CN117353805A - Fault repairing method, device, equipment and storage medium - Google Patents
Fault repairing method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application relates to the technical field of communication, in particular to a fault repairing method, device, equipment and storage medium, aiming at improving the repairing efficiency of an optical network fault. The method comprises the following steps: responding to the received information inquiry request of a target node sent by a user, and searching node information of the target node in an optical network twin library; transmitting the node information to a user terminal of the user; in response to receiving a repair evaluation request sent by the user, determining a node light attenuation index mean value of the target node in the optical network twin library; determining a light attenuation value between the node light attenuation index mean value and the light attenuation index value according to the node light attenuation index mean value and the current light attenuation index value of the target node; determining that the target node is successfully repaired in response to the light attenuation value being smaller than a preset light attenuation value threshold; and sending a repair evaluation qualified message to the user.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a fault repairing method, device, equipment and storage medium.
Background
The communication network is based on optical cable optical fiber for signal transmission, and daily detection and maintenance are required for optical cable optical fiber transmission equipment so as to ensure the normal operation of the whole communication network. In the existing method for detecting the whole optical network, mainly, a detection device or a detection instrument is used for diagnosing the faults of the network nodes, and after the faults are repaired, the detection device or the detection instrument is needed for detecting and evaluating the network nodes.
The fault diagnosis method in the related technology increases the cost of fault restoration, has single quality detection means for the whole optical network, and has lower fault restoration efficiency.
Disclosure of Invention
The embodiment of the application provides a fault repairing method, device, equipment and storage medium, aiming at improving the repairing efficiency of an optical network fault.
An embodiment of the present application provides a fault repairing method, where the method includes:
responding to the received information inquiry request of a target node sent by a user, and searching node information of the target node in a pre-established optical network twin library;
the node information is sent to a user terminal of the user, so that the user performs fault restoration on the target node according to the node information;
In response to receiving a repair evaluation request sent by the user, determining a node light attenuation index mean value of the target node in the optical network twin library;
determining a light attenuation value between the node light attenuation index mean value and the light attenuation index value according to the node light attenuation index mean value and the current light attenuation index value of the target node;
determining that the target node is successfully repaired in response to the light attenuation value being smaller than a preset light attenuation value threshold;
and sending a repair evaluation qualified message to the user.
Optionally, the method further comprises:
determining that the node repair is unsuccessful in response to the light attenuation value being greater than a preset light attenuation value threshold;
and sending a repair evaluation disqualification message to the user.
Optionally, the step of establishing the optical network twin library includes:
collecting performance data and resource data of each node in the optical network every other preset time period;
according to the resource data, carrying out data cleaning on the performance data to obtain cleaned data;
and carrying out recursion processing on the optical network according to the cleaned data to obtain the optical network twin library.
Optionally, the performing data cleaning on the performance data according to the resource data to obtain cleaned data includes:
Deleting the performance data with repeated node numbers according to the node number of each node in the resource data;
performing outlier deletion on bias circuit data, optical module temperature data and bit error rate data in the performance data by using a box diagram method;
and deleting the data exceeding the preset power range in the PON receiving optical power, the PON transmitting optical power, the node receiving optical power and the node transmitting optical power in the performance data.
Optionally, the responding to the information query request of the target node sent by the user searches node information of the target node in a pre-created optical network twin library, and includes:
determining a node number corresponding to the information inquiry request;
and determining node information corresponding to the node number in the optical network twin library.
Optionally, the node light attenuation index mean value is pre-stored in the optical network twin library, and the step of obtaining the node light attenuation index mean value includes:
acquiring the received optical power and the transmitted optical power of each node in the optical network in a preset time period from the optical network twin library;
according to the received light power and the transmitted light power, determining a node light attenuation index value of the node every day in a preset time period;
And determining the node light attenuation index mean value according to the node light attenuation index value of the node every day in the preset time period.
Optionally, before searching the node information of the target node in the optical network twin library, the method further includes:
determining time sequence data of the average value of the light attenuation indexes of each node in a preset time period according to the node information of each node in the optical network twin library;
using a preset time sequence data prediction algorithm to perform time sequence prediction on the average value of the light attenuation indexes to obtain a predicted value of the light attenuation index of each node;
determining abnormal nodes in the optical network twin library according to the light attenuation index predicted value;
generating a corresponding fault work order for the abnormal node;
and sending the fault work order to a user terminal of the user so that the user repairs the node corresponding to the fault work order.
A second aspect of embodiments of the present application provides a fault repair device, the device including:
the node information acquisition module is used for responding to an information inquiry request of a target node sent by a user, and searching node information of the target node in a pre-established optical network twin library;
The node information sending module is used for sending the node information to a user terminal of the user so that the user can carry out fault repair on the target node according to the node information;
the optical attenuation index mean value determining module is used for determining a node optical attenuation index mean value of the target node in the optical network twin library in response to receiving a restoration evaluation request sent by the user;
the light attenuation value determining module is used for determining a light attenuation value between the node light attenuation index mean value and the light attenuation index value according to the node light attenuation index mean value and the current light attenuation index value of the target node;
the first restoration evaluation module is used for determining that the target node is successfully restored in response to the light attenuation value being smaller than a preset light attenuation value threshold;
and the qualified message sending module is used for sending the repair evaluation qualified message to the user.
Optionally, the apparatus further comprises:
the second restoration evaluation module is used for determining that the node restoration is unsuccessful in response to the light attenuation value being larger than a preset light attenuation value threshold;
and the disqualification message sending module is used for sending the repair evaluation disqualification message to the user.
Optionally, the device further comprises a module for establishing an optical network twin library, and the module comprises:
the data collection sub-module is used for collecting performance data and resource data of each node in the optical network every other preset time period;
the data cleaning sub-module is used for cleaning the performance data according to the resource data to obtain cleaned data;
and the recursion processing sub-module is used for recursion processing the optical network according to the cleaned data to obtain the optical network twin library.
Optionally, the data definition submodule includes:
the repeated data deleting sub-module is used for deleting the performance data with repeated node numbers according to the node number of each node in the resource data;
the abnormal value deleting sub-module is used for deleting abnormal values of bias circuit data, optical module temperature data and bit error rate data in the performance data by using a box diagram method;
and the power data deleting sub-module is used for deleting the data exceeding the preset power range in the PON receiving optical power, the PON transmitting optical power, the node receiving optical power and the node transmitting optical power in the performance data.
Optionally, the responding to the information query request of the target node sent by the user searches node information of the target node in a pre-created optical network twin library, and includes:
determining a node number corresponding to the information inquiry request;
and determining node information corresponding to the node number in the optical network twin library.
Optionally, the device further includes a node light attenuation index average value acquisition module, where the module includes:
the power acquisition sub-module is used for acquiring the received optical power and the transmitted optical power of each node in the optical network in a preset time period from the optical network twin library;
a node light attenuation index value determining submodule, configured to determine a node light attenuation index value of the node every day in a preset time period according to the received light power and the transmitted light power;
and the node light attenuation index mean value determining submodule is used for determining the node light attenuation index mean value according to the node light attenuation index values of the nodes every day in the preset time period.
Optionally, the apparatus further comprises:
the time sequence data determining module is used for determining time sequence data of the light attenuation index mean value of each node in a preset time period according to the node information of each node in the optical network twin library;
The time sequence prediction module is used for performing time sequence prediction on the average value of the light attenuation indexes by using a preset time sequence data prediction algorithm to obtain a predicted value of the light attenuation index of each node;
the abnormal node identification module is used for determining abnormal nodes in the optical network twin library according to the light attenuation index predicted value;
the fault work order generation module is used for generating a corresponding fault work order for the abnormal node;
and the fault work order sending module is used for sending the fault work order to the user terminal of the user so that the user can repair the node corresponding to the fault work order.
A third aspect of the embodiments of the present application provides a readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as described in the first aspect of the present application.
A fourth aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method described in the first aspect of the present application when the processor executes the computer program.
By adopting the fault repairing method, the node information of the target node is searched in the pre-established optical network twin library in response to receiving the information query request of the target node sent by the user; the node information is sent to a user terminal of the user, so that the user performs fault restoration on the target node according to the node information; in response to receiving a repair evaluation request sent by the user, determining a node light attenuation index mean value of the target node in the optical network twin library; determining a light attenuation value between the node light attenuation index mean value and the light attenuation index value according to the node light attenuation index mean value and the current light attenuation index value of the target node; determining that the target node is successfully repaired in response to the light attenuation value being smaller than a preset light attenuation value threshold; and sending a repair evaluation qualified message to the user.
In the method, when network fault maintenance personnel need to perform fault maintenance on network nodes, firstly, an information inquiry request for the target nodes is sent to a management background of an optical network, node information of the target nodes is searched from a pre-established optical network twin library according to the information inquiry request, the fault maintenance personnel perform fault maintenance on the target nodes according to the node information of the target nodes, after the maintenance is completed, node light attenuation index mean values and current light attenuation index values of the target nodes are obtained through the optical network twin library, further fault maintenance of the maintenance personnel is evaluated, when the fault maintenance is successful, a repair evaluation qualified work order is returned to the maintenance personnel, the node information of each node of the optical network is stored in the optical network twin library, the node information can be inquired at any time, the network quality condition of the target nodes and a connected link are conveniently and timely mastered by the maintenance personnel, further, fault maintenance efficiency is improved, after the maintenance personnel is completed, fault maintenance condition of the maintenance personnel is evaluated based on the node light attenuation index mean values provided by the optical network twin library, and the maintenance quality of the optical network fault maintenance is guaranteed.
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 of the present application will be briefly described below, it being 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 flow chart of a fault remediation method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of light attenuation according to an embodiment of the present application;
fig. 3 is a schematic view of a PON link according to an embodiment of the present application;
FIG. 4 is a flow chart of a recursive process according to one embodiment of the present application;
FIG. 5 is a computational flow diagram according to one embodiment of the present application;
fig. 6 is a schematic diagram of optical network monitoring according to an embodiment of the present application;
FIG. 7 is a schematic diagram of a fault repair process according to an embodiment of the present application;
fig. 8 is a schematic diagram of a fault repairing apparatus according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without undue burden, are within the scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart of a fault repairing method according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
s11: and responding to the received information inquiry request of the target node sent by the user, and searching the node information of the target node in a pre-created optical network twin library.
In this embodiment, the target node is a node that needs to be repaired, and the node is a network node in an optical network (ODN, optical Distribution Network), and the node may be an OLT (optical line terminal ): terminal equipment, ONU (Optical Network Unit ) for connecting to an optical fiber trunk: optical network equipment, OBD (Optical Branching Device, optical splitter), typically placed at the subscriber, connected to the drop fibers of the ODN: the role in fiber optic communications is to distribute an optical signal to multiple branched optical network devices. The information inquiry request is used for requesting node information of the target node, wherein the node information comprises the node number of the target node. The optical network twin library is an optical network topology structure formed by taking each device in an optical network as a node and taking an optical fiber link as a connecting line between the nodes, and node information of the node is stored in each node. The node information comprises information such as optical receiving power, optical transmitting power, node optical attenuation index mean value, node number, equipment information, port information, optical path information and the like of each node.
In this embodiment, when a user, i.e., a maintainer, performs fault maintenance on a target node in an optical network, an information query request for the target node is sent to a background management server of the optical network, where the background management server is connected to each node in the optical network, manages all nodes in the entire optical network, and after receiving the information query request, determines a node corresponding to the information query request according to a node number included in the information query request, and then searches node information of the target node in a pre-created optical network twin library.
For example, a maintainer performs fault repair on a certain UNU node, logs in an APP corresponding to a background management server, enters a fault processing, cutting and repairing page, the node number of the ONU is 0003, then sends an information query request aiming at 0003 to the background management server, and the background finds the position of the node in an optical network twin library according to the node number to obtain node information of the node, meanwhile, the network quality of a network segment where the node is located can be evaluated, and a corresponding optimization scheme worker and maintainer reference is provided according to faults and problems occurring in the network segment where the current node is located.
S12: and sending the node information to a user terminal of the user so that the user can carry out fault repair on the target node according to the node information.
In this embodiment, an autonomous query API is set in the background management server, and both the query request of the user and the returned node information are transmitted through the API.
In this embodiment, the background management server sends node information stored in the target node to a user terminal of a user, and the user determines a cause of occurrence of a node failure according to each item of performance data of a current node included in the node information, so as to perform failure repair on the target node.
For example, a user views node information of a target node in an APP corresponding to a background management server, and the background management server sends the node information to a user terminal of the user and displays the node information in an information viewing interface of the APP.
In another embodiment of the present application, the background management server sends pre-collected network quality portrait data to the user terminal, where the optical network portrait data characterizes performance of each node in the optical network under normal conditions, and helps maintenance personnel to master performance conditions of each network node.
S13: and responding to the received repair evaluation request sent by the user, and determining a node light attenuation index mean value of the target node in the optical network twin library.
In this embodiment, the repair evaluation request is a request sent by the user management server, and is used to request to evaluate the fault repair condition of the target node, where the evaluation result includes a repair pass and a repair fail. The node light attenuation index mean value is an average value of node light attenuation index values of the nodes in a period of time, and is a sliding average value calculated in one sliding period. The optical attenuation index value is an attenuation value of a signal transmitted from one end to the other end in an optical path, and is an optical quality index parameter for evaluating the OLT (optical line terminal ) to an OBD or ONU node, and the higher the optical attenuation index value is, the stronger the signal attenuation is.
In this embodiment, after the user repairs the network node, a repair evaluation request is sent to the background management server, and the background management server determines a node light attenuation index mean value of the target node in the optical network twin library according to the node number of the node, where the node light attenuation index mean value is periodically updated and stored in the optical network twin library.
S14: and determining a light attenuation value between the node light attenuation index mean value and the light attenuation index value according to the node light attenuation index mean value and the current light attenuation index value of the target node.
In this embodiment, after the node light attenuation index mean value of the target node is obtained, the current light attenuation index value of the target node is calculated, and then the light attenuation values of the node light attenuation index mean value of the target node and the current light attenuation index value of the target node are calculated.
In this embodiment, the current light attenuation index value is obtained by subtracting the emitted light power from the received light power of the node. The light attenuation value is obtained by subtracting the current light attenuation index value from the light attenuation index mean value, and a light splitter (OBD) is used as a light path starting and stopping end region light attenuation as a calculation principle. And the background management server takes the difference value between the average value of the light attenuation indexes of the nodes and the current light attenuation index value as a standard for evaluating the repair condition.
S15: and determining that the target node is successfully repaired in response to the light attenuation value being smaller than a preset light attenuation value threshold.
In this embodiment, the preset light attenuation value threshold is the maximum value of the preset light attenuation values, when the light attenuation value is greater than the preset light attenuation value threshold, it is indicated that the light attenuation index value of the node is greater than the normal light attenuation index value, the restoration is not qualified, and when the light attenuation value is less than the preset light attenuation value threshold, it is indicated that the difference between the current light attenuation index value of the node and the normal light attenuation index value is smaller, and the restoration is qualified.
In this embodiment, when the calculated light attenuation value is smaller than the preset light attenuation value threshold, the background management server determines that the light attenuation index value of the target node after repair is a normal light attenuation index value, and determines that the repair of the target node is successful.
For example, the light attenuation value threshold may be set by itself according to the actual situation.
Referring to fig. 2, fig. 2 is a schematic diagram of light attenuation provided in an embodiment of the present application, in which a light source is sent from an OLT, and is transmitted to an optical cable cross-connecting box through an ODF (optical distribution frame ), and then an optical signal is sent to a primary beam splitter, where the primary beam splitter is connected to a secondary beam splitter, and then is connected to a device in each home, and the primary beam splitter can also be directly connected, and light attenuation can be increased through multiple beam splitting.
S16: and sending a repair evaluation qualified message to the user.
In this embodiment, when the background management server determines that the repair is qualified, a message that the repair evaluation is qualified is sent to the user, and the user completes the fault repair work of the target node after receiving the message that the repair evaluation is qualified.
In this embodiment, an optical network twin library is created in advance through a set of intelligent management system, node information of each node in the optical network is stored, when a target node fails, a maintainer can find the node information of the node from the optical network twin library, further obtain network quality of the node, receive performance data such as transmitted optical power and the like, repair the failure according to the network quality, and evaluate failure repair effects according to the average value data of optical attenuation indexes stored in the optical network twin library after the maintenance is completed, so that failure repair quality is guaranteed, and efficiency and quality of optical network failure repair are effectively improved.
In another embodiment of the present application, the method further comprises:
s21: and determining that the node repair is unsuccessful in response to the light attenuation value being greater than a preset light attenuation value threshold.
In this embodiment, when the background management server determines that the current light attenuation value is greater than the preset light attenuation value threshold, it indicates that the light attenuation index value of the node is still in an abnormal state and is not repaired successfully, and determines that the node is repaired unsuccessfully.
S22: and sending a repair evaluation disqualification message to the user.
In this embodiment, when the background management server detects that the failure repair of the target node is unsuccessful, a repair evaluation failure message is sent to the user.
In another embodiment of the present application, the step of establishing the optical network twin library includes:
s31: and collecting performance data and resource data of each node in the optical network every other preset time period.
In this embodiment, the performance data of the node includes data representing the performance of the node, such as PON (assive Optical Network, passive optical network) received optical power, PON transmitted optical power, node received optical power, node transmitted optical power, bias circuit data, optical module temperature data, bit error rate data, and the like. The resource data comprises node codes, equipment data, port data, optical path information data and the like which characterize the resources of the optical network.
In this embodiment, every other preset period of time, the performance data and the resource data of each node in the optical network are collected by using the collection module deployed in the optical network, and when the performance data and the resource data of each node in the optical network are collected, network management protocols such as SSH, tolnet, SNMP can be adopted to collect the data, and the corresponding protocol is added into the background management server, so that the data in any node connected with the background management server can be directly extracted.
S32: and according to the resource data, cleaning the performance data to obtain cleaned data.
In this embodiment, after the data of each node in the optical network is collected, the performance data is cleaned according to the collected resource data, so as to obtain cleaned data.
In this embodiment, the performing data cleaning on the performance data according to the resource data to obtain cleaned data includes:
s32-1: and deleting the performance data with repeated node numbers according to the node numbers of each node in the resource data.
In this embodiment, the resource data includes a node number of each node, and according to the node number of each node in the resource data, the collected performance data are compared, when node numbers corresponding to the same type of data collected at the same time are the same, the performance data with repeated node numbers are deleted, and each node number only retains one same type of performance data.
For example, when there are two optical module temperature data corresponding to the nodes numbered 0003, one optical module temperature data is deleted, and only one optical module temperature data is retained.
S32-2: and deleting abnormal values of the bias circuit data, the optical module temperature data and the bit error rate data in the performance data by using a box diagram method.
In the present embodiment, the box graph method is a method of removing an outlier in data.
In this embodiment, the bias circuit data, the optical module temperature data, and the bit error rate data in the performance data are extracted by using a box diagram method, and when the input data value is greater than the upper whisker of the box diagram or less than the lower whisker of the box diagram, the data are determined to be outlier data, and the deletion processing is performed.
S32-3: deleting the PON received light power, the PON transmitted light power, the node received light power and the data exceeding the preset power range in the node transmitted light power in the performance data
In this embodiment, when the received optical power of the PON, the transmitted optical power of the PON, the received optical power of the node, and the index value of the transmitted optical power of the node are greater than or less than a preset power range, the power value is determined to be abnormal data, and the data with the difference greater than the preset power difference is deleted.
Illustratively, the threshold range of the received optical power is [ -19, -3] dBm at a threshold range of the transmitted optical power [ -9, -3] dBm.
S33: and carrying out recursion processing on the optical network according to the cleaned data to obtain the optical network twin library.
In this embodiment, referring to fig. 3, fig. 3 is a schematic view of a PON link according to an embodiment of the present application, as shown in fig. 3, resource data is stored in a form of primary key association and multi-table storage, and a data model is designed for an optical path AZ (start-stop) end according to OLT and OBD, so as to form an equipment table, a port (terminal) table, and an optical path table, where the equipment table includes a primary key: a device ID; the port (terminal) table contains primary and foreign key fields: port ID, belonging device ID (device ID of associated device table); the optical path table comprises a main key and an external key: optical path ID, a-side device ID (device ID of associated device table), a-side port ID (port ID of associated port table), Z-side device ID (device ID of associated device table), Z-side port ID (port ID of associated port table).
The OLT, the OBD and the ONU of the ODN are connected through an optical path, the data model takes a PON port of the OLT as a root node, starts from an optical path table A end, traverses Z ends of all the optical path tables by adopting a recursion algorithm, and finds out corresponding leaf nodes (primary OBD and an uplink port thereof); all lower ports corresponding to the primary OBD are leaf nodes (secondary OBD and upper ports thereof) of the opposite ends of all optical paths traversed by the root node. Recursion to the final end node (ONU) is performed as described above. And (3) maintaining the traversal record each time, and finally establishing an ODN network twin library taking the ONU as a dimension to provide a data base for subsequent historical light attenuation construction and calculation and immediate light attenuation acquisition and calculation.
Referring to fig. 4, fig. 4 is a flowchart of a recursion process provided in an embodiment of the present application, and as shown in fig. 4, in the recursion process, each optical path of each PON port and each node on the optical path, and each branch optical path and each branch node are traversed, and the traversed information is added into an optical network twin library, so as to complete recursion of the entire optical network, and generate a corresponding optical network twin library.
In this embodiment, performance data is collected at regular intervals for each node of the ODN optical network, index data such as a logic ID, an optical function performance, etc. of an associated ONU are obtained, the performance data is integrated and pushed into a storage space such as a big data lake, that is, the big data is stored, and the relational data is stored into the big data lake according to various data tables of the ODN network structural design model, so that relations between each root node and leaf node in the ODN network are obtained through a recursive algorithm, an optical network twin library is formed, APIs can be provided to various applications, and regular incremental update is performed on the data. The real-time inquiry of the maintainer on the condition of each node in the optical network is more convenient, and the fault repairing efficiency is improved.
In another embodiment of the present application, the searching node information of the target node in the pre-created optical network twin library in response to receiving an information query request of the target node sent by a user includes:
S41: and determining the node number corresponding to the information inquiry request.
In this embodiment, the information query request includes a node number, and the background management server determines the node number corresponding to the query request after receiving the information query request of the user.
S42: and determining node information corresponding to the node number in the optical network twin library.
In this embodiment, the background management server determines, in the optical network twin library, the position of the corresponding node according to the node number, and further obtains node information stored on the node.
In another embodiment of the present application, the node light attenuation index mean value is stored in the optical network twin library in advance, and the step of obtaining the node light attenuation index mean value includes:
s51: and acquiring the received optical power and the transmitted optical power of each node in the optical network every day in a preset time period from the optical network twin library.
In this embodiment, the received optical power of the node is the power of the node receiving the optical signal, and the transmitted optical power of the node is the power of the node transmitting the optical signal.
In this embodiment, the received optical power and the transmitted optical power of each node in the optical network are obtained from the optical network twin library every day in a preset period of time.
S52: and determining a node light attenuation index value of the node every day in a preset time period according to the received light power and the transmitted light power.
In this embodiment, the node light attenuation index value of each node is determined according to the received light power and the transmitted light power of each node in a preset time period.
S53: and determining the node light attenuation index mean value according to the node light attenuation index value of the node every day in the preset time period.
In this embodiment, after determining the node light attenuation index value of each node every day in a preset period, the node light attenuation index average value in the period is determined.
Illustratively, according to the formula of the sliding average,
wherein SMA is average value of light attenuation index value, t is node number, n is time period, p is node light attenuation index value, each node in daily OND network stored in big data lake after cleaning collects the received light power of PON, the transmitted light power of PON, node received light power, node transmitted light power, bias circuit, optical module temperature, error rate performance index value takes 7 days as sliding period, and average value is calculated and calculated by taking into formula to store, namely
Node light decay index mean = (p1+p2+p3+p4+p5+p6+p7)/7 (2)
In this embodiment, by calculating the light attenuation index values of all active devices of the leaf nodes and adding an average value, the calculated light attenuation index values are used as performance (light attenuation) evaluation values for measuring the quality of the root nodes, and the evaluation results are added into the average light attenuation index values and the evaluation results according to the ODN twin library model of the data base for reference of subsequent applications.
The light attenuation is calculated from the collected performance data, the collected performance data is continuously stored according to days, the problem of storage capacity is considered, the historical data is obtained by taking the data of the last 7 days, and after the performance data of the new day arrives, the performance data is calculated and updated by adopting a moving average method and is used as a historical reference value for storage.
In another embodiment of the present application, the running average of the OBD and the running average are saved and stored daily for subsequent time series data predictions.
Referring to fig. 5, fig. 5 is a calculation flow chart proposed in an embodiment of the present application, as shown in fig. 5, by collecting OLT/ONU performance data and collecting passive optical network data (optical network data without power) of a resource system, the data are clear, the collected performance data are associated with an optical network twin library obtained according to a recursive algorithm, then the ONU performance data and network topology data collected daily are associated, the ONU performance data and the network topology data obtained daily are associated, the OBD performance data and the network topology data are associated, and the historical data of the past 7 days, that is, the average value of the light attenuation indexes of the past 7 days is summarized, so as to obtain the ODN network sliding evaluation reference value.
In another embodiment of the present application, before searching the optical network twin library for the node information of the target node, the method further includes:
s61: and determining time sequence data of the average value of the light attenuation indexes of each node in a preset time period according to the node information of each node in the optical network twin library.
In this embodiment, the node information of each node is stored in the optical network twin library, and the background management server may determine an optical attenuation index value of each node in a preset time period and may determine time sequence data of the optical attenuation index value of each node in the node information of each node stored in the optical network twin library.
Illustratively, time series data of the mean value of the light degradation indicators of each node every day over the past 7 days is acquired.
S62: and performing time sequence prediction on the average value of the light attenuation indexes by using a preset time sequence data prediction algorithm to obtain a predicted value of the light attenuation index of each node.
In this embodiment, the brush index prediction value is a light failure index value of each node within a future period of time predicted from time series data of the light failure index value of the node.
In this embodiment, after time sequence data of the average value of the light attenuation indexes in a preset time period is obtained, a preset time sequence data prediction algorithm is used to perform time sequence prediction on the average value of the light attenuation indexes, so as to obtain a predicted value of the light attenuation indexes of each node in a future time period.
The predictive algorithm is, for example, the ARIMA algorithm.
S63: and determining abnormal nodes in the optical network twin library according to the light attenuation index predicted value.
In this embodiment, when the difference between the predicted value of the light attenuation index and the average value of the light attenuation index is greater than the preset threshold value of the light attenuation index, it is indicated that the node is likely to fail, and the node is determined as an abnormal node in the network twinning library.
For example, the preset light attenuation index difference value threshold may be a slope of 45 degrees, and when the slope of the predicted value and the latest data reaches a threshold above 45 degrees, the node is determined to be an abnormal node.
S64: generating a corresponding fault work order for the abnormal node;
in this embodiment, after determining the abnormal node, the background management server generates a corresponding fault work order according to the abnormal node.
S65: and sending the fault work order to a user terminal of the user so that the user repairs the node corresponding to the fault work order.
In this embodiment, after the fault work order is generated, the fault work order is sent to the user side of the user, so that a maintainer repairs the node corresponding to the fault work order.
For example, the system regularly calculates time sequence data of each node, predicts the subsequent light attenuation index value by using a prediction algorithm, and generates a hidden danger repairing work order according to the slope change condition of the index value, thereby being beneficial to the integral maintenance of the optical network system, timely repairing possible faults and improving the fault repairing efficiency.
In another embodiment of the application, the data of maintenance personnel in the construction repair process are synchronously uploaded to a background management server and recorded, and the data are used for the management personnel to inquire about the condition of relevant construction execution, so that skill figures of on-site construction personnel are made and the construction quality of the on-site construction personnel is controlled.
Referring to fig. 6, fig. 6 is an optical network monitoring schematic diagram provided in an embodiment of the present application, as shown in fig. 6, an optical attenuation index value of each ONU node is calculated by an optical attenuation loss calculation module, then an optical attenuation index mean value is extracted from an ONU optical attenuation history library, that is, an optical network twin library, and is compared, and then a threshold value of the optical attenuation value is obtained from a threshold library, and a result of the comparison is displayed in an optical fiber monitoring display module, so as to determine whether fault repair is required.
Referring to fig. 7, fig. 7 is a schematic diagram of a fault repairing flow provided in an embodiment of the present application, as shown in fig. 7, when performing optical network repairing, a maintainer logs in to a system, that is, logs in to a background management server, receives a work order to require to implement construction such as cutting and barrier repairing, a maintainer can query light attenuation index changes before and after barrier repairing through an interface, the background evaluates repairing conditions of the maintainer, returns a qualified work order when repairing is qualified, continues construction through the maintainer when not qualified, and a supervisor can monitor construction quality in the background. When the index value is calculated, the node information in the optical network twin library is used, and the optical network quality portrait data is transmitted through an immediate performance query API.
In the above embodiment of the present application, in the ODN optical fiber network, from the overall consideration, the optical network new energy data and the resource data are combined, and the method is integrated into the flow of the optical network node history new energy and real-time performance data strong correlation calculation and the periodic evaluation, which is a method, so that the evaluation accuracy of the network performance is comprehensively improved, according to the ODN optical network topology structure, all root page nodes are exhausted by adopting a recursion algorithm, an ODN optical network data twin library is formed, the situation of each node in the optical network is intuitively grasped, the data collection and statistics are more facilitated, the method for evaluating the ODN optical network operation quality is formed according to the optical attenuation index mean value, meanwhile, the active optical network and the passive optical network are considered, the evaluation is more accurate, the optical attenuation value of the node is predicted by the history data, the fault hidden danger is timely found, and the stability of the whole optical network operation is improved.
Based on the same inventive concept, an embodiment of the present application provides a fault repairing apparatus. Referring to fig. 8, fig. 8 is a schematic diagram of a fault repairing apparatus 800 according to an embodiment of the present application. As shown in fig. 8, the apparatus includes:
a node information obtaining module 801, configured to search node information of a target node in a pre-created optical network twin library in response to receiving an information query request of the target node sent by a user;
A node information sending module 802, configured to send the node information to a user terminal of the user, so that the user performs fault repair on the target node according to the node information;
the light attenuation index mean value determining module 803 is configured to determine a node light attenuation index mean value of the target node in the optical network twin library in response to receiving a repair evaluation request sent by the user;
the light attenuation value determining module 804 is configured to determine a light attenuation value between the node light attenuation index mean value and the light attenuation index value according to the node light attenuation index mean value and the current light attenuation index value of the target node;
a first repair evaluation module 805, configured to determine that the target node is repaired successfully in response to the light attenuation value being less than a preset light attenuation value threshold;
a qualified message sending module 806, configured to send a repair evaluation qualified message to the user.
Optionally, the apparatus further comprises:
the second restoration evaluation module is used for determining that the node restoration is unsuccessful in response to the light attenuation value being larger than a preset light attenuation value threshold;
and the disqualification message sending module is used for sending the repair evaluation disqualification message to the user.
Optionally, the device further comprises a module for establishing an optical network twin library, and the module comprises:
the data collection sub-module is used for collecting performance data and resource data of each node in the optical network every other preset time period;
the data cleaning sub-module is used for cleaning the performance data according to the resource data to obtain cleaned data;
and the recursion processing sub-module is used for recursion processing the optical network according to the cleaned data to obtain the optical network twin library.
Optionally, the data definition submodule includes:
the repeated data deleting sub-module is used for deleting the performance data with repeated node numbers according to the node number of each node in the resource data;
the abnormal value deleting sub-module is used for deleting abnormal values of bias circuit data, optical module temperature data and bit error rate data in the performance data by using a box diagram method;
and the power data deleting sub-module is used for deleting the data exceeding the preset power range in the PON receiving optical power, the PON transmitting optical power, the node receiving optical power and the node transmitting optical power in the performance data.
Optionally, the responding to the information query request of the target node sent by the user searches node information of the target node in a pre-created optical network twin library, and includes:
determining a node number corresponding to the information inquiry request;
and determining node information corresponding to the node number in the optical network twin library.
Optionally, the device further includes a node light attenuation index average value acquisition module, where the module includes:
the power acquisition sub-module is used for acquiring the received optical power and the transmitted optical power of each node in the optical network in a preset time period from the optical network twin library;
a node light attenuation index value determining submodule, configured to determine a node light attenuation index value of the node every day in a preset time period according to the received light power and the transmitted light power;
and the node light attenuation index mean value determining submodule is used for determining the node light attenuation index mean value according to the node light attenuation index values of the nodes every day in the preset time period.
Optionally, the apparatus further comprises:
the time sequence data determining module is used for determining time sequence data of the light attenuation index mean value of each node in a preset time period according to the node information of each node in the optical network twin library;
The time sequence prediction module is used for performing time sequence prediction on the average value of the light attenuation indexes by using a preset time sequence data prediction algorithm to obtain a predicted value of the light attenuation index of each node;
the abnormal node identification module is used for determining abnormal nodes in the optical network twin library according to the light attenuation index predicted value;
the fault work order generation module is used for generating a corresponding fault work order for the abnormal node;
and the fault work order sending module is used for sending the fault work order to the user terminal of the user so that the user can repair the node corresponding to the fault work order.
Based on the same inventive concept, another embodiment of the present application provides a readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the fault remediation method according to any one of the embodiments of the present application.
Based on the same inventive concept, another embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the steps in the fault repairing method according to any one of the foregoing embodiments of the present application.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present embodiments have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the present application.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has described in detail the methods, apparatus, devices and storage media for fault remediation provided herein, and specific examples have been applied herein to illustrate the principles and embodiments of the present application, the above examples being provided only to assist in understanding the methods and core ideas of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. A method of fault remediation, the method comprising:
responding to the received information inquiry request of a target node sent by a user, and searching node information of the target node in a pre-established optical network twin library;
the node information is sent to a user terminal of the user, so that the user performs fault restoration on the target node according to the node information;
in response to receiving a repair evaluation request sent by the user, determining a node light attenuation index mean value of the target node in the optical network twin library;
determining a light attenuation value between the node light attenuation index mean value and the light attenuation index value according to the node light attenuation index mean value and the current light attenuation index value of the target node;
determining that the target node is successfully repaired in response to the light attenuation value being smaller than a preset light attenuation value threshold;
and sending a repair evaluation qualified message to the user.
2. The method of claim 1, the method further comprising:
determining that the node repair is unsuccessful in response to the light attenuation value being greater than a preset light attenuation value threshold;
and sending a repair evaluation disqualification message to the user.
3. The method of claim 1, wherein the step of establishing the optical network twinning library comprises:
collecting performance data and resource data of each node in the optical network every other preset time period;
according to the resource data, carrying out data cleaning on the performance data to obtain cleaned data;
and carrying out recursion processing on the optical network according to the cleaned data to obtain the optical network twin library.
4. A method according to claim 3, wherein said performing data cleaning on said performance data based on said resource data to obtain cleaned data comprises:
deleting the performance data with repeated node numbers according to the node number of each node in the resource data;
performing outlier deletion on bias circuit data, optical module temperature data and bit error rate data in the performance data by using a box diagram method;
and deleting the data exceeding the preset power range in the PON receiving optical power, the PON transmitting optical power, the node receiving optical power and the node transmitting optical power in the performance data.
5. The method according to claim 1, wherein the searching node information of the target node in the pre-created optical network twin library in response to receiving the information query request of the target node sent by the user comprises:
Determining a node number corresponding to the information inquiry request;
and determining node information corresponding to the node number in the optical network twin library.
6. The method according to claim 1, wherein the node light degradation indicator means is stored in the optical network twin library in advance, and the step of obtaining the node light degradation indicator means includes:
acquiring the received optical power and the transmitted optical power of each node in the optical network in a preset time period from the optical network twin library;
according to the received light power and the transmitted light power, determining a node light attenuation index value of the node every day in a preset time period;
and determining the node light attenuation index mean value according to the node light attenuation index value of the node every day in the preset time period.
7. The method of claim 1, wherein prior to looking up node information for the target node in the optical network twinning library, the method further comprises:
determining time sequence data of the average value of the light attenuation indexes of each node in a preset time period according to the node information of each node in the optical network twin library;
using a preset time sequence data prediction algorithm to perform time sequence prediction on the average value of the light attenuation indexes to obtain a predicted value of the light attenuation index of each node;
Determining abnormal nodes in the optical network twin library according to the light attenuation index predicted value;
generating a corresponding fault work order for the abnormal node;
and sending the fault work order to a user terminal of the user so that the user repairs the node corresponding to the fault work order.
8. A fault remediation device, the device comprising:
the node information acquisition module is used for responding to an information inquiry request of a target node sent by a user, and searching node information of the target node in a pre-established optical network twin library;
the node information sending module is used for sending the node information to a user terminal of the user so that the user can carry out fault repair on the target node according to the node information;
the optical attenuation index mean value determining module is used for determining a node optical attenuation index mean value of the target node in the optical network twin library in response to receiving a restoration evaluation request sent by the user;
the light attenuation value determining module is used for determining a light attenuation value between the node light attenuation index mean value and the light attenuation index value according to the node light attenuation index mean value and the current light attenuation index value of the target node;
The first restoration evaluation module is used for determining that the target node is successfully restored in response to the light attenuation value being smaller than a preset light attenuation value threshold;
and the qualified message sending module is used for sending the repair evaluation qualified message to the user.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
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