CN106713343B - A method of communication protocol intelligently parsing is realized based on cloud computing - Google Patents
A method of communication protocol intelligently parsing is realized based on cloud computing Download PDFInfo
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- CN106713343B CN106713343B CN201710012649.9A CN201710012649A CN106713343B CN 106713343 B CN106713343 B CN 106713343B CN 201710012649 A CN201710012649 A CN 201710012649A CN 106713343 B CN106713343 B CN 106713343B
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- 238000004891 communication Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000012545 processing Methods 0.000 claims abstract description 3
- 238000004458 analytical method Methods 0.000 claims description 13
- 238000012937 correction Methods 0.000 claims description 5
- 230000007547 defect Effects 0.000 claims description 5
- 239000000284 extract Substances 0.000 claims description 5
- 239000012634 fragment Substances 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000009825 accumulation Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
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- 238000005070 sampling Methods 0.000 description 2
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/18—Multiprotocol handlers, e.g. single devices capable of handling multiple protocols
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Abstract
The present invention proposes a kind of method for realizing communication protocol intelligently parsing based on cloud computing, include the following steps: S1, the signal acquisition and display client for supporting multi-communication protocol parsing send a request for condition code generating algorithm to cloud server after acquiring signal；Server issues condition code generating algorithm to client；The signal-data processing acquired using condition code generating algorithm to this is obtained condition code and intercepts a segment signal segment, and this feature code and signal segment are uploaded to cloud server；Cloud server searches for matched analytical algorithm according to features described above code and signal segment in sample database.The present invention realizes the intelligent automatic parsing of communication protocol, does not need user and determines protocol type in advance.
Description
Technical field
The invention belongs to logic analysers, oscillograph technical field, for the agreement solution in logic analyser and oscillograph
Analyse function.
Background technique
There is numerous communication protocols in electronic system, and there are about hundreds of for total.For example, have responsible different product or
Communicate between module: such as RS232/485, USB, CAN have responsible plate grade communication: such as I2C, SPI, SDIO.
Electronics Engineers generally require actual measurement when design, debugging system and acquire these signal of communication sum numbers
According to help it to search problem, optimization system etc..Logic analyser is the equipment for being specifically used to cope with this generic task, it is general
It can support ten several parsings to tens kinds of standard agreements.Also have this function in certain oscillographs, but be limited to port number
Measure it is less, so support protocol type generally also much less.
Either logic analyser or oscillograph will use its protocol analysis function at present, usually require following step
It is rapid: to first have to determine that current demand signal using which kind of agreement, then finds corresponding protocol analysis in instrument or its software
Device, then needs some necessary parameters of manual setting, and last instrument or its software parse communication data according to above-mentioned setting
For users to use.
If user does not know which kind of agreement measured signal is based on, it is not just available parsing function, and this is begining to learn
It is very common in person and junior engineer group.It, next will also be to each seed ginseng of agreement even if being determined it is which kind of agreement
Number makes appropriate setting, and certain agreements can include the parameter of multinomial complexity, this results in user in use can
Often error, and the data of mistake will lead to the analysis of mistake as a result, to slattern a large amount of time and efforts of user.
Summary of the invention
The present invention is existing complex for operation step and more demanding to user in use for current protocol resolver
The problem of, it proposes and a kind of based on cloud computing and the communication protocol intelligent recognition based on big data deep learning and automatically parses
Scheme.
Technical scheme is as follows:
A method of communication protocol intelligently parsing is realized based on cloud computing, is included the following steps:
S1, the signal acquisition and display client for supporting multi-communication protocol parsing are after acquiring signal, to cloud server
Send a request for condition code generating algorithm；
S2, server issue condition code generating algorithm to client；
S3, the signal-data processing acquired using condition code generating algorithm to this are obtained condition code and intercept one section of letter
Number segment, and this feature code and signal segment are uploaded to cloud server；
S4, cloud server are searched for matched parsing according to features described above code and signal segment in sample database and are calculated
Method；
Client is handed down to when searching matched analytical algorithm, client is according to the analytical algorithm analytic signal
Parsing result is shown after data and self counts the related data of this parsing, and statistical result is uploaded to server, is serviced
Device determines whether mistake or defect according to statistical information；Such as nothing, statistical information is input to condition code generating algorithm by server
Device and sample database are practised, self iteration of condition code generating algorithm learner is improved, and updates sample data and analytical algorithm
Corresponding relationship；If any, carry out manual analysis, by after manual correction corresponding relationship and statistical information be input to condition code generate calculate
Massage learner and sample database, self iteration of condition code generating algorithm learner are improved, and update sample data and parsing calculation
The corresponding relationship of method；
When not searching matched analytical algorithm, notice client can not be parsed, and by whether manually determining this signal
Belong to certain agreement, if so, corresponding relationship is fed back to condition code generating algorithm learner and by its self iteration innovatory algorithm,
Condition code and signal segment are added simultaneously to sample database and the specified corresponding relationship with analytical algorithm, are such as not belonging to any association
View is not processed.
Preferably, the client is the logic analyser or oscilloscope software of operation on computers, or to have connection
The individual logic analyzer or oscilloscope apparatus of net function.
Preferably, the related data of self statistics of the client include the bit error rate, with the similarity of standard agreement and
Error code generates position.
1. preferred, in the step S4, the cloud server receives the condition code and signal patch of client upload
Duan Hou first searches the highest record of matching degree according to condition code in sample database,
If condition code matching similarity reaches 95% or more, then directly extracts the corresponding analytical algorithm of this feature code and issue
To client；
When such as condition code matching degree less than 95%, enabling signal segment similarity searches the highest record of matching degree, such as
Signal segment matching degree reaches 80% or more, then extracts the corresponding analytical algorithm of the segment, be handed down to client；
When such as fragment match degree less than 80%, notice client can not be parsed, and generate an artificial treatment request, be sent
Onto the maintenance interface of backstage expert engineer, determines whether this signal can be parsed by certain standard agreement by engineer, such as may be used
Corresponding relationship is then fed back to condition code generating algorithm learner, self iteration adjustment of condition code generating algorithm learner is calculated
Method, while condition code and signal segment are added into sample database, and specified corresponding relationship, if being not belonging to any agreement not
It processes.
2. it is preferred, in the step S4, after cloud server receives the statistical data of client upload, such as error code
Rate is greater than 90% less than 1% and with standard agreement similarity, this statistical information is directly inputted to condition code and generates calculation by server
In massage learner and sample database, condition code generating algorithm learner carries out self iterative learning, further refines feature
Code generating algorithm, addition sample data and analytical algorithm corresponding relationship to sample database；
If the bit error rate be greater than 1% or with standard agreement similarity less than 90%, then illustrate this protocol identification there may be
Mistake, server will generate an artificial treatment request at this time, backstage engineer is sent to, by engineer's problem analysis, by people
The corresponding relationship that work is corrected is input in condition code generating algorithm learner and sample database together with this statistical information, people
Work adjustment condition code generating algorithm simultaneously adds new corresponding relationship to sample database in conjunction with original condition code and signal segment
In.
Compared with prior art, the advantages and positive effects of the present invention are:
The present invention realizes the intelligent automatic parsing of communication protocol, does not need user and determines protocol type in advance, saves
Work effect is substantially improved to greatly reduce the requirement to user's level professional technology in many and diverse agreement setting steps
Rate reduces error probability.
Detailed description of the invention
Fig. 1 is system construction drawing of the invention.
Fig. 2 is Kingst VIS software interface.
Specific embodiment
In order to which the above objects, features and advantages of the present invention is more clearly understood, with reference to the accompanying drawing and implement
The present invention will be further described for example.In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention,
But the present invention can also be implemented using other modes described herein are different from, therefore, the present invention is not limited to following public affairs
The specific embodiment opened.
With reference to Fig. 1, the present invention includes client and server, is realized connect by public the Internet therebetween.This hair
The signal acquisition and display that the bright client can support multi-communication protocol to parse can be the logic of operation on computers
Analyzer or oscilloscope software are also possible to the individual logic analyzer for having network savvy or oscilloscope apparatus.Server
It is the software systems based on cloud, which has mass communication sample data and the various associations suitable for client software
Analytical algorithm is discussed, and the condition code generating algorithm that the deep learning ability based on self iteration is got can be provided by client.
A kind of method for realizing communication protocol intelligently parsing based on cloud computing of the present invention, this method specifically include following step
It is rapid:
S1, client send a request for condition code to cloud server and generate calculation after completing a signal acquisition
Method；
S2, server issue condition code generating algorithm to client；
S3 is handled this signal data acquired using this algorithm, is obtained condition code and is intercepted a segment signal piece
Section；Then this condition code and signal segment are uploaded to cloud server；
S4, cloud server scan for matching accordingly in sample database,
When searching matched analytical algorithm, which is handed down to client, client obtains parsing calculation
Measured signal is parsed using the algorithm after method, after client parses data, parsing result is on the one hand presented on use
On the interface of family for users to use, on the other hand, client self counts the related data of this parsing, the mistake including this parsing
Code rate generates position data with the similarity of standard agreement and error code, and the statistical result is uploaded to server, server
Mistake or defect are determined whether accordingly after receiving statistical information；Such as inerrancy or defect (namely the bit error rate is low, and similarity is high),
The statistical information received is fed back to condition code generating algorithm learner and updates sample database by server, and condition code generates
Self iteration of algorithm learner improves condition code generating algorithm, and adds the corresponding relationship of sample data and analytical algorithm, this
Process is the process of data accumulation, to find more and more accurate matching later；Errors excepted or defect (is namely missed
Code rate is high, and similarity is low), server then submits a artificial treatment to request, by expert engineer's analysis why, manually entangle
The matching of just current mistake, then by after manual correction corresponding relationship and this statistical information feed back to condition code and generate and calculate
Massage learner and sample database, the algorithm of condition code generating algorithm learner iteration adjustment itself, addition sample data and solution
Analyse the corresponding relationship of algorithm；
When not searching matched analytical algorithm, notice client can not be parsed, such as obtain be can not parse it is logical
Know, informs that client can not parse data on a user interface, while a artificial treatment being submitted to request, it is true by expert engineer
Whether this fixed signal can be by certain protocol analysis, and such as determination belong to certain agreement, and corresponding relationship is fed back to condition code and generates calculation
Massage learner, self iteration adjustment algorithm of condition code generating algorithm learner, while condition code and signal segment are added to sample
Database and the specified corresponding relationship with analytical algorithm；It is not processed if being not belonging to any agreement.
In this system initial operating stage, sample data mostlys come from laboratory and limited accumulation early period, sample database
Smaller, feature extraction algorithm is not perfect, so can be frequently necessary to manpower intervention help improves algorithm and sample database；With
The sample data of the operation of system, the increase of all kinds of different field users, accumulation will increase rapidly, and the success rate for matching search will
Higher and higher, the intelligence of system, the degree of automation are also just higher and higher, will not need substantially after accumulation after a period of time
Artificial intervention, to realize the intelligent recognition of communication protocol and automatically parse.
Embodiment:
Invention is described further combined with specific embodiments below, is carried out using the independently developed system of our company specific
Illustrate:
Client is arranged in pairs or groups KingstLA logical series analyzer hardware device by the KingstVIS software that runs on computer
Composition, server is then established on Ali's cloud ECS, in order to provide good network connection service.
VIS user interface of software is as shown in Fig. 2, user only needs to add when in use the solution of entitled " AutoAnalyzer "
Parser.After user completes a signal acquisition, VIS software starts intelligently parsing process automatically, the specific steps are as follows:
TCP connection is established by public network IP address and Ali's cloud ECS, is connected by this and sends the acquisition of condition code generating algorithm
Request, server issue the dll file of current signature code generating algorithm after receiving request immediately；
After VIS software receives condition code algorithm dll file, dynamically load this document, this sampled result is made immediately
For input, operation characteristic code algorithm obtains condition code, and intercepts a segment signal segment as initial data according to condition code algorithm
It uploads onto the server together with condition code；
After server receives condition code and signal segment, sample database is searched for according to condition code first, searches matching
Highest record is spent, if matching similarity reaches 95% or more, directly (dll is literary for the corresponding analytical algorithm of extraction this feature code
Part) and it is handed down to client；When condition code matching degree is less than 95%, enabling signal segment similarity searches matching degree highest
Record extract the corresponding analytical algorithm of the segment (dll file) if matching degree reaches 80% or more and be handed down to client；
When fragment match degree is less than 80%, notice client can not be parsed, and client such as receives the notice that can not be parsed, then directly exists
It prompts user to parse failure on VIS software interface, and generates an artificial treatment request, be sent to the dimension of backstage expert engineer
It protects on interface, determines whether this signal can be parsed by certain standard agreement by engineer, such as belong to certain agreement therein, then will
Corresponding relationship feeds back to condition code generating algorithm learner, self iteration adjustment algorithm of condition code generating algorithm learner, simultaneously
Condition code and signal segment are added into sample database, and respectively specifies that condition code and signal segment are corresponding with analytical algorithm
Relationship, and the protocol analysis algorithm is fed back into condition code generating algorithm learner, it is not processed if being not belonging to any agreement.
If client receives the dll file of analytical algorithm, then dynamically load this document immediately, and using sampled result as defeated
Enter to run analytical algorithm, the data finally parsed are shown in user interface (data in such as Fig. 2 on channel 0/1), with
Use is further analyzed for user.Meanwhile client can also count the bit error rate of this parsing, error code on VIS software backstage
The information such as the overall similarity of position and standard agreement signal are generated, is fed back and is uploaded onto the server.
After server receives feedback information, it is greater than 90% such as the bit error rate less than 1% and with standard agreement similarity, then will
This feedback information is directly inputted in condition code generating algorithm learner and sample database, condition code generating algorithm learner into
Self iterative learning of row further refines condition code generating algorithm, addition sample data and analytical algorithm corresponding relationship to sample
In database.
If the bit error rate be greater than 1% or with standard agreement similarity less than 90%, then illustrate this protocol identification there may be
Mistake, server will generate an artificial treatment request at this time, be sent to backstage engineer, where engineer's problem analysis,
The corresponding relationship of manual correction is input in condition code algorithm learner and sample database together with this statistical information, people
Work adjusts condition code generating algorithm, and the data such as original signal segment is combined to add new corresponding relationship together to sample data
In library.
Raw information segment (because initial data may be very big, is not suitable in whole by intercepting in whole original sampling datas
Pass, so the segment that one section of interception has characteristic feature uploads), condition code is by passing through spy based on whole original sampling datas
One group of data (smaller, usually only tens bytes) that sign code generating algorithm is calculated.Analytical algorithm is according to original
Information segment and condition code are used as condition to search out from database together, and condition code is preferential, because data volume is small, execute
Get up than very fast.
The present invention realizes the intelligent automatic parsing of communication protocol, does not need user and determines protocol type in advance, saves
Work effect is substantially improved to greatly reduce the requirement to user's level professional technology in many and diverse agreement setting steps
Rate reduces error probability.
The above described is only a preferred embodiment of the present invention, being not that the invention has other forms of limitations, appoint
What those skilled in the art changed or be modified as possibly also with the technology contents of the disclosure above equivalent variations etc.
It imitates embodiment and is applied to other fields, but without departing from the technical solutions of the present invention, according to the technical essence of the invention
Any simple modification, equivalent variations and remodeling to the above embodiments, still fall within the protection scope of technical solution of the present invention.
Claims (5)
1. a kind of method for realizing communication protocol intelligently parsing based on cloud computing, characterized by the following steps:
S1, the signal acquisition and display client for supporting multi-communication protocol parsing are sent after acquiring signal to cloud server
Request is to obtain condition code generating algorithm；
S2, server issue condition code generating algorithm to client；
S3, the signal-data processing acquired using condition code generating algorithm to this are obtained condition code and intercept a segment signal piece
Section, and this feature code and signal segment are uploaded to cloud server；
S4, cloud server search for matched analytical algorithm according to features described above code and signal segment in sample database；
Client is handed down to when searching matched analytical algorithm, client is according to the analytical algorithm analytic signal data
Parsing result is shown afterwards and self counts the related data of this parsing, and statistical result is uploaded to server, server root
Information determines whether mistake or defect according to statistics；Such as nothing, statistical information is input to condition code generating algorithm learner by server
And sample database, self iteration of condition code generating algorithm learner is improved, and it is corresponding with analytical algorithm to update sample data
Relationship；If any, carry out manual analysis, by after manual correction corresponding relationship and statistical information be input to condition code generating algorithm
Device and sample database are practised, self iteration of condition code generating algorithm learner is improved, and updates sample data and analytical algorithm
Corresponding relationship；
When not searching matched analytical algorithm, notice client can not be parsed, and by manually determining whether this signal belongs to
Certain agreement, if so, corresponding relationship is fed back to condition code generating algorithm learner and by its self iteration innovatory algorithm, simultaneously
Condition code and signal segment are added to sample database and the specified corresponding relationship with analytical algorithm, is such as not belonging to any agreement not
It processes.
2. a kind of method for realizing communication protocol intelligently parsing based on cloud computing according to claim 1, it is characterised in that:
The client is the logic analyser or oscilloscope software of operation on computers, or is patrolled to have the stand alone type of network savvy
Collect analyzer or oscilloscope apparatus.
3. a kind of method that communication protocol intelligently parsing is realized based on cloud computing according to any one of claims 1 or 2,
It is characterized by: the related data of self statistics of the client includes the bit error rate, similarity and error code with standard agreement
Generate position.
4. a kind of method for realizing communication protocol intelligently parsing based on cloud computing according to claim 3, it is characterised in that:
In the step S4, after the cloud server receives the condition code and signal segment of client upload, first according to condition code
The highest record of matching degree is searched in sample database,
If condition code matching similarity reaches 95% or more, then directly extracts the corresponding analytical algorithm of this feature code and be handed down to visitor
Family end；
When such as condition code matching degree less than 95%, enabling signal segment similarity searches the highest record of matching degree, such as signal
Fragment match degree reaches 80% or more, then extracts the corresponding analytical algorithm of the segment, be handed down to client；
When such as fragment match degree less than 80%, notice client can not be parsed, and generate an artificial treatment request, after being sent to
On the maintenance interface of platform expert engineer, determine whether this signal can be parsed by certain standard agreement by engineer, as can if
Corresponding relationship is fed back into condition code generating algorithm learner, self iteration adjustment algorithm of condition code generating algorithm learner, together
Shi Tianjia condition code and signal segment are into sample database, and specified corresponding relationship, do not do and locate if being not belonging to any agreement
Reason.
5. a kind of method for realizing communication protocol intelligently parsing based on cloud computing according to claim 4, it is characterised in that:
In the step S4, after cloud server receives the statistical data of client upload,
It is greater than 90% such as the bit error rate less than 1% and with standard agreement similarity, this statistical information is directly inputted to spy by server
It levies in code generating algorithm learner and sample database, condition code generating algorithm learner carries out self iterative learning, further
Condition code generating algorithm, addition sample data and analytical algorithm corresponding relationship are refined to sample database；
If the bit error rate is greater than 1% or with standard agreement similarity less than 90%, then illustrate this protocol identification there may be mistake,
Server will generate an artificial treatment request at this time, backstage engineer is sent to, by engineer's problem analysis, by manual correction
Corresponding relationship be input to together with this statistical information in condition code generating algorithm learner and sample database, manually adjust
Condition code generating algorithm simultaneously adds new corresponding relationship into sample database in conjunction with original condition code and signal segment.
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| CN108289093B (en) * | 2017-12-29 | 2021-09-17 | 北京拓明科技有限公司 | App application characteristic code library construction method and construction system |
| CN108600197B (en) * | 2018-04-04 | 2021-08-06 | 四川长虹电器股份有限公司 | Feature code blocking file uploading defense system and method capable of automatically learning and updating |
| CN109298862B (en) * | 2018-09-06 | 2021-12-21 | 深圳创维－Rgb电子有限公司 | Customized data value acquisition method and device and storage medium |
| CN110047260A (en) * | 2019-04-19 | 2019-07-23 | 航天云网数据研究院(江苏)有限公司 | A kind of data gathering algorithm |
| CN113380218A (en) * | 2020-02-25 | 2021-09-10 | 阿里巴巴集团控股有限公司 | Signal processing method and system, and processing device |
| CN112134872B (en) * | 2020-09-16 | 2022-07-26 | 江苏省未来网络创新研究院 | Network system with multi-application-layer cloud computing function |
| CN112422548A (en) * | 2020-11-10 | 2021-02-26 | 宁波智轩物联网科技有限公司 | Communication protocol setting system based on cloud controller |
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