CN106941690B - Data quality determination method and device - Google Patents
Data quality determination method and device Download PDFInfo
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- CN106941690B CN106941690B CN201610005372.2A CN201610005372A CN106941690B CN 106941690 B CN106941690 B CN 106941690B CN 201610005372 A CN201610005372 A CN 201610005372A CN 106941690 B CN106941690 B CN 106941690B
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Abstract
The embodiment of the invention discloses a data quality determination method, which comprises the following steps: receiving collected data of a collecting system, first data of each interface of a network and second data of a drive test system; generating complete user information of each interface according to the first data and the second data; generating user information to be verified according to the acquired data; and determining the data quality index of the acquisition system according to the complete user information and the user information to be verified. The embodiment of the invention also discloses a data quality determination device.
Description
Technical Field
The present invention relates to Long Term Evolution (LTE), and in particular, to a method and an apparatus for determining data quality.
Background
In order to meet the requirement of LTE network operation and maintenance, the LTE network optimization work provides network monitoring and maintenance based on network full data. In order to achieve the aim, a data acquisition system for acquiring data of a plurality of interfaces of the LTE network has been introduced into the current network, wherein the interfaces comprise a Uu/X2/S1-MME/S1-U/S6a/S11/SGs interface. Based on the raw data collected on the interfaces, the data collection system generates corresponding user behavior records, generates Key Performance Indicators (KPIs) data according to the user behavior records, and then reports the user behavior records and the KPIs data to a storage unit for storage, or directly reports the user behavior records and the KPIs data to an application system for network optimization analysis. Therefore, the accuracy of the reported user behavior records and KPI data cannot be ensured.
Disclosure of Invention
In order to solve the above technical problems, embodiments of the present invention desirably provide a data quality determining method and apparatus, which can determine accuracy of reported user behavior records and KPI data.
The technical scheme of the invention is realized as follows:
in a first aspect, a method for determining data quality is provided, where the method includes:
receiving collected data of a collecting system, first data of each interface of a network and second data of a drive test system;
generating complete user information of each interface according to the first data and the second data;
generating user information to be verified according to the acquired data;
and determining the data quality index of the acquisition system according to the complete user information and the user information to be verified.
Optionally, the user information includes user behavior records and/or KPI data,
the generating of the complete user information of each interface according to the first data and the second data includes:
analyzing the first data and the second data to generate user behavior records of each interface;
correlating backfill and/or combining the user behavior records of each interface to obtain a complete user behavior record of each interface;
and when the user information comprises KPI data, generating complete KPI data according to the complete user behavior record.
Optionally, the determining the data quality index of the acquisition system according to the complete user information and the user information to be verified includes:
comparing the complete user information with the user information to be verified to obtain a comparison result;
generating data quality indexes of the acquisition system according to the comparison result, wherein the data quality indexes comprise a user behavior record generation success rate, a user behavior record field accuracy rate, a user equipment identity backfill accuracy rate, a position backfill accuracy rate and a KPI accuracy rate;
displaying the data quality indicator in a predetermined form.
Optionally, the receiving the collected data of the collecting system includes:
detecting whether a communication link of the acquisition system and the data quality determination device is a normal link;
and when the communication link is a normal link, receiving the collected data of the collection system.
In a second aspect, an apparatus for determining data quality is provided, the apparatus comprising:
the receiving unit is used for receiving the acquired data of the acquisition system, the first data of each interface of the network and the second data of the drive test system;
a generating unit, configured to generate complete user information of each interface according to the first data and the second data; the system is also used for generating user information to be verified according to the acquired data;
and the determining unit is used for determining the data quality index of the acquisition system according to the complete user information and the user information to be verified.
Optionally, the user information includes user behavior records and/or KPI data,
the generating unit is specifically configured to:
analyzing the first data and the second data to generate user behavior records of each interface;
correlating backfill and/or combining the user behavior records of each interface to obtain a complete user behavior record of each interface;
and when the user information comprises KPI data, generating complete KPI data according to the complete user behavior record.
Optionally, the determining unit is specifically configured to:
comparing the complete user information with the user information to be verified to obtain a comparison result;
generating data quality indexes of the acquisition system according to the comparison result, wherein the data quality indexes comprise a user behavior record generation success rate, a user behavior record field accuracy rate, a user equipment identity backfill accuracy rate, a position backfill accuracy rate and a KPI accuracy rate;
displaying the data quality indicator in a predetermined form.
Optionally, the receiving unit is specifically configured to:
detecting whether a communication link of the acquisition system and the data quality determination device is a normal link;
and when the communication link is a normal link, receiving the collected data of the collection system.
The embodiment of the invention provides a data quality determination method and a data quality determination device, which are characterized by firstly receiving collected data of a collection system, first data of each interface of a network and second data of a drive test system; generating complete user information of each interface according to the first data and the second data; then, generating user information to be verified according to the acquired data; and determining the data quality index of the acquisition system according to the complete user information and the user information to be verified. Therefore, before reporting to the application system, complete user information of each interface is generated according to the first data of the network and the second data of the drive test system, and similarly, the collected data of the collection system generates user information to be verified, so that the data quality index of the collection system is determined according to the three data, and the accuracy of the reported user information is determined.
Drawings
Fig. 1 is a flowchart of a data quality determination method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a data quality determination system according to an embodiment of the present invention;
fig. 3 is a flowchart of another data quality determination method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a data quality determining apparatus according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Example one
An embodiment of the present invention provides a data quality determining method, which is applied to a data quality determining apparatus, and as shown in fig. 1, the method includes:
The preferred network of this embodiment is a Long Term Evolution (LTE) network, and each interface of the LTE network may include a Uu/MR/X2/S1-MME/S6a/SGs/S11/S1-U interface; the interface of the acquisition system comprises a data reporting interface, the data reporting interface is in butt joint with the data quality determination device, and the data quality determination device and the acquisition system transmit data through the data reporting interface. The same network may also be another network, which is not limited in this embodiment, and accordingly, when the network changes, the interface of the network may change correspondingly, which may also cause the interface of the acquisition system to change.
The receiving of the acquired data of the acquisition system may specifically include: detecting whether a communication link of the acquisition system and the data quality determination device is a normal link; and when the communication link is a normal link, receiving the collected data of the collecting system. The prior art of the detection method is quite complete, and the detailed description of the embodiment is omitted.
And 102, generating complete user information of each interface according to the first data and the second data.
When the user information includes a user behavior record, step 102 may specifically include: analyzing the first data and the second data to generate user behavior records of each interface; correlating backfill and/or combining user behavior records of each interface to obtain a complete user behavior record of each interface; when the user information includes KPI data, step 102 may specifically include: analyzing the first data and the second data to generate user behavior records of each interface; correlating backfill and/or combining the user behavior records of each interface to obtain a complete user behavior record of each interface; and generating complete KPI data according to the complete user behavior record. When the user information includes user behavior records and KPI data, the implementation of step 102 is the same as when the user information includes KPI data.
And 103, generating user information to be verified according to the acquired data.
Here, the user behavior record to be verified and the KPI data to be verified can be directly generated from the collected data.
And step 104, determining the data quality index of the acquisition system according to the complete user information and the user information to be verified.
Specifically, comparing the complete user information with the user information to be verified to obtain a comparison result; generating data quality indexes of the acquisition system according to the comparison result, wherein the data quality indexes comprise a user behavior record generation success rate, a user behavior record field accuracy rate, a user equipment identity backfill accuracy rate, a position backfill accuracy rate and a KPI accuracy rate; displaying the data quality indicator in a predetermined form.
Specifically, the generating of the data quality index of the acquisition system according to the comparison result includes: determining the number of successful verification of the user behavior record to be verified and the complete user behavior according to the comparison result, and dividing the successful verification number by the number of the complete user behavior to obtain the success rate of generating the user behavior record; similarly, determining the number of fields of the user behavior record to be verified, which is the same as the number of fields of the complete user behavior record, and dividing the number of fields by the number of fields of the complete user behavior record to serve as the accuracy of the user behavior record field; in the same way, the number of the identities of the user equipment in the user behavior record to be verified is determined to be the same as the number of the identities of the user equipment in the complete user behavior record, and the number of the identities of the user equipment in the complete user behavior record is divided by the number of the identities of the user equipment in the complete user behavior record to serve as the backfilling accuracy rate of the identities of the user equipment; determining whether the position fields of the user equipment in the user behavior record to be verified are correct or not, and dividing the correct number by the number of the user equipment positions in the complete user behavior record to serve as the position backfill accuracy rate; and dividing the same number of the KPI data to be verified and the complete KPI data by the number of the complete KPI data to be verified as the KPI accuracy.
It should be noted that when the user information includes only the user behavior record, comparing the complete user information with the user information to be verified can only compare the user behavior record, and thus, the data quality index does not include the KPI accuracy. The predetermined form may include an icon form, a number form, etc., and the present embodiment is not limited.
Therefore, before reporting to the application system, complete user information of each interface is generated according to the first data of the network and the second data of the drive test system, and similarly, the collected data of the collection system generates user information to be verified, so that the data quality index of the collection system is determined according to the three data, and the accuracy of the reported user information is determined.
Example two
An embodiment of the present invention provides a data quality determining method, which is applied to a data quality determining system, and as shown in fig. 2, the system includes: the LTE Network comprises a Mobility Management Entity (MME), a Home Subscriber Server (HSS), a Mobile Switching Center (MSC), a Serving GateWay (SGW)/Public Data Network GateWay (PGW) and a base station, wherein the MSC is connected with a 2-Generation wireless telephone technology (2G) Network, the SGW/PGW is connected with an external Network, and an interface of the LTE Network can comprise a Uu/MR/X2/S1-MME/S6a/SGs/S11/S1-U interface. The interface of the acquisition system comprises a data reporting interface, and the data quality determination device is in butt joint with the acquisition system through the data reporting interface, as shown in fig. 3, the method comprises the following steps:
step 201, configuring a Trace function for International Mobile Subscriber Identity (IMSI) of the drive test terminal in the MME, and the MME recording core network signaling and user plane data of each drive test terminal and storing the core network signaling and user plane data in a Trace file.
Here, the identifier of the drive test terminal may be a unique identifier, and may be not only the IMSI but also a Mobile station International Subscriber identity (MSISDN).
And step 205, the acquisition system sends the acquired data to the data quality determination device through the data reporting interface.
And step 206, the data quality determination device analyzes the acquired data to obtain the user behavior record to be verified and the KPI data to be verified.
And step 207, the data quality determination device determines the data reporting interface index based on the acquired data.
Here, the data reporting interface index may include a packet loss rate, an error rate, a time delay, and the like.
It is worth noting that the integrity of this scheme is not affected even without step 207.
In step 208, the MME stops the Trace function.
Here, when the MME stops the Trace function, the drive test is terminated.
Step 209, the data quality determination device stops receiving data from the data reporting interface.
Step 210, the data quality determination device obtains a drive test log file of the drive test system.
And step 212, the data quality determination device analyzes the drive test log file and the Trace file to obtain user behavior records of each interface of the LTE network.
And step 213, backfilling the data quality determination device in a correlated manner and synthesizing user behavior records of each interface to obtain complete user behavior records.
Step 214, the data quality determination device generates complete KPI data according to the complete user behavior record.
Step 215, the data quality determination device compares the complete user behavior record with the user behavior record to be verified, and compares the complete KPI data with the KPI data to be verified to obtain a comparison result.
And step 216, the data quality determination device generates a data quality index of the acquisition system according to the comparison result.
Here, the data quality index includes a user behavior record generation success rate, a user behavior record field accuracy rate, a UE identity backfill accuracy rate, a location backfill accuracy rate, and a KPI accuracy rate.
And step 217, the data quality determination device displays the data reporting interface index and the data quality index in a form of a chart.
It should be noted that the data quality determination apparatus may also perform quality analysis on the dial-up survey area network based on the complete user behavior record and the complete KPI data, and may present and view the analysis result.
EXAMPLE III
An embodiment of the present invention provides a data quality determining apparatus 30, as shown in fig. 4, where the apparatus 30 includes:
the receiving unit 301 is configured to receive collected data of a collection system, first data of each interface of a network, and second data of a drive test system.
A generating unit 302, configured to generate complete user information of each interface according to the first data and the second data; and the authentication server is also used for generating user information to be authenticated according to the acquired data.
The determining unit 303 is configured to determine a data quality index of the acquisition system according to the complete user information and the user information to be verified.
Therefore, before reporting to the application system, complete user information of each interface is generated according to the first data of the network and the second data of the drive test system, and similarly, the collected data of the collection system generates user information to be verified, so that the data quality index of the collection system is determined according to the three data, and the accuracy of the reported user information is determined.
Further, the user information includes a user behavior record and/or KPI data, and the generating unit 302 is specifically configured to:
analyzing the first data and the second data to generate user behavior records of each interface;
correlating backfill and/or combining the user behavior records of each interface to obtain a complete user behavior record of each interface;
and when the user information comprises KPI data, generating complete KPI data according to the complete user behavior record.
Further, the determining unit 303 is specifically configured to:
comparing the complete user information with the user information to be verified to obtain a comparison result;
generating data quality indexes of the acquisition system according to the comparison result, wherein the data quality indexes comprise a user behavior record generation success rate, a user behavior record field accuracy rate, a user equipment identity backfill accuracy rate, a position backfill accuracy rate and a KPI accuracy rate;
displaying the data quality indicator in a predetermined form.
Further, the receiving unit 301 is specifically configured to:
detecting whether a communication link of the acquisition system and the data quality determination device is a normal link;
and when the communication link is a normal link, receiving the collected data of the collection system.
In practical applications, the receiving Unit 301, the generating Unit 302, and the determining Unit 303 may be implemented by a Central Processing Unit (CPU), a microprocessor Unit (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like, which are located in the data quality determining apparatus 30.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (7)
1. A method for determining data quality, the method comprising:
receiving collected data of a collecting system, first data of each interface of a network and second data of a drive test system;
generating complete user information of each interface according to the first data and the second data;
generating user information to be verified according to the acquired data;
determining a data quality index of the acquisition system according to the complete user information and the user information to be verified;
wherein the user information comprises user behavior records and/or key performance indicators, KPI, data,
the generating of the complete user information of each interface according to the first data and the second data includes:
analyzing the first data and the second data to generate user behavior records of each interface;
correlating backfill and/or combining the user behavior records of each interface to obtain a complete user behavior record of each interface;
and when the user information comprises KPI data, generating complete KPI data according to the complete user behavior record.
2. The method of claim 1, wherein the determining the data quality indicator of the acquisition system according to the complete user information and the user information to be verified comprises:
comparing the complete user information with the user information to be verified to obtain a comparison result;
generating data quality indexes of the acquisition system according to the comparison result, wherein the data quality indexes comprise a user behavior record generation success rate, a user behavior record field accuracy rate, a user equipment identity backfill accuracy rate, a position backfill accuracy rate and a KPI accuracy rate;
displaying the data quality indicator in a predetermined form.
3. The method of claim 1 or 2, wherein the receiving acquisition data of an acquisition system comprises:
detecting whether a communication link of the acquisition system and the data quality determination device is a normal link;
and when the communication link is a normal link, receiving the collected data of the collection system.
4. An apparatus for determining data quality, the apparatus comprising:
the receiving unit is used for receiving the acquired data of the acquisition system, the first data of each interface of the network and the second data of the drive test system;
a generating unit, configured to generate complete user information of each interface according to the first data and the second data; the system is also used for generating user information to be verified according to the acquired data;
the determining unit is used for determining the data quality index of the acquisition system according to the complete user information and the user information to be verified;
wherein the user information comprises user behavior records and/or key performance indicators, KPI, data,
the generating unit is specifically configured to:
analyzing the first data and the second data to generate user behavior records of each interface;
correlating backfill and/or combining the user behavior records of each interface to obtain a complete user behavior record of each interface;
and when the user information comprises KPI data, generating complete KPI data according to the complete user behavior record.
5. The apparatus according to claim 4, wherein the determining unit is specifically configured to:
comparing the complete user information with the user information to be verified to obtain a comparison result;
generating data quality indexes of the acquisition system according to the comparison result, wherein the data quality indexes comprise a user behavior record generation success rate, a user behavior record field accuracy rate, a user equipment identity backfill accuracy rate, a position backfill accuracy rate and a KPI accuracy rate;
displaying the data quality indicator in a predetermined form.
6. The apparatus according to claim 4 or 5, wherein the receiving unit is specifically configured to:
detecting whether a communication link of the acquisition system and the data quality determination device is a normal link;
and when the communication link is a normal link, receiving the collected data of the collection system.
7. A storage medium storing executable instructions which, when executed by at least one processor, implement the data quality determination method of any one of claims 1 to 3.
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| CN107682889A (en) * | 2017-09-11 | 2018-02-09 | 北京奇安信科技有限公司 | Wireless network performance method of testing, apparatus and system |
| CN110675008B (en) * | 2018-07-02 | 2022-07-01 | 上海旺链信息科技有限公司 | Data quality verification method and system of Internet of things equipment and storage medium |
| CN110719604A (en) * | 2019-10-14 | 2020-01-21 | 中兴通讯股份有限公司 | Method and device for sending system performance parameters, management equipment and storage medium |
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