CN108121716A - The approaches and problems uniprocesser system of process problem list - Google Patents

The approaches and problems uniprocesser system of process problem list Download PDF

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Publication number
CN108121716A
CN108121716A CN201611071663.8A CN201611071663A CN108121716A CN 108121716 A CN108121716 A CN 108121716A CN 201611071663 A CN201611071663 A CN 201611071663A CN 108121716 A CN108121716 A CN 108121716A
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China
Prior art keywords
keyword
network failure
text message
words
weighted value
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CN201611071663.8A
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Chinese (zh)
Inventor
吴俊�
张亮
谢于明
程康
薛莉
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Beijing Huawei Digital Technologies Co Ltd
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Beijing Huawei Digital Technologies Co Ltd
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Priority to CN201611071663.8A priority Critical patent/CN108121716A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/374Thesaurus
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/31Indexing; Data structures therefor; Storage structures
    • G06F16/313Selection or weighting of terms for indexing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance

Abstract

A kind of approaches and problems uniprocesser system of process problem list, is related to field of communication technology, to solve the problems, such as to be difficult to realize in the prior art targetedly to carry out data acquisition.This method includes:Problem uniprocesser system is after first problem list is received, target critical set of words is determined, then according to preset algorithm, from the mapping table of pre-stored keyword set and acquisition strategies, lookup and the highest keyword set of target critical set of words similarity, finally export Second Problem list.This technical solution is due to that can export Second Problem list, so that operation maintenance personnel can not only see the text message that network failure is described on questionnaire when checking, acquisition strategies can also be viewed, so that operation maintenance personnel can be targetedly gathered based on the acquisition strategies on Second Problem list for the data of diagnostic network failure, workload when operation maintenance personnel acquisition is used for the data of diagnostic network failure is reduced, so as to improve the efficiency of diagnostic network failure.

Description

The approaches and problems uniprocesser system of process problem list
Technical field
This application involves field of communication technology, more particularly to a kind of approaches and problems uniprocesser system of process problem list.
Background technology
At present, client (such as operator) asks after network failure is found to uniprocesser system submission the problem of equipment vendors Topic is single, wherein, the text message of description network failure has been recorded in the questionnaire.As shown in Figure 1, problem uniprocesser system is connected to After the questionnaire, determine that the questionnaire for also untreated questionnaire, is sent to questionnaire and distributes system, and led to by the questionnaire It crosses questionnaire and distributes system and be distributed in the terminal of a line operation maintenance personnel, be then based on the description network failure recorded on questionnaire Text message, curstomer's site is gone to solve the problems, such as.For an insurmountable complex fault of line operation maintenance personnel, common practice It is the related data that instruction acquisition of the line operation maintenance personnel based on two wires O&M expert is used for diagnostic network failure, then will adopts again The data back collected carries out offline fault diagnosis to two wires O&M expert, it is then determined that the network equipment to break down.
Under normal conditions, scene of the O&M expert in two wires due to not arriving network failure, for the quick original for finding network failure Because finding the network equipment to break down, it can indicate that a line operation maintenance personnel makees the acquisition of full dose formula, this can consume the plenty of time and adopt Transmission stage when collection stage and return data.Since operation maintenance personnel is not in the case where knowing failure cause, it is difficult to be directed to Property acquisition for diagnostic network failure data, considerably increase acquisition for diagnostic network failure data when work Amount.
The content of the invention
This application provides a kind of approaches and problems uniprocesser system of process problem list, to solve to deposit in the prior art In the case where operation maintenance personnel does not know failure cause, it is difficult to the problem of realizing targetedly data acquisition.
In a first aspect, a kind of method of process problem list is provided, including:
Problem uniprocesser system determines target critical set of words after first problem list is received, then according to pre- imputation Method from the mapping table of pre-stored keyword set and acquisition strategies, is searched and target critical set of words similarity Highest keyword set, finally exports Second Problem list, and Second Problem list includes describing the text envelope of network failure Breath and the corresponding acquisition strategies of the keyword set with finding, acquisition strategies is obtain the data for diagnostic network failure Method, first problem list is questionnaire to be treated, and first problem list includes describing the text envelope of network failure Breath, target critical set of words include at least one keyword, and at least one keyword is for describing the text of network failure The keyword of information.
Since problem uniprocesser system can be handled first problem list, obtained after first problem list is received Then Second Problem list including acquisition strategies exports Second Problem list so that operation maintenance personnel can not only be seen when checking The text message of network failure is described, moreover it is possible to view acquisition strategies on questionnaire so that operation maintenance personnel can be asked based on second Acquisition strategies on topic list are targetedly gathered for the data of diagnostic network failure, reduce operation maintenance personnel acquisition for examining The workload during data of circuit network failure, so as to improve the efficiency of diagnostic network failure.
On the basis of first aspect, optionally, problem uniprocesser system determines target critical word set in the following manner It closes:
Problem uniprocesser system determines to describe at least one keyword set of the text message of network failure;Then Determine the weighted value of each keyword at least one keyword set respectively, weighted value is for characterizing keyword for describing Significance level in the text message of network failure;And each keyword set at least one keyword set is determined respectively Weighted value, the weighted value of keyword set is the sum of weighted value of each keyword in keyword set;Finally determine that target is closed Keyword set is the keyword set of the weighted value maximum of keyword set.
Since problem uniprocesser system determines target critical set of words through the above way, definite target critical is improved The accuracy of keyword in set of words.
On the basis of first aspect, optionally, problem uniprocesser system is directed to each keyword, however, it is determined that prestores Keywords database include keyword, then as follows determine keyword initial weight value:
Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword;
Problem uniprocesser system if it is determined that do not determine keyword then as follows in keywords database including keyword Initial weight value:
Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword × criticality weights;
Problem uniprocesser system determines the highest keyword of initial weight value for each keyword set, according to following side Formula adjusts the initial weight value of the keyword in each keyword set, obtains the weighted value of keyword:
Weighted value=initial weight value × (1+ is between weights/keyword and the highest keyword of initial weight value Distance);
Wherein, the word frequency of keyword is the number that keyword occurs in the text message for describing network failure;Frequently Numerous degree weights are coefficient corresponding with the word frequency of keyword;English digital Length Weight is the length with keyword Chinese and English number Corresponding coefficient;It is the distance between keyword and the highest keyword of initial weight value coefficient of correspondence apart from weights.
Since problem uniprocesser system determines the weighted value of keyword through the above way, the weighted value determined is improved Accuracy is obtained, keyword is more accurately characterized and is used to describe the weight in the text message of network failure in first problem list Want degree.
On the basis of first aspect, optionally, problem uniprocesser system after definite target critical set of words,
The keyword not included in target critical set of words in keywords database is stored into keywords database;And by mesh The keyword not being included in mark keyword set in keywords database is stored into mapping table.
On the basis of first aspect, optionally, problem uniprocesser system prestores keyword set according to following manner Close the mapping table with acquisition strategies:
Problem uniprocesser system determines correspondence according to the text message for being used to describe network failure in the 3rd questionnaire Keyword set in table;And according to the text message for being used to describe processing network failure in the 3rd questionnaire, determine acquisition Strategy;The problem of 3rd questionnaire is has completed processing is single;And the correspondence storage of keyword set and acquisition strategies is arrived In mapping table.
It should be noted that in this application, except the application provide prestore the mode of mapping table in addition to, also Can after the mapping table of the good keyword set of human configuration and acquisition strategies, to store in problem uniprocesser system or In other memory spaces.
Since the problem of problem uniprocesser system can be based on and complete processing, singly prestores keyword set and acquisition The mapping table of strategy, so as to avoid the correspondence list of human configuration keyword set and acquisition strategies, improves Problem uniprocesser system it is intelligent.
Second aspect provides a kind of problem uniprocesser system, including interface unit and processing unit, wherein, interface list Member is for receiving first problem list, and first problem list is questionnaire to be treated, and first problem list includes describing The text message of network failure;For processing unit for determining target critical set of words, target critical set of words includes at least one A keyword, at least one keyword are for describing the keyword of the text message of network failure;And according to preset algorithm, From the mapping table of pre-stored keyword set and acquisition strategies, search and target critical set of words similarity highest Keyword set;Interface unit is additionally operable to output Second Problem list, and Second Problem list includes describing network failure Text message and the corresponding acquisition strategies of the keyword set with finding.
On the basis of second aspect, optionally, processing unit determines to describe the text message of network failure extremely A few keyword set;And the weighted value of each keyword at least one keyword set is determined respectively, weighted value is used for Characterize significance level of the keyword in the text message for describing network failure;And at least one keyword is determined respectively The weighted value of each keyword set in set, the weighted value of keyword set are the weight of each keyword in keyword set The sum of value;Keyword set of the target critical set of words for the weighted value maximum of keyword set is determined again.
On the basis of second aspect, optionally, processing unit determines at least one keyword set according to following manner In each keyword weighted value:
For each keyword, however, it is determined that pre-stored keywords database includes keyword, then as follows really Determine the initial weight value of keyword:
Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword;
If it is determined that not including keyword in keywords database, then the initial weight value of keyword is determined as follows:
Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword × criticality weights;
The highest keyword of initial weight value is determined for each keyword set, is adjusted according to following manner each crucial The initial weight value of keyword in set of words, obtains the weighted value of keyword:
Weighted value=initial weight value × (1+ is between weights/keyword and the highest keyword of initial weight value Distance);
Wherein, the word frequency of keyword is the number that keyword occurs in the text message for describing network failure;Frequently Numerous degree weights are coefficient corresponding with the word frequency of keyword;English digital Length Weight is the length with keyword Chinese and English number Corresponding coefficient;It is the distance between keyword and the highest keyword of initial weight value coefficient of correspondence apart from weights.
On the basis of second aspect, optionally, processing unit is after definite target critical set of words, by target keyword The keyword not being included in set in keywords database is stored into keywords database;And it will not include in target critical set of words Keyword in keywords database is stored into mapping table.
On the basis of second aspect, optionally, processing unit prestores keyword set with adopting according to following manner Collect the mapping table of strategy:
According to the text message for being used to describe network failure in the 3rd questionnaire, the keyword set in mapping table is determined It closes;And according to the text message for being used to describe processing network failure in the 3rd questionnaire, determine acquisition strategies;3rd questionnaire The problem of to have completed processing, is single;And keyword set is stored with the correspondence of network failure information collection policy to corresponding In relation table.
The third aspect, the application provide a kind of device of process problem list, and including processor and memory, memory is used for Program is stored, processor calls the program of memory storage, to perform the either method of the application first aspect offer.
Fourth aspect, the application provide a kind of device of process problem list, including being used to perform appointing for more than first aspect At least one processing element (or chip) of one method.
5th aspect, the application provide a kind of program of process problem list, which is used to hold when being executed by processor The either method of row more than first aspect.
6th aspect, provides a kind of program product, such as computer readable storage medium, includes the program of the 5th aspect.
Description of the drawings
Fig. 1 is questionnaire process flow schematic diagram in the prior art;
Fig. 2 is the embodiment of the present application questionnaire process flow schematic diagram;
Fig. 3 is the embodiment of the present application questionnaire schematic diagram;
Fig. 4 is the method flow schematic diagram of the embodiment of the present application process problem list;
Fig. 5 is schematic diagram of the embodiment of the present application to the mapping table of keyword set and acquisition strategies;
Fig. 6 is the structure diagram of the embodiment of the present application problem uniprocesser system;
Fig. 7 is the hardware architecture diagram of the embodiment of the present application problem uniprocesser system.
Specific embodiment
In order to make the purpose, technical scheme and advantage of the application clearer, the application is made below in conjunction with attached drawing into One step it is described in detail.
As shown in Fig. 2, a kind of application scenarios schematic diagram of the method for process problem list in the embodiment of the present application, works as client If operator is after network failure is found, may be notified that equipment vendor contact staff describe occur network failure after the phenomenon that, customer service The text envelope of record description network failure in the problem of the problem of personnel are in problem uniprocesser system list recording module provides list Breath, wherein, questionnaire can be with as shown in figure 3, questionnaire includes number, fault type, faulty equipment type, faulty equipment version Sheet, phenomenon of the failure, cause the reason for failure at diagnosis process.Wherein, contact staff can be filled according to the description of client in questionnaire Position 1,5, wherein position 1 can also be automatically generated, position 5 needs base by being filled in manually by problem uniprocesser system It is filled in the description of user, the text message wherein filled in position 5 is the text for being used to describe network failure in the application Information, position 2,3,4,6,7 need to be filled in after network failure has been handled by operation maintenance personnel.Then contact staff is after having filled in The problem of be singly first problem list in the embodiment of the present application, customer service submission will fill in the problem of rear and singly be submitted at questionnaire Reason system.
In addition, can also directly be sent from client by client to problem uniprocesser system includes describing network failure The problem of information, is single.
Wherein, by increasing questionnaire format analysis module and questionnaire feature analysis in existing issue uniprocesser system Module pushes the acquisition strategies of the network failure described in first problem list to realize to operation maintenance personnel, wherein can when realizing Pass through one or more processing equipments, element or chip problem of implementation single lattice formula analysis module and questionnaire feature analysis module Function.Specifically, as shown in figure 4, the method for the embodiment of the present application process problem list, including:
Step 400, problem uniprocesser system receives first problem list, and wherein first problem list is problem to be treated Single, first problem list includes the text message for describing network failure.
Specifically, first problem single-shot is sent to questionnaire form point by the list recording module of the problem of in problem uniprocesser system Analyse module, the first problem list that questionnaire format analysis module sends questionnaire recording module carries out format analysis, acquisition the For describing the text message of network failure in one questionnaire, and the first problem obtained is sent to questionnaire characteristics analysis module It is used to describe the text message of network failure in list.
Wherein, questionnaire format analysis module is used to be distinguished based on default algorithm and is used to describe network failure in questionnaire Text message and text message for describing diagnostic network failure.
Step 410, problem uniprocesser system determines target critical set of words, and target critical set of words includes at least one Keyword, at least one keyword are for describing the keyword of the text message of network failure.
The text message for being used to describe network failure in first problem list is parsed by questionnaire feature analysis module, Obtain target critical set of words, it should be appreciated that the keyword of passage extraction may there are many modes, optionally, questionnaire Feature analysis module walks are used to describe all possible keyword set of text message of network failure, then determine respectively every The weighted value of each keyword in a keyword set;And each keyword set at least one keyword set is determined respectively The weighted value of conjunction, wherein, the weighted value of keyword set is the sum of weighted value of each keyword in keyword set;It determines again Target critical set of words is the keyword set of the weighted value maximum of keyword set, wherein weighted value in the embodiment of the present application For characterizing significance level of the keyword in the text message for describing network failure.
Preferably, questionnaire feature analysis module determines weighted value as follows:
Questionnaire feature analysis module first carries out clearly the text message for being used to describe network failure in first problem list Wash, remove insignificant punctuation mark and word (such as " " etc.), then after extraction cleaning for describing the text of network failure Keyword in information, optionally, questionnaire feature analysis module can be based on the keyword extraction cleanings stored in keywords database Afterwards for describing the keyword in the text message of network failure, and determine based on preset algorithm each keyword of extraction Weighted value, preferably, in order to improve the accuracy of definite weighted value, it is true that questionnaire feature analysis module can be based on following manner Determine weighted value:
If it is determined that pre-stored keywords database includes the keyword of extraction, then the pass of extraction is determined as follows The initial weight value of keyword:
Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword;
Problem uniprocesser system if it is determined that do not determine then to close as follows in keywords database including the keyword extracted The initial weight value of keyword:
Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword × criticality weights;
Problem uniprocesser system determines the highest keyword of initial weight value for each keyword set, according to following side Formula adjusts the initial weight value of the keyword in each keyword set, obtains the weighted value of keyword:
Weighted value=initial weight value × (1+ is between weights/keyword and the highest keyword of initial weight value Distance);
Wherein, the word frequency of keyword is the number that keyword occurs in the text message for describing network failure;Frequently Numerous degree weights are coefficient corresponding with the word frequency of keyword;English digital Length Weight is the length with keyword Chinese and English number Corresponding coefficient;It is the distance between keyword and the highest keyword of initial weight value coefficient of correspondence apart from weights.
It should be noted that the correspondence and English of the word frequency of frequency weights and keyword can be prestored Digit length weights and the correspondence of English digital length, wherein, keyword Chinese and English data length proportion is bigger, English The value of literary data length weights is also bigger, for describing the number that some keyword occurs in the text message of network failure More, corresponding frequency weights are also bigger.In specific implementation, English digital weights can take an identical value.
In the embodiment of the present application, it is assumed that the highest keyword of initial weight value is keyword 2, keyword 2 and keyword 2 The distance between be 1, it is assumed that keyword 1 is the keyword adjacent with keyword 2, then the distance between keyword 1 and keyword 2 For 2, and so on.
Step 420, problem uniprocesser system is according to preset algorithm, from pre-stored keyword set and acquisition strategies In mapping table, search and the highest keyword set of target critical set of words similarity.
Wherein, the correspondence list of keyword set and acquisition strategies can be then stored in by manually being configured In problem uniprocesser system, in addition, the correspondence list of keyword set and acquisition strategies is also based on the processing of completion The problem of singly extract keyword set and acquisition strategies, specifically, problem uniprocesser system according in the 3rd questionnaire for retouching The text message of network failure is stated, determines the keyword set in mapping table;And according in the 3rd questionnaire for retouching The text message of processing network failure is stated, determines acquisition strategies;The problem of 3rd questionnaire is has completed processing is single;And by key The correspondence of set of words and acquisition strategies is stored into mapping table.Wherein, the 3rd questionnaire in the embodiment of the present application It is stored in historical problem single database.
It is to be understood that in the embodiment of the present application, the correspondence list of keyword set and acquisition strategies can be such as Fig. 5 institutes Show, but be not limited only to the correspondence tableau format shown in Fig. 5.The problem of wherein questionnaire number is in the 3rd questionnaire Single number.Specifically, problem uniprocesser system determines the mode of the weighted value of keyword and keyword in the 3rd questionnaire with asking Topic uniprocesser system determines in first problem list that the weighted value of keyword and keyword obtains that mode is similar, and details are not described herein.
It should be noted that in the embodiment of the present application, it is assumed that asking for processing has been completed in the extraction of problem uniprocesser system The keyword for being used to describe the text message of network failure in topic single 1 is including 10, and the weight of keyword 9 and keyword 10 If value is less than predetermined threshold value, in order to avoid keyword is excessive in mapping table, then the smaller key of weighted value is not considered further that Word, the then keyword set of the text message for describing network failure in the problem of having completed processing single 1 include key Word 1, keyword 2, keyword 3, keyword 4, keyword 5, keyword 6, keyword 7 and keyword 8, it is assumed that questionnaire processing system The keyword set of the completed questionnaire 2 of system extraction includes keyword 1, keyword 6, keyword 9, keyword 10, pass Keyword 11, keyword 12, keyword 13 and keyword 14, then by keyword 10, keyword 11, keyword 12,13 and of keyword Keyword 14 increases in mapping table and keywords database, and is redefined based on newly-increased keywords database and completed asking for processing The weighted value of keyword and keyword in topic single 1, if wherein the keyword 12 that mapping table includes, and completed 12 corresponding weighted value of keyword in the problem of not including the keyword 12 in the problem of processing single 1, then will complete processing single 1 It is set to 0.
When the target critical set of words that problem uniprocesser system is determined in first problem list is included in correspondence list During keyword not to be covered, then keywords database and mapping table are updated, specific problem uniprocesser system is by target keyword The keyword not being included in set in keywords database and mapping table is stored into keywords database and mapping table, then Problem uniprocesser system redefines each questionnaire in mapping table based on updated keywords database and numbers corresponding pass The weighted value of keyword.
Since problem uniprocesser system is used to describe in questionnaire is extracted the text of network failure in the embodiment of the present application Multiple keywords are likely to be obtained during the keyword of this information, but the weighted value of some keywords is smaller, removes these keywords The description to network failure is not interfered with, because in order to reduce the calculation amount of problem uniprocesser system, it is generally the case that questionnaire Only include the pass that weighted value is selected to be more than predetermined threshold value from all keywords in the target critical set of words that processing system determines Keyword.
In addition, in the embodiment of the present application, acquisition strategies include:
(1) acquisition target of network failure data, such as (Internet Protocol are interconnected between network the IP of equipment Agreement), port numbers or user index etc.;
(2) acquisition or order group of network failure data;
(3) data message that former the problem of having completed processing singly gathers in diagnostic network failure, as order echoes former Beginning data or the state or statistical information directly extracted from order echo.
Wherein, the acquisition or order group of the specific preset rules extraction network failure data of problem uniprocesser system, In, preset rules can be that primary sign is default special symbol, such as ":”;Or character is in default acquisition character library In or character string meet the template in acquisition storehouse, such as " display interface GigabitEthernet $ inf_ Name ", wherein $ inf_name represent any one word.It should be noted that preset rules can be in above three rule One or more, meet one of them and then extract as acquisition.
In the embodiment of the present application, problem uniprocesser system can be determined based on following manner target critical set of words with it is corresponding The similarity of keyword set in relation table:
By taking the keyword set that questionnaire number is 1 in mapping table as an example, it is assumed that the keyword that questionnaire number is 1 Set includes n keyword, and keyword 1 arrives keyword n, then target critical set of words is included keyword 2, keyword 4, key Target keyword set expansion is then n keyword so that wrapped in target critical set of words by word 6, keyword 8 and keyword 9 Keyword 1 is included to keyword n, wherein the weighted value of keyword not to be covered is set to 0 in target critical set of words, then by problem It is vector that the weighted value of each keyword, which forms a n, in the keyword set that single number is 1, by the target keyword after extending Collection is combined into a n-dimensional vector, then calculates the two vectorial angles, and wherein angle is smaller, represents that similarity is higher.
When the keyword set of multiple questionnaire numbers in angle minimum correspondence list, then these questionnaires are numbered Corresponding keyword set is the highest set of target critical set of words similarity.
Step 430, problem uniprocesser system output Second Problem list, Second Problem list include describing network failure Text message and the corresponding acquisition strategies of the keyword set with finding, acquisition strategies to obtain for diagnostic network therefore The method of the data of barrier.
Specifically, questionnaire feature analysis module stores the corresponding acquisition strategies of the keyword set found to first Second Problem list is obtained on questionnaire is, Second Problem list then is output to questionnaire distributes system, is distributed by questionnaire System is sent to operation maintenance personnel.
When operation maintenance personnel is when having handled the network failure of the first problem list, if being pressed in first problem list during network failure What the instruction according to acquisition strategies was handled, then the questionnaire is deleted, if not handled using acquisition strategies, then in the first problem Diagnosis process, the basic reason of network failure etc. are filled on list, then will fill in complete questionnaire storage to historical problem list In database, when problem uniprocesser system is after the problem of new list is added in detecting historical problem single database, update pair Answer relation table.
It should be noted that in the embodiment of the present application first problem list, Second Problem list, the 3rd questionnaire form can Only to include describing the text message of network failure in difference, such as first problem list, only include using in Second Problem list In the text message acquisition strategies corresponding with the keyword set found of description network failure, the 3rd questionnaire includes using Text message in description network failure and the text message for diagnostic network failure.
Based on same inventive concept, a kind of problem uniprocesser system is additionally provided in the embodiment of the present application, due to the application The problem of in embodiment, the corresponding method of uniprocesser system was the method for the embodiment of the present application process problem list, therefore the application is real The implementation for applying a problem uniprocesser system may refer to the implementation of this method, and overlaps will not be repeated.
As shown in fig. 6, the embodiment of the present application problem uniprocesser system, including interface unit 610 and processing unit 620, In, for interface unit 610 for receiving first problem list, first problem list is questionnaire to be treated, in first problem list Text message including being used to describe network failure;Processing unit 620 is used to determine target critical set of words, target critical word set Conjunction includes at least one keyword, and at least one keyword is for describing the keyword of the text message of network failure;With And according to preset algorithm, from the mapping table of pre-stored keyword set and acquisition strategies, lookup and target critical The highest keyword set of set of words similarity;Interface unit 610 is additionally operable to output Second Problem list, and Second Problem list includes Text message for describing network failure and the corresponding acquisition strategies of the keyword set with finding.
Optionally, processing unit 620 determines to describe at least one keyword set of the text message of network failure; And the weighted value of each keyword at least one keyword set is determined respectively, weighted value is for characterizing keyword for retouching State the significance level in the text message of network failure;And each keyword set at least one keyword set is determined respectively The weighted value of conjunction, the weighted value of keyword set is the sum of weighted value of each keyword in keyword set;Target is determined again Keyword set is combined into the keyword set of the weighted value maximum of keyword set.
Optionally, processing unit 620 determines the power of each keyword at least one keyword set according to following manner Weight values:
For each keyword, however, it is determined that pre-stored keywords database includes keyword, then as follows really Determine the initial weight value of keyword:
Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword;
If it is determined that not including keyword in keywords database, then the initial weight value of keyword is determined as follows:
Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword × criticality weights;
The highest keyword of initial weight value is determined for each keyword set, is adjusted according to following manner each crucial The initial weight value of keyword in set of words, obtains the weighted value of keyword:
Weighted value=initial weight value × (1+ is between weights/keyword and the highest keyword of initial weight value Distance);
Wherein, the word frequency of keyword is the number that keyword occurs in the text message for describing network failure;Frequently Numerous degree weights are coefficient corresponding with the word frequency of keyword;English digital Length Weight is the length with keyword Chinese and English number Corresponding coefficient;It is the distance between keyword and the highest keyword of initial weight value coefficient of correspondence apart from weights.
Optionally, processing unit 620 will not include closing in target critical set of words after definite target critical set of words Keyword in keyword storehouse is stored into keywords database;And the pass in keywords database will not be included in target critical set of words Keyword is stored into mapping table.
Optionally, processing unit 620 prestores the correspondence of keyword set and acquisition strategies according to following manner Table:
According to the text message for being used to describe network failure in the 3rd questionnaire, the keyword set in mapping table is determined It closes;And according to the text message for being used to describe processing network failure in the 3rd questionnaire, determine acquisition strategies;3rd questionnaire The problem of to have completed processing, is single;And keyword set is stored with the correspondence of network failure information collection policy to corresponding In relation table.
It is to be understood that the embodiment of the problem of described above uniprocesser system is only schematical, wherein the conduct The unit that separating component illustrates may or may not be it is physically separate, the component shown as unit can be or Person may not be physical location, you can be located at a place or can also be distributed in multiple network element.It can root Factually border needs to select some or all of module therein realize the purpose of this embodiment scheme.In addition, the application carries In the device embodiment attached drawing of confession, the connection relation between module represents there is communication connection between them, can specifically realize For one or more communication bus or signal wire.Those of ordinary skill in the art without creative efforts, i.e., It is appreciated that and implement.
It should be noted that in this application, interface unit 610 can be realized by input/output interface, processing unit 620 is by handling Device is realized.
As shown in fig. 7, problem uniprocesser system 700 can include processor 710, input/output interface 720, memory 730.Wherein, memory 730 can be used for the program/code pre-installed when problem uniprocesser system 700 is dispatched from the factory, and can also store use Code when processor 710 performs etc..
Wherein, general CPU (Central Processing Unit, central processing unit) may be employed in processor 710, Microprocessor, ASIC (Application Specific Integrated Circuit, application specific integrated circuit) or One or more integrated circuits, for performing relevant operation, to realize technical solution that the embodiment of the present application is provided.
Although problem uniprocesser system 700 shown in Fig. 7 illustrate only processor 710, input/output interface 720 and deposit Reservoir 730, but during specific implementation, it should be apparent to a person skilled in the art that the problem uniprocesser system also includes Other devices necessary to realizing normal operation.Meanwhile according to specific needs, it should be apparent to a person skilled in the art that this is asked The hardware device for realizing other additional functions can also be included by inscribing uniprocesser system.In addition, it should be apparent to a person skilled in the art that The problem uniprocesser system also can be only comprising device or module necessary to realizing the embodiment of the present application, without including Fig. 7 Shown in whole devices.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, above-mentioned program can be stored in a computer read/write memory medium In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, above-mentioned storage medium can be magnetic (Random Access Memory, are deposited at random by disk, CD, ROM (Read-Only Memory, read-only memory) or RAM Store up memory body) etc..
It can be seen from the above:Problem uniprocesser system determines target keyword after first problem list is received Set, then according to preset algorithm, from the mapping table of pre-stored keyword set and acquisition strategies, lookup and mesh The highest keyword set of keyword set similarity is marked, finally exports Second Problem list, Second Problem list includes retouching The text message of network failure and the corresponding acquisition strategies of the keyword set with finding are stated, acquisition strategies are used for obtain The method of the data of diagnostic network failure, first problem list are questionnaire to be treated, and first problem list includes retouching State the text message of network failure, target critical set of words includes at least one keyword, at least one keyword be for The keyword of the text message of network failure is described.This technical solution can receive first due to problem uniprocesser system After questionnaire, first problem list is handled, the Second Problem list for including acquisition strategies is obtained, then exports Second Problem It is single so that operation maintenance personnel can not only see the text message that network failure is described on questionnaire when checking, moreover it is possible to view Acquisition strategies so that operation maintenance personnel can be targetedly gathered based on the acquisition strategies on Second Problem list for diagnostic network The data of failure reduce workload when operation maintenance personnel acquisition is used for the data of diagnostic network failure, so as to improve diagnosis The efficiency of network failure.
It should be understood by those skilled in the art that, the embodiment of the present application can be provided as method, system or computer program production Product.Therefore, the implementation in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the application The form of example.Moreover, the application can be used wherein include the computers of computer usable program code in one or more can With the computer program product implemented on storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) Form.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted Series of operation steps is performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in a box or multiple boxes.
Although the preferred embodiment of the application has been described, those skilled in the art once know basic creation Property concept, then can make these embodiments other change and modification.So appended claims be intended to be construed to include it is excellent It selects embodiment and falls into all change and modification of the application scope.
Obviously, those skilled in the art can carry out the application essence of the various modification and variations without departing from the application God and scope.In this way, if these modifications and variations of the application belong to the scope of the application claim and its equivalent technologies Within, then the application is also intended to comprising including these modification and variations.

Claims (10)

  1. A kind of 1. method of process problem list, which is characterized in that including:
    Problem uniprocesser system receives first problem list, and the first problem list is questionnaire to be treated, and described first Questionnaire includes the text message for describing network failure;
    Described problem uniprocesser system determines target critical set of words, and the target critical set of words includes at least one key Word, at least one keyword are used to describe for described in the keyword of the text message of network failure;
    Described problem uniprocesser system is according to preset algorithm, from the correspondence of pre-stored keyword set and acquisition strategies In table, search and the highest keyword set of target critical set of words similarity, the acquisition strategies are to obtain to examine The method of the data of circuit network failure;
    Described problem uniprocesser system exports Second Problem list, and the Second Problem list includes described being used to describe network failure Text message and the corresponding acquisition strategies of the keyword set with finding.
  2. 2. the method as described in claim 1, which is characterized in that described problem uniprocesser system determines the target critical word set It closes, including:
    Described problem uniprocesser system determines at least one keyword set of the text message for being used to describe network failure;
    Described problem uniprocesser system determines the weighted value of each keyword at least one keyword set respectively, described Weighted value is used to characterize keyword in the significance level in describing the text message of network failure;
    Described problem uniprocesser system determines the weighted value of each keyword set at least one keyword set respectively, The weighted value of the keyword set is the sum of weighted value of each keyword in the keyword set;
    Described problem uniprocesser system determines the keyword for the weighted value maximum that the target critical set of words is keyword set Set.
  3. 3. method as claimed in claim 2, which is characterized in that described problem uniprocesser system determines at least one key The weighted value of each keyword in set of words, including:
    Described problem uniprocesser system is directed to each keyword, however, it is determined that pre-stored keywords database includes the pass Keyword then determines the initial weight value of the keyword as follows:
    Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword;
    Described problem uniprocesser system if it is determined that do not determine then as follows in the keywords database including the keyword The initial weight value of the keyword:
    The length of the word frequency of initial weight value=keyword × frequency weights × keyword × English digital Length Weight × pass Key degree weights;
    Described problem uniprocesser system determines the highest keyword of initial weight value for each keyword set, according to following side Formula adjusts the initial weight value of the keyword in each keyword set, obtains the weighted value of keyword:
    Weighted value=initial weight value × (1+ between weights/keyword and the highest keyword of initial weight value away from From);
    Wherein, the word frequency of the keyword for the keyword described for network failure is described text message in occur Number;The frequency weights are coefficient corresponding with the word frequency of the keyword;The English digital Length Weight for institute State the corresponding coefficient of length of keyword Chinese and English number;It is described apart from weights for the keyword and the initial weight value most The distance between high keyword coefficient of correspondence.
  4. 4. method as claimed in claim 3, which is characterized in that described problem uniprocesser system is in the definite target keyword After set, further include:
    Described problem uniprocesser system is deposited the keyword in the keywords database is not included in the target critical set of words It stores up in the keywords database;
    Described problem uniprocesser system will not include the keyword in the keywords database in the target critical set of words It stores in the mapping table.
  5. 5. the method as described in Claims 1-4 is any, which is characterized in that described problem uniprocesser system is according to following manner Prestore the mapping table of keyword set and acquisition strategies:
    Described problem uniprocesser system determines the correspondence according to the text message for being used to describe network failure in the 3rd questionnaire Keyword set in relation table;And according to being used to describe the text message of diagnostic network failure in the 3rd questionnaire, Determine acquisition strategies;The problem of 3rd questionnaire is has completed processing is single;
    Described problem uniprocesser system stores the correspondence of the keyword set and acquisition strategies to the correspondence In table.
  6. 6. a kind of problem uniprocesser system, which is characterized in that including:
    Interface unit, for receiving first problem list, the first problem list is questionnaire to be treated, and described first asks Topic list includes the text message for describing network failure;
    Processing unit, for determining target critical set of words, the target critical set of words includes at least one keyword, institute State keyword of at least one keyword for the text message for being used to describe network failure;And according to preset algorithm, from In the mapping table of pre-stored keyword set and acquisition strategies, search with the target critical set of words similarity most High keyword set, the acquisition strategies are acquisition for the method for the data of diagnostic network failure;
    The interface unit, is additionally operable to output Second Problem list, and the Second Problem list includes described former for describing network The text message of barrier and the corresponding acquisition strategies of the keyword set with finding.
  7. 7. system as claimed in claim 6, which is characterized in that the processing unit determines target critical set of words, specific to use In:
    Determine at least one keyword set of the text message for being used to describe network failure;And described in determining respectively at least The weighted value of each keyword in one keyword set, the weighted value are used to describe network for characterizing keyword described Significance level in the text message of failure;And each keyword set at least one keyword set is determined respectively Weighted value, the weighted value of the keyword set is the sum of weighted value of each keyword in the keyword set;Again really The fixed target critical set of words is the keyword set of the weighted value maximum of keyword set.
  8. 8. system as claimed in claim 7, which is characterized in that the processing unit determines at least one keyword set In each keyword weighted value, be specifically used for:
    For each keyword, however, it is determined that pre-stored keywords database includes the keyword, then according to following side Formula determines the initial weight value of the keyword:
    Length × English digital Length Weight of the word frequency of initial weight value=keyword × frequency weights × keyword;
    If it is determined that not including the keyword in the keywords database, then the initial power of the keyword is determined as follows Weight values:
    The length of the word frequency of initial weight value=keyword × frequency weights × keyword × English digital Length Weight × pass Key degree weights;
    The highest keyword of initial weight value is determined for each keyword set, and each keyword set is adjusted according to following manner The initial weight value of keyword in conjunction, obtains the weighted value of keyword:
    Weighted value=initial weight value × (1+ between weights/keyword and the highest keyword of initial weight value away from From);
    Wherein, the word frequency of the keyword for the keyword described for network failure is described text message in occur Number;The frequency weights are coefficient corresponding with the word frequency of the keyword;The English digital Length Weight for institute State the corresponding coefficient of length of keyword Chinese and English number;It is described apart from weights for the keyword and the initial weight value most The distance between high keyword coefficient of correspondence.
  9. 9. system as claimed in claim 8, which is characterized in that the processing unit is additionally operable to:
    After the target critical set of words is determined, it will not include in the target critical set of words in the keywords database Keyword store into the keywords database;And it will not include in the target critical set of words in the keywords database Keyword store into the mapping table.
  10. 10. the system as described in claim 6 to 9 is any, which is characterized in that the processing unit is deposited in advance according to following manner Store up the mapping table of keyword set and acquisition strategies:
    According to the text message for being used to describe network failure in the 3rd questionnaire, the keyword set in the mapping table is determined It closes;And according to the text message for being used to describe processing network failure in the 3rd questionnaire, determine acquisition strategies;Described The problem of three questionnaires is have completed processing is single;And the correspondence of the keyword set and acquisition strategies is stored to described In mapping table.
CN201611071663.8A 2016-11-28 2016-11-28 The approaches and problems uniprocesser system of process problem list Pending CN108121716A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109376873A (en) * 2018-09-11 2019-02-22 平安科技(深圳)有限公司 O&M method, apparatus, electronic equipment and computer readable storage medium
CN110287301A (en) * 2019-06-27 2019-09-27 上海华兴数字科技有限公司 Failure consultation method, apparatus and system
CN110690992A (en) * 2019-09-16 2020-01-14 中盈优创资讯科技有限公司 Network cutover abnormity identification method and device
CN110737772A (en) * 2019-10-14 2020-01-31 北京首汽智行科技有限公司 question text processing method
CN111192016A (en) * 2019-12-30 2020-05-22 航天信息股份有限公司广州航天软件分公司 Method and system for handling business step by step
CN112491649A (en) * 2020-11-17 2021-03-12 中国平安财产保险股份有限公司 Interface joint debugging test method and device, electronic equipment and storage medium
WO2022142019A1 (en) * 2020-12-30 2022-07-07 平安科技(深圳)有限公司 Question distribution method and apparatus based on intelligent robot, and electronic device and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101227324A (en) * 2008-01-10 2008-07-23 华为技术有限公司 Fault information gathering method of communication equipment as well as communication equipment and system thereof
CN102708453A (en) * 2012-05-14 2012-10-03 北京奇虎科技有限公司 Method and device for providing terminal fault solution
CN102855369A (en) * 2011-06-30 2013-01-02 上海西门子医疗器械有限公司 Method and system for collecting failure information and medical equipment
CN103473409A (en) * 2013-08-25 2013-12-25 浙江大学 FPGA (filed programmable gate array) fault automatic diagnosing method based on knowledge database
CN105260290A (en) * 2015-09-28 2016-01-20 北京奇虎科技有限公司 Application exception information collection method and apparatus
CN105894203A (en) * 2016-03-31 2016-08-24 国网北京市电力公司 Work order processing method and work order processing device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101227324A (en) * 2008-01-10 2008-07-23 华为技术有限公司 Fault information gathering method of communication equipment as well as communication equipment and system thereof
CN102855369A (en) * 2011-06-30 2013-01-02 上海西门子医疗器械有限公司 Method and system for collecting failure information and medical equipment
CN102708453A (en) * 2012-05-14 2012-10-03 北京奇虎科技有限公司 Method and device for providing terminal fault solution
CN103473409A (en) * 2013-08-25 2013-12-25 浙江大学 FPGA (filed programmable gate array) fault automatic diagnosing method based on knowledge database
CN105260290A (en) * 2015-09-28 2016-01-20 北京奇虎科技有限公司 Application exception information collection method and apparatus
CN105894203A (en) * 2016-03-31 2016-08-24 国网北京市电力公司 Work order processing method and work order processing device

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109376873A (en) * 2018-09-11 2019-02-22 平安科技(深圳)有限公司 O&M method, apparatus, electronic equipment and computer readable storage medium
CN109376873B (en) * 2018-09-11 2023-08-11 平安科技(深圳)有限公司 Operation and maintenance method, operation and maintenance device, electronic equipment and computer readable storage medium
CN110287301A (en) * 2019-06-27 2019-09-27 上海华兴数字科技有限公司 Failure consultation method, apparatus and system
CN110690992A (en) * 2019-09-16 2020-01-14 中盈优创资讯科技有限公司 Network cutover abnormity identification method and device
CN110690992B (en) * 2019-09-16 2022-03-29 中盈优创资讯科技有限公司 Network cutover abnormity identification method and device
CN110737772A (en) * 2019-10-14 2020-01-31 北京首汽智行科技有限公司 question text processing method
CN111192016A (en) * 2019-12-30 2020-05-22 航天信息股份有限公司广州航天软件分公司 Method and system for handling business step by step
CN111192016B (en) * 2019-12-30 2023-12-29 航天信息股份有限公司广州航天软件分公司 Method and system for step-by-step business handling
CN112491649A (en) * 2020-11-17 2021-03-12 中国平安财产保险股份有限公司 Interface joint debugging test method and device, electronic equipment and storage medium
WO2022142019A1 (en) * 2020-12-30 2022-07-07 平安科技(深圳)有限公司 Question distribution method and apparatus based on intelligent robot, and electronic device and storage medium

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Application publication date: 20180605