CN103269290B - The method and apparatus of Design case based storehouse intellectual analysis Network Abnormal - Google Patents
The method and apparatus of Design case based storehouse intellectual analysis Network Abnormal Download PDFInfo
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Abstract
The invention discloses the method for a kind of Design case based storehouse intellectual analysis Network Abnormal, comprising: set up event composition rule according to network problem feature, resulting anomaly event; Event composition rule at least comprises: set up migrating and the affair character of anomalous event between state machine, state machine; According to the problematic phenomenon of network data analysis anomalous event, export the problem types and reason description that judge; Problem types according to the anomalous event determined generates anomalous event case and is added in case library, anomalous event case is pushed to the analysis of Optimization analyses system keeps track.The invention also discloses the device of a kind of Design case based storehouse intellectual analysis Network Abnormal.Adopt scheme disclosed in this invention, alleviate the workload optimizing engineer, improve operating efficiency on the whole, and can quick position be conducive to and solve network problem, solidification, succession also shared network optimization process experience, thus achieve the maximum using of resource.<!--1-->
Description
Technical field
The present invention relates to wireless communication technology field, be related specifically to the method and apparatus of a kind of Design case based storehouse intellectual analysis Network Abnormal.
Background technology
General Promotion network quality, promoting client perception is the long-term target of the network optimization, and is the important step of network optimization by test data and according to test result analysis anomalous event, addressing network problems, diagnose network faults, the measure of proposing a plan.But along with the rapid expansion of network size, the development in pluralism of network element and testing equipment, the test data that we face more diversified (comprising the variation of testing equipment, file type and test event), cause the difficulty of data analysis and management more arduous, manual type cannot meet the Optimization analyses demand of several data, multiple dimension far away.Simultaneously, depositing, call and utilizing of event case also has a serious limitation, owing to lacking and GIS(GeographicInformationSystem, GIS-Geographic Information System) effective combination, thus can not accomplish temporally, the various dimensions such as space and problem types carry out adding up and calling; Further, the Closed loop track due to problem points is only confined to simple question investigation and repetition measurement is followed the tracks of, and can not accomplish organically blending and then being analyzed judgement of account of the history and reality.
Current adopted way, due to test data variation, mass data is difficult to abundant digging utilization, causes a large amount of anomalous events to be difficult to grouping, sorts out and carry out the analysis of causes, cannot catch the real subject matter existed; The manual analysis of event case, manual typing are slipped unavoidably, and lack effective administrative mechanism, and the storage mode of EXCEL is also unfavorable for the efficient control of problem points; Fail to carry out ground physics and chemistry to anomalous event to converge, be difficult to form the efficient Closed loop track mechanism to problem points.Like this, the location of network problem takes time and effort, accuracy is short of, fail to set up effective tracing management mechanism, the entire effect treatment effeciency of problem, is unfavorable for the multianalysis process of problem, is unfavorable for solidification and the succession of outstanding optimum ideals and analytical method, be unfavorable for the raising of operating efficiency, be also unfavorable for that resource-sharing and the technology to new employee are cultivated simultaneously.
Summary of the invention
Main purpose of the present invention is for providing the method and apparatus of a kind of Design case based storehouse intellectual analysis Network Abnormal, be intended to alleviate the workload optimizing engineer, increase work efficiency on the whole, and can quick position be conducive to and solve network problem, solidification, succession also shared network optimization process experience, thus realize the maximum using of resource.
The invention provides the method for a kind of Design case based storehouse intellectual analysis Network Abnormal, comprising:
Event composition rule is set up, resulting anomaly event according to network problem feature; Described event composition rule at least comprises: set up migrating and the affair character of anomalous event between state machine, state machine;
The problematic phenomenon of anomalous event according to network data analysis, exports the problem types and reason description that judge;
Problem types according to the anomalous event determined generates anomalous event case and is added in case library, and described anomalous event case is pushed to the analysis of Optimization analyses system keeps track.
Preferably, describedly set up event composition rule according to network problem feature, resulting anomaly event comprises:
According to the affair character of anomalous event, set up the state machine for this affair character;
The information collected in conjunction with sampled point carries out migrating between state machine, exports the anomalous event meeting described affair character.
Preferably, the problematic phenomenon of described anomalous event according to network data analysis, the problem types and the reason description that export judgement comprise:
According to the question type model that network phenomenon organizes all kinds of anomalous event to occur, and custom analysis procedural model;
Using the described anomalous event of synthesis as analytic target, described anomalous event is carried out recovering and analysis;
Judge whether described anomalous event conforms to described analysis process model, if so, then determines and exports the problem types belonging to described anomalous event; If not, then record the network phenomenon of this anomalous event, for foundation and solidification analysis process model.
Preferably, the problem types generation anomalous event case of the described described anomalous event according to determining comprises:
Obtain the Back ground Information that described anomalous event occurs; Described Back ground Information at least comprises: test data management information, work ginseng data message, behavioral test management information, anomalous event management information, test No. management information and region affiliation management information;
The described Back ground Information obtained is associated with anomalous event, and combines the problem types belonging to described anomalous event determined, generate anomalous event case according to the masterplate of anomalous event case.
Preferably, execution is described anomalous event case pushed to Optimization analyses system after, also comprise:
Anomalous event case in case library is carried out converging and presenting, by settled anomalous event case closed loop.
Preferably, described anomalous event case in case library is carried out converging and presenting, settled anomalous event case closed loop is comprised:
Converge strategy according to preset case, the anomalous event case in case library is converged, and presents in the mode of list and GIS-Geographic Information System;
Described anomalous event case after comparison convergence and history anomalous event case, judge whether the reason of anomalous event in described anomalous event case reappears, if not, then settled anomalous event case carried out closed loop.
The present invention also provides the device of a kind of Design case based storehouse intellectual analysis Network Abnormal, comprising:
Event synthesis module, for setting up event composition rule according to network problem feature, resulting anomaly event; Described event composition rule at least comprises: set up migrating and the affair character of anomalous event between state machine, state machine;
Intelligent analysis module, for the problematic phenomenon of anomalous event according to network data analysis, exports the problem types and reason description that judge;
Generate and add module, generate anomalous event case for the problem types according to the anomalous event determined and be added in case library;
Automatic pushing module, for pushing to the analysis of Optimization analyses system keeps track by described anomalous event case.
Preferably, described event synthesis module comprises:
State machine sets up unit, for the affair character according to anomalous event, sets up the state machine for this affair character;
Event synthesis unit, carries out migrating between state machine for the information collected in conjunction with sampled point, exports the anomalous event meeting described affair character.
Preferably, described intelligent analysis module comprises:
Unit set up by model, for the question type model organizing all kinds of anomalous event to occur according to network phenomenon, and custom analysis procedural model;
Event replay unit, for using the described anomalous event of synthesis as analytic target, carries out recovering and analysis by described anomalous event;
Judging unit, for judging whether described anomalous event conforms to described analysis process model;
Type determining units, for when described anomalous event conforms to analysis process model, determines and exports the problem types belonging to described anomalous event;
Phenomenon record cell, for when described anomalous event does not conform to analysis process model, records the network phenomenon of this anomalous event, for foundation and solidification analysis process model.
Preferably, described generation and interpolation module comprise:
Information acquisition unit, for obtaining the Back ground Information that described anomalous event occurs; Described Back ground Information at least comprises: test data management information, work ginseng data message, behavioral test management information, anomalous event management information, test No. management information and region affiliation management information;
Association and generation unit, for being associated with anomalous event by the described Back ground Information obtained, and combine the problem types belonging to described anomalous event determined, generates anomalous event case according to the masterplate of anomalous event case.
Preferably, the device of Design case based storehouse intellectual analysis Network Abnormal also comprises:
Closed loop module, for the anomalous event case in case library being carried out converging and presenting, by settled anomalous event case closed loop.
Preferably, described closed loop module comprises:
Converge and display unit, for converging strategy according to preset case, the anomalous event case in case library being converged, and presents in the mode of list and GIS-Geographic Information System;
Comparing unit, the described anomalous event case after converging for comparison and history anomalous event case, judge whether the reason of anomalous event in described anomalous event case reappears;
Closed-loop element, if do not reappear for the reason of anomalous event in described anomalous event case, then carries out closed loop by settled anomalous event case.
The present invention is by setting up event composition rule according to network problem feature, and resulting anomaly event, according to the problematic phenomenon of network data analysis anomalous event, determine and export the problem types and reason description that judge; Then, the problem types according to the anomalous event determined generates anomalous event case and is added in case library, and anomalous event case is pushed to Optimization analyses system, carries out repetition measurement tracking for it.Alleviate the workload optimizing engineer, improve operating efficiency on the whole, and can quick position be conducive to and solve network problem, solidification, succession also shared network optimization process experience, thus achieve the maximum using of resource.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of method one embodiment that the present invention is based on case library intellectual analysis Network Abnormal;
Fig. 2 is the schematic flow sheet of resulting anomaly event in the method that the present invention is based on case library intellectual analysis Network Abnormal;
Fig. 3 is the schematic flow sheet of problem identificatioin type in the method that the present invention is based on case library intellectual analysis Network Abnormal;
Fig. 4 is the schematic flow sheet generating anomalous event case in the method that the present invention is based on case library intellectual analysis Network Abnormal;
Fig. 5 is the schematic flow sheet of the another embodiment of method that the present invention is based on case library intellectual analysis Network Abnormal;
Fig. 6 is by the schematic flow sheet of settled anomalous event case closed loop in the method that the present invention is based on case library intellectual analysis Network Abnormal;
Fig. 7 is the structural representation of device one embodiment that the present invention is based on case library intellectual analysis Network Abnormal;
Fig. 8 is the structural representation of the event synthesis module of the device that the present invention is based on case library intellectual analysis Network Abnormal;
Fig. 9 is the structural representation of the intelligent analysis module of the device that the present invention is based on case library intellectual analysis Network Abnormal;
Figure 10 is the structural representation of the case generation module of the device that the present invention is based on case library intellectual analysis Network Abnormal;
Figure 11 is the structural representation of the another embodiment of device that the present invention is based on case library intellectual analysis Network Abnormal;
Figure 12 is the structural representation of the closed loop module of the device that the present invention is based on case library intellectual analysis Network Abnormal.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
With reference to the schematic flow sheet that Fig. 1, Fig. 1 are method one embodiment that the present invention is based on case library intellectual analysis Network Abnormal.
The method of the Design case based storehouse intellectual analysis Network Abnormal that the present embodiment provides, comprising:
Step S10, sets up event composition rule according to network problem feature, resulting anomaly event;
When there is anomalous event, first event composition rule is set up according to network problem feature, then anomalous event synthesized according to set up event composition rule, in the present embodiment, the synthesis of anomalous event is realized by indexs such as associated layers three message, wireless parameter, time, distances.Event composition rule is the characteristic according to event, and whether the decision event pre-set can synthesize the rule of anomalous event, and this event composition rule at least comprises: set up migrating and the affair character of anomalous event between state machine, state machine.
It is the schematic flow sheet of resulting anomaly event in the method that the present invention is based on case library intellectual analysis Network Abnormal with reference to Fig. 2, Fig. 2.
In the present embodiment, step S10 comprises further:
Step S11, according to the affair character of anomalous event, sets up the state machine for this affair character;
Dissimilar according to anomalous event, anomalous event is divided, and summarizes its affair character for dissimilar anomalous event, when carrying out anomalous event synthesis, first set up corresponding state machine for different affair characters, contain the state of anomalous event in different time sections.
Step S12, the information collected in conjunction with sampled point carries out migrating between state machine, exports the anomalous event meeting affair character.
Sampled point can be sampled in the information of different time sections to the state machine residing for current state, according to the information of the different time sections that sampled point collects, carry out migrating between state machine, and export the anomalous event meeting affair character, thus complete the synthesis of anomalous event.
Step S20, according to the problematic phenomenon of network data analysis anomalous event, exports the problem types and reason description that judge;
After the synthesis carrying out anomalous event, using the anomalous event of synthesis as analytic target, association analysis drive test data, statistics, work parameter according to etc. information, analyze the related information of anomalous event, determine and export the problem types of this anomalous event and reason describes.
It is the schematic flow sheet of problem identificatioin type in the method that the present invention is based on case library intellectual analysis Network Abnormal with reference to Fig. 3, Fig. 3.
In the present embodiment, step S20 comprises further:
Step S21, according to the question type model that network phenomenon organizes all kinds of anomalous event to occur, and custom analysis procedural model;
Step S22, using the anomalous event of synthesizing as analytic target, carries out recovering and analysis by anomalous event;
Step S23, judges whether anomalous event conforms to analysis process model, if so, then performs step S24; If not, then step S25 is performed;
Step S24, determines the problem types also belonging to output abnormality event;
Step S25, records the network phenomenon of this anomalous event, for foundation and solidification analysis process model.
In the present embodiment, realize the analysis process to anomalous event with the custom model of flow chart.First, according to the question type model that network phenomenon organizes all kinds of anomalous event to occur, then custom analysis procedural model, the analysis process model customized comprises judgement, operation, judges the flow processs such as the description of problem types, reason and solution description in advance.First, all kinds of index, parameter, event are judged, judge whether to meet default condition; Secondly, by arranging playback mechanism, anomalous event is carried out playback, and automatic analysis event occur before and after the situations such as wireless parameter, layer three signaling, community take, namely analyze the related informations such as the index parameter value relevant to anomalous event; Then, judging whether anomalous event conforms to analysis process model, as conformed to, then can determine the problem types belonging to anomalous event, and export the result determined; If do not conformed to, then recording the network phenomenon of this anomalous event, for when the follow-up anomalous event to the type is analyzed, setting up and solidification analysis process model.
After determining the problem types belonging to anomalous event, the flow process that can be described by reason is provided foundation to the pre-problem types judged and supplements, and comprises and takies community, the speed of a motor vehicle, the direction of motion, busy channel situation, covering analyzing, quality analysis etc.; The flow process then described by solution is described the solution corresponding to the anomalous event of different problem types.
Step S30, the problem types according to the anomalous event determined generates anomalous event case and is added in case library, anomalous event case is pushed to the analysis of Optimization analyses system keeps track.
Anomalous event is being synthesized and is analyzing, and after determining the problem types belonging to this anomalous event, according to the problem types belonging to determined anomalous event, the Back ground Information that association anomalous event occurs, namely in conjunction with the Back ground Information such as test plan information, event information, work ginseng information, grid map data mining platform, facility information, carry out association analysis with anomalous event, and automatically generate original anomalous event case by the form of case specification.
Anomalous event and Back ground Information are carried out associating and after generating anomalous event case, the anomalous event case of generation is added in case library, then anomalous event case is pushed to Optimization analyses system, and by the management mode of the Internet, to carry out repetition measurement tracking to it.In the present embodiment, carry out repetition measurement tracking to anomalous event case to comprise: whether the problem types detecting the anomalous event determined conforms to actual conditions, formulate solution according to the problem types of anomalous event, and after solving according to solution, follows the tracks of anomalous event case and judge whether the reason of anomalous event reappears.Namely by the mode of the Internet, check the detail information of each anomalous event case, intelligent playback is carried out to anomalous event, for engineer, anomalous event is dissected further, meanwhile, also as a kind of test mode to the pre-problem types judged, correct situation about not conforming to the problem types judged in advance in time, if the pre-result judged fails complete orientation problem, then need to supplement further again intellectual analysis flow process.
Think that the pre-problem types judged conforms to actual conditions as optimized engineer, then formulate solution according to the problem types of anomalous event further, then, the follow-up mechanism of Erecting and improving, association periphery wireless environment, the implementation status according to solution carries out repetition measurement analysis, whether this region of further tracking also there is anomalous event, and combine the solution taked, after adjustment antenna directional angle, angle of declination, whether cause the appearance of new problem; Whether observation problem reappears, until after elimination problem completely, just by this problem flag for solve, thus reach the repetition measurement of anomalous event followed the tracks of.After repetition measurement tracking is carried out to anomalous event, the anomalous event case completed is pushed to existing test data analysis platform automatically, constantly issue track is carried out to case, realize the case information of automatic synchronization Internet Server, real-time update case library, to reflect the truth of network problem.
The embodiment of the present invention, by setting up event composition rule according to network problem feature, and resulting anomaly event, according to the problematic phenomenon of network data analysis anomalous event, determine and export the problem types and reason description that judge; Then, the problem types according to the anomalous event determined generates anomalous event case and is added in case library, and anomalous event case is pushed to Optimization analyses system, carries out repetition measurement tracking for it.Alleviate the workload optimizing engineer, improve operating efficiency on the whole, and can quick position be conducive to and solve network problem, solidification, succession also shared network optimization process experience, thus achieve the maximum using of resource.
It is the schematic flow sheet generating anomalous event case in the method that the present invention is based on case library intellectual analysis Network Abnormal with reference to Fig. 4, Fig. 4.
In method one embodiment that the present invention is based on case library intellectual analysis Network Abnormal, step S30 comprises:
Step S31, obtains the Back ground Information that anomalous event occurs;
Anomalous event is being synthesized and is analyzing, and after determining the problem types belonging to this anomalous event, first the Back ground Information that anomalous event occurs is obtained, in the present embodiment, Back ground Information at least comprises: test data management information, work ginseng data message, behavioral test management information, anomalous event management information, test No. management information and region affiliation management information.Wherein, test data management information comprises test event, type of service, operator, area type (city, at a high speed, major trunk roads etc.); Work ginseng data message comprises the key parameter such as cell ID, LAC, CI, BCCH, BSIC, BSC; Behavioral test management information comprises the job placement of tester, comprises action, testing equipment, test grid, measurement circuit etc.; Anomalous event management information comprises file belonging to event, Time To Event, scene, the direction of motion, the speed of a motor vehicle, takies community etc.; Test No. management information, for customizing the test cases numbering of each event, realizes following the tracks of problem points with Case No.; Region affiliation management information is mainly used according to latitude and longitude information, administrative area, affiliated manufacturer, affiliated optimization troop etc. belonging to location.
Step S32, is associated the Back ground Information of acquisition with anomalous event, and combines the problem types belonging to anomalous event determined, generates anomalous event case according to the masterplate of anomalous event case.
After getting the Back ground Information of anomalous event generation, the Back ground Information of acquisition is associated with anomalous event, and combines the problem types belonging to anomalous event determined, according to the masterplate of anomalous event case, reject the anomalous event of non-network reason, generate anomalous event case.The anomalous event case generated supports the querying condition of various dimensions, to realize accurate, quick position case information; Meanwhile, support to provide anomalous event case list, and support conveniently to import and export, after case information improves, effectively can carry out replacement integrate with available data and automatically generate test analysis report, the template reported by existing event analysis, relevant information in case is inserted in report automatically.
After the Back ground Information getting anomalous event generation, the Back ground Information of acquisition is associated with anomalous event, and combine the problem types belonging to anomalous event determined, anomalous event case is generated according to the masterplate of anomalous event case, for anomalous event case is being added into after in case library, repetition measurement tracking is carried out to it, achieves and Optimization Experience is stored in the mode of data, so that resource-sharing.
With reference to the schematic flow sheet that Fig. 5, Fig. 5 are the another embodiment of method that the present invention is based on case library intellectual analysis Network Abnormal.
Based on method one embodiment that the present invention is based on case library intellectual analysis Network Abnormal, after execution step S30, also comprise:
Step S40, is undertaken converging and presenting by the anomalous event case in case library, by settled anomalous event case closed loop.
In the present embodiment, anomalous event case is being added in case library, and anomalous event case is pushed to the Internet, after repetition measurement tracking is carried out to anomalous event case, anomalous event case in case library is converged, and present in the corresponding way, then settled anomalous event case is carried out closed loop.
Be by the schematic flow sheet of settled anomalous event case closed loop in the method that the present invention is based on case library intellectual analysis Network Abnormal with reference to Fig. 6, Fig. 6.
In the present embodiment, step S40 comprises further:
Step S41, converges strategy according to preset case, the anomalous event case in case library is converged, and present in the mode of list and GIS-Geographic Information System;
The search condition of case library comprises the case time, optimizes causality classification, progress chasing state, Data Source, event type.In the present embodiment, anomalous event case in case library carried out converging is converge strategy according to preset case to carry out, preset case converge strategy mainly with event longitude and latitude for initial point, radius is converged in setting, event problem points is converted to problem area, when the anomalous event quantity in this region reaches the quantity thresholding of policy mandates, then converge.Then, the anomalous event case after convergence is presented in the mode of list and Distribution GIS.Case Groups List is the result set after event converges, and contains full detail and the statistical information of case in list.
Step S42, the anomalous event case after comparison convergence and history anomalous event case, judge whether the reason of anomalous event in anomalous event case reappears, and if not, then performs step S43;
Step S43, carries out closed loop by settled anomalous event case.
After anomalous event case in case library is converged, the anomalous event case after comparison convergence and history anomalous event case, and judge whether the reason of anomalous event in anomalous event case reappears.In the present embodiment, adopt the patterned mode of GIS, case convergence is carried out by selecting different pieces of information source, arrive to obtain the convergence situation of current exception event case and history anomalous event case, be analyzed by the anomalous event case in conjunction with two stages, judge whether the reason of anomalous event in anomalous event case reappears, and the reason as anomalous event is no longer reappeared, then settled anomalous event case is carried out closed loop.
Anomalous event case is being added in case library, and anomalous event case is pushed to the Internet, after repetition measurement tracking is carried out to anomalous event case, anomalous event case in case library is converged, and present in the corresponding way, then settled anomalous event case is carried out closed loop.Important directive significance is had to the formulation of Optimized Measures to existing event solution of closed loop case, optimum ideals is expanded greatly, Optimization Experience is effectively promoted, and analyzes resource requirement and rationally applies, simultaneously also for problem efficiently processes the foundation of the science of providing.
The present invention also provides the device of a kind of Design case based storehouse intellectual analysis Network Abnormal.
With reference to the structural representation that Fig. 7, Fig. 7 are device one embodiment that the present invention is based on case library intellectual analysis Network Abnormal.
The device of the Design case based storehouse intellectual analysis Network Abnormal that the present embodiment provides, comprising:
Event synthesis module 10, for setting up event composition rule according to network problem feature, resulting anomaly event;
Intelligent analysis module 20, for the problematic phenomenon according to network data analysis anomalous event, exports the problem types and reason description that judge;
Generate and add module 30, generate anomalous event case for the problem types according to the anomalous event determined and be added in case library;
Automatic pushing module 40, for pushing to the analysis of Optimization analyses system keeps track by anomalous event case.
When there is anomalous event, first event synthesis module 10 sets up event composition rule according to network problem feature, then according to set up event composition rule, anomalous event is synthesized, in the present embodiment, the synthesis of anomalous event is realized by indexs such as associated layers three message, wireless parameter, time, distances.Event composition rule is the characteristic according to event, and whether the decision event pre-set can synthesize the rule of anomalous event, and this event composition rule at least comprises: set up migrating and the affair character of anomalous event between state machine, state machine.
With reference to the structural representation that Fig. 8, Fig. 8 are the event synthesis module of the device that the present invention is based on case library intellectual analysis Network Abnormal.
In the present embodiment, event synthesis module 10 comprises further:
State machine sets up unit 11, for the affair character according to anomalous event, sets up the state machine for this affair character;
Event synthesis unit 12, carries out migrating between state machine for the information collected in conjunction with sampled point, exports the anomalous event meeting affair character.
Dissimilar according to anomalous event, anomalous event is divided, and summarize its affair character for dissimilar anomalous event, when carrying out anomalous event synthesis, state machine is set up unit 11 and is first set up corresponding state machine for different affair characters, contains the state of anomalous event in different time sections.
Sampled point can be sampled in the information of different time sections to the state machine residing for current state, the information of the different time sections that event synthesis unit 12 collects according to sampled point, carry out migrating between state machine, and export the anomalous event meeting affair character, thus complete the synthesis of anomalous event.
After the synthesis carrying out anomalous event, using the anomalous event of synthesis as analytic target, association analysis drive test data, statistics, work parameter according to etc. information, analyze the related information of anomalous event, determine and export the problem types of this anomalous event and reason describes.
With reference to the structural representation that Fig. 9, Fig. 9 are the intelligent analysis module of the device that the present invention is based on case library intellectual analysis Network Abnormal.
In the present embodiment, intelligent analysis module 20 comprises further:
Unit 21 set up by model, for the question type model organizing all kinds of anomalous event to occur according to network phenomenon, and custom analysis procedural model;
Event replay unit 22, for using the anomalous event of synthesis as analytic target, carries out recovering and analysis by anomalous event;
Judging unit 23, for judging whether anomalous event conforms to analysis process model;
Type determining units 24, for when anomalous event conforms to analysis process model, determines the problem types also belonging to output abnormality event;
Phenomenon record cell 25, for when anomalous event does not conform to analysis process model, records the network phenomenon of this anomalous event, for foundation and solidification analysis process model.
In the present embodiment, realize the analysis process to anomalous event with the custom model of flow chart.First, the question type model that unit 21 organizes all kinds of anomalous event to occur according to network phenomenon set up by model, then custom analysis procedural model, the analysis process model customized comprises judgement, operation, judges the flow processs such as the description of problem types, reason and solution description in advance.First, all kinds of index, parameter, event are judged, judge whether to meet default condition; Secondly, by arranging playback mechanism, anomalous event is carried out playback by event replay unit 22, and automatic analysis event occur before and after the situations such as wireless parameter, layer three signaling, community take, namely analyze the related informations such as the index parameter value relevant to anomalous event; Then, judge whether anomalous event conforms to analysis process model by judging unit 23, as conformed to, then type determining units 24 determines the problem types belonging to anomalous event, and exports the result determined; If do not conformed to, then phenomenon record cell 25 records the network phenomenon of this anomalous event, for when the follow-up anomalous event to the type is analyzed, sets up and solidification analysis process model.
After determining the problem types belonging to anomalous event, the flow process that can be described by reason is provided foundation to the pre-problem types judged and supplements, and comprises and takies community, the speed of a motor vehicle, the direction of motion, busy channel situation, covering analyzing, quality analysis etc.; The flow process then described by solution is described the solution corresponding to the anomalous event of different problem types.
Anomalous event is being synthesized and is analyzing, and after determining the problem types belonging to this anomalous event, by generating and adding module 30, according to the problem types belonging to determined anomalous event, the Back ground Information that association anomalous event occurs, namely in conjunction with the Back ground Information such as test plan information, event information, work ginseng information, grid map data mining platform, facility information, carry out association analysis with anomalous event, and automatically generate original anomalous event case by the form of case specification.
Anomalous event and Back ground Information are carried out associating and after generating anomalous event case, generating and adding module 30 is added in case library by the anomalous event case of generation, then by automatic pushing module 40, anomalous event case is pushed to Optimization analyses system, and by the management mode of the Internet, to carry out repetition measurement tracking to it.In the present embodiment, carry out repetition measurement tracking to anomalous event case to comprise: whether the problem types detecting the anomalous event determined conforms to actual conditions, formulate solution according to the problem types of anomalous event, and after solving according to solution, follows the tracks of anomalous event case and judge whether the reason of anomalous event reappears.Namely by the mode of the Internet, check the detail information of each anomalous event case, intelligent playback is carried out to anomalous event, for engineer, anomalous event is dissected further, meanwhile, also as a kind of test mode to the pre-problem types judged, correct situation about not conforming to the problem types judged in advance in time, if the pre-result judged fails complete orientation problem, then need to supplement further again intellectual analysis flow process.
Think that the pre-problem types judged conforms to actual conditions as optimized engineer, then formulate solution according to the problem types of anomalous event further, then, the follow-up mechanism of Erecting and improving, association periphery wireless environment, the implementation status according to solution carries out repetition measurement analysis, whether this region of further tracking also there is anomalous event, and combine the solution taked, after adjustment antenna directional angle, angle of declination, whether cause the appearance of new problem; Whether observation problem reappears, until after elimination problem completely, just by this problem flag for solve, thus reach the repetition measurement of anomalous event followed the tracks of.After repetition measurement tracking is carried out to anomalous event, the anomalous event case completed is pushed to existing test data analysis platform automatically, constantly issue track is carried out to case, realize the case information of automatic synchronization Internet Server, real-time update case library, to reflect the truth of network problem.
The embodiment of the present invention, by setting up event composition rule according to network problem feature, and resulting anomaly event, according to the problematic phenomenon of network data analysis anomalous event, determine and export the problem types and reason description that judge; Then, the problem types according to the anomalous event determined generates anomalous event case and is added in case library, and anomalous event case is pushed to Optimization analyses system, carries out repetition measurement tracking for it.Alleviate the workload optimizing engineer, improve operating efficiency on the whole, and can quick position be conducive to and solve network problem, solidification, succession also shared network optimization process experience, thus achieve the maximum using of resource.
With reference to the structural representation that Figure 10, Figure 10 are the case generation module of the device that the present invention is based on case library intellectual analysis Network Abnormal.
In device one embodiment that the present invention is based on case library intellectual analysis Network Abnormal, generation and interpolation module 30 comprise:
Information acquisition unit 31, for obtaining the Back ground Information that anomalous event occurs;
Association and generation unit 32, for being associated with anomalous event by the Back ground Information of acquisition, and combine the problem types belonging to anomalous event determined, generates anomalous event case according to the masterplate of anomalous event case.
Anomalous event is being synthesized and is analyzing, and after determining the problem types belonging to this anomalous event, first the Back ground Information of anomalous event generation is obtained by information acquisition unit 31, in the present embodiment, Back ground Information at least comprises: test data management information, work ginseng data message, behavioral test management information, anomalous event management information, test No. management information and region affiliation management information.Wherein, test data management information comprises test event, type of service, operator, area type (city, at a high speed, major trunk roads etc.); Work ginseng data message comprises the key parameter such as cell ID, LAC, CI, BCCH, BSIC, BSC; Behavioral test management information comprises the job placement of tester, comprises action, testing equipment, test grid, measurement circuit etc.; Anomalous event management information comprises file belonging to event, Time To Event, scene, the direction of motion, the speed of a motor vehicle, takies community etc.; Test No. management information, for customizing the test cases numbering of each event, realizes following the tracks of problem points with Case No.; Region affiliation management information is mainly used according to latitude and longitude information, administrative area, affiliated manufacturer, affiliated optimization troop etc. belonging to location.
After getting the Back ground Information of anomalous event generation, by association and analytic unit 32, the Back ground Information of acquisition is associated with anomalous event, and combine the problem types belonging to anomalous event determined, according to the masterplate of anomalous event case, reject the anomalous event of non-network reason, generate anomalous event case.The anomalous event case generated supports the querying condition of various dimensions, to realize accurate, quick position case information; Meanwhile, support to provide anomalous event case list, and support conveniently to import and export, after case information improves, effectively can carry out replacement integrate with available data and automatically generate test analysis report, the template reported by existing event analysis, relevant information in case is inserted in report automatically.
After the Back ground Information getting anomalous event generation, the Back ground Information of acquisition is associated with anomalous event, and combine the problem types belonging to anomalous event determined, anomalous event case is generated according to the masterplate of anomalous event case, for anomalous event case is being added into after in case library, repetition measurement tracking is carried out to it, achieves and Optimization Experience is stored in the mode of data, so that resource-sharing.
With reference to the structural representation that Figure 11, Figure 11 are the another embodiment of device that the present invention is based on case library intellectual analysis Network Abnormal.
Based on device one embodiment that the present invention is based on case library intellectual analysis Network Abnormal, the device of Design case based storehouse intellectual analysis Network Abnormal also comprises:
Closed loop module 50, for the anomalous event case in case library being carried out converging and presenting, by settled anomalous event case closed loop.
In the present embodiment, anomalous event case is being added in case library, and anomalous event case is pushed to the Internet, after repetition measurement tracking is carried out to anomalous event case, anomalous event case in case library is converged, and present in the corresponding way, then by closed loop module 50, settled anomalous event case is carried out closed loop.
With reference to the structural representation that Figure 12, Figure 12 are the closed loop module of the device that the present invention is based on case library intellectual analysis Network Abnormal.
In the present embodiment, closed loop module 50 comprises:
Converge and display unit 51, for converging strategy according to preset case, the anomalous event case in case library being converged, and presents in the mode of list and GIS-Geographic Information System;
Comparing unit 52, the anomalous event case after converging for comparison and history anomalous event case, judge whether the reason of anomalous event in anomalous event case reappears;
Closed-loop element 53, if do not reappear for the reason of anomalous event in anomalous event case, then carries out closed loop by settled anomalous event case.
The search condition of case library comprises the case time, optimizes causality classification, progress chasing state, Data Source, event type.In the present embodiment, anomalous event case in case library being carried out converging by convergence and display unit 51 is converge strategy according to preset case to carry out, preset case converge strategy mainly with event longitude and latitude for initial point, radius is converged in setting, event problem points is converted to problem area, when the anomalous event quantity in this region reaches the quantity thresholding of policy mandates, then converge.Then, the anomalous event case after convergence presents in the mode of list and Distribution GIS by convergence and display unit 51.Case Groups List is the result set after event converges, and contains full detail and the statistical information of case in list.
After anomalous event case in case library is converged, the anomalous event case after being converged by comparing unit 52 comparison and history anomalous event case, and judge whether the reason of anomalous event in anomalous event case reappears.In the present embodiment, adopt the patterned mode of GIS, case convergence is carried out by selecting different pieces of information source, arrive to obtain the convergence situation of current exception event case and history anomalous event case, be analyzed by the anomalous event case in conjunction with two stages, judge whether the reason of anomalous event in anomalous event case reappears, and the reason as anomalous event is no longer reappeared, then settled anomalous event case is carried out closed loop by closed-loop element 53.
Anomalous event case is being added in case library, and anomalous event case is pushed to the Internet, after repetition measurement tracking is carried out to anomalous event case, anomalous event case in case library is converged, and present in the corresponding way, then settled anomalous event case is carried out closed loop.Important directive significance is had to the formulation of Optimized Measures to existing event solution of closed loop case, optimum ideals is expanded greatly, Optimization Experience is effectively promoted, and analyzes resource requirement and rationally applies, simultaneously also for problem efficiently processes the foundation of the science of providing.
The foregoing is only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every utilize specification of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. a method for Design case based storehouse intellectual analysis Network Abnormal, is characterized in that, comprising:
Event composition rule is set up, resulting anomaly event according to network problem feature; Described event composition rule at least comprises: set up migrating and the affair character of anomalous event between state machine, state machine;
The problematic phenomenon of anomalous event according to network data analysis, exports the problem types and reason description that judge;
Problem types according to the anomalous event determined generates anomalous event case and is added in case library, and described anomalous event case is pushed to the analysis of Optimization analyses system keeps track;
Describedly set up event composition rule according to network problem feature, resulting anomaly event comprises: according to the affair character of anomalous event, sets up the state machine for this affair character; The information collected in conjunction with sampled point carries out migrating between state machine, exports the anomalous event meeting described affair character.
2. method according to claim 1, is characterized in that, the problematic phenomenon of described anomalous event according to network data analysis, and the problem types and the reason description that export judgement comprise:
According to the question type model that network phenomenon organizes all kinds of anomalous event to occur, and custom analysis procedural model;
Using the described anomalous event of synthesis as analytic target, described anomalous event is carried out recovering and analysis;
Judge whether described anomalous event conforms to described analysis process model, if so, then determines and exports the problem types belonging to described anomalous event; If not, then record the network phenomenon of this anomalous event, for foundation and solidification analysis process model.
3. method according to claim 2, is characterized in that, the problem types of the described described anomalous event according to determining generates anomalous event case and comprises:
Obtain the Back ground Information that described anomalous event occurs; Described Back ground Information at least comprises: test data management information, work ginseng data message, behavioral test management information, anomalous event management information, test No. management information and region affiliation management information;
The described Back ground Information obtained is associated with anomalous event, and combines the problem types belonging to described anomalous event determined, generate anomalous event case according to the masterplate of anomalous event case.
4. according to the method in any one of claims 1 to 3, it is characterized in that, execution is described anomalous event case pushed to Optimization analyses system after, also comprise:
Anomalous event case in case library is carried out converging and presenting, by settled anomalous event case closed loop.
5. method according to claim 4, is characterized in that, describedly anomalous event case in case library is carried out converging and presenting, and settled anomalous event case closed loop is comprised:
Converge strategy according to preset case, the anomalous event case in case library is converged, and presents in the mode of list and GIS-Geographic Information System;
Described anomalous event case after comparison convergence and history anomalous event case, judge whether the reason of anomalous event in described anomalous event case reappears, if not, then settled anomalous event case carried out closed loop.
6. a device for Design case based storehouse intellectual analysis Network Abnormal, is characterized in that, comprising:
Event synthesis module, for setting up event composition rule according to network problem feature, resulting anomaly event; Described event composition rule at least comprises: set up migrating and the affair character of anomalous event between state machine, state machine;
Intelligent analysis module, for the problematic phenomenon of anomalous event according to network data analysis, exports the problem types and reason description that judge;
Generate and add module, generate anomalous event case for the problem types according to the anomalous event determined and be added in case library;
Automatic pushing module, for pushing to the analysis of Optimization analyses system keeps track by described anomalous event case;
Described event synthesis module comprises: state machine sets up unit, for the affair character according to anomalous event, sets up the state machine for this affair character; Event synthesis unit, carries out migrating between state machine for the information collected in conjunction with sampled point, exports the anomalous event meeting described affair character.
7. device according to claim 6, is characterized in that, described intelligent analysis module comprises:
Unit set up by model, for the question type model organizing all kinds of anomalous event to occur according to network phenomenon, and custom analysis procedural model;
Event replay unit, for using the described anomalous event of synthesis as analytic target, carries out recovering and analysis by described anomalous event;
Judging unit, for judging whether described anomalous event conforms to described analysis process model;
Type determining units, for when described anomalous event conforms to analysis process model, determines and exports the problem types belonging to described anomalous event;
Phenomenon record cell, for when described anomalous event does not conform to analysis process model, records the network phenomenon of this anomalous event, for foundation and solidification analysis process model.
8. device according to claim 6, is characterized in that, described generation and interpolation module comprise:
Information acquisition unit, for obtaining the Back ground Information that described anomalous event occurs; Described Back ground Information at least comprises: test data management information, work ginseng data message, behavioral test management information, anomalous event management information, test No. management information and region affiliation management information;
Association and generation unit, for being associated with anomalous event by the described Back ground Information obtained, and combine the problem types belonging to described anomalous event determined, generates anomalous event case according to the masterplate of anomalous event case.
9. the device according to any one of claim 6 to 8, is characterized in that, also comprises:
Closed loop module, for the anomalous event case in case library being carried out converging and presenting, by settled anomalous event case closed loop.
10. device according to claim 9, is characterized in that, described closed loop module comprises:
Converge and display unit, for converging strategy according to preset case, the anomalous event case in case library being converged, and presents in the mode of list and GIS-Geographic Information System;
Comparing unit, the described anomalous event case after converging for comparison and history anomalous event case, judge whether the reason of anomalous event in described anomalous event case reappears;
Closed-loop element, if do not reappear for the reason of anomalous event in described anomalous event case, then carries out closed loop by settled anomalous event case.
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| CN106304161A (en) * | 2015-06-25 | 2017-01-04 | 中兴通讯股份有限公司 | Data analysing method and device |
| US10339032B2 (en) * | 2016-03-29 | 2019-07-02 | Microsoft Technology Licensing, LLD | System for monitoring and reporting performance and correctness issues across design, compile and runtime |
| CN109345099A (en) * | 2018-09-20 | 2019-02-15 | 深圳市数本科技开发有限公司 | Wisdom exception management system |
| CN111324757B (en) * | 2018-12-17 | 2023-08-22 | 北京四维图新科技股份有限公司 | Map data problem processing method and device |
| CN111046130B (en) * | 2019-11-08 | 2023-05-23 | 杭州安恒信息技术股份有限公司 | Correlation retrieval method combining elastic search and FSM |
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