CN108632871A - Flow status analysis method, device and analysis system - Google Patents
Flow status analysis method, device and analysis system Download PDFInfo
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- CN108632871A CN108632871A CN201810425522.4A CN201810425522A CN108632871A CN 108632871 A CN108632871 A CN 108632871A CN 201810425522 A CN201810425522 A CN 201810425522A CN 108632871 A CN108632871 A CN 108632871A
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- H—ELECTRICITY
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Abstract
The present invention implements a kind of flow status analysis method of offer, device and analysis system.Analysis system includes the intelligent Service and management platform ISM, intelligent radio gateway service module I WG, Radio Access Controller AC and wireless access point AP of communication connection, wherein is stored with data collection strategy in AP and AC.The method includes：The data on flows collected according to data collection strategy is sent to ISM by AC and AP through IWG；ISM analyzes data on flows based on target flow model, obtains the health status of data on flows.It is possible thereby to avoid can be obtained the health status of network flow by the way of manual analysis.
Description
Technical field
The present invention relates to fields of communication technology, are in particular to a kind of flow status analysis method, device and analysis
System.
Background technology
In WIFI network, it is difficult to judge the network flow health status of AP by machine learning.And network flow is strong
Flow rate mode of the health analysis dependent on AP, flow rate mode depend on many things, not only time to time change, but also with scene
And change, this makes it difficult to provide network flow health status.Presently mainly the mode based on manual analysis judges network flow
Measure health status.
Invention content
In order to overcome above-mentioned deficiency in the prior art, the embodiment of the present invention to be designed to provide a kind of flow status point
Method, apparatus and analysis system are analysed, can be avoided by the way of manual analysis, you can obtain the healthy shape of network flow
Condition.
The embodiment of the present invention provides a kind of flow status analysis method, is applied to analysis system, the system comprises communications
It the intelligent Service of connection and management platform ISM, intelligent radio gateway service module I WG, Radio Access Controller AC and wirelessly connects
Access point AP, wherein it is stored with data collection strategy in the AP and AC, the method includes：
The data on flows collected according to the data collection strategy is sent to the ISM by the AC and AP through the IWG；
The ISM analyzes the data on flows based on target flow model, obtains the health of the data on flows
State.
The embodiment of the present invention also provides a kind of flow status analytical equipment, is applied to ISM, the ISM and IWG, AC and AP
Communication connection, wherein data collection strategy is stored in the AP and AC, described device includes：
Receiving module, for receiving the AC and AP through being collected according to the data collection strategy of sending of the IWG
Data on flows；
Analysis module analyzes the data on flows for being based on target flow model, obtains the data on flows
Health status.
The embodiment of the present invention also provides a kind of analysis system, and it is flat with management that the system comprises the intelligent Services of communication connection
Platform ISM, intelligent radio gateway service module I WG, Radio Access Controller AC and wireless access point AP, wherein the AP and AC
In be stored with data collection strategy,
The AC and AP is used to the data on flows collected according to the data collection strategy being sent to through the IWG described
ISM；
The ISM obtains the data on flows for being analyzed the data on flows based on target flow model
Health status.
In terms of existing technologies, the invention has the advantages that：
A kind of flow status analysis method of offer of the embodiment of the present invention, device and analysis system.The analysis system includes
ISM, IWG, AC and AP of communication connection.Wherein, it is stored with data collection strategy in the AC and the AP.The AC is according to institute
It states data collection strategy and collects the data on flows needed, and the data on flows of collection is sent to the IWG.The AP is according to institute
It states data collection strategy and collects the data on flows needed, and the data on flows of collection is sent to the IWG.The IWG will connect
The data on flows that the data on flows and the AP that the AC received is sent are sent is sent to the ISM.The ISM is according to target stream
Amount model analyzes the data on flows, obtains the health status of the data on flows.As a result, to the health of network flow
State is judged, and need not save manpower by the way of manual analysis.
To enable the above objects, features, and advantages of invention to be clearer and more comprehensible, present pre-ferred embodiments cited below particularly, and
The appended attached drawing of cooperation, is described in detail below.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the block diagram of analysis system provided in an embodiment of the present invention.
Fig. 2 is the block diagram of ISM in Fig. 1.
Fig. 3 is the flow diagram of flow status analysis method provided in an embodiment of the present invention.
Fig. 4 is the flow diagram for the sub-step that step S110 includes in Fig. 3.
Fig. 5 is the flow diagram for the sub-step that step S120 includes in Fig. 3.
Fig. 6 is the flow diagram for the sub-step that sub-step S122 includes in Fig. 5.
Fig. 7 is Monday to summarize data on flows table based on hour.
Fig. 8 is the relational graph of time Monday and total flow data.
Fig. 9 is 8:00-22:The relational graph of 00 terminal quantity and total flow data.
Figure 10 is 23:00-9:The relational graph of 00 terminal quantity and total flow data.
Figure 11 is the block diagram of flow status analytical equipment provided in an embodiment of the present invention.
Icon：10- analysis systems；100-ISM；110- memories；120- storage controls；130- processors；200-
IWG；300-AC；400-AP；500- flow status analytical equipments；510- receiving modules；520- analysis modules.
Specific implementation mode
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, the detailed description of the embodiment of the present invention to providing in the accompanying drawings is not intended to limit claimed invention below
Range, but it is merely representative of the selected embodiment of the present invention.Based on the embodiment of the present invention, those skilled in the art are not doing
The every other embodiment obtained under the premise of going out creative work, shall fall within the protection scope of the present invention.
It should be noted that：Similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent attached drawing in a attached drawing.Meanwhile the present invention's
In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
Below in conjunction with the accompanying drawings, it elaborates to some embodiments of the present invention.In the absence of conflict, following
Feature in embodiment and embodiment can be combined with each other.
Fig. 1 is please referred to, Fig. 1 is the block diagram of analysis system 10 provided in an embodiment of the present invention.The analysis system
10 may include the ISM (Intelligent Service Management, intelligent Service and management platform) of communication connection
100, IWG (Intelligent Wireless Gateway, intelligent radio gateway service module) 200, AC (wireless
Access point Controller, Radio Access Controller) 300 and AP (Access Point, wireless access point) 400.Its
In, the AP400 is all connected with the IWG200 and the AC300.The AC300 and AP400 is used to acquire related data, and
It is sent to the ISM100 through IWG200, to realize the analyzing processing to data, obtains analysis result.
Fig. 2 is please referred to, Fig. 2 is the block diagram of ISM100 in Fig. 1.The ISM100 can be the dress positioned at high in the clouds
It sets.The ISM100 may include：Memory 110, storage control 120, processor 130 and flow status analytical equipment
500。
It is directly or indirectly electrically connected between 130 each element of the memory 110, storage control 120 and processor,
To realize the transmission or interaction of data.For example, these elements can pass through one or more communication bus or signal wire between each other
It realizes and is electrically connected.Flow status analytical equipment 500 is stored in memory 110, the flow status analytical equipment 500 includes
At least one software function module that can be stored in the form of software or firmware (firmware) in the memory 110.Institute
Software program and module that processor 130 is stored in by operation in memory 110 are stated, such as the flow in the embodiment of the present invention
State analysis device 500 realizes the flow shape in the embodiment of the present invention to perform various functions application and data processing
State analysis method.
Wherein, the memory 110 may be, but not limited to, random access memory (Random Access
Memory, RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable
Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only
Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only
Memory, EEPROM) etc..Wherein, memory 110 is for storing program, the processor 130 after receiving and executing instruction,
Execute described program.The processor 130 and other possible components can control the access of memory 110 in the storage
It is carried out under the control of device 120.
The processor 130 may be a kind of IC chip, the processing capacity with signal.Above-mentioned processor
130 can be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit
(Network Processor, NP) etc..It can also be digital signal processor (DSP), application-specific integrated circuit (ASIC), scene
Programmable gate array (FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware group
Part.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor can be with
It is microprocessor or the processor can also be any conventional processor etc..
It is appreciated that structure shown in Fig. 2 is only to illustrate, ISM100 may also include more or less than shown in Fig. 2
Component, or with the configuration different from shown in Fig. 2.Hardware, software, or its combination may be used in each component shown in Fig. 2
It realizes.
Described IWG200, AC300 and AP400 can have above structure identical with the ISM100, no longer superfluous herein
It states.
Fig. 2 is please referred to, Fig. 3 is the flow diagram of flow status analysis method provided in an embodiment of the present invention.The side
Method is applied to the analysis system 10.The detailed process of flow state analysis method is described in detail below.
Step S110, the AC300 and AP400 will be described in the data on flows that collected according to data collection strategy warps
IWG200 is sent to the ISM100.
In the present embodiment, described IWG200, AC300 and AP400 are the device for being located locally end.The ISM100 will
Data collection strategy for acquiring data on flows is sent to the IWG200, and the IWG200 is by the data collection of reception
Strategy preserves, and is sent to the AC300, which is sent to the AP400 by the AC300 again.Institute as a result,
It states AC300 and AP400 and obtains the data collection strategy.Wherein, the data collection strategy may include AP400, AC300
Etc. device types and device version, type of data collection, data collection intervals parameter (for example, sampling interval) etc..
Further, the ISM100 can also send filtering policy to the IWG200, and the IWG200 is by reception
The filtering policy is stored, and is handled the data that will be sent to the ISM100 according to the filtering policy.
In the present embodiment, the WLAN interface number that the AC300 and AP400 will be collected into according to the data collection strategy
According to being sent to the ISM100.It is the parameter of Wave II AP wan interfaces (br-wan) below：
-RX:packets(e.g.197733),errors(e.g.0),dropped(e.g.1),overruns(e.g.0),
frame(e.g.0)
-TX:packets(e.g.129735),errors(e.g.0),dropped(e.g.1),overruns(e.g.0),
carrier(e.g.0)
-collisions(e.g.0),txqueuelen(e.g.0)
-RX bytes(e.g.21464883)TX bytes(e.g.109909718)
It is the parameter of Wave II AP below:
-RX:packets(e.g.197733),errors(e.g.0),dropped(e.g.1),overruns(e.g.0),
frame(e.g.0)
-TX:packets(e.g.129735),errors(e.g.0),dropped(e.g.1),overruns(e.g.0),
carrier(e.g.0)
-collisions(e.g.0),txqueuelen(e.g.2699)
-RX bytes(e.g.21464883)TX bytes(e.g.109909718)
-Interrupt(e.g.200)
Of course, it should be understood that can also include other AP parameters.
Fig. 4 is please referred to, Fig. 4 is the flow diagram for the sub-step that step S110 includes in Fig. 3.Step S110 may include
Sub-step S111 and sub-step S112.
Sub-step S111, the AC300 and AP400 send out the initial flow data collected according to the data collection strategy
Give the IWG200.
In the present embodiment, the initial flow data include the first initial flow data and the second initial flow data,
The initial flow data collected according to the data collection strategy are sent to the IWG200 by the AC300 and AP400, packet
It includes：
The AC300 collects the first initial flow data according to the data collection strategy, and will be at the beginning of described first
Beginning data on flows is sent to the IWG200；
The AP400 collects the second initial flow data according to the data collection strategy, and will be at the beginning of described second
Beginning data on flows is sent to the IWG200.
Since AC300 is used for management and control, AP400 is for accessing, and the effect of AC300 and AP400 are different, therefore AC300 is collected
Data type it is different from the data type that AP400 is collected, AC300 collection management status informations obtain the first initial flow number
According to AP400 collects access information and obtains the second initial flow data.For example, AC300 can count terminal as Dynamic Host Configuration Protocol server
Register Cancel IP address number, AP400 can count the line number evidence up and down of terminal.Wherein, terminal can be smart mobile phone,
The equipment that computer etc. accesses the AP400.
Sub-step S112, the IWG200 are filtered the initial flow data of reception according to the filtering policy
Processing, and the data on flows obtained after processing is sent to the ISM100.
In the present embodiment, the IWG200 is receiving the first initial flow and AP400 hairs that the AC300 is sent
After the second initial flow data sent, processing is filtered to initial flow data according to the filtering policy of preservation, that is, into
The cleaning of row basis, and initial flow data are sent to the ISM100 by treated.Thus, it is possible to not need ISM100 logarithms
According to basic filtration treatment is carried out again, workload is alleviated, and be convenient for data transmission.
Filtering is illustrated below.For example, the RTLS messages of AP400 meeting reporting terminals, as long as signal or ring
Border, which changes, will report the message.After IWG200 receives the RTLS messages of AP400 transmissions, judge to be a terminal,
Amplitude of variation whether in setting range (for example being in 3s, RSSI value is within ± 30), then by the RTLS messages of reception into
Row merges, and the message after merging is sent to IWG200.For example, merging into 1 by 10.
Step S120, the ISM100 analyze the data on flows based on target flow model, obtain the stream
Measure the health status of data.
Fig. 5 is please referred to, Fig. 5 is the flow diagram for the sub-step that step S120 includes in Fig. 3.Step S120 may include
Sub-step S121 and sub-step S122.
Data on flows pre-processes to treated by sub-step S121, the ISM100, obtains pretreated flow
Data.
In the present embodiment, the ISM100 can carry out depth analysis to the data on flows that the IWG200 is sent
It practises, to obtain the pretreated data on flows.
Sub-step S122, the ISM100 judge pretreated data on flows and the target flow model whether
Match, and the health status of network flow data is obtained according to matching result.
In the present embodiment, have discharge model library in the ISM100, by receive selection operation or pre-set it is equal just
Formula obtains target flow model from the flow rate mode library, and then according to the target flow data model and pretreated
Data on flows is analyzed and determined, to obtain the health status of network flow data.
WLAN interface total flow (RX bytes add TX bytes) is the basic parameter for analyzing flow health status, can also
It is used together from different potential combinations to analyze flow health status using other parameters.It how is described below according to total flow
Analyze health status.
Fig. 6 is please referred to, Fig. 6 is the flow diagram for the sub-step that sub-step S122 includes in Fig. 5.Sub-step S122 can be with
Including sub-step S1221, sub-step S1222, sub-step S1223, sub-step S1224 and sub-step S1225.
Sub-step S1221, the ISM100 obtain actual flow statistical data according to pretreated data on flows.
Sub-step S1222, the ISM100 are calculated according to the target flow model and pretreated data on flows
To desired flow statistical data, and calculate the deviation between the actual flow statistical data and the desired flow statistical data.
The deviation is compared by sub-step S1223, the ISM100 with normal preset difference value.
Sub-step S1224, when the deviation is less than the normal preset difference value, the ISM100 judges the pretreatment
Data on flows afterwards and the target flow Model Matching.
Sub-step S1225, when the deviation is not less than the normal preset difference value, the ISM100 judges the pre- place
Data on flows after reason and the target flow unmatched models.
In the present embodiment, the step of health status that network flow data is obtained according to matching result includes：
When the matching result is matching, judge that the health status of the network flow data is normal；
When the matching result is to mismatch, the target deviation range belonging to the deviation is analyzed, and according to deviation model
It encloses and obtains the health status of the network flow data with the correspondence of health status.
In the present embodiment, the ISM100 can be calculated pre- by traffic statistics (average value, standard deviation and recurrence etc.)
Data on flows that treated obtains the actual flow statistical data of AP datas on flows.Actual flow statistical data can only include
One value.The ISM100 carries out traffic statistics according to the target flow model and pretreated data on flows pre-
It surveys, obtains the desired flow statistical data, and calculate the desired flow statistical data and the actual flow statistical data
Difference, obtain the deviation.
Then the deviation is compared with the normal preset difference value, if the deviation is normally default poor less than described
Value indicates that the desired flow statistical data is close with the actual flow statistical magnitude, pretreated data on flows and institute
Target flow Model Matching is stated, the health status of the network flow data is normal.
If the deviation is not less than the normal preset difference value, the desired flow statistical data and the practical stream are identified
Amount statistical data is kept off, pretreated data on flows and the target flow unmatched models, the network flow data
Health status be it is unhealthy.
Further, it when health status is unhealthy, can also be carried out according to the deviation and preset deviation range
It compares, obtains the target deviation range described in the deviation.According to the correspondence of the target deviation range and health status
Obtain the unhealthy degree of the network flow data, for example, slightly, it is serious etc..Wherein, unhealthy degree can be according to reality
Situation is configured, for example, two ranks can be arranged, may be set to be three ranks etc., each abnormal degree and one
A deviation range corresponds to.
In the embodiment of the present embodiment, the ISM100 may be used also after obtaining the health status of network flow data
The health status to be shown by a display device.Further, when health status is unhealthy, the ISM100
It can also send and alert to the terminal device (for example, mobile phone, computer electric energy) of related personnel according to preconfigured notification rule
Information, to prompt related personnel.
It, can also will be pretreated when with the target flow Model Matching in the embodiment of the present embodiment
Data on flows is stored directly in the discharge model library, with according to more data sustained improvement discharge models.With it is described
When target flow unmatched models, a discharge model can be re-created according to pretreated data on flows, and be stored in institute
It states in discharge model library.Thus, it is possible to improve the accuracy of flow health status judgement.
In embodiment in the present embodiment, the ISM100 can also be received in advance to every in the discharge model library
The available mode of a discharge model and updates the discharge model library in the edited into the operation of edlin.Wherein, available mode
Including enabling and disabling.
It is exemplified below.
The normal preset difference value is the 10% of the desired flow statistical magnitude, and preset deviation range includes described pre-
10%~30%, 30% or more of phase traffic statistics quantity, wherein the 10%~30% of the desired flow statistical magnitude corresponds to
Slight unhealthy, 30% or more of the desired flow statistical magnitude is corresponding serious unhealthy.In the deviation not less than described
When normal preset difference value, judgement and the target flow unmatched models.If the corresponding deviation range of the deviation is described pre-
The 10%~30% of phase traffic statistics quantity then judges that the health status of the network flow data is slight unhealthy；If institute
30% or more that the corresponding deviation range of deviation is the desired flow statistical magnitude is stated, then judges the network flow data
Health status is serious unhealthy.
In the present embodiment, the analysis system 10 can also provide identical clothes by API gateway to third party's service
Business.The ISM100 can also be connect by API gateway with external system, and the ISM100 receives what the external system was sent
Discharge model, and data on flows is analyzed according to the target flow model in the discharge model of reception, obtain its network
Health status, and obtained health status is sent to external system.Wherein, which provides following functions：Design and original
Type API；Publication and improvement API are used；Create the shop of all available API；Control accesses and executes safety；Management development person
Community；Administration API flow；Monitoring and monetization；API platforms more rental periods are supported；It can be inserted into and expansible.External system as a result,
Offer target flow model is only needed to can be obtained by corresponding flow health status.
It is illustrated below to how to create discharge model.
Fig. 7~Figure 10 is please referred to, Fig. 7 is Monday to summarize data on flows table based on hour, illustrates total flow data, terminal
Relationship between quantity, time (kbytes vs Stations vs Hour).Fig. 8 is the pass of time Monday and total flow data
System's figure.8 are can be seen that according to Fig. 7 and Fig. 8:00-22:00 total flow data are bigger, and 23:00-7:00 total flow data
It is smaller.Therefore, above-mentioned data can be divided into two group (8:00-22:00,23:00-7:00) analysis modeling is carried out to be corresponded to
Discharge model.
Fig. 9 is 8:00-22:The relational graph of 00 terminal quantity and total flow data, 8:00-22:00 linear regression：X
(Numbr of Stations) vs Q (WAN port Total kbytes), linear regression the result is that：Total flow Q=
1843.366+405.776X to get to Monday 8:00-22:00 corresponding discharge model, the discharge model can be used for predicting week
One 8:00-22:00 total flow data.
Figure 10 is 23:00-9:The relational graph of 00 terminal quantity and total flow data, 23:00-7:00 linear regression：X
(Numbr of Stations) vs Q (WAN port Total Kbytes), linear regression the result is that：Total flow Q=3.444+
19.583X is to get to Monday 23:00-9:00 corresponding discharge model, the discharge model can be used for predicting Monday 23:00-9:
00 total flow data.
When needing to analyze the flow status of Monday, then practical total flow can be obtained in real time, and by the practical total flow
It is compared with the corresponding expection total flow obtained by above-mentioned one of discharge model, and then analyzes network flow
Health status.
Figure 11 is please referred to, Figure 11 is the block diagram of flow status analytical equipment 500 provided in an embodiment of the present invention.Institute
It states flow status analytical equipment 500 and is applied to ISM100, the ISM100 is communicated to connect with IWG200, AC300 and AP400.Its
In, it is stored with data collection strategy in the AP400 and AC300.The flow status analytical equipment 500 includes receiving module
510 and analysis module 520.
Receiving module 510 is received through what the IWG200 was sent according to the data for receiving the AC300 and AP400
The data on flows that collection strategy is collected.
In the present embodiment, the receiving module 510 is used to execute the step S110 in Fig. 3, about the receiving module
510 specific descriptions are referred to the description of step S10 in Fig. 3.
Analysis module 520 analyzes the data on flows for being based on target flow model, obtains the flow number
According to health status.
In the present embodiment, the analysis module 520 analyzes the data on flows based on target flow model, obtains
Mode to the health status of the data on flows includes：
Data on flows is pre-processed, pretreated data on flows is obtained；
Judge whether pretreated data on flows matches with the target flow model, and net is obtained according to matching result
The health status of network data on flows.
In the present embodiment, the analysis module 520 judges pretreated data on flows and the target flow model
Whether matched mode includes：
Actual flow statistical data is obtained according to pretreated data on flows；
Desired flow statistical data is calculated according to the target flow model and pretreated data on flows, and counts
Calculate the deviation between the actual flow statistical data and the desired flow statistical data；
The deviation is compared with normal preset difference value；
When the deviation is less than the normal preset difference value, the pretreated data on flows and the target are judged
Discharge model matches；
When the deviation is not less than the normal preset difference value, the pretreated data on flows and the mesh are judged
Discharge model is marked to mismatch.
In the present embodiment, the analysis module 520 is used to execute the step S120 in Fig. 3, about the analysis module
520 specific descriptions are referred to the description of step S120 in Fig. 3.
In conclusion a kind of flow analysis method of present invention offer, device and analysis system.The analysis system includes logical
Believe ISM, IWG, AC and AP of connection.Wherein, it is stored with data collection strategy in the AC and the AP.The AC is according to
Data collection strategy collects the data on flows needed, and the data on flows of collection is sent to the IWG.The AP is according to
Data collection strategy collects the data on flows needed, and the data on flows of collection is sent to the IWG.The IWG will be received
The AC send data on flows and the AP send data on flows be sent to the ISM.The ISM is according to target flow
Model analyzes the data on flows, obtains the health status of the data on flows.As a result, to the healthy shape of network flow
State is judged, and need not save manpower by the way of manual analysis.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of flow status analysis method, which is characterized in that be applied to analysis system, the system comprises the intelligence of communication connection
Energy service and management platform ISM, intelligent radio gateway service module I WG, Radio Access Controller AC and wireless access point AP,
In, it is stored with data collection strategy in the AP and AC, the method includes：
The data on flows collected according to the data collection strategy is sent to the ISM by the AC and AP through the IWG；
The ISM analyzes the data on flows based on target flow model, obtains the health status of the data on flows.
2. according to the method described in claim 1, it is characterized in that, being stored with filtering policy in the IWG, the AC and AP will
The data on flows collected according to the data collection strategy is sent to the ISM through the IWG, including：
The initial flow data collected according to the data collection strategy are sent to the IWG by the AC and AP；
The IWG is filtered processing according to the filtering policy to the initial flow data of reception, and will be obtained after processing
To data on flows be sent to the ISM.
3. according to the method described in claim 2, it is characterized in that, the initial flow data include the first initial flow data
And the second initial flow data, the initial flow data collected according to the data collection strategy are sent to institute by the AC and AP
IWG is stated, including：
The AC collects the first initial flow data according to the data collection strategy, and by the first initial flow number
According to being sent to the IWG；
The AP collects the second initial flow data according to the data collection strategy, and by the second initial flow number
According to being sent to the IWG.
4. according to the method described in claim 2, it is characterized in that, the ISM is based on target flow model to the flow number
According to being analyzed, the health status of the data on flows is obtained, including：
To treated, data on flows pre-processes the ISM, obtains pretreated data on flows；
The ISM judges whether pretreated data on flows matches with the target flow model, and is obtained according to matching result
To the health status of network flow data.
5. according to the method described in claim 4, it is characterized in that, the ISM judge pretreated data on flows with it is described
Whether target flow model matches, including：
The ISM obtains actual flow statistical data according to pretreated data on flows；
Desired flow statistical data is calculated according to the target flow model and pretreated data on flows in the ISM,
And calculate the deviation between the actual flow statistical data and the desired flow statistical data；
The deviation is compared by the ISM with normal preset difference value；
When the deviation is less than the normal preset difference value, the ISM judge the pretreated data on flows with it is described
Target flow Model Matching；
When the deviation is not less than the normal preset difference value, the ISM judges the pretreated data on flows and institute
State target flow unmatched models.
6. according to the method described in claim 5, it is characterized in that, described obtain the strong of network flow data according to matching result
Health state, including：
When the matching result is matching, judge that the health status of the network flow data is normal；
When the matching result is to mismatch, analyze the target deviation range belonging to the deviation, and according to deviation range with
The correspondence of health status obtains the health status of the network flow data.
7. a kind of flow status analytical equipment, which is characterized in that it is applied to ISM, the ISM is communicated to connect with IWG, AC and AP,
Wherein, it is stored with data collection strategy in the AP and AC, described device includes：
Receiving module, the flow collected according to the data collection strategy sent through the IWG for receiving the AC and AP
Data；
Analysis module analyzes the data on flows for being based on target flow model, obtains the strong of the data on flows
Health state.
8. device according to claim 7, which is characterized in that the analysis module is based on target flow model to the stream
Amount data are analyzed, and the mode for obtaining the health status of the data on flows includes：
Data on flows is pre-processed, pretreated data on flows is obtained；
Judge whether pretreated data on flows matches with the target flow model, and network flow is obtained according to matching result
Measure the health status of data.
9. device according to claim 8, which is characterized in that the analysis module judge pretreated data on flows with
The whether matched mode of target flow model includes：
Actual flow statistical data is obtained according to pretreated data on flows；
Desired flow statistical data is calculated according to the target flow model and pretreated data on flows, and calculates institute
State the deviation between actual flow statistical data and the desired flow statistical data；
The deviation is compared with normal preset difference value；
When the deviation is less than the normal preset difference value, the pretreated data on flows and the target flow are judged
Model Matching；
When the deviation is not less than the normal preset difference value, the pretreated data on flows and the target stream are judged
Measure unmatched models.
10. a kind of analysis system, which is characterized in that the system comprises the intelligent Services of communication connection and management platform ISM, intelligence
Energy radio network gateway service module IWG, Radio Access Controller AC and wireless access point AP, wherein be stored in the AP and AC
Data collection strategy,
The AC and AP is used to the data on flows collected according to the data collection strategy being sent to the ISM through the IWG；
The ISM obtains the health of the data on flows for being analyzed the data on flows based on target flow model
State.
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