CN107087284A - Quality control method and monitoring system, the server of a kind of network cell - Google Patents

Quality control method and monitoring system, the server of a kind of network cell Download PDF

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Publication number
CN107087284A
CN107087284A CN201610088071.0A CN201610088071A CN107087284A CN 107087284 A CN107087284 A CN 107087284A CN 201610088071 A CN201610088071 A CN 201610088071A CN 107087284 A CN107087284 A CN 107087284A
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China
Prior art keywords
network cell
quality
health degree
kpi
cell
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Inventor
陈秋玲
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Datang Mobile Communications Equipment Co Ltd
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Datang Mobile Communications Equipment Co Ltd
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Priority to CN201610088071.0A priority Critical patent/CN107087284A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/04Arrangements for maintaining operational condition

Abstract

The present invention provides a kind of quality control method and monitoring system, server of network cell, and the monitoring method includes:When user determines the monitor task of each network cell, the monitoring data of each network cell is obtained from NM server, the monitoring data of each network cell is data corresponding with the monitor task of the network cell;According to the monitoring data of each network cell, the health degree of the network cell is determined;According to the health degree of all-network cell, network cell off quality is determined, and be directed to the suggestion processing information that each network cell off quality generates the network cell.The above method can solve the problem that the control real-time of the Quality Monitoring Control System of network cell in the prior art is not strong, it is impossible to the problem of ensureing quality monitoring and monitoring efficiency.

Description

Quality control method and monitoring system, the server of a kind of network cell
Technical field
The present invention relates to a kind of communication technology, more particularly to a kind of quality monitoring side of network cell Method and monitoring system, server.
Background technology
In communication equipment network running, network maintenance staff is extracting substantial amounts of daily Form, checks various daily records, to monitor whether network cell is in quality state, and to not being good for Kang little Qu carries out analyzing and positioning, fixes a breakdown.
At present, the major responsibility of network maintenance staff be monitor network cell service quality whether Normally, the original of the poor cell of the positioning matter such as alarm, daily record and CDL file analyses is then passed through Cause, and carry out malfunction elimination or network optimization processing.Specifically handling process can be:The first step, Network maintenance staff's statistical items that self-defined cell monitoring needs on webmaster;Second step, from net The hour form of monitoring cell the previous day is extracted in pipe;3rd step, network maintenance staff searches report Statistical items exceptional value (i.e. unqualified KPI) in table, and then pass through daily record/alarm/CDL analyses etc. Position the unqualified reason of statistical items exceptional value.
However, long-term cumbersome repetitive operation so that network O&M personnel generate greatly It is weary of, it is impossible to ensure the quality and effect of network O&M well.For example, existing operation side There are a series of deficiencies in formula:
Firstth, because cell amount is very big, each attendant needs to be responsible for the prison of thousands of cells Control, the quality and efficiency of the network optimization is all very low.
Secondth, the accuracy of positioning problems, and the network optimization effect, depend critically upon dimension The experience and ability of shield personnel, network operation quality is unreliable.
3rd, generally, the index on the same day can be analyzed at first day, and such monitoring is real-time Property is not strong.
Therefore, how improving the control real-time of the Quality Monitoring Control System of network cell, ensureing prison Control quality and monitoring efficiency turn into the technical problem for being currently needed for solving.
The content of the invention
For defect of the prior art, the present invention provides a kind of quality monitoring side of network cell Method and monitoring system, server, can solve the problem that the quality monitoring system of network cell in the prior art The control real-time of system is not strong, it is impossible to the problem of ensureing quality monitoring and monitoring efficiency.
In a first aspect, the present invention provides a kind of Quality Monitoring Control System of network cell, including:
When user determines the monitor task of each network cell, each net is obtained from NM server The monitoring data of network cell, the monitoring data of each network cell is and the network cell The corresponding data of monitor task;
According to the monitoring data of each network cell, the health degree of the network cell is determined;
According to the health degree of all-network cell, network cell off quality, and pin are determined The suggestion processing information of the network cell is generated to each network cell off quality.
Alternatively, it is described each network cell is obtained from NM server monitoring data the step of Before, methods described also includes:
Receive mark and the user's choosing of the network cell of the pending quality monitoring of user's selection Time segment information belonging to the monitoring data selected, generates the network cell of pending quality monitoring Monitor task.
Alternatively, according to the monitoring data of each network cell, the health of the network cell is determined The step of spending, including:
The health degree of each network cell is determined according to formula one;
H=∑s KQIi*RiFormula one
Wherein, H is the health degree of a network cell,
KQIiFor the score of the Key Quality of i-th dimension degree in the network cell, RiFor i-th dimension degree Key Quality weight, i is the natural number more than or equal to 1;
KQIi=∑ KPIij -
KPIij -For the actual score of the statistics of j-th of subitem of i-th dimension degree, KPIijFor i-th The actual measured value of the statistics of j-th of subitem of dimension, j is the natural number more than or equal to 1;
In actual measured value KPIijMore than or equal to desired value TijWhen, KPIij -=Rij
In actual measured value KPIijLess than desired value TijWhen, KPIij -=100 × (1- (desired values Tij- actual measured value KPIij)/desired value Tij)*Rij
RijFor the weight of the statistics of the jth subitem of i-th dimension degree, TijIt is used to comment to be default Actual measured value KPI described in valencyijDesired value.
Alternatively, according to the health degree of all-network cell, determine that network off quality is small The step of area, including:
The health degree of all-network cell is compared with default full marks, default full marks will be less than Each network cell be used as network cell off quality;
Or,
The health degree of all-network cell is ranked up according to order from small to large, selection row In the network cell of top N as network cell off quality, N is positive integer.
Alternatively, according to the monitoring data of each network cell, the health of the network cell is determined After the step of spending, methods described also includes:
According to the health degree of all-network cell, the health degree trend for obtaining all-network cell becomes Change figure;
Or,
According to the health degree of all-network cell, the distribution of network cell off quality is obtained Figure and/or form.
Alternatively, the suggestion of the network cell is generated for each network cell off quality The step of processing information, including:
For each network cell off quality, per one-dimensional in each Key Quality of examination The actual score of the statistics of each subitem of degree, if the actual score of the subitem is less than the son The full marks of item, then perform the analysis process of the statistics of the subitem, generate the network cell It is recommended that processing information.
Second aspect, the present invention also provides a kind of Quality Monitoring Control System of network cell, including:
When monitoring data acquiring unit, monitor task for determining each network cell in user, The monitoring data of each network cell, the prison of each network cell are obtained from NM server Control data are data corresponding with the monitor task of the network cell;
Health degree determining unit, for the monitoring data according to each network cell, determines the net The health degree of network cell;
Matter difference cell determining unit, for the health degree according to all-network cell, determines quality Underproof network cell, and it is small for each network cell off quality to generate the network The suggestion processing information in area.
Alternatively, the system also includes:
Monitor task generation unit, is used for the pending quality monitoring that user selects for receiving Time segment information belonging to the mark of network cell and the monitoring data of user's selection, generation The monitor task of the network cell of pending quality monitoring.
Alternatively, the health degree determining unit, specifically for
The health degree of each network cell is determined according to formula one;
H=∑s KQIi*RiFormula one
Wherein, H is the health degree of a network cell,
KQIiFor the score of the Key Quality of i-th dimension degree in the network cell, RiFor i-th dimension degree Key Quality weight, i is the natural number more than or equal to 1;
KQIi=∑ KPIij -
KPIij -For the actual score of the statistics of j-th of subitem of i-th dimension degree, KPIijFor i-th The actual measured value of the statistics of j-th of subitem of dimension, j is the natural number more than or equal to 1;
In actual measured value KPIijMore than or equal to desired value TijWhen, KPIij -=Rij
In actual measured value KPIijLess than desired value TijWhen, KPIij -=100 × (1- (desired values Tij- actual measured value KPIij)/desired value Tij)*Rij
RijFor the weight of the statistics of the jth subitem of i-th dimension degree, TijIt is used to comment to be default Actual measured value KPI described in valencyijDesired value.
Alternatively, the poor cell determining unit of the matter, specifically for
The health degree of all-network cell is compared with default full marks, default full marks will be less than Each network cell be used as network cell off quality;
Or,
The health degree of all-network cell is ranked up according to order from small to large, selection row In the network cell of top N as network cell off quality, N is positive integer.
Alternatively, the system also includes:Display unit;
The display unit, specifically for determining that each network is small in the health degree determining unit After the health degree in area, according to the health degree of all-network cell, all-network cell is obtained Health degree Long-term change trend figure;
Or,
According to the health degree of all-network cell, the distribution of network cell off quality is obtained Figure and/or form.
Alternatively, the poor cell determining unit of the matter, specifically for
For each network cell off quality, per one-dimensional in each Key Quality of examination The actual score of the statistics of each subitem of degree, if the actual score of the subitem is less than the son The full marks of item, then perform the analysis process of the statistics of the subitem, generate the network cell It is recommended that processing information.
The third aspect, the present invention also provides a kind of server, including any of the above-described described network The Quality Monitoring Control System of cell.
As shown from the above technical solution, the quality control method of network cell of the invention and monitoring System, server, the quality control method is by user it is determined that the monitoring of each network cell is appointed After business, the monitoring data of those network cells is obtained, and then automatically analyzes health degree, according to The health degree of analysis determines network cell off quality, and generates building for those network cells Processing information is discussed, the monitoring of the Quality Monitoring Control System of network cell in the prior art thus can be solved Real-time is not strong, it is impossible to the problem of ensureing quality monitoring and monitoring efficiency, solves to greatest extent The duplication of labour of network maintenance staff in the prior art, reduces the human input of network operation, and Improve O&M efficiency.
Brief description of the drawings
The flow of the quality control method for the network cell that Fig. 1 provides for one embodiment of the invention is shown It is intended to;
The flow of the quality control method for the network cell that Fig. 2 provides for another embodiment of the present invention Schematic diagram;
Fig. 3 A and Fig. 3 B are respectively the schematic diagram of the poor cell of matter of one embodiment of the invention;
Fig. 4 is the analysis process of a low KPI of handover success rate shown in one embodiment of the invention Schematic diagram;
The structure of the Quality Monitoring Control System for the network cell that Fig. 5 provides for one embodiment of the invention is shown It is intended to.
Embodiment
With reference to the accompanying drawings and examples, the embodiment to the present invention makees further detailed Description.Following examples are used to illustrate the present invention, but are not limited to the scope of the present invention.
Fig. 1 shows the stream of the quality control method for the network cell that one embodiment of the invention is provided Journey schematic diagram, as shown in figure 1, the following institute of the quality control method of the network cell of the present embodiment State.
101st, when user determines the monitor task of each network cell, obtained from NM server The monitoring data of each network cell.
In the present embodiment, the monitoring data of each network cell is and the network cell The corresponding data of monitor task.
For example, in the present embodiment, what can be selected according to user in displaying interface is pending Period belonging to the mark of the network cell of quality monitoring and the monitoring data of user's selection Information, generates the monitor task of the network cell of pending quality monitoring.
It should be noted that NM server is operation maintenance center (Operation and Maintenance Center, OMC) in each network for being stored with belonging to the NM server it is small All statistical items of the area in preset time period.For example, NM server is stored with belonging to oneself Network cell in all statistical items at interval of 15 minutes, and the NM server can be by small When bulletin mode calculate and store those network cells per minor matter statistical items i.e. statistics.
102nd, according to the monitoring data of each network cell, the health degree of the network cell is determined.
For example, in the present embodiment, it can determine that each network is small according to following formula one The health degree in area;
H=∑s KQIi*RiFormula one
Wherein, H is the health degree of a network cell,
KQIiFor the score of the Key Quality of i-th dimension degree in the network cell, RiFor i-th dimension degree Key Quality weight, i is the natural number more than or equal to 1;
KQIi=∑ KPIij -
KPIij -For the actual score of the statistics of j-th of subitem of i-th dimension degree, KPIijFor i-th The actual measured value of the statistics of j-th of subitem of dimension, j is the natural number more than or equal to 1;
In actual measured value KPIijMore than or equal to corresponding predetermined target value TijWhen, KPIij -=Rij
In actual measured value KPIijLess than corresponding predetermined target value TijWhen, KPIij -=100 × (1- (desired value Tij- actual measured value KPIij)/desired value Tij)*Rij
RijFor the weight of the statistics of the jth subitem of i-th dimension degree, TijIt is used to comment to be default Actual measured value KPI described in valencyijDesired value.
103rd, according to the health degree of all-network cell, network cell off quality is determined, And the suggestion processing information of the network cell is generated for each network cell off quality.
For example, the health degree of all-network cell is compared with default full marks, it will be less than pre- If each network cell of full marks is used as network cell off quality;For each quality not The statistics of each subitem in qualified network cell, each Key Quality of examination per dimension The actual score of data, if the actual score of the subitem is less than the full marks of the subitem, performing should The analysis process of the statistics of subitem, generates the suggestion processing information of the network cell.
Or, in another scene, above-mentioned steps 103 may further be embodied as:All-network is small The health degree in area is ranked up according to order from small to large, and the network that selection comes top N is small Area is as network cell off quality, for each network cell off quality, sieve The actual score of the statistics of each subitem of every dimension in each Key Quality is looked into, if The actual score of the subitem is less than the full marks of the subitem, then performs point of the statistics of the subitem Analysis process, generates the suggestion processing information of the network cell.Above-mentioned N is positive integer.
The quality control method of the network cell of the present embodiment is by user it is determined that each network cell Monitor task after, obtain the monitoring data of those network cells, and then automatically analyze health Degree, network cell off quality is determined according to the health degree of analysis, and generate those networks The suggestion processing information of cell, thus can solve the quality monitoring system of network cell in the prior art The control real-time of system is not strong, it is impossible to the problem of ensureing quality monitoring and monitoring efficiency, maximum limit The duplication of labour for solving network maintenance staff in the prior art of degree, reduces the manpower of network operation Input, and improve O&M efficiency.
Fig. 2 shows the stream of the quality control method for the network cell that one embodiment of the invention is provided Journey schematic diagram, as shown in Fig. 2 the following institute of the quality control method of the network cell of the present embodiment State.
201st, mark, the Yi Jiyong of the network cell of the pending quality monitoring of user's selection are received Time segment information belonging to the monitoring data of family selection, the network for generating pending quality monitoring is small The monitor task in area.
That is, user can set the network cell pair of monitoring on the interface that server is shown As, and the effective time monitored, and then generate monitor task.
The monitor task of the present embodiment allows user to start or hang up, so that user changes.
202nd, when user determines the monitor task of each network cell, obtained from NM server The monitoring data of each network cell.
In the present embodiment, the monitoring data of each network cell is and the network cell The corresponding data of monitor task.
For example, the monitoring data of the present embodiment includes:Key Quality KQI, and it is crucial The corresponding each Key Performance Indicator KPI of mass term.
It is understood that KPI is some with predefined Key Performance Indicator (i.e. network manager service The statistical items defined on device).The KQI be a series of KPI of Key Quality Xiang Kewei with it is respective right Obtained after the weight calculation answered.
For example illustrate the example that a KPI and KQI is defined below:
203rd, according to the monitoring data of each network cell, the health degree of the network cell is determined.
(the Quality of of the user experience quality in health degree points-scoring system can be passed through in the present embodiment Experience, abbreviation QoE) parameter come configure participate in assess KPI and KPI between power Weight.That is, health degree is divided into many aspects KQI to consider.
Cell-level health degree H can be carried out by the mapping between KPI and KQI.By not With KPI be mapped to KQI when, be that each KPI and KQI defines different weight and coefficient, and It is weighted the concrete numerical value obtained to health degree H.
Mapping relations between KPI and KQI can be represented with following data matrix D [m × n]:
The weight and each KQI that each KPI accounts for correspondence KQI indexs account for the power of QoE indexs Again by configuring setting.The process that obtains QoE indexs it is following (wherein i ∈ [1, m], j ∈ [1, n]:
A, is decomposed into business QoE different KQIs and KPIs;
B, the weight for defining each KQI and KPI is RiAnd Rij
C, the score computation method of the KPI subitems of some dimension:
● obtain business each KPIijActual measured value and and desired value TijEnter Row compares;
KPIijActual measured value is better than desired value TijWhen, KPIij -Actual score=weight Rij(full marks);
● work as KPIijActual measured value is than desired value TijWhen poor, the KPIij -Actual Divide=100 × (1- (desired value Tij- actual value KPIij)/desired value Tij)*Rij
D, i score computation methods of KQI of some dimension:
KQIi=∑ KPIij -
E, the cell health degree H total score computational methods::
H=∑s KQIi*Ri
204th, according to the health degree of all-network cell, by the health degree of all-network cell and in advance If full marks are compared, using less than each network cell of default full marks as off quality Network cell, and it is directed to the suggestion that each network cell off quality generates the network cell Processing information.
Generally, after being identified in network cell (i.e. the poor cell of matter) off quality, typically Matter difference cell accounts for 20% less than all cells of the whole network.For the poor cell of these matter, also needs The reason for each cell matter is poor is analyzed, while specific treatment advice is supplied into network operation people Member.
If that is, the difference cell analysis of some matter is completed, finally aggregation process can advise, Generation problem work order, shown in following form one.
Table one:
In addition, in step 204, if the health degree H of some cell is less than full marks, certainly There is a certain KPI there is no full marks to cause.For this cell, differentiate that each KPI's meets feelings one by one Condition, is not analyzed if KPI full marks, and correspondence KPI point is entered if KPI does not have full marks Analyse flow, as shown in figure 4, and export analysis after suggestion processing information.Fig. 4 shows one The individual low KPI of handover success rate analysis process.
It should be noted that the various thresholdings shown in Fig. 4 are beforehand through system configuration, Revision can be needed according to Different field.
In a particular application, the KPI analyses not up to standard for needing to carry out three aspects:
(1) alarm data analysis, judgement associated alarm whether there is;
(2) configuration parameter is analyzed, the reasonableness check of related parameter configuration;
(3) analysis of statistical data, can there is the different aspects such as interference, capacity, switching, scrambler The analysis of statistical items.Different analysis process are designed depending on different KPI.
205th, according to the health degree of all-network cell, the health degree for obtaining all-network cell becomes Gesture variation diagram;Or, obtain the distribution map and/or form of network cell off quality.
It will be appreciated that obtained by calculating after health degree H of all cells in units of hour, Can obtain the poor cell list of matter, (definable matter difference cell is small less than full marks in the present embodiment Area).
The overall condition of system section is understood for convenience, can be to health degree H data according to going out Now the abnormal frequency is ranked up, and enumerates TOP10 cells, and customization can also be needed according to user The health degree H Long-term change trends of inquiry concern cell.
By health degree H basic datas, distribution map can be drawn, as shown in Figure 3A, that is, is set The fixed period provides the distribution of the different scores of health degree of setting range, is easy to fully understand net The health degree situation of network.
In addition, Fig. 3 B are shown for some specific network cell, select to cell health degree Score association different dimensions carry out trend analysis, and then understand the pass of KPI indexs and analysis dimension Connection relation.
Fig. 5 shows that the structure of the Quality Monitoring Control System of the network cell of one embodiment of the invention is shown It is intended to, as shown in figure 5, the Quality Monitoring Control System of the network cell of the present embodiment includes:Monitoring The poor cell determining unit 53 of data capture unit 51, health degree determining unit 52, matter;
Wherein, monitoring data acquiring unit 51 is used to determine that the monitoring of each network cell is appointed in user During business, the monitoring data of each network cell is obtained from NM server, each network is small The monitoring data in area is data corresponding with the monitor task of the network cell;
Health degree determining unit 52 is used for the monitoring data according to each network cell, determines the net The health degree of network cell;
Matter difference cell determining unit 53 is used for the health degree according to all-network cell, determines quality Underproof network cell, and it is small for each network cell off quality to generate the network The suggestion processing information in area.
Alternatively, scene is realized a kind of optional, the quality monitoring of above-mentioned network cell System may also include the monitor task generation unit 50 not shown in following figures;The monitor task Generation unit 50 is used for the mark for receiving the network cell for being used for the pending quality monitoring that user selects Time segment information belonging to the monitoring data of knowledge and user's selection, generates pending quality prison The monitor task of the network cell of control.
For example, foregoing health degree determining unit 52 can be specifically for true according to formula one The health degree of fixed each network cell;
H=∑s KQIi*RiFormula one
Wherein, H is the health degree of a network cell,
KQIiFor the score of the Key Quality of i-th dimension degree in the network cell, RiFor i-th dimension degree Key Quality weight, i is the natural number more than or equal to 1;
KQIi=∑ KPIij -
KPIij -For the actual score of the statistics of j-th of subitem of i-th dimension degree, KPIijFor i-th The actual measured value of the statistics of j-th of subitem of dimension, RijFor the jth subitem of i-th dimension degree Statistics weight, j is natural number more than or equal to 1;
In actual measured value KPIijMore than or equal to desired value TijWhen, KPIij -=Rij
In actual measured value KPIijLess than desired value TijWhen, KPIij -=100 × (1- (desired values Tij- actual measured value KPIij)/desired value Tij)*Rij
RijFor the weight of the statistics of the jth subitem of i-th dimension degree, TijIt is used to comment to be default Actual measured value KPI described in valencyijDesired value.
In another optional implementation, the poor cell determining unit 53 of foregoing matter can be used specifically In, the health degree of all-network cell is compared with default full marks, will be less than default full marks Each network cell be used as network cell off quality;For each off quality The statistics of each subitem in network cell, each Key Quality of examination per dimension Actual score, if the actual score of the subitem is less than the full marks of the subitem, performs the subitem The analysis process of statistics, generates the suggestion processing information of the network cell.
In other realize scene, the poor cell determining unit 53 of foregoing matter can be specifically for inciting somebody to action The health degree of all-network cell is ranked up according to order from small to large, and selection comes preceding N The network cell of position is as network cell off quality, for each net off quality The reality of the statistics of each subitem in network cell, each Key Quality of examination per dimension Border score, if the actual score of the subitem is less than the full marks of the subitem, performs the system of the subitem The analysis process counted, generates the suggestion processing information of the network cell.
In a particular application, the system shown in earlier figures 5 may also include the displaying not shown in figure Unit;The display unit can be specifically for determining that each network is small in the health degree determining unit After the health degree in area, according to the health degree of all-network cell, all-network cell is obtained Health degree Long-term change trend figure;
Or, according to the health degree of all-network cell, obtain network cell off quality Distribution map and/or form.
The Quality Monitoring Control System of network cell shown in Fig. 5 can perform shown in earlier figures 1 or Fig. 2 Embodiment of the method in content, be no longer described in detail at this.
The Quality Monitoring Control System of the network cell of the present embodiment, by the work of commodity network attendant Work is realized automatically by software, and network maintenance staff's duplication of labour is solved to greatest extent, is reduced The human input of network operation, the monitoring for efficiently realizing network quality is analyzed by big data, is carried High O&M efficiency.
In addition, the present invention also provides a kind of server, it may include described in above-mentioned any embodiment The Quality Monitoring Control System of network cell.
In a particular application, the server can be NM server, now can be directly by correspondence The APP of function is that method program is deployed on OMC servers, can also be other independent clothes Business device, other servers can interact to obtain foregoing monitoring data with NM server.
Thus, the server of the present embodiment can solve network maintenance staff to greatest extent and repeat labor It is dynamic, reduce the human input of network operation.In addition, above-mentioned monitoring system is supervised in units of hour Cell health degree is controlled, current data can just be monitored in next hour, and promptness is preferable.
Although in addition, it will be appreciated by those of skill in the art that some embodiments described herein Including some features rather than further feature included in other embodiments, but difference is implemented The combination of the feature of example means to be within the scope of the present invention and forms different implementations Example.For example, in the following claims, embodiment claimed it is one of any Mode it can use in any combination.
It should be noted that the present invention will be described rather than the present invention is carried out for above-described embodiment Limit, and those skilled in the art without departing from the scope of the appended claims may be used Design alternative embodiment.In the claims, should not be by any reference between bracket Symbol construction is into limitations on claims.Word "comprising" do not exclude the presence of be not listed in right will Element or step in asking.Word "a" or "an" before element does not exclude the presence of multiple Such element.The present invention can by means of include some different elements hardware and by Realized in properly programmed computer.In if the unit claim of equipment for drying is listed, Several in these devices can be embodied by same hardware branch.Word first, Second and third use do not indicate that any order.These words can be construed to title.
Finally it should be noted that:Various embodiments above is merely illustrative of the technical solution of the present invention, Rather than its limitations;Although the present invention is described in detail with reference to foregoing embodiments, It will be understood by those within the art that:It still can be to described in foregoing embodiments Technical scheme modify, or which part or all technical characteristic are equally replaced Change;And these modifications or replacement, the essence of appropriate technical solution is departed from present invention power Profit requires limited range.

Claims (13)

1. a kind of quality control method of network cell, it is characterised in that including:
When user determines the monitor task of each network cell, the monitoring data of each network cell is obtained from NM server, the monitoring data of each network cell is data corresponding with the monitor task of the network cell;
According to the monitoring data of each network cell, the health degree of the network cell is determined;
According to the health degree of all-network cell, network cell off quality is determined, and be directed to the suggestion processing information that each network cell off quality generates the network cell.
2. according to the method described in claim 1, it is characterised in that it is described each network cell is obtained from NM server monitoring data the step of before, methods described also includes:
The time segment information belonging to monitoring data that the mark and user for receiving the network cell of the pending quality monitoring of user's selection are selected, generates the monitor task of the network cell of pending quality monitoring.
3. according to the method described in claim 1, it is characterised in that according to the monitoring data of each network cell, the step of determining the health degree of the network cell, including:
The health degree of each network cell is determined according to formula one;
H=∑s KQIi*RiFormula one
Wherein, H is the health degree of a network cell,
KQIiFor the score of the Key Quality of i-th dimension degree in the network cell, RiFor the weight of the Key Quality of i-th dimension degree, i is the natural number more than or equal to 1;
KQIi=∑ KPIij -
KPIij -For the actual score of the statistics of j-th of subitem of i-th dimension degree, KPIijFor the actual measured value of the statistics of j-th of subitem of i-th dimension degree, j is the natural number more than or equal to 1;
In actual measured value KPIijMore than or equal to desired value TijWhen, KPIij -=Rij
In actual measured value KPIijLess than desired value TijWhen, KPIij -=100 × (1- (desired value Tij- actual measured value KPIij)/desired value Tij)*Rij
RijFor the weight of the statistics of the jth subitem of i-th dimension degree, TijIt is used to evaluate the actual measured value KPI to be defaultijDesired value.
4. according to any described method of claims 1 to 3, it is characterised in that according to the health degree of all-network cell, the step of determining network cell off quality, including:
The health degree of all-network cell is compared with default full marks, each network cell less than default full marks is regard as network cell off quality;
Or,
The health degree of all-network cell is ranked up according to order from small to large, selection comes the network cell of top N as network cell off quality, and N is positive integer.
5. according to any described method of claims 1 to 3, it is characterised in that according to the monitoring data of each network cell, after the step of determining the health degree of the network cell, methods described also includes:
According to the health degree of all-network cell, the health degree Long-term change trend figure of all-network cell is obtained;
Or,
According to the health degree of all-network cell, the distribution map and/or form of network cell off quality are obtained.
6. method according to claim 3, it is characterised in that the step of generating the suggestion processing information of the network cell for each network cell off quality, including:
For each network cell off quality, the actual score of the statistics of each subitem in each Key Quality of examination per dimension, if the actual score of the subitem is less than the full marks of the subitem, the analysis process of the statistics of the subitem is then performed, the suggestion processing information of the network cell is generated.
7. a kind of Quality Monitoring Control System of network cell, it is characterised in that including:
When monitoring data acquiring unit, monitor task for determining each network cell in user, the monitoring data of each network cell is obtained from NM server, the monitoring data of each network cell is data corresponding with the monitor task of the network cell;
Health degree determining unit, for the monitoring data according to each network cell, determines the health degree of the network cell;
Matter difference cell determining unit, for the health degree according to all-network cell, determines network cell off quality, and be directed to the suggestion processing information that each network cell off quality generates the network cell.
8. system according to claim 7, it is characterised in that the system also includes:
Monitor task generation unit, the time segment information belonging to monitoring data that mark and user for receiving the network cell for being used for the pending quality monitoring that user selects are selected, generates the monitor task of the network cell of pending quality monitoring.
9. system according to claim 7, it is characterised in that the health degree determining unit, specifically for
The health degree of each network cell is determined according to formula one;
H=∑s KQIi*RiFormula one
Wherein, H is the health degree of a network cell,
KQIiFor the score of the Key Quality of i-th dimension degree in the network cell, RiFor the weight of the Key Quality of i-th dimension degree, i is the natural number more than or equal to 1;
KQIi=∑ KPIij -
KPIij -For the actual score of the statistics of j-th of subitem of i-th dimension degree, KPIijFor the actual measured value of the statistics of j-th of subitem of i-th dimension degree, j is the natural number more than or equal to 1;
In actual measured value KPIijMore than or equal to desired value TijWhen, KPIij -=Rij
In actual measured value KPIijLess than desired value TijWhen, KPIij -=100 × (1- (desired value Tij- actual measured value KPIij)/desired value Tij)*Rij
RijFor the weight of the statistics of the jth subitem of i-th dimension degree, TijIt is used to evaluate the actual measured value KPI to be defaultijDesired value.
10. according to any described system of claim 7 to 9, it is characterised in that the poor cell determining unit of the matter, specifically for
The health degree of all-network cell is compared with default full marks, each network cell less than default full marks is regard as network cell off quality;
Or,
The health degree of all-network cell is ranked up according to order from small to large, selection comes the network cell of top N as network cell off quality, and N is positive integer.
11. according to any described system of claim 7 to 9, it is characterised in that the system also includes:Display unit;
The display unit, after determining the health degree of each network cell in the health degree determining unit, according to the health degree of all-network cell, obtains the health degree Long-term change trend figure of all-network cell;
Or,
According to the health degree of all-network cell, the distribution map and/or form of network cell off quality are obtained.
12. system according to claim 9, it is characterised in that the poor cell determining unit of the matter, specifically for
For each network cell off quality, the actual score of the statistics of each subitem in each Key Quality of examination per dimension, if the actual score of the subitem is less than the full marks of the subitem, the analysis process of the statistics of the subitem is then performed, the suggestion processing information of the network cell is generated.
13. a kind of server, it is characterised in that include the Quality Monitoring Control System of above-mentioned power 7 to any described network cell of power 12.
CN201610088071.0A 2016-02-16 2016-02-16 Quality control method and monitoring system, the server of a kind of network cell Pending CN107087284A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109996277A (en) * 2017-12-29 2019-07-09 中国移动通信集团北京有限公司 A kind of method and device judging matter difference cell
CN111917597A (en) * 2019-05-08 2020-11-10 中国移动通信集团福建有限公司 Broadband service monitoring method and equipment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090052330A1 (en) * 2005-06-02 2009-02-26 Nec Corporation Anomaly detection method and system and maintenance method and system
CN103002495A (en) * 2012-12-25 2013-03-27 中国联合网络通信集团有限公司 Assessment method and device of wireless network structure
CN104320795A (en) * 2014-10-17 2015-01-28 四川公用信息产业有限责任公司 Evaluation method for health degree of multidimensional wireless network

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090052330A1 (en) * 2005-06-02 2009-02-26 Nec Corporation Anomaly detection method and system and maintenance method and system
CN103002495A (en) * 2012-12-25 2013-03-27 中国联合网络通信集团有限公司 Assessment method and device of wireless network structure
CN104320795A (en) * 2014-10-17 2015-01-28 四川公用信息产业有限责任公司 Evaluation method for health degree of multidimensional wireless network

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109996277A (en) * 2017-12-29 2019-07-09 中国移动通信集团北京有限公司 A kind of method and device judging matter difference cell
CN109996277B (en) * 2017-12-29 2022-05-10 中国移动通信集团北京有限公司 Method and device for judging poor quality cell
CN111917597A (en) * 2019-05-08 2020-11-10 中国移动通信集团福建有限公司 Broadband service monitoring method and equipment
CN111917597B (en) * 2019-05-08 2022-02-22 中国移动通信集团福建有限公司 Broadband service monitoring method and equipment

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