CN102571403B - The implementation method of general data quality control adapter and device - Google Patents
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Abstract
The invention provides a kind of implementation method and device of general data quality control adapter, described method comprises: extract the attribute possessed by the business processing flow of management and control operation system and handled data, forms physical model collection; List described physical model concentrate each model object the attribute possessed and to this model object and quality of data relevant operational; Set up the incidence relation between described model object by the rule preset, form the exclusive control adapter of certain system; Then by data quality standard open interface, access data quality control platform, realizes the data quality management of this system.The present invention program is by carrying out data quality model combing to different business systems, set up a set of general rule settings template, make the quality of data adapter that can be realized for this system by configuration by management and control operation system of new access, system self character can be utilized to greatest extent, at utmost reduce upgrading work, reduce risk, promote and be worth.
Description
Technical field
The present invention relates to technical field of data processing, particularly relate to a kind of implementation method and device of general data quality control adapter.
Background technology
Along with the development of telecommunication industry, the equipment of telecommunication administration is increasing, the corresponding data of management is needed also to increase in exponential mode, data quality problem becomes increasingly conspicuous, and the requirement of user to communication network quality is more and more higher, in this case, automatically find that network problem will be more and more important.
For supporting the telecommunication supporting network data of telecommunication network management, from producing in each processing procedure of applying whether complete and accurate, whether crucial index is abnormal; Whether relate to the data of operator's examination, in time report, exactly etc. is all the problem day by day obtaining paying close attention to.
Therefore, in the urgent need to a kind of quality of data managing and control system, end-to-end processing procedure comprehensive monitoring can be carried out to the data of operation system, the aspect problems such as automatic discovery data accuracy, integrality, promptness, validity, and by multiple methods such as statistical analysis, association, assessments, degree of depth excavation is carried out to the quality of data, find the question essence place of the quality of data, thus propose quality of data improvement and lifting scheme.
Quality of data managing and control system, comprises quality of data control platform and adapter two parts.Adapter, for gathering the data relevant to operation system, reports control platform, thus control platform is comprehensively all by the data of managing and control system, reaches the comprehensive monitoring to the end-to-end processing procedure of whole communication network.
In available data quality managing and control system, for different by management and control operation system (as voice service network management system, data service network management system, signaling detection system etc.), need to configure different quality of data control adapters according to the feature such as framework, interface, agreement, operation flow of operation system, like this, for online operation system, have larger upgrading cost; Secondly, adapter may need increase New function along with operation system upgrading and transform accordingly, if have influence on operation system interface section during transformation, just need all to transform operation system interface and quality of data managing and control system platform, meeting traffic affecting stability, the transformation cycle is long, cost is large, the benefit also bad assessment of generation; 3rd, existing adapter often needs to depend on each operation system to be provided, and transformation amount and complexity differ, and therefore adaptable interface formulation process complexity is very long, probably finally forms the situation that each side compromises, causes interface requirement not reach the consequence of expectation; And each operation system transforms the cycle, cost differs, assessment lacks accurately, quantitative criteria to cause project to drop into.Given this, general data quality control adapter that just need a kind of unification, that adapt to all operation systems.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind of implementation method of general data quality control adapter, can be adapted to various different from management and control operation system, solve the problem of the ununified general data quality control adapter of prior art.
Present invention also offers a kind of automatic implement device of general data quality control adapter, to ensure said method application in practice.
In order to solve the problem, the invention discloses a kind of implementation method of general data quality control adapter, comprising: extract the attribute possessed by the business processing flow of management and control operation system and handled data, form physical model collection; List described physical model and concentrate the type of all properties of each model object, value range and input mode, and, to the input parameter of this model object and quality of data relevant operational, handling process and output parameter; Set up the incidence relation between described model object by the rule preset, generate general data quality control adapter.Then described adapter is by the quality of data open interface of standard, access data quality control platform.
Preferably, the described method of incidence relation set up between described model object by the rule preset is specially: adopt rule template to set up mode: by the attribute of each model object of input/output sequence typing between described model object and associative operation thereof in the rule template preset, disposable importing institute is relevant, then verifies the complete rule of every bar; Or adopt Custom AppWizard to set up mode: according to attribute and the associative operation thereof of model object described in the typing of rules customization guide, after the rule verification that every bar is complete passes through, then carry out the setting of next rule.
Preferably, new regulation foundation step is also comprised: the service conditions determining the effect of attribute field that the rule name of new regulation, parameter of regularity, rule possess, rule, rale store mode, regular Run Script and rule script.
Preferably, also comprise quality of data management and control adaptable interface testing procedure: test described general data quality control adapter with by the connection of management and control operation system, and, carry out various information interaction by above-mentioned incidence relation, judge the correctness of output information.
Preferably, also comprise intelligent assistant: if rule verification failure, then intelligent assistant can according to regular keyword automatically from empirical data library searching concrete reason and solution, and provide incidence relation editing interface to modify.
Preferably, intelligent assistant can record described incidence relation setting up procedure automatically in experience database; Or, increase or amendment empirical data library information, comprise keyword, keyword is explained and intelligent prompt content.
Preferably, also comprise: the configuration information of described adapter is backed up to predeterminated position; Or the backup information preserved according to described predeterminated position recovers described adapter.
Preferably, described default rule comprises interface mode setting, the setting of data source obtain manner, information analysis rule, the setting of system monitoring point, the incidence relation of control point and the verification content of each control point, wherein: described interface mode arranges and comprises selection communication protocol, interface type, communication port and IP address; Described data source obtain manner arranges the unique identification comprising configuration respective data sources; Described information analysis rule comprises the concrete data object of each class in the message format of described quality of data control platform and data-mapping relation; Described system monitoring point arrange comprise control point title, act on, the information type that possesses and concrete executive mode; The incidence relation of described control point is determined by the input/output relation of the data processing between initialization system control point or orbution; The verification content of described each control point comprises the algorithmic formula of the integrality of data, accuracy, promptness, coincident indicator, if containing without the field mapped in above-mentioned algorithmic formula, then need to add corresponding data object in described data source and set up mapping relations in described information analysis rule.
According to another preferred embodiment of the present invention, also disclose a kind of implement device of general data quality control adapter, comprise physical model extraction unit, unit set up by physical model and unit set up by adapter, wherein: described physical model extraction unit, for extracting the attribute possessed by the business processing flow of management and control operation system and handled data, forms physical model collection; Described physical model is set up unit and is specialized for the physical model collection generated by described physical model extraction unit, list described physical model and concentrate the type of all properties of each model object, value range and input mode, and, to this model object and quality of data associative operation, comprise the input parameter of this operation, handling process and output parameter; Described universal adapter is set up unit and is set up incidence relation between model object that unit lists for setting up described physical model by the rule preset, and is formed and adapts to by the quality of data control adapter of management and control operation system.
Preferably, also comprise new regulation creating unit, for determining the service conditions of the effect of attribute field that the rule name of new regulation, parameter of regularity, rule possess, rule, rale store mode, regular Run Script and rule script.
Preferably, also comprise adapter test cell, for test described general data quality control adapter with by the connection of management and control operation system, and, the incidence relation setting up unit foundation by described universal adapter carries out information interaction, judges the correctness of output information.
Preferably, also comprise intelligent assistant's unit, for judging whether successfully universal adapter sets up the rule verification of unit, if not, then from intelligent helper data library searching concrete reason and solution, for user provides incidence relation editing interface to modify.
Preferably, also comprise experience database maintenance unit, by intelligent assistant, automatically record described universal adapter and set up the process that unit arranges incidence relation; Increase or amendment empirical data library information, comprise keyword, keyword combination, operation or produced problem and explain, solution, example.
Preferably, also comprise data backup restoration unit, for the configuration information of described general data quality control adapter is backed up to predeterminated position; And the backup information preserved according to described predeterminated position recovers described general data quality control adapter configuration file and experience database.
Preferably, described universal adapter is set up unit and is specifically comprised template and set up subelement and/or guide sets up subelement, wherein: described template sets up subelement for providing incidence relation to set up template for user, make user in the rule template preset by the attribute of each model object of input/output sequence typing and associative operation thereof, disposable importing institute is relevant, then verifies the complete rule of every bar; Described guide sets up subelement for providing incidence relation to set up guide for user, makes attribute and the associative operation thereof of model object described in the typing of user's foundation rules customization guide, after the rule verification that every bar is complete passes through, then carries out the setting of next rule.
Preferably, also comprise rules customization guide unit, arrange for interface mode, data source obtain manner is arranged, information analysis rule is arranged, system monitoring point is arranged, the incidence relation of control point is arranged and the verification curriculum offering of each control point, wherein: described interface mode arranges to comprise selects communication protocol, interface type, communication port and IP address; Described data source obtain manner arranges the unique identification comprising configuration respective data sources; Described information analysis rule arranges content and comprises the concrete data object of each class in the message format of described quality of data control platform and data-mapping relation; Described system monitoring point arranges that content comprises control point title, acts on, the information type that possesses and concrete executive mode; The incidence relation of described control point arranges input/output relation or the orbution of the data processing comprised between initialization system control point; The verification curriculum offering of described each control point comprises the computing formula of the integrality of data, accuracy, promptness, coincident indicator, if containing without the field mapped in above-mentioned algorithmic formula, then need to add corresponding data object in described data source and set up mapping relations in described information analysis rule.
Compared with prior art, the present invention has the following advantages:
The preferred embodiment of the present invention is by carrying out data quality model combing to different business systems, set up a set of general setting rule, make the quality of data adapter that can be realized for this system by configuration by management and control operation system of new access, then by data quality standard open interface, access data quality control platform, realizes the quality of data management and control of this operation system; Embodiment of the present invention scheme utilizes system self character to greatest extent, at utmost reduces upgrading work, reduces risk, promotes and is worth; In a further preferred embodiment, also support to a certain degree to become privileged process, namely newly-increased Rulemaking and custom script run, and have greatly expanded adaptive scope especially.
Based on preferred embodiment of the present invention scheme, after the upgrading of management and control operation system, only need suitably to revise this system convention inventory, do not need adaptable interface transformation.
In the further preferred embodiment of the present invention, plug-in type new regulation customization adaptive by wizard-like rule and intelligences combination checking, make rule configuration be easily understood, and proving correctness at any time; The produced problem in user policy customization and proof procedure can be answered online at any time by intelligent assistant, adapter can be driven automatically to select by intelligent memory and associate correlation module, there is very big adaptability and versatility; In addition, experience database constantly can supplement knowledge by user, thus makes intelligent assistant have more powerful support function, makes the intelligent of adaptation carry out evolution voluntarily, can further improve the adaptation ability to different business systems.
Accompanying drawing explanation
Fig. 1 is the implementation method first embodiment flow chart of general data quality control adapter of the present invention;
Fig. 2 is the implementation method second embodiment flow chart of general data quality control adapter of the present invention;
Fig. 3-1 is that the rule of the implementation method specific embodiment of general data quality control adapter of the present invention imports template schematic diagram;
Fig. 3-2 is interface and the data source capability guide schematic diagram of the implementation method specific embodiment of general data quality control adapter of the present invention;
Fig. 3-3 is that the resolution rules of the implementation method specific embodiment of general data quality control adapter of the present invention arranges guide schematic diagram;
Fig. 3-4 is control point and the incidence relation selection guide schematic diagram thereof of the implementation method specific embodiment of general data quality control adapter of the present invention;
Fig. 3-5 is that curriculum offering guide schematic diagram is verified in the control point of the implementation method specific embodiment of general data quality control adapter of the present invention;
Fig. 3-6 is " connected mode rule " checking guide schematic diagrames of the implementation method specific embodiment of general data quality control adapter of the present invention;
Fig. 3-7 is that the new regulation of the implementation method specific embodiment of general data quality control adapter of the present invention creates guide schematic diagram;
Fig. 3-8 is experience storehouse typing guide schematic diagrames of the implementation method specific embodiment of general data quality control adapter of the present invention;
Fig. 3-9 is that the data backup of the implementation method specific embodiment of general data quality control adapter of the present invention arranges interface schematic diagram;
Fig. 3-10 is data restore operation interface schematic diagrames of the implementation method specific embodiment of general data quality control adapter of the present invention;
Fig. 4 is the structured flowchart of implement device one embodiment of general data quality control adapter of the present invention.
Embodiment
For enabling above-mentioned purpose of the present invention, feature and advantage become apparent more, and below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
With reference to Fig. 1, show the flow process of implementation method first embodiment of general data quality control adapter of the present invention, specifically comprise the following steps:
Step S101: extract the attribute possessed by the business processing flow of management and control operation system and handled data, forms physical model collection;
Corresponding to the business processing flow of operation system, analyze the attribute possessed, set up business diagnosis model; Corresponding to the data of the process of operation system, analyze the attribute possessed, set up data model.
Step S102: list the operation that described physical model concentrates all properties of each model object and the relevant with the quality of data of this model object;
Wherein, the attribute of each model object comprises the type of attribute, value range and input mode; The operation relevant with the quality of data of this model object comprises input parameter, handling process and output parameter;
Step S103: set up the incidence relation between described model object by the rule preset, generates quality of data control adapter.
After adapter generates, adapter according to the configuration information of communication connection, connects by management and control operation system automatically, and simultaneously by data quality standard open interface, access data quality control platform, realizes this by the instant quality of data management and control of management and control operation system.
The present embodiment sets up general data quality control adapter based on by the data model of management and control operation system and business diagnosis model, can be adapted to various different from management and control operation system, solve the problem of the ununified general data quality control adapter of prior art, under a set of interface, a kind of operator scheme, the adaptation work can carried out different system becomes production line balance.
Incidence relation between the above-mentioned regular Modling model object by presetting, can adopt rule template to set up mode, Custom AppWizard also can be adopted to set up mode, wherein:
Rule template is set up mode and is specifically comprised: by the attribute of each model object of input/output sequence typing between model object and associative operation thereof in the rule template preset, and disposable importing institute is relevant, then verifies the complete rule of every bar;
Custom AppWizard is set up mode and is specifically comprised: according to attribute and the associative operation thereof of each model object of rules customization guide typing, after the rule verification that every bar is complete passes through, then carry out the setting of next rule.
The new regulation foundation step that the further preferred embodiment of the present invention comprises, comprises the service conditions etc. of the rule name determining new regulation, attribute field that parameter of regularity, rule possess, the effect of rule, rale store mode, regular Run Script and rule script; Can be unknown new system, particularly have and become privileged the system required Run Script is provided, therefore, there is the capable and applicability of stronger easily extensible.
In the further preferred embodiment of the present embodiment, also comprise the step that general data quality control adapter carries out testing: test this general data quality control adapter with by the connection of management and control operation system, and, carry out information interaction by above-mentioned incidence relation and judge the correctness of output information.
In incidence relation process between above-mentioned Modling model object, if rule verification failure, then on-line intelligence assistant is according to regular keyword automatically from information such as empirical data library searching concrete reason, solution, concrete examples, and provides incidence relation editing interface to modify.In addition, in incidence relation process between above-mentioned Modling model object, system can record incidence relation setting up procedure automatically in experience database, or provides the interface of increase, amendment intelligent data library information (comprising keyword, keyword combination, keyword explanation and intelligent prompt content); Based on the intelligent assistant that this experience database engine provides, can be user and offer help at any time in rules customization process, when system goes wrong, provide the analysis of causes and correcting method; By the continuous accumulation of experience database, can be user and more help about system convention formulation and prompting are provided, also can accumulate the requirement source as system upgrade transformation; In deployment, the various rule configuration of certain system change more new capital automatic Memory warehouse-in or file, dispose new engine time, only need by Ku Biaonei perhaps configuration file copy, do not need again to be configured.
In addition, also the configuration information of the adapter of this system can be dumped to place of safety, after causing system crash when breaking down, refitting system, and provide intelligent prompt to recover related data.
Because the present embodiment scheme can be adapted to various different from management and control operation system, set of system can be just that numerous operation system generates different adaptable interface according to rule, adapter upgrade generally only needs some rule change or increase, therefore, in implementation process, the cycle required for new operation system accessed is short, cost is low, risk is little, instant effect.Particularly adapter upgrade direction is clear and definite, and have the unified adaptation model from improving ability, different business systems can be made to merge rapidly, can avoid a large amount of negotiations, cooperating, and can avoid a large amount of duplication of labour and useless work, the efficiency of management is improved.
With reference to Fig. 2, show the flow process of implementation method second embodiment of general data quality control adapter of the present invention, in the preferred embodiment, be described for certain communication traffic data acquisition system by management and control operation system, be about to be abstracted into business model and data model by the operation system of management and control according to the rule preset.Its business model is by the operation flow of managing and control system, in data acquisition system, operation flow comprises: be connected to collected object, judge whether data source is ready to, gather, resolve, calculate or conversion, the steps such as warehouse-in, when Modling model, each step is conceptualized as several attributes that business model comprises, obtaining each attribute information is exactly its associative operation (namely to the method for operation of each step), message structure required for attribute information, corresponding field implication, and required for the process carried out.The content of its data model and data acquisition, comprise performance and resource data, the attribute that these data all have comprises many types (traffic, transmission, rotating ring, data, signaling detection etc.), affiliated data Layer (data active layer, acquisition layer, gather layer etc.), data type (performance, resource, alarm, knowledge, group single etc.), NE type (omc, bsc, msc etc.), the time (granularity), geography, index (cutting off rate etc.) etc., concrete method comprises check data integrity, accuracy, promptness, traceability etc.Therefore quality of data rule, namely the business model in system and data model objects instantiation, be model and give actual value, comprise and set up rule name (as rule: unified image data active layer performance data omc city, the quality of data management and control of the performance data illustrated unified acquisition system Zhong Mou city omc network element data active layer), rules properties (the various dimensions of time, type, parameter, Information Field Format etc.), regular associative operation (method of operation name, input, output, process etc.).The implementation method flow process of this quality of data management and control adaptable interface specifically comprises:
Step S201: carry out model combing to by the business diagnosis model of management and control operation system and data model, forms physical model set;
Model carding process specifically comprises: first choose the operation system that will access, data model (business characteristic and the attributes possessed of data) two aspects for its business diagnosis model (the key point order of business processing flow and content) and process are refined, the set of the attribute that acquisition physical model object possesses and method.
The rule that namely the business diagnosis model of this communication service data acquisition system and data model are preset comprises the verification content etc. of interface protocol setting, the setting of data source obtain manner, information analysis rule, the setting of crucial processing links-system monitoring point, the incidence relation (ordinal relation, operation relation etc.) of control point and each control point, wherein:
Interface mode protocol comprises: select communication protocol and interface type, as data flow, file, database, and, concrete communication port, the information required for exact connect ion such as IP address;
The setting of data source obtain manner comprises: how to distinguish original Various types of data with unique identification, the unique identification form of configuration data file, and the unique identification form according to configuration obtains corresponding data source;
Information analysis rule, to the resolution rules of the concrete data object of each class, distinguish with unique identification, preserve in systems in which with xml document form, comprise and how with unique identification difference (as information type), original Various types of data to be resolved, form consolidation form, send to quality of data control platform, information analysis rule itself needs the data object attribute human configuration field mappings according to practical application, namely the message format of the data source obtained in quality of data managing and control system, make the message format in data source consistent with the message format in quality of data managing and control system,
The setting of the crucial processing links that system has-system monitoring point comprises information type, the specifically executive mode etc. monitoring and call the roll, act on, possess;
The incidence relation of control point passes through the input/output relation of the data processing between initialization system control point, or orbution is determined;
The verification content of each control point support comprises: the algorithmic formula of the indexs such as integrality, accuracy (reasonability), promptness, consistency (fluctuation), algorithmic formula can be carried out human configuration by managing and control system to data integrity, accuracy, promptness, conforming check method according to different, and each subitem in formula is all in the sets of fields after mapping through information analysis rule.If wanting the field contained in formula without mapping, needing in data source, add corresponding data object and mapping in information analysis rule.
Step S202: to above-mentioned physical model aggregation physics and chemistry (exporting as XML file or extended formatting by above-mentioned physical model), lists all properties of each model object and the operation (comprise checking integrality, accuracy etc.) relevant with the quality of data to this model object;
The physical model collection refined by step S201 is physico, lists the attribute type of each model object, value range and input mode; The operation relevant with the quality of data to this model object comprises input parameter, handling process, output parameter (or return value type) etc.
Step S203: judge that above-mentioned model object is the need of new regulation? if so, S204 is gone to step; Otherwise, go to step S205;
When being undertaken upgrading or transforming by managing and control system, if data model and business model change, then need again to carry out combing on original model basis, make corresponding amendment.
Step S204: the service conditions creating new regulation and rule script;
This preferred embodiment scheme, the not enough situation of existing rule may be there is to unknown system, namely may there is some particularization Rule section in monitored operation system, this preferred embodiment provides newly-increased rule settings scheme, becoming privileged script (needing in page typing script name, script operating path, parameter, script function etc.) by running, generating the function of the special requirement of some system, this particularization script needs secondary development, accesses existing universal adapter as plug-in unit.
Above-mentioned newly-increased rule settings scheme is specially: provide one to become privileged script runnable interface (rule-making interface) by interface, interface property comprises rule name, regular implication, rule fill order and parameter (namely becoming privileged script), script runs the rules results form generating and require, script runnable interface provides script to classify, dissimilar script (such as data source, information type, control point information or newly-increased rule etc.) have difference to require form, the part also as this adaptable interface after generation.
Step S205: according to Rule Wizard or in rule template the attribute of typing model object and associative operation thereof, and the complete rule of every bar to be verified;
This preferred embodiment scheme provides two kinds of mode generation system proprietary adapters: one is to provide quality of data rule and imports template, the physical model formed in step S202 is required entry information according to rule template, by disposable for rule importing, then the complete rule of every bar is verified, if authentication failed, intelligence assistant can provide concrete reason and solution, and provides rule editing interface to improve;
The another kind of wizard-like rules customization page provided according to intelligent adaptation, user fills in step by step, and this process often completes a complete rule and just can check, and after being verified, then carries out the setting up procedure of next rule.
In addition, in above-mentioned proprietary adapters production process, the details of generative process are recorded in experience database by system automatically, as the reference of later adaptable interface upgrading.
Step S206: judge that whether above-mentioned rule verification successful? if so, S208 is gone to step; Otherwise, go to step S207;
Step S207: according to the prompting amendment correlation model object of intelligent assistant, after carrying out rule verification, go to step S206;
Step S208: test data quality control adapter with by the connection of management and control operation system, and judge by the correctness of above-mentioned incidence relation interactive information;
The principle that test realizes is exactly this adaptable interface and actual in the connection of management and control operation system, and carries out information interaction according to rule settings, obtains feedback result display, and then system be correctly or mistake according to rule based judgment.
Step S209: the configuration information of quality of data management and control adaptable interface is backed up to predeterminated position;
In this preferred embodiment scheme; all adaptation datas can timing unloading be file; backup to other places of safety; once occur extremely to cause system crash or database corruption; after then reinstalling native system next time; intelligence assistant understands automatic-prompting and recovers relevant setting, and user selects the path of backing up.
In addition, user utilizes such scheme to carry out in rule-making process, if when having a problem to attribute or its associative operation (method), can ask for help to intelligent assistant (according to the diverse location keyword of Different Rule page, or key combination associates); By keyword or keyword combination, different themes can also be described.For the mistake occurred in default and test, intelligent assistant provides explanation and correcting method according to error-critical word or numbering.As, support after each rule settings is complete to test, interface provides " test " button, can complete test, if unsuccessfully, return concrete failure result.As connection failure, data source obtain unsuccessfully, resolve unsuccessfully, the failure of control point acquisition of information, script run unsuccessfully etc.If the help of user to intelligent assistant is not satisfied, can by good solution, example or typing experience database of improving one's methods, thus make intelligent assistant can provide better help.Above-mentioned entry information must be undertaken by the step preset and form, comprise and select information classification, the rule selecting association or module name, help purport that selection will provide (answer questions, example, solution), then according to the above-mentioned information of typing form typing.
In the preferred embodiment, the information such as intelligent assistant's information content comprises keyword, keyword is explained, problem promises, solution, illustrative example.
After all customization work completes, system just carries out assembly working automatically, generates the functions of modules that unified interface mode is connected with quality of data control platform with message interchange format.After a complete adapter through checking generates, all configuration informations solidify storage automatically, when disposing new equipment, only need to be sent to designated equipment catalogue by interface by long-range for the bag of generation, startup optimization gets final product (because regular inventory writes configuration, program reads and configures).
Below, for certain communication traffic data acquisition system, illustrate the implementation procedure of quality of data control adapter of the present invention:
First, to monitored operation system, namely the business diagnosis model of this data acquisition system and data model carry out model combing, form physical model set.
The business model of monitored operation system comprises performance data collection flow process and resource data acquisition flow process, wherein:
It is present stage that performance data collection flow process comprises acquisition phase, aggregation stages and calculating from front to back; For file type data source, acquisition phase comprises from key points such as OMC acquisition performance file, resolution file, initial data warehouse-in, data calculating; For the data source of database type, acquisition phase comprises from key point such as the write of OMC database reading initial data acquisition database, data calculating etc.; The key points such as aggregation stages comprises net synchronization capability storehouse, framework gathers, business hours geography gathers;
Resource data acquisition flow process comprises acquisition phase, aggregation stages from front to back; For file type data source, acquisition phase comprises from key points such as OMC Gains resources file, resolution file, initial data warehouse-in, data calculating write resources banks; For the data source of database type, acquisition phase comprises from key points such as OMC database reading initial data write acquisition database, data calculating write resources banks; Aggregation stages comprises net synchronization capability storehouse, provide key points such as the associations of performance.
Comprise each stage and key point thereof to the control point of above-mentioned operation flow, monitor control index and check requirements are see table 1.
The monitor control index (KPI) of table 1, monitored operation system and check requirements
The data model of monitored operation system comprises by the many types webmaster of managing and control system name, access, the data Layer possessed, the data type possessed, geography dimensionality, NE type dimension, index dimension, manufacturer's dimension, time dimension, verification dimension, monitoring dimension and self-defined dimension, and the data type of data model and the objectification of correspondence thereof describe see table 2.
The data type of the data model of table 2, monitored operation system and the objectification of correspondence thereof describe
Secondly, by physico for above-mentioned physical model, by above-mentioned business model and data model objects instantiation.
Complete data flow represents and comprises the management and control point set that a group has critical order relation, management and control point comprise verify task definition, verify content acquisition, verify task management, verify result present, verify the key elements such as results abnormity notice, verification object comprises storage mode, data pick-up condition, verifies attribute, verification cycle, access mode etc., verification object attribute comprises professional dimension (traffic, data, transmission, dynamic environment, signaling detection etc.), data dimension (resource, performance, alarm, parameter etc.), data analysis layer dimension (data active layer, acquisition layer, computation layer, gather layer, form layer, province of portion interface reports layer), data check function dimension (integrality, reasonability, consistency, promptness, traceability), Mission Monitor dimension (data processing process, finger daemon, flow to monitoring), control point order (is progressively consumed according to producing data from data, order is divided into 1, 2, 3, 4...), the condition dimension verified and monitor is (geographical, manufacturer, NE type, OMC, time, table, index) and relevant detailed description (interface mode, interface message describes, this some business effect etc.).
Then, import attribute and the associative operation thereof of template typing model object according to Rule Wizard or rule, and the complete rule of every bar is verified, wherein:
Template way is imported for rule, with reference to shown in Fig. 3-1, " traffic network management system-acquisition layer " item wherein can be selected, import corresponding rule, complete the implementation procedure of general data quality control adapter.
For Rule Wizard mode, its process mainly comprises interface and data source capability (shown in Fig. 3-2), resolution rules is arranged (shown in Fig. 3-3), and control point and incidence relation thereof are selected (shown in Fig. 3-4), curriculum offering (shown in Fig. 3-5) etc. is verified in control point;
The operation system information that above-mentioned resolution rules comprises, verification result, monitored results, measurement scheme and verification threshold value etc. are see table 3.
The XML message structure of table 3, certain communication traffic system
XML file example is as follows:
<？xmlversion＝′1.0′encoding＝′GB2312′？>
<dqmcp>
<besystem>1</besysem>
<msg_type>1110</msg_type>
<unique_id>0</unique_id>
<major_version>5</major_version>
<minor_version>20</minor_version>
<send_time>2010-06-0908:03:51</send_time>
<profession_id>1</profession_id>
<sub_professionid>1</sub_professionid>
<datalayer_id>1</datalayer_id>
<datatype_id>1</datatype_id>
<scan_start_time>2010-12-0906:00:00</scan_start_time>
<scan_stop_time>2010-12-0907:00:00</scan_stop_time>
<netype_id>100</netype_id>
<omc_id>44011(nokia4401omc_4401)</omc_id>
<checkoption_id>1</checkoption_id>
<table>op_eri_ios</table>
<vendor_id>1</vendor_id>
<version>V1.0</version>
<result></result>
<force_flag>1</force_flag>
</dqmcp>
The verification content (KPI) that each control point is supported is described as follows:
Integrality: comprise attribute field integrality, association integrality (performance configuration data consistency) in the integrality of record number, every bar record; Recording quantity complete is that whether normal acquisition is to network management data storehouse for verification resource, with in database historical data as comparing reference point, require that data are consistent with reference point on the order of magnitude, allow fluctuation quantity scope N% (N% can establish, and needs to be provided separately according to NE type); Attribute field integrality refers to that the determinant attribute of network element can not for empty; Also the integrity demands of content field in number and signaling should be there is for signaling; Association integrality refers to that certain class data and such data be associated together compare, with wherein a kind of data type be as the criterion judge another kind of data record whether complete (as in voice network by performance data and resource data contrast, find differences, can take resource data as reference, check the integrality of performance data).
Accuracy (reasonability): achievement data setting threshold, carries out according to threshold value judgement of crossing the border.
Promptness: under the processed requirement of guarantee data integrity, in the display links processing time, computing time is poor; Namely the ratio that native system requires the complete data encasement time to be no more than threshold value prepares promptness rate is 100%.
Consistency (fluctuation): cardinal index is according to time dependent trend, whether consistent with historical variations trend (quantity rank), mainly through verifying the fluctuation of data compared with the history reference point data of setting of time point, the threshold values and setting is fluctuated accordingly, to check unusual fluctuations.
Traceability: the index that examine exists index algorithmic formula and corresponding base values data;
Data task is monitored: monitor data job name, treatment conditions, task is initial, the end time, the present situation, if failure, provide unsuccessfully concrete reason;
Resident Process is monitored: process name, start-up time, current state, resource occupation are (as CPU, the occupation condition such as internal memory), process effect, user clicks and checks that details can the log information that runs of process of specifically checking, if exception, provide abnormal concrete reason.
For rule verification, " beginning self-inspection " button by user interface checks that whether rule is arranged correct, if incorrect, provides error reason.With reference to Fig. 3-6, show the schematic diagram of this specific embodiment " connected mode rule ".
In the implementation procedure of above-mentioned quality of data control adapter, if this system has special part, then one is provided to become privileged script runnable interface (rule-making interface) by the interface shown in Fig. 3-7, its attribute comprises rule name, regular implication, and rule performs row and parameter (namely becoming privileged script).Script runs the rules results form generating and require, script runnable interface provides script to classify, dissimilar script (such as data source, information type, control point information or newly-increased rule etc.) have difference to require form.
In above-mentioned rule settings process, if run into query, or go wrong, can ask for help directly to intelligent assistant, intelligent assistant can provide example or suggestion solution; If user is not satisfied to above-mentioned help, can by after system investigation, by good solution, example or typing experience storehouse engine of improving one's methods, when like this, others uses, intelligent assistant just can provide better help.As shown in figures 3-8, in the Input Process in experience storehouse, a series of keyword can be selected, then problematic phenomenon, solution is write, recommendation on improvement etc., afterwards, intelligence assistant just according to these keywords or its combination, can obtain corresponding information display to user automatically from experience storehouse.Wherein, above-mentioned serial keyword comprises by managing and control system name, professional webmaster, data Layer, data type etc.; The information content needs form typing on request, comprises selecting information classification, selecting rule not according to then associating or module name, and the help purport selecting to provide (answer questions, example, solution), then according to specific format typing.
In addition, this preferred embodiment additionally provides data backup/restore funcitons, can timing by data conversion storage to place of safety, the collapse once break down, as there is the situations such as place equipment collapse, database corruption, then, after reinstalling native system, intelligent assistant can point out and recover, user only needs the problem making unloading, and system is recovered automatically.For data backup, as shown in figs. 3-9, can select back up initial time, by managing and control system, the content that back up, the information such as the time interval of backup, system can at regular intervals automated back-up information to assigned address; For date restoring, contrary with above-mentioned steps, as shown in figs. 3-10, select backup time period and by managing and control system, system just can arrive assigned address obtaining information and recover.
For aforesaid each embodiment of the method, simple in order to describe, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or perform simultaneously.Secondly, those skilled in the art also should know, said method embodiment all belongs to preferred embodiment, and involved action and module might not be that the present invention is necessary.
With reference to Fig. 4, show the structured flowchart of implement device one embodiment of general data quality control adapter of the present invention, specifically comprise physical model extraction unit 41, unit 42 set up by physical model and unit 43 set up by adapter, wherein:
Physical model extraction unit 41, for extracting the attribute possessed by the business processing flow of management and control operation system and handled data, forms physical model collection;
Physical model is set up unit 42 and is specialized for the physical model collection generated by described physical model extraction unit 41, list described physical model and concentrate the type of all properties of each model object, value range and input mode, and, input parameter, handling process and the output parameter relevant with operation of this model object;
Adapter is set up unit 43 and is set up incidence relation between model object that unit 42 lists for setting up physical model by the rule preset, and forms quality of data control adapter.
Above-mentioned adapter is set up unit 43 and is specifically comprised template and set up subelement 43-1 and guide sets up subelement 43-2, template sets up subelement 43-1 for providing incidence relation to set up template for user, make user in the rule template preset by the attribute of each model object of input/output sequence typing between model object and associative operation thereof, disposable importing institute is relevant, then verifies the complete rule of every bar; Guide sets up subelement 43-2 for providing incidence relation to set up guide for user, makes attribute and the associative operation thereof of model object described in the typing of user's foundation rules customization guide, after the rule verification that every bar is complete passes through, then carries out the setting of next rule.
In the further preferred embodiment of the present embodiment, also comprise:
New regulation creating unit 44: for determining the service conditions of the effect of attribute field that the rule name of new regulation, parameter of regularity, rule possess, rule, rale store mode, regular Run Script and rule script;
Adaptable interface test cell 45: for test all-purpose quality of data control adapter and by the connection of management and control operation system, and the incidence relation setting up unit 43 foundation by adapter carries out information interaction, judges the correctness of output information;
Intelligence assistant unit 46: for judging whether successfully adapter sets up the rule verification of unit 43, if not, then from empirical data library searching concrete reason, solution and example, for user provides incidence relation editing interface to modify;
Experience database maintenance unit 47: by intelligent assistant's unit 46, the process that unit 43 arranges incidence relation set up by record adapter automatically; And, increase or amendment empirical data library information, comprise keyword, keyword combination, operation or produced problem and explain, solution, the contents such as example;
Data backup restoration unit 48: for the configuration information of quality of data control adapter is backed up to predeterminated position; And the backup information preserved according to predeterminated position recovers described quality of data control adapter;
Rules customization guide unit 49, arranges for interface mode, data source obtain manner is arranged, information analysis rule is arranged, system monitoring point is arranged, the incidence relation of control point is arranged and the verification curriculum offering of each control point, wherein:
Interface mode arranges to comprise selects communication protocol, interface type, communication port and IP address;
Data source obtain manner arranges the unique identification comprising configuration respective data sources;
Information analysis rule arranges content and comprises the concrete data object of each class in the message format of described quality of data control platform and data-mapping relation;
System monitoring point arranges that content comprises control point title, acts on, the information type that possesses and concrete executive mode;
The incidence relation of control point arranges input/output relation or the orbution of the data processing comprised between initialization system control point;
The verification curriculum offering of each control point comprises the computing formula of the integrality of data, accuracy, promptness, coincident indicator, if containing without the field mapped in above-mentioned algorithmic formula, then need to add corresponding data object in described data source and set up mapping relations in described information analysis rule.
It should be noted that, said apparatus embodiment belongs to preferred embodiment, and involved unit and module might not be that the present invention is necessary.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.For device embodiment of the present invention, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
Above the implementation method of a kind of general data quality control adapter provided by the present invention and device are described in detail, apply specific case herein to set forth principle of the present invention and execution mode, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (14)
1. an implementation method for general data quality control adapter, is characterized in that, comprising:
Extract the attribute possessed by the business processing flow of management and control operation system and handled data, form physical model collection;
List described physical model and concentrate the type of all properties of each model object, value range and input mode, and, to the input parameter of this model object and quality of data relevant operational, handling process and output parameter;
Set up the incidence relation between described model object by the rule preset, generate general data quality control adapter;
The described method of incidence relation set up between described model object by the rule preset is specially:
Rule template is adopted to set up mode:
By the attribute of each model object of input/output sequence typing between described model object and associative operation thereof in the rule template preset, disposable importing institute is relevant, then verifies the complete rule of every bar;
Or adopt Custom AppWizard to set up mode:
According to attribute and the associative operation thereof of model object described in the typing of rules customization guide, after the rule verification that every bar is complete passes through, then carry out the setting of next rule.
2. the method for claim 1, is characterized in that, also comprises new regulation foundation step:
Determine the service conditions of the effect of attribute field that the rule name of new regulation, parameter of regularity, rule possess, rule, rale store mode, regular Run Script and regular Run Script.
3. the method for claim 1, is characterized in that, also comprises quality of data management and control adaptable interface testing procedure:
Test described general data quality control adapter with by the connection of management and control operation system, and, carry out various information interaction by above-mentioned incidence relation, judge the correctness of output information.
4. method as claimed in claim 3, is characterized in that, also comprise intelligent assistant:
When rule verification failure, for according to regular keyword automatically from empirical data library searching concrete reason and solution, and provide incidence relation editing interface to modify.
5. method as claimed in claim 4, is characterized in that, also comprise:
Intelligence assistant can record described incidence relation setting up procedure automatically in experience database;
With
Increase, revise empirical data library information, the information content of intelligent assistant comprises regular keyword, regular keyword is explained and intelligent prompt content.
6. the method for claim 1, is characterized in that, also comprises:
The configuration information of described adapter is backed up to predeterminated position; With, the backup information preserved according to described predeterminated position recovers described adapter.
7. the method for claim 1, it is characterized in that, described default rule comprises interface mode setting, the setting of data source obtain manner, information analysis rule, the setting of system monitoring point, the incidence relation of control point and the verification content of each control point, wherein:
Described interface mode arranges to comprise selects communication protocol, interface type, communication port and IP address;
Described data source obtain manner arranges the unique identification comprising configuration respective data sources;
Described information analysis rule comprises the concrete data object of each class in the message format of described quality of data control platform and data-mapping relation;
Described system monitoring point arrange comprise configuration monitoring point title, act on, the information type that possesses and concrete executive mode;
The incidence relation of described control point is determined by the input/output relation of the data processing between initialization system control point or orbution;
The verification content of described each control point comprises the algorithmic formula of the integrality of data, accuracy, promptness, coincident indicator, if containing without the field mapped in described algorithmic formula, then need to add corresponding data object in described data source and set up mapping relations in described information analysis rule.
8. an implement device for general data quality control adapter, is characterized in that, comprises physical model extraction unit, unit set up by physical model and unit set up by adapter, wherein:
Described physical model extraction unit, for extracting the attribute possessed by the business processing flow of management and control operation system and handled data, forms physical model collection;
Described physical model is set up unit and is specialized for the physical model collection generated by described physical model extraction unit, list described physical model and concentrate the type of all properties of each model object, value range and input mode, and, to the input parameter of this model object and quality of data associative operation, handling process and output parameter;
Described adapter is set up unit and is set up incidence relation between model object that unit lists for setting up described physical model by the rule preset, and is formed and adapts to by the quality of data control adapter of management and control operation system;
Described adapter is set up unit and is specifically comprised template and set up subelement and guide sets up subelement, wherein:
Described template sets up subelement for providing incidence relation to set up template for user, make user in the rule template preset by the attribute of each model object of input/output sequence typing and associative operation thereof, disposable importing institute is relevant, then verifies the complete rule of every bar;
Described guide sets up subelement for providing incidence relation to set up guide for user, makes attribute and the associative operation thereof of model object described in the typing of user's foundation rules customization guide, after the rule verification that every bar is complete passes through, then carries out the setting of next rule.
9. device as claimed in claim 8, it is characterized in that, also comprise new regulation creating unit, for determining the service conditions of the effect of attribute field that the rule name of new regulation, parameter of regularity, rule possess, rule, rale store mode, regular Run Script and regular Run Script.
10. device as claimed in claim 8, it is characterized in that, also comprise adapter test cell, for test described general data quality control adapter with by the connection of management and control operation system, and, the incidence relation setting up unit foundation by described adapter carries out information interaction, judges the correctness of output information.
11. devices as claimed in claim 8, is characterized in that, also comprise intelligent assistant's unit, for judging whether successfully adapter sets up the rule verification of unit, if not, then from intelligent helper data library searching concrete reason and solution, for user provides incidence relation editing interface to modify.
12. devices as claimed in claim 8, is characterized in that, also comprise experience database maintenance unit, by intelligent assistant, automatically record described adapter and set up the process that unit arranges incidence relation; Increase, revise empirical data library information, the information content of intelligent assistant comprises keyword, keyword combination, operation, produced problem explanation, solution, example.
13. devices as claimed in claim 8, is characterized in that, also comprise data backup restoration unit, for the configuration information of described general data quality control adapter is backed up to predeterminated position; And the backup information preserved according to described predeterminated position recovers described general data quality control adapter configuration file and experience database.
14. devices as described in one of claim 8 to 13, it is characterized in that, also comprise rules customization guide unit, arrange for interface mode, data source obtain manner is arranged, information analysis rule is arranged, system monitoring point is arranged, the incidence relation of control point is arranged and the verification curriculum offering of each control point, wherein:
Described interface mode arranges to comprise selects communication protocol, interface type, communication port and IP address;
Described data source obtain manner arranges the unique identification comprising configuration respective data sources;
Described information analysis rule arranges to comprise and arranges the concrete data object of each class in the message format of described quality of data control platform and data-mapping relation;
Described system monitoring point arrange comprise control point title be set, act on, the information type that possesses and concrete executive mode;
The incidence relation of described control point arranges input/output relation or the orbution of the data processing comprised between initialization system control point;
The verification curriculum offering of described each control point comprises the algorithmic formula of the integrality of setting data, accuracy, promptness, coincident indicator, if containing without the field mapped in above-mentioned algorithmic formula, then need to add corresponding data object in described data source and set up mapping relations in described information analysis rule.
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Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10013414B2 (en) * | 2014-08-20 | 2018-07-03 | Futurewei Technologies, Inc. | System and method for metadata enhanced inventory management of a communications system |
| CN105573224B (en) * | 2014-10-08 | 2019-11-19 | 深圳力维智联技术有限公司 | Monitoring method, apparatus and system based on abstract model |
| CN105824870A (en) * | 2016-01-15 | 2016-08-03 | 优品财富管理有限公司 | Classification and quality inspection method and system based on verification rules |
| CN107222351A (en) * | 2017-06-29 | 2017-09-29 | 济南浪潮高新科技投资发展有限公司 | A kind of analysis method of the network equipment quality of data |
| CN107390662B (en) * | 2017-08-29 | 2019-09-17 | 清华大学 | Industrial monitoring method and device based on monitored object model |
| CN107748775A (en) * | 2017-10-17 | 2018-03-02 | 上海计算机软件技术开发中心 | A kind of data governing system based on the quality of data |
| CN108268997A (en) * | 2017-11-23 | 2018-07-10 | 国网陕西省电力公司经济技术研究院 | A kind of electricity grid substation quality of data wire examination method |
| CN107948309A (en) * | 2017-12-15 | 2018-04-20 | 神思电子技术股份有限公司 | A kind of integrated management method and system of the server resource based on Restful API |
| CN108595563A (en) * | 2018-04-13 | 2018-09-28 | 林秀丽 | A kind of data quality management method and device |
| CN110611576B (en) * | 2018-06-14 | 2023-05-09 | 亿阳信通股份有限公司 | Data quality monitoring method, device, equipment and storage medium |
| CN110795302A (en) * | 2018-08-02 | 2020-02-14 | 北京嘀嘀无限科技发展有限公司 | Data monitoring method, data monitoring system, computer device and storage medium |
| CN109933907B (en) * | 2019-03-14 | 2023-10-20 | 北京五维星宇科技有限公司 | Method and device for establishing equipment management service model |
| CN110930069A (en) * | 2019-12-10 | 2020-03-27 | 航天新长征大道科技有限公司 | Data acquisition and packaging method and system, readable storage medium and computer |
| CN111858646B (en) * | 2020-07-21 | 2023-11-07 | 国网浙江省电力有限公司营销服务中心 | Electric energy meter quality data format checking method and system |
| CN111885180B (en) * | 2020-07-28 | 2023-06-20 | 海尔优家智能科技（北京）有限公司 | Message issuing method and device |
| CN113469559A (en) * | 2021-07-19 | 2021-10-01 | 广东电网有限责任公司 | Quality bit design and display method and system based on data quality inspection |
| CN113656139A (en) * | 2021-08-27 | 2021-11-16 | 上海云轴信息科技有限公司 | Interface rule adding method and equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101197876A (en) * | 2006-12-06 | 2008-06-11 | 中兴通讯股份有限公司 | Method and system for multi-dimensional analysis of message service data |
| CN101409643A (en) * | 2008-11-24 | 2009-04-15 | 北京中创信测科技股份有限公司 | Method, apparatus and corresponding system for analyzing telecom network modeling |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101162385A (en) * | 2006-10-13 | 2008-04-16 | 鸿富锦精密工业（深圳）有限公司 | Managing and controlling system for cable use |
-
2010
- 2010-12-31 CN CN201010617052.5A patent/CN102571403B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101197876A (en) * | 2006-12-06 | 2008-06-11 | 中兴通讯股份有限公司 | Method and system for multi-dimensional analysis of message service data |
| CN101409643A (en) * | 2008-11-24 | 2009-04-15 | 北京中创信测科技股份有限公司 | Method, apparatus and corresponding system for analyzing telecom network modeling |
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Effective date of registration: 20180801 Address after: 100093 Haidian District, Haidian District, Xing Shi Kou Road, No. 1 20302, 20302 Patentee after: Beijing BOCO Inter-Telecom Technology Co., Ltd. Address before: 150090 1 building, hi tech Development Zone, Songshan Road, Nangang District, Harbin, Heilongjiang. Patentee before: Yiyang Xintong Co., Ltd. |