CN107483269A - A kind of efficient network apparatus management system - Google Patents
A kind of efficient network apparatus management system Download PDFInfo
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- CN107483269A CN107483269A CN201710855429.2A CN201710855429A CN107483269A CN 107483269 A CN107483269 A CN 107483269A CN 201710855429 A CN201710855429 A CN 201710855429A CN 107483269 A CN107483269 A CN 107483269A
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- 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
- H04L41/04—Network management architectures or arrangements
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- 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
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72409—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
- H04M1/72415—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories for remote control of appliances
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a kind of efficient network apparatus management system, for being managed to the network equipment, including smart mobile phone and network device management platform, the smart mobile phone is connected by wireless network with network device management platform, the network device management platform is connected by wireless network with the network equipment, the smart mobile phone is used to pass through network device management platform download management interactive software, and network device state information of forecasting and network equipment information are obtained from network device management platform by the interactive software, and send administration order to network device management platform, the network equipment is used to network equipment information being sent to network device management platform, and receive the administration order of network device management platform transmission and perform corresponding operating.Beneficial effects of the present invention are：Facilitate user to be managed the network equipment, realize the efficient management of the network equipment.
Description
Technical field
The present invention relates to technical field of network equipment management, and in particular to a kind of efficient network apparatus management system.
Background technology
Equipment manufacture industry is the pillar industry of Chinese national economy, and complex device is the important carrier of high-end manufacture.It is economical
Globalization, information technology revolution and the development of modern management thoughts, having made world's manufacturing industry, there occurs great change, equipment system
Industry is made to globalization, serviceization direction to develop.Equipment user is caused to be distributed in each corner in the whole world under Background of Globalization, to equipment
Operation maintenance bring greatly difficult and challenge.Under serviceization background, device fabrication is interpenetrated with merging with service, tradition
The type of production of " manufacture+sale " manufactures unidirectional industry situation and starts to turn to the compound industry situation of service-embedded manufacturing of " technology+management+service "
Type.Move towards service-embedded manufacturing from type of production manufacture has turned into the main trend of current development of manufacturing.
In existing network equipment management technology, following defect be present：On the one hand, network device management personnel generally require
The network equipment is operated to scene, the network equipment can not be operated by mobile phone；On the other hand, existing network is set
Standby management can not predict the state and variation tendency of the network equipment based on historical data, be taken before the network equipment breaks down
Corresponding measure is with Logistics networks equipment normal operation.
The content of the invention
A kind of in view of the above-mentioned problems, the present invention is intended to provide efficient network apparatus management system.
The purpose of the present invention is realized using following technical scheme：
A kind of efficient network apparatus management system is provided, for being managed to the network equipment, including smart mobile phone
With network device management platform, the smart mobile phone is connected by wireless network with network device management platform, and the network is set
Standby management platform is connected by wireless network with the network equipment, and the smart mobile phone is used to download by network device management platform
Interactive software is managed, and network device state information of forecasting and net are obtained from network device management platform by the interactive software
Network facility information, and administration order is sent to network device management platform, the network equipment is used to send out network equipment information
Network device management platform is given, and receives the administration order of network device management platform transmission and performs corresponding operating, it is described
Network device management platform is used to be predicted the state of the network equipment, receive network equipment information that the network equipment sends and
The administration order that smart mobile phone is sent, and administration order is sent to the network equipment.
Beneficial effects of the present invention are：Facilitate user to be managed the network equipment, realize the efficient pipe of the network equipment
Reason.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not form any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the structural representation of the present invention；
Reference：
Smart mobile phone 1, network device management platform 2.
Embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of efficient network apparatus management system of the present embodiment, for being managed to the network equipment,
Including smart mobile phone 1 and network device management platform 2, the smart mobile phone 1 passes through wireless network and network device management platform 2
Connection, the network device management platform 2 are connected by wireless network with the network equipment, and the smart mobile phone 1 is used to pass through net
The download management interactive software of network device management platform 2, and network is obtained from network device management platform 2 by the interactive software
Condition Prediction of Equipment information and network equipment information, and send administration order, the network equipment to network device management platform 2
For network equipment information to be sent into network device management platform 2, and receive the management life of the transmission of network device management platform 2
Order and execution corresponding operating, the network device management platform 2 are used to be predicted the state of the network equipment, receive network and set
The administration order that the network equipment information and smart mobile phone 1 that preparation is sent are sent, and administration order is sent to the network equipment.
The present embodiment facilitates user to be managed the network equipment, realizes the efficient management of the network equipment.
Preferably, the wireless network is 3G network or 4G networks.
This preferred embodiment improves communication speed, so as to improve network device management efficiency.
Preferably, the network device management platform 2 is carried out by network device state subsystem to network device state
Prediction, the network device state predicting subsystem include the first prediction module, the second prediction module, hybrid predicting module and pre-
Evaluation module is surveyed, first prediction module is used to carry out tentative prediction to the state of the network equipment, obtains tentative prediction result,
Second prediction module is used to carry out re prediction to the state of the network equipment according to tentative prediction result, obtains re prediction
As a result, the hybrid predicting module obtains the final prediction of network device state according to tentative prediction result and re prediction result
As a result, the forecast assessment module is used to evaluate status predication effect.
This preferred embodiment realizes the prediction of network device state and the assessment of prediction effect.
Preferably, the state to the network equipment carries out tentative prediction, carries out in the following ways：
Step 1, assume that time series input is A=(a1,a2,…,al), true desired output is Bt=(b1,b2,…,
bt), the first anticipation function is established based on autoregressive moving-average model time series is predicted：
In formula,Tentative prediction result is represented, n represents Autoregressive, and m represents moving average exponent number, βiRepresent certainly
Regression coefficient, γiRepresent moving average coefficient, { ctRepresent white noise sequence；
Step 2, using AIC criterion to Autoregressive and moving average Order- reduction, using least square method to from returning
Return coefficient and moving average coefficient to be estimated, tentative prediction result is solved：
In formula,Autoregressive estimate is represented,Moving average Order- reduction value is represented,Represent autoregressive coefficient
Estimate,Represent moving average coefficient estimate.
This preferred embodiment carries out tentative prediction to the state of the network equipment, on the one hand, the first prediction module not only can be with
The rule of dynamic data is disclosed, predicts its future value, but also the relevant characteristic of system, the opposing party can be studied from many aspects
Face, the first prediction module can accurately be caught to the linear segment of time series, realize the Accurate Prediction of linear segment.
Preferably, the state to the network equipment carries out re prediction, carries out in the following ways：
The anticipation function of Establishment of Neural Model second is based on the basis of tentative prediction result：
In formula,Represent re prediction result, wqAnd wpqThe connection weight of neutral net is represented, p and q represent nerve
Network input layer and the number of nodes in intermediate layer, d0And d0jRepresent bias term.
The prediction module of this preferred embodiment second can be predicted the non-linear partial of time series well, realize
The Accurate Prediction of non-linear partial.
Preferably, the final prediction knot that network device state is obtained according to tentative prediction result and re prediction result
Fruit, carry out in the following ways：
In formula,Represent final prediction result.
This preferred embodiment hybrid predicting module overcomes generalization ability difference of conventional forecast model during predicting etc. and asked
Topic, the first prediction module and the second prediction module are combined, improve precision of prediction.
Preferably, the forecast assessment module includes early warning submodule and assesses submodule, and the early warning submodule is used for
Network equipment abnormal conditions are carried out with early warning, and the assessment submodule is used to status predication effect is commented according to early warning situation
Valency；
It is described that early warning is carried out to network equipment abnormal conditions, be specially：Shape using hybrid predicting module to the network equipment
State is monitored, and prediction result is obtained by network equipment historical data, when the running status of the network equipment deviates prediction result
Reach certain value, then send the abnormal early warning of the network equipment；
The assessment submodule includes the first evaluation unit, the second evaluation unit and overall merit unit, and described first comments
Valency unit is used to determine the first evaluation points, and second evaluation unit is used to determine the second evaluation points, the overall merit
Unit is used to evaluate status predication effect according to the first evaluation points and the second evaluation points；
The first evaluation points of the determination, are carried out in the following ways：Establish the first evaluation function：
In formula, F1The first evaluation points are represented, N represents all monitoring numbers, N1Represent the number of false-alarm；
The second evaluation points of the determination, are carried out in the following ways：Establish the second evaluation function：
In formula, F1Represent the first evaluation points, N2Represent the number of false dismissal；
It is described that status predication effect is evaluated, carry out in the following ways：Establish composite evaluation function：
In formula, F represents the prediction and evaluation factor, and the prediction and evaluation factor is bigger, and prediction result is more accurate.
This preferred embodiment forecast assessment module realizes the status monitoring to the network equipment according to status predication situation, and
Evaluated using prediction and evaluation factor pair status predication effect, ensure that the accuracy and reliability of prediction effect.
The network equipment is managed using efficient network apparatus management system of the invention, chooses 5 network equipments, point
Not Wei the network equipment 1, the network equipment 2, the network equipment 3, the network equipment 4, the network equipment 5, the efficiency of management and management cost are entered
Row statistics, is compared compared with network apparatus management system, caused to have the beneficial effect that shown in table：
| The efficiency of management improves | Management cost reduces | |
| The network equipment 1 | 29% | 21% |
| The network equipment 2 | 27% | 23% |
| The network equipment 3 | 26% | 25% |
| The network equipment 4 | 25% | 27% |
| The network equipment 5 | 24% | 29% |
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (7)
1. a kind of efficient network apparatus management system, for being managed to the network equipment, it is characterised in that including intelligent hand
Machine and network device management platform, the smart mobile phone are connected by wireless network with network device management platform, the network
Device management platform is connected by wireless network with the network equipment, and the smart mobile phone is used to pass through under network device management platform
Carry management interactive software, and by the interactive software from network device management platform obtain network device state information of forecasting and
Network equipment information, and administration order is sent to network device management platform, the network equipment is used for network equipment information
Network device management platform is sent to, and receives the administration order of network device management platform transmission and performs corresponding operating, institute
State network device management platform to be used to be predicted the state of the network equipment, receive the network equipment information that the network equipment is sent
The administration order sent with smart mobile phone, and administration order is sent to the network equipment.
2. efficient network apparatus management system according to claim 1, it is characterised in that the wireless network is 3G nets
Network or 4G networks.
3. efficient network apparatus management system according to claim 2, it is characterised in that the network device management is put down
Platform is predicted by network device state subsystem to network device state, and the network device state predicting subsystem includes
First prediction module, the second prediction module, hybrid predicting module and forecast assessment module, first prediction module are used for net
The state of network equipment carries out tentative prediction, obtains tentative prediction result, and second prediction module is used for according to tentative prediction knot
Fruit carries out re prediction to the state of the network equipment, obtains re prediction result, the hybrid predicting module is according to tentative prediction
As a result the final prediction result of network device state is obtained with re prediction result, the forecast assessment module is used for pre- to state
Effect is surveyed to be evaluated.
4. efficient network apparatus management system according to claim 3, it is characterised in that the shape to the network equipment
State carries out tentative prediction, carries out in the following ways：
Step 1, assume that time series input is A=(a1,a2,…,al), true desired output is Bt=(b1,b2,…,bt), base
The first anticipation function is established in autoregressive moving-average model to be predicted time series：
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In formula,Tentative prediction result is represented, n represents Autoregressive, and m represents moving average exponent number, βiRepresent autoregression
Coefficient, γiRepresent moving average coefficient, { ctRepresent white noise sequence；
Step 2, using AIC criterion to Autoregressive and moving average Order- reduction, using least square method to autoregression system
Number and moving average coefficient are estimated, tentative prediction result is solved：
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In formula,Autoregressive estimate is represented,Moving average Order- reduction value is represented,Represent autoregressive coefficient estimation
Value,Represent moving average coefficient estimate.
5. efficient network apparatus management system according to claim 4, it is characterised in that the shape to the network equipment
State carries out re prediction, carries out in the following ways：
The anticipation function of Establishment of Neural Model second is based on the basis of tentative prediction result：
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In formula,Represent re prediction result, wqAnd wpqThe connection weight of neutral net is represented, p and q represent neutral net
Input layer and the number of nodes in intermediate layer, d0And d0jRepresent bias term.
6. efficient network apparatus management system according to claim 5, it is characterised in that described according to tentative prediction knot
Fruit and re prediction result obtain the final prediction result of network device state, carry out in the following ways：
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In formula,Represent final prediction result.
7. efficient network apparatus management system according to claim 6, it is characterised in that the forecast assessment module bag
Include early warning submodule and assess submodule, the early warning submodule is used to carry out early warning, institute's commentary to network equipment abnormal conditions
Estimate submodule to be used to evaluate status predication effect according to early warning situation；
It is described that early warning is carried out to network equipment abnormal conditions, be specially：The state of the network equipment is entered using hybrid predicting module
Row monitoring, prediction result is obtained by network equipment historical data, reached when the running status of the network equipment deviates prediction result
Certain value, then send the abnormal early warning of the network equipment；
The assessment submodule includes the first evaluation unit, the second evaluation unit and overall merit unit, and first evaluation is single
Member is used to determine the first evaluation points, and second evaluation unit is used to determine the second evaluation points, the overall merit unit
For being evaluated according to the first evaluation points and the second evaluation points status predication effect；
The first evaluation points of the determination, are carried out in the following ways：Establish the first evaluation function：
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In formula, F1The first evaluation points are represented, N represents all monitoring numbers, N1Represent the number of false-alarm；
The second evaluation points of the determination, are carried out in the following ways：Establish the second evaluation function：
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In formula, F1Represent the first evaluation points, N2Represent the number of false dismissal；
It is described that status predication effect is evaluated, carry out in the following ways：Establish composite evaluation function：
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<mi>e</mi>
<mrow>
<msub>
<mi>F</mi>
<mn>1</mn>
</msub>
<mo>+</mo>
<msub>
<mi>F</mi>
<mn>2</mn>
</msub>
</mrow>
</msup>
<msup>
<mn>2</mn>
<mrow>
<mo>-</mo>
<msqrt>
<mrow>
<msub>
<mi>F</mi>
<mn>1</mn>
</msub>
<mo>+</mo>
<msub>
<mi>F</mi>
<mn>2</mn>
</msub>
</mrow>
</msqrt>
</mrow>
</msup>
</mfrac>
</mrow>
In formula, F represents the prediction and evaluation factor, and the prediction and evaluation factor is bigger, and prediction result is more accurate.
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