WO2023173845A1 - 网络数据分析方法、可读介质和电子设备 - Google Patents

网络数据分析方法、可读介质和电子设备 Download PDF

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Publication number
WO2023173845A1
WO2023173845A1 PCT/CN2022/138421 CN2022138421W WO2023173845A1 WO 2023173845 A1 WO2023173845 A1 WO 2023173845A1 CN 2022138421 W CN2022138421 W CN 2022138421W WO 2023173845 A1 WO2023173845 A1 WO 2023173845A1
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data
electronic device
trellis
grid
encoding
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PCT/CN2022/138421
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English (en)
French (fr)
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张军
邢凯鹏
黄骞
王昊
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华为技术有限公司
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Publication of WO2023173845A1 publication Critical patent/WO2023173845A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/52—Network services specially adapted for the location of the user terminal

Definitions

  • This application relates to the field of communications, and in particular to a network data analysis method, a readable medium and an electronic device.
  • network planning and optimization based on user data carrying geographical location information, it can be used to analyze network characteristic indicators such as user traffic and base station signal coverage quality, so as to optimize the network in areas with poor network characteristic indicators.
  • multi-source data are usually obtained by operators and terminal equipment manufacturers through different grid coding schemes on the address location information corresponding to the business data collected by each. For example, there are two data sources. One data source is obtained by the operator and then trellis encoded. The other data source is obtained by the terminal equipment manufacturer and then trellis encoded.
  • the same geographical location information corresponding to multi-source data may have different encoding results, which in turn causes the multi-source data to be dislocated, overlapped, and covered in geographical space, making it possible to use multi-source data to determine network characteristic indicators.
  • the analysis results are far from the actual network characteristics. When network optimization is performed based on this analysis result, the optimization effect is not good.
  • embodiments of the present application provide a network data analysis method, a readable medium, and an electronic device.
  • the technical solution of the present application obtains the first trellis encoding data and the first service data from the first electronic device; sends the trellis encoding mode information of the first trellis encoding data to the second electronic device; and receives the trellis encoding method information sent by the second electronic device.
  • the first business data and the second business data are collaboratively analyzed.
  • the first electronic device and the second electronic device can use the same trellis coding method to perform trellis encoding, so that the trellis encoding data can be used as a keyword to perform collaborative analysis on the first business data and the second business data.
  • the analysis results are more accurate.
  • the network planning solution or network optimization solution is more reasonable. And there is no need to perform data adaptation, eliminating the cost of adapting multi-source data.
  • the first aspect of the present application provides a network data analysis method, which method includes: obtaining first trellis coded data and first service data from a first electronic device; sending a portion of the first trellis coded data to a second electronic device.
  • Trellis encoding method information wherein the first electronic device and the second electronic device use different access methods to access the network; receiving the second trellis encoding data corresponding to the first trellis encoding data sent by the second electronic device, and second service data corresponding to the first service data, wherein the second trellis-encoded data is encoded by the second electronic device according to the encoding method information using the same encoding method as the first trellis-encoded data; based on the first The trellis coded data and/or the second trellis coded data are used to analyze the first service data and the second service data.
  • the second service data and the first service data have a one-to-one correspondence.
  • the first service data is the key quality indicator (Key Quality Index, KQI) data of the first user using the terminal device (such as a mobile phone) to make calls or surf the Internet at the first location, and is used to indicate some services of the first user making calls, surfing the Internet, etc.
  • KQI mainly includes business experience indicators such as network signals, community labels, and Internet speeds when users access the Internet daily.
  • the second service data may be traffic statistics data, measurement reports (Measurement Report, MR), and call history reports (Call History Report, CHR) and other wireless side business data.
  • These wireless side business data can include end-to-end round-trip time (E2E_RTT), the number of activated users at the cell level, the level strength/level interference of the main serving cell and neighboring cells, channel quality, cell level Transmit power, time and other performance indicators.
  • E2E_RTT end-to-end round-trip time
  • the second trellis coded data and the first trellis coded data also have a one-to-one correspondence.
  • the first grid coded data is when the above-mentioned terminal equipment is talking or surfing the Internet at the first location, the terminal equipment uses the grid coding method configured by the terminal equipment manufacturer to perform the first location (expressed in latitude and longitude) located by the terminal equipment through GPS. Obtained by trellis encoding.
  • the second grid coding data is the network planning and optimization platform that uses the grid coding method configured by the terminal equipment manufacturer to filter out the user location information that is the same as the location information of the terminal equipment user based on the wireless side business data collected by it.
  • the user's position (such as the first position) is obtained after grid encoding.
  • the network planning and network optimization platform can use the grid code configured by the terminal device manufacturer received from the cloud platform According to the trellis encoding method information corresponding to the mode, it is determined that the trellis encoding method configured by the terminal equipment manufacturer is used for trellis encoding, and the trellis encoding data on the operator side is obtained.
  • the terminal device can use the network configuration corresponding to the grid coding method configured by the operator received from the cloud platform.
  • the trellis encoding method information is determined to use the trellis encoding method configured by the operator to perform trellis encoding, and the terminal side trellis encoding data is obtained.
  • the first electronic device and the second electronic device use the same grid coding method to perform grid coding, which can eliminate the adaptation cost of multi-source data and eliminate problems such as grid dislocation, overlap, and coverage.
  • the encoding method information is the encoding method of the first grid coded data, and the grid code corresponding to the first grid coded data is sent to the second electronic device.
  • the encoding method information includes: the encoding method of obtaining the first trellis encoded data from the first electronic device; and the encoding method of forwarding the obtained first trellis encoded data to the second electronic device.
  • the second electronic device can directly perform trellis encoding according to the received first trellis encoding method. Since the first trellis coding method is the trellis coding method adopted by the first electronic device, the second electronic device and the first electronic device adopt the same trellis coding method, so that the first electronic device and the second electronic device can The encoding results for the same user's location information are the same. This can avoid problems such as grid misalignment, overlap, and coverage. This makes the analysis results more accurate when the first business data and the second business data are collaboratively analyzed using the grid coded data as a key. Then, when using the analysis results for network planning or network optimization, the network planning solution or network optimization solution is more reasonable. And there is no need to perform data adaptation, eliminating the cost of adapting multi-source data.
  • the encoding method information is a manufacturer identification or operator identification of the first electronic device, and a link corresponding to the first grid encoding data is sent to the second electronic device.
  • Coding method information related to grid encoding method including:
  • the manufacturer identification or operator identification of the first electronic device from the first electronic device; determine the encoding method of the first grid encoding data of the first electronic device according to the obtained manufacturer identification or operator identification; provide the second electronic device with The electronic device forwards the determined encoding method of the first trellis encoding data.
  • the second electronic device performs trellis encoding according to the encoding method of the received first trellis encoded data to obtain the second trellis encoded data.
  • the first trellis coding method is the trellis coding method adopted by the first electronic device
  • the second electronic device and the first electronic device adopt the same trellis coding method, so that the first electronic device and the second electronic device can
  • the encoding results for the same user's location information are the same. This can avoid problems such as grid misalignment, overlap, and coverage.
  • This makes the analysis results more accurate when the first business data and the second business data are collaboratively analyzed using the grid coded data as a key. Then, when using the analysis results for network planning or network optimization, the network planning solution or network optimization solution is more reasonable. And there is no need to perform data adaptation, eliminating the cost of adapting multi-source data.
  • the encoding method information is the manufacturer identification or operator identification of the first electronic device, and the first grid encoding data is sent to the second electronic device. Coding method information related to the grid encoding method, including:
  • the manufacturer identification or operator identification of the first electronic device from the first electronic device; forward the obtained manufacturer identification or operator identification to the second electronic device, so as to obtain the first electronic device according to the manufacturer identification or operator identification. How the first trellis encoded data is encoded.
  • the second electronic device can store the manufacturer identification of each terminal device and the number of each terminal device.
  • the second electronic device obtains the manufacturer identification of the first electronic device from the first electronic device; based on the obtained manufacturer identification, determines the grid encoding method used by the first electronic device. Coding method, so that the second electronic device can use the same trellis coding method as the first electronic device (that is, the trellis coding method configured by the terminal device manufacturer) to perform trellis encoding.
  • the second electronic device can store the operator's identification and the corresponding information of each operator. lattice encoding method, then the second electronic device obtains the corresponding operator identification of the first electronic device from the first electronic device; based on the obtained operator identification, determines the lattice encoding of the first electronic device.
  • the encoding method is adopted, so that the second electronic device can use the same trellis encoding method as the first electronic device (that is, the trellis encoding method configured by the operator) to perform trellis encoding.
  • the encoding results of the first electronic device and the second electronic device for the same user location information can be the same.
  • This can avoid problems such as grid misalignment, overlap, and coverage.
  • This makes the analysis results more accurate when the first business data and the second business data are collaboratively analyzed using the grid coded data as a key. Then, when using the analysis results for network planning or network optimization, the network planning solution or network optimization solution is more reasonable. And there is no need to perform data adaptation, eliminating the cost of adapting multi-source data.
  • the first grid coded data is coded by the first electronic device in the following manner:
  • the first electronic device collects the first service data and determines the first user location data corresponding to the first service data; the first electronic device adopts the first grid encoding method to perform grid coding on the determined first user location data. , get the first trellis coded data.
  • first service data and the second service data contain different performance indicators
  • using diversified service data for analysis can provide operator customers with accurate and high-quality network planning and network optimization service experience services.
  • the first electronic device uses a first grid coding method to grid code the determined first user location data to obtain the first network data.
  • lattice-encoded data including:
  • the first electronic device determines the central latitude of the latitude zone corresponding to the first user's location data in the geographical space, where the latitude zone is obtained by dividing the geographical space based on the set zone division method; the first electronic device is based on The central latitude determines the first banding coefficient corresponding to the first user's location data; the first electronic device calculates the first adjustment position corresponding to the first user's location data based on the determined first user's location data and the first banding coefficient.
  • the first electronic device quantifies the longitude and latitude corresponding to the first adjustment position data, respectively, to obtain the first longitude code and the first latitude code corresponding to the first adjustment position data; the first electronic device encodes the first longitude It is combined with the first latitude code according to the Morton coding method to obtain the first grid coded data corresponding to the first user location data.
  • the grid coded data encoded by this coding method can achieve approximately equidistant grid division because the encoded user location data is adjusted, for example, the longitude in the user location data is corrected using the banding coefficient.
  • the second grid coded data is coded by the second electronic device in the following manner:
  • the second electronic device receives the encoding method information from the first electronic device, and determines to use the first trellis encoding method to perform trellis encoding based on the encoding mode information; the second electronic device collects the second service data, and determines the second service data Corresponding second user location data; the second electronic device adopts the first grid coding method to grid code the determined second user location data to obtain second grid coded data.
  • first service data and the second service data contain different performance indicators
  • using diversified service data for analysis can provide operator customers with accurate and high-quality network planning and network optimization service experience services.
  • the second electronic device adopts the first grid coding method to grid code the determined second user location data to obtain the second network data.
  • lattice-encoded data including:
  • the second electronic device determines the central latitude of the latitude zone corresponding to the second user's location data in the geographical space, where the latitude zone is obtained by dividing the geographical space based on the set zone division method; the second electronic device is based on The central latitude determines the second banding coefficient corresponding to the second user's location data; the second electronic device calculates the second adjustment position corresponding to the second user's location data based on the determined second user's location data and the second banding coefficient.
  • the second electronic device quantifies the longitude and latitude corresponding to the second adjustment position data, respectively, to obtain the second longitude code and the second latitude code corresponding to the second adjustment position data; the second electronic device quantifies the second longitude code and the second latitude code corresponding to the second adjustment position data.
  • the two-dimensional codes are combined according to the Morton coding method to obtain the second grid coded data corresponding to the second user's location data.
  • the grid coded data encoded by this coding method can achieve approximately equidistant grid division because the encoded user location data is adjusted, for example, the longitude in the user location data is corrected using the banding coefficient.
  • the first service data and the second service data are analyzed based on the first trellis coded data and/or the second trellis coded data, include:
  • the first service data and the second service data are analyzed based on the first trellis coded data, or the first service data and the second service data are analyzed based on the second trellis coded data.
  • Collaborative analysis is performed on the first service data and the second service data according to the first trellis coded data or the second trellis coded data. Since the first service data and the second service data contain different performance indicators, using diversified service data for analysis can provide operator customers with accurate and high-quality network planning and network optimization service experience services.
  • the first service data includes Key Quality Index (KQI) data
  • the second service data includes traffic statistics data, call history reports, One or more types of measurement reports
  • the first business data includes one or more types of traffic statistics data, call history reports, and measurement reports
  • the second business data includes Key Quality Index (KQI) data .
  • network characteristic indicators such as user traffic and signal coverage quality in geographical space can be more comprehensively analyzed, so that operators can conduct targeted analysis in areas with poor quality.
  • the first electronic device is an operator device, and the second electronic device is a user terminal device; or the first electronic device is a user terminal device, and the second electronic device is a user terminal device.
  • the electronic equipment is operator equipment.
  • a second aspect of the present application provides a computer-readable storage medium. Instructions are stored on the computer-readable storage medium. When the instructions are executed on an electronic device, the electronic device causes the electronic device to execute the above-mentioned first aspect and any one of the first aspects. Possible implementations of any of the network data analysis methods.
  • a third aspect of the present application provides a computer program product.
  • the computer program product includes instructions. When executed by one or more processors, the instructions are used to implement the above-mentioned first aspect and any possible implementation of the first aspect. Any of the network data analysis methods.
  • a fourth aspect of the present application provides an electronic device, including:
  • One or more processors configured to execute instructions stored in the memory.
  • the electronic device When the instructions are executed by the one or more processors, the electronic device performs the above-mentioned first aspect and any possible implementation of the first aspect. Any network data analysis method.
  • Figure 1 shows a schematic diagram of a network optimization application scenario provided by an embodiment of the present application
  • Figure 2 shows a schematic diagram of a network data optimization solution provided by an embodiment of the present application
  • Figure 3 shows a schematic diagram of the software logical architecture of a network optimization system provided by an embodiment of the present application
  • Figure 4 shows an interactive flow chart of a network data analysis method provided by an embodiment of the present application
  • Figure 5 shows a schematic flow chart of a trellis encoding method provided by an embodiment of the present application
  • Figure 6 shows a simplified schematic diagram of latitude zoning provided by the embodiment of the present application.
  • Figure 7A shows a schematic diagram of a coding method of grid coding obtained by longitude coding and latitude coding provided by an embodiment of the present application
  • Figure 7B shows detailed information of the trellis encoding shown in Figure 7A provided by an embodiment of the present application
  • Figure 8 shows an interactive flow chart of another network data analysis method provided by an embodiment of the present application.
  • Figure 9 shows a schematic diagram of the hardware structure of a terminal device provided by an embodiment of the present application.
  • Illustrative embodiments of the present application include, but are not limited to, a network data analysis method, readable media, and electronic devices.
  • GSM global system of mobile communication
  • CDMA code division multiple access
  • WCDMA broadband code division multiple access
  • GPRS general packet radio service
  • LTE long term evolution
  • FDD frequency division duplex
  • TDD Time Division Duplexing
  • UMTS Universal Mobile Telecommunications System
  • WiMAX Worldwide Interoperability for Microwave Access
  • Figure 1 shows a schematic diagram of a network optimization application scenario to which the technical solution of the present application is applicable, according to some embodiments of the present application.
  • the application scenario includes the communication system 10 to which the embodiment of the present application is applicable, as well as the network planning and optimization platform 20 and the cloud platform 30 that are independent of the communication system.
  • Communication system 10 may include at least one network device 110.
  • the network device 110 may be a device that communicates with terminal devices, such as a base station or a base station controller. Each network device 110 can provide communication coverage for a specific geographical area and can communicate with terminal devices located within the coverage area (cell).
  • the network device 110 can be a base station (BTS) in a GSM system or a code division multiple access (CDMA) system, or a base station (Node B, NB) in a WCDMA system, or it can It is an evolutionary base station (eNB or eNode B) in the LTE system, or a wireless controller in the cloud radio access network (CRAN), or the network device can be a relay station, access Points, vehicle-mounted equipment, wearable devices, network-side equipment in future 5G networks or network equipment in future evolved public land mobile networks (public land mobile network, PLMN), etc.
  • BTS base station
  • CDMA code division multiple access
  • Node B, NB base station
  • CRAN cloud radio access network
  • the network device can be a relay station, access Points, vehicle-mounted equipment, wearable devices, network-side equipment in future 5G networks or network equipment in future evolved public land mobile networks (public land mobile network, PLMN), etc.
  • PLMN public land mobile network
  • the communication system 10 also includes a plurality of terminal devices 100 located within the coverage of the network device 110.
  • the terminal device 100 may be mobile or stationary.
  • the terminal device 100 may refer to an access terminal, user equipment (UE), user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device.
  • the access terminal can be a mobile phone, cellular phone, cordless phone, session initiation protocol (SIP) phone, wireless local loop (WLL) station, personal digital assistant (PDA), Handheld devices with wireless communication capabilities, computing devices or other processing devices connected to wireless modems, vehicle-mounted devices, wearable devices, terminal devices in future 5G networks or future evolved public land mobile networks (PLMN) terminal equipment, etc.
  • SIP session initiation protocol
  • WLL wireless local loop
  • PDA personal digital assistant
  • the network planning and network optimization platform 20 may be a software system installed on the operator's server cluster.
  • the network planning and optimization platform 20 can be used to collect wireless side business data such as traffic statistics data, measurement report (Measurement Report, MR), call history report (Call History Report, CHR).
  • wireless side business data such as traffic statistics data, measurement report (Measurement Report, MR), call history report (Call History Report, CHR).
  • the above-mentioned wireless side service data may include end-to-end round-trip time (E2E_RTT), the number of activated users at the cell level, and the level intensity of the main serving cell and neighboring cells/ Level interference, channel quality, cell transmit power, time and other indicators.
  • E2E_RTT end-to-end round-trip time
  • the network planning and optimization platform 20 can also use relevant algorithms, such as the triangulation positioning algorithm, to determine the number of historical call records based on the collected wireless side business data and the base station's work parameter data (that is, the operator's base station location information).
  • the original location information of each terminal device user (expressed in latitude and longitude).
  • the grid coding method configured by the operator to grid code the original location information of multiple terminal equipment users to obtain the wireless side grid coding results corresponding to the original location information of each terminal equipment user, and then convert the aforementioned wireless side services
  • the data and wireless side grid encoding results are reported to the cloud platform 30. It should be understood that when the user uses the terminal device to make a call, the user and the terminal are in the same location. Therefore, the location information of the user is the same as the location information of the terminal used by the user. It should be understood that the network planning and optimization platform 20 can also collect other data that can reflect the basic attributes of the communication system 10, which is not limited in this application.
  • the terminal device 100 can collect business data on the terminal side through a software development kit (Software Development Kit, SDK), such as collecting key quality indicator (Key Quality Index, KQI) data of users using the terminal 100 to make calls or surf the Internet, for indicating Some business experience indicators of users making phone calls, surfing the Internet, etc.
  • KQI mainly includes service experience indicators such as network signals, cell designations, and Internet access speeds when users access the Internet daily.
  • the terminal device 100 can locate the original location information (also represented by longitude and latitude) of the terminal device user through the Global Positioning System (GPS) system.
  • GPS Global Positioning System
  • grid coding is performed on the original location information of the terminal equipment user located by the terminal equipment 100 through GPS to obtain the terminal side grid coding result, and then the terminal side business data and the terminal side The grid coding results are reported to the cloud platform 30. It should be understood that the terminal device 100 can also collect other data that can reflect some service experience indicators of the user, which is not limited in this application.
  • the cloud platform 30 can communicate with the terminal device 100 and the network planning and network optimization platform 20, obtain the terminal-side business data and terminal-side grid coding results reported by the terminal device 100, and obtain the wireless-side business data reported by the network planning and network optimization platform 20. and wireless side mesh coding results. Then a collaborative analysis is performed based on the acquired terminal side business data and terminal side grid coding results, wireless side business data and wireless side grid coding results.
  • the wireless side grid coding result obtained by the cloud platform 30 from the network planning and network optimization platform 20 is coded based on the grid coding method configured by the operator, and the terminal side grid coding result obtained by the cloud platform 30 from the terminal device 100 The result is encoded based on the grid coding method configured by the terminal equipment manufacturer.
  • the grid coding method configured by the operator and the grid coding method configured by the terminal equipment manufacturer are different, for the original location information of the same terminal equipment user, The grid coding result generated by the network planning and network optimization platform 20 is different from the grid coding result generated by the terminal device 100 .
  • the different grid coding results cause the terminal side service data and the wireless side service data to be misaligned, overlapped, covered, etc. in geographical space, causing the analysis results of the network characteristic indicators of the communication system 10 to deviate from the actual situation. Based on When performing network planning or network optimization based on this analysis result, the network planning solution or network optimization is not effective.
  • the cloud platform 30 obtains the wireless side service data and wireless side grid coding results reported by the network planning and network optimization platform 20, as well as the terminal side service data and terminal side service data reported by the terminal device 100. After the grid coding results, data adaptation is performed on the wireless side grid coding results and the terminal side grid coding results, so that the original location information of the same user is aligned in geographical space and eliminates grid dislocation, overlap, and coverage. question.
  • the wireless side service data and the terminal side service data each contain specific service indicators, that is to say, the wireless side service data and the terminal side service data each contain specific fields.
  • the wireless side service data contains the main serving cell and The content of fields such as level strength/level interference, channel quality, and cell transmit power of neighboring cells
  • the terminal side business data includes the content of fields such as network signals and Internet access rates when users access the Internet daily. Therefore, the cloud platform 30 also Whether the data is sent by the network planning and network optimization platform 20 or by the terminal device 100 can be determined based on the received data content.
  • the wireless side service data and wireless side grid coding results are usually reported to the cloud platform 30 by the network planning and network optimization platform 20 as part of the data in the packets reported by the network planning and network optimization platform 20 at the same time, and the terminal side business
  • the data and the terminal-side trellis encoding result are usually reported simultaneously to the cloud platform 30 by the terminal device 100 as part of the message reported by the terminal device 100 . Therefore, the network planning and network optimization platform 20 and the terminal device 100 can respectively add the identification information of the network planning and network optimization platform 20 or the terminal device 100 in the message reported to the cloud platform 30, and the cloud platform 30 can add the identification information of the network planning and network optimization platform 20 or the terminal device 100 according to the received message.
  • the identification information is used to determine whether the received message is sent by the network planning and network optimization platform 20 or by the terminal device 100 .
  • the cloud platform 30 obtains the wireless side service data and wireless side grid coding results reported by the network planning and network optimization platform 20, as well as the terminal side service data and terminal side service data reported by the terminal device 100.
  • the side grid coding results it is also necessary to obtain the grid coding method configured by the operator from the network planning and network optimization platform 20, and to obtain the grid coding method configured by the terminal equipment manufacturer from the terminal device 100. Normalize the wireless side service data and terminal side service data, and extract key network characteristic field information (latitude and longitude, cell information, overlapping coverage, etc.). And perform data adaptation on the wireless side grid coding result and the terminal side grid coding result.
  • the cloud platform 30 reversely decodes the wireless side grid coding result based on the grid coding method configured by the operator, and calculates the original location information of the user corresponding to the wireless side; and calculates the terminal side grid coding method based on the grid coding method configured by the terminal equipment manufacturer.
  • the grid encoding results are reversely solved to calculate the original location information of multiple users corresponding to the terminal side.
  • the grid coding scheme preset by the cloud platform 30 is then used to grid code again the calculated original location information of multiple users corresponding to the wireless side and the calculated original location information of the users corresponding to the terminal side, thereby
  • the grid coding result generated by the cloud platform 30 is used as a unified keyword (key) for the wireless side service data and the terminal side service data, and the wireless side service data and the terminal side service data are collaboratively analyzed.
  • the cloud platform 30 needs to perform additional data processing on the wireless side grid coding results obtained from the network planning and network optimization platform 20 and the terminal side grid coding results obtained from the terminal device 100 Adaptation, when the amount of data is large, will occupy more computing resources of the cloud platform 30, which may result in lower processing efficiency of the cloud platform 30.
  • the present application provides a network data analysis method, by making the terminal equipment 100 and the network planning and optimization platform 20 use the same grid coding method to perform grid coding, for example, the terminal equipment 100 and the network planning and optimization platform 20
  • the grid coding method set by the terminal equipment 100 manufacturer is used for grid coding.
  • the terminal equipment 100 and the network planning and network optimization platform 20 are both grid coded using the grid coding method set by the operator. There is no need to perform grid coding in the cloud. Data adaptation is performed in the platform 30, eliminating the cost of adapting multi-source data.
  • the cloud platform 30 can obtain terminal-side data from the terminal device 100, where the terminal The side data includes terminal side service data, and the terminal side trellis encoding result obtained by encoding the terminal device 100 using the trellis encoding method set by the manufacturer of the terminal device 100 . Then the cloud platform 30 sends coding mode information indicating that the terminal device 100 adopts the trellis coding mode set by the manufacturer of the terminal device 100 to perform trellis encoding to the network planning and network optimization platform 20.
  • the network planning and network optimization platform 20 can determine based on the encoding mode information.
  • the grid coding method set by the terminal device 100 manufacturer is used to perform grid coding, and the wireless side grid coding result is obtained.
  • the cloud platform 30 obtains the wireless side data including the wireless side grid coding result from the network planning and network optimization platform 20 .
  • the cloud platform 30 can obtain the wireless side data from the network planning and network optimization platform 20, where the wireless side The data includes the wireless side grid coding result obtained by the network planning and network optimization platform 20 using the grid coding method set by the operator. Then the cloud platform 30 sends encoding method information to the terminal device 100 indicating that the network planning and network optimization platform 20 uses the mesh encoding method set by the operator to perform trellis encoding. Then the terminal device 100 can determine the trellis encoding method set by the operator based on the encoding method information.
  • the cloud platform 30 obtains terminal-side data including the terminal-side trellis encoding result from the terminal device 100 .
  • the wireless side data also includes wireless side service data.
  • both the terminal side service data and the wireless side service data contain the user's encoding method information, such as the user's identity information, SIM card information, etc. Therefore, after the cloud platform 30 obtains the wireless side data including the wireless side grid coding results from the network planning and network optimization platform 20, and obtains the terminal side data including the terminal side grid coding results from the terminal device 100, it can be based on the terminal The user's encoding method information contained in the side service data and the wireless side service data determines the corresponding relationship between the terminal side service data and the wireless side service data. Then, based on the terminal side grid coding result and/or the wireless side grid coding result, the wireless side data and the terminal side data are collaboratively analyzed.
  • the terminal-side grid coding result obtained by the cloud platform 30 from the terminal device 100 and the wireless-side grid coding result obtained from the network planning and network optimization platform 20 are obtained by the terminal device 100 and the network planning network respectively.
  • the excellent platform 20 is encoded using the same grid encoding method. Therefore, for the original location information of the same user, the grid coding results obtained by the network planning and network optimization platform 20 and the terminal device 100 are the same. This can avoid problems such as grid misalignment, overlap, and coverage.
  • This enables the cloud platform 30 to use the grid coding result as a key to perform collaborative analysis on the wireless side business data and the terminal side business data, and the analysis results are more accurate. Then, when using the analysis results for network planning or network optimization, the network planning solution or network optimization solution is more reasonable. And there is no need to perform data adaptation in the cloud platform 30, eliminating the cost of adapting multi-source data.
  • the network optimization system includes a network planning and optimization platform 20, a terminal device 100, and a cloud platform 30.
  • the network planning and optimization platform 20 includes a wireless data collection module 201, a wireless positioning module 202, a wireless grid encoding module 203, and a wireless data reporting module 204.
  • the wireless data collection module 201 is used to collect wireless side business data, such as traffic statistics data, measurement report (Measurement Report, MR), call history report (Call History Report, CHR) and other wireless side business data.
  • the wireless positioning module 202 is used to use the wireless side service data collected by the wireless data collection module 201, use the base station's work parameter data (that is, the operator's base station location information), and use relevant algorithms, such as using a triangulation positioning algorithm, to determine the history.
  • the wireless grid coding module 203 is used to grid code the original location information of multiple terminal device users determined by the wireless positioning module 202 using the grid coding method configured by the terminal device manufacturer obtained from the cloud platform 30, or the wireless network
  • the grid encoding module 203 is configured to grid code the original location information of multiple terminal device users determined by the wireless positioning module 202 according to the grid coding method set by the operator.
  • the wireless data reporting module 204 is used to obtain the grid coding method reported by the terminal device 100 to the cloud platform 30 from the cloud platform 30, and report the wireless side grid coding results and wireless side business data obtained by the wireless grid coding module 203 to the cloud. Platform 30.
  • the wireless data reporting module 204 is configured to report to the cloud platform 30 the grid coding method set by the operator, as well as the wireless side grid coding result and wireless side service data obtained by the wireless grid coding module 203 .
  • the terminal device 100 includes a terminal data collection module 120, a terminal positioning module 140, a terminal grid encoding module 130, and a terminal data reporting module 150.
  • the terminal data collection module 120 is used to collect terminal-side business data, such as Key Quality Index (KQI) data.
  • KQI Key Quality Index
  • the terminal positioning module 140 is used to locate (for example, positioning through GPS) the original location information (also represented by longitude and latitude) of the terminal device user.
  • the terminal grid coding module 130 is used to grid code the original location information of the terminal device user obtained by the terminal positioning module 140 by using a grid coding method configured by the terminal equipment manufacturer.
  • the terminal grid encoding module 130 is configured to perform grid encoding on the original location information of the terminal device user located by the terminal positioning module 140, using a grid encoding method set by the operator.
  • the terminal data reporting module 150 is used to report the aforementioned collected terminal-side business data and terminal-side grid coding results to the cloud platform 30 .
  • the terminal data reporting module 150 may also be used to report the grid encoding method configured by the terminal device manufacturer to the cloud platform 30 .
  • the cloud platform 30 includes a data analysis module 301 and a display module 302.
  • the data analysis module 301 is used to analyze the wireless side service data and wireless side grid coding results from the network planning and network optimization platform 20, as well as the terminal side business data and terminal side grid coding results obtained from the terminal device 100, and use the grid coding results to Perform collaborative analysis for keywords.
  • the display module 302 is used to display the results of collaborative analysis.
  • the cloud platform 30 analyzes through the data analysis module 301 that the signals of the cellular networks corresponding to some grids are poor, or analyzes that some grids are not covered by the network device 110 and cannot receive the cellular network, the operation and maintenance personnel can display the Based on the analysis results displayed by the module 302, the network device 110 is added to the grid with poor signal quality, or the setting parameters of the network device 110 are adjusted. For example, when the network device 110 is a base station, the base station can be added, or the transmission direction of the base station antenna can be adjusted.
  • the network planning and network optimization platform 20 can adopt the same trellis encoding method as the terminal device 100, the original location information of the terminal device user can be trellis encoded. Therefore, the network planning and network optimization platform 20 and the terminal device 100 have the same encoding results for the original location information of the same user, thereby avoiding problems such as grid misalignment, overlap, and coverage.
  • This enables the cloud platform 30 to use the grid coding result as a key to perform collaborative analysis on the wireless side business data and the terminal side business data, and the analysis results are more accurate. Then, when using the analysis results for network planning or network optimization, the network planning solution or network optimization solution is more reasonable. And there is no need to perform data adaptation in the cloud platform 30, eliminating the cost of adapting multi-source data.
  • Figure 4 is an interactive flow chart of a network data analysis method provided by some embodiments of the present application. Specifically, the network data analysis method shown in Figure 4 includes the following steps:
  • the terminal device 100 collects terminal-side service data.
  • the terminal device 100 can collect key quality index (KQI) data such as call quality and Internet access rate through the terminal data collection module 120.
  • KQI key quality index
  • the terminal device 100 locates and obtains the original location information of the terminal device user.
  • the terminal device 100 uses the terminal positioning module 140 to locate (for example, positioning through GPS) the user's original location information (also represented by longitude and latitude) when using the terminal device 100 to make calls or surf the Internet.
  • the terminal positioning module 140 uses the terminal positioning module 140 to locate (for example, positioning through GPS) the user's original location information (also represented by longitude and latitude) when using the terminal device 100 to make calls or surf the Internet.
  • the terminal device 100 uses the trellis encoding method configured by the terminal device manufacturer to perform trellis encoding on the positioned original location information of the terminal device user.
  • the terminal device 100 uses the terminal grid encoding module 130 to locate the terminal device user's original location information obtained by the terminal positioning module 140, and uses the grid encoding method configured by the terminal device manufacturer to perform grid encoding, thereby obtaining the corresponding user's original location information.
  • Grid encoding result of original position information does not limit the grid coding configured by the terminal equipment manufacturer.
  • a lattice coding method used in the technical solution of this application will be introduced in detail below in conjunction with Figure 5, and will not be introduced here.
  • the cloud platform 30 requests the terminal device 100 to obtain terminal-side service data, terminal-side trellis encoding results, and trellis encoding method information.
  • the terminal device 100 returns terminal-side business data, terminal-side grid encoding results, and grid encoding method information to the cloud platform 30
  • the terminal device 100 reports the aforementioned collected terminal-side business data, terminal-side trellis encoding results, and trellis encoding method information to the cloud platform 30 through the terminal data reporting module 150 .
  • the cloud platform 30 saves the received terminal-side business data, terminal-side trellis encoding results, and trellis encoding method information.
  • the network planning and network optimization platform 20 requests the cloud platform 30 to obtain the grid encoding method information reported by the terminal device 100.
  • the cloud platform 30 returns the grid encoding method information reported by the terminal device 100 to the network planning and network optimization platform 20.
  • the network planning and optimization platform 20 collects wireless side service data.
  • the user's original location information corresponding to the wireless side service data collected by the network planning and network optimization platform 20 may be the same as the user's original location information corresponding to the terminal side service data collected by the terminal device 100 in S401.
  • the wireless side business data collected by the network planning and network optimization platform 20 can also correspond to the original location information of more users.
  • the user's original location information corresponding to the terminal-side service data collected by the terminal device 100 is P1
  • the user's original location information corresponding to the wireless-side service data collected by the network planning and network optimization platform 20 includes not only P1, but also other users.
  • the network planning and network optimization platform 20 collects traffic statistics data, measurement reports (Measurement Report, MR), and call history through the wireless data collection module 201. Report (Call History Report, CHR) and other wireless side business data. That is to say, S409 is executed after S408.
  • the network planning and optimization platform 20 may also collect wireless side service data before requesting the cloud platform 30 to obtain the grid encoding method information reported by the terminal device 100 .
  • S409 can also be executed before S407. This application does not limit the time node at which the network planning and network optimization platform 20 collects wireless side service data.
  • the network planning and optimization platform 20 determines the original location information of the terminal device user based on the collected wireless side service data.
  • the network planning and network optimization platform 20 uses the wireless side service data collected by the wireless data collection module 201 through the wireless positioning module 202, uses the base station's industrial parameter data (that is, the operator's base station location information), and uses related algorithms, such as using The triangulation positioning algorithm determines the original location information (expressed in longitude and latitude) of multiple terminal device users in historical call records.
  • the network planning and network optimization platform 20 uses a coding method corresponding to the grid coding method information obtained above to perform grid coding on the determined original location information of the terminal device user.
  • the grid coding method information obtained by the network planning and network optimization platform 20 from the cloud platform 30 is the grid coding method configured by the terminal equipment manufacturer, then the network planning and network optimization platform 20 can use the obtained grid coding module 203 to use the grid coding method.
  • the grid coding method configured by the terminal device manufacturer performs grid coding on the original location information of multiple terminal device users determined by the wireless positioning module 202 to obtain a grid coding result corresponding to the original location information of the terminal device users.
  • the grid coding method information obtained by the network planning and network optimization platform 20 from the cloud platform 30 is the manufacturer identification of the terminal equipment, and the network planning and network optimization platform 20 determines the grid coding method configured by the terminal equipment manufacturer based on the manufacturer identification. , and then through the wireless grid coding module 203, the grid coding method configured by the terminal equipment manufacturer is used to grid code the original location information of multiple terminal device users determined by the wireless positioning module 202, and obtain the original location information of the terminal device user. The grid encoding result corresponding to the position information.
  • the network planning and network optimization platform 20 reports wireless side service data and wireless side grid coding results to the cloud platform 30.
  • the wireless side business data reported by the network planning and network optimization platform 20 to the cloud platform 30 may be the wireless side business data collected by the network planning and network optimization platform 20 in the above S409, or may be the wireless side business data collected by the network planning and network optimization platform 20.
  • Part of the wireless side service data that has the same original location information as the terminal side service data collected by the terminal device 100 is screened out from the data. This application does not limit this.
  • the network planning and network optimization platform 20 reports the wireless side grid coding result and wireless side service data encoded by the wireless grid coding module 203 to the cloud platform 30 through the wireless data reporting module 204 .
  • the cloud platform 30 uses the grid coding results as keywords to perform collaborative analysis on the wireless side service data and the terminal side service data.
  • the cloud platform 30 uses the data analysis module 301 to analyze the wireless side business data and wireless side grid coding results from the network planning and network optimization platform 20, as well as the terminal side business data and terminal side grid coding results obtained from the terminal device 100, to
  • the grid coding results are keywords for collaborative analysis.
  • the cloud platform 30 uses the data analysis module 301 to combine the wireless side grid coding result and the wireless side grid coding result.
  • Side business data, terminal side grid coding results, and terminal side business data are stored in the database.
  • Key fields such as time, level and interference of wireless cells, serving cells and neighboring cells are extracted from the wireless side business data, and network signals, cell labels, Internet access speeds, etc. when users access the Internet daily are extracted from the terminal side business data. Key fields. Then these extracted key fields, wireless side grid coding results, and terminal side grid coding results are stored in the database, with the grid coding results as index fields.
  • the grid coding result is used as an index field and has a one-to-one mapping relationship with the geographical space, so that the cloud platform 30 uses the grid coding result as a keyword (key) to map the wireless side service data and the terminal side.
  • the analysis results are more accurate.
  • the network planning solution or network optimization solution is more reasonable. And there is no need to perform data adaptation in the cloud platform 30, eliminating the cost of adapting multi-source data.
  • the cloud platform 30 analyzes through the data analysis module 301 that the signals of the cellular networks corresponding to some grids are poor, or analyzes that some grids are not covered by the network device 110 and cannot receive the cellular network, the operation and maintenance personnel can display the Based on the analysis results displayed by the module 302, the network device 110 is added to the grid with poor signal quality, or the setting parameters of the network device 110 are adjusted. For example, when the network device 110 is a base station, an additional base station may be added, or the transmission direction of the base station antenna may be adjusted to improve the poor quality of the grid signal.
  • FIG. 5 is a schematic flowchart of a trellis encoding method provided by some embodiments of the present application.
  • the execution subject in each step shown in FIG. 5 may be the above-mentioned terminal device 100.
  • a trellis coding method provided by this application includes the following steps:
  • S501 Determine the geographical location information to be encoded (original longitude and latitude).
  • the terminal device 100 can locate the geographical location information of the terminal device 100 through GPS. It should be understood that generally the terminal device 100 can save the geographical location information of the terminal device 100 during each call or Internet access, so that when grid encoding is required, for example, when the terminal device 100 receives a grid encoding request sent by the cloud platform 30, Then grid coding is performed on the geographical location information saved by the terminal device 100 .
  • the terminal device 100 can also directly perform grid coding on the geographical location information obtained by positioning each time the terminal device 100 is located, and save the terminal-side grid coding result, thereby facilitating the cloud platform 30
  • the terminal side trellis encoding result is obtained from the terminal device 100.
  • the geographical location information to be encoded can be represented by the original longitude and latitude under the geographical coordinate system.
  • the geographical location information to be encoded is C(lon, lat) shown in Figure 6.
  • S502 Determine the central latitude of the latitude band corresponding to the geographical location information to be encoded in the geographical location space, where the latitude band is obtained by dividing the geographical location space of the earth based on the set band division method.
  • the terminal device 100 searches for the center latitude of the nearest dimension zone based on the maximum/minimum latitude of the administrative area where the geographical location information to be encoded is located, and based on the average value of the maximum/minimum latitude.
  • the size of n can be based on actual needs. setting, this application does not limit this.
  • the terminal device 100 determines that the latitude band corresponding to the geographical location C (lon, lat) to be encoded is Z. Thus, it is further determined that the central latitude of the latitude zone Z is lat0.
  • S503 Determine the banding coefficient corresponding to the geographical location information to be encoded based on the aforementioned central latitude.
  • the terminal device 100 calculates the cosine value of the aforementioned central latitude: cos (latitude), and uses the cosine value as the banding coefficient k corresponding to the geographical location information to be encoded.
  • the zoning coefficient can be used to adjust the latitude zoning of equidistant divisions, thereby ensuring the approximate equidistance of the grid to the greatest extent.
  • S504 Based on the geographical location information to be encoded (original longitude and latitude) and the determined zoning coefficient k, calculate the adjusted location information (adjusted longitude and latitude) corresponding to the geographical location information to be encoded according to the set calculation method.
  • the terminal device 100 calculates the adjusted location information (i, j) corresponding to the geographical location information to be encoded according to the following formula (1):
  • ⁇ x is the longitude span of each grid obtained after gridding the geographical location space
  • ⁇ y is the latitude span of each grid obtained after gridding the geographical location space
  • M is the number of subdivisions in the latitude direction/longitude direction during the process of gridding the geographical location space
  • lon is the longitude corresponding to the geographical location information to be encoded
  • lat is the latitude corresponding to the geographical location information to be encoded.
  • the method of meshing the geographical location space can be: setting the size G of the final desired grid after segmentation.
  • each mesh obtained by segmentation is a square.
  • Use the quartering method to iteratively divide the geographical location space of the entire earth. For example, first divide the entire geographical location space into four sub-blocks, which are coded as: 00xxxx, 01xxxx, 10xxxx, 11xxxx; then divide the obtained The four sub-blocks are iteratively divided, that is, each of the aforementioned four sub-blocks is divided into four sub-blocks respectively.
  • the four sub-blocks obtained by re-dividing the sub-block coded as 00xxxx are coded as 0000xx respectively. , 0001xx, 0010xx, 0011xx; repeat this process to subdivide the new sub-blocks until the obtained grid size reaches the expected value G and stop the subdivision.
  • the latitude span ⁇ y of each grid above can be calculated through the following formula (2):
  • R is the circumference of the earth
  • G is the grid size (the side length of the grid).
  • k is the banding coefficient corresponding to the geographical location information to be encoded.
  • M can be determined in the following way: first calculate the number of subdivisions p in the east-west direction and the number of subdivisions q in the north-south direction, and then select a larger value from p and q as M. Among them, the number of subdivisions p in the east-west direction and the number of subdivisions q in the north-south direction are calculated respectively through the following formulas (4) and formula (5):
  • ceil function is to round up.
  • S505 Quantify the longitude and latitude of the adjusted position information respectively to obtain the longitude code and latitude code corresponding to the adjusted position information.
  • the terminal device 100 quantizes the adjusted position information obtained through S504 into an integer.
  • the value of the integer is related to the expected grid size G. For example, if the expected grid size G is 1.25 meters, then the first 7 bits (high bits) of the longitude code and latitude code corresponding to the quantized adjusted position information are all 0. Assume that the terminal device 100 quantizes the adjusted position information obtained through S504 into an integer of 32, then the longitude code and the latitude code corresponding to the quantized adjusted position information have 25 significant bits each.
  • S506 Combine the longitude code and the latitude code according to the Morton coding method to obtain the grid code corresponding to the geographical location information to be coded. That is, the longitude code and the latitude code are overlapped and combined according to bits to obtain the grid code corresponding to the geographical location information to be encoded.
  • the grid code corresponding to the geographical location information to be encoded obtained by combining the longitude code and the latitude code according to the Morton coding method is the 64-bit grid code shown in Figure 7A.
  • Figure 7B shows detailed information of the trellis encoding shown in Figure 7A, including a space number field, a band number field, a reserved field, and a version number field.
  • the space number field contains 50 bits; the band number field contains 9 bits; the reserved field contains 2 bits to facilitate the expansion of trellis coding; the version number field contains 3 bits to facilitate the subsequent expansion, enhancement and version evolution of trellis coding. backwards and forwards compatibility.
  • FIG 8 shows another interaction diagram between the network planning and network optimization platform 20, the cloud platform 30, and the terminal device 100.
  • the terminal device 100 reports to the cloud platform 30 that the terminal device 100 adopts the grid encoding method set by the terminal device manufacturer.
  • the terminal device 100 and the network planning network YouPlatform 20 all uses the grid coding method set by the terminal equipment manufacturer for grid coding.
  • the network planning and optimization platform 20 reports to the cloud platform 30.
  • the network planning and optimization platform 20 adopts the grid encoding method set by the operator.
  • the terminal device 100 and the network planning and optimization platform 20 The grid coding method set by the operator is used for grid coding.
  • the interaction diagram shown in Figure 8 includes the following steps:
  • the network planning and optimization platform 20 collects wireless side business data.
  • the network planning and network optimization platform 20 collects wireless side business data through the wireless data collection module 201, such as collecting traffic statistics data, measurement report (Measurement Report, MR), call history report (Call History Report, CHR) and other wireless side business data. .
  • the network planning and optimization platform 20 determines the original location information of the terminal device user based on the collected wireless side service data. For example, the network planning and network optimization platform 20 uses the wireless side service data collected by the wireless data collection module 201 through the wireless positioning module 202, uses the base station's industrial parameter data (that is, the operator's base station location information), and uses related algorithms, such as using The triangulation positioning algorithm determines the original location information (expressed in longitude and latitude) of multiple terminal device users in historical call records.
  • the network planning and network optimization platform 20 uses the grid coding method set by the operator to grid code the determined original location information of the terminal device user.
  • the network planning and network optimization platform 20 uses the grid coding method set by the operator as shown in Figure 5 to grid code the determined original location information of the terminal device user to obtain a wireless side grid coding result.
  • the cloud platform 30 requests the network planning and network optimization platform 20 to obtain wireless side service data, wireless side mesh encoding results, and mesh encoding method information.
  • the trellis encoding method information can be the trellis encoding method configured by the operator, and can also be the operator identification.
  • the network planning and network optimization platform 20 returns wireless side service data, wireless side mesh encoding results, and mesh encoding method information to the cloud platform 30.
  • the cloud platform 30 saves the received wireless side service data, wireless side mesh encoding results, and mesh encoding method information.
  • the terminal device 100 requests the cloud platform 30 to obtain the wireless side grid encoding method information reported by the network planning and network optimization platform 20.
  • the cloud platform 30 returns the wireless side grid encoding method information reported by the network planning and network optimization platform 20 to the terminal device 100.
  • the terminal device 100 obtains the grid coding method information reported by the network planning and network optimization platform 20 to the cloud platform 30 from the cloud platform 30 through the terminal data reporting module 150 .
  • the terminal device 100 collects terminal-side service data. For example, when the terminal device 100 is making calls or surfing the Internet, the terminal device 100 can collect key quality index (KQI) data such as call quality and Internet access rate through the terminal data collection module 120. In other words, S809 is executed after S808.
  • KQI key quality index
  • the terminal device 100 can also collect terminal-side service data before requesting the cloud platform 30 to obtain the grid encoding method information reported by the network planning and network optimization platform 20 .
  • S809 can also be executed before S807. This application does not limit the time node at which the terminal device 100 collects terminal-side service data.
  • the terminal device 100 locates the original location information of the terminal device user.
  • the terminal device 100 uses the terminal positioning module 140 to locate (for example, positioning through GPS) the user's original location information (also represented by longitude and latitude) when using the terminal device 100 to make calls or surf the Internet.
  • the terminal device 100 performs trellis coding on the positioned original location information of the terminal device user using the encoding method corresponding to the received trellis encoding method information.
  • the terminal device 100 can use the obtained grid coding method configured by the operator through the terminal grid coding module 130 .
  • grid coding is performed on the original location information of multiple terminal device users determined by the terminal positioning module 140, and a grid coding result corresponding to the original location information of the terminal device users is obtained.
  • the trellis encoding method information obtained by the terminal device 100 from the cloud platform 30 is an operator identification. Then the terminal device 100 determines the trellis encoding method configured by the operator based on the operator identification, and then uses the terminal mesh encoding module to determine the trellis encoding method configured by the operator. 130. Use the grid coding method configured by the operator to perform grid coding on the original location information of multiple terminal device users determined by the terminal positioning module 140, and obtain a grid coding result corresponding to the original location information of the terminal device users.
  • the terminal device 100 reports the terminal-side service data and the terminal-side grid encoding result to the cloud platform 30.
  • S813 The cloud platform 30 uses the grid coding results as keywords to perform collaborative analysis on the wireless side service data and the terminal side service data. For details, please refer to the relevant description of S413 in Figure 4, which will not be described again here.
  • S814 The cloud platform 30 displays the analysis results. For details, please refer to the relevant description of S414 in Figure 4, which will not be described again here.
  • Figure 9 is a schematic diagram of the hardware structure of a terminal device 100 according to some embodiments of the present application.
  • the terminal device 100 may include a processor 101, a power module 104, a memory 180, a camera 170, a mobile communication module 103, a wireless communication module 105, a sensor module 190, an audio module 106, an interface module 160 and a display screen 102 wait.
  • the processor 101 may include one or more processing units, such as a central processing unit (Central Processing Unit, CPU), a graphics processor (Graphics Processing Unit, GPU), a digital signal processor (Digital Signal Processor, DSP), Processing modules or processing circuits such as microprocessors (Micro-programmed Control Unit, MCU), artificial intelligence (Artificial Intelligence, AI) processors or programmable logic devices (Field Programmable Gate Array, FPGA).
  • processing units can be independent devices or integrated in one or more processors.
  • the processor 101 can be used to perform trellis encoding on the original location information of the terminal device user obtained by using the trellis encoding method configured by the terminal device manufacturer.
  • Memory 180 can be used to store data, software programs and modules, and can be volatile memory (Volatile Memory), such as random access memory (Random-Access Memory, RAM); or non-volatile memory (Non-Volatile Memory), For example, read-only memory (Read-Only Memory, ROM), flash memory (Flash Memory), hard disk (Hard Disk Drive, HDD) or solid-state drive (Solid-State Drive, SSD); or a combination of the above types of memory, or It can also be a removable storage medium, such as a Secure Digital (SD) memory card.
  • the memory 180 may store program code, which is used to cause the processor 101 to execute the network data analysis method provided by the embodiment of the present application by executing the program code.
  • Power module 104 may include a power supply, power management components, and the like.
  • the power source can be a battery.
  • the power management component is used to manage the charging of the power supply and the power supply from the power supply to other modules.
  • the charging management module is used to receive charging input from the charger; the power management module is used to connect the power supply, the charging management module and the processor 101 .
  • the mobile communication module 103 may include, but is not limited to, an antenna, a power amplifier, a filter, a low noise amplifier (Low Noise Amplify, LNA), etc.
  • the mobile communication module 103 can provide wireless communication solutions including 2G/3G/4G/5G applied to the terminal device 100.
  • the mobile communication module 103 can receive electromagnetic waves through an antenna, perform filtering, amplification and other processing on the received electromagnetic waves, and transmit them to a modem processor for demodulation.
  • the mobile communication module 103 can also amplify the signal modulated by the modem processor and convert it into electromagnetic waves through the antenna for radiation.
  • at least part of the functional modules of the mobile communication module 103 may be configured in the processor 101.
  • at least part of the functional modules of the mobile communication module 103 may be configured in the same device as at least part of the modules of the processor 101 .
  • the wireless communication module 105 may include an antenna, and implements the transmission and reception of electromagnetic waves via the antenna.
  • the wireless communication module 105 can provide applications on the terminal device 100 including Wireless Local Area Networks (WLAN) (such as Wireless Fidelity (Wi-Fi) network), Bluetooth (Bluetooth, BT), and global navigation.
  • Wireless communication solutions such as Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR) and other wireless communications.
  • GNSS Global Navigation Satellite System
  • FM Frequency Modulation
  • NFC Near Field Communication
  • IR Infrared
  • the terminal device 100 can communicate with the network and other devices through wireless communication technology.
  • the mobile communication module 103 and the wireless communication module 105 of the terminal device 100 may also be located in the same module.
  • Camera 170 is used to capture still images or video.
  • the object passes through the lens to produce an optical image that is projected onto the photosensitive element.
  • the photosensitive element converts the optical signal into an electrical signal, and then passes the electrical signal to the ISP (Image Signal Processor) to convert it into a digital image signal.
  • the terminal device 100 can realize the shooting function through the ISP, camera 170, video codec, GPU (Graphic Processing Unit, graphics processor), display screen 102 and application processor.
  • Display 102 includes a display panel.
  • the display panel can use a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode or an active-matrix organic light-emitting diode (Active-matrix Organic Light).
  • LCD liquid crystal display
  • OLED organic light-emitting diode
  • Active-matrix organic light-emitting diode Active-matrix Organic Light.
  • -emitting Diode AMOLED
  • Flexible Light-emitting Diode FLED
  • Mini LED Micro LED
  • Micro OLED Quantum Dot Light-emitting Diodes
  • QLED Quantum Dot Light-emitting Diodes
  • the sensor module 190 may include a proximity light sensor, a pressure sensor, a gyroscope sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a distance sensor, a fingerprint sensor, a temperature sensor, a touch sensor, an ambient light sensor, a bone conduction sensor, and the like.
  • the audio module 106 may convert digital audio information into an analog audio signal output, or convert an analog audio input into a digital audio signal. Audio module 106 may also be used to encode and decode audio signals. In some embodiments, the audio module 106 may be configured in the processor 101, or some functional modules of the audio module 106 may be configured in the processor 101. In some embodiments, audio module 106 may include speakers, earpieces, microphones, and headphone jacks. .
  • the interface module 160 includes an external memory interface, a universal serial bus (Universal Serial Bus, USB) interface, a subscriber identification module (Subscriber Identification Module, SIM) card interface, etc.
  • the external memory interface can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the terminal device 100 .
  • the external memory card communicates with the processor 101 through the external memory interface to implement the data storage function.
  • the universal serial bus interface is used for the terminal device 100 to communicate with other mobile phones.
  • the subscriber identity module card interface is used to communicate with the SIM card installed in the terminal device 100, such as reading the phone number stored in the SIM card, or writing the phone number into the SIM card.
  • the terminal device 100 also includes buttons, motors, indicators, and the like.
  • the keys may include volume keys, on/off keys, etc.
  • the motor is used to cause the terminal device 100 to produce a vibration effect.
  • Indicators may include laser pointers, radio frequency indicators, LED indicators, etc.
  • the hardware structure shown in FIG. 9 above does not constitute a specific limitation on the terminal device 100.
  • the terminal device 100 may include more or fewer components than shown in FIG. 9 , or combine some components, or split some components, or arrange different components.
  • Embodiments of the present application also provide a computer-readable storage medium.
  • the computer-readable storage medium stores a computer program.
  • the steps in each of the above method embodiments can be implemented.
  • Embodiments of the present application provide a computer program product.
  • the steps in each of the above method embodiments can be implemented when the electronic device is executed.
  • An embodiment of the present application also provides an electronic device.
  • the electronic device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor.
  • the processor executes The computer program implements the steps in any of the above method embodiments.
  • Embodiments of the mechanisms disclosed in this application may be implemented in hardware, software, firmware, or a combination of these implementation methods.
  • Embodiments of the present application may be implemented as a computer program or program code executing on a programmable system including at least one processor, a storage system (including volatile and non-volatile memory and/or storage elements) , at least one input device and at least one output device.
  • Program code may be applied to input instructions to perform the functions described herein and to generate output information.
  • Output information can be applied to one or more output devices in a known manner.
  • a processing system includes any processor having a processor such as, for example, a Digital Signal Processor (DSP), a microcontroller, an Application Specific Integrated Circuit (ASIC), or a microprocessor. system.
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • Program code may be implemented in a high-level procedural language or an object-oriented programming language to communicate with the processing system.
  • assembly language or machine language can also be used to implement program code.
  • the mechanisms described in this application are not limited to the scope of any particular programming language. In either case, the language may be a compiled or interpreted language.
  • the disclosed embodiments may be implemented in hardware, firmware, software, or any combination thereof.
  • the disclosed embodiments may also be implemented as instructions carried on or stored on one or more transitory or non-transitory machine-readable (e.g., computer-readable) storage media, which may be operated by one or more processors Read and execute.
  • instructions may be distributed over a network or through other computer-readable media.
  • machine-readable media may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer), including, but not limited to, floppy disks, optical disks, optical disks, read-only memories (CD-ROMs), magnetic Optical disc, Read Only Memory (ROM), Random Access Memory (RAM), Erasable Programmable Read Only Memory (EPROM), Electrically Erasable Programmable Memory Read memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), magnetic or optical card, flash memory, or used to use the Internet to transmit information through electrical, optical, acoustic or other forms of propagation signals (for example, carrier waves, infrared signals, digital signals etc.) tangible machine-readable storage.
  • machine-readable media includes any type of machine-readable media suitable for storing or transmitting electronic instructions or information in a form readable by a machine (eg, computer).
  • each unit/module mentioned in each device embodiment of this application is a logical unit/module.
  • a logical unit/module can be a physical unit/module, or it can be a physical unit/module.
  • Part of the module can also be implemented as a combination of multiple physical units/modules.
  • the physical implementation of these logical units/modules is not the most important.
  • the combination of functions implemented by these logical units/modules is what solves the problem of this application. Key technical issues raised.
  • the above-mentioned equipment embodiments of this application do not introduce units/modules that are not closely related to solving the technical problems raised by this application. This does not mean that the above-mentioned equipment embodiments do not exist. Other units/modules.

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Abstract

本申请涉及通信领域，具体涉及一种网络数据分析方法、可读介质和电子设备。该网络数据分析方法包括: 从第一电子设备获取第一网格编码数据和第一业务数据; 向第二电子设备发送第一网格编码数据的网格编码方式信息；接收第二电子设备发送的与第一网格编码数据对应的第二网格编码数据，以及与第一业务数据对应的第二业务数据，第二网格编码数据是第二电子设备根据编码方式信息采用与第一网格编码数据相同的编码方式编码得到的; 基于第一网格编码数据和/或第二网格编码数据，对第一业务数据以及第二业务数据进行分析。第一电子设备和第二电子设备采用相同的网格编码方式进行网格编码，消除了多源数据的适配成本，消除网格错位、交叠和覆盖等问题。

Description

网络数据分析方法、可读介质和电子设备
本申请要求于2022年03月18日提交中国专利局、申请号为202210272364.X、申请名称为“网络数据分析方法、可读介质和电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信领域，特别涉及一种网络数据分析方法、可读介质和电子设备。
背景技术
在网络规划和优化领域中，基于携带有地理位置信息的用户数据，可以用来分析用户流量、基站的信号覆盖质量等网络特性指标，从而将网络特征指标较差的区域进行网络优化。
通常在对用户数据进行分析时，数据源越丰富，则分析的结果越能反映网络的真实情况。然而，在一些多源数据分析的技术方案中，由于多源数据通常是分别由运营商和终端设备厂商对各自采集的业务数据所对应的地址位置信息经过不同的网格编码方案得到的。例如有两路数据源，一路数据源是由运营商获取之后经过网格编码得到的，一路数据源是由终端设备厂商获取之后经过网格编码得到的。从而使得多源数据所对应的同一地理位置信息有可能具有不同的编码结果，进而使得多源数据在地理空间上会产生错位、交叠、覆盖等现象，使得利用多源数据进行网络特性指标的分析时，分析的结果跟实际的网络特性相差较远，基于此分析结果进行网络优化时，优化的效果不佳。
发明内容
有鉴于此，本申请实施例提供了一种网络数据分析方法、可读介质和电子设备。本申请技术方案通过从第一电子设备获取第一网格编码数据和第一业务数据；向第二电子设备发送第一网格编码数据的网格编码方式信息；接收第二电子设备发送的与第一网格编码数据对应的第二网格编码数据，以及与第一业务数据对应的第二业务数据，其中，第二网格编码数据是第二电子设备根据编码方式信息，采用与第一网格编码数据相同的编码方式编码得到的。然后以网格编码数据为基准，对第一业务数据以及第二业务数据进行协同分析。如此可以使得第一电子设备和第二电子设备采用相同的网格编码方式进行网格编码，使得利用网格编码数据作为关键字(key)，对第一业务数据和第二业务数据进行协同分析时，分析的结果较为准确。进而使得利用该分析结果进行网络规划或者网络优化时，网络规划的方案或者网络优化的方案较为合理。并且不需要再进行数据适配，消除了多源数据的适配成本。
本申请的第一方面提供了一种网络数据分析方法，该方法包括：从第一电子设备获取第一网格编码数据和第一业务数据；向第二电子设备发送第一网格编码数据的网格编码方式信息，其中，第一电子设备与第二电子设备使用不同的接入方式接入网络；接收第二电子设备发送的与第一网格编码数据对应的第二网格编码数据，以及与第一业务数据对应的第二业务数据，其中，第二网格编码数据是第二电子设备根据编码方式信息，采用与第一网格编码数据相同的编码方式编码得到的；基于第一网格编码数据和/或第二网格编码数据，对第一业务数据以及第二业务数据进行分析。
其中，第二业务数据和第一业务数据具有一一对应的关系。例如，第一业务数据是第一用户在第 一位置使用终端设备(例如手机)通话或者上网的关键质量指标(Key Quality Index，KQI)数据，用于指示第一用户通话、上网等的一些业务体验指标。KQI主要包括用户日常上网时的网络信号、小区标示、上网速率等业务体验指标。则第二业务数据可以是第一用户在第一位置使用终端设备通话或者上网时，终端设备所连接的运营商设备所采集的话统数据、测量报告(Measurement Report，MR)、呼叫历史报告(Call History Report，CHR)等无线侧业务数据。这些无线侧业务数据可以包括端到端时延(end to end round-trip time，E2E_RTT)、小区级的激活用户数、主服务小区和邻区的电平强度/电平干扰、信道质量、小区发射功率、时间等性能指标。
其中，第二网格编码数据和第一网格编码数据也具有一一对应的关系。例如，第一网格编码数据是上述终端设备在第一位置通话或者上网时，终端设备采用终端设备厂商配置的网格编码方式对终端设备通过GPS定位出的第一位置(用经纬度表示)进行网格编码得到的。第二网格编码数据是网规网优平台利用终端设备厂商配置的网格编码方式，根据其采集的无线侧业务数据确定出来的用户位置信息中筛选出来的和终端设备用户的位置信息相同的用户位置(例如第一位置)，进行网格编码后得到的。
当第一电子设备为终端设备，第二电子设备为安装有运营商的网规网优平台的运营商设备时，网规网优平台可以利用从云平台接收的终端设备厂商配置的网格编码方式对应的网格编码方式信息，确定出采用终端设备厂商配置的网格编码方式进行网格编码，得到运营商侧的网格编码数据。
当第二电子设备为终端设备，第一电子设备为安装有运营商的网规网优平台的运营商设备时，终端设备可以利用从云平台接收的运营商配置的网格编码方式对应的网格编码方式信息，确定出采用运营商配置的网格编码方式进行网格编码，得到终端侧网格编码数据。
第一电子设备和第二电子设备采用相同的网格编码方式进行网格编码，可以消除多源数据的适配成本，消除网格错位、交叠和覆盖等问题。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，编码方式信息为第一网格编码数据的编码方式，向第二电子设备发送与第一网格编码数据的网格编码方式信息，包括：从第一电子设备获取到第一网格编码数据的编码方式；向第二电子设备转发获取到的第一网格编码数据的编码方式。
从而可以使第二电子设备直接根据接收到的第一网格编码方式进行网格编码。由于第一网格编码方式为第一电子设备采用的网格编码方式，因此，第二电子设备和第一电子设备采用相同的网格编码方式，从而可以使得第一电子设备和第二电子设备针对同一用户位置信息的编码结果相同。从而可以避免产生网格错位、交叠和覆盖等问题。使得利用网格编码数据作为关键字(key)，对第一业务数据和第二业务数据进行协同分析时，分析的结果较为准确。进而使得利用该分析结果进行网络规划或者网络优化时，网络规划的方案或者网络优化的方案较为合理。并且不需要再进行数据适配，消除了多源数据的适配成本。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，编码方式信息为第一电子设备的厂商标识或运营商标识，向第二电子设备发送与第一网格编码数据的网格编码方式相关的编码方式信息，包括：
从第一电子设备获取到第一电子设备的厂商标识或运营商标识；根据获取到的厂商标识或运营商标识，确定出第一电子设备的第一网格编码数据的编码方式；向第二电子设备转发确定出的第一网格编码数据的编码方式。
以便于第二电子设备根据接收到的第一网格编码数据的编码方式进行网格编码，得到第二网格编码数据。由于第一网格编码方式为第一电子设备采用的网格编码方式，因此，第二电子设备和第一电子设备采用相同的网格编码方式，从而可以使得第一电子设备和第二电子设备针对同一用户位置信息的编 码结果相同。从而可以避免产生网格错位、交叠和覆盖等问题。使得利用网格编码数据作为关键字(key)，对第一业务数据和第二业务数据进行协同分析时，分析的结果较为准确。进而使得利用该分析结果进行网络规划或者网络优化时，网络规划的方案或者网络优化的方案较为合理。并且不需要再进行数据适配，消除了多源数据的适配成本。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，编码方式信息为第一电子设备的厂商标识或运营商标识，并且向第二电子设备发送与第一网格编码数据的网格编码方式相关的编码方式信息，包括：
从第一电子设备获取到第一电子设备的厂商标识或运营商标识；向第二电子设备转发获取到的厂商标识或运营商标识，以便于根据厂商标识或运营商标识获取第一电子设备的第一网格编码数据的编码方式。
例如，假设第二电子设备为安装有运营商的网规网优平台的运营商设备，第一电子设备为终端设备时，第二电子设备中可以保存有各终端设备的厂商标识以及各终端设备厂商对应的网格编码方式，则第二电子设备从第一电子设备获取到第一电子设备的厂商标识后；根据获取到的厂商标识，确定出第一电子设备在网格编码时所采用的编码方式，从而第二电子设备可以采用和第一电子设备相同的网格编码方式(即终端设备厂商配置的网格编码方式)进行网格编码。
又如，假设第一电子设备为安装有运营商的网规网优平台的运营商设备，第二电子设备为终端设备时，第二电子设备中可以保存有各运营商标识以及各运营商对应的网格编码方式，则第二电子设备从第一电子设备获取到第一电子设备的对应的运营商标识后；根据获取到的运营商标识，确定出第一电子设备在网格编码时所采用的编码方式，从而第二电子设备可以采用和第一电子设备相同的网格编码方式(即运营商配置的网格编码方式)进行网格编码。
从而可以使得第一电子设备和第二电子设备针对同一用户位置信息的编码结果相同。从而可以避免产生网格错位、交叠和覆盖等问题。使得利用网格编码数据作为关键字(key)，对第一业务数据和第二业务数据进行协同分析时，分析的结果较为准确。进而使得利用该分析结果进行网络规划或者网络优化时，网络规划的方案或者网络优化的方案较为合理。并且不需要再进行数据适配，消除了多源数据的适配成本。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，第一网格编码数据是由第一电子设备通过以下方式编码得到的：
第一电子设备采集第一业务数据，并且确定出第一业务数据对应的第一用户位置数据；第一电子设备采用第一网格编码方式，对确定出的第一用户位置数据进行网格编码，得到第一网格编码数据。
以便于根据第一网格编码数据对第一业务数据以及第二业务数据进行协同分析。由于第一业务数据和第二业务数据包含的性能指标不同，因此，采用多样化的业务数据进行分析，可以为运营商客户提供精准、优质的网规网优业务体验服务。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，第一电子设备采用第一网格编码方式，对确定出的第一用户位置数据进行网格编码，得到第一网格编码数据，包括：
第一电子设备确定出第一用户位置数据在地理空间中对应的纬度分带的中心纬度，其中，纬度分带是基于设定的分带划分方法对地理空间划分得到的；第一电子设备基于中心纬度确定出第一用户位置数据对应的第一分带系数；第一电子设备根据确定出来的第一用户位置数据以及第一分带系数，计算出第一用户位置数据对应的第一调整位置数据；第一电子设备将第一调整位置数据对应的经度和纬度分别进行量化，得到第一调整位置数据对应的第一经度编码和第一纬度编码；第一电子设备将第一经度编码 和第一纬度编码按照莫顿编码方式进行组合，得到第一用户位置数据对应的第一网格编码数据。
通过这种编码方式编码得到的网格编码数据，由于对编码的用户位置数据进行了调整，例如对用户位置数据中的经度利用分带系数进行修正，可以实现近似等距的网格剖分。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，第二网格编码数据是由第二电子设备通过以下方式编码得到的：
第二电子设备从第一电子设备接收编码方式信息，并且根据编码方式信息确定出采用第一网格编码方式进行网格编码；第二电子设备采集第二业务数据，并且确定出第二业务数据对应的第二用户位置数据；第二电子设备采用第一网格编码方式，对确定出的第二用户位置数据进行网格编码，得到第二网格编码数据。
以便于根据第二网格编码数据对第一业务数据以及第二业务数据进行协同分析。由于第一业务数据和第二业务数据包含的性能指标不同，因此，采用多样化的业务数据进行分析，可以为运营商客户提供精准、优质的网规网优业务体验服务。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，第二电子设备采用第一网格编码方式，对确定出的第二用户位置数据进行网格编码，得到第二网格编码数据，包括：
第二电子设备确定出第二用户位置数据在地理空间中对应的纬度分带的中心纬度，其中，纬度分带是基于设定的分带划分方法对地理空间划分得到的；第二电子设备基于中心纬度确定出第二用户位置数据对应的第二分带系数；第二电子设备根据确定出来的第二用户位置数据以及第二分带系数，计算出第二用户位置数据对应的第二调整位置数据；第二电子设备将第二调整位置数据对应的经度和纬度分别进行量化，得到第二调整位置数据对应的第二经度编码和第二纬度编码；第二电子设备将第二经度编码和第二纬度编码按照莫顿编码方式进行组合，得到第二用户位置数据对应的第二网格编码数据。
通过这种编码方式编码得到的网格编码数据，由于对编码的用户位置数据进行了调整，例如对用户位置数据中的经度利用分带系数进行修正，可以实现近似等距的网格剖分。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，基于第一网格编码数据和/或第二网格编码数据，对第一业务数据以及第二业务数据进行分析，包括：
基于第一网格编码数据，对第一业务数据以及第二业务数据进行分析，或者基于第二网格编码数据，对第一业务数据以及第二业务数据进行分析。
根据第一网格编码数据或者第二网格编码数据对第一业务数据以及第二业务数据进行协同分析。由于第一业务数据和第二业务数据包含的性能指标不同，因此，采用多样化的业务数据进行分析，可以为运营商客户提供精准、优质的网规网优业务体验服务。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，第一业务数据包括关键质量指标(Key Quality Index，KQI)数据，第二业务数据包括话统数据、呼叫历史报告、测量报告中的一种或多种；或者第一业务数据包括话统数据、呼叫历史报告、测量报告中的一种或多种，第二业务数据包括关键质量指标(Key Quality Index，KQI)数据。
从而利用第一业务数据和第二业务数据中包含的各种性能指标进行协同分析时，可以较为全面的分析地理空间的用户流量、信号覆盖质量等网络特性指标，以便运营商针对质差区域进行网络优化。
在上述第一方面的一种可能的实现中，该网络数据分析方法中，第一电子设备为运营商设备，第二电子设备为用户终端设备；或者第一电子设备为用户终端设备，第二电子设备为运营商设备。
本申请的第二方面提供了一种计算机可读存储介质，计算机可读存储介质上存储有指令，该指令在电子设备上执行时使电子设备执行上述第一方面以及第一方面的任意一种可能的实现中的任一项网 络数据分析方法。
本申请的第三方面提供了一种计算机程序产品，计算机程序产品包括指令，指令当被一个或多个处理器执行时用于实现如上述第一方面以及第一方面的任意一种可能的实现中的任一项网络数据分析方法。
本申请的第四方面提供了一种电子设备，包括：
存储器，用于存储指令，以及
一个或多个处理器，用于执行存储器中存储的指令，当指令被一个或多个处理器执行时，使得电子设备执行如上述第一方面以及第一方面的任意一种可能的实现中的任一项网络数据分析方法。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1示出了本申请实施例提供的一种网络优化应用场景示意图；
图2示出了本申请实施例提供的一种网络数据优化的方案示意图；
图3示出了本申请实施例提供的一种网络优化系统的软件逻辑架构示意图；
图4示出了本申请实施例提供的一种网络数据分析方法的交互流程图；
图5示出了本申请实施例提供的一种网格编码方式的流程示意图；
图6示出了本申请实施例提供的一种简化的纬度分带划分示意图；
图7A示出了本申请实施例提供的一种由经度编码和纬度编码得到的网格编码的编码方式示意图；
图7B示出了本申请实施例提供的图7A所示的网格编码的详细信息；
图8示出了本申请实施例提供的另一种网络数据分析方法的交互流程图；
图9示出了本申请实施例提供的一种终端设备的硬件结构示意图。
具体实施方式
本申请的说明性实施例包括但不限于一种网络数据分析方法、可读介质和电子设备。
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
本申请实施例的技术方案可以应用于各种通信系统，例如：全球移动通信(global system of mobile communication，GSM)系统、码分多址(code division multiple access，CDMA)系统、宽带码分多址(wideband code division multiple access，WCDMA)系统、通用分组无线业务(general packet radio service，GPRS)、长期演进(long term evolution，LTE)系统、LTE频分双工(frequency division duplex，FDD)系统、LTE时分双工(Time Division Duplexing，TDD)、通用移动通信系统(Universal Mobile Telecommunications System，UMTS)或全球互联微波接入(Worldwide Interoperability for Microwave Access，WiMAX)通信系统或未来的5G系统等。
图1根据本申请的一些实施例，示出了本申请技术方案适用的一种网络优化应用场景示意图。该应用场景包括本申请实施例适用的通信系统10，以及独立于该通信系统的网规网优平台20、云平台30。
通信系统10可以包括至少一个网络设备110。网络设备110可以是与终端设备通信的设备，如基站或基站控制器等。每个网络设备110可以为特定的地理区域提供通信覆盖，并且可以与位于该覆盖区 域(小区)内的终端设备进行通信。该网络设备110可以是GSM系统或码分多址(code division multiple access，CDMA)系统中的基站(base transceiver station，BTS)，也可以是WCDMA系统中的基站(Node B，NB)，还可以是LTE系统中的演进型基站(evolutional Node B，eNB或eNode B)，或者是云无线接入网络(cloud radio access network，CRAN)中的无线控制器，或者该网络设备可以为中继站、接入点、车载设备、可穿戴设备、未来5G网络中的网络侧设备或者未来演进的公共陆地移动网络(public land mobile network，PLMN)中的网络设备等。
通信系统10还包括位于网络设备110覆盖范围内的多个终端设备100。该终端设备100可以是移动的或固定的。终端设备100可以指接入终端、用户设备(user equipment，UE)、用户单元、用户站、移动站、移动台、远方站、远程终端、移动设备、用户终端、终端、无线通信设备、用户代理或用户装置。接入终端可以是手机、蜂窝电话、无绳电话、会话启动协议(session initiation protocol，SIP)电话、无线本地环路(wireless local loop，WLL)站、个人数字处理(personal digital assistant，PDA)、具有无线通信功能的手持设备、计算设备或连接到无线调制解调器的其它处理设备、车载设备、可穿戴设备、未来5G网络中的终端设备或者未来演进的公共陆地移动网络(public land mobile network，PLMN)中的终端设备等。
网规网优平台20可以为运营商的服务器集群所安装的软件系统。网规网优平台20可以用于采集话统数据、测量报告(Measurement Report，MR)、呼叫历史报告(Call History Report，CHR)等无线侧业务数据。作为一个可选的实施例，上述无线侧业务数据可以包括端到端时延(end to end round-trip time，E2E_RTT)、小区级的激活用户数、主服务小区和邻区的电平强度/电平干扰、信道质量、小区发射功率、时间等指标。
网规网优平台20还可以基于采集的无线侧业务数据和基站的工参数据(也即运营商的基站位置信息)，利用相关的算法，例如利用三角定位算法，确定出历史呼叫记录中多个终端设备用户的原始位置信息(用经纬度表示)。并且利用运营商配置的网格编码方式，将多个终端设备用户的原始位置信息进行网格编码，得到对应各终端设备用户的原始位置信息的无线侧网格编码结果，然后将前述无线侧业务数据以及无线侧网格编码结果上报给云平台30。应理解，用户在使用终端设备进行通话时，用户和终端为同一位置，因此，用户的位置信息和用户所使用的终端的位置信息相同。应理解，网规网优平台20还可以采集其他能够反映通信系统10的基本属性的数据，本申请对此不作限定。
终端设备100可以通过软件开发工具包(Software Development Kit，SDK)实现终端侧的业务数据的采集，例如采集用户使用终端100通话或者上网的关键质量指标(Key Quality Index，KQI)数据，用于指示用户通话、上网等的一些业务体验指标。作为一个可选的实施例，KQI主要包括用户日常上网时的网络信号、小区标示、上网速率等业务体验指标。并且终端设备100可以通过全球定位系统(Global Positioning System，GPS)系统定位出终端设备用户的原始位置信息(也是用经纬度表示)。并且利用终端设备厂商配置的网格编码方式，将终端设备100通过GPS定位出的终端设备用户的原始位置信息进行网格编码，得到终端侧网格编码结果，然后将终端侧业务数据以及终端侧网格编码结果上报给云平台30。应理解，终端设备100还可以采集其他能够反映用户的一些业务体验指标的数据，本申请对此不作限定。
云平台30可以和终端设备100以及网规网优平台20进行通信，获取终端设备100上报的终端侧业务数据和终端侧网格编码结果，以及获取网规网优平台20上报的无线侧业务数据和无线侧网格编码结果。然后基于获取的终端侧业务数据和终端侧网格编码结果、无线侧业务数据和无线侧网格编码结果进行协同分析。
然而，由于云平台30从网规网优平台20获取的无线侧网格编码结果是基于运营商配置的网格编码方式编码得到的，而云平台30从终端设备100获取的终端侧网格编码结果是基于终端设备厂商配置的网格编码方式编码得到的，在运营商配置的网格编码方式和终端设备厂商配置的网格编码方式不同的情况下，针对同一终端设备用户的原始位置信息，网规网优平台20生成的网格编码结果和终端设备100生成的网格编码结果不同。从而有可能会导致云平台30在利用终端侧业务数据和终端侧网格编码结果、无线侧业务数据和无线侧网格编码结果进行协同分析时，由于同一终端设备用户的原始位置信息所对应的网格编码结果不同，使得终端侧业务数据和无线侧业务数据在地理空间上会产生错位、交叠、覆盖等现象，使得对通信系统10的网络特性指标的分析结果跟实际情况有偏差，基于此分析结果进行网络规划或网络优化时，网络规划的方案或者网络优化的效果不佳。
为了解决上述问题，在一些实施例中，云平台30在获取到网规网优平台20上报的无线侧业务数据和无线侧网格编码结果，以及终端设备100上报的终端侧业务数据和终端侧网格编码结果之后，对无线侧网格编码结果和终端侧网格编码结果进行数据适配，从而使同一用户的原始位置信息在地理空间上拉齐，消除网格错位、交叠和覆盖等问题。
由于无线侧业务数据和终端侧业务数据中各自包含有特定的业务指标，也就是说无线侧业务数据和终端侧业务数据中各自包含有特定的字段，例如无线侧业务数据包含有主服务小区和邻区的电平强度/电平干扰、信道质量、小区发射功率等字段的内容，而终端侧业务数据包含有用户日常上网时的网络信号、上网速率等字段的内容，因此，云平台30还可以根据接收到的数据内容，确定出数据是由网规网优平台20发送的，还是由终端设备100发送的。
此外，由于无线侧业务数据和无线侧网格编码结果通常是由网规网优平台20作为网规网优平台20上报的报文中的一部分数据同时上报给云平台30的，并且终端侧业务数据和终端侧网格编码结果通常也是由终端设备100作为终端设备100上报的报文的一部分数据同时上报给云平台30的。因此，网规网优平台20和终端设备100可以分别在上报给云平台30的报文中添加网规网优平台20或者终端设备100的标识信息，云平台30可以根据接收到的报文中的标识信息，确定出接收到的报文是由网规网优平台20发送的，还是由终端设备100发送的。
例如，在图2所示的实施例中，在云平台30获取到网规网优平台20上报的无线侧业务数据和无线侧网格编码结果，以及终端设备100上报的终端侧业务数据和终端侧网格编码结果时，还需要从网规网优平台20获取运营商配置的网格编码方式，以及从终端设备100获取终端设备厂商配置的网格编码方式。对无线侧业务数据和终端侧业务数据进行归一化处理，提取关键网络特性字段信息(经纬度，小区信息，重叠覆盖等)。并且对无线侧网格编码结果和终端侧网格编码结果进行数据适配。例如，云平台30基于运营商配置的网格编码方式对无线侧网格编码结果进行反解，计算出无线侧对应的用户的原始位置信息；基于终端设备厂商配置的网格编码方式对终端侧网格编码结果进行反解，计算出终端侧对应的多个用户的原始位置信息。再利用云平台30预设的网格编码方案对前述计算出的无线侧对应的多个用户的原始位置信息，以及前述计算出的终端侧对应的用户的原始位置信息进行再次网格编码，从而利用云平台30生成的网格编码结果作为无线侧业务数据和终端侧业务数据的统一的关键字(key)，对无线侧业务数据和终端侧业务数据进行协同分析。
然而在图2所示的实施例中，由于云平台30需要额外的对从网规网优平台20获取的无线侧网格编码结果，和从终端设备100获取的终端侧网格编码结果进行数据适配，在数据量较多的情况下，会占用云平台30较多的计算资源，有可能会导致云平台30的处理效率较低。
为此，本申请提供了一种网络数据分析方法，通过使终端设备100和网规网优平台20采用同一种 网格编码方式进行网格编码，例如使终端设备100和网规网优平台20均采用终端设备100厂商设置的网格编码方式进行网格编码，又如使终端设备100和网规网优平台20均采用运营商设置的网格编码方式进行网格编码，不需要再在云平台30中进行数据适配，消除了多源数据的适配成本。
具体地，对于终端设备100和网规网优平台20均采用终端设备100厂商设置的网格编码方式进行网格编码的实施例，云平台30可以从终端设备100获取终端侧数据，其中，终端侧数据包括终端侧业务数据，以及终端设备100采用终端设备100厂商设置的网格编码方式编码得到的终端侧网格编码结果。然后云平台30向网规网优平台20发送表示终端设备100采用终端设备100厂商设置的网格编码方式进行网格编码的编码方式信息，则网规网优平台20可以根据该编码方式信息确定出采用终端设备100厂商设置的网格编码方式进行网格编码，得到无线侧网格编码结果。然后云平台30从网规网优平台20获取包含无线侧网格编码结果的无线侧数据。
而对于终端设备100和网规网优平台20均采用运营商设置的网格编码方式进行网格编码的实施例，云平台30可以从网规网优平台20获取无线侧数据，其中，无线侧数据包括网规网优平台20采用运营商设置的网格编码方式编码得到的无线侧网格编码结果。然后云平台30向终端设备100发送表示网规网优平台20采用运营商设置的网格编码方式进行网格编码的编码方式信息，则终端设备100可以根据该编码方式信息确定出采用运营商设置的网格编码方式进行网格编码，得到终端侧网格编码结果。然后云平台30从终端设备100获取包含终端侧网格编码结果的终端侧数据。
此外，由于终端侧数据还包括终端侧业务数据，无线侧数据还包括无线侧业务数据。并且由于终端侧业务数据和无线侧业务数据都包含有用户的编码方式信息，例如用户的身份信息，SIM卡信息等。因此，在云平台30从网规网优平台20获取到包含无线侧网格编码结果的无线侧数据，以及从终端设备100获取到包含终端侧网格编码结果的终端侧数据之后，可以根据终端侧业务数据和无线侧业务数据包含的用户的编码方式信息，确定出终端侧业务数据和无线侧业务数据之间的对应关系。然后以终端侧网格编码结果和/或无线侧网格编码结果为基准，对无线侧数据和终端侧数据进行协同分析。
由于本申请技术方案中，云平台30从终端设备100获取的终端侧网格编码结果，以及从网规网优平台20获取的无线侧网格编码结果，是分别由终端设备100和网规网优平台20采用同一种网格编码方式编码得到的。因此，对于同一用户的原始位置信息，网规网优平台20和终端设备100得到的网格编码结果相同。从而可以避免产生网格错位、交叠和覆盖等问题。使得云平台30利用网格编码结果作为关键字(key)，对无线侧业务数据和终端侧业务数据进行协同分析时，分析的结果较为准确。进而使得利用该分析结果进行网络规划或者网络优化时，网络规划的方案或者网络优化的方案较为合理。并且不需要再在云平台30中进行数据适配，消除了多源数据的适配成本。
其中，具体的网格编码方式将在下文中结合具体实施例进行详细介绍，此处不展开介绍。
下面将对本申请技术方案适用的一种网络优化系统的软件逻辑架构进行详细介绍。
参考图3，在图3所示的实施例中，网络优化系统包括网规网优平台20、终端设备100、云平台30。
其中，网规网优平台20包括无线数据采集模块201、无线定位模块202、无线网格编码模块203、无线数据上报模块204。无线数据采集模块201用于采集无线侧业务数据，例如采集话统数据、测量报告(Measurement Report，MR)、呼叫历史报告(Call History Report，CHR)等无线侧业务数据。无线定位模块202用于利用无线数据采集模块201采集的无线侧业务数据，利用基站的工参数据(也即运营商的基站位置信息)，采用相关的算法，例如利用三角定位算法，确定出历史呼叫记录中多个终端设备用户的原始位置信息(用经纬度表示)。无线网格编码模块203用于从云平台30获取的终端设备厂商配置的网格编码方式，对无线定位模块202确定出的多个终端设备用户的原始位置信息进行网格编码，或 者，无线网格编码模块203用于根据运营商设置的网格编码方式，对无线定位模块202确定出的多个终端设备用户的原始位置信息进行网格编码。无线数据上报模块204用于从云平台30获取终端设备100上报给云平台30的网格编码方式，以及将无线网格编码模块203得到的无线侧网格编码结果和无线侧业务数据上报给云平台30。或者，无线数据上报模块204用于向云平台30上报运营商设置的网格编码方式，以及无线网格编码模块203得到的无线侧网格编码结果和无线侧业务数据。
终端设备100包括终端数据采集模块120、终端定位模块140、终端网格编码模块130、终端数据上报模块150。终端数据采集模块120用于采集终端侧业务数据，例如采集关键质量指标(Key Quality Index，KQI)数据。终端定位模块140用于定位出(例如通过GPS进行定位)终端设备用户的原始位置信息(也是用经纬度表示)。终端网格编码模块130用于对终端定位模块140定位得到的终端设备用户的原始位置信息，采用终端设备厂商配置的网格编码方式，进行网格编码。或者，终端网格编码模块130用于对终端定位模块140定位得到的终端设备用户的原始位置信息，采用运营商设置的网格编码方式，进行网格编码。终端数据上报模块150用于向云平台30上报前述采集的终端侧业务数据以及终端侧网格编码结果。终端数据上报模块150还可以用于向云平台30上报终端设备厂商配置的网格编码方式。
云平台30包括数据分析模块301、显示模块302。数据分析模块301用于对从网规网优平台20无线侧业务数据和无线侧网格编码结果，以及从终端设备100获取的终端侧业务数据和终端侧网格编码结果，以网格编码结果为关键字(key)进行协同分析。显示模块302用于对协同分析的结果进行显示。例如，云平台30通过数据分析模块301分析出一些网格对应的蜂窝网络的信号较差，或者分析出一些网格没有被网络设备110覆盖，接收不到蜂窝网络，则运维人员可以根据显示模块302显示的分析结果，在信号质量较差的网格增设网络设备110，或者调整网络设备110的设置参数。例如网络设备110为基站时，可以增设基站，或者调整基站天线的发射方向等。
由于网规网优平台20可以采用和终端设备100采用相同的网格编码方式，对终端设备用户的原始位置信息进行网格编码。从而网规网优平台20和终端设备100对同一用户的原始位置信息的编码结果相同，从而避免产生网格错位、交叠和覆盖等问题。使得云平台30利用网格编码结果作为关键字(key)，对无线侧业务数据和终端侧业务数据进行协同分析时，分析的结果较为准确。进而使得利用该分析结果进行网络规划或者网络优化时，网络规划的方案或者网络优化的方案较为合理。并且不需要再在云平台30中进行数据适配，消除了多源数据的适配成本。
下面将结合图3所示的网络优化系统的软件逻辑架构示意图，对本申请提供的一种网络数据分析方法进行详细介绍。图4为本申请的一些实施例提供的一种网络数据分析方法的交互流程图，具体地，如图4所示的网络数据分析方法包括以下各个步骤：
S401：终端设备100采集终端侧业务数据。
例如，在终端设备100的通话或者上网过程中，终端设备100可以通过终端数据采集模块120采集用户通话或者上网过程中的通话质量、上网速率等关键质量指标(Key Quality Index，KQI)数据。
S402：终端设备100定位得到终端设备用户的原始位置信息。
例如，终端设备100通过终端定位模块140定位出(例如通过GPS进行定位)终端设备用户在使用终端设备100进行通话或者上网过程中用户的原始位置信息(也是用经纬度表示)。
S403：终端设备100采用终端设备厂商配置的网格编码方式，对定位得到的终端设备用户的原始位置信息进行网格编码。
例如，终端设备100通过终端网格编码模块130对终端定位模块140定位得到的终端设备用户的原 始位置信息，采用终端设备厂商配置的网格编码方式，进行网格编码，从而得到针对对应用户的原始位置信息的网格编码结果。本申请技术方案不对终端设备厂商配置的网格编码进行限定。下文会结合图5详细介绍本申请技术方案采用的一种网格编码方式，此处先不展开介绍。
S404：云平台30向终端设备100请求获取终端侧业务数据、终端侧网格编码结果、网格编码方式信息。
S405：终端设备100向云平台30返回终端侧业务数据、终端侧网格编码结果、网格编码方式信息
例如，终端设备100通过终端数据上报模块150向云平台30上报前述采集的终端侧业务数据、终端侧网格编码结果、网格编码方式信息。S406：云平台30保存接收到的终端侧业务数据、终端侧网格编码结果、网格编码方式信息。
S407：网规网优平台20向云平台30请求获取终端设备100上报的网格编码方式信息。
S408：云平台30向网规网优平台20返回终端设备100上报的网格编码方式信息。
S409：网规网优平台20采集无线侧业务数据。
其中，网规网优平台20采集的无线侧业务数据所对应的用户的原始位置信息可以和S401中终端设备100采集的终端侧业务数据所对应的用户的原始位置信息相同。
此外，网规网优平台20采集的无线侧业务数据还可以对应更多用户的原始位置信息。例如，终端设备100采集的终端侧业务数据所对应的用户的原始位置信息为P1，而网规网优平台20采集的无线侧业务数据对应的用户的原始位置信息不仅包括P1，还包括其他用户的原始位置信息P2以及P3。
例如，网规网优平台20接收到云平台30返回的终端设备100上报的网格编码方式信息之后，通过无线数据采集模块201采集采集话统数据、测量报告(Measurement Report，MR)、呼叫历史报告(Call History Report，CHR)等无线侧业务数据。也就是说S409在S408之后执行。
在一些实施例中，网规网优平台20还可以在向云平台30请求获取终端设备100上报的网格编码方式信息之前，采集无线侧业务数据。也就是说S409还可以在S407之前执行。本申请对网规网优平台20采集无线侧业务数据的时间节点不做限定。
S410：网规网优平台20基于采集的无线侧业务数据，确定出终端设备用户的原始位置信息。
例如，网规网优平台20通过无线定位模块202利用无线数据采集模块201采集的无线侧业务数据，利用基站的工参数据(也即运营商的基站位置信息)，采用相关的算法，例如利用三角定位算法，确定出历史呼叫记录中多个终端设备用户的原始位置信息(用经纬度表示)。
S411：网规网优平台20采用与上述获取的网格编码方式信息对应的编码方式，对确定出的终端设备用户的原始位置信息进行网格编码。
例如，网规网优平台20从云平台30获取的网格编码方式信息为终端设备厂商配置的网格编码方式，则网规网优平台20可以通过无线网格编码模块203，采用获取到的终端设备厂商配置的网格编码方式，对无线定位模块202确定出的多个终端设备用户的原始位置信息进行网格编码，得到与终端设备用户的原始位置信息对应的网格编码结果。
又如，网规网优平台20从云平台30获取的网格编码方式信息为终端设备的厂商标识，则网规网优平台20根据该厂商标识，确定出终端设备厂商配置的网格编码方式，然后通过无线网格编码模块203，采用终端设备厂商配置的网格编码方式，对无线定位模块202确定出的多个终端设备用户的原始位置信息进行网格编码，得到与终端设备用户的原始位置信息对应的网格编码结果。
S412：网规网优平台20向云平台30上报无线侧业务数据以及无线侧网格编码结果。
其中，网规网优平台20向云平台30上报无线侧业务数据可以是上述S409中网规网优平台20采 集的无线侧业务数据，还可以是网规网优平台20从采集的无线侧业务数据中筛选出来的，和终端设备100采集的终端侧业务数据具有相同原始位置信息的部分无线侧业务数据。本申请对此不作限定。
例如，网规网优平台20通过无线数据上报模块204将无线网格编码模块203编码得到的无线侧网格编码结果和无线侧业务数据上报给云平台30。
S413：云平台30以网格编码结果为关键字，对无线侧业务数据和终端侧业务数据进行协同分析。
例如，云平台30通过数据分析模块301对从网规网优平台20无线侧业务数据和无线侧网格编码结果，以及从终端设备100获取的终端侧业务数据和终端侧网格编码结果，以网格编码结果为关键字(key)进行协同分析。
具体地，云平台30在获取到无线侧业务数据和无线侧网格编码结果，以及终端侧业务数据和终端侧网格编码结果之后，通过数据分析模块301，将无线侧网格编码结果、无线侧业务数据、终端侧网格编码结果、终端侧业务数据存入数据库。并且从无线侧业务数据中提取出时间、无线小区、服务小区和邻区的电平和干扰等关键字段，从终端侧业务数据中提取出用户日常上网时的网络信号、小区标示、上网速率等关键字段。然后将这些提取出来的关键字段、无线侧网格编码结果、终端侧网格编码结果存入数据库，以网格编码结果作为索引字段。由于网格编码方式统一，从而将网格编码结果作为索引字段与地理空间的映射关系一一对应，使得云平台30利用网格编码结果作为关键字(key)，对无线侧业务数据和终端侧业务数据进行协同分析时，分析的结果较为准确。进而使得利用该分析结果进行网络规划或者网络优化时，网络规划的方案或者网络优化的方案较为合理。并且不需要再在云平台30中进行数据适配，消除了多源数据的适配成本。
S414：云平台30显示分析结果。
例如，云平台30通过数据分析模块301分析出一些网格对应的蜂窝网络的信号较差，或者分析出一些网格没有被网络设备110覆盖，接收不到蜂窝网络，则运维人员可以根据显示模块302显示的分析结果，在信号质量较差的网格增设网络设备110，或者调整网络设备110的设置参数。例如网络设备110为基站时，可以增设基站，或者调整基站天线的发射方向等，以改善网格信号质量差的情况。
可以理解，上述步骤S401至步骤S412的执行顺序只是一种示意，在另一些实施例中，也可以采用其他执行顺序，还可以拆分或合并部分步骤，在此不做限定。
下面将对上述S403涉及的终端设备厂商配置的一种网格编码方式进行详细介绍。图5为本申请的一些实施例提供的一种网格编码方式的流程示意图，图5所示的各个步骤中的执行主体可以是上述终端设备100。具体地，如图5所示，本申请提供的一种网格编码方法包括以下各个步骤：
S501：确定待编码的地理位置信息(原始经纬度)。
例如，在终端设备100的一次通话或者上网过程中，终端设备100可以通过GPS定位出终端设备100的地理位置信息。应理解，通常终端设备100可以保存每次通话或上网时终端设备100的地理位置信息，从而在需要进行网格编码时，例如终端设备100在接收到云平台30发送的网格编码请求时，再对终端设备100保存的地理位置信息进行网格编码。可选地，终端设备100也可以在每次定位得到终端设备100的地理位置信息之后，直接对定位得到的地理位置信息进行网格编码，并保存终端侧网格编码结果，从而便于云平台30从终端设备100获取终端侧网格编码结果。
其中，待编码的地理位置信息可以用地理坐标系统下的原始经纬度表示。示例性地，待编码的地理位置信息为图6所示的C(lon，lat)。
S502：确定待编码的地理位置信息在地理位置空间中对应的纬度分带的中心纬度，其中纬度分带是基于设定的分带划分方法对地球的地理位置空间划分得到的。
例如，终端设备100根据待编码的地理位置信息所在行政区域的最大/最小纬度，根据最大/最小纬度的平均值查找最近的维度分带的中心纬度。示例性地，划分纬度分带的方法可以为：将地球由南到北按纬度等距划分2 n个分带，例如n＝9，则将地球划分512分带，n的大小可以根据实际需要设定，本申请对此不作限定。
示例性地，在图6示意出的一种简化的纬度分带划分示意图中，终端设备100确定出对应待编码的地理位置C(lon，lat)的纬度分带为Z。从而进一步确定出纬度分带为Z的中心纬度为lat0。
S503：基于前述中心纬度确定待编码的地理位置信息对应的分带系数。
例如，终端设备100计算出前述中心纬度的余弦值：cos(纬度)，将该余弦值作为待编码的地理位置信息对应的分带系数k。分带系数可以用于对等距划分的纬度分带进行调整，从而可以最大程度保证网格的近似等距。
S504：基于待编码的地理位置信息(原始经纬度)，以及确定出来的分带系数k，按照设定的计算方法计算出待编码的地理位置信息对应的调整位置信息(调整经纬度)。
例如，终端设备100按照以下公式(1)计算出待编码的地理位置信息对应的调整位置信息(i，j)：
Figure PCTCN2022138421-appb-000001
其中，δx为对地理位置空间进行网格划分之后得到的每个网格的经度跨度；
δy为对地理位置空间进行网格划分之后得到的每个网格的纬度跨度；
M为对地理位置空间进行网格划分过程中，分别在纬度方向/经度方向的剖分次数；
lon为待编码的地理位置信息对应的经度；lat为待编码的地理位置信息对应的纬度。
可选地，对地理位置空间进行网格划分的方法可以为：设定剖分后最终想要得到的网格的大小G，通常剖分得到的各个网格为正方形。采用四分法，将整个地球的地理位置空间进行迭代剖分，例如，首先将整个地理位置空间剖分为四个子块，分别编码为：00xxxx，01xxxx，10xxxx，11xxxx；再对剖分得到的四个子块进行迭代剖分，也即对前述四个子块中的各个子块分别再剖分为四个子块，例如，对编码为00xxxx的子块再次剖分得到的四个子块分别编码为0000xx，0001xx，0010xx，0011xx；如此重复对新的子块再进行剖分，直至剖分得到的网格大小为期望值G后停止剖分。
可选地，可以通过以下公式(2)计算出上述每个网格的纬度跨度δy：
Figure PCTCN2022138421-appb-000002
其中，R为地球周长；G为网格大小(网格的边长)。
可选地，可以通过以下公式(3)计算出上述每个网格的经度跨度δx：
Figure PCTCN2022138421-appb-000003
其中，k为待编码的地理位置信息对应的分带系数。
可选地，M可以通过以下方式确定出来：首先计算出对东西方向的剖分次数p，以及南北方向的剖分次数q，然后从p和q中选择一个数值较大的作为M。其中，通过以下公式(4)、公式(5)分别计算出东西方向的剖分次数p、南北方向的剖分次数q：
Figure PCTCN2022138421-appb-000004
Figure PCTCN2022138421-appb-000005
则
Figure PCTCN2022138421-appb-000006
其中，ceil函数的含义为向上取整。
S505：将调整位置信息的经度和纬度分别进行量化，得到调整位置信息对应的经度编码和纬度编码。
例如，终端设备100将通过S504得到的调整位置信息量化为整型数。其中，整型数的取值与期望得到的网格大小G有关。示例性地，期望得到的网格大小G为1.25米，则量化得到的调整位置信息对应的经度编码和纬度编码的前7位(高位)取值均为0。假设终端设备100将通过S504得到的调整位置信息量化为32的整型数，则量化得到的调整位置信息对应的经度编码和纬度编码各自的有效位数均为25位。
S506：将经度编码和纬度编码按照莫顿编码方式进行组合，得到待编码的地理位置信息对应的网格编码。也即将经度编码和纬度编码按照比特位进行交叠组合，得到待编码的地理位置信息对应的网格编码。
例如，假设经度编码为如图7A所示的a31a30a29….a1a0，维度编码为如图7A所示的b31b30b29….b1b0。则由经度编码和纬度编码按照莫顿编码方式进行组合得到的待编码的地理位置信息对应的网格编码为图7A所示的64位的网格编码。图7B示出了图7A所示的网格编码的详细信息，包括空间编号字段、分带编号字段、保留字段、版本号字段。其中，空间编号字段包含50比特位；分带编号字段包含9比特位；保留字段包含2比特位，便于网格编码扩展；版本号字段包含3比特位，方便网格编码后续扩展增强和版本演进的前后兼容。
下面将结合图8对本申请实施例提供的另一种网络数据分析方法进行详细介绍，图8示出了网规网优平台20、云平台30、终端设备100之间的另一种交互图。图8和图4的区别在于：图4所示的交互图中，是由终端设备100向云平台30上报终端设备100是采用终端设备厂商设置的网格编码方式，终端设备100和网规网优平台20均采用终端设备厂商设置的网格编码方式进行网格编码。而图8所示的交互图中，是由网规网优平台20向云平台30上报网规网优平台20是采用运营商设置的网格编码方式，终端设备100和网规网优平台20均采用运营商设置的网格编码方式进行网格编码。
具体地，图8所示的交互图包括以下各步骤：
S801：网规网优平台20采集无线侧业务数据。例如，网规网优平台20通过无线数据采集模块201采集无线侧业务数据，例如采集话统数据、测量报告(Measurement Report，MR)、呼叫历史报告(Call History Report，CHR)等无线侧业务数据。
S802：网规网优平台20基于采集的无线侧业务数据，确定出终端设备用户的原始位置信息。例如，网规网优平台20通过无线定位模块202利用无线数据采集模块201采集的无线侧业务数据，利用基站的工参数据(也即运营商的基站位置信息)，采用相关的算法，例如利用三角定位算法，确定出历史呼叫记录中多个终端设备用户的原始位置信息(用经纬度表示)。
S803：网规网优平台20采用运营商设置的网格编码方式，对确定出的终端设备用户的原始位置信息进行网格编码。例如，网规网优平台20采用运营商设置的如图5所示的网格编码方式，对确定出的终端设备用户的原始位置信息进行网格编码，得到无线侧网格编码结果。
S804：云平台30向网规网优平台20请求获取无线侧业务数据、无线侧网格编码结果、网格编码方式信息。其中，网格编码方式信息可以为运营商商配置的网格编码方式，还可以为运营商标识。
S805：网规网优平台20向云平台30返回无线侧业务数据、无线侧网格编码结果、网格编码方式 信息。
S806：云平台30保存接收到的无线侧业务数据、无线侧网格编码结果、网格编码方式信息。
S807：终端设备100向云平台30请求获取网规网优平台20上报的无线侧网格编码方式信息。
S808：云平台30向终端设备100返回网规网优平台20上报的无线侧网格编码方式信息。
例如，终端设备100通过终端数据上报模块150从云平台30获取网规网优平台20上报给云平台30的网格编码方式信息。
S809：终端设备100采集终端侧业务数据。例如，在终端设备100的通话或者上网过程中，终端设备100可以通过终端数据采集模块120采集用户通话或者上网过程中的通话质量、上网速率等关键质量指标(Key Quality Index，KQI)数据。也就是说S809在S808之后执行。
在一些实施例中，终端设备100还可以在向云平台30请求获取网规网优平台20上报的网格编码方式信息之前，采集终端侧业务数据。也就是说S809还可以在S807之前执行。本申请对终端设备100采集终端侧业务数据的时间节点不做限定。
S810：终端设备100定位出终端设备用户的原始位置信息。例如，终端设备100通过终端定位模块140定位出(例如通过GPS进行定位)终端设备用户在使用终端设备100进行通话或者上网过程中用户的原始位置信息(也是用经纬度表示)。
S811：终端设备100采用与上述接收到的网格编码方式信息对应的编码方式，对定位得到的终端设备用户的原始位置信息进行网格编码。
例如，终端设备100从云平台30获取的网格编码方式信息为运营商配置的网格编码方式，则终端设备100可以通过终端网格编码模块130，采用获取到的运营商商配置的网格编码方式，对终端定位模块140确定出的多个终端设备用户的原始位置信息进行网格编码，得到对应终端设备用户的原始位置信息的网格编码结果。
又如，终端设备100从云平台30获取的网格编码方式信息为运营商标识，则终端设备100根据该运营商标识，确定出运营商配置的网格编码方式，然后通过终端网格编码模块130，采用运营商配置的网格编码方式，对终端定位模块140确定出的多个终端设备用户的原始位置信息进行网格编码，得到对应终端设备用户的原始位置信息的网格编码结果。
S812：终端设备100向云平台30上报终端侧业务数据以及终端侧网格编码结果。
S813：云平台30以网格编码结果为关键字，对无线侧业务数据和终端侧业务数据进行协同分析。具体可参见图4中S413的相关描述，在此不再赘述。
S814：云平台30显示分析结果。具体可参见图4中S414的相关描述，在此不再赘述。
可以理解，上述步骤S801至步骤S812的执行顺序只是一种示意，在另一些实施例中，也可以采用其他执行顺序，还可以拆分或合并部分步骤，在此不做限定。
图9为本申请的一些实施例示出的一种终端设备100的硬件结构示意图。在图9中，相似的部件具有同样的附图标记。如图9所示，终端设备100可以包括处理器101、电源模块104、存储器180、摄像头170、移动通信模块103、无线通信模块105、传感器模块190、音频模块106、接口模块160以及显示屏102等。
处理器101可以包括一个或多个处理单元，例如，可以包括中央处理器(Central Processing Unit，CPU)、图像处理器(Graphics Processing Unit，GPU)、数字信号处理器(Digital Signal Processor，DSP)、微处理器(Micro-programmed Control Unit，MCU)、人工智能(Artificial Intelligence，AI)处理器或可编程逻辑器件(Field Programmable Gate Array，FPGA)等的处理模块或处理电路。其中，不同的处理单元可 以是独立的器件，也可以集成在一个或多个处理器中。例如，在本申请的一些实例中，处理器101可以用来采用终端设备厂商配置的网格编码方式，对定位得到的终端设备用户的原始位置信息进行网格编码。
存储器180可用于存储数据、软件程序以及模块，可以是易失性存储器(Volatile Memory)，例如随机存取存储器(Random-Access Memory，RAM)；或者非易失性存储器(Non-Volatile Memory)，例如只读存储器(Read-Only Memory，ROM)，快闪存储器(Flash Memory)，硬盘(Hard Disk Drive，HDD)或固态硬盘(Solid-State Drive，SSD)；或者上述种类的存储器的组合，或者也可以是可移动存储介质，例如安全数字(Secure Digital，SD)存储卡。具体的，存储器180内可存储程序代码，该程序代码用于使处理器101通过执行该程序代码，执行本申请实施例提供的网络数据分析方法。
电源模块104可以包括电源、电源管理部件等。电源可以为电池。电源管理部件用于管理电源的充电和电源向其他模块的供电。充电管理模块用于从充电器接收充电输入；电源管理模块用于连接电源，充电管理模块与处理器101。
移动通信模块103可以包括但不限于天线、功率放大器、滤波器、低噪声放大器(Low Noise Amplify，LNA)等。移动通信模块103可以提供应用在终端设备100上的包括2G/3G/4G/5G等无线通信的解决方案。移动通信模块103可以由天线接收电磁波，并对接收的电磁波进行滤波，放大等处理，传送至调制解调处理器进行解调。移动通信模块103还可以对经调制解调处理器调制后的信号放大，经天线转为电磁波辐射出去。在一些实施例中，移动通信模块103的至少部分功能模块可以被配置于处理器101中。在一些实施例中，移动通信模块103至少部分功能模块可以与处理器101的至少部分模块被配置在同一个器件中。
无线通信模块105可以包括天线，并经由天线实现对电磁波的收发。无线通信模块105可以提供应用在终端设备100上的包括无线局域网络(Wireless Local Area Networks，WLAN)(如无线保真(Wireless Fidelity，Wi-Fi)网络)，蓝牙(Bluetooth，BT)，全球导航卫星系统(Global Navigation Satellite System，GNSS)，调频(Frequency Modulation，FM)，近距离无线通信技术(Near Field Communication，NFC)，红外技术(Infrared，IR)等无线通信的解决方案。终端设备100可以通过无线通信技术与网络以及其他设备进行通信。
在一些实施例中，终端设备100的移动通信模块103和无线通信模块105也可以位于同一模块中。
摄像头170用于捕获静态图像或视频。物体通过镜头生成光学图像投射到感光元件。感光元件把光信号转换成电信号，之后将电信号传递给ISP(Image Signal Processor，图像信号处理器)转换成数字图像信号。终端设备100可以通过ISP，摄像头170，视频编解码器，GPU(Graphic Processing Unit，图形处理器)，显示屏102以及应用处理器等实现拍摄功能。
显示屏102包括显示面板。显示面板可以采用液晶显示屏(Liquid Crystal Display，LCD)，有机发光二极管(Organic Light-emitting Diode，OLED)，有源矩阵有机发光二极体或主动矩阵有机发光二极体(Active-matrix Organic Light-emitting Diode的，AMOLED)，柔性发光二极管(Flex Light-emitting Diode，FLED)，Mini LED，Micro LED，Micro OLED，量子点发光二极管(Quantum Dot Light-emitting Diodes，QLED)等。
传感器模块190可以包括接近光传感器、压力传感器，陀螺仪传感器，气压传感器，磁传感器，加速度传感器，距离传感器，指纹传感器，温度传感器，触摸传感器，环境光传感器，骨传导传感器等。
音频模块106可以将数字音频信息转换成模拟音频信号输出，或者将模拟音频输入转换为数字音频信号。音频模块106还可以用于对音频信号编码和解码。在一些实施例中，音频模块106可以配置于处理器101中，或将音频模块106的部分功能模块配置于处理器101中。在一些实施例中，音频模块106 可以包括扬声器、听筒、麦克风以及耳机接口。。
接口模块160包括外部存储器接口、通用串行总线(Universal Serial Bus，USB)接口及用户标识模块(Subscriber Identification Module，SIM)卡接口等。其中外部存储器接口可以用于连接外部存储卡，例如Micro SD卡，实现扩展终端设备100的存储能力。外部存储卡通过外部存储器接口与处理器101通信，实现数据存储功能。通用串行总线接口用于终端设备100和其他手机进行通信。用户标识模块卡接口用于与安装至终端设备100的SIM卡进行通信，例如读取SIM卡中存储的电话号码，或将电话号码写入SIM卡中。
在一些实施例中，终端设备100还包括按键、马达以及指示器等。其中，按键可以包括音量键、开/关机键等。马达用于使终端设备100产生振动效果。指示器可以包括激光指示器、射频指示器、LED指示器等。
可以理解的是，以上图9所示的硬件结构并不构成对终端设备100的具体限定。在本申请另一些实施例中，终端设备100可以包括比图9所示更多或更少的部件，或者组合某些部件，或者拆分某些部件，或者不同的部件布置。
本申请实施例还提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现可实现上述各个方法实施例中的步骤。
本申请实施例提供了一种计算机程序产品，当计算机程序产品在电子设备上运行时，使得电子设备执行时实现可实现上述各个方法实施例中的步骤。
本申请实施例还提供了一种电子设备，该电子设备包括：至少一个处理器、存储器以及存储在所述存储器中并可在所述至少一个处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现上述任意各个方法实施例中的步骤。
本申请公开的机制的各实施例可以被实现在硬件、软件、固件或这些实现方法的组合中。本申请的实施例可实现为在可编程系统上执行的计算机程序或程序代码，该可编程系统包括至少一个处理器、存储系统(包括易失性和非易失性存储器和/或存储元件)、至少一个输入设备以及至少一个输出设备。
可将程序代码应用于输入指令，以执行本申请描述的各功能并生成输出信息。可以按已知方式将输出信息应用于一个或多个输出设备。为了本申请的目的，处理系统包括具有诸如例如数字信号处理器(Digital Signal Processor，DSP)、微控制器、专用集成电路(Application Specific Integrated Circuit，ASIC)或微处理器之类的处理器的任何系统。
程序代码可以用高级程序化语言或面向对象的编程语言来实现，以便与处理系统通信。在需要时，也可用汇编语言或机器语言来实现程序代码。事实上，本申请中描述的机制不限于任何特定编程语言的范围。在任一情形下，该语言可以是编译语言或解释语言。
在一些情况下，所公开的实施例可以以硬件、固件、软件或其任何组合来实现。所公开的实施例还可以被实现为由一个或多个暂时或非暂时性机器可读(例如，计算机可读)存储介质承载或存储在其上的指令，其可以由一个或多个处理器读取和执行。例如，指令可以通过网络或通过其他计算机可读介质分发。因此，机器可读介质可以包括用于以机器(例如，计算机)可读的形式存储或传输信息的任何机制，包括但不限于，软盘、光盘、光碟、只读存储器(CD-ROMs)、磁光盘、只读存储器(Read Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、可擦除可编程只读存储器(Erasable Programmable Read Only Memory，EPROM)、电可擦除可编程只读存储器(Electrically Erasable Programmable Read-Only Memory，EEPROM)、磁卡或光卡、闪存、或用于利用因特网以电、光、声或其他形式的传播信号来传输信息(例如，载波、红外信号数字信号等)的有形的机器可读存储器。因此， 机器可读介质包括适合于以机器(例如计算机)可读的形式存储或传输电子指令或信息的任何类型的机器可读介质。
在附图中，可以以特定布置和/或顺序示出一些结构或方法特征。然而，应该理解，可能不需要这样的特定布置和/或排序。而是，在一些实施例中，这些特征可以以不同于说明性附图中所示的方式和/或顺序来布置。另外，在特定图中包括结构或方法特征并不意味着暗示在所有实施例中都需要这样的特征，并且在一些实施例中，可以不包括这些特征或者可以与其他特征组合。
需要说明的是，本申请各设备实施例中提到的各单元/模块都是逻辑单元/模块，在物理上，一个逻辑单元/模块可以是一个物理单元/模块，也可以是一个物理单元/模块的一部分，还可以以多个物理单元/模块的组合实现，这些逻辑单元/模块本身的物理实现方式并不是最重要的，这些逻辑单元/模块所实现的功能的组合才是解决本申请所提出的技术问题的关键。此外，为了突出本申请的创新部分，本申请上述各设备实施例并没有将与解决本申请所提出的技术问题关系不太密切的单元/模块引入，这并不表明上述设备实施例并不存在其它的单元/模块。
需要说明的是，在本专利的示例和说明书中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
虽然通过参照本申请的某些优选实施例，已经对本申请进行了图示和描述，但本领域的普通技术人员应该明白，可以在形式上和细节上对其作各种改变，而不偏离本申请的精神和范围。

Claims (14)

  1. 一种网络数据分析方法，应用于电子设备，其特征在于，所述方法包括：
    从第一电子设备获取第一网格编码数据和第一业务数据；
    向第二电子设备发送所述第一网格编码数据的网格编码方式信息，其中，所述第一电子设备与所述第二电子设备使用不同的接入方式接入网络；
    接收所述第二电子设备发送的与所述第一网格编码数据对应的第二网格编码数据，以及与所述第一业务数据对应的第二业务数据，其中，所述第二网格编码数据是所述第二电子设备根据所述编码方式信息，采用与所述第一网格编码数据相同的编码方式编码得到的；
    基于所述第一网格编码数据和/或所述第二网格编码数据，对所述第一业务数据以及所述第二业务数据进行分析。
  2. 根据权利要求1所述的方法，其特征在于，所述编码方式信息为所述第一网格编码数据的编码方式，
    所述向第二电子设备发送与所述第一网格编码数据的网格编码方式信息，包括：
    从所述第一电子设备获取到所述第一网格编码数据的编码方式；
    向所述第二电子设备转发获取到的所述第一网格编码数据的编码方式。
  3. 根据权利要求1所述的方法，其特征在于，所述编码方式信息为所述第一电子设备的厂商标识或运营商标识，所述向第二电子设备发送与所述第一网格编码数据的网格编码方式相关的编码方式信息，包括：
    从所述第一电子设备获取到所述第一电子设备的厂商标识或运营商标识；
    根据获取到的所述厂商标识或运营商标识，确定出所述第一电子设备的第一网格编码数据的编码方式；
    向所述第二电子设备转发确定出的所述第一网格编码数据的编码方式。
  4. 根据权利要求1所述的方法，其特征在于，所述编码方式信息为所述第一电子设备的厂商标识或运营商标识，并且
    所述向第二电子设备发送与所述第一网格编码数据的网格编码方式相关的编码方式信息，包括：
    从所述第一电子设备获取到所述第一电子设备的厂商标识或运营商标识；
    向所述第二电子设备转发获取到的所述厂商标识或运营商标识，以便于根据所述厂商标识或运营商标识获取所述第一电子设备的第一网格编码数据的编码方式。
  5. 根据权利要求1至4中任一项所述的方法，其特征在于，所述第一网格编码数据是由所述第一电子设备通过以下方式编码得到的：
    所述第一电子设备采集所述第一业务数据，并且确定出所述第一业务数据对应的第一用户位置数据；
    所述第一电子设备采用所述第一网格编码方式，对确定出的所述第一用户位置数据进行网格编码，得到所述第一网格编码数据。
  6. 根据权利要求5所述的方法，其特征在于，
    所述第一电子设备采用第一网格编码方式，对确定出的所述第一用户位置数据进行网格编码，得到所述第一网格编码数据，包括：
    所述第一电子设备确定出所述第一用户位置数据在地理空间中对应的纬度分带的中心纬度，其中，所述纬度分带是基于设定的分带划分方法对地理空间划分得到的；
    所述第一电子设备基于所述中心纬度确定出所述第一用户位置数据对应的第一分带系数；
    所述第一电子设备根据确定出来的所述第一用户位置数据以及所述第一分带系数，计算出所述第一用户位置数据对应的第一调整位置数据；
    所述第一电子设备将所述第一调整位置数据对应的经度和纬度分别进行量化，得到所述第一调整位置数据对应的第一经度编码和第一纬度编码；
    所述第一电子设备将所述第一经度编码和所述第一纬度编码按照莫顿编码方式进行组合，得到所述第一用户位置数据对应的第一网格编码数据。
  7. 根据权利要求6所述的方法，其特征在于，所述第二网格编码数据是由第二电子设备通过以下方式编码得到的：
    所述第二电子设备从所述第一电子设备接收所述编码方式信息，并且根据所述编码方式信息确定出采用所述第一网格编码方式进行网格编码；
    所述第二电子设备采集第二业务数据，并且确定出所述第二业务数据对应的第二用户位置数据；
    所述第二电子设备采用所述第一网格编码方式，对确定出的所述第二用户位置数据进行网格编码，得到所述第二网格编码数据。
  8. 根据权利要求7所述的方法，其特征在于，所述第二电子设备采用所述第一网格编码方式，对确定出的所述第二用户位置数据进行网格编码，得到所述第二网格编码数据，包括：
    所述第二电子设备确定出所述第二用户位置数据在地理空间中对应的纬度分带的中心纬度，其中，所述纬度分带是基于设定的分带划分方法对地理空间划分得到的；
    所述第二电子设备基于所述中心纬度确定出所述第二用户位置数据对应的第二分带系数；
    所述第二电子设备根据确定出来的所述第二用户位置数据以及所述第二分带系数，计算出所述第二用户位置数据对应的第二调整位置数据；
    所述第二电子设备将所述第二调整位置数据对应的经度和纬度分别进行量化，得到所述第二调整位置数据对应的第二经度编码和第二纬度编码；
    所述第二电子设备将所述第二经度编码和所述第二纬度编码按照莫顿编码方式进行组合，得到所述第二用户位置数据对应的第二网格编码数据。
  9. 根据权利要求1至8中任一项所述的方法，其特征在于，所述基于所述第一网格编码数据和/或所述第二网格编码数据，对所述第一业务数据以及所述第二业务数据进行分析，包括：
    基于所述第一网格编码数据，对所述第一业务数据以及所述第二业务数据进行分析，或者
    基于所述第二网格编码数据，对所述第一业务数据以及所述第二业务数据进行分析。
  10. 根据权利要求9所述的方法，其特征在于，所述第一业务数据包括关键质量指标(Key Quality Index，KQI)数据，所述第二业务数据包括话统数据、呼叫历史报告、测量报告中的一种或多种；或者
    所述第一业务数据包括话统数据、呼叫历史报告、测量报告中的一种或多种，所述第二业务数据包括关键质量指标(Key Quality Index，KQI)数据。
  11. 根据权利要求1至10中任一项所述的方法，其特征在于，所述第一电子设备为运营商设备，所述第二电子设备为用户终端设备；或者
    所述第一电子设备为用户终端设备，所述第二电子设备为运营商设备。
  12. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质上存储有指令，该指令在电子设备上执行时使电子设备执行权利要求1-11中任一项所述的网络数据分析方法。
  13. 一种计算机程序产品，其特征在于，所述计算机程序产品包括指令，所述指令当被一个或多个处理器执行时用于实现如权利要求1-11中任一项所述的网络数据分析方法。
  14. 一种电子设备，其特征在于，包括：
    存储器，用于存储指令，以及
    一个或多个处理器，用于执行所述存储器中存储的指令，当所述指令被所述一个或多个处理器执行时，使得所述电子设备执行如权利要求1-11中任一项所述的网络数据分析方法。
PCT/CN2022/138421 2022-03-18 2022-12-12 网络数据分析方法、可读介质和电子设备 WO2023173845A1 (zh)

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