CN110995525A - Router detection method based on maintenance matrix - Google Patents
Router detection method based on maintenance matrix Download PDFInfo
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- CN110995525A CN110995525A CN201911049748.XA CN201911049748A CN110995525A CN 110995525 A CN110995525 A CN 110995525A CN 201911049748 A CN201911049748 A CN 201911049748A CN 110995525 A CN110995525 A CN 110995525A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/60—Router architectures
Abstract
A router detection method based on a maintenance matrix is characterized in that a router index data acquisition module, an index threshold setting and weight configuration module, a state scoring calculation module and a router detection maintenance matrix result presentation module which are sequentially connected are arranged, a plurality of routing inspection indexes which are defined as the daily maintenance range of a router are set with index thresholds and index weights, the routing inspection results are collectively presented in the form of a matrix, and maintenance personnel can be supported to perform more accurate and more standard maintenance according to the specific state of the router.
Description
Technical Field
The invention relates to a router detection and maintenance technology in communication operation, in particular to a router detection method based on a maintenance matrix, which sets an index threshold value and an index weight for a plurality of routing inspection indexes which are defined as the daily maintenance range of a router by arranging a router index data acquisition module, an index threshold value setting and weight configuration module, a state scoring calculation module and a router detection and maintenance matrix result presentation module which are connected in sequence, and collectively presents the routing inspection results in a matrix form, thereby being beneficial to supporting maintenance personnel to carry out more accurate and more standardized maintenance according to the specific state of the router.
Background
The routers purchased by the operators relate to different manufacturers, different types and different models. For example, manufacturers of routers are Huari, Zhongxing, Cisco, Alang, etc., each of which often produces multiple varieties and models of routers. The detection and maintenance workload of the router is very large, and most of the routers are based on human experience under the current situation, and an effective standardization mode is lacked. Due to the lack of a standardized router maintenance mode, great differences often exist between different maintenance personnel and between different operators. This also makes the actual maintenance effect dependent on the expertise of the maintenance person and therefore requires a high skill for the maintenance person. The inventor believes that if a plurality of routing inspection indexes defined as the daily maintenance range of the router are set with index thresholds and index weights and the routing inspection results are intensively presented in a matrix form by arranging a router index data acquisition module, an index threshold setting and weight configuration module, a state scoring calculation module and a router detection and maintenance matrix result presentation module which are sequentially connected, maintenance personnel can be supported to carry out more accurate and more standardized maintenance according to the specific state of the router. In view of the above, the present inventors have completed the present invention.
Disclosure of Invention
Aiming at the defects or shortcomings in the prior art, the invention provides a router detection method based on a maintenance matrix, which is characterized in that a router index data acquisition module, an index threshold setting and weight configuration module, a state scoring calculation module and a router detection maintenance matrix result presentation module which are sequentially connected are arranged, so that index thresholds and index weights are set for a plurality of routing inspection indexes which are defined as the daily maintenance range of the router, and the routing inspection results are collectively presented in the form of a matrix, thereby being beneficial to supporting maintenance personnel to carry out more accurate and more standardized maintenance according to the specific state of the router.
The technical scheme of the invention is as follows:
a router detection method based on a maintenance matrix is characterized in that a router index data acquisition module, an index threshold value setting and weight configuration module, a state scoring calculation module and a router detection maintenance matrix result presentation module which are sequentially connected are arranged, a plurality of routing inspection indexes which are defined as the daily maintenance range of a router are set with index threshold values and index weights, and routing inspection results are collectively presented in a matrix form, so that maintenance personnel can carry out more accurate and more standardized maintenance according to the specific state of the router.
The router detection maintenance matrix result comprises an equipment name item and an equipment health degree item, wherein the equipment name item is a first router to an Nth router which are sequentially listed, N is an integer greater than 1, the equipment health degree item is a score for carrying out state scoring on a corresponding transverse router, and the score comes from the following detection results of 10 routing inspection indexes: log status; memory utilization CPU utilization; a system clock; (ii) temperature; an equipment alarm state; a software version; a power state; a fan status; device naming specifications.
The 10 routing inspection indexes are arranged in the row where the equipment name item and the equipment health degree item are located according to the sequence.
Each of the 10 routing inspection indexes has a weight setting and a threshold value or threshold value range setting.
The router index data acquisition module logs in a router in a telnet or ssh mode to acquire routing inspection indexes, wherein the routing inspection indexes comprise the following 10 items: log status; memory utilization CPU utilization; a system clock; (ii) temperature; an equipment alarm state; a software version; a power state; a fan status; device naming specifications.
The patrol index collection is carried out in a time interval from 1 point in the morning to 2 points in the morning every day.
The log state sets a threshold according to the number of logs, the memory utilization rate sets a threshold according to the memory utilization rate, the CPU utilization rate sets a threshold according to the CPU utilization rate, the system clock sets a threshold according to whether the system clock is synchronous or not, the temperature sets a threshold according to whether the temperature state information is normal or not, the equipment alarm state sets a threshold according to whether equipment alarms or not, the software version sets a threshold according to whether the software version meets the standard or not, the power state sets a threshold according to whether the power state is normal or not, the fan state sets a threshold according to whether the fan state is normal or not, and the equipment naming standard sets a threshold according to whether the naming standard meets the standard or not.
The state scoring calculation module comprises a high-level fault deduction system, a medium-level fault deduction system and a fault duration time deduction system.
The invention has the following technical effects: the router detection method based on the maintenance matrix can be beneficial to establishing a standardized router maintenance flow, picking up router state indexes, carrying out hierarchical definition, grading and automatically presenting the router state indexes through setting different router states by threshold values, so as to help maintenance personnel to effectively and intuitively know and maintain the states of routers. The invention defines the daily maintenance range of the router by standardizing 10 different acquisition commands, wherein 10 commands are in a log state; the utilization rate of the memory; CPU utilization; a system clock; (ii) temperature; an equipment alarm state; a software version; a power state; a fan status; device naming specifications. The invention defines the index threshold value and the weight of the command index in a maintenance matrix mode, uniformly scores the state of the router, judges the running state of the router according to the score, carries out configuration check and routing inspection related indexes, and intensively presents the configuration check and routing inspection results in a matrix form.
Drawings
Fig. 1 is a schematic diagram of a module configuration for implementing a router detection method based on a maintenance matrix according to the present invention. Fig. 1 includes a router index data acquisition module, an index threshold setting and weight configuring module, a state score calculating module, and a router detection maintenance matrix result presenting module.
Fig. 2 is a table of indexes to be collected by the router index data collection module in fig. 1 and a weight setting matrix thereof. Fig. 2 includes 10 indexes (i.e., 10 acquisition commands) under the index name term, and the weight setting term is set to 0.1 (i.e., each of 10%), and the daily maintenance range of the router is defined by specifying 10 different acquisition commands, where the 10 commands are: 1-log status; 2-memory utilization rate; 3-CPU utilization rate; 4-a system clock; 5-temperature; 6-device alarm state; 7-software version; 8-power state; 9-fan state; 10-device naming convention.
Fig. 3 is a result presentation example of a maintenance matrix presented by the router inspection maintenance matrix result presentation module in fig. 1. In fig. 3, the device name item includes 3 routers, which are router 1, router 2, and router 3, respectively, and in the device health degree item, router 1 scores 100 points (full points), router 2 scores 90 points (because the temperature item is deducted by 10 points, that is, the temperature item is deducted by 10 points, and all the temperature item are set to 0.1 according to the weight setting item in fig. 2, total points 100 points, and each index in fig. 3 is 10 points), and router 3 scores 80 points (because the CPU utilization item is deducted by 10 points, and the fan status item is deducted by 10 points). The 10 scenes are 10 points each, which is only a simple example, and the actual weight in the work is set in support, that is, can be set to be different. The threshold is also set in support, and can be set as a single threshold which meets or does not meet the standard, or can be set as a plurality of threshold ranges in a segmented manner, for example, the CPU occupancy rate is 0-30% to 10 points (namely full points), > 30% -50% to 6 points, > 50% -70% to 4 points, and > 80% -100% to 0 points.
Detailed Description
The invention is described below with reference to the accompanying drawings (fig. 1-3).
Fig. 1 is a schematic diagram of a module configuration for implementing a router detection method based on a maintenance matrix according to the present invention. Fig. 2 is a table of indexes to be collected by the router index data collection module in fig. 1 and a weight setting matrix thereof. Fig. 3 is a result presentation example of a maintenance matrix presented by the router inspection maintenance matrix result presentation module in fig. 1. Referring to fig. 1 to 3, a router detection method based on a maintenance matrix sets an index threshold and an index weight for a plurality of routing inspection indexes defined as a daily maintenance range of a router by setting a router index data acquisition module, an index threshold setting and weight configuration module, a state scoring calculation module, and a router detection maintenance matrix result presentation module which are connected in sequence, and presents the routing inspection results in a matrix form in a centralized manner to support maintenance personnel to perform more accurate and more standardized maintenance according to the specific state of the router. The router detection maintenance matrix result comprises an equipment name item and an equipment health degree item, wherein the equipment name item is a first router to an Nth router which are sequentially listed, N is an integer greater than 1, the equipment health degree item is a score for carrying out state scoring on a corresponding transverse router, and the score comes from the following detection results of 10 routing inspection indexes: log status; memory utilization CPU utilization; a system clock; (ii) temperature; an equipment alarm state; a software version; a power state; a fan status; device naming specifications. The 10 routing inspection indexes are arranged in the row where the equipment name item and the equipment health degree item are located according to the sequence. Each of the 10 routing inspection indexes has a weight setting and a threshold value or threshold value range setting.
The router index data acquisition module logs in a router to perform routing inspection index acquisition in a Telnet (a Telnet protocol is a member of a TCP/IP protocol family and is a standard protocol and a main mode of Internet remote login service) or a ssh (SSH (secure Shell) protocol is a member of a TCP/IP protocol cluster and is a standard protocol and a main mode of Internet remote login service), and the routing inspection index comprises the following 10 items: log status; memory utilization CPU utilization; a system clock; (ii) temperature; an equipment alarm state; a software version; a power state; a fan status; device naming specifications. The patrol index collection is carried out in a time interval from 1 point in the morning to 2 points in the morning every day. The log state sets a threshold according to the number of logs, the memory utilization rate sets a threshold according to the memory utilization rate, the CPU utilization rate sets a threshold according to the CPU utilization rate, the system clock sets a threshold according to whether the system clock is synchronous or not, the temperature sets a threshold according to whether the temperature state information is normal or not, the equipment alarm state sets a threshold according to whether equipment alarms or not, the software version sets a threshold according to whether the software version meets the standard or not, the power state sets a threshold according to whether the power state is normal or not, the fan state sets a threshold according to whether the fan state is normal or not, and the equipment naming standard sets a threshold according to whether the naming standard meets the standard or not. The state scoring calculation module comprises a high-level fault deduction system, a medium-level fault deduction system and a fault duration time deduction system.
A router detection and maintenance mode based on a maintenance matrix is characterized by comprising an acquisition module, a configuration module, a calculation module and a presentation module, wherein the acquisition module is used for acquiring check index information of a router; the configuration module is used for setting an index threshold and an index weight aiming at different indexes; the calculation module is used for objectively and quantitatively calculating and presenting the health degree of the router according to the threshold and the weight; the presentation module is used for presenting the index health condition and the overall health degree of the router in a maintenance matrix mode. The router comprises routers manufactured by Huashi, Zhongxing, Cisco and Alang factories. And the acquisition module logs in the router to acquire the index by adopting a telnet or ssh mode. The configuration module sets threshold information for each index and sets weight information for all indexes in a unified way. The threshold setting is based on index values to perform linear segmentation acquisition. The information acquisition module acquires data every morning at a time interval of 1 to 2 points.
The embodiment of the invention provides a router detection and maintenance mode based on a maintenance matrix, which comprises the following steps: the device comprises an acquisition module, a configuration module, a calculation module and a presentation module.
The acquisition module is used for acquiring log state information of the router through a TELNT (Telnet protocol is a member of a TCP/IP protocol family and is a standard protocol and a main mode of Internet remote login service) or an SSH (secure Shell) protocol is a member of a TCP/IP protocol cluster and is a standard protocol and a main mode of Internet remote login service) login device, and a threshold value is set according to the number of logs. And acquiring the memory utilization rate information of the router, and setting a threshold according to the memory utilization rate. And collecting CPU utilization rate information of the router, and setting a threshold according to the CPU utilization rate. And collecting system clock information of the router, and setting a threshold value according to whether the system clock is synchronous or not. And collecting temperature state information of the route, and setting a threshold value according to whether the temperature state information is normal or not. And acquiring equipment alarm state information of the router, and setting a threshold value according to the existence of equipment alarm. And acquiring software version information of the router, and setting a threshold value according to whether the software version meets the standard. And acquiring power state information of the router, and setting a threshold value according to whether the power state is normal or not. And acquiring fan state information of the router, and setting a threshold value according to whether the fan state is normal or not. And collecting the device naming specification information of the router, and setting a threshold value according to whether the naming specification meets the standard or not.
The configuration module formulates a threshold value and a weight according to the log state information, the memory utilization rate information, the CPU utilization rate information, the system clock information, the temperature information, the equipment alarm state information, the software version information, the power supply state information, the fan state information and the equipment naming standard information of the router. The configuration is carried out according to the classification of the equipment types, and the different weights of the same inspection pointer of different equipment types are mainly considered. The deduction value can be configured according to the index weight, and comprehensive deduction is performed by configuring a high-level fault deduction coefficient, a medium-level fault deduction coefficient and a fault duration time deduction coefficient, so that the comprehensive deduction of each index is realized through the configuration, and the subdivision requirements are as follows: configuring corresponding deduction weight and coefficient according to the indexes, wherein each index lists the index type and the checking item name of the corresponding type, and deduction configuration can be respectively set for each checking item name; automatically adding new data to load the configuration interface for display aiming at the subsequent new index types or check items;
the calculation module calculates the scoring state of the router according to the threshold and the weight, and deducts 1 point of a middle-level fault and 2 points of a high-level fault aiming at a specified device according to the number accumulation of the middle-level fault and the high-level fault. "index weight deduction", defaults to equal to 1; "advanced fault deduction system", default equals 1; "medium level fault deduction system", defaults to equal to 1; "system (10) is deducted by the number of failures duration", and is equal to 1 by default; and the score of the comprehensive deduction is the index weight deduction and the deduction coefficient.
The presentation module presents the state of each maintenance index of the router and the health value of the router in a maintenance matrix mode according to the index state and the grading state of the router, and objectively presents the detection and maintenance result of the router.
It is pointed out here that the above description is helpful for the person skilled in the art to understand the invention, but does not limit the scope of protection of the invention. Any such equivalents, modifications and/or omissions as may be made without departing from the spirit and scope of the invention may be resorted to.
Claims (8)
1. A router detection method based on a maintenance matrix is characterized in that a router index data acquisition module, an index threshold value setting and weight configuration module, a state scoring calculation module and a router detection maintenance matrix result presentation module which are sequentially connected are arranged, a plurality of routing inspection indexes which are defined as the daily maintenance range of a router are set with index threshold values and index weights, and routing inspection results are collectively presented in a matrix form, so that maintenance personnel can carry out more accurate and more standardized maintenance according to the specific state of the router.
2. The router detection method based on the maintenance matrix according to claim 1, wherein the router detection and maintenance matrix result includes an equipment name item and an equipment health degree item, the equipment name item is a first router to an nth router which are listed in sequence, N is an integer greater than 1, the equipment health degree item is a score for scoring the state of the corresponding horizontal router, and the score is from detection results of the following 10 routing inspection indexes: log status; memory utilization CPU utilization; a system clock; (ii) temperature; an equipment alarm state; a software version; a power state; a fan status; device naming specifications.
3. The maintenance matrix-based router detection method according to claim 2, wherein the 10 routing inspection indexes are arranged in the row where the device name item and the device health degree item are located in sequence.
4. The maintenance matrix-based router detection method of claim 1, wherein each of the 10 patrol checking indicators has a weight setting, and a threshold or threshold range setting.
5. The maintenance matrix-based router detection method according to claim 1, wherein the router index data collection module logs in a router in telnet or ssh mode to collect routing inspection indexes, and the routing inspection indexes include the following 10 items: log status; memory utilization CPU utilization; a system clock; (ii) temperature; an equipment alarm state; a software version; a power state; a fan status; device naming specifications.
6. The maintenance matrix-based router detection method of claim 5, wherein the patrol inspection index collection is performed at a time interval between 1 point in the morning and 2 points in the morning every day.
7. The router detection method based on the maintenance matrix according to claim 5, wherein the log state sets a threshold according to the number of logs, the memory utilization sets a threshold according to the memory utilization, the CPU utilization sets a threshold according to the CPU utilization, the system clock sets a threshold according to whether the system clock is synchronous or not, the temperature sets a threshold according to whether the temperature state information is normal or not, the equipment alarm state sets a threshold according to whether the equipment alarm is present or not, the software version sets a threshold according to whether the software version is in accordance with the standard or not, the power state sets a threshold according to whether the power state is normal or not, the fan state sets a threshold according to whether the fan state is normal or not, and the equipment naming specification sets a threshold according to whether the naming specification is in accordance with the standard or not.
8. The maintenance matrix-based router detection method of claim 1, wherein the state score computation module comprises a high-level failure deduction system, a medium-level failure deduction system and a failure duration deduction system.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111722977A (en) * | 2020-05-29 | 2020-09-29 | 北京宝兰德软件股份有限公司 | System inspection method and device and electronic equipment |
| CN114979106A (en) * | 2022-04-19 | 2022-08-30 | 惠州高盛达科技有限公司 | Router detection method based on maintenance matrix |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0843268A2 (en) * | 1996-11-15 | 1998-05-20 | Canon Information Systems, Inc. | Method and apparatus for communicating with a network peripheral |
| CN101483547A (en) * | 2009-02-12 | 2009-07-15 | 中国人民解放军信息工程大学 | Evaluation method and system for network burst affair |
| CN103259682A (en) * | 2013-05-16 | 2013-08-21 | 浪潮通信信息系统有限公司 | Communication network element security evaluation method based on multidimensional data aggregation |
| US20130275407A1 (en) * | 2004-11-22 | 2013-10-17 | At&T Intellectual Property Ii, L.P. | Adaptive processing of top-k queries in nested-structure arbitrary markup language such as xml |
| CN103581186A (en) * | 2013-11-05 | 2014-02-12 | 中国科学院计算技术研究所 | Network security situation awareness method and system |
| CN104079482A (en) * | 2013-03-26 | 2014-10-01 | 华为技术有限公司 | Method and device of selecting routing path |
| CN104207756A (en) * | 2013-06-03 | 2014-12-17 | 飞比特公司 | Wearable heart rate monitor |
| US20150023207A1 (en) * | 2013-07-19 | 2015-01-22 | The Pla Information Engineering University | Method and device for establishing structure of a communication network system |
| US20150200956A1 (en) * | 2014-01-14 | 2015-07-16 | Pfu Limited | Information processing apparatus, method for determining unauthorized activity and computer-readable medium |
| CN105490833A (en) * | 2015-11-19 | 2016-04-13 | 国家电网公司 | Inspection system and method of information system |
| CN105553998A (en) * | 2015-12-23 | 2016-05-04 | 中国电子科技集团公司第三十研究所 | Network attack abnormality detection method |
| CN105852841A (en) * | 2013-06-03 | 2016-08-17 | 飞比特公司 | Heart rate data collection |
| CN107592646A (en) * | 2016-07-06 | 2018-01-16 | 大唐移动通信设备有限公司 | A kind of detection method and device of cell voice quality |
| CN108768710A (en) * | 2018-05-18 | 2018-11-06 | 国家电网公司信息通信分公司 | A kind of changeable weight appraisal procedure, model and the device of optical transport network health |
| US20190102711A1 (en) * | 2017-09-29 | 2019-04-04 | Siemens Industry, Inc. | Approach for generating building systems improvement plans |
| KR101941418B1 (en) * | 2018-08-10 | 2019-04-12 | 김희선 | Crowding testing platform |
-
2019
- 2019-10-31 CN CN201911049748.XA patent/CN110995525A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0843268A2 (en) * | 1996-11-15 | 1998-05-20 | Canon Information Systems, Inc. | Method and apparatus for communicating with a network peripheral |
| US20130275407A1 (en) * | 2004-11-22 | 2013-10-17 | At&T Intellectual Property Ii, L.P. | Adaptive processing of top-k queries in nested-structure arbitrary markup language such as xml |
| CN101483547A (en) * | 2009-02-12 | 2009-07-15 | 中国人民解放军信息工程大学 | Evaluation method and system for network burst affair |
| CN104079482A (en) * | 2013-03-26 | 2014-10-01 | 华为技术有限公司 | Method and device of selecting routing path |
| CN103259682A (en) * | 2013-05-16 | 2013-08-21 | 浪潮通信信息系统有限公司 | Communication network element security evaluation method based on multidimensional data aggregation |
| CN105852841A (en) * | 2013-06-03 | 2016-08-17 | 飞比特公司 | Heart rate data collection |
| CN104207756A (en) * | 2013-06-03 | 2014-12-17 | 飞比特公司 | Wearable heart rate monitor |
| US20150023207A1 (en) * | 2013-07-19 | 2015-01-22 | The Pla Information Engineering University | Method and device for establishing structure of a communication network system |
| CN103581186A (en) * | 2013-11-05 | 2014-02-12 | 中国科学院计算技术研究所 | Network security situation awareness method and system |
| US20150200956A1 (en) * | 2014-01-14 | 2015-07-16 | Pfu Limited | Information processing apparatus, method for determining unauthorized activity and computer-readable medium |
| US20160323305A1 (en) * | 2014-01-14 | 2016-11-03 | Pfu Limited | Information processing apparatus, method for determining activity and computer-readable medium |
| CN105490833A (en) * | 2015-11-19 | 2016-04-13 | 国家电网公司 | Inspection system and method of information system |
| CN105553998A (en) * | 2015-12-23 | 2016-05-04 | 中国电子科技集团公司第三十研究所 | Network attack abnormality detection method |
| CN107592646A (en) * | 2016-07-06 | 2018-01-16 | 大唐移动通信设备有限公司 | A kind of detection method and device of cell voice quality |
| US20190102711A1 (en) * | 2017-09-29 | 2019-04-04 | Siemens Industry, Inc. | Approach for generating building systems improvement plans |
| CN108768710A (en) * | 2018-05-18 | 2018-11-06 | 国家电网公司信息通信分公司 | A kind of changeable weight appraisal procedure, model and the device of optical transport network health |
| KR101941418B1 (en) * | 2018-08-10 | 2019-04-12 | 김희선 | Crowding testing platform |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111722977A (en) * | 2020-05-29 | 2020-09-29 | 北京宝兰德软件股份有限公司 | System inspection method and device and electronic equipment |
| CN114979106A (en) * | 2022-04-19 | 2022-08-30 | 惠州高盛达科技有限公司 | Router detection method based on maintenance matrix |
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