CN104270785A - Wireless network region problem positioning method based on geography grid aggregation - Google Patents
Wireless network region problem positioning method based on geography grid aggregation Download PDFInfo
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- CN104270785A CN104270785A CN201410550457.XA CN201410550457A CN104270785A CN 104270785 A CN104270785 A CN 104270785A CN 201410550457 A CN201410550457 A CN 201410550457A CN 104270785 A CN104270785 A CN 104270785A
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000004220 aggregation Methods 0.000 title abstract 3
- 230000002776 aggregation Effects 0.000 title abstract 3
- 230000004931 aggregating effect Effects 0.000 claims description 6
- 240000007594 Oryza sativa Species 0.000 claims description 2
- 235000007164 Oryza sativa Nutrition 0.000 claims description 2
- 230000002093 peripheral effect Effects 0.000 claims description 2
- 235000009566 rice Nutrition 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 4
- 238000006116 polymerization reaction Methods 0.000 description 4
- 238000005457 optimization Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
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Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
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Abstract
The invention discloses a wireless network region problem positioning method based on geography grid aggregation. Fault data received by a system are classified based on dimensionality and are then embedded into grids, all the grids are processed by utilizing a grid grading algorithm and a grid aggregation algorithm, a problem area is formed by the processed grids, a picture is generated by the problem area through an ArcGis geography processing service, longitude and latitude coordinates of the picture are labeled, and the picture is presented in a geography position coordinate superimposing mode on a map. Thus, laying showing of an initial multidimensional single data picture is evolved into presenting of the single picture with multidimensional data, the workload is reduced, the overall condition of a fault area can be totally reflected, and the wireless network region problem positioning method can adapt to the increasing trend of social network information nowadays.
Description
Technical field
The invention belongs to wireless network communication technique field, more specifically say, relate to a kind of wireless network region positioning problems method of being polymerized based on geographical grid.
Background technology
In the network optimization application of telecom operators, traditional data rasterizing GIS presents and the one-dimensional degrees of data in network can only be embedded in a grid, and presented by GIS mode, can on graphic interface the present situation of clear acquisition network, but then must generate different multiple grids for the data of different dimensions, thus generate multiple pictures, presented by the GIS mode of layering.Comprise the information such as telephone traffic, network performance, user, be supplied to staff's reference, analyze.
Along with data rasterizing GIS is presented on the popularization in network optimization application, the dimension of network failure is also in continuous increase, along with the continuous increase of application demand, if show that on GIS more how dissimilar fault data analyzes network problem, orientation problem reason, is shown by more multi-layer image with regard to needs; Be shown to multi-dimensional data analysis from initial single data picture like this, not only increase workload, the overall condition of fault section can't be reflected completely.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of wireless network region positioning problems method of being polymerized based on geographical grid is provided, after fault data is carried out rasterizing process, presented by GIS mode, not only reduce workload, and the integral status of fault section can be reflected accurately.
For achieving the above object, a kind of wireless network region positioning problems method of being polymerized based on geographical grid of the present invention, is characterized in that, comprise the following steps:
(1), by the region that system covers be divided into the identical rectangular block of size according to the latitude and longitude coordinates in map, each rectangular block is designated as a grid;
(2), fault data preliminary treatment
2.1), by the fault data of system acceptance classify according to dimension, the fault data of same dimension is divided into a class, is designated as L
i, i=1,2 ..., n, n represent the number of dimension;
2.2), at first kind fault data L
1in, read the latitude and longitude information carried in every bar fault data successively, recycle this latitude and longitude information, every bar fault data is embedded in corresponding grid according to dimension; Treat first kind fault data L
1after having processed, then process next class fault data, and be embedded in grid according to the dimension of correspondence, to the last a class fault data L
n;
(3), utilize grid scoring algorithm to carry out scoring to the fault data be embedded in grid to estimate;
(4), utilize grid aggregating algorithm to be polymerized the grid after scoring process, form problem area;
(5), utilize ArcGis geography process service by problem area generating pictures, mark out the latitude and longitude coordinates of picture, then picture is presented by the mode superposed by geographical position coordinates on map.
Goal of the invention of the present invention is achieved in that
The present invention is based on the wireless network region positioning problems method of geographical grid polymerization, by the fault data of system acceptance by being embedded in grid after dimension classification, recycling grid scoring algorithm and grid aggregating algorithm process all grids, by the grid problematic areas after process, utilize ArcGis geography process service by problem area generating pictures, mark out the latitude and longitude coordinates of picture, then picture is presented by the mode superposed by geographical position coordinates on map.Like this layering of single for initial various dimensions data picture is shown that the single picture developing multi-dimensional data presents, not only reduce workload, the overall condition of fault section can also be reflected completely, the trend that the society network information is growing can be adapted to.
Meanwhile, the wireless network region positioning problems method that the present invention is based on the polymerization of geographical grid also has following beneficial effect:
(1), change traditional one-dimensional degree fault data and the one-to-one relationship of grid, now different dimensions fault data is embedded in a grid according to identical longitude and latitude simultaneously;
(2), traditional fault presentation mode is presented by a layer by each one-dimensional degree fault data, and the multi-dimensional data of adjacent area is polymerized by the present invention, thus formation problem area, again problem area is generated single picture, only individual layer presents, this not only reduces workload, better reflect the state of whole fault zone simultaneously.
Accompanying drawing explanation
Fig. 1 is the wireless network region positioning problems method flow diagram that the present invention is based on the polymerization of geographical grid;
Fig. 2 is the division schematic diagram of fault data according to different dimensions;
Fig. 3 is the schematic diagram of regional faults.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described, so that those skilled in the art understands the present invention better.Requiring particular attention is that, in the following description, when perhaps the detailed description of known function and design can desalinate main contents of the present invention, these are described in and will be left in the basket here.
Embodiment
Fig. 1 is the wireless network region positioning problems method flow diagram that the present invention is based on the polymerization of geographical grid.
In the present embodiment, as shown in Figure 1, a kind of wireless network region positioning problems method of being polymerized based on geographical grid of the present invention, comprises the following steps:
ST1), by the region that system covers be divided into the identical rectangular block of size according to the latitude and longitude coordinates in map, each rectangular block is designated as a grid;
In the present embodiment, the Region dividing that system covers is become the rectangular block of 100*100;
ST2), fault data preliminary treatment
ST2.1), by the fault data of system acceptance classify according to dimension, the fault data of same dimension is divided into a class, is designated as L
i, i=1,2 ..., n, n represent the number of dimension;
In the present embodiment, the 1X network failure data of system acceptance are poor according to call drop, voice quality, access failure 3 dimensions divide, and DO network failure data according to going offline, connection failure, low 3 dimensions of speed divide;
ST2.2), at first kind fault data L
1in, read the latitude and longitude information carried in every bar fault data successively, recycle this latitude and longitude information, every bar fault data is embedded in corresponding grid according to dimension; Treat first kind fault data L
1after having processed, then process next class fault data, and be embedded in grid according to the dimension of correspondence, to the last a class fault data L
n;
In the present embodiment, as shown in Figure 2, the fault data of all call drops is classified as the first kind, is designated as L
1, the fault data of all voice quality differences is classified as Equations of The Second Kind, is designated as L
2, the fault data of all access failures is classified as the 3rd class, is designated as L
3;
With first kind L
1for example, system, by receiving in a large number about the ticket information of call drop, carries latitude and longitude information and data target information, recycles this latitude and longitude information, be embedded in corresponding grid by the ticket information of every bar ticket according to dimension in every bar ticket information;
ST3), utilize grid scoring algorithm to carry out scoring to the fault data be embedded in grid to estimate;
Step ST2.2) in each grid embed various faults data according to different latitude, therefore, need to make comprehensive grading to grid, utilize grid scoring algorithm to carry out scoring to grid below and process as follows:
ST3.1) grid scoring algorithm model, is first set up
V=K
1X
1+K
2X
2+…+K
kX
k
Wherein, V is grid assessment mark, X
1~ X
krepresent the every data target in grid, K
1~ K
krepresent X
1~ X
kcorresponding weight coefficient, k=1,2 ..., N, N represent the fault data number of different dimensions in single grid;
In the present embodiment, fault data is that, access failure, 3 dimensions poor according to call drop, voice quality divide, and therefore, the maximum occurrences of k is 3, X
1~ X
3represent that call drop in grid, voice quality are poor, the data target of access failure;
ST3.2), utilize grid scoring algorithm model to carry out scoring to all grids to estimate;
ST3.3), interval can be carried out to the appraisal result of grid to present:
Burning issue A: scoring <=α;
Major issue B: α < scoring <=β;
Peripheral issue C: β < scoring <=γ;
Wherein, α, β, γ are respectively the threshold coefficient of grid scoring, and concrete large I is arranged, and in the present embodiment, the threshold values of α, β, γ is set to 30,50,80 respectively;
ST4), utilize grid aggregating algorithm to be polymerized the grid after scoring process, form problem area;
By the grid after step ST3 process, be polymerized by grid aggregating algorithm, by grid from a single point, intelligence aggregates into region, then presents in the mode of GIS, realizes staff really to the location of network area problem, is convenient to the analysis to network problem.Specific algorithm is as follows:
ST4.1), choose any one grid as a reference, by neighbor distance in H rice, and the grid meeting grid appraisal result is polymerized, thus forms a problem points;
In the present embodiment, the value of H is 500 meters, and therefore, take reference point as the center of circle, radius is in the circle of 500 meters, is polymerized by all grids meeting grid appraisal result, thus forms a problem points;
ST4.2), set threshold values M, problem points grid number in problem points being less than threshold values M is deleted, and problem points grid number in problem points being more than or equal to threshold values M retains, thus forms problem area.
In the present embodiment, threshold values M is set to 5, and the problem points grid number in problem points being less than threshold values 5 is deleted, and problem points grid number in problem points being more than or equal to threshold values 5 retains, thus forms problem area;
ST5), utilize ArcGis geography process service by problem area generating pictures, mark out the latitude and longitude coordinates of picture, then picture is presented by the mode superposed by geographical position coordinates on map, as shown in Figure 3.
Although be described the illustrative embodiment of the present invention above; so that those skilled in the art understand the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various change to limit and in the spirit and scope of the present invention determined, these changes are apparent, and all innovation and creation utilizing the present invention to conceive are all at the row of protection in appended claim.
Claims (3)
1., based on the wireless network region positioning problems method that geographical grid is polymerized, it is characterized in that, comprise the following steps:
(1), by the region that system covers be divided into the identical rectangular block of size according to the latitude and longitude coordinates in map, each rectangular block is designated as a grid;
(2), fault data preliminary treatment
2.1), by the fault data of system acceptance classify according to dimension, the fault data of same dimension is divided into a class, is designated as L
i, i=1,2 ..., n, n represent the number of dimension;
2.2), at first kind fault data L
1in, read the latitude and longitude information carried in every bar fault data successively, recycle this latitude and longitude information, every bar fault data is embedded in corresponding grid according to dimension; Treat first kind fault data L
1after having processed, then process next class fault data, and be embedded in grid according to the dimension of correspondence, to the last a class fault data L
n;
(3), utilize grid scoring algorithm to carry out scoring to the fault data be embedded in grid to estimate;
(4), utilize grid aggregating algorithm to be polymerized the grid after scoring process, form problem area;
(5), utilize ArcGis geography process service by problem area generating pictures, mark out the latitude and longitude coordinates of picture, then picture is presented by the mode superposed by geographical position coordinates on map.
2. wireless network region positioning problems method of being polymerized based on geographical grid according to claim 1, it is characterized in that, described grid scoring algorithm is:
S1) grid scoring algorithm model, is set up
V=K
1X
1+K
2X
2+…+K
kX
k
Wherein, V is grid assessment mark, X
1~ X
krepresent the every fault data in grid, K
1~ K
krepresent X
1~ X
kcorresponding weight coefficient, k=1,2 ..., N, N represent the fault data number of different dimensions in single grid;
S2), utilize grid scoring algorithm model to carry out scoring to all grids to estimate;
S3), interval can be carried out to the appraisal result of grid to present:
Burning issue A: scoring <=α;
Major issue B: α < scoring <=β;
Peripheral issue C: β < scoring <=γ;
Wherein, α, β, γ are respectively the threshold coefficient of grid scoring, and concrete large I is arranged.
3. wireless network region positioning problems method of being polymerized based on geographical grid according to claim 1, it is characterized in that, described grid aggregating algorithm is:
T1), choose any one grid as a reference, by neighbor distance in H rice, and the grid meeting grid appraisal result is polymerized, thus forms a problem points;
T2), set threshold values M, problem points grid number in problem points being less than threshold values M is deleted, and problem points grid number in problem points being more than or equal to threshold values M retains, thus forms problem area.
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Cited By (11)
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CN105188030A (en) * | 2015-08-21 | 2015-12-23 | 北京拓明科技有限公司 | Geographic grid mapping method of mobile network data |
CN105376771A (en) * | 2015-10-20 | 2016-03-02 | 四川公用信息产业有限责任公司 | Method for evaluating degree of influence of earthquake on suffered region based on communication data |
CN105959965A (en) * | 2016-07-16 | 2016-09-21 | 王晓刚 | Wireless mobile network analysis method and apparatus |
WO2017193554A1 (en) * | 2016-05-12 | 2017-11-16 | 中兴通讯股份有限公司 | Area merging method and device |
CN107396385A (en) * | 2017-08-25 | 2017-11-24 | 中国联合网络通信集团有限公司 | Mobile network quality detection method and device |
WO2018001141A1 (en) * | 2016-06-28 | 2018-01-04 | 中兴通讯股份有限公司 | Method, apparatus and system for analyzing low-quality area |
CN108512712A (en) * | 2017-02-27 | 2018-09-07 | 中国移动通信有限公司研究院 | The visible processing method and device of a kind of business and network quality data |
CN110555452A (en) * | 2018-06-04 | 2019-12-10 | 北京亿阳信通科技有限公司 | network problem processing method and device based on intelligent clustering |
CN110675728A (en) * | 2018-07-03 | 2020-01-10 | 百度在线网络技术(北京)有限公司 | Generation method, device and equipment of thermodynamic diagram and computer readable storage medium |
CN112785746A (en) * | 2020-12-24 | 2021-05-11 | 京东方科技集团股份有限公司 | Intelligent inspection method, device, equipment and storage medium |
CN113945888A (en) * | 2021-10-19 | 2022-01-18 | 江南大学 | Interval passive positioning method and system based on TDOA |
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Cited By (14)
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CN105188030A (en) * | 2015-08-21 | 2015-12-23 | 北京拓明科技有限公司 | Geographic grid mapping method of mobile network data |
CN105188030B (en) * | 2015-08-21 | 2018-12-28 | 北京拓明科技有限公司 | A kind of method that mobile network data carries out geographical grid mapping |
CN105376771A (en) * | 2015-10-20 | 2016-03-02 | 四川公用信息产业有限责任公司 | Method for evaluating degree of influence of earthquake on suffered region based on communication data |
WO2017193554A1 (en) * | 2016-05-12 | 2017-11-16 | 中兴通讯股份有限公司 | Area merging method and device |
WO2018001141A1 (en) * | 2016-06-28 | 2018-01-04 | 中兴通讯股份有限公司 | Method, apparatus and system for analyzing low-quality area |
CN105959965A (en) * | 2016-07-16 | 2016-09-21 | 王晓刚 | Wireless mobile network analysis method and apparatus |
CN108512712A (en) * | 2017-02-27 | 2018-09-07 | 中国移动通信有限公司研究院 | The visible processing method and device of a kind of business and network quality data |
CN107396385A (en) * | 2017-08-25 | 2017-11-24 | 中国联合网络通信集团有限公司 | Mobile network quality detection method and device |
CN107396385B (en) * | 2017-08-25 | 2020-02-11 | 中国联合网络通信集团有限公司 | Mobile network quality detection method and device |
CN110555452A (en) * | 2018-06-04 | 2019-12-10 | 北京亿阳信通科技有限公司 | network problem processing method and device based on intelligent clustering |
CN110675728A (en) * | 2018-07-03 | 2020-01-10 | 百度在线网络技术(北京)有限公司 | Generation method, device and equipment of thermodynamic diagram and computer readable storage medium |
CN110675728B (en) * | 2018-07-03 | 2021-08-31 | 百度在线网络技术(北京)有限公司 | Generation method, device and equipment of thermodynamic diagram and computer readable storage medium |
CN112785746A (en) * | 2020-12-24 | 2021-05-11 | 京东方科技集团股份有限公司 | Intelligent inspection method, device, equipment and storage medium |
CN113945888A (en) * | 2021-10-19 | 2022-01-18 | 江南大学 | Interval passive positioning method and system based on TDOA |
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