CN110248371B - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
- Publication number
- CN110248371B CN110248371B CN201910473478.9A CN201910473478A CN110248371B CN 110248371 B CN110248371 B CN 110248371B CN 201910473478 A CN201910473478 A CN 201910473478A CN 110248371 B CN110248371 B CN 110248371B
- Authority
- CN
- China
- Prior art keywords
- base station
- terminal
- underground parking
- target terminal
- terminals
- 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.)
- Active
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000005070 sampling Methods 0.000 claims abstract description 21
- 238000004891 communication Methods 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims description 32
- 230000015654 memory Effects 0.000 claims description 19
- 238000003860 storage Methods 0.000 claims description 15
- 238000010276 construction Methods 0.000 abstract description 5
- 238000007726 management method Methods 0.000 description 20
- 238000012360 testing method Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 5
- 238000010295 mobile communication Methods 0.000 description 4
- 238000005457 optimization Methods 0.000 description 4
- 238000012795 verification Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 208000004605 Persistent Truncus Arteriosus Diseases 0.000 description 1
- 208000037258 Truncus arteriosus Diseases 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
- H04W16/20—Network planning tools for indoor coverage or short range network deployment
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a data processing method and device, relates to the technical field of communication, and is used for determining an underground parking lot to be covered with a mobile network. The method comprises the following steps: acquiring historical sampling data; wherein the historical sample data comprises: each target terminal in at least one target terminal sends a history record of a position updating request to a base station; each target terminal in the at least one target terminal is a vehicle-mounted terminal supporting a preset network system; determining a first base station according to historical sampling data; the first base station comprises a base station which receives that the number of times that at least one target terminal sends a position updating request is greater than a preset threshold value, and the grade of a network system is lower than that of the preset network system; determining a target underground parking lot from underground parking lots contained in the coverage range of the first base station; wherein the target underground parking lot includes: and the underground parking lot is not covered by the preset network system. The embodiment of the invention is applied to the mobile network construction planning of the underground parking lot.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a data processing method and apparatus.
Background
At present, most underground parking lots in cities realize parking fee payment by using a mobile payment two-dimensional code scanning mode, and the dependence on a mobile network is stronger in the future, so that stricter requirements are provided for construction planning covered by the mobile network. When mobile network construction planning is carried out aiming at the scene of the underground parking lot, network optimization personnel are required to use the handheld test terminal to carry out network test on all underground parking lots, and test data are obtained and analyzed to determine whether the underground parking lots are covered by the mobile network; meanwhile, the information such as the number of parking spaces, the utilization rate of the parking spaces, the flow amount of people and the like of the underground parking lot is counted, and whether the underground parking lot needs to be covered by the mobile network signals or not is determined by analyzing the information such as the utilization rate of the parking spaces, the flow amount of people and the like.
On one hand, the network planning method is long in time consumption and high in labor cost for carrying out network test and analyzing test data on the underground parking lot; on the other hand, because underground parking garage vehicle, personnel mobility are big, can't accurate statistics parking stall rate of utilization and personnel mobility to there is great deviation when this underground parking garage to the mobile network dependence analysis, can't accurate definite underground parking garage to the demand degree of mobile network. Therefore, how to accurately determine the underground parking lot of the mobile network to be covered on the basis of saving time and cost becomes a technical problem to be solved urgently.
Disclosure of Invention
The embodiment of the invention provides a data processing method and a data processing device, which are used for accurately determining an underground parking lot of a mobile network to be covered on the basis of saving time and cost and providing guidance suggestions for network optimization personnel to plan mobile network construction for the underground parking lot.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, a data processing method is provided, and the method includes: acquiring historical sampling data; wherein the historical sample data comprises: each target terminal in at least one target terminal sends a history record of a position updating request to a base station; each target terminal in the at least one target terminal is a vehicle-mounted terminal supporting a preset network system; determining a first base station according to the historical sampling data; the first base station comprises a base station which receives that the number of times that the at least one target terminal sends the position updating request is greater than a preset threshold value, and the grade of the network system is lower than the preset network system; determining a target underground parking lot from underground parking lots contained in the coverage range of the first base station; wherein the target underground parking lot includes: and the underground parking lot is not covered by the preset network system.
In a second aspect, a data processing apparatus is provided, the apparatus including an obtaining unit, a determining unit, and a result generating unit; the acquisition unit is used for acquiring historical sampling data; wherein the historical sample data comprises: each target terminal in at least one target terminal sends a history record of a position updating request to a base station; each target terminal in the at least one target terminal comprises a vehicle-mounted terminal supporting a preset network system; the determining unit is used for determining the first base station according to the historical sampling data after the acquiring unit acquires the historical sampling data; the first base station comprises a base station which receives that the number of times that the at least one target terminal sends the position updating request is greater than a preset threshold value, and the grade of the network system is lower than the preset network system; the result generating unit is used for determining a target underground parking lot from the underground parking lots included in the coverage range of the first base station; wherein the target underground parking lot includes: and the underground parking lot is not covered by the preset network system.
In a third aspect, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the data processing method of the first aspect.
In a fourth aspect, a data processing apparatus is provided, including: a processor and a memory, the memory is used for storing programs, and the processor calls the programs stored in the memory to execute the data processing method of the first aspect.
According to the data processing method and device provided by the embodiment of the invention, through acquiring the historical sampling data, the base station which receives the position updating request sent by at least one target terminal and has the frequency more than the threshold value and the network system grade lower than the preset network system grade is determined according to the historical sampling data, so that the first base station where the underground parking lot which has higher use frequency and is not covered by the preset network system is located can be determined. And then, the target underground parking lot which is not covered by the preset network system can be found out from the underground parking lots within the coverage range of the first base station, so that the underground parking lot which needs to be covered by the preset network system signal can be accurately found out.
Drawings
Fig. 1 is a flowchart illustrating a data processing method according to an embodiment of the present invention;
fig. 2 is a second schematic flow chart of a data processing method according to an embodiment of the present invention;
fig. 3 is a third schematic flow chart of a data processing method according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention;
fig. 5 is a second schematic structural diagram of a data processing apparatus according to an embodiment of the present invention;
fig. 6 is a third schematic structural diagram of a data processing apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.
In the description of the present invention, "/" means "or" unless otherwise specified, for example, a/B may mean a or B. "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. "at least one" means one or more, "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.
In this embodiment of the present invention, the base station may be a Base Transceiver Station (BTS) in a global system for mobile communication (GSM), a Code Division Multiple Access (CDMA), a base station in a Wideband Code Division Multiple Access (WCDMA), a base station in a Long Term Evolution (LTE) network, a base station in an internet of things (IoT), a base station in a future 5G mobile communication network or a base station in a future evolved Public Land Mobile Network (PLMN), which is not limited in this respect.
In embodiments of the present invention, a terminal is used to provide voice and/or data connectivity services to a user. A terminal may have different names, such as User Equipment (UE), access terminal, mobile device, wireless communication device, vehicular user equipment, terminal agent or terminal device, etc. Optionally, the terminal may be various handheld devices, vehicle-mounted devices, and wearable devices having a communication function, which is not limited in this embodiment of the present invention. For example, the handheld device may be a smartphone and the in-vehicle device may be an in-vehicle navigation system.
The inventive concept of the present invention is described below: currently, when planning mobile network signal coverage, each operator needs to use a handheld test terminal to perform network test on all underground parking lots, particularly in a special scene of an underground parking lot, and acquire and analyze test data to determine whether the underground parking lot is covered by a mobile network; meanwhile, the information such as the number of parking spaces, the utilization rate of the parking spaces, the flow amount of people and the like of the underground parking lot is counted, and whether the underground parking lot needs to be covered by the mobile network signals or not is determined by analyzing the information such as the utilization rate of the parking spaces, the flow amount of people and the like.
Based on the prior art, the invention discovers that the network planning method has the advantages of long time consumption and high labor cost for carrying out network test and analyzing test data on the underground parking lot on one hand; on the other hand, because underground parking garage vehicle, personnel mobility are big, can't accurate statistics parking stall rate of utilization and personnel mobility to there is great deviation when this underground parking garage to the mobile network dependence analysis, can't accurate definite underground parking garage to the demand degree of mobile network.
In view of the above technical problems, in the present invention, if a vehicle-mounted terminal installed on a vehicle in an internet of things platform can be combined, after the vehicle-mounted terminal of the vehicle enters an underground parking lot, detailed information of a base station corresponding to the underground parking lot can be determined according to a location update request sent to the base station corresponding to the underground parking lot by using a network environment of the underground parking lot. The base stations where the underground parking lots not covered by the preset network system are located can be determined through the network system of the base stations, the base stations with higher parking lot dependence of the non-preset network system can be determined through the position updating request times, and therefore the underground parking lots not covered by the preset network system in the coverage range of the base stations can be determined to be target underground parking lots. Finally, the underground parking lot of the mobile network to be covered can be accurately determined on the basis of saving time and cost, and the technical problem is solved.
Based on the above inventive concept, an embodiment of the present invention provides a data processing method, which is applied to mobile network construction planning of an underground parking lot, and as shown in fig. 1, the method includes S101-S104:
s101, determining at least one target terminal according to a preset mode.
Specifically, each target terminal in the at least one target terminal is a vehicle-mounted terminal supporting a preset network system.
Optionally, the preset manner in S101 in the embodiment of the present invention may specifically include S101a-S101 c:
s101a, first sample data is acquired.
The first sample data may include an International Mobile Equipment Identity (IMEI) of each of the n terminals, where n is greater than or equal to 1.
Specifically, the IMEI of each terminal may be acquired from the network management platform according to the internet of things card number of each terminal, and the internet of things card number of each terminal may be acquired from the network management platform according to the exclusive number segment of the internet of things card.
In an implementation manner, the internet of things card number of each terminal in the n terminals can be found out from the database of the network management platform according to the exclusive number segment of the internet of things card.
It should be noted that the network management platform may include a wireless network management platform, a core network management platform, and other types of integrated network management platforms capable of recording residence information of the internet of things card in the mobile communication system.
Illustratively, the number segment specific to the internet of things card may be any one of a number segment specific to a mobile internet of things card (148/1440), a number segment specific to a connected internet of things card (146/10646), or a number segment specific to a telecommunication internet of things card (1410). The IMEI corresponds to each terminal one by one and is unique all over the world, and the IMEI consists of 15 digits; the first part is a Type Allocation Code (TAC) composed of the first 8 digits and used for distinguishing the brand and model of the mobile terminal, the second part is a Serial Number (SNR) composed of the 6 digits from the 9 th digit and used for distinguishing the production Serial Number of each terminal, and the third part is a verification Code obtained by calculating the first 14 digits through a preset algorithm.
S101b, according to IMEI of each terminal in n terminals, searching terminals belonging to vehicle-mounted terminals from n terminal devices, and generating a first sample set.
Wherein the first sample set comprises m vehicle-mounted terminals.
Specifically, the terminal information of the internet of things can be extracted from a core network management platform in the mobile communication system through the IMEI of each terminal, and the terminal information of the internet of things comprises the module model, the module name and the terminal brand of each terminal. And searching and inquiring brands, module types and names of n terminals, screening m terminal types special for vehicle-mounted from the n terminals, and generating a first sample set.
For example, the function type of each terminal can be determined according to the brand, the module model and the name of the terminal, and can be one of vehicle-mounted equipment, a POS machine, an intelligent water meter and an intelligent door lock.
S101c, selecting at least one vehicle-mounted terminal from the first sample set as at least one target terminal.
Specifically, at least one vehicle-mounted terminal in the m vehicle-mounted terminals in the first sample set is used as at least one target terminal.
Optionally, in the embodiment of the present invention, after the at least one vehicle-mounted terminal is obtained, the TAC of the at least one vehicle-mounted terminal may be extracted from the IMEI corresponding to the at least one vehicle-mounted terminal, and according to the TAC of the at least one vehicle-mounted terminal, all terminals corresponding to all the TACs, which are the same as each other, different in SNR, and different in verification code, are extracted through a core network management platform in a network management platform.
It should be noted that all terminals corresponding to each TAC have the same TAC, different SNRs, and different verification codes, and may be understood as all terminals of the same brand and the same model under different network systems.
Optionally, the preset manner in S101 in the embodiment of the present invention may further specifically include S101d-S101 g:
and S101d, acquiring second sample data.
Wherein the second sample data comprises IMEI of each of the q terminals. Specifically, the IMEI of each terminal may be obtained from the network management platform.
In one implementation, the q terminals in the second sample data may be selected from the first sample set generated in S101b described above.
For a specific embodiment of obtaining the IMEI of each terminal, reference may be made to the relevant content in step S101 a.
S101e, according to the IMEI of each terminal in q terminals, determining the network system of each terminal in q terminals corresponding to the IMEI of each terminal in q terminals.
Specifically, according to the IMEI of each of the q terminals, the core network management platform of the network management platform may be used to query the network standard that each of the q terminals can support.
Illustratively, there is a terminal that can simultaneously support two network systems, LTE and GSM.
S101f, searching terminals supporting the preset network system from the q terminals according to the network system of each terminal in the q terminals, and generating a second sample set.
Specifically, according to the network standard that each terminal of the q terminals can support, p terminals that support the preset network standard are queried from the q terminals, and a second sample set is generated, where the second sample set includes the p terminals that support the preset network standard.
It should be noted that one terminal can simultaneously support multiple network systems, and the terminal can automatically select a network system to be used according to the surrounding network environment.
It should be further noted that the preset network system may be set by a network optimization person.
For example, the preset network system may be an LTE network system, when the terminal supports both an LTE network and a GSM network, if the terminal is in an environment where the terminal is located, the terminal automatically sends information to the base station through the LTE network system, and if the terminal is in the network environment where the terminal is located, the terminal automatically selects a GSM network with a network system level lower than that of the LTE network to send information to the base station.
S101g, selecting at least one terminal supporting the preset network system from the second sample set as at least one target terminal.
Specifically, at least one terminal supporting the preset network system among the p terminals supporting the preset network system in the second sample set is used as at least one target terminal.
Optionally, the preset manner in S101 in the embodiment of the present invention may further specifically include S101h-S101 j:
and S101h, acquiring third sample data.
Specifically, according to the IMEI of each terminal in the j terminals, the Access Point Name (APN) accessed by the j terminals at the core network side can be queried through the core network management platform of the network management platform.
The third sample data may specifically include an access point parameter APN of each of the j terminals.
And the APN of each terminal in the j terminals is used for determining whether each terminal in the j terminals is a terminal corresponding to the non-operation vehicle.
In one implementation, the j terminals in the third sample data may be selected from the first sample set generated in S101b and/or the second sample set generated in S101 f.
In a specific embodiment of acquiring the IMEI of each terminal, reference may be made to the contents of step S101a described above.
S101i, searching terminals corresponding to non-operation vehicles from the j terminals according to the APN of each terminal in the j terminals, and generating a third sample set.
Specifically, due to the fact that the APNs applied in different industries are different, the terminals corresponding to the operating vehicles can be removed from j terminals according to the APNs of the terminals, the terminals corresponding to k non-operating vehicles are determined, and a third sample set is generated, wherein the third sample set comprises the terminals corresponding to the k non-operating vehicles.
And S101j, selecting a terminal corresponding to at least one non-operating vehicle from the third sample set as at least one target terminal.
Specifically, at least one terminal corresponding to the non-operating vehicle is selected from terminals corresponding to k non-operating vehicles in the third sample set to serve as at least one target terminal.
The embodiment of the invention provides the method for determining the at least one target terminal, which can obtain all types of vehicle-mounted terminals meeting the requirements of network standards through a network management platform, and can obtain more comprehensive and accurate data in the process of determining the mobile network underground parking lot to be covered, so that the mobile network underground parking lot to be covered can be accurately determined.
And S102, acquiring historical sampling data.
Specifically, the historical sampling data includes a history that the at least one second base station receives a location update request sent by each target terminal in the at least one target terminal.
The at least one second base station receives a history of location update requests sent by each target terminal in the at least one target terminal, wherein the history includes engineering parameters of the at least one second base station.
Wherein the engineering parameters of the at least one second base station comprise: the network type of at least one second base station and the frequency of receiving the position updating request sent by at least one target terminal.
It should be noted that the history of the at least one second base station receiving the location update request sent by each target terminal in the at least one target terminal may specifically include information such as a terminal name, a terminal type, second base station information, location update request content, and the number of location update requests of each target terminal in the at least one target terminal.
Optionally, as shown in fig. 2, acquiring the number of times that at least one second base station receives at least one location update request sent by a target terminal in the embodiment of the present invention may specifically include S1021-S1023:
s1021, determining an International Mobile Subscriber Identity (IMSI) corresponding to the IMEI of each target terminal according to the IMEI of each target terminal in the at least one target terminal.
Specifically, according to the IMEI of each target terminal, obtaining the IMSI corresponding to the IMEI of each target terminal from the network management platform, where the IMSI is used to uniquely identify one mobile subscriber in a global scope.
S1022, obtain a location update request set received by each second base station in the at least one second base station.
The location updating request set comprises location updating requests sent by at least one terminal, and the at least one terminal comprises all terminals which can send the location updating requests in the coverage area of the second base station.
It should be noted that the location update request set may be obtained from a network management platform.
S1023, according to the IMSI of each target terminal, determining the number of times of receiving at least one target terminal sending position updating request from the position updating request set.
Specifically, the IMSI of each target terminal is used as an identifier, and a location update request corresponding to the IMSI of each target terminal is determined from a location update request set; and determining the number of times of receiving the location updating request corresponding to the IMSI of each target terminal, wherein the number of times of receiving the location updating request sent by at least one target terminal by at least one second base station is used as the number of times of obtaining the location updating request sent by at least one target terminal.
It should be noted that the location update request corresponding to the IMSI of each target terminal may be one of a location update request sent when the power-on IMSI of each target terminal is attached or a location update request sent periodically.
Further, the target terminals can be classified into a powered-off process and an unrelated process according to the terminal types or terminal systems of the target terminals. And if the target terminal is in a relevant process, the target terminal is automatically closed after the vehicle enters the underground parking lot and is flamed out. The target terminal is started along with the starting of the vehicle, and selects a proper network signal from high to low according to the network system level to send an IMSI attachment position updating request to the base station; if the target terminal does not have any relation with the process, the target terminal does not send a normal position updating request to the base station within a period of time from the flameout of the vehicle to the starting of the vehicle, and if the parking time T exceeds the specified time T of the periodic position updating, the target terminal sends a periodic position updating request to the base station.
Illustratively, in actual operation, the LTE network is ranked higher than the WCDMA network and the GSM network, and the WCDMA network is ranked higher than the GSM network.
In another implementation, the historical sample data may further include terminal information of each target terminal of the at least one target terminal sending a location update request to the base station.
Specifically, the terminal information of each target terminal sending the location update request to the base station in the at least one target terminal includes the number of times that each target terminal sends the location update request to the base station, a network type used for sending the location update request to the base station, and a Global Cell identity (CGI) corresponding to the base station.
The terminal information may be stored in each target terminal, and may include: the name of the target terminal, the category of the target terminal, the time, content and times for sending the location updating request to the base station by the target terminal, the network system used for sending the location updating request to the base station, and the CGI corresponding to the base station.
The CGI corresponding to the base station may be obtained according to the IMSI of each terminal in step S1021.
Specifically, location update request information corresponding to the IMSI of each target terminal is extracted from the network management platform, and the CGI of the location update resident cell corresponding to each target terminal is determined from the location update request information.
And S103, determining the first base station according to the historical sampling data.
Specifically, the second base station which is determined from the at least one second base station according to the engineering parameters of the at least one second base station in the historical sampling data, receives the position updating request sent by the at least one target terminal for a number of times greater than a preset threshold value and has a network system grade lower than a preset network system is used as the first base station.
The first base station comprises a base station which receives that the number of times that at least one target terminal sends a position updating request is larger than a preset threshold value, and the grade of a network system is lower than the preset network system.
It should be noted that the preset threshold may be set by the network optimization staff in other manners, or may be calculated by the following method:
For example, the preset network type may be an LTE network type, and if the number of times that any one of the second base stations receives the location update request is greater than the preset threshold and the network type level is lower than the LTE network type, the second base station may be determined to be the first base station.
In the embodiment of the present invention, the method for determining the first base station in step S103 is determined according to the engineering parameters of at least one second base station in step S102. Meanwhile, in another implementation manner, the determining, by the first base station, according to terminal information that each target terminal of the at least one target terminal sends a location update request to the base station may further include:
and determining the first base station according to the times of sending the position updating request to the base station by each target terminal, the used network type and the CGI corresponding to the base station.
The first base station may further refer to step S103, where the number of times that each target terminal sends the location update request to the base station is greater than a preset threshold, a network format grade used by each target terminal to send the location update request to the base station is lower than a preset network format, and a method for specifically determining the preset threshold and further determining the first base station for the base station corresponding to the CGI is not repeated here.
And S104, determining a target underground parking lot from the underground parking lots included in the coverage range of the first base station.
Wherein the target underground parking lot includes: and the underground parking lot is not covered by the preset network system.
Optionally, as shown in fig. 3, S104 in the embodiment of the present invention may specifically include S1041 to S1043:
and S1041, determining underground parking lot data in the coverage area of the first base station.
Specifically, engineering parameters of a first base station are obtained, wherein the engineering parameters comprise base station longitude and latitude, base station antenna azimuth, antenna hanging height, antenna downward inclination angle and the like; the coverage area of the first base station is determined through the engineering parameters of the first base station, the longitude and latitude, the coverage area and the electronic map of the first base station are combined, retrieval is carried out according to keywords, and all underground parking lot data in the coverage area of the first base station can be determined.
The underground parking lot data comprises identification information of underground parking lots in each place within the coverage range of the first base station, and the identification information comprises names, addresses, longitude and latitude, linear distances between the underground parking lots and the base station and the like.
S1042, inquiring the network system covered by each underground parking lot in the underground parking lot set according to the identification information of each underground parking lot in the coverage area.
Specifically, according to the information such as the name, the address, the longitude and latitude and the like in the identification information of each underground parking lot in the coverage range, the identification information of each underground parking lot is matched to the greatest extent from the network management platform, whether the underground parking lots are covered by the mobile network signals or not is inquired, and if the underground parking lots are covered by the mobile network signals, the network system covered by the mobile network signals of the underground parking lots is inquired.
And S1043, generating a processing result according to the network system covered by the parking lots under each region.
The processing result comprises identification information of the target underground parking lot; the target underground parking lot is an underground parking lot which is not covered by the preset network system signal and is contained in the coverage range of the first base station.
Specifically, the network system of the underground parking lot covered by the mobile network signal is compared with the preset network system, and if the underground parking lot is not covered by the mobile network signal of the preset network system, the underground parking lot not covered by the preset network system signal is determined as the target underground parking lot and a processing result is generated.
It should be noted that, in the embodiment of the present invention, an underground parking lot without coverage of the preset network system signal also includes an underground parking lot without coverage of the mobile network signal.
According to the data processing method and device provided by the embodiment of the invention, through acquiring the historical sampling data, the base station which receives the position updating request sent by at least one target terminal and has the frequency more than the threshold value and the network system grade lower than the preset network system grade is determined according to the historical sampling data, so that the first base station where the underground parking lot which has higher use frequency and is not covered by the preset network system is located can be determined. And then, the target underground parking lot which is not covered by the preset network system can be found out from the underground parking lots within the coverage range of the first base station, so that the underground parking lot which needs to be covered by the preset network system signal can be accurately found out.
In the embodiment of the present invention, the data processing apparatus may be divided into the functional modules or the functional units according to the above method examples, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module may be implemented in a form of hardware, or may be implemented in a form of a software functional module or a functional unit. The division of the modules or units in the embodiments of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In the case of dividing each functional module by corresponding functions, fig. 4 shows a schematic diagram of a possible structure of the data processing apparatus according to the above embodiment, and the data processing apparatus 200 includes an obtaining unit 201, a determining unit 202, and a result generating unit 203; an acquisition unit 201 for acquiring historical sample data; wherein the historical sample data comprises: each target terminal in at least one target terminal sends a history record of a position updating request to a base station; each target terminal in the at least one target terminal comprises a vehicle-mounted terminal supporting a preset network system; a determining unit 202 configured to determine the first base station according to the historical sample data after the obtaining unit 201 obtains the historical sample data; the first base station comprises a base station which receives that the number of times that at least one target terminal sends a position updating request is greater than a preset threshold value, and the grade of a network system is lower than that of the preset network system; a result generating unit 203, configured to determine a target underground parking lot from the underground parking lots included in the coverage area of the first base station; wherein the target underground parking lot includes: and the underground parking lot is not covered by the preset network system.
Optionally, as shown in fig. 5, the data apparatus 200 according to the embodiment of the present invention further includes a first target terminal generating unit 204; a first target terminal generating unit 204, configured to obtain first sample data; the first sample data comprises international mobile equipment identity codes IMEI of all the n terminals; a first target terminal generating unit 204, further configured to search, according to the IMEI of each terminal in the n terminals, terminals belonging to a vehicle-mounted terminal from the n terminal devices, and generate a first sample set; the first sample set comprises m vehicle-mounted terminals; the first target terminal generating unit 204 is further configured to select at least one vehicle-mounted terminal from the first sample set as at least one target terminal.
Optionally, as shown in fig. 5, the data apparatus 200 according to the embodiment of the present invention further includes a second target terminal generating unit 205; a second target terminal generating unit 205, configured to obtain second sample data; the second sample data comprises international mobile equipment identity codes IMEI of each terminal in the q terminals; a second target terminal generating unit 205, further configured to determine, according to the IMEI of each of the q terminals, a network type of each of the q terminals corresponding to the IMEI of each of the q terminals; the second target terminal generating unit 205 is further configured to search, according to the network system of each terminal in the q terminals, terminals that support the preset network system from the q terminals, and generate a second sample set; the second sample set comprises p terminals supporting a preset network system; the second target terminal generating unit 205 is further configured to select at least one terminal supporting the preset network system from the second sample set as at least one target terminal.
Optionally, as shown in fig. 5, the data apparatus 200 according to the embodiment of the present invention further includes a third target terminal generating unit 206; a third target terminal generating unit 206, configured to obtain third sample data; the third sample data comprises an access point parameter APN of each terminal in j terminals; the third target terminal generating unit 206 is further configured to search, according to the APN of each terminal in the j terminals, a terminal corresponding to the non-operating vehicle from the j terminals, and generate a third sample set; the third sample set comprises terminals corresponding to k non-operating vehicles; the third target terminal generating unit 206 is further configured to select, from the third sample set, a terminal corresponding to at least one non-operating vehicle as at least one target terminal.
Optionally, in the embodiment of the present invention, sending, by each target terminal in the at least one target terminal, the history of the location update request to the base station specifically includes: engineering parameters of at least one second base station; the engineering parameters of the at least one second base station comprise the network type of the at least one second base station and the times of receiving the position updating request sent by the at least one target terminal; the determining unit 202 is specifically configured to determine, according to the engineering parameter of the at least one second base station, a second base station that is determined from the at least one second base station, receives the second base station, where the number of times that the at least one target terminal sends the location update request is greater than a preset threshold and the network type level is lower than a preset network type, and serves as the first base station.
Optionally, as shown in fig. 5, the result generating unit 203 in the embodiment of the present invention specifically includes: a determining subunit 2031, an inquiring subunit 2032, and a generating subunit 2033; a determining subunit 2031 configured to determine underground parking lot data within the coverage of the first base station; the underground parking lot data comprises identification of underground parking lots in each region within a coverage range; the query subunit 2032 is configured to, after the determination subunit 2031 determines the data of the underground parking lots, query the network systems covered by the underground parking lots in each underground parking lot set according to the identifications of the underground parking lots in each coverage area; a generating subunit 2033, configured to, after the querying subunit 2032 queries the network systems covered by the underground parking lots in the underground parking lot set, generate a processing result according to the network systems covered by the underground parking lots; the processing result comprises identification information of the target underground parking lot; the target underground parking lot is an underground parking lot which is not covered by a preset network system in at least one underground parking lot included in the coverage range of the first base station.
Fig. 6 shows a schematic diagram of another possible structure of the data processing apparatus according to the above embodiment. The device includes: a processor 302 and a communication interface 303. The processor 302 is used to control and manage the actions of the device, e.g., to perform various steps in the method flows shown in the above-described method embodiments, and/or to perform other processes for the techniques described herein. The communication interface 303 is used to support the communication of the apparatus with other network entities. The apparatus may further comprise a memory 301 and a bus 304, the memory 301 being arranged to store program codes and data of the apparatus.
The processor 302 may implement or execute various illustrative logical blocks, units and circuits described in connection with the present disclosure. The processor may be a central processing unit, general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, units, and circuits described in connection with the present disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others.
The bus 304 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
It is clear to those skilled in the art from the foregoing description of the embodiments that, for convenience and simplicity of description, the foregoing division of the functional units is merely used as an example, and in practical applications, the above function distribution may be performed by different functional units according to needs, that is, the internal structure of the device may be divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the above method embodiment.
Embodiments of the present invention provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the data processing method described in the above method embodiments.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the data processing apparatus, the computer-readable storage medium, and the computer program product in the embodiments of the present invention may be applied to the method described above, for technical effects that can be obtained by the method, reference may also be made to the method embodiments described above, and details of the embodiments of the present invention are not repeated herein.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions within the technical scope of the present invention are intended to be covered by the scope of the present invention.
Claims (14)
1. A data processing method, comprising:
acquiring historical sampling data; wherein the historical sample data comprises: each target terminal in at least one target terminal sends a history record of a position updating request to a base station; each target terminal in the at least one target terminal is a vehicle-mounted terminal supporting a preset network system;
each target terminal in the at least one target terminal sends a history of location update requests to the base station, which specifically includes: engineering parameters of at least one second base station; the engineering parameters of the at least one second base station comprise the network type of the at least one second base station and the times of receiving the position updating request sent by the at least one target terminal;
determining a first base station according to the historical sampling data; the first base station comprises a base station which receives that the number of times that the at least one target terminal sends the position updating request is greater than a preset threshold value, and the grade of the network system is lower than the preset network system;
determining a target underground parking lot from underground parking lots contained in the coverage range of the first base station; wherein the target underground parking lot includes: and the underground parking lot is not covered by the preset network system.
2. The data processing method of claim 1, wherein prior to said obtaining historical sample data, the method comprises: determining the at least one target terminal according to a preset mode; wherein, the preset mode includes:
acquiring first sample data; wherein the first sample data comprises an international mobile equipment identity code IMEI of each of the n terminals;
according to the IMEI of each terminal in the n terminals, searching terminals belonging to the vehicle-mounted terminal from the n terminal devices, and generating a first sample set; wherein the first sample set comprises m vehicle-mounted terminals;
and selecting at least one vehicle-mounted terminal from the first sample set as the at least one target terminal.
3. The data processing method of claim 1, wherein prior to said obtaining historical sample data, the method comprises: determining the at least one target terminal according to a preset mode; wherein, the preset mode includes:
acquiring second sample data; wherein the second sample data comprises international mobile equipment identity codes IMEI of each terminal in the q terminals;
determining the network system of each terminal in the q terminals corresponding to the IMEI of each terminal in the q terminals according to the IMEI of each terminal in the q terminals;
searching a terminal supporting the preset network system from the q terminals according to the network system of each terminal in the q terminals, and generating a second sample set; the second sample set comprises p terminals supporting the preset network standard;
and selecting at least one terminal supporting the preset network system from the second sample set as the at least one target terminal.
4. The data processing method of claim 1, wherein prior to said obtaining historical sample data, the method comprises: determining the at least one target terminal according to a preset mode; wherein, the preset mode includes:
acquiring third sample data; wherein, the third sample data comprises an access point parameter APN of each terminal in j terminals;
searching terminals corresponding to non-operation vehicles from the j terminals according to the APN of each terminal in the j terminals, and generating a third sample set; wherein the third sample set comprises terminals corresponding to k non-operating vehicles;
and selecting a terminal corresponding to at least one non-operating vehicle from the third sample set as the at least one target terminal.
5. The data processing method according to any one of claims 1 to 4,
the determining the first base station according to the historical sampling data specifically includes:
and determining, from the at least one second base station, a second base station, as the first base station, where the number of times of receiving the location update request sent by the at least one target terminal is greater than the preset threshold and the network type level is lower than the preset network type, according to the engineering parameters of the at least one second base station.
6. The data processing method according to any one of claims 1 to 4, wherein the determining a target underground parking lot from the underground parking lots included in the coverage area of the first base station specifically comprises:
determining underground parking lot data within the coverage area of the first base station; the underground parking lot data comprises identification of underground parking lots in each place within the coverage range;
inquiring network standards covered by each underground parking lot in the underground parking lot set according to the identification of each underground parking lot in the coverage range;
generating a processing result according to the network system covered by the parking lots under each region; the processing result comprises identification information of the target underground parking lot; the target underground parking lot is an underground parking lot which is not covered by the preset network standard in at least one underground parking lot included in the coverage range of the first base station.
7. A data processing device is characterized by comprising an acquisition unit, a determination unit and a result generation unit;
the acquisition unit is used for acquiring historical sampling data; wherein the historical sample data comprises: each target terminal in at least one target terminal sends a history record of a position updating request to a base station; each target terminal in the at least one target terminal comprises a vehicle-mounted terminal supporting a preset network system;
each target terminal in the at least one target terminal sends a history of location update requests to the base station, which specifically includes: engineering parameters of at least one second base station; the engineering parameters of the at least one second base station comprise the network type of the at least one second base station and the times of receiving the position updating request sent by the at least one target terminal;
the determining unit is used for determining the first base station according to the historical sampling data after the acquiring unit acquires the historical sampling data; the first base station comprises a base station which receives that the number of times that the at least one target terminal sends the position updating request is greater than a preset threshold value, and the grade of the network system is lower than the preset network system;
the result generating unit is used for determining a target underground parking lot from the underground parking lots included in the coverage range of the first base station; wherein the target underground parking lot includes: and the underground parking lot is not covered by the preset network system.
8. The data processing apparatus of claim 7, wherein the apparatus further comprises a first target terminal generation unit;
the first target terminal generation unit is used for acquiring first sample data; wherein the first sample data comprises an international mobile equipment identity code IMEI of each of the n terminals;
the first target terminal generating unit is further configured to search, according to the IMEI of each terminal in the n terminals, terminals belonging to a vehicle-mounted terminal from the n terminal devices, and generate a first sample set; wherein the first sample set comprises m vehicle-mounted terminals;
the first target terminal generation unit is further configured to select at least one vehicle-mounted terminal from the first sample set as the at least one target terminal.
9. The data processing apparatus of claim 7, wherein the apparatus further comprises a second target terminal generation unit;
the second target terminal generating unit is used for acquiring second sample data; wherein the second sample data comprises international mobile equipment identity codes IMEI of each terminal in the q terminals;
the second target terminal generating unit is further configured to determine, according to the IMEI of each of the q terminals, a network standard of each of the q terminals corresponding to the IMEI of each of the q terminals;
the second target terminal generation unit is further configured to search, according to the network standard of each of the q terminals, terminals that support the preset network standard from the q terminals, and generate a second sample set; the second sample set comprises p terminals supporting the preset network standard;
the second target terminal generating unit is further configured to select at least one terminal supporting the preset network standard from the second sample set as the at least one target terminal.
10. The data processing apparatus of claim 7, wherein the apparatus further comprises a third target terminal generation unit;
the third target terminal generating unit is used for acquiring third sample data; wherein, the third sample data comprises an access point parameter APN of each terminal in j terminals; the third target terminal generation unit is further configured to search a terminal corresponding to a non-operating vehicle from the j terminals according to the APN of each terminal in the j terminals, and generate a third sample set; wherein the third sample set comprises terminals corresponding to k non-operating vehicles;
the third target terminal generating unit is further configured to select, from the third sample set, at least one terminal corresponding to the non-operating vehicle as the at least one target terminal.
11. The data processing apparatus according to any one of claims 7 to 10,
the determining unit is specifically configured to determine, according to the engineering parameter of the at least one second base station, a second base station, as the first base station, from the at least one second base station, where a number of times for receiving the location update request sent by the at least one target terminal is greater than the preset threshold and a network type level of the second base station is lower than the preset network type.
12. The data processing apparatus according to any one of claims 7 to 10, wherein the result generation unit specifically includes: determining a subunit, an inquiring subunit and a generating subunit;
the determining subunit is configured to determine underground parking lot data within a coverage area of the first base station; the underground parking lot data comprises identification of underground parking lots in each place within the coverage range;
the inquiry subunit is configured to inquire, after the determining subunit determines the data of the underground parking lots, network systems covered by the underground parking lots in the underground parking lot set according to the identifiers of the underground parking lots in the coverage area;
the generating subunit is configured to generate a processing result according to the network systems covered by the various underground parking lots after the querying subunit queries the network systems covered by the various underground parking lots in the underground parking lot set; the processing result comprises identification information of the target underground parking lot; the target underground parking lot is an underground parking lot which is not covered by the preset network standard in at least one underground parking lot included in the coverage range of the first base station.
13. A computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the data processing method of any of claims 1-6.
14. A data processing apparatus, comprising: a processor, a memory, and a communication interface; the communication interface is used for the data processing device to communicate with other equipment or a network; the memory is used for storing one or more programs, the one or more programs include computer-executable instructions, and when the data processing device runs, the processor executes the computer-executable instructions stored in the memory to enable the data processing device to execute the data processing method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910473478.9A CN110248371B (en) | 2019-05-31 | 2019-05-31 | Data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910473478.9A CN110248371B (en) | 2019-05-31 | 2019-05-31 | Data processing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110248371A CN110248371A (en) | 2019-09-17 |
| CN110248371B true CN110248371B (en) | 2022-01-25 |
Family
ID=67885757
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910473478.9A Active CN110248371B (en) | 2019-05-31 | 2019-05-31 | Data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110248371B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111328082B (en) * | 2020-02-26 | 2023-03-28 | 中国联合网络通信集团有限公司 | Base station planning method, device, equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106454869A (en) * | 2016-11-02 | 2017-02-22 | 云南爱家智慧家庭科技有限公司 | 315MHz/ 433 MHz wireless communication networking method |
| CN109121070A (en) * | 2017-06-25 | 2019-01-01 | 丁俊杰 | A kind of underground parking bluetooth layout and localization method |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| PT2082605T (en) * | 2006-10-05 | 2018-01-04 | Eureka S A | Systems and methods for automated wireless authorization for entry into a geographic area |
| CN101742467B (en) * | 2009-12-23 | 2012-08-08 | 华为技术有限公司 | Method for controlling terminal access network, core network node and communication system |
| WO2013128613A1 (en) * | 2012-03-01 | 2013-09-06 | 富士通株式会社 | Management device, communication-quality-improvement-candidate identification method, communication-quality-improvement-candidate identification program, communication-route identification device, communication-route identification method, communication-route identification program, and wireless communication system |
| CN103731865A (en) * | 2012-10-11 | 2014-04-16 | 中兴通讯股份有限公司 | Wireless network coverage blind zone statistical method, mobile terminal and system |
| CN106162806B (en) * | 2016-08-31 | 2020-04-14 | 上海工业控制安全创新科技有限公司 | Networking method and device for Internet of vehicles system and Internet of vehicles system |
| JP6696417B2 (en) * | 2016-12-20 | 2020-05-20 | 株式会社オートネットワーク技術研究所 | In-vehicle update device, update system and portable communication device |
| CN106992902B (en) * | 2017-03-03 | 2019-12-24 | 北京联合大学 | Wireless network coverage blind area detection method and system |
| CN107818601A (en) * | 2017-10-23 | 2018-03-20 | 中国联合网络通信集团有限公司 | A kind of parking management method and device |
-
2019
- 2019-05-31 CN CN201910473478.9A patent/CN110248371B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106454869A (en) * | 2016-11-02 | 2017-02-22 | 云南爱家智慧家庭科技有限公司 | 315MHz/ 433 MHz wireless communication networking method |
| CN109121070A (en) * | 2017-06-25 | 2019-01-01 | 丁俊杰 | A kind of underground parking bluetooth layout and localization method |
Non-Patent Citations (1)
| Title |
|---|
| "基于CSS技术和TOA的室内停车场定位系统";李国良等;《南京师范大学学报(工程技术版)》;20150920;第15卷(第03期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110248371A (en) | 2019-09-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109151168B (en) | Switching method and device of riding codes, mobile terminal and readable storage medium | |
| CN110166943B (en) | Method for processing terminal position information | |
| CN106936887B (en) | Geographic position positioning method and device | |
| CN109561390B (en) | Method and device for determining public praise scene coverage cell | |
| CN102036368B (en) | Method and system for determining position of mobile wireless communication device | |
| CN111325561A (en) | Intelligent complaint processing method and device, electronic equipment and storage medium | |
| CN105430618A (en) | Network registration method and apparatus | |
| CN105491529A (en) | Memory mapping processing method of mobile terminal location data and big data platform | |
| CN109982257B (en) | Method, device and system for determining mobile user home region | |
| CN108711284B (en) | Method and device for determining road pedestrian flow | |
| CN107623945B (en) | Method, system and computer storage medium for locating area of mobile device | |
| CN103984716A (en) | Method and system for precisely positioning space address based on geographical information | |
| US20150195775A1 (en) | Wlan radiomap with access points uniquely identified by combination of bssid and mcc | |
| CN104994577A (en) | System for integrating action positioning of heterogeneous network and application method thereof | |
| CN109754631B (en) | Vehicle position tracking method and device, computer equipment and storage medium | |
| EP3193521A1 (en) | Method and server for saving standard format page | |
| CN110248371B (en) | Data processing method and device | |
| CN109196892B (en) | Method for remote provisioning of subscriber entities | |
| CN106658395A (en) | Place management method and system of AP equipment | |
| CN111356085A (en) | Roaming user positioning method, device, equipment and medium | |
| CN103763731A (en) | Positioning detection method and device | |
| CN114070749A (en) | Network quality evaluation method, device and storage medium | |
| CN103369669A (en) | Wireless location method and device used for mobile terminal | |
| CN105450702A (en) | Method and device for information transmission based on vehicle-borne equipment | |
| CN112995985B (en) | SIM card state information updating method and device and server |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |