CN111917568B - Method for detecting mis-configuration of mobile internet network element equipment - Google Patents
Method for detecting mis-configuration of mobile internet network element equipment Download PDFInfo
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- CN111917568B CN111917568B CN202010425598.4A CN202010425598A CN111917568B CN 111917568 B CN111917568 B CN 111917568B CN 202010425598 A CN202010425598 A CN 202010425598A CN 111917568 B CN111917568 B CN 111917568B
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- 238000002372 labelling Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 6
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- H—ELECTRICITY
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- 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
- H04L41/0866—Checking the configuration
- H04L41/0869—Validating the configuration within one network element
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
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Abstract
The invention relates to a method for detecting the mis-configuration of mobile internet network element equipment, which comprises the steps of collecting a working parameter set of each network element equipment on the mobile internet in a preset time period, calculating a standard deviation corresponding to each working parameter, respectively fitting a real-time change fitting curve of each working parameter corresponding to each network element equipment, obtaining an inflection point time set and an inflection point value set corresponding to each working parameter real-time change fitting curve of each network element equipment, obtaining an optimal correction time corresponding to each working parameter of the network element equipment, correcting the working parameter value corresponding to any network element equipment at the optimal correction time to the optimal working parameter value when the condition that any network element equipment works to the optimal correction time corresponding to any working parameter is detected, continuously executing work by each network element equipment according to the working parameter after self-correction, realizing the automatic detection and the automatic correction of the mis-configuration operation of each network element equipment on the mobile internet, and improving the mis-configuration detection efficiency of the network element equipment.
Description
Technical Field
The invention relates to the field of mobile internet, in particular to a method for detecting the mis-configuration of mobile internet network element equipment.
Background
With the development of the mobile internet technology, various network element devices are applied to the mobile internet and play an important role in supporting the normal operation of the mobile internet.
In the actual operation process of the mobile internet, each network element device is difficult to avoid the situation that the whole mobile internet works completely due to the influence and even the complete stop of the work of the whole mobile internet caused by the failure of the network element device during long-term work. Therefore, it is necessary to timely prepare the various network element devices on the mobile internet for detection in order to timely troubleshoot and make modifications.
However, in the configuration detection of the network element equipment for the mobile internet, most of the methods are based on manually detecting the configuration file, so as to detect the error occurring in the configuration file of the network element equipment, and then make a correction. However, it is inevitable to use a lot of manpower and time, and it also needs professional knowledge basically determined by human testers to identify the mis-configuration information of the network element device, so that the efficiency of detecting the mis-configuration of the network element device on the mobile internet is reduced.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for detecting mis-configuration of a mobile internet network element device in view of the above prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a method for detecting the mis-configuration of the network element equipment of the mobile internet is characterized by comprising the following steps:
step 1, acquiring identification numbers of network element devices on the mobile Internet and corresponding working parameter value sets; the total number of the network element devices on the mobile internet is marked as M, and the mth network element device on the mobile internet is marked as Equipment m Network element Equipment m Identification number mark of
Network element Equipment m Is marked with
Parameter set
The total number of the operating parameter classes in the parameter set is marked N
The nth operating parameter of
Operating parameters
Is marked with
1≤m≤M，1≤n≤N；
Step 2, respectively detecting the working state whether each network element equipment on the mobile Internet is started or not in real time, and after detecting that any network element equipment is started to work, turning to step 3; otherwise, continuously detecting the working state of each network element device;
step 3, respectively detecting the working parameter value sets of the network element equipment after starting working according to a preset acquisition time within a preset time period, and respectively obtaining the working parameter sample value sets corresponding to the network element equipment;
wherein the preset time period is marked as T pre The preset time period T pre Marking the total number of the corresponding preset acquisition moments as I and a preset time period T pre The ith preset acquisition time mark in the table is t i Network element Equipment m At a preset acquisition time t i Corresponding working parameter
Is marked as
Network element Equipment m The corresponding working parameter sample value set is marked as
Step 4, calculating the standard difference value of each working parameter sample value set in the working parameter sample value set corresponding to each network element device aiming at each network element device on the mobile network; wherein, the network element Equipment m Corresponding working parameter sample value
The standard deviation of the set is marked
Step 5, aiming at each network element device on the mobile network, respectively fitting to obtain a real-time change fitting curve of each working parameter corresponding to each network element device in the preset time period according to the obtained working parameter sample value set corresponding to each network element device; wherein, the network element Equipment m Corresponding working parameter
At a preset time period T pre Real-time change fit curve labeling
t∈[0,T pre ]；
Step 6, calculating an inflection point time of a real-time change fitting curve corresponding to each working parameter of the network element equipment and an inflection point value corresponding to the inflection point time aiming at each working parameter of the network element equipment to obtain an inflection point time set and a corresponding inflection point value set of the working parameter corresponding to the network element equipment; wherein, the network element Equipment m Corresponding working parameter
Corresponding real-time variation fitting curve
The inflection point time of (2) has K, real-time change fitting curve
Is marked as the K-th inflection point time
1≤k≤K；
Step 7, respectively searching a minimum inflection point value in the inflection point value set and an inflection point time corresponding to the minimum inflection point value for each working parameter of each network element device, and marking the searched inflection point time as the optimal correction time of the working parameter;
step 8, when detecting that any network element equipment works to the optimal correction time corresponding to any working parameter of the network element equipment, correcting the working parameter value corresponding to any network element equipment at the optimal correction time to the optimal working parameter value; wherein, the network element Equipment m Operating parameters of
Marking the optimal working parameter value corresponding to the optimal correction time
t opt For network element Equipment m Operating parameters of
The corresponding optimal correction time;
and 9, each network element device on the mobile internet continuously executes work according to the corrected working parameters.
In the method for detecting mis-configuration of mobile internet network element equipment, the working parameter set of any network element equipment at least contains the power consumption parameter of the network element equipment.
Further, the network element device obtains its own power consumption parameter according to the following steps a1 to a 4:
step a1, acquiring the designated information of components in network element equipment;
step a2, determining the current power consumption value of the component according to the specified information;
step a3, determining a first power consumption value of a component according to a current power consumption value and a basic power consumption value of the component, wherein the basic power consumption value is used for indicating the power consumption value of the component in no-load running or full-load running;
and a4, determining a second power consumption value of the network element equipment according to the first power consumption value.
Still further, in the method for detecting mis-configuration of mobile internet network element device, the network element device Equipment m Marking current power consumption value of middle component
Network element Equipment m Marking of base power consumption value of middle component
Network element Equipment m The first power consumption value of the middle component is marked as
Represents a numerical value
And a numerical value
Maximum value of (1), network element Equipment m Marking the second power consumption value of the middle component
Compared with the prior art, the invention has the advantages that: the method comprises the steps of collecting a working parameter set of each network element device in a preset time period after the network element device starts to work on the mobile internet, calculating a standard deviation corresponding to each working parameter, respectively fitting to obtain a real-time change fitting curve of each working parameter corresponding to each network element device in the preset time period, obtaining an inflection point time set and an inflection point value set corresponding to each real-time change fitting curve of each working parameter of each network element device, obtaining an optimal correction time corresponding to each working parameter of the network element device, finally correcting the working parameter value corresponding to any network element device in the optimal correction time to the optimal working parameter value when the optimal correction time corresponding to any working parameter of any network element device is detected, and then continuing to execute work by the working parameter after the network element device is corrected by the network element device, so that the automatic detection and the automatic correction of the mis-configuration operation of each network element device on the mobile internet are realized, and the mis-configuration detection efficiency of the network element device is improved.
Drawings
Fig. 1 is a flow chart of a method for detecting mis-configuration of a mobile internet network element device according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying examples.
Referring to fig. 1, the present embodiment provides a method for detecting a mis-configuration of a mobile internet network element device, including the following steps:
step 1, acquiring identification numbers of network element devices on the mobile Internet and corresponding working parameter value sets; wherein, suppose that the total number of the network element devices on the mobile internet is marked as M, and the mth network element device on the mobile internet is marked as Equipment m Network element Equipment m Identification number mark of
Network element Equipment m Is marked as
Parameter set
The total number of the operating parameter types in the parameter set is marked as N
The nth operating parameter of
Work byParameter(s)
Is marked with
M is more than or equal to 1 and less than or equal to M, N is more than or equal to 1 and less than or equal to N; in this embodiment, the operating parameter set of any network element device at least includes a power consumption parameter of the network element device;
step 2, respectively detecting the working state whether each network element equipment on the mobile Internet is started or not in real time, and after detecting that any network element equipment is started to work, turning to step 3; otherwise, continuously detecting the working state of each network element device;
step 3, in a preset time period T pre Respectively detecting the working parameter value sets of each network element device after starting working according to a preset acquisition time, and respectively obtaining the working parameter sample value sets corresponding to each network element device;
wherein the preset time period T pre The total number of the corresponding preset acquisition moments is marked as I, and a preset time period T is set pre The ith preset acquisition time mark in the table is t i Network element Equipment m At a preset acquisition time t i Corresponding working parameter
Is marked as
Network element Equipment m The corresponding working parameter sample value set is marked as
Is about network element Equipment m First operating parameter of
Set of sample values, set of sample values
Containing sample values
To
The I sample values; in the same way, the method for preparing the composite material,
is about network element Equipment m Of the Nth operating parameter
Set of sample values, set of sample values
Containing sample values
To
The I sample values;
step 4, aiming at each network element device on the mobile network, calculating a standard difference value of each working parameter sample value set in the working parameter sample value set corresponding to each network element device; wherein, the network element Equipment m Corresponding working parameter sample value
The standard deviation of the set is marked
Step 5, aiming at each network element device on the mobile network, respectively fitting to obtain a real-time change fitting curve of each working parameter corresponding to each network element device in the preset time period according to the obtained working parameter sample value set corresponding to each network element device; wherein, the network element Equipment m Corresponding working parameter
At a preset time period T pre Real-time change fit curve labeling
t∈[0,T pre ]；
Step 6, calculating an inflection point time of a real-time change fitting curve corresponding to each working parameter of the network element equipment and an inflection point value corresponding to the inflection point time aiming at each working parameter of the network element equipment to obtain an inflection point time set and a corresponding inflection point value set of the working parameter corresponding to the network element equipment; wherein, the network element Equipment m Corresponding working parameter
Corresponding real-time variation fitting curve
Has K inflection points at the moment, and changes the fitting curve in real time
Is marked as the K-th inflection point time
1≤k≤K；
It should be noted that, by calculating the inflection point value of the working parameter real-time change fitting curve of the network element device at the time corresponding to the inflection point, whether the working parameter has a front-back sudden change along with the time change can be obtained by using the obtained inflection point value, so that the inflection point time when the working parameter has the front-back change can be conveniently used as the time when the working parameter is abnormal, and the working parameter of the network element device can be adjusted and corrected later;
step 7, respectively searching a minimum inflection point value in the inflection point value set and an inflection point time corresponding to the minimum inflection point value of each working parameter of each network element device, and marking the searched inflection point time as the optimal correction time of the working parameter;
step 8, when detecting that any network element equipment works to the optimal correction time corresponding to any working parameter of the network element equipment, correcting the working parameter value corresponding to any network element equipment at the optimal correction time to the optimal working parameter value; wherein, the network element Equipment m Operating parameters of
Marking the optimal working parameter value corresponding to the optimal correction time
t opt For network element Equipment m Operating parameters of
The corresponding optimal correction time;
and 9, each network element device on the mobile internet continuously executes work according to the corrected working parameters. In addition, specifically in this embodiment, as a specific implementation method for the network element device to obtain its own working parameters, the network element device herein obtains its own power consumption parameters according to the following steps a1 to a 4:
step a1, acquiring the designated information of components in network element equipment;
step a2, determining the current power consumption value of the component according to the specified information; wherein, the network element Equipment m Marking current power consumption value of middle component
Step a3, determining a first power consumption value of the component according to the current power consumption value and a basic power consumption value of the component, wherein the basic power consumption value is used for indicating the power consumption value of the component in no-load operation or full-load operation; network element Equipment m Marking of base power consumption value of middle component
Network element Equipment m The first power consumption value of the middle component is marked as
Representing a numerical value
And a numerical value
Maximum value of (2);
and a4, determining a second power consumption value of the network element equipment according to the first power consumption value. Therein, here, network element Equipment m Marking the second power consumption value of the middle component as
Although preferred embodiments of the present invention have been described in detail hereinabove, it should be clearly understood that modifications and variations of the present invention are possible to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A method for detecting the mis-configuration of the network element equipment of the mobile internet is characterized by comprising the following steps:
step 1, obtaining each network element equipment on the mobile internetAnd the corresponding set of operating parameter values; the total number of the network element devices on the mobile internet is marked as M, and the mth network element device on the mobile internet is marked as Equipment m Network element Equipment m Identification number mark of
Network element Equipment m Is marked as
Parameter set
The total number of the operating parameter classes in the parameter set is marked N
The nth operating parameter of
Operating parameters
Is marked with
Step 2, respectively detecting the working state of whether each network element device on the mobile Internet is started or not in real time, and after detecting that any network element device is started, turning to step 3; otherwise, continuously detecting the working state of each network element device;
step 3, respectively detecting the working parameter value sets of the network element equipment after the start of work according to preset acquisition time within a preset time period, and respectively obtaining the working parameter sample value sets corresponding to the network element equipment;
wherein the preset time period is marked as T pre The preset time periodT pre Marking the total number of the corresponding preset acquisition moments as I and a preset time period T pre The ith preset acquisition time mark in the table is t i Network element Equipment m At a preset acquisition time t i Corresponding working parameter
Is marked with
Network element Equipment m The corresponding working parameter sample value set is marked as
Step 4, calculating the standard difference value of each working parameter sample value set in the working parameter sample value set corresponding to each network element device aiming at each network element device on the mobile internet; wherein, the network element Equipment m Corresponding working parameter sample value
The standard deviation of the set is marked
Step 5, aiming at each network element device on the mobile internet, respectively fitting to obtain a real-time change fitting curve of each working parameter corresponding to each network element device in the preset time period according to the obtained working parameter sample value set corresponding to each network element device; wherein, the netEquipment Unit m Corresponding working parameter
At a preset time period T pre Real-time change fit curve labeling
Step 6, calculating an inflection point time of a real-time change fitting curve corresponding to each working parameter of the network element equipment and an inflection point value corresponding to the inflection point time aiming at each working parameter of the network element equipment to obtain an inflection point time set and a corresponding inflection point value set of the working parameter corresponding to the network element equipment; wherein, the network element Equipment m Corresponding working parameter
Corresponding real-time variation fitting curve
Has K inflection points at the moment, and changes the fitting curve in real time
Is marked as the K-th inflection point time
Step 7, respectively searching a minimum inflection point value in the inflection point value set and an inflection point time corresponding to the minimum inflection point value of each working parameter of each network element device, and marking the searched inflection point time as the optimal correction time of the working parameter;
step 8, when detecting that any network element equipment works to the optimal correction time corresponding to any working parameter of the network element equipment, correcting the working parameter value corresponding to any network element equipment at the optimal correction time to the optimal working parameter value; wherein the network element is arrangedPrepare Equipment m Operating parameters of
Marking the corresponding optimal working parameter value at the optimal correction time as
t opt For network element Equipment m Operating parameters of
The corresponding optimal correction time;
and 9, each network element device on the mobile internet continuously executes work according to the corrected working parameters.
2. The method according to claim 1, wherein the operating parameter set of any network element device at least includes a power consumption parameter of the network element device.
3. The method for detecting the mis-configuration of the mobile internet network element equipment according to claim 2, wherein the network element equipment obtains its own power consumption parameter according to the following steps a1 to a 4:
step a1, acquiring the designated information of components in network element equipment;
step a2, determining the current power consumption value of the component according to the specified information;
step a3, determining a first power consumption value of a component according to a current power consumption value and a basic power consumption value of the component, wherein the basic power consumption value is used for indicating the power consumption value of the component in no-load running or full-load running;
and a4, determining a second power consumption value of the network element equipment according to the first power consumption value.
4. The method of claim 3, wherein the network element Equipment configures the mobile internet network element Equipment to detect the mis-configuration m Marking current power consumption value of middle component
Network element Equipment m Marking of base power consumption value of middle component
Network element Equipment m The first power consumption value of the middle component is marked as
Representing a numerical value
And a numerical value
Maximum value in (1), network element Equipment m Marking the second power consumption value of the middle component as
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103893882A (en) * | 2012-12-28 | 2014-07-02 | 北京谊安医疗系统股份有限公司 | Method and device for correcting anaesthesia-machine flow |
| CN106971032A (en) * | 2017-03-16 | 2017-07-21 | 天津大学 | Wind speed forecasting method based on nonparametric probability and numerical weather forecast |
| WO2019098576A1 (en) * | 2017-11-16 | 2019-05-23 | 주식회사 엘지화학 | Battery reserve capacity estimation device |
| CN109870655A (en) * | 2019-03-26 | 2019-06-11 | 上海工程技术大学 | A kind of evaluation method for lithium battery SOC |
-
2020
- 2020-05-19 CN CN202010425598.4A patent/CN111917568B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103893882A (en) * | 2012-12-28 | 2014-07-02 | 北京谊安医疗系统股份有限公司 | Method and device for correcting anaesthesia-machine flow |
| CN106971032A (en) * | 2017-03-16 | 2017-07-21 | 天津大学 | Wind speed forecasting method based on nonparametric probability and numerical weather forecast |
| WO2019098576A1 (en) * | 2017-11-16 | 2019-05-23 | 주식회사 엘지화학 | Battery reserve capacity estimation device |
| CN109870655A (en) * | 2019-03-26 | 2019-06-11 | 上海工程技术大学 | A kind of evaluation method for lithium battery SOC |
Non-Patent Citations (1)
| Title |
|---|
| Atmospheric correction of a seasonal time series of Hyperion EO-1 images and red edge inflection point calculation;Veli-Heikki Vesanto;《IEEE》;20140811;全文 * |
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