CN207939741U - The device of weak covering in a kind of intelligent recognition room - Google Patents
The device of weak covering in a kind of intelligent recognition room Download PDFInfo
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- CN207939741U CN207939741U CN201721792523.XU CN201721792523U CN207939741U CN 207939741 U CN207939741 U CN 207939741U CN 201721792523 U CN201721792523 U CN 201721792523U CN 207939741 U CN207939741 U CN 207939741U
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Abstract
The utility model discloses a kind of devices of weak covering in intelligent recognition room, including data statistics parsing module, terminal location locating module, indoor and outdoor subscriber identification module, three-dimensional grid locating module；The input terminal of terminal location locating module is connected with the first output end of data statistics parsing module, the first input end of indoor and outdoor subscriber identification module is connected with the output end of terminal location locating module, and the first input end of three-dimensional grid locating module is connected with the output end of indoor and outdoor subscriber identification module；The second input terminal of indoor and outdoor subscriber identification module, three-dimensional the second input terminal of grid locating module are connected with data statistics parsing module second output terminal；Data resolution module is built-in with the location algorithm that AGPS, TA+RSRP are combined；Indoor and outdoor subscriber identification module is built-in with extension HATA model formations, judge that user is indoor user or outdoor user in conjunction with user's generation business number, business duration, business conduct, and accurately identifies building in-door covering blind spot, flow hot spot and the in-door covering quality of hot spot region.
Description
Technical field
The utility model belongs to wireless network planning and optimisation technique field, and in particular to weak in a kind of intelligent recognition room to cover
The device of lid.
Background technology
As mobile Internet develops, about 90% business all occurs indoors according to statistics, and interior is VIP user's height collection
Middle region and the hot spot for competition of Service Market.But indoor user perception is ensured at present and business development faces interior and covers
Lid precisely plans the problems such as difficult, Indoor environment depth covers wretched insufficiency, and traditional network optimization means are only in accordance with customer complaint, KPI
Index etc. carries out judgement just slightly to Indoor environment coverage condition indirectly and positions, and it is true cannot to understand building internal home network in depth
Real covering demand especially can not accurately know the covering quality in customer service region and the actual services perception of user；It is right
It can not be accurately positioned in customer complaint and network coverage problem, the hysteresis quality of the optimization means such as webmaster index analysis, CQT tests is asked
Topic can not overcome always, have the following disadvantages：
1, the wireless network planning of the thick mad type of tradition, optimization means, are only capable of accomplishing " take stopgap measures ", cannot
Complaint prior to user finds network coverage demand, service set area often occurs without covering or weak covering, it is difficult to truly anti-
Present network coverage present situation and business demand.
2, it is confined to traditional extensive resource and launches strategy, lack rational assessment, outdoor station is with customer complaint, co-located
Based on demand；Indoor station demand depends on integrated discussion label unduly, and supporting method is single；Indoor and outdoor network construction efficiency is low, effect
Difference, investment yield are low.
3, only in accordance with KPI indexs, customer complaint data, it can not ensure the reasonability and feasibility of programme, Wu Faquan
Face meets the actual demand of network.
4, it is time-consuming and laborious to sweep vertical test examination, is influenced, is imitated by the limitation of on-the-spot test condition and tester's artificial subjective factor
Rate is low, of high cost, and is only capable of the coverage condition in the feedback building faces Nei great, is unable to get userbase, the potential business value in market etc.
Data.
Therefore it faces accurate market support cannot be satisfied, can not accomplish the demand position based on high value scene indoor user
It sets, the promoting service of business demand.
Utility model content
For the disadvantages described above or Improvement requirement of the prior art, the utility model provides weak in a kind of intelligent recognition room cover
The device of lid, its object is to be accurately identified indoor user and in-door covering blind spot, flow hot spot.
To achieve the above object, according to the one side of the utility model, weak covering in a kind of intelligent recognition room is provided
Device, including data statistics parsing module, terminal location locating module, indoor and outdoor subscriber identification module, three-dimensional grid be fixed
Position module；
Wherein, the input terminal of terminal location locating module is connected with the first output end of data statistics parsing module, indoor
The first input end of outdoor subscriber identification module is connected with the output end of terminal location locating module, three-dimensional grid locating module
First input end is connected with the output end of indoor and outdoor subscriber identification module；The second input terminal of indoor and outdoor subscriber identification module,
Three-dimensional the second input terminal of grid locating module is connected with the second output terminal of data statistics parsing module；
Wherein, data resolution module is built-in with the location algorithm that AGPS, TA+RSRP are combined；Indoor and outdoor user identifies
Module is built-in with extension HATA model formations, is to judge user in conjunction with user's generation business number, business duration, business conduct
Indoor user or outdoor user.
Preferably, in above-mentioned intelligent recognition room weak covering device, further include the blind covering locating module and height of MR signalings
It is worth building recognition module；Wherein, the second of the blind covering locating module input terminal Yu data statistics parsing module of MR signalings
Output end is connected；The second output terminal of the first input end and indoor and outdoor subscriber identification module of high value building recognition module
It is connected, the second input terminal is connected with the output end of three-dimensional grid locating module, third input terminal and the blind covering of MR signalings position
The output end of module is connected；
Preferably, in above-mentioned intelligent recognition room weak covering device, further include nine grids analysis module；Nine grids analyze mould
The input terminal of block is connected with the output end of high value building recognition module；
The nine grids analysis module is built-in with preset three-level network benefit grading standard and three-level network maturity
The criteria for classifying carries out quantization come the quality of wireless network of the hot spot region identified to high value building recognition module and comments
Estimate.
In general, the above technical solutions conceived by the present invention are compared with the prior art, due to Neng Gouqu
Obtain following advantageous effect：
The utility model proposes intelligent recognition room in weak covering device, based on MR locating modules, indoor and outdoor user know
Other module, the positioning of covering grid and volume rendering analysis module, the blind covering locating module of MR signalings and high value building
Indoor and outdoor user property is identified in identification module, and grid positioning and volume rendering point are carried out to hot spot region in-door covering
Analysis, accurately identifies building in-door covering blind spot, flow hot spot, adjudicates the in-door covering quality of hot spot region, from network trap and
Two dimensions of network maturity evaluate wireless network covering quality, and effective solution positioning accuracy is poor, input
The problem of resource is more and inefficiency.
Description of the drawings
Fig. 1 is the system block diagram of one embodiment of the device of weak covering in intelligent recognition room provided by the utility model；
Fig. 2 is the nine grids analysis module principle schematic in embodiment.
Specific implementation mode
In order to make the purpose of the utility model, technical solutions and advantages more clearly understood, below in conjunction with attached drawing and implementation
Example, the present invention will be further described in detail.It should be appreciated that specific embodiment described herein is only used to explain
The utility model is not used to limit the utility model.In addition, institute in the various embodiments of the present invention described below
The technical characteristic being related to can be combined with each other as long as they do not conflict with each other.
The utility model provides a kind of device of weak covering in intelligent recognition room, embodiment referring to Fig.1, including data
Count parsing module, terminal location locating module, indoor and outdoor subscriber identification module, three-dimensional grid locating module, MR signalings
Blind covering locating module, high value building recognition module and nine grids analysis module；
Wherein, the first output end of data statistics parsing module is connected with the input terminal of terminal location locating module, and second
Output end respectively with the second input terminal of indoor and outdoor subscriber identification module, three-dimensional the second input terminal of grid locating module, MR signalings
Blind covering locating module input terminal be connected；The first input end of indoor and outdoor subscriber identification module and terminal location locating module
Output end be connected, the first input end of three-dimensional grid locating module and the first output end phase of indoor and outdoor subscriber identification module
Even；The first input end of high value building recognition module is connected with the second output terminal of indoor and outdoor subscriber identification module,
Two input terminals are connected with the output end of three-dimensional grid locating module, third input terminal is defeated with the blind covering locating module of MR signalings
Outlet is connected；The input terminal of nine grids analysis module is connected with the output end of high value building recognition module.
Wherein, data resolution module is built-in with the location algorithm that AGPS, TA+RSRP are combined, for acquiring reporting of user
MR data, in conjunction with the LTE in MR data adopt firmly it is soft accept and believe enable, MR, webmaster achievement data, using built-in extension HATA moulds
Type and chaology algorithm obtain the sample number that each base station corresponds to the signal strength formation feature vector value of each grid reference point
According to collection, MR fingerprint bases are constituted；Wherein, the location algorithm that AGPS, TA+RSRP are combined refer to neural network positioning, TA+AOA it is fixed
Position, trigonal field strong fix and the comprehensive of cell localization use；When the sample and data modeling that can be used for neural computing refer to
In the presence of line library, positioned using neural network；Triangulation location mode and TA+AOA modes are used if neural network can not match；
If not having above, cell localization is used.
Terminal location locating module be used for according to the corresponding location fingerprint in user present position and preset matching rule come
MR fingerprint bases are inquired to determine the location of user.
Indoor and outdoor subscriber identification module is built-in with extension HATA model formations and user behavior stability judgement formula, knot
It shares family and the user behaviors related datas such as business number, business duration, business conduct occurs by chaology calculation formula, sentence
Disconnected user is indoor user or outdoor user；Wherein, extension HATA model formations refer to combining different environmental factors, setting
Corresponding propagation model parameter calculates signal based on different distance values and frequency range and propagates circuit loss value, judges residing for user
The MR point ratios that whether position is blocked and user is blocked；It refers to the shifting in conjunction with user that user behavior, which stablizes judgement formula,
Dynamic distance, the longitude and latitude of present position and the sequence vector of time, judge user behavior stability.
Three-dimensional grid locating module is used to realize MR stereoscopic localizeds based on indoor stereo fingerprint base；And utilize the position of user
Set variation, rate travel, main serving cell change rate, RSRP level of signal, type of service, complaint, performance event, user's value
Grid division is carried out with building information；
And according to grid division result combination indoor and outdoor user identification as a result, the level distribution for passing through MR in Data Analyzing Room
Judge that the indoor coverage of signal of building in grid is horizontal；
The blind covering locating module of MR signalings is used to be determined in ownership grid according to RRC information and be reset between user's generating system
To the frequency and relatively determine that corresponding grid is blind overlay area or weak overlay area according to the frequency and preset value.
It is covered in Indoor environment covering scene, on surface well but since level signal is shaken, particularly with LTE
The frequent gravity treatment of user is to 2/3G networks, and existing index and method can not really reflect these blind covering scenes, can not be accurate
Determine position.In the present embodiment, by identify UU mouthful it is soft accept and believe enable in the collected RRC of " procedure_type " critical field disappear
Breath, the message for being 10 to number carry out ownership grid analysis, obtain the frequency redirected between user's generating system in the grid, with
Determine that the grid region is blind overlay area or weak overlay area；Association analysis based on MR data Yu subscriber signaling data,
Determine coverage hole.
High value building recognition module is used for the information point sorting algorithm according to built-in geographical similarity, will include stream
Amount, PRB (physical radio resource block) utilization rate, flows backwards ratio, complains, the multi-dimensional data association analysis of covering scene at number of users,
Joint assignment is carried out by grid slice, exports high value grid, and combined high precision three-dimensional map and building divide floor three-dimensional
Simulation result determines hot spot region, and needs the hot spot region building inventory of the plan optimization network coverage；High value is built
What object identification module was identified is the hot spot building that user distribution density is big, portfolio is high.
With reference to Fig. 2, nine grids analysis module is built-in with preset three-level network benefit grading standard and three-level network
The maturity criteria for classifying, come the quality of wireless network of the weak covering building of high value identified to high value building recognition module
Quantitative evaluation is carried out, with the network construction priority of each building of determination.
Based on terminal location locating module, indoor and outdoor subscriber identification module, three-dimensional grid locating module, MR signalings it is blind
Locating module, high value building recognition module and nine grids analysis module are covered, building in-door covering blind spot, stream are accurately identified
Calorimetric point, and wireless network is ranked up from two dimensions of network trap and network maturity automatically according to preset grade；
Solve that traditional network planning occurs it is comprehensive it is insufficient, positioning accuracy is poor, input resource is more and inefficiency is asked
Topic；Technical basis is provided for the network planning, the accurate dispensing for instructing network construction resource, optimization and marketing popularization.
As it will be easily appreciated by one skilled in the art that the above is only the preferred embodiment of the utility model only, not
To limit the utility model, any modification made within the spirit and principle of the present invention, equivalent replacement and change
Into etc., it should be included within the scope of protection of this utility model.
Claims (3)
1. the device of weak covering in a kind of intelligent recognition room, which is characterized in that fixed including data statistics parsing module, terminal location
Position module, indoor and outdoor subscriber identification module, three-dimensional grid locating module；
The input terminal of the terminal location locating module is connected with the first output end of data statistics parsing module, and indoor and outdoor is used
The first input end of family identification module is connected with the output end of terminal location locating module, and the first of three-dimensional grid locating module is defeated
Enter end with the output end of indoor and outdoor subscriber identification module to be connected；The second input terminal of indoor and outdoor subscriber identification module, three-dimensional grid
The second input terminal of lattice locating module is connected with the second output terminal of data statistics parsing module.
2. the device of weak covering in intelligent recognition room as described in claim 1, which is characterized in that further include that the blind of MR signalings covers
Lid locating module and high value building recognition module；
The blind covering locating module input terminal of the MR signalings is connected with the second output terminal of data statistics parsing module；The height
The first input end of value building recognition module is connected with the second output terminal of indoor and outdoor subscriber identification module, second inputs
The output end with three-dimensional grid locating module is held to be connected, the output end phase of third input terminal and the blind covering locating module of MR signalings
Even.
3. the device of weak covering in intelligent recognition room as claimed in claim 1 or 2, which is characterized in that further include nine grids point
Analyse module；The input terminal of the nine grids analysis module is connected with the output end of high value building recognition module；
The nine grids analysis module is built-in with preset three-level network benefit grading standard and three-level network maturity is drawn
Minute mark is accurate, and quantitative evaluation is carried out come the quality of wireless network for the hot spot region identified to high value building recognition module.
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| CN201721792523.XU CN207939741U (en) | 2017-12-20 | 2017-12-20 | The device of weak covering in a kind of intelligent recognition room |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111194039A (en) * | 2018-11-15 | 2020-05-22 | 华为技术有限公司 | Network scene recognition method and access network equipment |
| CN111385739A (en) * | 2018-12-29 | 2020-07-07 | 北京亿阳信通科技有限公司 | Indoor network stereo presentation method and device based on LTE MR |
| CN113702609A (en) * | 2021-08-27 | 2021-11-26 | 武汉虹信技术服务有限责任公司 | Water quality detection method and system |
-
2017
- 2017-12-20 CN CN201721792523.XU patent/CN207939741U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111194039A (en) * | 2018-11-15 | 2020-05-22 | 华为技术有限公司 | Network scene recognition method and access network equipment |
| CN111194039B (en) * | 2018-11-15 | 2022-05-10 | 华为技术有限公司 | Network scene recognition method and access network equipment |
| CN111385739A (en) * | 2018-12-29 | 2020-07-07 | 北京亿阳信通科技有限公司 | Indoor network stereo presentation method and device based on LTE MR |
| CN111385739B (en) * | 2018-12-29 | 2022-10-28 | 北京亿阳信通科技有限公司 | Indoor network stereo presentation method and device based on LTE MR |
| CN113702609A (en) * | 2021-08-27 | 2021-11-26 | 武汉虹信技术服务有限责任公司 | Water quality detection method and system |
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