical path route of the uplink port of the OLT equipment based on the connection relation between the active equipment and the connection relation between the passive equipment.

In one possible implementation manner, the OLT device risk prediction apparatus determines a global optical path route of an upstream port of the OLT device based on a connection relationship between active devices, a connection relationship between passive devices, and a connection relationship between the passive devices.

The scheme at least brings the following beneficial effects: in the embodiment of the present application, first, the OLT device risk prediction apparatus may simply and quickly determine a connection relationship between active devices, that is, generate a route of the active device, based on the link layer discovery protocol LLDP. And secondly, the OLT equipment risk prediction device can accurately determine the connection relation between the passive equipment, namely generating the route of the passive equipment based on the first identification information, the second identification information, the pigtail connection table and the passive equipment. And the OLT equipment risk prediction device determines the connection relationship between the passive equipment and the active equipment based on the first identification information, the second identification information, the pigtail connection table, the passive equipment and the active equipment. In this way, the OLT device risk prediction apparatus may generate the global optical path route of the OLT device upstream port based on the route of the active device, the route of the passive device, and the connection relationship between the passive device and the active device. That is, the OLT device risk prediction apparatus performs LLDP measurement on the active device, and performs RFID on the passive device, so that the route of the target device can be quickly and accurately determined, and efficiency is improved. Meanwhile, manual RFID of all target devices is avoided, human resource waste is caused, and user experience is improved.

It can be seen that the above technical solutions provided in the embodiments of the present application are mainly described from the method perspective. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The embodiment of the application further provides a computer readable storage medium, in which instructions are stored, and when the computer executes the instructions, the computer executes each step in the method flow shown in the method embodiment.

Fig. 6 is a schematic structural diagram of an OLT apparatus risk prediction device according to an embodiment of the present application. The OLT apparatus risk prediction device may be used to perform the OLT apparatus risk prediction methods shown in fig. 3 and 5. The OLT apparatus risk prediction device 60 shown in fig. 6 includes: a processing unit 601 and a communication unit 602.

A processing unit 601, configured to determine a target device connected to an uplink port of the OLT device; a processing unit 601, configured to instruct, based on the first radio frequency identification RFID card of the target device port, the communication unit 602 to obtain first identification information of the target device port; a processing unit 601, configured to instruct the communication unit 602 to obtain second identification information of the pigtail based on a second RFID card of the pigtail connected to the target device; the processing unit 601 is configured to determine a full-course optical path route of an uplink port of the OLT apparatus based on the first identification information, the second identification information, and the pigtail connection table; the tail fiber connection table comprises connection relations among tail fibers; a processing unit 601, configured to determine that the OLT device has a security risk if at least two routes in the full-path routes include a common device; the common device is a device in the target device.

In one possible implementation, the target device includes a passive device and an active device; the target device comprises at least one of: optical distribution frame ODF, network switch, broadband remote access server BRAS equipment.

In one possible implementation, the processing unit 601 is configured to: determining a connection relationship between active devices based on a link layer discovery protocol LLDP; determining a connection relation between passive devices based on the first identification information, the second identification information, the pigtail connection table and the passive devices; and determining the whole-course optical path route of the uplink port of the OLT equipment based on the connection relation between the active equipment and the connection relation between the passive equipment.

In one possible implementation, the pigtail connection table includes at least one light ray and two pigtails connected by each fiber in the at least one light ray.

The embodiment of the application also provides a chip, which comprises a processor and a communication interface, wherein the communication interface is coupled with the processor, and the processor is used for running a computer program or instructions to realize the OLT equipment risk prediction method in the method embodiment.

Embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of handover of an industrial terminal in the method embodiments described above.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: electrical connections having one or more wires, portable computer diskette, hard disk. Random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), registers, hard disk, optical fiber, portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium suitable for use by a person or persons of skill in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In embodiments of the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Since the apparatus, device, computer readable storage medium, and computer program product in the embodiments of the present invention may be applied to the above-mentioned method, the technical effects that can be obtained by the apparatus, device, computer readable storage medium, and computer program product may also refer to the above-mentioned method embodiments, and the embodiments of the present invention are not repeated herein.

The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. The risk prediction method for the optical fiber line terminal (OLT) equipment is characterized by comprising the following steps:

determining target equipment connected with an uplink port of the OLT equipment;

acquiring first identification information of the target equipment port based on a first Radio Frequency Identification (RFID) card of the target equipment port;

acquiring second identification information of the tail fiber based on a second RFID card of the tail fiber connected with the target equipment;

determining a whole-course optical path route of the uplink port of the OLT equipment based on the first identification information, the second identification information and a tail fiber connection table; the tail fiber connection table comprises connection relations among the tail fibers;

if the routes of at least two of the whole-course optical path routes comprise shared equipment, determining that the OLT equipment has safety risks; the common device is a device in the target device.

2. The method of claim 1, wherein the target device comprises a passive device and an active device; the target device comprises at least one of: optical distribution frame ODF, network switch, broadband remote access server BRAS equipment.

3. The method of claim 2, wherein the determining the global optical path route of the OLT apparatus upstream port based on the first identification information, the second identification information, and a fiber connection table comprises:

determining a connection relationship between the active devices based on a link layer discovery protocol LLDP;

determining a connection relationship between the passive devices based on the first identification information, the second identification information, the pigtail connection table and the passive devices;

and determining the whole-course optical path route of the uplink port of the OLT equipment based on the connection relation between the active equipment and the connection relation between the passive equipment.

4. A method according to any one of claims 1-3, wherein the pigtail connection table comprises at least one ray and two pigtails connected by each fiber in the at least one ray.

5. A risk prediction apparatus for an OLT device of an optical fiber line terminal, the apparatus comprising: a processing unit and a communication unit;

the processing unit is used for determining target equipment connected with an uplink port of the OLT equipment;

the processing unit is used for indicating the communication unit to acquire first identification information of the target equipment port based on a first Radio Frequency Identification (RFID) card of the target equipment port;

the processing unit is used for indicating the communication unit to acquire second identification information of the tail fiber based on a second RFID card of the tail fiber connected with the target equipment;

the processing unit is used for determining the whole-course optical path route of the uplink port of the OLT equipment based on the first identification information, the second identification information and the tail fiber connection table; the tail fiber connection table comprises connection relations among the tail fibers;

the processing unit is configured to determine that the OLT device has a security risk if at least two routes in the global optical path routes include a common device; the common device is a device in the target device.

6. The apparatus of claim 5, wherein the target device comprises a passive device and an active device; the target device comprises at least one of: optical distribution frame ODF, network switch, broadband remote access server BRAS equipment.

7. The apparatus of claim 6, wherein the processing unit is configured to:

determining a connection relationship between the active devices based on a link layer discovery protocol LLDP;

determining a connection relationship between the passive devices based on the first identification information, the second identification information, the pigtail connection table and the passive devices;

and determining the whole-course optical path route of the uplink port of the OLT equipment based on the connection relation between the active equipment and the connection relation between the passive equipment.

8. The apparatus of any of claims 5-7, wherein the pigtail connection table comprises at least one light ray and two pigtails connected by each fiber in the at least one light ray.

9. An OLT apparatus risk prediction device, comprising: a processor and a memory; wherein the memory is configured to store computer-executable instructions that, when executed by the OLT apparatus risk prediction device, cause the OLT apparatus risk prediction device to perform the OLT apparatus risk prediction method of any one of claims 1-4.

10. A computer readable storage medium, characterized in that the computer readable storage medium comprises instructions which, when executed by OLT apparatus risk prediction means, cause the computer to perform the OLT apparatus risk prediction method according to any of claims 1-4.