CN110719196B - Metro network equipment cutting abnormity recognition tool and method - Google Patents
Metro network equipment cutting abnormity recognition tool and method Download PDFInfo
- Publication number
- CN110719196B CN110719196B CN201910903049.0A CN201910903049A CN110719196B CN 110719196 B CN110719196 B CN 110719196B CN 201910903049 A CN201910903049 A CN 201910903049A CN 110719196 B CN110719196 B CN 110719196B
- Authority
- CN
- China
- Prior art keywords
- cutting
- cut
- index
- data
- equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a metropolitan area network device cutting abnormity recognition tool and a method, wherein the tool comprises: the cutting work order creating unit is used for determining equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, and the cutting abnormity identification index is used for identifying cutting abnormity data; creating a cutting work order according to equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut; the data acquisition unit is used for acquiring a data value corresponding to a cutting abnormity identification index of the equipment to be cut before cutting through the springboard machine; after the cutting is finished according to the cutting work order, collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine; and the cutting abnormity identification unit is used for identifying cutting abnormity data according to data values corresponding to the cutting abnormity identification indexes of the equipment to be cut before and after cutting. The method can identify the cut-over abnormity of the metropolitan area network equipment, and has high accuracy.
Description
Technical Field
The invention relates to the field of Internet, in particular to a metropolitan area network equipment cutover abnormity identification tool and a method.
Background
With the rapid development of the internet industry, the number of internet users and the types of services are continuously improved, and operators often perform the cutover of the device network in order to improve the communication service quality, however, many major network failures are caused by the fact that operation and maintenance personnel perform misoperation due to carelessness in a short time and do not find problems in time during the cutover process. Therefore, a method for accurately identifying the abnormity in the cutting process is lacked at present, so that the risk of cutting operation is reduced, and the occurrence of network faults is reduced.
Disclosure of Invention
The embodiment of the invention provides a metropolitan area network equipment cutover abnormity identification tool, which is used for identifying the cutover abnormity of the metropolitan area network equipment and has high accuracy, and the tool comprises:
the cutting work order creating unit is used for determining equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, and the cutting abnormity identification index is used for identifying cutting abnormity data; creating a cutting work order according to equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut;
the data acquisition unit is used for acquiring a data value corresponding to a cutting abnormity identification index of the equipment to be cut before cutting through the springboard machine; after the cutting is finished according to the cutting work order, collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine;
and the cutting abnormity identification unit is used for identifying cutting abnormity data according to data values corresponding to the cutting abnormity identification indexes of the equipment to be cut before and after cutting.
The embodiment of the invention provides a method for identifying the cut-over abnormity of metropolitan area network equipment, which is used for identifying the cut-over abnormity of the metropolitan area network equipment and has high accuracy, and the method comprises the following steps:
determining equipment to be cut over, a board jumper used for data acquisition and a cutting over abnormity identification index, wherein the cutting over abnormity identification index is used for identifying cutting over abnormity data;
creating a cutting work order according to equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut;
collecting a data value corresponding to a cut-over abnormity identification index of equipment to be cut-over before cut-over through a jumper; after the cutting is finished according to the cutting work order, collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine;
and identifying the cutting abnormal data according to the data values corresponding to the cutting abnormal identification indexes of the equipment to be cut before and after cutting.
The embodiment of the invention also provides computer equipment, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the method for identifying the cutover exception of the metropolitan area network equipment when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program for executing the method for identifying the metro network device cutover abnormity.
In the embodiment of the invention, the cutting work order creating unit can automatically determine equipment to be cut, a board jumper used for data acquisition and a cutting abnormity identification index, wherein the cutting abnormity identification index is used for identifying cutting abnormity data; automatically creating a cutting work order according to the equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut; the data acquisition unit automatically acquires a data value corresponding to a cutting abnormity identification index of the equipment to be cut before cutting through the board jumper; after the cutting is finished according to the cutting work order, automatically collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine; the cutting abnormity identification unit automatically identifies cutting abnormity data according to data values corresponding to cutting abnormity identification indexes of the equipment to be cut before and after cutting. According to the method, the cutting work order is automatically generated by the tool, so that the cutting process is guided, the errors of manual cutting are reduced, the data values corresponding to the cutting abnormity identification indexes before and after cutting are automatically acquired according to the cutting abnormity identification indexes, the acquired data are strong in pertinence, the cutting abnormity data are automatically identified, manual participation is not needed, the problem that manual identification cutting is easy to make mistakes is avoided, and the cutting abnormity identification accuracy is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
fig. 1 is a schematic diagram of a metro network device cutover anomaly identification tool in an embodiment of the present invention;
FIG. 2 is a schematic illustration of a plurality of cutover work orders created using the tools set forth in an embodiment of the present invention;
FIG. 3 is a schematic interface diagram of a configuration of a trigger according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an interface for creating a cutover work order in an embodiment of the present invention;
FIG. 5 is a schematic diagram of an interface for batch selection of a to-be-cut-and-cut identification in an embodiment of the present invention;
FIG. 6 is a schematic interface diagram of a new device to be cut and connected according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a batch import device to be cut according to an embodiment of the present invention;
FIG. 8 is a schematic interface diagram illustrating the data of the abnormal cutover recognition unit according to the embodiment of the present invention;
fig. 9 is a flowchart of a metro network device cutover anomaly identification method in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In the description of the present specification, the terms "comprising," "including," "having," "containing," and the like are used in an open-ended fashion, i.e., to mean including, but not limited to. Reference to the description of the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in the embodiments is for illustrative purposes to illustrate the implementation of the present application, and the sequence of steps is not limited and can be adjusted as needed.
Fig. 1 is a schematic diagram of a metro network device cutover anomaly recognition tool in an embodiment of the present invention, as shown in fig. 1, the tool includes:
the cutting work order creating unit 101 is used for determining equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, and the cutting abnormity identification index is used for identifying cutting abnormity data; creating a cutting work order according to equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut;
the data acquisition unit 102 is used for acquiring a data value corresponding to a cutting abnormity identification index of the equipment to be cut before cutting through the jumper; after the cutting is finished according to the cutting work order, collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine;
and the cutting abnormity identification unit 103 is used for identifying cutting abnormity data according to data values corresponding to the cutting abnormity identification indexes of the equipment to be cut before and after cutting.
In the embodiment of the invention, the tool automatically generates the cutting work order so as to guide the cutting process, reduce the errors of manual cutting, automatically acquire the data values corresponding to the cutting abnormity identification indexes before and after cutting according to the cutting abnormity identification indexes, have strong pertinence of the acquired data, automatically identify the cutting abnormity data without manual participation, avoid the problem of easy error of manual cutting identification, and improve the accuracy of cutting abnormity identification.
In particular, the tool can support the identification of the cut-over abnormity of multiple types of metro network devices, such as CRS/ASR9k/NCS model devices of Cisco, NE5000E/NE40E/ME60 model devices of Huawei, M6000/T8000 model devices of Zhongxing, No 7750/7950 model devices of Alang, and No. 125 series devices of Huasan. In a cutting work order, a plurality of devices to be cut can be arranged, one board jumper is used for data acquisition, and a plurality of indexes to be cut can be arranged.
In an embodiment, the cut-over abnormality identification indicator includes one or any combination of an ISIS status indicator, an OSPF status indicator, a BFD status indicator, an MPLS status indicator, a PIM status indicator, a multicast SG information indicator, an ipv4 neighbor status and received route number indicator, an ipv6 neighbor status and received route number indicator, an interface status indicator, an interface CRC number indicator, an interface transmit-receive optical indicator, an interface last up/down time indicator, and an interface traffic change indicator.
In each time the cutting work order creating unit creates the cutting work order, a plurality of cutting work orders can be selected from the indexes for cutting, and of course, it can be understood that other cutting abnormality identification indexes can be provided, and related variation examples all fall into the protection scope of the invention. The cutover work order generally has preset cutover steps and data used in each step, so that the cutover personnel can be instructed to perform the cutover of the metro network equipment. Fig. 2 is a schematic diagram of a plurality of cutting work orders created by using the tool proposed in the embodiment of the present invention, and as shown in fig. 2, the creation time, operator, item (item corresponding to the cutting work order), cutting content, state, and operation (operation that can be performed on the cutting work order) of each cutting work order are shown. In fig. 2, the states include incomplete state and end state, for the cutting work order in the incomplete state, the cutting personnel is allowed to perform operations such as editing the cutting work order, collecting before cutting, collecting after cutting, checking abnormal cutting data and end, and for the cutting work order in the end state, only abnormal cutting data can be checked.
In an embodiment, the metro network device cutover abnormality recognition tool may further include a cutover management unit, configured to manage a cutover process, where the cutover management unit sends a pre-cutover acquisition command to the data acquisition unit after the cutover work order is created, and sends a post-cutover acquisition command to the data acquisition unit after the cutover is completed.
After receiving a pre-cutting acquisition command, the data acquisition unit acquires data values corresponding to a pre-cutting abnormity identification index of equipment to be cut through a jumper, wherein the data values can be stored in a cutting work order and mark acquisition time; the reason why the data are collected through the board jumper is that the equipment to be cut off is often in network failure with the system server, so the equipment to be cut off needs to be jumped from the system server to the equipment to be cut off through the board jumper for collection.
After the cutting is finished according to the cutting work order, a collection command after cutting is received, and then data values corresponding to the cutting abnormity identification indexes after cutting are collected through a springboard machine, and the data values can be stored in the cutting work order, and the collection time is marked, so that the follow-up multiple comparison is facilitated.
After the data acquisition unit acquires the data values corresponding to the cut-over abnormal identification indexes after cutting over, the cut-over management unit can send cut-over abnormal identification commands to all boundary abnormal identification units, and after receiving the commands, the cut-over abnormal identification units identify cut-over abnormal data according to the data values corresponding to the cut-over abnormal identification indexes before and after cutting over of the equipment to be cut over.
In the cutting work order creating unit, a board jump machine used for data acquisition is determined, and a board jump machine meeting the conditions can be determined from a plurality of existing board jump machines.
In one embodiment, the metro network device cutover anomaly identification tool further comprises: a springboard configuration unit for:
configuring attribute information of a plurality of board hopping machines, wherein the attribute information of the board hopping machines comprises IP addresses, types, login protocols and ports of the board hopping machines;
the cutting work order creating unit is specifically configured to:
acquiring a cutting work order establishing command; and determining a board jump machine for data acquisition from a plurality of configured board jump machines according to the cutting work order creating command.
In the above embodiment, the springboard configuration unit may configure attribute information of a plurality of springboard machines, fig. 3 is an interface schematic diagram of the springboard machines configured in the embodiment of the present invention, and as shown in fig. 3, in addition to an IP address, a type, a login protocol, and a port of the springboard machine, the attribute information of the springboard machine may further include information such as a springboard machine identifier, a user, and a prompt, where the springboard machine identifier may be a name of the springboard machine or data of other uniquely identifiable springboard machines, and cannot be repeated, and the IP address + the port of the springboard machine cannot be repeated.
In an embodiment, the cutover work order creating unit is specifically configured to:
and (3) introducing the devices to be cut into batches and/or adding the devices to be cut into single new devices.
In an embodiment, the cutover work order creating unit is specifically configured to:
leading in the equipment to be cut in batches according to the following attribute information of the equipment to be cut, and/or singly adding the equipment to be cut newly:
the type, manufacturer, model and login protocol of the equipment to be cut.
Fig. 4 is an interface schematic diagram of creating a cutting work order in the embodiment of the present invention, and as described in fig. 4, the "newly-added device" button may implement a single newly-added device to be cut, the "import device" button may implement batch import of devices to be cut, and the "select device" button may implement a single selection of an existing device to be cut. In addition, in fig. 4, when the board jumper is selected, a method of filtering the name of the board jumper or the IP address of the board jumper may be supported. In addition, the "batch deletion" in fig. 4 supports batch deletion of multiple selected devices to be cuted, the attribute information of the devices to be cuted includes a device manufacturer, a device type, and a device model, the device manufacturer may be hua shi, zhongxing, arang, hua san, cisco, the device type may be hua shi router, zhongxing switch, etc., and the device model may be NE5000E/NE40E/ME60 (hua shi), CRS/ASR9k/NCS (cisco), M6000 (zhongxing), 7750/7950 (arang), 125XX (hua san), etc. The "collect before cut" button and the "collect after cut" button in fig. 4 can call the data collection unit to collect data before and after cut through the cut management unit. After the batch delete button, the before-cut acquisition button and the after-cut acquisition button are clicked, a similar prompt is generally required to confirm whether to delete/before-cut acquisition/after-cut acquisition? ", thereby preventing the wrong operation of the cutting personnel.
Fig. 5 is a schematic diagram of an interface for batch selection of a to-be-cut-off identification in the embodiment of the present invention, and as shown in fig. 5, the tool may support page turning and batch selection, and in the selection, an IP address of a to-be-cut-off device is used as a unique primary key.
Fig. 6 is a schematic interface diagram of newly adding equipment to be cut in the embodiment of the present invention, and fig. 7 is a schematic diagram of batch importing equipment to be cut in the embodiment of the present invention, so as to support a cutting person to flexibly use various ways of determining equipment to be cut.
In an embodiment, the data acquisition unit is specifically configured to:
collecting data values corresponding to the cutting abnormity identification indexes of a plurality of devices to be cut in batches before cutting;
and/or after the cutting is finished according to the cutting work order, acquiring data values corresponding to cutting abnormity identification indexes of a plurality of devices to be cut in batches after the cutting.
In the embodiment, the data values corresponding to the cutting abnormity identification indexes of the multiple devices to be cut before and after cutting are collected in batches, so that the data collection efficiency can be improved.
In the above embodiment, the data acquisition unit may acquire the data value corresponding to the identification index of the abnormal cutover before multiple cutover, and may also acquire the data value corresponding to the identification index of the abnormal cutover after multiple cutover, so that the identification of the abnormal cutover is realized for multiple times, and the utilization rate of the acquired data is high. The collected data can also be exported to other storage devices, for example, into a txt file, and when the data is exported, a txt file can be exported by using a device IP address as a unit and one device IP address. If any data acquisition fails, the data acquisition can be identified in the cutting work order.
Fig. 8 is an interface schematic diagram of the cutting anomaly identification unit identifying cutting anomaly data according to the embodiment of the present invention, the metro network device may adopt a tree structure for display, each interface displays one metro network device and may switch and display different devices, the display title of each interface may be an device IP address + a device manufacturer, each cutting anomaly identification index may switch and display, an index with cutting anomaly may be marked with a specific color (for example, red), which collected data is selected for this time of identification, and during identification, the last data of a data value corresponding to the cutting anomaly identification index before cutting and the last data of a data value corresponding to the cutting anomaly identification index after cutting are generally adopted. When comparing before and after the cutting of each cutting abnormity identification index, the overall configuration index can be marked by a specific color (for example, red), and can be used as a cutting abnormity identification index, and if the equipment before and after the cutting is inconsistent, the value of the overall configuration index is not required to be displayed.
In one embodiment, the metro network device cutover anomaly identification tool further comprises:
the device to be cut and connected management unit is used for performing adding operation, deleting operation or modifying operation on all stored devices to be cut and connected;
and the cutting abnormity identification index management unit is used for performing addition operation, deletion operation or modification operation on all the stored cutting abnormity identification indexes.
The management unit of the equipment to be spliced provides a flexible management mode of the metropolitan area network equipment for the splicing personnel, and the management unit of the abnormal splicing identification index provides a flexible management mode of the abnormal splicing identification index for the splicing personnel.
In an embodiment, the metro network device cutover anomaly recognition tool further includes an early warning unit, configured to:
and generating early warning information according to the cutting abnormity data, wherein the early warning information is used for prompting the cutting abnormity of cutting personnel.
A specific embodiment is given below to illustrate an application of the metro network device cutover anomaly recognition tool according to the embodiment of the present invention.
Firstly, a cutting work order creating unit determines equipment to be cut and spliced, wherein the equipment to be cut and spliced comprises Cisco (CRS/ASR9k/NCS), Huachi (NE40E/ME60/NE5000E), Zhongxing (M6000), Alang (7750/7950) and Huasan (125XX), and a board jumper used for data acquisition and cutting abnormity identification indexes are determined, wherein the equipment comprises an ISIS state index, an OSPF state index, a BFD state index, an MPLS state index, a PIM state index, a multicast SG information index, an ipv4 neighbor state and received route number index, an ipv6 neighbor state and received route number index, a vvneighbor state and received route number index, an interface state index, an interface CRC number index, an interface transceiving optical index, an interface nearest up/down time index and an interface flow change index; and creating a cutting work order according to the equipment to be cut, the board jump machine used for data acquisition and the cutting abnormity identification index.
Then, the cutover management unit sends a pre-cutover acquisition command to the data acquisition unit, the data acquisition unit acquires data values corresponding to the identification index of the cutting abnormity of the equipment to be cutover before cutting through the springboard machine after receiving the pre-cutover acquisition command, and the data values can be stored in a cutting work order and mark acquisition time; the cutover personnel carry out cutover according to the cutover work order, then, the cutover management unit sends the acquisition command after the cutover to the data acquisition unit, and the data acquisition unit receives the acquisition command after the cutover, later begins to collect the data value that the abnormal recognition index of cutover after the cutover corresponds through the springboard machine, and these data values also can be saved in the cutover work order to mark acquisition time.
The data acquisition and the abnormal recognition condition of each type of cutting abnormal recognition index are described below.
(1) ISIS status index
Aiming at the equipment to be cut-off in Cisco (CRS/ASR9k/NCS), the command of the data acquisition unit for acquiring the data value of the ISIS state index is show ISIS neighbors.
Aiming at the equipment to be cut off with Hua being (NE40E/ME60), the command of the data acquisition unit for acquiring the data value of the ISIS state index is display ISIS peer.
Aiming at the equipment to be cut and connected of the Xingxi (M6000), the command of the data acquisition unit for acquiring the data value of the ISIS state index is show ISIS adjacency.
For the device to be cut-off of Alang (7750/7950), the command of the data acquisition unit for acquiring the data value of the ISIS state index is show router ISIS adjacency.
Aiming at the equipment to be cut off of Huasan (125XX), the command of the data acquisition unit for acquiring the data value of the ISIS state index is display ISIS peer.
And the cutting abnormity identification unit identifies abnormal cutting data according to data values corresponding to ISIS state indexes of the equipment before and after cutting, wherein when the equipment name (ISIS neighbor) and the state (including the number of entries and the name of the opposite end equipment) after cutting are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data are the abnormal cutting data.
(2) OSPF State index
For the equipment to be cut-off in Cisco (CRS/ASR9k/NCS), the command of the data acquisition unit in acquiring the data value of the OSPF state index is show OSPF neighbor.
For the equipment to be cut and spliced with Hua of (NE5000E/40E/ME60), the command of the data acquisition unit for acquiring the data value of the OSPF state index is display OSPF peer brief.
For a device to be cut and connected in the Xingxi (M6000), a command of the data acquisition unit for acquiring the data value of the OSPF state index is a show ip OSPF neighbor.
For the device to be cut-off of Arron (7750/7950), the command of the data acquisition unit acquiring the data value of the OSPF state index is the show router OSPF 20 neighbor.
Aiming at the equipment to be cut off of Huasan (125XX), the command of the data acquisition unit for acquiring the data value of the OSPF state index is display OSPF peer.
And the cutting abnormal identification unit identifies cutting abnormal data according to data values corresponding to OSPF state indexes of the equipment before and after cutting, wherein when the IP address (router id), the state and the interface (including the number of entries and the IP address of the opposite terminal equipment) of the equipment after cutting are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and the inconsistent data is the cutting abnormal data.
(3) BFD status index
Aiming at the equipment to be cut-off in Cisco (CRS/ASR9k/NCS), the command of the data acquisition unit for acquiring the data value of the BFD state index is show BFD session.
Aiming at the equipment to be cut-over with Hua being (NE5000E/40E/ME60), the command of the data acquisition unit for acquiring the data value of the BFD state index is display BFD session all.
Aiming at the device to be cut and connected of the Xingxi (M6000), the command of the data acquisition unit for acquiring the data value of the BFD state index is show BFD neighbors ip brief.
For the device to be cut-over of Alang (7750/7950), the command of the data acquisition unit for acquiring the data value of the BFD state index is show router BFD session.
For the equipment to be cut off of Huasan (125XX), the command of the data acquisition unit for acquiring the data value of the BFD state index is display BFD session.
And the cutting abnormal identification unit identifies cutting abnormal data according to data values corresponding to BFD state indexes of the equipment before and after cutting, wherein when the Interface number (Interface) and the state (including the number of entries and the IP address of the opposite terminal equipment) of the equipment after cutting are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is cutting abnormal data.
(4) MPLS status indicators
Aiming at equipment to be cut off in Cisco (CRS/ASR9k/NCS), the command of the data acquisition unit for acquiring the data value of the MPLS state index is show MPLS interfaces.
For the equipment to be cut-off with Hua being (40E/ME60), the command of the data acquisition unit for acquiring the data value of the MPLS state index is dis MPLS interface.
For a device to be cut of the zhongxing (M6000), a command of the data acquisition unit for acquiring the data value of the MPLS state index is show MPLS lsp interface instance 100.
For the device to be cut-off of Alang (7750/7950), the command of the data acquisition unit for acquiring the data value of the MPLS state index is the show router MPLS interface.
For the device to be cut-off of hua san (125XX), the command of the data acquisition unit for acquiring the data value of the MPLS state index is display bfd session.
And the cutting abnormal identification unit identifies cutting abnormal data according to data values corresponding to the MPLS state indexes of the equipment before and after cutting, wherein when the Interface number (Interface) and the state (including the number of entries) of the equipment after cutting are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is cutting abnormal data.
(5) PIM status index
Aiming at a device to be cut off in Cisco (CRS/ASR9k/NCS), the command of the data acquisition unit for acquiring the data value of the PIM state index is a show PIM neighbor.
Aiming at the equipment to be cut off with Hua being (40E/ME60), the command of the data acquisition unit for acquiring the data value of the PIM state index is display PIM neighbor.
Aiming at a device to be cut off with a medium (M6000), a command of the data acquisition unit for acquiring the data value of the PIM state index is a show ip PIM neighbor.
For the device to be cut-off of Alang (7750/7950), the command of the data acquisition unit for acquiring the data value of the PIM state index is a show router PIM neighbor.
Aiming at the equipment to be cut off of Huasan (125XX), the command of the data acquisition unit for acquiring the data value of the PIM state index is display PIM neighbor.
And the cutting abnormal identification unit identifies cutting abnormal data according to data values corresponding to PIM state indexes of the equipment before and after cutting, wherein when the Interface number (Interface) and the state (including the number of items) of the equipment after cutting are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is cutting abnormal data.
(6) Multicast SG information indicator
Aiming at a device to be cut-off in Cisco (CRS/ASR9k/NCS), the command of the data acquisition unit for acquiring the data value of the multicast SG information index is show mrib route.
Aiming at the equipment to be cut off, which is (40E/ME60), the command of the data acquisition unit for acquiring the data value of the multicast SG information index is a display multicast routing-table.
Aiming at the equipment to be cut and connected of the Xingxi (M6000), the command of the data acquisition unit for acquiring the data value of the multicast SG information index is show ip pim mroute.
For the device to be cut-over of Alang (7750/7950), the command of the data acquisition unit in acquiring the data value of the multicast SG information index is show router pim group type SG.
Aiming at the equipment to be cut off of Huasan (125XX), the command of the data acquisition unit for acquiring the data value of the multicast SG information index is a display pim routing-table.
And the cutting abnormal identification unit identifies cutting abnormal data according to data values corresponding to the multicast SG information indexes of the device before and after cutting, wherein when the SG information (the multicast source address and the multicast address) after cutting is completely consistent with that before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is the cutting abnormal data.
(7) Ipv4 neighbor state and received route number index
Aiming at a device to be cut off in Cisco (CRS/ASR9k/NCS), a command of a data acquisition unit for acquiring ipv4 neighbor states and receiving a data value of a route number index is show bgp summary.
Aiming at the equipment to be cut off with Hua being (40E/ME60), the command of the data acquisition unit for acquiring the ipv4 neighbor state and receiving the data value of the route number index is display bgppaper.
Aiming at the equipment to be cut and connected in the Xingxi (M6000), the command of the data acquisition unit for acquiring the neighbor state of the ipv4 and receiving the data value of the route number index is show bgpp ipv4 unique summary.
Aiming at the device to be cut off of Arron (7750/7950), the command of the data acquisition unit for acquiring the neighbor state of ipv4 and receiving the data value of the route number index is show route by gp summary family ipv 4.
Aiming at the equipment to be cut off of Huasan (125XX), a command of the data acquisition unit for acquiring the neighbor state of ipv4 and receiving the data value of the route number index is display bgp peer ipv4 unicast.
And the cutting abnormal identification unit identifies cutting abnormal data according to the neighbor states of the ipv4 and the data values corresponding to the received route number indexes before and after cutting of the equipment, wherein when the neighbor states and the received route number of the ipv4 after cutting are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data are cutting abnormal data.
(8) Ipv6 neighbor state and received route number index
Aiming at a to-be-cutover device of Cisco (CRS/ASR9k/NCS), a command of a data acquisition unit for acquiring the neighbor state of ipv6 and receiving the data value of a route number index is show bgipv 6 unicast summary.
Aiming at the equipment to be cut off, the equipment is (40E/ME60), and the command of the data acquisition unit for acquiring the neighbor state of ipv6 and receiving the data value of the route number index is display bgp ipv6 peer.
Aiming at the equipment to be cut and connected in the Xingxi (M6000), the command of the data acquisition unit for acquiring the neighbor state of the ipv6 and receiving the data value of the route number index is show bgpp ipv6 unique summary.
For the device to be cut off of Arron (7750/7950), the command of the data acquisition unit for acquiring the ipv6 neighbor state and receiving the data value of the route number index is the show route pim group type sg.
Aiming at the equipment to be cut off of Huasan (125XX), a command of the data acquisition unit for acquiring the neighbor state of ipv6 and receiving the data value of the route number index is display bgp peer ipv6 unicast.
And the cutting abnormal identification unit identifies cutting abnormal data according to the neighbor states of the ipv6 and the data values corresponding to the received route number indexes before and after cutting of the equipment, wherein when the neighbor states and the received route number of the ipv6 after cutting are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data are cutting abnormal data.
(9) Index of vpn neighbor state and receiving route number
Aiming at equipment to be cut off in Cisco (CRS/ASR9k/NCS), a command of a data acquisition unit for acquiring a vpn neighbor state and receiving a data value of a route number index is show bgp vpnv4 unicast summary.
Aiming at the equipment to be cut off with Hua being (40E/ME60), the command of the data acquisition unit for acquiring the vpn neighbor state and receiving the data value of the route number index is display bgipv 6 peer.
Aiming at the equipment to be cut and connected in the Xingxi (M6000), the command of the data acquisition unit for acquiring the vpn neighbor state and receiving the data value of the route number index is show bgp vpnv4 unity summary.
For the device to be cut-over of Alang (7750/7950), the command of the data acquisition unit for acquiring the vpn neighbor state and receiving the data value of the route number index is the show router pi group type sg.
Aiming at the equipment to be cut off of Huasan (125XX), a command of the data acquisition unit for acquiring the vpn neighbor state and receiving the data value of the route number index is display by gp peer vpnv4 unicast.
And the cutting abnormal identification unit identifies cutting abnormal data according to the vpn neighbor states before and after cutting of the equipment and the data values corresponding to the received route number indexes, wherein when the vpn neighbor states and the received route number are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is the cutting abnormal data.
(10) Interface status indicator
Aiming at equipment to be cut off in Cisco (CRS/ASR9k/NCS), a command of a data acquisition unit for acquiring a data value of an interface state index is display interface brief.
Aiming at the equipment to be cut-off with Hua being (40E/ME60), the command of the data acquisition unit for acquiring the data value of the interface state index is show interface brief.
Aiming at the equipment to be cut and connected of the Xingxi (M6000), the command of the data acquisition unit for acquiring the data value of the interface state index is show interface | in line.
For the device to be cut-off of Alang (7750/7950), the command of the data acquisition unit for acquiring the data value of the interface state index is show port.
Aiming at the equipment to be cut off of Huasan (125XX), the command of the data acquisition unit for acquiring the data value of the interface state index is display interface brief.
And the cutting abnormity identification unit identifies cutting abnormity data according to data values corresponding to the interface state indexes of the equipment before and after cutting, wherein when the interface physical state and the protocol state of each interface number after cutting are completely consistent with those before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is the cutting abnormity data.
(11) Interface CRC number indicator
Aiming at equipment to be cut off in Cisco (CRS/ASR9k/NCS), the command of the data acquisition unit for acquiring the data value of the CRC number index of the interface is display interface name | in CRC.
For the to-be-cut equipment with Hua being (40E/ME60), the command of the data acquisition unit for acquiring the data value of the CRC number index of the interface is the show interfaces name | in CRC.
Aiming at the equipment to be cut and connected of the Zhongxing (M6000), the command of the data acquisition unit for acquiring the data value of the CRC number index of the interface is the name | in CRC of the show interface.
For the device to be cut and connected of alang (7750/7950), the command of the data acquisition unit for acquiring the data value of the CRC number index of the interface is the show port interface name | match FCS.
Aiming at the equipment to be cut off of Huasan (125XX), the command of the data acquisition unit for acquiring the data value of the CRC number index of the interface is the display interface name | in CRC.
And the cutting abnormity identification unit identifies abnormal cutting data according to data values corresponding to the CRC quantity indexes of the interfaces of the equipment before and after cutting, wherein when the CRC quantity of each interface name after cutting is completely consistent with that before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is abnormal cutting data.
(12) Interface light receiving and emitting index
Aiming at equipment to be cut off in Cisco (CRS/ASR9k/NCS), a command of a data acquisition unit for receiving a data value of a luminous index at an acquisition interface is a display interface name | in CRC.
For the to-be-cut device with Hua being (40E/ME60), the command that the data acquisition unit receives the data value of the light-emitting index at the acquisition interface is the name of the show controllers interface phy | in dB.
Aiming at the equipment to be cut and connected of the Xingxi (M6000), the command of the data acquisition unit for receiving the data value of the luminous index at the acquisition interface is the name | in dB of the window optical info interface.
And the cutting abnormity identification unit identifies cutting abnormity data according to data values corresponding to the light emitting indexes received by the interfaces of the equipment before and after cutting, wherein when the light power of the receiving and transmitting light of each interface name after cutting is completely consistent with that before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is the cutting abnormity data.
(13) Interface recent up/down time index
Aiming at equipment to be cut-over in Cisco (CRS/ASR9k/NCS), the command of the data acquisition unit for acquiring the data value of the latest up/down time index of the interface is dis int interface name | i time.
Aiming at the equipment to be cut-over with Hua being (40E/ME60), the command of the data acquisition unit for acquiring the data value of the latest up/down time index of the interface is the name | i time of the sho interfaces.
Aiming at the equipment to be cut and connected of the Zhongxing (M6000), the command of the data acquisition unit for acquiring the data value of the latest up/down time index of the interface is the name | i time of the sho interface.
For the device to be cut-over of Alang (7950/7750), the command of the data acquisition unit for acquiring the data value of the latest up/down time index of the interface is the sho port interface name | match Change.
And the cutting abnormity identification unit identifies cutting abnormity data according to data values corresponding to the latest up/down time indexes of the interfaces of the equipment before and after cutting, wherein when the up/down time of each interface after cutting is completely consistent with that before cutting, the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is the cutting abnormity data.
(14) Interface flow variation index
Aiming at equipment to be cut off in Cisco (CRS/ASR9k/NCS), a command of a data acquisition unit for acquiring a data value of an interface flow change index is dis int interface name | i bits.
Aiming at the equipment to be cut off, which is (40E/ME60), the command of the data acquisition unit for acquiring the data value of the interface flow change index is the sho interfaces interface name | i bits.
Aiming at the equipment to be cut and connected of Zhongxing (M6000), the command of the data acquisition unit for acquiring the data value of the flow change index of the interface is the name | i Bps of the sho interface.
For the device to be cut off of Arron (7950/7750), the command of the data acquisition unit for acquiring the data value of the interface traffic variation index is the monitor port interface name interval 3repeat 1.
For a device to be cut off of hua san (125XX), a command of the data acquisition unit for acquiring a data value of an interface flow change index is a dis int interface name | i packets.
And the cutting abnormity identification unit identifies cutting abnormity data according to data values corresponding to the interface flow change indexes of the equipment before and after cutting, wherein when the output change value of each interface flow after cutting is within a set threshold (for example, 20 percent), the cutting is normal, otherwise, the cutting is abnormal, and inconsistent data is the cutting abnormity data.
In summary, in the tool provided in the embodiment of the present invention, the cutting work order creating unit may automatically determine the equipment to be cut, the board jumper used for data acquisition, and the cutting abnormality identification index, where the cutting abnormality identification index is used to identify the cutting abnormality data; automatically creating a cutting work order according to the equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut; the data acquisition unit automatically acquires a data value corresponding to a cutting abnormity identification index of the equipment to be cut before cutting through the board jumper; after the cutting is finished according to the cutting work order, automatically collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine; the cutting abnormity identification unit automatically identifies cutting abnormity data according to data values corresponding to cutting abnormity identification indexes of the equipment to be cut before and after cutting. According to the method, the cutting work order is automatically generated by the tool, so that the cutting process is guided, the errors of manual cutting are reduced, the data values corresponding to the cutting abnormity identification indexes before and after cutting are automatically acquired according to the cutting abnormity identification indexes, the acquired data are strong in pertinence, the cutting abnormity data are automatically identified, manual participation is not needed, the problem that manual identification cutting is easy to make mistakes is avoided, and the cutting abnormity identification accuracy is improved.
Based on the same inventive concept, the embodiment of the present invention further provides a method for identifying a metropolitan area network device cutover exception, as described in the following embodiments. Because the principles of solving the problems are similar to the metro network device cutover anomaly identification tool, the implementation of the method can be referred to the implementation of the tool, and repeated parts are not described in detail.
Fig. 9 is a flowchart of a method for identifying a cutover exception of a metro network device in an embodiment of the present invention, as shown in fig. 9, the method includes:
and 904, recognizing the cutting abnormal data according to the data values corresponding to the cutting abnormal recognition indexes of the device to be cut before and after cutting.
In an embodiment, the method further comprises:
configuring attribute information of a plurality of board hopping machines, wherein the attribute information of the board hopping machines comprises IP addresses, types, login protocols and ports of the board hopping machines;
determining a springboard machine for data acquisition comprising:
acquiring a cutting work order establishing command; and determining a board jump machine for data acquisition from a plurality of configured board jump machines according to the cutting work order creating command.
In one embodiment, determining a device to be spliced comprises:
and (3) introducing the devices to be cut into batches and/or adding the devices to be cut into single new devices.
In an embodiment, the batch import of the devices to be cuted, and/or the single newly-added device to be cuted, includes:
leading in the equipment to be cut in batches according to the following attribute information of the equipment to be cut, and/or singly adding the equipment to be cut newly:
the type, manufacturer, model and login protocol of the equipment to be cut.
In one embodiment, a data value corresponding to a cutting abnormity identification index of equipment to be cut before cutting is collected; after completing the cutting according to the cutting work order, collecting the data value corresponding to the cutting abnormity identification index after cutting, comprising:
collecting data values corresponding to the cutting abnormity identification indexes of a plurality of devices to be cut in batches before cutting;
and/or after the cutting is finished according to the cutting work order, acquiring data values corresponding to cutting abnormity identification indexes of a plurality of devices to be cut in batches after the cutting.
In an embodiment, the method further comprises:
adding, deleting or modifying all the stored devices to be cut;
and performing addition operation, deletion operation or modification operation on all the stored cutting abnormity identification indexes.
In an embodiment, the method further comprises:
and generating early warning information according to the cutting abnormity data, wherein the early warning information is used for prompting the cutting abnormity of cutting personnel.
In an embodiment, the cut-over abnormality identification indicator includes one or any combination of an ISIS status indicator, an OSPF status indicator, a BFD status indicator, an MPLS status indicator, a PIM status indicator, a multicast SG information indicator, an ipv4 neighbor status and received route number indicator, an ipv6 neighbor status and received route number indicator, an interface status indicator, an interface CRC number indicator, an interface transmit-receive optical indicator, an interface last up/down time indicator, and an interface traffic change indicator.
In summary, in the method provided in the embodiment of the present invention, the device to be cuted, the trigger used for data acquisition, and the cutting abnormality identification index may be automatically determined, where the cutting abnormality identification index is used to identify cutting abnormality data; automatically creating a cutting work order according to the equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut; automatically collecting a data value corresponding to a cut-over abnormity identification index of equipment to be cut-over before cut-over through a gangboard machine; after the cutting is finished according to the cutting work order, automatically collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine; and automatically identifying the cutting abnormal data according to the data values corresponding to the cutting abnormal identification indexes of the equipment to be cut before and after cutting. According to the method, the cutting work order is automatically generated by the tool, so that the cutting process is guided, the errors of manual cutting are reduced, the data values corresponding to the cutting abnormity identification indexes before and after cutting are automatically acquired according to the cutting abnormity identification indexes, the acquired data are strong in pertinence, the cutting abnormity data are automatically identified, manual participation is not needed, the problem that manual identification cutting is easy to make mistakes is avoided, and the cutting abnormity identification accuracy is improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, 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.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (11)
1. A metropolitan area network device cutover anomaly identification tool, comprising:
the cutting work order creating unit is used for determining equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, and the cutting abnormity identification index is used for identifying cutting abnormity data; creating a cutting work order according to equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut;
the data acquisition unit is used for acquiring a data value corresponding to a cutting abnormity identification index of the equipment to be cut before cutting through the springboard machine; after the cutting is finished according to the cutting work order, collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine;
and the cutting abnormity identification unit is used for identifying cutting abnormity data according to data values corresponding to the cutting abnormity identification indexes of the equipment to be cut before and after cutting.
2. The metro network device cutover anomaly identification tool according to claim 1, further comprising: a springboard configuration unit for:
configuring attribute information of a plurality of board hopping machines, wherein the attribute information of the board hopping machines comprises IP addresses, login protocols and ports of the board hopping machines;
the cutting work order creating unit is specifically configured to:
acquiring a cutting work order establishing command; and determining a board jump machine for data acquisition from a plurality of configured board jump machines according to the cutting work order creating command.
3. The metro network device cutover anomaly identification tool according to claim 1, wherein the cutover work order creation unit is specifically configured to:
and (3) introducing the devices to be cut into batches and/or adding the devices to be cut into single new devices.
4. The metro network device cutover anomaly identification tool according to claim 3, wherein the cutover work order creation unit is specifically configured to:
leading in the equipment to be cut in batches according to the following attribute information of the equipment to be cut, and/or singly adding the equipment to be cut newly:
the type, manufacturer, model and login protocol of the equipment to be cut.
5. The metro network device cutover anomaly identification tool according to claim 1, wherein the data acquisition unit is specifically configured to:
collecting data values corresponding to the cutting abnormity identification indexes of a plurality of devices to be cut in batches before cutting;
and/or after the cutting is finished according to the cutting work order, acquiring data values corresponding to cutting abnormity identification indexes of a plurality of devices to be cut in batches after the cutting.
6. The metro network device cutover anomaly identification tool according to claim 1, further comprising:
the device to be cut and connected management unit is used for performing adding operation, deleting operation or modifying operation on all stored devices to be cut and connected;
and the cutting abnormity identification index management unit is used for performing addition operation, deletion operation or modification operation on all the stored cutting abnormity identification indexes.
7. The metro network device cutover anomaly identification tool according to claim 1, further comprising an early warning unit for:
and generating early warning information according to the cutting abnormity data, wherein the early warning information is used for prompting the cutting abnormity of cutting personnel.
8. The metro network device cutover anomaly recognition tool according to claim 1, wherein the cutover anomaly recognition index comprises one or any combination of an ISIS status index, an OSPF status index, a BFD status index, an MPLS status index, a PIM status index, a multicast SG information index, an ipv4 neighbor status and received route number index, an ipv6 neighbor status and received route number index, a vpn neighbor status and received route number index, an interface status index, an interface CRC number index, an interface transmit-receive optical index, an interface last up/down time index, and an interface traffic change index.
9. A metropolitan area network device cutover exception identification method is characterized by comprising the following steps:
determining equipment to be cut over, a board jumper used for data acquisition and a cutting over abnormity identification index, wherein the cutting over abnormity identification index is used for identifying cutting over abnormity data;
creating a cutting work order according to equipment to be cut, a board jumping machine used for data acquisition and a cutting abnormity identification index, wherein the cutting work order is used for guiding the metropolitan area network equipment to cut;
collecting a data value corresponding to a cut-over abnormity identification index of equipment to be cut-over before cut-over through a jumper; after the cutting is finished according to the cutting work order, collecting a data value corresponding to the cutting abnormity identification index after the cutting through a gangboard machine;
and identifying the cutting abnormal data according to the data values corresponding to the cutting abnormal identification indexes of the equipment to be cut before and after cutting.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of claim 9 when executing the computer program.
11. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910903049.0A CN110719196B (en) | 2019-09-24 | 2019-09-24 | Metro network equipment cutting abnormity recognition tool and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910903049.0A CN110719196B (en) | 2019-09-24 | 2019-09-24 | Metro network equipment cutting abnormity recognition tool and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110719196A CN110719196A (en) | 2020-01-21 |
| CN110719196B true CN110719196B (en) | 2022-03-08 |
Family
ID=69210023
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910903049.0A Active CN110719196B (en) | 2019-09-24 | 2019-09-24 | Metro network equipment cutting abnormity recognition tool and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110719196B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111478792B (en) * | 2020-03-05 | 2021-11-02 | 网宿科技股份有限公司 | Cutover information processing method, system and device |
| CN112350905B (en) * | 2020-10-30 | 2022-03-04 | 中盈优创资讯科技有限公司 | Method and device for quickly confirming service after operation business router is changed |
| CN112491597A (en) * | 2020-11-13 | 2021-03-12 | 中盈优创资讯科技有限公司 | Automatic special line relay cutover method and device |
| CN112468897B (en) * | 2020-11-13 | 2023-03-10 | 中盈优创资讯科技有限公司 | PON port cut-over automatic configuration method and device |
| CN112365179A (en) * | 2020-11-23 | 2021-02-12 | 中盈优创资讯科技有限公司 | Method and device for monitoring opening of mass data |
| CN112527379B (en) * | 2020-12-01 | 2022-11-11 | 深圳市证通云计算有限公司 | Guacamole-based fort machine application operation and maintenance method, device, equipment and medium |
| CN112737821B (en) * | 2020-12-22 | 2022-05-27 | 新华三大数据技术有限公司 | Data acquisition method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101494551A (en) * | 2008-01-22 | 2009-07-29 | 华为技术有限公司 | Method, apparatus and system for business cutover |
| CN105871451A (en) * | 2016-03-21 | 2016-08-17 | 杭州东方通信软件技术有限公司 | Network cutover switching method and apparatus |
| CN107018014A (en) * | 2017-03-14 | 2017-08-04 | 烽火通信科技股份有限公司 | It is a kind of based on circuit configure to flash cut method |
| CN110048897A (en) * | 2019-04-29 | 2019-07-23 | 杭州东方通信软件技术有限公司 | A kind of intelligent network cutover centralized dispatching management system and method |
-
2019
- 2019-09-24 CN CN201910903049.0A patent/CN110719196B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101494551A (en) * | 2008-01-22 | 2009-07-29 | 华为技术有限公司 | Method, apparatus and system for business cutover |
| CN105871451A (en) * | 2016-03-21 | 2016-08-17 | 杭州东方通信软件技术有限公司 | Network cutover switching method and apparatus |
| CN107018014A (en) * | 2017-03-14 | 2017-08-04 | 烽火通信科技股份有限公司 | It is a kind of based on circuit configure to flash cut method |
| CN110048897A (en) * | 2019-04-29 | 2019-07-23 | 杭州东方通信软件技术有限公司 | A kind of intelligent network cutover centralized dispatching management system and method |
Non-Patent Citations (1)
| Title |
|---|
| 一种基于大数据分析的网络割接调整支撑方法;汤卫东 等;《信息通信》;20180215;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110719196A (en) | 2020-01-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110719196B (en) | Metro network equipment cutting abnormity recognition tool and method | |
| US20200106662A1 (en) | Systems and methods for managing network health | |
| CN106331189B (en) | Log obtaining method and device and network management server | |
| JP4988674B2 (en) | Network monitoring device, network monitoring method, and network monitoring program | |
| EP3101841B1 (en) | Method, system and computer readable medium for network management automation | |
| CN109654666B (en) | Method, device and equipment for debugging unit | |
| EP3101842B1 (en) | Method, system and computer readable medium for network management automation | |
| CN111314802B (en) | Optical fiber cutting method and device, SDN controller, system and storage medium | |
| CN109040178B (en) | Configuration information sending method and device | |
| CN111010298B (en) | PON (passive optical network) network fault monitoring method and device | |
| CN104270389A (en) | Method and system for automatically restoring security configuration vulnerability of router/ interchanger | |
| CN110912606A (en) | Fault positioning method and device for PON cloud private network | |
| CN112311574A (en) | Method, device and equipment for checking network topology connection | |
| CN110737660A (en) | data processing method, device and computer readable storage medium | |
| CN106713038B (en) | remote transmission line quality detection method and system | |
| CN101431435B (en) | Connection-oriented service configuration and management method | |
| CN113992507B (en) | Method, device, server and storage medium for determining default parameter values | |
| CN112350905B (en) | Method and device for quickly confirming service after operation business router is changed | |
| US10432451B2 (en) | Systems and methods for managing network health | |
| CN111106951A (en) | Method for associating terminal information and resource of terminal management platform | |
| JP5691556B2 (en) | Network route search system and method | |
| CN112654059B (en) | Method and device for determining reason of abnormal transmission communication of base station | |
| JP2006186633A (en) | System, method, and program for fault path diagnosis | |
| CN108683552A (en) | Network management, device, network controller and network system | |
| CN109947892A (en) | Analysis path determines method and system, interface, log tree constructing method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP02 | Change in the address of a patent holder |
Address after: Room 702-2, No. 4811, Cao'an Highway, Jiading District, Shanghai Patentee after: CHINA UNITECHS Address before: 100872 5th floor, Renmin culture building, 59 Zhongguancun Street, Haidian District, Beijing Patentee before: CHINA UNITECHS |
|
| CP02 | Change in the address of a patent holder |