CN106844757A - A kind of antenna azimuth Outlier mining method - Google Patents
A kind of antenna azimuth Outlier mining method Download PDFInfo
- Publication number
- CN106844757A CN106844757A CN201710086291.4A CN201710086291A CN106844757A CN 106844757 A CN106844757 A CN 106844757A CN 201710086291 A CN201710086291 A CN 201710086291A CN 106844757 A CN106844757 A CN 106844757A
- Authority
- CN
- China
- Prior art keywords
- data
- azimuth
- aoa
- antenna
- cell
- 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
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
- G06F2216/03—Data mining
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Quality & Reliability (AREA)
- Variable-Direction Aerials And Aerial Arrays (AREA)
Abstract
The present invention provides a kind of antenna azimuth Outlier mining method, is related to antenna azimuth acquisition technique, the invention mainly comprises 1）, data acquisition and cleaning；2）, data mining and generation recommend azimuth；3）, workform management, persistently lift the quality of data；4）, result present.The data such as resource data, performance data can be made full use of carries out data cleansing, analysis, modeling, and antenna in cell azimuth abnormal data is excavated based on big data algorithm.
Description
Technical field
The present invention relates to antenna azimuth acquisition technique, more particularly to a kind of side of antenna azimuth Outlier mining
Method.
Background technology
Wireless network resources data need supporting network to optimize, concentrate fault management, concentrate the application scenarios, number of resources such as performance
According to accuracy be also just particularly important.But because the azimuth of antenna is entered for mute resource, it is necessary to carry out the means such as climbing tower
Row collection in worksite, verification difficulty is larger, causes the frequency of data renewal and maintenance in system relatively low, causes data in current system
Also there are problems with live uniformity, especially bad particularly problematic of high cost, effect.Difficult point main at present
It is as follows：
（1）The inaccurate rate of antenna azimuth of manual maintenance is higher
Antenna azimuth is mostly based on manual maintenance in resource system, there is inaccurate phenomenon.Especially by 2,3,4G nets
The many phases construction data transitions of network are larger, and antenna bearingt angular data there are problems that substantial amounts of.
（2）Artificial verification efficiency is low, and accuracy cannot be assessed
The familiarity to network with optimization personnel is mainly depended in traditional artificial verification, by the way of the verification of artificial done site by site,
Not only the low accuracy of efficiency it cannot be guaranteed that, also there is a problem of under-enumeration.Though verify quality of data DeGrain through excessive wheel.
（3）Legacy system verification means are single, and accuracy is low
Although some are also provided with system data quality management process verifies rule, simple rule, not from root
Antenna azimuth data quality problem is solved in sheet.
（4）Can not effectively be managed
After traditional azimuth change, it is impossible to find the change whether effectively, accurately, it is impossible to carry out effective closed loop management, implement
Effect cannot be verified.
The content of the invention
The present invention proposes a kind of method of antenna azimuth Outlier mining.The technical problem for mainly solving：One is
High-efficiency washing is carried out to AOA data, qualitative analysis and modeling data quality requirement is reached；Two are dug using sampled point accounting method
Pick antenna azimuth abnormal cell；Three are to provide recommendation azimuth solution；Four is to realize closed loop management by system work order,
Ensure Resolving probiems.
The technical scheme is that：
A kind of method of antenna azimuth Outlier mining,
1）, data acquisition and cleaning：Collection cell data, the sample point data to level intensity less than -110dbm is excluded, while
AOA sample point datas are divided into AOA_00 extremely in each interval by the cell azimuth provided based on comprehensive resources system according to 5 degree
Difference statistic sampling point number in AOA_71, each angular interval.
2）, data mining and generation recommend azimuth：According to AOA data, sampled point accounts for total sampling number in each interval
Recommendation azimuth is excavated and generated to the ratio of amount.
According to real data, two kinds of adjustment situations are divided into：
2.1）Antenna directional angle adjustment suggestion is provided according to sampled point accounting highest angular interval；
2.2）" the average eNB antenna angle of arrival " calculated according to AOA provides antenna directional angle adjustment suggestion.
3）, workform management, persistently lift the quality of data：Above-mentioned recommendation bearing data is distributed into mode by work order is carried out
Treatment.
4）, result present.
Including
1）The list of azimuth abnormal cell represents；
2）Azimuth abnormal cell GIS represents；
Presented by condition query azimuth abnormal cell information, and list, GIS exhibitions can be carried out to the cell after choosing cell
It is existing；
The features of the present invention
One is various dimensions, multi-levels data excavation；Two is more accurate excavation antenna azimuth abnormal cell, degree of accuracy lifting
More than 50%；Three are to provide antenna azimuth adjustment solution, reduce human cost, improve efficiency；Four is based on cloud platform
Big data is serviced.
The beneficial effects of the invention are as follows
1st, multidimensional data cleaning, high-quality basic data is provided to excavate azimuth abnormal cell
Multidimensional data is cleaned, and will not conformed to rule, inaccurate, abnormal data and is rejected, and is accurate, accurate excavation orientation abnormal cell
Basic guarantee is provided；
2nd, excavate accuracy rate lifting more than 50%, overall accuracy rate can reach 80% and more than；
3rd, it is lasting to track and the optimization quality of data by workform management, set up tracking and analysis mechanisms, it is ensured that Resolving probiems, shape
Into normalization data settlement mechanism；
4th, service form is optimized, there is provided the big data Analysis Service based on cloud platform.
Specific embodiment
More detailed elaboration is carried out to present disclosure below：
Data acquisition and cleaning：Collection cell data, the sample point data to level intensity less than -110dbm is excluded, while base
AOA sample point datas are divided into AOA_00 to AOA_ in each interval by the cell azimuth provided in comprehensive resources system according to 5 degree
71, difference statistic sampling point number in each angular interval.
Azimuth is recommended in data mining and generation：According to AOA data, sampled point accounts for total sampled point quantity in each interval
Ratio excavated and generated recommendation azimuth.
According to real data, two kinds of adjustment situations are divided into：
（1）Antenna directional angle adjustment suggestion is provided according to sampled point accounting highest angular interval
If the AOA sampled point accountings of cell angular interval refer to the program and are adjusted more than 50%.
- 1 cell comprehensive resources system attitude angle is 180 degree to Xi Ping villages of Huaihua Hecheng District at a high speed.
1）Sampled point accounting highest AOA is numbered：= MAX（AOA_00 - AOA_71）Corresponding AOA numberings.
By taking Xi Ping villages of Huaihua Hecheng District at a high speed -1 cell as an example, in its all of AOA interval, numbering AOA_00 sampled points are most
Height, therefore cell sampled point accounting highest AOA numberings are " AOA_00 ".
2）The corresponding angular intervals of sampled point accounting highest AOA：= MAX（AOA_00 - AOA_71）Corresponding AOA is compiled
Number indicate angular interval.
By taking Xi Ping villages of Huaihua Hecheng District at a high speed -1 cell as an example, in its all of AOA interval, numbering AOA_00 sampled points are most
Height, therefore the corresponding angular intervals of cell sampled point accounting highest AOA are " [0,5] ".
3）Sampled point accounting highest AOA sampling numbers：= MAX（AOA_00 - AOA_71）Corresponding sampling number.
By taking Xi Ping villages of Huaihua Hecheng District at a high speed -1 cell as an example, in its all of AOA interval, numbering AOA_00 sampled points are most
Height, therefore the cell sampled point accounting highest AOA sampling numbers are " 37435 ".
4）Sampled point accounting highest AOA sampled point accountings：= MAX（AOA_00 - AOA_71）Corresponding sampling number
The total sampled points of/AOA.
By taking Xi Ping villages of Huaihua Hecheng District at a high speed -1 cell as an example, in its all of AOA interval, numbering AOA_00 sampled points are most
Height, therefore the cell sampled point accounting highest AOA sampling numbers are " 37435 "；And the total sampled points of AOA of the cell are also
37435, therefore the sampled point accounting highest AOA sampled points accounting of the cell is " 100% ".
5）The average angle of arrival of sampled point accounting highest AOA estimations：= MAX（AOA_00 - AOA_71）That estimates is flat
Equal angle of arrival, i.e., the arithmetic mean of instantaneous value of corresponding angular interval bound.The azimuth recommended is：180+2.5=182.5 degree.
（2）" the average eNB antenna angle of arrival " calculated according to AOA provides antenna directional angle adjustment suggestion
" average eNB antenna angle of arrival ", its computing formula are as follows（Mean value calculation with other MR indexs is similar, mainly
Each interval median is taken accordingly to be calculated）：Average eNB antenna angle of arrival=（2.5*AOA_00 + 7.5*AOA_01
+ 12.5*AOA_02 + ... + 352.5*AOA_70 + 357.5*AOA_71）/（AOA_00 + AOA_01 + AOA_02
+ ... + AOA_70 + AOA_71）
In theory if cell is such a supposed premise, then its average eNB antenna angle of arrival should be exactly 0
Degree, i.e., main lobe direction is exactly normal direction.But if changing a kind of computational methods, by AOA_71 interval median by 357.5
Change -2.5 into, so：Average eNB antenna angle of arrival=（2.5*1 + （-2.5）*1）/ 2 = 0（Degree）.
Transformation for mula is to consider to make mirror image processing with normal, i.e., when average eNB antenna angle of arrival is calculated, by 72 intervals
It is divided into 2 parts（Respectively include 36 intervals）：AOA_00-AOA_35, and AOA_36-AOA_71.
Formula after conversion is as follows：
Average eNB antenna angle of arrival=（2.5*AOA_00 + ... + 177.5*AOA_35 + （-177.5）*AOA_36 +
... + （-2.5）*AOA_71）/（AOA_00 + ... + AOA_35 + AOA_36 + ... + AOA_71）
If sampled point accounting is not less than 50% in some angular range, antenna in cell azimuth is recommended using the method.
1. workform management, persistently lifts the quality of data
Above-mentioned recommendation bearing data is distributed into mode by work order to be processed, the quality of data is improved, is reduced operating cost, carried
Data accuracy is risen, while lifting fine-grained management level.
2. result is presented：
（1）The list of azimuth abnormal cell represents
The instrument is supported by condition query azimuth abnormal cell information, and list is presented, and choosing can be to this after certain cell
Cell carries out GIS and represents.
Input：Districts and cities（The whole province or certain districts and cities can be inquired about）, district, date inquiries condition
Output：Districts and cities, district, date, cell name, money pipe azimuth, recommendation azimuth
Presentation mode：Chart
（2）Azimuth abnormal cell GIS represents
By map, there is provided azimuth abnormal cell position, and sample point data distribution situation, can intuitively check doubtful
Problem cells sampling point information, for solve problem provides foundation.
The present invention can make full use of resource data, performance data, network optimization work parameter according to, enter for dimension data, neighbor data
Row data cleansing, analysis, modeling, antenna in cell azimuth abnormal data is excavated based on big data algorithm.Can obtain automatically
Sampled point accounting highest AOA angular intervals and average eNB antenna angle of arrival, to provide intra-cell users focussing direction, recommend
The most possible angle of antenna azimuth, so as to be instructed for the resident when MR coverage rates of 4G provide antenna directional angle adjustment.
Claims (4)
1. a kind of antenna azimuth Outlier mining method, it is characterised in that
Antenna azimuth abnormal cell is excavated using sampled point accounting method；Based on the mirror that differentiation is used to distinct device type
Other standard, there is provided whether adjust suggestion；Reached according to deviation angle computation interval sampled point accounting, while calculating average antenna
Angle；The adjustment suggestion of antenna azimuth deviation angle is provided, azimuth is solved the problems, such as.
2. method according to claim 1, it is characterised in that mainly include：
1）, data acquisition and cleaning：Collection cell data, the sample point data to level intensity less than -110dbm is excluded, while
AOA sample point datas are divided into AOA_00 extremely in each interval by the cell azimuth provided based on comprehensive resources system according to 5 degree
Difference statistic sampling point number in AOA_71, each angular interval；
2）, data mining and generation recommend azimuth：According to AOA data, sampled point accounts for total sampled point quantity in each interval
Recommendation azimuth is excavated and generated to ratio；
3）, workform management, persistently lift the quality of data：Above-mentioned recommendation bearing data is distributed at mode by work order
Reason；
4）, result present.
3. method according to claim 2, it is characterised in that
Azimuth is recommended in data mining and generation, according to real data, is divided into two kinds of adjustment situations：
1）Antenna directional angle adjustment suggestion is provided according to sampled point accounting highest angular interval；
2）" the average eNB antenna angle of arrival " calculated according to AOA provides antenna directional angle adjustment suggestion.
4. method according to claim 2, it is characterised in that
Result is presented to be included
1）The list of azimuth abnormal cell represents；
2）Azimuth abnormal cell GIS represents；
Presented by condition query azimuth abnormal cell information, and list, GIS exhibitions can be carried out to the cell after choosing cell
It is existing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710086291.4A CN106844757A (en) | 2017-02-17 | 2017-02-17 | A kind of antenna azimuth Outlier mining method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710086291.4A CN106844757A (en) | 2017-02-17 | 2017-02-17 | A kind of antenna azimuth Outlier mining method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106844757A true CN106844757A (en) | 2017-06-13 |
Family
ID=59128565
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710086291.4A Pending CN106844757A (en) | 2017-02-17 | 2017-02-17 | A kind of antenna azimuth Outlier mining method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106844757A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109429249A (en) * | 2017-09-04 | 2019-03-05 | 中国移动通信集团浙江有限公司 | A kind of antenna azimuth optimization method and equipment based on MR location data |
| CN109982368A (en) * | 2017-12-28 | 2019-07-05 | 中国移动通信集团四川有限公司 | The azimuthal check method of cell, device, equipment and medium |
| CN109996180A (en) * | 2017-12-31 | 2019-07-09 | 中国移动通信集团湖北有限公司 | Method, apparatus, equipment and the medium that base station azimuth is verified |
| WO2020107712A1 (en) * | 2018-11-27 | 2020-06-04 | 南京华苏科技有限公司 | Method for implementing antenna azimuth correction based on user data |
| CN111278040A (en) * | 2018-12-05 | 2020-06-12 | 中国移动通信集团四川有限公司 | Interference source positioning method, device, equipment and computer storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5457466A (en) * | 1993-09-07 | 1995-10-10 | Litton Systems Inc. | Emitter azimuth and elevation direction finding using only linear interferometer arrays |
| US20050220207A1 (en) * | 2004-04-02 | 2005-10-06 | Perlman Stephen G | System and method for enhancing near vertical incidence skywave ("NVIS") communication using space-time coding |
| CN102685762A (en) * | 2012-05-15 | 2012-09-19 | 大唐移动通信设备有限公司 | Optimizing method and device of antenna feeder parameters |
| CN103079228A (en) * | 2012-12-20 | 2013-05-01 | 上海大唐移动通信设备有限公司 | Antenna wiring direction detection method and device |
| CN103096370A (en) * | 2012-11-07 | 2013-05-08 | 无锡成电科大科技发展有限公司 | Antenna direction angle verification method based on mobile phone measured data |
-
2017
- 2017-02-17 CN CN201710086291.4A patent/CN106844757A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5457466A (en) * | 1993-09-07 | 1995-10-10 | Litton Systems Inc. | Emitter azimuth and elevation direction finding using only linear interferometer arrays |
| US20050220207A1 (en) * | 2004-04-02 | 2005-10-06 | Perlman Stephen G | System and method for enhancing near vertical incidence skywave ("NVIS") communication using space-time coding |
| CN102685762A (en) * | 2012-05-15 | 2012-09-19 | 大唐移动通信设备有限公司 | Optimizing method and device of antenna feeder parameters |
| CN103096370A (en) * | 2012-11-07 | 2013-05-08 | 无锡成电科大科技发展有限公司 | Antenna direction angle verification method based on mobile phone measured data |
| CN103079228A (en) * | 2012-12-20 | 2013-05-01 | 上海大唐移动通信设备有限公司 | Antenna wiring direction detection method and device |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109429249A (en) * | 2017-09-04 | 2019-03-05 | 中国移动通信集团浙江有限公司 | A kind of antenna azimuth optimization method and equipment based on MR location data |
| CN109982368A (en) * | 2017-12-28 | 2019-07-05 | 中国移动通信集团四川有限公司 | The azimuthal check method of cell, device, equipment and medium |
| CN109982368B (en) * | 2017-12-28 | 2022-12-13 | 中国移动通信集团四川有限公司 | Method, device, equipment and medium for checking cell azimuth |
| CN109996180A (en) * | 2017-12-31 | 2019-07-09 | 中国移动通信集团湖北有限公司 | Method, apparatus, equipment and the medium that base station azimuth is verified |
| WO2020107712A1 (en) * | 2018-11-27 | 2020-06-04 | 南京华苏科技有限公司 | Method for implementing antenna azimuth correction based on user data |
| US11206555B2 (en) | 2018-11-27 | 2021-12-21 | Nanjing Howso Technology Co., Ltd. | Method for implementing antenna azimuth correction based on user data |
| CN111278040A (en) * | 2018-12-05 | 2020-06-12 | 中国移动通信集团四川有限公司 | Interference source positioning method, device, equipment and computer storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106844757A (en) | A kind of antenna azimuth Outlier mining method | |
| Sun et al. | Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images | |
| Assouline et al. | Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests | |
| WO2021103323A1 (en) | Historical city protection and development cooperative control scheme aided design system | |
| Blechinger et al. | Global analysis of the techno-economic potential of renewable energy hybrid systems on small islands | |
| CN103971169B (en) | A kind of Forecasting Methodology for the photovoltaic ultra-short term generated output simulated based on cloud amount | |
| CN105760590B (en) | A kind of roof type photovoltaic array spacing optimization method based on shade Emanations Analysis | |
| CN107133702B (en) | Full-field power prediction method for wind power plant | |
| US20150039228A1 (en) | Ultra-short-term forecasting method including real-time monitoring of the effect of upper and lower courses | |
| CN105206057B (en) | Detection method and system based on Floating Car resident trip hot spot region | |
| CN102779231B (en) | Based on contiguous coordinate transformation parameter computing method | |
| CN103559561A (en) | Super-short-term prediction method of photovoltaic power station irradiance | |
| CN107193060B (en) | A kind of multipath Typhoon Storm Surge Over method for quick predicting and system | |
| CN109784540A (en) | A kind of water supply layout optimization system and optimization method based on DMA subregion | |
| CN109840260A (en) | A kind of extensive real-time rainfall automatic Observation station ranked data processing method based on dynamic interpolation | |
| CN108375807A (en) | The acquisition methods and device of meteorological data | |
| CN109429249A (en) | A kind of antenna azimuth optimization method and equipment based on MR location data | |
| CN103218517A (en) | GIS (Geographic Information System)-based region-meshed spatial population density computing method | |
| CN110134907B (en) | Rainfall missing data filling method and system and electronic equipment | |
| CN109978275A (en) | A kind of extreme wind wind speed forecasting method and system mixing CFD and deep learning | |
| CN107194541A (en) | A kind of power distribution network power supply zone method based on adaptive weighting Voronoi diagram | |
| CN105260586A (en) | Automatic meteorological station wind speed data processing method aiming at overhead transmission line | |
| CN115544889A (en) | Numerical mode precipitation deviation correction method based on deep learning | |
| CN107705002A (en) | The determination method of mining soil content of beary metal sampled point exception high level coverage | |
| CN105262148B (en) | The planning year power balance method of meter and wind power output characteristic |
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: 20170613 |