CN110662212A - Mobile phone terminal identification method based on big data - Google Patents
Mobile phone terminal identification method based on big data Download PDFInfo
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- CN110662212A CN110662212A CN201910961860.4A CN201910961860A CN110662212A CN 110662212 A CN110662212 A CN 110662212A CN 201910961860 A CN201910961860 A CN 201910961860A CN 110662212 A CN110662212 A CN 110662212A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
- H04W8/24—Transfer of terminal data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/005—Discovery of network devices, e.g. terminals
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Abstract
The invention discloses a mobile phone terminal identification method based on big data, which utilizes big data technology to obtain the mobile phone IMEI and the mobile phone terminal model from an operator APP, an operator S1U core network and an operator business hall, and utilizes a network crawler to crawl the mobile phone terminal model through the mobile phone IMEI. And corresponding logic processing is carried out on the data to form a final mobile phone terminal table, and the application system is associated with the mobile phone terminal table through the input IMEI of the mobile phone to obtain the correct mobile phone terminal model of the user. The method and the device can effectively analyze the correct model of the mobile phone terminal.
Description
Technical Field
The invention relates to a mobile phone terminal identification method based on big data.
Background
In order to analyze the groups of 2/3/4G users in a city, 2/3/4G traffic data in dimensions of cells, grids and the like and reasonable deployment conditions of base stations in the city range, the operators can analyze the groups. The reason for low 4G network traffic needs to be analyzed: whether the 4G signal is weak due to base station construction or whether the following is the case:
1) the method comprises the following steps that a double-card double-standby mobile phone and different operators set a certain mobile phone card flow, and the other mobile phone card closes 3/4G flow;
2) the operator customizes the mobile phone, such as the customization machine of the telecommunication uses the mobile phone card to use 2/3G network only;
3) some areas use 4G network, some areas use 3G network;
4) older intelligent machines such as iphone4 mobile phones can only use 3G mobile phone signals;
5) the old machine can only use the 2G network.
Different operation decisions are made according to the counted results, and the decision can be accurately analyzed based on the model data of the mobile phone terminal of the user according to the needs. Therefore, an effective method for identifying the model of the mobile phone terminal is required.
Disclosure of Invention
The invention aims to provide a mobile phone terminal identification method based on big data, which can effectively analyze the correct model of a mobile phone terminal.
The technical scheme for realizing the purpose is as follows:
a mobile phone terminal identification method based on big data comprises the following steps:
step S1, obtaining IMEI (international mobile equipment identity) and terminal model (such as P30) of the mobile phone from an operator APP (application program), and generating a mobile phone terminal table;
step S2, obtaining records of mobile phone IMEI reported by core network of operator S1U (interface between eNodeB and S-GW, used for bearing path exchange between user plane tunnel and eNodeB during switching) or reported by business hall of operator and corresponding mobile phone terminal model, searching whether mobile phone IMEI same as mobile phone IMEI in the records exists in the mobile phone terminal table, if yes, storing the records into invalid IMEI table;
step S3, if the IMEI of the mobile phone in the record reported by the operator S1U core network does not exist in the mobile phone terminal table, comparing the record with the IMEI and the mobile phone terminal model in each record reported by the operator business hall, if the IMEI and the mobile phone terminal model are consistent, recording the IMEI and the mobile phone terminal model in the record reported by the operator S1U core network into the mobile phone terminal table; if the IMEI of the mobile phone in the record reported by the core network of the operator S1U is inconsistent with the IMEI of the mobile phone in each record reported by the business hall of the operator, or the IMEI of the mobile phone is consistent and the models of the mobile phone terminals are inconsistent, the IMEI of the mobile phone reported by the core network of the operator S1U is recorded, and the IMEI of the mobile phone is used for crawling the model of the mobile phone terminal corresponding to the IMEI of the mobile phone by a network crawler;
step S4, if any one of the record of the IMEI and the corresponding terminal model of the mobile phone reported by the core network of the operator S1U and the record of the IMEI and the corresponding terminal model of the mobile phone reported by the business hall of the operator is consistent with the record of the IMEI and the corresponding terminal model of the mobile phone crawled by the network crawler, recording the same IMEI and the corresponding terminal model of the mobile phone into the mobile phone terminal table; if the terminal numbers are inconsistent, recording the terminal numbers into a problem terminal table;
and step S5, the application system associates the IMEI with the mobile phone terminal list to obtain the correct mobile phone terminal model of the user.
Preferably, the steps S1 to S4 are performed once at regular intervals of a preset time.
Preferably, the IMEI of the mobile phone in the problem terminal table and the model of the corresponding mobile phone terminal are manually judged and determined whether to be recorded in the mobile phone terminal table.
Preferably, the IMEI and the model of the mobile phone terminal, which are acquired by the operator APP, the operator S1U core network, the operator business hall and the web crawler, are stored in the corresponding interface table.
The invention has the beneficial effects that: the invention analyzes the correct model of the mobile phone terminal according to the mobile phone terminal information in different data sources in the big data, thereby effectively counting and analyzing the 2/3/4G mobile phone user number and distribution state.
Drawings
FIG. 1 is a flow chart of a big data based mobile phone terminal identification method of the present invention;
fig. 2 is a schematic diagram of statistical analysis 2/3/4G of the number of mobile phone users and distribution status in the invention.
Detailed Description
The invention will be further explained with reference to the drawings.
Referring to fig. 1, the method for identifying a mobile phone terminal based on big data according to the present invention includes the following steps:
step S1, obtaining the IMEI and the model of the mobile Phone Terminal from the APP (such as the application program of the space wing), and generating a mobile Phone Terminal table (Phone _ Terminal), which is used as a base database of the model of the mobile Phone Terminal.
Step S2, obtaining the IMEI of the mobile phone and each record of the corresponding mobile phone terminal model reported by the operator S1U core network or the operator business hall, looking up whether there is the same mobile phone IMEI as the mobile phone IMEI in the record in the mobile phone terminal table, if there is, storing the record in an Invalid IMEI table (Invalid _ IMEI), and identifying whether there is a label as Y.
Step S3, if the IMEI of the mobile phone in the record reported by the operator S1U core network does not exist in the mobile phone terminal table, comparing the record with the IMEI and the mobile phone terminal model in each record reported by the operator business hall, if the IMEI and the mobile phone terminal model are consistent, recording the IMEI and the mobile phone terminal model in the record reported by the operator S1U core network into the mobile phone terminal table; if the IMEI of the mobile phone in the record reported by the operator S1U core network is inconsistent with the IMEI of the mobile phone in each record reported by the operator business hall, or the IMEI of the mobile phone is consistent and the mobile phone terminal model is inconsistent, the IMEI of the mobile phone reported by the operator S1U core network is recorded, and the mobile phone terminal model corresponding to the IMEI of the mobile phone is crawled by using the IMEI of the mobile phone through a network crawler.
Step S4, if any one of the record of the IMEI and the corresponding terminal model of the mobile phone reported by the core network of the operator S1U and the record of the IMEI and the corresponding terminal model of the mobile phone reported by the business hall of the operator is consistent with the record of the IMEI and the corresponding terminal model of the mobile phone crawled by the network crawler, recording the same IMEI and the corresponding terminal model of the mobile phone into the mobile phone terminal table; if the two are not consistent, the data is recorded in a problem Terminal table (Other _ Terminal), and the manual judgment is used for determining whether the data is recorded in the mobile phone Terminal table or not.
And step S5, the application system associates the IMEI with the finally obtained mobile phone terminal list to obtain the correct mobile phone terminal model of the user.
Specifically, steps S1 to S4 are periodically executed once per a preset time (generally once an hour), so as to automatically enrich the cell phone terminal list, which is now used as a cell phone terminal model terminal library.
The IMEI and the terminal model of the mobile phone, which are acquired from the operator APP, the operator S1U core network, the operator business hall, and the web crawler, are stored in the corresponding interface table, that is, a corresponding interface table is created in the Hive (logic table) to access the data reported by the different interfaces in fig. 2. In fig. 1 and 2, the above four-dimensional information is aggregated by big data Kafka (high throughput message middleware) + flux (data collector) access technology. Wherein Phone _ Terminal is a mobile Phone Terminal table, wherein the table records the IMEI and the model of the mobile Phone Terminal. Other _ Terminal is a question termination table: the table records the IMEI of the mobile phone terminal model which can not be correctly identified, the mobile phone terminal model and whether the mark exists. Invalid IMEI is Invalid IMEI table: the IMEI already present in the Phone _ Terminal table recorded in the table. And recording the IMEI and the mobile phone Terminal model reported by the APP in the IMEI _ Terminal _ App table. The IMEI and the cell phone Terminal type number reported by the S1U network Element are recorded in the IMEI _ Terminal _ Element table. The IMEI _ Terminal _ Business table records the IMEI and the mobile phone Terminal type number reported by the Business hall. And recording the IMEI of the web crawler and a mobile phone Terminal type number table in the IMEI _ Terminal _ Inter table. The IMSI _ IMEI _ Flow table records a mobile phone number, IMSI, IMEI, 2G traffic, 3G traffic, and 4G traffic. The IMSI _ Terminal _ Subject table records a mobile phone number, IMSI, IMEI, 2G traffic, 3G traffic, 4G traffic and a corresponding mobile phone Terminal model. The Hive On Hadoop represents that data are stored in an HDFS (distributed file system) file system in the Hadoop (distributed system infrastructure), and the Hive is a logic table of the HDFS and analyzes and counts the data in the HDFS file.
In addition, the IMSI _ IMEI _ Flow table and the finally obtained mobile phone Terminal table are associated through the IMEI of the mobile phone to obtain an IMSI _ Terminal _ Subject table. The application system can analyze the proportion map of different brands of mobile phones in the whole network according to the mobile phone number, the IMSI and the mobile phone traffic (2/3/4G) in the IMSI _ Terminal _ Subject table. The system can also correlate the result by a mobile phone number main key according to the IMSI _ Terminal _ Subject and the Fact _ ipp _ flux table (containing the mobile phone number, IMSI and cell code of the user), and correlate the result with the cell code in the Dim _ enodeb to obtain 2/3/4G traffic distribution map and distribution maps of different mobile phone brands.
The above embodiments are provided only for illustrating the present invention and not for limiting the present invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and therefore all equivalent technical solutions should also fall within the scope of the present invention, and should be defined by the claims.
Claims (4)
1. A mobile phone terminal identification method based on big data is characterized by comprising the following steps:
step S1, obtaining the IMEI and the model of the mobile phone terminal from the APP of the operator, and generating a mobile phone terminal table;
step S2, obtaining the IMEI reported by the core network of the operator S1U or reported by the business hall of the operator and each record corresponding to the model of the mobile phone terminal, searching whether the IMEI of the mobile phone same as the IMEI of the mobile phone in the record exists in the mobile phone terminal table, and if so, storing the record into an invalid IMEI table;
step S3, if the IMEI of the mobile phone in the record reported by the operator S1U core network does not exist in the mobile phone terminal table, comparing the record with the IMEI and the mobile phone terminal model in each record reported by the operator business hall, if the IMEI and the mobile phone terminal model are consistent, recording the IMEI and the mobile phone terminal model in the record reported by the operator S1U core network into the mobile phone terminal table; if the IMEI of the mobile phone in the record reported by the core network of the operator S1U is inconsistent with the IMEI of the mobile phone in each record reported by the business hall of the operator, or the IMEI of the mobile phone is consistent and the models of the mobile phone terminals are inconsistent, the IMEI of the mobile phone reported by the core network of the operator S1U is recorded, and the IMEI of the mobile phone is used for crawling the model of the mobile phone terminal corresponding to the IMEI of the mobile phone by a network crawler;
step S4, if any one of the record of the IMEI and the corresponding terminal model of the mobile phone reported by the core network of the operator S1U and the record of the IMEI and the corresponding terminal model of the mobile phone reported by the business hall of the operator is consistent with the record of the IMEI and the corresponding terminal model of the mobile phone crawled by the network crawler, recording the same IMEI and the corresponding terminal model of the mobile phone into the mobile phone terminal table; if the terminal numbers are inconsistent, recording the terminal numbers into a problem terminal table;
and step S5, the application system associates the IMEI with the mobile phone terminal list to obtain the correct mobile phone terminal model of the user.
2. The big-data based mobile phone terminal identification method according to claim 1, wherein the steps S1 through S4 are performed periodically once at a preset time.
3. The method according to claim 1, wherein the IMEI of the mobile phone and the model of the corresponding mobile phone terminal in the problem terminal table are manually determined and determined to be recorded in the mobile phone terminal table.
4. The method as claimed in claim 1, wherein IMEI and model of the mobile phone terminal obtained by the operator APP, the operator S1U core network, the operator business hall and the web crawler are stored in the corresponding interface table.
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| CN111510887A (en) * | 2020-03-30 | 2020-08-07 | 深圳联想懂的通信有限公司 | SIM card management method, equipment and storage medium |
| CN112615966A (en) * | 2020-12-14 | 2021-04-06 | 南方电网海南数字电网研究院有限公司 | Cat pool terminal identification method |
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