CN115102828A - Fault analysis method and device - Google Patents
Fault analysis method and device Download PDFInfo
- Publication number
- CN115102828A CN115102828A CN202211028771.2A CN202211028771A CN115102828A CN 115102828 A CN115102828 A CN 115102828A CN 202211028771 A CN202211028771 A CN 202211028771A CN 115102828 A CN115102828 A CN 115102828A
- Authority
- CN
- China
- Prior art keywords
- topological graph
- connectivity
- packet loss
- loss rate
- log
- 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.)
- Pending
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
- H04L41/02—Standardisation; Integration
- H04L41/0246—Exchanging or transporting network management information using the Internet; Embedding network management web servers in network elements; Web-services-based protocols
-
- 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
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
-
- 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
- H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention belongs to the technical field of IT fault detection, and relates to a fault analysis method and a fault analysis device, wherein the fault analysis method comprises the following steps: configuring a topological graph among the MES system, the data center, the core backbone network and the field network; acquiring performance indexes of nodes related to a server, a database and network equipment in a topological graph; acquiring logs of nodes related to network equipment and an application server in a topological graph; acquiring connectivity and packet loss rate of nodes related to a work station, a server and network equipment in a topological graph; displaying the performance index, the log, the connectivity and the packet loss rate of the corresponding node in the topological graph; and analyzing the performance index, the log, the connectivity and the packet loss rate, and sending alarm information in the topological graph when the performance index, the log, the connectivity and the packet loss rate are abnormal. The invention can quickly judge the fault point and save the fault analysis and troubleshooting time.
Description
Technical Field
The invention belongs to the technical field of IT (Information Technology ) fault detection, and particularly relates to a fault analysis method and device.
Background
For a Manufacturing enterprise, a Manufacturing Execution System (MES) System is a System responsible for a field production Manufacturing process, and when a problem occurs in the MES System, a field production line cannot produce, which has a great influence on the enterprise.
The MES system is a huge system, from a production line station, an on-site network switch, a convergence switch, a core backbone network to an application server, a database and a server network, the chain for analyzing and troubleshooting the whole fault is very long, and when the MES system has a fault, which link has the fault cannot be quickly and accurately positioned.
Therefore, when the MES system has a fault problem, how to quickly locate the fault is particularly important.
Disclosure of Invention
In order to solve the above technical problem, an embodiment of the present invention provides a fault analysis method, which can quickly determine a fault point by configuring an MES topological graph, and save fault analysis troubleshooting time.
Therefore, the invention provides the following technical scheme for solving the problems:
the application relates to a fault analysis method, which is characterized by comprising the following steps:
configuring a topological graph among the MES system, the data center, the core backbone network and the field network;
acquiring performance indexes of nodes related to a server, a database and network equipment in a topological graph;
acquiring logs of nodes related to network equipment and an application server in a topological graph;
acquiring connectivity and packet loss rate of nodes related to a work station, a server and network equipment in a topological graph;
displaying the performance index, the log, the connectivity and the packet loss rate of the corresponding node in the topological graph;
and analyzing the performance index, the log, the connectivity and the packet loss rate, and sending alarm information in the topological graph when the performance index, the log, the connectivity and the packet loss rate are abnormal.
In some embodiments of the present application, obtaining performance indicators of nodes related to a server, a database, and a network device in a topology map specifically includes: and acquiring performance indexes of nodes related to a server, a database and network equipment in the topological graph through Zabbix.
In some embodiments of the present application, obtaining a log of nodes related to a network device and an application server in a topology map specifically includes: and collecting logs of nodes related to the network equipment and the application server in the topological graph through the Clickhouse.
In some embodiments of the present application, acquiring connectivity and packet loss rate of nodes related to a station, a server, and a network device in a topology map specifically includes:
and acquiring connectivity and packet loss rate of nodes related to the work station, the server and the network equipment in the topological graph through Smokeping.
In some embodiments of the present application, the displaying, in the topology map, the performance index, the log, the connectivity, and the packet loss rate of the corresponding node specifically includes: and displaying the performance index, the log, the connectivity and the packet loss rate of the corresponding node in the topological graph through Grafana.
In some embodiments of the present application, when a node sends an alarm message, the color of an icon corresponding to the node in the topological graph is changed, and an alarm window is popped up at the same time.
In some embodiments of the present application, the fault analysis method further comprises: and viewing a topological graph corresponding to the organization according to the registered account of the user and the organization where the user is located.
In some embodiments of the present application, the fault analysis method further comprises: and determining different levels of the corresponding users according to the registered accounts, and determining different authorities of the corresponding users for managing the topological graph according to the different levels.
In some embodiments of the present application, the rights include at least read-only rights and configuration rights.
Compared with the prior art, the fault analysis method provided by the invention has the following beneficial effects and advantages:
the link topological graph of the physical world is restored in the data world by configuring the topological graph among the MES system, the data center, the core backbone network and the field network, and performance indexes, logs, connectivity and packet loss rate are displayed on the topological graph, so that MES operation and maintenance personnel can conveniently and visually check the condition of each node; when the performance index, the log, the connectivity and the packet loss rate of the node are abnormal, an alarm is given on the topological graph, an MES operation and maintenance worker can conveniently and quickly locate the node with the fault according to the topological graph, and the time for analyzing and checking the fault is saved.
The embodiment of the invention also provides a fault analysis device, which can be used for facilitating MES operation and maintenance personnel to quickly judge and locate a fault point by configuring an MES topological graph, so that the time for fault analysis and troubleshooting is saved.
Therefore, the invention provides the following technical scheme for solving the problems:
the present application relates to a fault analysis device, characterized in that,
a configuration module for configuring a topology graph between the MES system, the data center, the core backbone network and the field network;
the first acquisition module is used for acquiring the performance indexes of the nodes related to the server, the database and the network equipment in the topological graph;
a first obtaining module, configured to obtain a log of nodes relating to a network device and an application server in a topology map;
the first acquisition module is used for acquiring connectivity and packet loss rate of nodes related to a work station, a server and network equipment in a topological graph;
the display module is used for displaying the performance index, the log, the connectivity and the packet loss rate of the corresponding node in the topological graph;
and the fault analysis and alarm module is used for analyzing the performance index, the log, the connectivity and the packet loss rate and sending alarm information in the topological graph when the performance index, the log, the connectivity and the packet loss rate are abnormal.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments of the present invention or the prior art will be briefly described below, and it is obvious that the drawings described below are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of an embodiment of a method for fault analysis in accordance with the present invention;
fig. 2 is a schematic diagram of data acquisition in an embodiment of the fault analysis method provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Example one
In order to facilitate MES operation and maintenance personnel to quickly locate a fault node, the application provides a fault analysis method which is used for displaying the information of the node on a topological graph and sending an alarm.
Referring to fig. 1, a flow chart of a fault analysis method is shown.
S1: and configuring a topological graph among the MES system, the data center, the core backbone network and the field network.
The MES system comprises a database and an application server, wherein the database is divided into a main library and a standby library, the main library monitors the load condition of the MES system, and the standby library checks the capacity size and the delay condition of the MES system.
The data center includes a server, an SAN (Storage Area Network) switch, Storage, and other devices.
The core backbone network includes devices such as backbone routers, firewalls, and core switches.
The field network comprises a field station, a convergence switch, an access switch and a field switch.
When the topology is configured in S1, the following settings are required: basic setting, node setting, connecting line setting and monitoring item setting.
Basic setup mainly refers to creating a topology map and filling in basic system information, such as organization, whether to stop line, whether to End of life (End of project), and the like.
Wherein the organization to which the topology relates refers to (e.g., first production department, second production department).
The node setup automatically synchronizes the nodes in the topology map to a failure analysis platform (see description below) by synchronizing CMDB (Configuration Management Database) information for automatic Configuration.
The link setting can support the configuration of a topological graph through mouse clicking of the link and a background web page.
The monitoring item setting can support custom monitoring items, such as CPU utilization rate and the like.
This S1 is implemented in part by a configuration module.
S2: the method comprises the steps of obtaining performance indexes of nodes related to a server, a database and network equipment in a topological graph, obtaining logs of the nodes related to the network equipment and an application server in the topological graph, and obtaining connectivity and packet loss rate of the nodes related to a work station, the server and the network equipment in the topological graph.
Referring to fig. 2, the source of the above data is described.
As shown in S1, nodes in the MES system, the data center, the core backbone network, and the field network in the topology map may relate to servers, databases, network devices, and workstations, and thus different data may be obtained for different nodes in the topology map, as described in detail below.
Referring to the bold solid line part in fig. 2, performance indexes of nodes related to a server, a database and network equipment in the topological graph, such as CPU utilization, disk remaining space and the like, are collected through Zabbix.
Referring to the part of the thin solid line in fig. 2, logs of nodes related to network devices and application servers in the topological graph are collected through Clickhouse.
The application server corresponds to the application server in the MES system, and the log corresponds to the log of the application server.
The collected log includes two parts: (1) the log of the application server in the MES system is recorded as an MES IIS log; (2) switch logs corresponding to the network devices.
Referring to the dashed long-dashed line part in fig. 2, connectivity and packet loss rate of nodes related to a station, a server and network equipment in a topological graph are collected through Smokeping.
In addition, referring to the dashed line in fig. 2, the indexes such as connectivity and packet loss rate acquired by smokeep can be acquired by Clickhouse.
It should be noted that Zabbix is a more classical open source monitoring software in the industry, and can monitor the load condition of information such as a server, a network, a storage, a database and the like; clickhouse is the fastest open-source column-type database in the industry, is mostly used for storing information such as logs and can realize functions of fast query, compression and the like of the logs; smokeping is a common monitoring tool used in the industry for network connectivity and latency situations.
In this S2, the obtaining of the performance index of the node in the topology map that relates to the server, the database, and the network device is realized by the first obtaining module.
The obtaining of the logs of the nodes relating to the network device and the application server in the topology map is implemented by a second obtaining module.
And the third acquisition module is used for acquiring the connectivity and the packet loss rate of the nodes related to the work station, the server and the network equipment in the topological graph.
In an alternative embodiment, the data in S2 may be acquired by a software program.
S3: and displaying the performance index, the log, the connectivity and the packet loss rate of the corresponding node in the topological graph.
As described in S2, the log, connectivity, and packet loss rate are stored in Clickhouse, and the performance index can be obtained by Zabbix.
Therefore, referring to the two-dot chain line in fig. 2, the performance index, the log, the connectivity and the packet loss rate as described above are shown in the topology diagram by Grafana.
It should be noted that Grafana is a classic open source data presentation tool in the industry, can support multiple data sources, and has rich diagram contents.
In the topological graph, information of a corresponding node, such as a performance index, a log, connectivity and a packet loss rate, is viewed by clicking an icon of the node.
The information of each node can be visually displayed through the topological graph, and MES operation and maintenance personnel can conveniently perform troubleshooting and information checking.
The display in S3 may be realized by the display module.
S4: and analyzing the performance index, the log, the connectivity and the packet loss rate, and sending out alarm information in the topological graph when the performance index, the log, the connectivity and the packet loss rate are abnormal.
Referring to the single-dot chain line in fig. 2, the performance index collected by Zabbix as described in S2 is analyzed, and the alarm information is captured by the capture process and may be further transmitted to the fault intermediate table for aggregation.
For example, when the performance index indicates the CPU utilization, if it is analyzed that the collected CPU utilization is greater than a limit value (e.g., 80%) for triggering a warning, a warning message is issued.
Specifically, the alarm information is captured through a capture process and transmitted to a fault intermediate table for collection and summarization.
Referring to the single-dot chain line in fig. 2, the log stored in the ClickHouse as described in S2 is analyzed, and the alarm information of the log is obtained by the analysis process and may be further transmitted to the fault intermediate table for aggregation.
For example, an alarm, such as a network loop, is made based on a log of network switches.
Referring to the single-dot chain line in fig. 2, the data (including connectivity and packet loss rate) collected by the Smokeping as described in S2 is analyzed, and the alarm information is obtained by the alarm process and may be further transmitted to the fault intermediate table for aggregation.
The alarm information summarized by the fault intermediate table can be used for carrying out alarm prompt through the fault analysis platform, so that MES operation and maintenance personnel can quickly locate fault points, and the fault troubleshooting time is saved.
And, referring to the single-dot chain line in fig. 2, the fault analysis platform can also display information of Grafana, so that MES operation and maintenance personnel can intuitively query the information of each node, find out potential fault points in advance, and thus, can effectively maintain each node.
And S3 is realized by adopting a fault analysis and alarm module.
On the fault analysis platform, the performance index, the log, the connectivity and the packet loss rate of the corresponding node can be checked, and when the node sends out the alarm information, the icon of the corresponding node changes color (for example, red), and an alarm window pops up at the same time.
In the alarm window, alarm content (for example, the CPU utilization rate reaches 90%, and the limit value for triggering the alarm is exceeded by 80%) can be specifically displayed, so as to assist the MES operation and maintenance personnel in effectively maintaining the node.
In order to realize the management of the topological graph, in the application, a user applies for a registration account, and the topological graph under a corresponding organization is checked according to the registration account of the user and the organization where the user is located.
For convenience of centralized and unified management, a registered account and an AD (Active Directory) domain are integrated.
The accessible topological graph is different according to different user grades, and the authority is not the same.
Specifically, when the user performs account registration at the interface, the background automatically identifies the user level and activates the account to take effect according to the filled account registration information.
A user accesses a login interface through a public network, after an account number and a password are input, the user is allowed to enter a fault analysis platform, a background feeds back a topological graph within the authority range of the user, and synchronizes nodes in the topological graph to the fault analysis platform, so that data and alarm information of the nodes in the related topological graph can be checked on the fault analysis platform.
Different user grades have different authorities to improve the convenience of user's use.
The rights include at least a read-only right and a configuration right.
For example, users may be classified into three levels: one level, two levels, and three levels, with the three levels having different permissions, as described below.
The user authority of the primary user has read-only authority but does not have configuration authority to all topological graphs of the system.
The user authority of the secondary user only has read-only authority to the topological graph of the organization to which the secondary user belongs, but does not have configuration authority.
The user authority of the three-level user has read-only authority and configuration authority on the topological graph of the organization to which the user authority belongs.
Therefore, the authority can be freely set according to different requirements, and is not limited herein.
Through hierarchical management, the system can be better served, and the running condition of the intelligent monitoring system is realized.
According to the fault analysis method and device, the fault of each node is subjected to alarm prompt, so that the average fault analysis time of the IT system can be reduced from 60 minutes to 1 minute, the fault analysis is greatly shortened, the fault point is quickly positioned, and the production line stopping time is favorably shortened.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of fault analysis, comprising:
configuring a topological graph among the MES system, the data center, the core backbone network and the field network;
acquiring performance indexes of nodes related to a server, a database and network equipment in a topological graph;
acquiring logs of nodes related to network equipment and an application server in a topological graph;
acquiring connectivity and packet loss rate of nodes related to a work station, a server and network equipment in a topological graph;
displaying the performance index, the log, the connectivity and the packet loss rate of the corresponding node in the topological graph;
and analyzing the performance index, the log, the connectivity and the packet loss rate, and sending alarm information in the topological graph when the performance index, the log, the connectivity and the packet loss rate are abnormal.
2. The method according to claim 1, wherein the obtaining of the performance indicators of the nodes related to the server, the database, and the network device in the topology map specifically includes:
and acquiring performance indexes of nodes related to a server, a database and network equipment in the topological graph through Zabbix.
3. The method according to claim 1, wherein obtaining logs of nodes related to network devices and application servers in the topology map specifically comprises:
and collecting logs of nodes related to the network equipment and the application server in the topological graph through the Clickhouse.
4. The method according to claim 1, wherein the obtaining connectivity and packet loss rate of nodes related to a station, a server, and a network device in the topology map specifically includes:
and acquiring connectivity and packet loss rate of nodes related to the work station, the server and the network equipment in the topological graph through Smokeping.
5. The method of claim 1, wherein the displaying performance index, log, connectivity and packet loss rate of the corresponding node in the topological graph specifically includes:
and displaying the performance index, the log, the connectivity and the packet loss rate of the corresponding node in the topological graph through Grafana.
6. The fault analysis method according to claim 1, further comprising:
and when the node sends out the alarm information, changing the color of the icon corresponding to the node in the topological graph, and simultaneously popping up an alarm window.
7. The fault analysis method according to claim 1, further comprising:
and viewing a topological graph corresponding to the organization according to the registered account of the user and the organization where the user is located.
8. The fault analysis method according to claim 7, further comprising:
determining different grades of corresponding users according to the registered account;
and determining different authorities of corresponding users for managing the topological graph according to the different grades.
9. The fault analysis method according to claim 8,
the rights include at least read-only rights and configuration rights.
10. A failure analysis device is characterized in that,
a configuration module for configuring a topology graph between the MES system, the data center, the core backbone network and the field network;
the first acquisition module is used for acquiring the performance indexes of the nodes related to the server, the database and the network equipment in the topological graph;
a first obtaining module, configured to obtain a log of nodes relating to a network device and an application server in a topology map;
the first acquisition module is used for acquiring connectivity and packet loss rate of nodes related to a work station, a server and network equipment in a topological graph;
the display module is used for displaying the performance index, the log, the connectivity and the packet loss rate of the corresponding node in the topological graph;
and the fault analysis and alarm module is used for analyzing the performance index, the log, the connectivity and the packet loss rate and sending alarm information in the topological graph when the performance index, the log, the connectivity and the packet loss rate are abnormal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211028771.2A CN115102828A (en) | 2022-08-26 | 2022-08-26 | Fault analysis method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211028771.2A CN115102828A (en) | 2022-08-26 | 2022-08-26 | Fault analysis method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115102828A true CN115102828A (en) | 2022-09-23 |
Family
ID=83300958
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211028771.2A Pending CN115102828A (en) | 2022-08-26 | 2022-08-26 | Fault analysis method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115102828A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115811464A (en) * | 2022-11-25 | 2023-03-17 | 北京智维盈讯网络科技有限公司 | Network fault intelligent analysis method based on multidimensional integrated data |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101894595A (en) * | 2010-06-24 | 2010-11-24 | 中国广东核电集团有限公司 | Fault detection method applied to nuclear power plant system |
| CN104301370A (en) * | 2014-07-11 | 2015-01-21 | 陕西东辉智能仪器有限公司 | Industrial field data internet-of-things management system |
| CN111294217A (en) * | 2018-12-06 | 2020-06-16 | 云智慧（北京）科技有限公司 | Alarm analysis method, device, system and storage medium |
| CN112149975A (en) * | 2020-09-11 | 2020-12-29 | 杭州东方通信软件技术有限公司 | APM monitoring system and method based on artificial intelligence |
| CN112187506A (en) * | 2020-08-17 | 2021-01-05 | 唐山钢铁集团有限责任公司 | Method for realizing point inspection, operation and maintenance of network equipment by utilizing informatization means |
| EP3913555A1 (en) * | 2019-01-14 | 2021-11-24 | China Electric Power Research Institute Company Limited | Power distribution network operation aided decision-making analysis system and method |
| CN113949615A (en) * | 2021-09-29 | 2022-01-18 | 广西交通设计集团有限公司 | Method for realizing dynamically-perceivable network topology of fault based on zabbix and grafana |
| CN113962405A (en) * | 2021-09-02 | 2022-01-21 | 大连重工机电设备成套有限公司 | Intelligent submerged arc furnace remote operation and maintenance system |
| CN114244676A (en) * | 2021-10-29 | 2022-03-25 | 四川天翼网络服务有限公司 | Intelligent IT integrated gateway system |
| CN114257486A (en) * | 2020-11-29 | 2022-03-29 | 赣南师范大学 | Method for implementing network performance management measurement probe facing Internet of things |
-
2022
- 2022-08-26 CN CN202211028771.2A patent/CN115102828A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101894595A (en) * | 2010-06-24 | 2010-11-24 | 中国广东核电集团有限公司 | Fault detection method applied to nuclear power plant system |
| CN104301370A (en) * | 2014-07-11 | 2015-01-21 | 陕西东辉智能仪器有限公司 | Industrial field data internet-of-things management system |
| CN111294217A (en) * | 2018-12-06 | 2020-06-16 | 云智慧（北京）科技有限公司 | Alarm analysis method, device, system and storage medium |
| EP3913555A1 (en) * | 2019-01-14 | 2021-11-24 | China Electric Power Research Institute Company Limited | Power distribution network operation aided decision-making analysis system and method |
| CN112187506A (en) * | 2020-08-17 | 2021-01-05 | 唐山钢铁集团有限责任公司 | Method for realizing point inspection, operation and maintenance of network equipment by utilizing informatization means |
| CN112149975A (en) * | 2020-09-11 | 2020-12-29 | 杭州东方通信软件技术有限公司 | APM monitoring system and method based on artificial intelligence |
| CN114257486A (en) * | 2020-11-29 | 2022-03-29 | 赣南师范大学 | Method for implementing network performance management measurement probe facing Internet of things |
| CN113962405A (en) * | 2021-09-02 | 2022-01-21 | 大连重工机电设备成套有限公司 | Intelligent submerged arc furnace remote operation and maintenance system |
| CN113949615A (en) * | 2021-09-29 | 2022-01-18 | 广西交通设计集团有限公司 | Method for realizing dynamically-perceivable network topology of fault based on zabbix and grafana |
| CN114244676A (en) * | 2021-10-29 | 2022-03-25 | 四川天翼网络服务有限公司 | Intelligent IT integrated gateway system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115811464A (en) * | 2022-11-25 | 2023-03-17 | 北京智维盈讯网络科技有限公司 | Network fault intelligent analysis method based on multidimensional integrated data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110493348B (en) | Intelligent monitoring alarm system based on Internet of things | |
| CN107302466B (en) | Big data analysis platform and method for dynamic loop monitoring system | |
| CN105282772B (en) | Wireless network datacom device monitoring system and apparatus monitoring method | |
| CN108197261A (en) | A kind of wisdom traffic operating system | |
| CN110650038B (en) | Security event log collecting and processing method and system for multiple classes of supervision objects | |
| US11012461B2 (en) | Network device vulnerability prediction | |
| CN109902072A (en) | A kind of log processing system | |
| CN106992876A (en) | Cloud platform blog management method and system | |
| US20030225876A1 (en) | Method and apparatus for graphically depicting network performance and connectivity | |
| CN107958337A (en) | A kind of information resources visualize mobile management system | |
| CN112688819A (en) | Comprehensive management system for network operation and maintenance | |
| CN103716173B (en) | A kind of method for storing monitoring system and monitoring alarm issue | |
| CN107229556A (en) | Log Analysis System based on elastic components | |
| CN101997925A (en) | Server monitoring method with early warning function and system thereof | |
| CN109150869B (en) | Switch information acquisition and analysis system and method | |
| CN112865311B (en) | Method and device for monitoring message bus of power system | |
| CN110209518A (en) | A kind of multi-data source daily record data, which is concentrated, collects storage method and device | |
| CN107635003A (en) | The management method of system journal, apparatus and system | |
| CN112749060A (en) | Power system service bus monitoring method | |
| CN115102828A (en) | Fault analysis method and device | |
| CN112141832A (en) | Visual operation platform of elevator thing networking | |
| CN112052134A (en) | Service data monitoring method and device | |
| CN111371570B (en) | Fault detection method and device for NFV network | |
| CN110633191B (en) | Method and system for monitoring service health of software system in real time | |
| CN109510730A (en) | Distributed system and its monitoring method, device, electronic equipment and storage medium |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220923 |
|
| RJ01 | Rejection of invention patent application after publication |