CN109743743A - Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance - Google Patents

Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance Download PDF

Info

Publication number
CN109743743A
CN109743743A CN201811434183.2A CN201811434183A CN109743743A CN 109743743 A CN109743743 A CN 109743743A CN 201811434183 A CN201811434183 A CN 201811434183A CN 109743743 A CN109743743 A CN 109743743A
Authority
CN
China
Prior art keywords
grid
sampled point
network performance
latitude
longitude
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811434183.2A
Other languages
Chinese (zh)
Inventor
李晓辉
刘伏根
郑乃波
伍求礼
胡勇
范秋阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhong Tong Clothing Construction Co Ltd
China ComService Construction Co Ltd
Original Assignee
Zhong Tong Clothing Construction Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhong Tong Clothing Construction Co Ltd filed Critical Zhong Tong Clothing Construction Co Ltd
Priority to CN201811434183.2A priority Critical patent/CN109743743A/en
Publication of CN109743743A publication Critical patent/CN109743743A/en
Pending legal-status Critical Current

Links

Landscapes

  • Mobile Radio Communication Systems (AREA)

Abstract

The rasterizing monitoring method of network performance provided by the invention, comprising: acquire measurement report data to be monitored, extract several sample point datas in measurement report to be monitored;Obtain the electronic map information in region to be monitored, map longitude and latitude is converted into plane right-angle coordinate, and plane right-angle coordinate is divided into the grid of several same sizes according to pre-set dimension, the sampled point longitude and latitude of sampled point is calculated according to sampled point distance and base station shooting angle, grid corresponding with sampled point is matched in plane right-angle coordinate according to sampled point longitude and latitude, map longitude and latitude, each grid simulation value is calculated according to number of sampling points and accumulated value;By the fusion of grid simulation value in grid.The rasterizing monitoring method of network performance provided by the invention realizes the geographical rasterizing of the network performance of all sampled points, and the sensory experience of the corresponding user of sampled point is presented on map, for assessing network quality, provides decision support for network optimization.

Description

Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance
Technical field
The present invention relates to the rasterizing monitoring method of network performance monitoring field more particularly to network performance, electronic equipment, Storage medium and system.
Background technique
The method mainly or by DT or CQT tested for the field network monitoring means of mobile communication in the industry at present, DT (DRIVE TEST), popular saying is exactly drive test, also referred to as drives to test, in order to grasp network signal quality, level, covering etc. Situation, the special test that road is carried out using special test equipment, by driving to carry Radio Test Equipment along certain road A kind of method of traveling measurement wireless network performance, actual user is simulated in drive test, ceaselessly dials voice with mobile terminal Phone carries out data service application, constantly uploads or downloads different size of file, carry out signaling by test software Acquisition and statistical analysis the problem of obtaining network performance statistical indicator, find network, provide real data branch for optimization Support.And CQT (CALL QUALITY TEST), as speech quality test (Call Quality Test) are usually using fixed point A kind of applied in network performance test that the mode dialed is carried out is important means, the significant terms of routine optimization for assessing Network status Mesh.But current DT or CQT test method is unable to measure the network performance of the full dose user of same panel region, test result It is not comprehensive enough, it will to omit many network problems.
Summary of the invention
For overcome the deficiencies in the prior art, one of the objects of the present invention is to provide the rasterizing monitoring sides of network performance Method can solve the network performance that current DT or CQT test method is unable to measure the full dose user of same panel region, test knot Fruit is not comprehensive enough, it will the problem of omitting many network problems.
The second object of the present invention is to provide a kind of electronic equipment, can solve current DT or CQT test method without Method measures the network performance of the full dose user of same panel region, and test result is not comprehensive enough, it will omits many network problems Problem.
The third object of the present invention is to provide a kind of computer readable storage medium, can solve current DT or CQT Test method is unable to measure the network performance of the full dose user of same panel region, and test result is not comprehensive enough, it will omits very much The problem of network problem.
The fourth object of the present invention is to provide the rasterizing monitoring system of network performance, can solve current DT or CQT test method is unable to measure the network performance of the full dose user of same panel region, and test result is not comprehensive enough, it will omits very The problem of Multi net voting problem.
The present invention provides the first purpose and is implemented with the following technical solutions:
The rasterizing monitoring method of network performance, comprising the following steps:
Measurement report data acquisition, acquire the region to be monitored stored in the wireless operation maintenance center of operator wait supervise Measurement report data is surveyed, contains several sample point datas in the measurement report data to be monitored;
Sample point data is extracted, and several sample point datas in the measurement report to be monitored are extracted, wherein each described Sample point data includes multiple network performance number, sampled point distance and base station shooting angle;
Electronic map information obtains, and obtains the electronic map information in the region to be monitored, wherein the electronic map is believed Breath includes map longitude and latitude;
The physical and chemical projection in grid ground, is converted to plane right-angle coordinate for the map longitude and latitude, and will according to pre-set dimension The plane right-angle coordinate is divided into the grid of several same sizes, chooses any one longitude and latitude in the map longitude and latitude As the coordinate origin of the plane right-angle coordinate, the coordinate of the grid is determined according to the coordinate origin;
The mapping of sampled point grid, calculates adopting for the sampled point according to the sampled point distance and the base station shooting angle Sampling point longitude and latitude matches and institute according to the sampled point longitude and latitude, the map longitude and latitude in the plane right-angle coordinate State the corresponding grid of sampled point;
Grid simulation value calculates, and counts the number of the corresponding sampled point of each grid, obtains number of sampling points, The accumulated value for calculating the network performance value of the corresponding all sampled points of each grid, according to the sampled point Each grid simulation value is calculated in the several and described accumulated value;
Grid visualization, in the grid by grid simulation value fusion.
Further, the measurement report data acquisition further includes clear to the measurement report data progress data to be monitored Processing is washed, the sample point data for not meeting preset requirement in the measurement report data to be monitored is rejected.
Further, the grid simulation value is the ratio of the accumulated value and the number of sampling points.
Further, the rasterizing specifically: the grid simulation value is compared with preset threshold, and according to than The grid simulation value and pre-set color type are established matching relationship by relatively result, in the grid according to the matching relationship The corresponding color of corresponding pre-set color type is filled, every kind of grid simulation value corresponds to a kind of pre-set color type.
Further, each grid corresponds at least one described sampled point.
The present invention provides the second purpose and is implemented with the following technical solutions:
A kind of electronic equipment, comprising: processor;
Memory;And program, wherein described program is stored in the memory, and is configured to by processor It executes, described program includes the rasterizing monitoring method for executing network performance in the application.
The present invention provides the third purpose and is implemented with the following technical solutions:
A kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: the computer program It is executed by processor the rasterizing monitoring method of network performance in the application.,
The present invention provides the fourth purpose and is implemented with the following technical solutions:
The rasterizing of network performance monitors system, including measurement report data acquisition module, the measurement report data are adopted Collection module is used to acquire the measurement report data to be monitored in the region to be monitored stored in the wireless operation maintenance center of operator;
Sample point data extraction module, the sample point data extraction module is for extracting in the measurement report to be monitored Several sample point datas, wherein each sample point data include multiple network performance number, sampled point distance and base station Shooting angle;
Electronic map information obtains module, and the electronic map information obtains module for obtaining the region to be monitored Electronic map information, wherein the electronic map information includes map longitude and latitude;
The physical and chemical projection module in grid ground, the grid physical and chemical projection module it is flat for being converted to the map longitude and latitude Face rectangular coordinate system, and the plane right-angle coordinate is divided into according to pre-set dimension the grid of several same sizes, it chooses Coordinate origin of any one longitude and latitude as the plane right-angle coordinate in the map longitude and latitude, it is former according to the coordinate Point determines the coordinate of the grid;
Sampled point grid mapping block, the sampled point grid mapping block are used for according to the sampled point distance and described Base station shooting angle calculates the sampled point longitude and latitude of the sampled point, according to the sampled point longitude and latitude, the map longitude and latitude Grid corresponding with the sampled point is matched in the plane right-angle coordinate;
Grid simulation value computing module, the grid simulation value computing module is for counting the corresponding institute of each grid The number for stating sampled point obtains number of sampling points, calculates the network of the corresponding all sampled points of each grid The accumulated value of performance number is calculated each grid according to the number of sampling points and the accumulated value and emulates Value;
Grid visualization model, the grid visualization model are used to merge the grid simulation value in the grid In.
Further, the grid simulation value computing module includes statistic unit and computing unit, and the statistic unit is used In the number of sampling points for counting the corresponding sampled point in each grid, the computing unit is for calculating each grid In corresponding all sampled points the network performance value accumulated value, according to the number of sampling points and described cumulative Each grid simulation value is calculated in value.
Further, the measurement report data acquisition module is also used to count the measurement report data to be monitored According to cleaning treatment.
Compared with prior art, the beneficial effects of the present invention are the rasterizing monitoring method of network performance of the invention, packets It includes: acquiring the measurement report data to be monitored in the region to be monitored stored in the wireless operation maintenance center of operator, it is to be monitored Contain several sample point datas in measurement report data;Extract several sample point datas in measurement report to be monitored, wherein every A sample point data includes multiple network performance number, sampled point distance and base station shooting angle;Obtain the electricity in region to be monitored Sub- cartographic information, wherein electronic map information includes map longitude and latitude;Map longitude and latitude is converted into plane right-angle coordinate, and Plane right-angle coordinate is divided into the grid of several same sizes according to pre-set dimension, is chosen any one in map longitude and latitude Coordinate origin of the longitude and latitude as plane right-angle coordinate, the coordinate of grid is determined according to coordinate origin;According to sampled point distance The sampled point longitude and latitude that sampled point is calculated with base station shooting angle, according to sampled point longitude and latitude, map longitude and latitude in flat square Coordinate system matching goes out grid corresponding with sampled point;The number for counting the corresponding sampled point of each grid calculates each grid pair It is imitative that each grid is calculated according to number of sampling points and accumulated value in the accumulated value of the network performance value for all sampled points answered True value;By the fusion of grid simulation value in grid.By obtaining all of region to be monitored from the wireless maintenance center of operator Sample point data, and matched sampled point with grid in the plane right-angle coordinate of detection according to sample point data, finally By the fusion of grid simulation value in grid, it can detecte whole sample point datas in region to be monitored, by the internetworking of sampled point It can be embodied on the electronic map in a manner of grid, entire monitoring result is more comprehensive, realizes the network performance of all sampled points Geographical rasterizing, the sensory experience of the corresponding user of sampled point is presented on map, for assessing network quality, be network Optimization Work provides decision support.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention, And can be implemented in accordance with the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention and the accompanying drawings. A specific embodiment of the invention is shown in detail by following embodiment and its attached drawing.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow diagram of the rasterizing monitoring method of network performance of the invention.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination Example.
As shown in Figure 1, the rasterizing monitoring method of network performance of the invention, comprising the following steps:
Measurement report data acquisition, acquire the region to be monitored stored in the wireless operation maintenance center of operator wait supervise Measurement report data is surveyed, contains several sample point datas in measurement report data to be monitored.It in this step further include treating prison It surveys measurement report data and carries out data cleansing processing, reject the sampled point for not meeting preset requirement in measurement report data to be monitored Data.Presetting in the present embodiment will safeguard as " TD-LTE digital mobile cellular telecommunication net wireless operation maintenance center (OMC- R) measurement report technical requirements ".The measurement report data to be monitored of wireless operation maintenance center storage mainly from UE and ENodeB, UE (User Equipment), i.e. user equipment, including mobile phone, intelligent terminal, multimedia equipment, stream media equipment Deng.ENodeB (Evolved Node B), i.e., base station corresponding with user equipment.
Sample point data is extracted, and extracts several sample point datas in measurement report to be monitored, wherein each sampling number According to including multiple network performance number, sampled point distance and base station shooting angle.Network performance value includes letter in the present embodiment Number slight value or annoyance level value or speech quality value or speed of surfing the Internet value, each sample point data include the net of multiple periods Network performance number, i.e., the network performance value of multiple periods.Sampled point distance is distance of the sampled point to corresponding base station, base Shooting angle of standing is signal shooting angle of the base station relative to sampled point.
Electronic map information obtains, and obtains the electronic map information in region to be monitored, and wherein electronic map information includes ground Figure longitude and latitude;The electronic map information in region to be monitored is obtained from electronic map database, in electronic map each position all by Map longitude and latitude indicates.
Map longitude and latitude is converted to plane right-angle coordinate by the physical and chemical projection in grid ground, and according to pre-set dimension by plane Rectangular coordinate system is divided into the grid of several same sizes, chooses any one longitude and latitude in map longitude and latitude as flat square The coordinate origin of coordinate system determines the coordinate of grid according to coordinate origin.Specifically: according to gauss projection algorithm, map is passed through Latitude is converted to plane right-angle coordinate, and plane right-angle coordinate is divided into the grid of same size according to pre-set dimension, In the present embodiment, pre-set dimension is defaulted as 30m*30m, and the size of pre-set dimension can freely be adjusted by according to the actual situation;With every The lower left corner of a grid is the cartesian coordinate origin of each grid, chooses any one longitude and latitude in map longitude and latitude as flat The coordinate origin of face rectangular coordinate system, i.e., 0 point, for all grids on the basis of above-mentioned coordinate origin, grid coordinate uses (1,1), (n, N) Lai Jinhang location position.
The mapping of sampled point grid calculates the sampled point longitude and latitude of sampled point according to sampled point distance and base station shooting angle, Grid corresponding with sampled point is matched in plane right-angle coordinate according to sampled point longitude and latitude, map longitude and latitude.Because of plane Rectangular coordinate system is to be converted by map longitude and latitude, therefore can also determine specific location, therefore basis by longitude and latitude Sampled point longitude and latitude grid can be matched in flat square system.Longitude and latitude is longitude and dimension composition, that is, is equal to Coordinate system;It is the location information that can determine sampled point according to sampled point distance and base station shooting angle, according to the position of sampled point Information can determine sampled point longitude and latitude, i.e., the position coordinates of sampled point are indicated with sampled point longitude and latitude.In the present embodiment, The reference direction of base station shooting angle is the direction angular direction of base station (antenna).Sampled point distance is that sampled point arrives base station Distance can decide whether to need to adjust cell base station by sampled point distance, investigate base station overlay area whether Rationally, if there is the problems such as covering and covering shadow region, and location-based service can also be provided using its auxiliary.
Grid simulation value calculates, and counts the number of the corresponding sampled point of each grid, obtains number of sampling points, calculates each The accumulated value of the network performance value of the corresponding all sampled points of grid, is calculated each according to number of sampling points and accumulated value Grid simulation value, in the present embodiment, the accumulated value of grid simulation value=all and the network performance value of the sampled point of the grid/ Number of sampling points.Network performance value includes signal slightly value or annoyance level value or speech quality value or upper network speed in the present embodiment Angle value.Being that network performance value in all sampling times by each sampled point is cumulative obtains the accumulated value of network performance value.
Grid visualization, by the fusion of grid simulation value in grid.Specifically: grid simulation value and preset threshold are carried out Compare, and grid simulation value and pre-set color type are established by matching relationship according to comparison result, according to matching relationship in grid The corresponding color of the corresponding pre-set color type of middle filling, every kind of grid simulation value correspond to a kind of pre-set color type, finally must To the electronic map containing different colours grid.In the present embodiment, network performance value be include signal slightly value or interference journey Angle value or speech quality value or speed of surfing the Internet value etc., therefore the different corresponding grid simulation values of network performance value is different, with The foundation that pre-set color type establishes matching relationship is also different.Color category can be divided into red, yellow, green, blue, and red is represented and adopted The internetworking of sampling point is poor, and yellow represents the network performance elementary errors of sampled point, and the network performance that green represents sampled point is good, blue The network performance for representing sampled point is preferable;According to the difference of network performance value, preset threshold includes preset signal strength threshold value, pre- If annoyance level threshold value, default speech quality threshold value, default speed of surfing the Internet threshold value.
Such as: when network performance value is signal strength, when grid simulation value is bigger than preset threshold, grid simulation value is got over Greatly, then prove that the network performance of this corresponding sampled point of grid simulation value is preferable, it is corresponding at this time, when grid simulation value ratio When preset signal strength threshold value is slightly larger, then sampled point network performance is normal, and grid is filled with green expression, when grid is imitative When true value is far longer than preset signal strength threshold value, then sampled point network performance is preferable, and grid is filled with blue, when grid is imitative True value is than preset signal strength threshold value hour, if far smaller than, then the network performance of sampled point is poor, and corresponding grid is filled out Fill for red, if smaller gap, the network performance of side sampled point be it is poor, corresponding grid is filled with yellow.
When network performance value is annoyance level value, grid simulation value is bigger, then annoyance level is bigger, corresponds to sampled point Network performance it is poorer;Grid simulation value is smaller, then annoyance level is smaller, and the network performance for corresponding to sampled point is better, wherein And be compared grid simulation value with default interference threshold, when grid simulation value is more slightly larger than default annoyance level threshold value It waits, then sampled point network performance is poor, and grid, which is filled with yellow, to be indicated, when grid simulation value is far longer than default annoyance level threshold When value, then sampled point network performance is poor, and grid is filled with red, when grid simulation value is smaller than default annoyance level threshold value When, if far smaller than, then the network performance of sampled point is preferable, corresponding grid is filled with blue, if smaller gap, side The network performance of sampled point be it is normal, corresponding grid is filled with green.
When network performance value is speech quality value, grid simulation value is bigger, and the network performance for corresponding to sampled point is better; Grid simulation value is smaller, and the network performance for corresponding to sampled point is poorer, wherein and by grid simulation value and default speech quality Threshold value is compared, and when grid simulation value is more slightly larger than default speech quality threshold value, then sampled point network performance is normal, will Grid is filled with green expression, when grid simulation value is far longer than default speech quality threshold value, then sampled point network performance compared with It is good, grid is filled with blue, when grid simulation value is small than default speech quality threshold value, if being far smaller than, then sampled point Network performance it is poor, corresponding grid is filled with red, if smaller gap, the network performance of side sampled point is poor, general Corresponding grid is filled with yellow.
When network performance value is speed of surfing the Internet value, grid simulation value is bigger, and the network performance for corresponding to sampled point is better; Grid simulation value is smaller, and the network performance for corresponding to sampled point is poorer, wherein and by grid simulation value and default speed of surfing the Internet Threshold value is compared, and when grid simulation value is more slightly larger than default speed of surfing the Internet threshold value, then sampled point network performance is normal, will Grid is filled with green expression, when grid simulation value is far longer than default speed of surfing the Internet threshold value, then sampled point network performance compared with It is good, grid is filled with blue, when grid simulation value is small than default speed of surfing the Internet threshold value, if being far smaller than, then sampled point Network performance it is poor, corresponding grid is filled with red, if smaller gap, the network performance of side sampled point is poor, general Corresponding grid is filled with yellow.The type of other network performance values is just not listed one by one.
The present invention provides a kind of electronic equipment, comprising: processor;
Memory;And program, wherein program is stored in memory, and is configured to be executed by processor, journey Sequence includes the rasterizing monitoring method of the network performance for the application.
The present invention provides a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: calculates Machine program is executed by processor the rasterizing monitoring method of the network performance of the application.
The present invention also provides the rasterizings of network performance to monitor system, including measurement report data acquisition module, measurement report Accuse the measurement to be monitored in the region to be monitored stored in wireless operation maintenance center of the data acquisition module for acquiring operator Data reporting;Sample point data extraction module, sample point data extraction module are several in measurement report to be monitored for extracting Sample point data, wherein each sample point data includes multiple network performance number, sampled point distance and base station shooting angle; Electronic map information obtains module, and electronic map information obtains the electronic map information that module is used to obtain region to be monitored, Middle electronic map information includes map longitude and latitude;The physical and chemical projection module in grid ground, grid physical and chemical projection module be used for map Longitude and latitude is converted to plane right-angle coordinate, and plane right-angle coordinate is divided into several same sizes according to pre-set dimension Grid chooses coordinate origin of any one longitude and latitude in map longitude and latitude as plane right-angle coordinate, according to coordinate origin Determine the coordinate of grid;Sampled point grid mapping block, sampled point grid mapping block are used for according to sampled point distance and base station Shooting angle calculates the sampled point longitude and latitude of sampled point, according to sampled point longitude and latitude, map longitude and latitude in plane right-angle coordinate Match grid corresponding with sampled point;Grid simulation value computing module, grid simulation value computing module is for counting each grid The number of the corresponding sampled point of lattice, obtains number of sampling points, calculates the network performance value of the corresponding all sampled points of each grid Accumulated value, each grid simulation value is calculated according to number of sampling points and accumulated value;Grid visualization model, grid can It is used for the fusion of grid simulation value in grid depending on changing module.Grid simulation value computing module includes statistic unit and calculates single Member, statistic unit are used to count the number of corresponding sampled point in each grid, obtain number of sampling points, computing unit is based on The accumulated value for calculating the network performance value of corresponding all sampled points in each grid is calculated according to number of sampling points and accumulated value Obtain each grid simulation value.Measurement report data acquisition module is also used to carry out data cleansing to measurement report data to be monitored Processing.
The rasterizing monitoring method of network performance of the invention, it is to be monitored by being obtained from the wireless maintenance center of operator All sample point datas in region, and carried out grid in sampled point and the plane right-angle coordinate of detection according to sample point data The fusion of grid simulation value finally can detecte whole sample point datas in region to be monitored, by sampled point in grid by matching Network performance embodied on the electronic map in a manner of grid, entire monitoring result is more comprehensive, realizes all sampled points The geographical rasterizing of network performance is presented the sensory experience of the corresponding user of sampled point on map, for assessing network matter Amount, provides decision support for network optimization, provides accurate foundation for wireless optimization and network planning construction, substantially reduces The manpower and material resources and time cost of the network optimization, and the efficiency of problem analysis is improved, network performance is improved, user is reduced and throws It tells.
More than, only presently preferred embodiments of the present invention is not intended to limit the present invention in any form;All current rows The those of ordinary skill of industry can be shown in by specification attached drawing and above and swimmingly implement the present invention;But all to be familiar with sheet special The technical staff of industry without departing from the scope of the present invention, is made a little using disclosed above technology contents The equivalent variations of variation, modification and evolution is equivalent embodiment of the invention;Meanwhile all substantial technologicals according to the present invention The variation, modification and evolution etc. of any equivalent variations to the above embodiments, still fall within technical solution of the present invention Within protection scope.

Claims (10)

1. the rasterizing monitoring method of network performance, it is characterised in that: the following steps are included:
Measurement report data acquisition, acquires the survey to be monitored in the region to be monitored stored in the wireless operation maintenance center of operator Data reporting is measured, contains several sample point datas in the measurement report data to be monitored;
Sample point data is extracted, and extracts several sample point datas in the measurement report to be monitored, wherein each sampling Point data includes multiple network performance number, sampled point distance and base station shooting angle;
Electronic map information obtains, and the electronic map information in the region to be monitored is obtained, wherein the electronic map information packet Include map longitude and latitude;
The physical and chemical projection in grid ground, is converted to plane right-angle coordinate for the map longitude and latitude, and will be described according to pre-set dimension Plane right-angle coordinate is divided into the grid of several same sizes, chooses any one longitude and latitude conduct in the map longitude and latitude The coordinate origin of the plane right-angle coordinate determines the coordinate of the grid according to the coordinate origin;
The mapping of sampled point grid, the sampled point of the sampled point is calculated according to the sampled point distance and the base station shooting angle Longitude and latitude is matched in the plane right-angle coordinate and is adopted with described according to the sampled point longitude and latitude, the map longitude and latitude The corresponding grid of sampling point;
Grid simulation value calculates, and counts the number of the corresponding sampled point of each grid, obtains number of sampling points, calculates The accumulated value of the network performance value of the corresponding all sampled points of each grid, according to the number of sampling points with And each grid simulation value is calculated in the accumulated value;
Grid visualization, in the grid by grid simulation value fusion.
2. the rasterizing monitoring method of network performance as described in claim 1, it is characterised in that: the measurement report data is adopted Collection further includes carrying out data cleansing processing to the measurement report data to be monitored, is rejected in the measurement report data to be monitored The sample point data of preset requirement is not met.
3. the rasterizing monitoring method of network performance as described in claim 1, it is characterised in that: the grid simulation value is institute State the ratio of accumulated value Yu the number of sampling points.
4. the rasterizing monitoring method of network performance as described in claim 1, it is characterised in that: the rasterizing specifically: The grid simulation value is compared with preset threshold, and according to comparison result by the grid simulation value and pre-set color kind Class establishes matching relationship, fills the corresponding color of corresponding pre-set color type in the grid according to the matching relationship, Every kind of grid simulation value corresponds to a kind of pre-set color type.
5. the rasterizing monitoring method of network performance as described in claim 1, it is characterised in that: each grid is corresponding extremely A few sampled point.
6. a kind of electronic equipment, characterized by comprising: processor;
Memory;And program, wherein described program is stored in the memory, and is configured to be held by processor Row, described program include requiring method described in 1-5 any one for perform claim.
7. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: the computer program quilt Processor executes the method as described in claim 1-5 any one.
8. the rasterizing of network performance monitors system, it is characterised in that: including measurement report data acquisition module, the measurement report Accuse the measurement to be monitored in the region to be monitored stored in wireless operation maintenance center of the data acquisition module for acquiring operator Data reporting;
Sample point data extraction module, if the sample point data extraction module is for extracting in the measurement report to be monitored Dry sample point data, wherein each sample point data includes multiple network performance number, sampled point distance and base station outgoing Angle;
Electronic map information obtains module, and the electronic map information obtains the electronics that module is used to obtain the region to be monitored Cartographic information, wherein the electronic map information includes map longitude and latitude;
The physical and chemical projection module in grid ground, the grid physical and chemical projection module be used to the map longitude and latitude being converted to plane it is straight Angular coordinate system, and the plane right-angle coordinate is divided into according to pre-set dimension the grid of several same sizes, described in selection Coordinate origin of any one longitude and latitude as the plane right-angle coordinate in map longitude and latitude, it is true according to the coordinate origin The coordinate of the fixed grid;
Sampled point grid mapping block, the sampled point grid mapping block are used for according to the sampled point distance and the base station Shooting angle calculates the sampled point longitude and latitude of the sampled point, according to the sampled point longitude and latitude, the map longitude and latitude in institute It states plane right-angle coordinate and matches grid corresponding with the sampled point;
Grid simulation value computing module, for counting, each grid is corresponding described to be adopted the grid simulation value computing module The number of sampling point obtains number of sampling points, calculates the network performance of the corresponding all sampled points of each grid Each grid simulation value is calculated according to the number of sampling points and the accumulated value in the accumulated value of value;
Grid visualization model, the grid visualization model are used for grid simulation value fusion in the grid.
9. the rasterizing of network performance as claimed in claim 8 monitors system, it is characterised in that: the grid simulation value calculates Module includes statistic unit and computing unit, and the statistic unit is for counting the corresponding sampled point in each grid Number of sampling points, the computing unit is used to calculate the network performances of corresponding all sampled points in each grid Each grid simulation value is calculated according to the number of sampling points and the accumulated value in the accumulated value of value.
10. the rasterizing of network performance as claimed in claim 8 monitors system, it is characterised in that: the measurement report data Acquisition module is also used to carry out data cleansing processing to the measurement report data to be monitored.
CN201811434183.2A 2018-11-28 2018-11-28 Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance Pending CN109743743A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811434183.2A CN109743743A (en) 2018-11-28 2018-11-28 Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811434183.2A CN109743743A (en) 2018-11-28 2018-11-28 Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance

Publications (1)

Publication Number Publication Date
CN109743743A true CN109743743A (en) 2019-05-10

Family

ID=66358215

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811434183.2A Pending CN109743743A (en) 2018-11-28 2018-11-28 Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance

Country Status (1)

Country Link
CN (1) CN109743743A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111491255A (en) * 2020-03-23 2020-08-04 宜通世纪科技股份有限公司 Backfill longitude and latitude positioning and expanding method, system and storage medium
CN112200357A (en) * 2020-09-30 2021-01-08 杭州鲁尔物联科技有限公司 Landslide prediction method, device, equipment and storage medium
CN113055927A (en) * 2019-12-27 2021-06-29 中国移动通信集团浙江有限公司 Method and device for positioning longitude and latitude of base station, computing equipment and computer storage medium
CN114363925A (en) * 2021-12-16 2022-04-15 北京红山信息科技研究院有限公司 Network quality difference automatic identification method
CN114554535A (en) * 2020-11-24 2022-05-27 中国移动通信集团北京有限公司 Method, device, equipment and storage medium for intelligently identifying common coverage cell pairs
WO2023124376A1 (en) * 2021-12-31 2023-07-06 中兴通讯股份有限公司 Ar-based wireless network simulation method and system, terminal, and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN106879017A (en) * 2015-12-11 2017-06-20 亿阳信通股份有限公司 A kind of decision method and device of LTE network covering quality
CN108124279A (en) * 2017-12-12 2018-06-05 中国联合网络通信集团有限公司 The appraisal procedure and device of network coverage quality
CN108377468A (en) * 2017-12-07 2018-08-07 中国移动通信集团福建有限公司 Wireless network scenario appraisal procedure, device, equipment and medium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN106879017A (en) * 2015-12-11 2017-06-20 亿阳信通股份有限公司 A kind of decision method and device of LTE network covering quality
CN108377468A (en) * 2017-12-07 2018-08-07 中国移动通信集团福建有限公司 Wireless network scenario appraisal procedure, device, equipment and medium
CN108124279A (en) * 2017-12-12 2018-06-05 中国联合网络通信集团有限公司 The appraisal procedure and device of network coverage quality

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113055927A (en) * 2019-12-27 2021-06-29 中国移动通信集团浙江有限公司 Method and device for positioning longitude and latitude of base station, computing equipment and computer storage medium
CN111491255A (en) * 2020-03-23 2020-08-04 宜通世纪科技股份有限公司 Backfill longitude and latitude positioning and expanding method, system and storage medium
CN111491255B (en) * 2020-03-23 2022-10-21 宜通世纪科技股份有限公司 Backfill longitude and latitude positioning and expanding method, system and storage medium
CN112200357A (en) * 2020-09-30 2021-01-08 杭州鲁尔物联科技有限公司 Landslide prediction method, device, equipment and storage medium
CN112200357B (en) * 2020-09-30 2024-01-05 杭州鲁尔物联科技有限公司 Landslide prediction method, landslide prediction device, landslide prediction equipment and storage medium
CN114554535A (en) * 2020-11-24 2022-05-27 中国移动通信集团北京有限公司 Method, device, equipment and storage medium for intelligently identifying common coverage cell pairs
CN114554535B (en) * 2020-11-24 2024-04-19 中国移动通信集团北京有限公司 Method, device, equipment and storage medium for intelligently identifying co-coverage cell pairs
CN114363925A (en) * 2021-12-16 2022-04-15 北京红山信息科技研究院有限公司 Network quality difference automatic identification method
CN114363925B (en) * 2021-12-16 2023-10-24 北京红山信息科技研究院有限公司 Automatic network quality difference identification method
WO2023124376A1 (en) * 2021-12-31 2023-07-06 中兴通讯股份有限公司 Ar-based wireless network simulation method and system, terminal, and storage medium

Similar Documents

Publication Publication Date Title
CN109743743A (en) Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance
CN108683527B (en) MR and XDR-based user perception depth detection method
CN108513251B (en) Positioning method and system based on MR data
CN108260075B (en) Addressing method and device for deployment position of base station
CN105611568B (en) A method of LTE terminal position is accurately positioned based on MRO measurement report
CN106899985A (en) The appraisal procedure and device of a kind of network coverage
CN105163337B (en) A method of the mobile network data geography mapping based on coverage prediction emulation
CN103067928B (en) A kind of analytical method of network coverage quality and system
CN105898762B (en) Base station optimization and deployment method and device
CN103686818B (en) Simulation test method and equipment
CN104320795A (en) Evaluation method for health degree of multidimensional wireless network
WO2016090961A1 (en) Method and device for network associations analysis
CN109548041A (en) A kind of wireless coverage analysis method and system
CN107466043A (en) A kind of azimuthal method and apparatus for determining antenna for base station
CN109246592A (en) A kind of acquisition methods and device of position information of user's terminal
CN106912103A (en) A kind of method of locating terminal and device
US11290975B2 (en) Method and apparatus for obtaining emission probability, method and apparatus for obtaining transition probability, and sequence positioning method and apparatus
CN106879017A (en) A kind of decision method and device of LTE network covering quality
CN108540987B (en) LTE network coverage state evaluation method and device
CN108307427A (en) A kind of LTE network covering analyzing, prediction technique and system
CN102802144B (en) Ticket data analyzing method and device
CN104717670B (en) A kind of measure of the quality of service method, apparatus and system
CN105528683A (en) Road patrol method, hand-held terminal and cloud server
CN107197518A (en) A kind of method and device for determining terminal location
CN108260140A (en) A kind of simulation drive test data acquisition methods and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190510