CN109768886B - Network planning evaluation method and device - Google Patents
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Abstract
The application discloses a network planning evaluation method and device, relates to the technical field of communication, and is used for scoring and sequencing grids from multiple evaluation dimensions and determining planning requirements of the grids according to priority sequencing, so that the accuracy of determining the network planning requirements is improved, and the waste of investment is reduced. The method comprises the following steps: acquiring optical splitter information and grid information of optical splitters within a preset network range; establishing a corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid; acquiring basic data of the grids according to the splitter information corresponding to the grids; determining each evaluation dimension of the grid according to the basic data of the grid, and scoring each evaluation dimension of the grid; and obtaining the scores of the grids according to the scoring results of the evaluation dimensions of the grids, further obtaining the priority sequence of each grid according to the scores of each grid in a preset network range, and sequentially determining the planning requirements of the grids according to the priority sequence.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating a network plan.
Background
With the development of mobile communication technology, the cost is continuously reduced, and more wireless users select broadband and mobile phone binding, namely, fixed-mobile integrated service. Under the background, how to establish a station to guarantee the user experience in a fixed network and a mobile network is important.
The existing station building process analyzes the extracted background data to confirm whether to build a station. However, in the existing station building process, the fixed network building and the mobile network building are independent from each other, so when a new station is built to cover as many fixed and mobile convergence users as possible, accuracy of determining network planning requirements may be reduced, and further investment waste may be caused.
Disclosure of Invention
The application provides a network planning evaluation method and device, which can score and sort grids from multiple evaluation dimensions, and determine planning requirements of the grids according to priority sorting, so that the accuracy of determining the network planning requirements is improved, and the waste of investment is reduced.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, the present application provides a method for evaluating a network plan, where the method includes:
the method comprises the steps of obtaining optical splitter information and grid information of an optical splitter within a preset network range, wherein the optical splitter information comprises identification of the optical splitter and longitude and latitude of the optical splitter, the grid information comprises grid positions and grid areas, and the grid positions correspond to the grid areas one to one.
And establishing a corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid.
Acquiring basic data of the grid according to optical splitter information corresponding to the grid, wherein the optical splitter information also comprises a service type ordered by a user of the optical splitter; the basic data comprises the number of users of each service type and income data.
And determining the total income, the total number of fixed network users and the fixed-mobile fusion rate of the grid according to the basic data, wherein the fixed-mobile fusion rate is the number of fixed-mobile fusion users/the total number of fixed network users, and the number of fixed-mobile fusion users is the number of users subscribing the fixed network and mobile network fusion services.
And determining the fixed network user density of the grid according to the total number of the fixed network users of the grid and the area of the grid.
Scoring each evaluation dimension of the grid, and acquiring the score of the grid according to the scoring result of each evaluation dimension; the evaluation dimensions include: the total number of fixed network users, the density of fixed network users, the fixed-mobile convergence rate and the total income.
And obtaining the priority sequence of each grid according to the grade of each grid in the preset network range.
And sequentially determining the planning requirements of the grids according to the priority sequence.
The embodiment of the application provides a network planning evaluation method, which is used for acquiring optical splitter information and grid information of optical splitters in a preset network range. And establishing a corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid. And acquiring basic data of the grid according to the splitter information corresponding to the grid. And determining each evaluation dimension of the grid according to the basic data of the grid, and scoring each evaluation dimension of the grid. And obtaining the scores of the grids according to the scoring results of the evaluation dimensions of the grids, further obtaining the priority sequence of each grid according to the scores of each grid in a preset network range, and sequentially determining the planning requirements of the grids according to the priority sequence. The method and the device can score and sort the grids from a plurality of evaluation dimensions, and determine the planning requirements of the grids according to the priority sorting, so that the accuracy rate of determining the network planning requirements is improved, the waste of investment is reduced, and the method and the device have important theoretical significance and practical application value.
In a second aspect, the present application provides a network planning evaluation apparatus, including:
the system comprises an acquisition unit and a network management unit, wherein the acquisition unit is used for acquiring optical splitter information and grid information of an optical splitter within a predetermined network range, the optical splitter information comprises an identifier of the optical splitter and longitude and latitude of the optical splitter, the grid information comprises a grid position and a grid area, and the grid position corresponds to the grid area one by one.
And the processing unit is used for establishing the corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid, which are acquired by the acquisition unit.
The acquiring unit is further configured to acquire basic data of the grid according to the corresponding relationship between the optical splitter and the grid, which is established by the processing unit, and by combining the optical splitter information corresponding to the grid, which is acquired by the acquiring unit; the splitter information also includes the service type subscribed by the user of the splitter; the basic data comprises the number of users of each service type and income data.
And the determining unit is used for determining the total income of the grid, the total number of fixed network users and the fixed-mobile convergence rate according to the basic data acquired by the acquiring unit, wherein the fixed-mobile convergence rate is a fixed-mobile convergence user number/a fixed network user number, and the fixed-mobile convergence user number is a user number for ordering the fixed network and the mobile network convergence service.
The determining unit is further configured to determine the fixed network user density of the grid according to the total number of fixed network users of the grid and the area of the grid acquired by the acquiring unit.
The processing unit is further configured to score each evaluation dimension of the grid determined by the determining unit; the evaluation dimensions include: the total number of fixed network users, the density of fixed network users, the fixed-mobile convergence rate and the total income.
The obtaining unit is further configured to obtain scores of the grids according to the scoring results of the evaluation dimensions obtained by the processing unit.
The obtaining unit is further configured to obtain a priority ranking of each grid according to the score of each grid within the predetermined network range, which is obtained by the obtaining unit.
The determining unit is further configured to determine the planning requirement of the grid according to the priority ranking acquired by the acquiring unit.
In a third aspect, the present application provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the network plan evaluation method of the first aspect and any of its various alternative implementations.
In a fourth aspect, the present application provides a computer program product comprising instructions that, when run on a computer, cause the computer to perform the network plan evaluation method of the first aspect and any of its various alternative implementations.
In a fifth aspect, the present application provides a network planning evaluation apparatus, including: a processor, a memory, and a communication interface. Wherein the communication interface is adapted to communicate with other devices or a communication network, and the memory is adapted to store one or more programs, the one or more programs including computer executable instructions, which when executed by the apparatus, the processor executes the computer executable instructions stored in the memory to cause the apparatus to perform the network planning evaluation method according to any one of the first aspect and its various alternative implementations.
It should be understood that any one of the above-mentioned network planning evaluation devices, computer program products, and computer readable storage media is used for executing the above-mentioned network planning evaluation method, so that the beneficial effects achieved by the above-mentioned network planning evaluation device can refer to the beneficial effects of the above-mentioned method of the first aspect and the corresponding solutions in the following detailed description, and are not repeated herein.
Drawings
Fig. 1 is a first schematic structural diagram of a broadband network according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a broadband network structure provided in the embodiment of the present application;
fig. 3 is a schematic diagram of a network planning evaluation method provided in an embodiment of the present application;
fig. 4 is a schematic diagram of a first network planning evaluation apparatus provided in an embodiment of the present application;
fig. 5 is a schematic diagram of a network planning evaluation apparatus according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a network planning evaluation method and a network planning evaluation device, which are mainly applied to a broadband network comprising Optical splitters, wherein the broadband network comprises Optical Line unit (OLT) equipment, the Optical splitters and user side Optical Network Units (ONU).
The optical splitter, also called an optical splitter, is located in an optical cross-connect box or an optical fiber box, is a passive device for connecting a local broadband access layer OLT device and a user side ONU, and has a plurality of input ends and output ends, and couples, branches and distributes optical signals to realize distribution and concentration of data. The OLT equipment is positioned in the communication machine room and used for connecting the user side ONU through the optical splitter and carrying out data transmission so as to realize the functions of controlling, managing, ranging and the like on the user side ONU. The user-side ONU, also commonly referred to as optical modem, is an optical transmission network connection device, and is connected to the optical splitter through a rubber-insulated optical cable.
In a broadband network, a beam splitter is taken as a unit, broadband port resources and beam splitter information are recorded into a resource management system, and a user can extract the broadband port resources from the resource management system through the beam splitter, wherein the broadband port resources comprise broadband port occupation conditions, user quantity, user broadband installation positions, cell broadband quantity and related user side information.
An exemplary broadband network structure is shown in fig. 1, and is suitable for a business and a rural scene, and is a first-level optical splitting mode, and includes an OLT device 101, an optical splitter 102, and a user-side ONU103, where the OLT device 101 may be connected to multiple optical splitters 102, and the user-side ONU103 includes n user-side ONUs.
The OLT apparatus 101 in the communication room transmits data to the optical splitter 102 in the optical cross-connect box or the optical fiber box through an optical cable, and the optical splitter 102 in the optical cross-connect box retransmits the data to the user-side ONU103 through a rubber-insulated optical cable.
Illustratively, a broadband network structure is shown in fig. 2, which is suitable for residential cells, and is in a two-stage optical splitting mode, and includes an OLT apparatus 201, a first-stage optical splitter 202, a second-stage optical splitter 203, and a user-side ONU 204. The second-level optical splitter 203 is installed in a corridor or a light current room, the OLT apparatus 201 may be connected to a plurality of first-level optical splitters 202, one first-level optical splitter 202 may be connected to a plurality of second-level optical splitters 203, and the user-side ONU204 includes n user-side ONUs.
The OLT device 201 in the communication room transmits data to the primary optical splitter 202 in the optical cross-connect box or the optical fiber distribution box through an optical cable, and then transmits the data to the secondary optical splitter 203 in the optical fiber distribution box through the optical cable, and the secondary optical splitter 203 in the optical fiber distribution box retransmits the data to the user-side ONU204 through a rubber-insulated-wire optical cable.
Embodiments of the present application provide a method and an apparatus for evaluating network planning, where the method may be applied to a broadband network including optical splitters as shown in fig. 1-2, and an execution subject of the method is a computer device, such as a server. As shown in fig. 3, the method includes steps S301 to S308:
s301, optical splitter information and grid information of optical splitters in a preset network range are obtained.
The optical splitter information comprises the identifier of the optical splitter and the longitude and latitude of the optical splitter, the grid information comprises the position of a grid and the area of the grid, and the position of the grid corresponds to the area of the grid one to one.
Optionally, in one possible implementation, the predetermined network range may be a jurisdiction of a province, a jurisdiction of a city, or one or more communication devices.
For example, the predetermined network range may be a coverage range of one or more base stations, or n grids to be considered, where a value of n may be any value greater than 1, such as 2, 3, 4, 5, and the like.
S302, establishing a corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid.
Illustratively, the predetermined network range is 5 grids under consideration, grid 1, grid 2, grid 3, grid 4, and grid 5, respectively. The obtained identifiers of the optical splitters in the optical splitter information are A, B, C, D, E respectively, and the corresponding relationship between the optical splitters and the grids is established according to the longitude and latitude of the optical splitters and the positions of the grids as follows: grid 1 corresponds to the identifier a of the optical splitter, grid 2 corresponds to the identifier B of the optical splitter, grid 3 corresponds to the identifier C of the optical splitter, grid 4 corresponds to the identifier D of the optical splitter, and grid 5 corresponds to the identifier E of the optical splitter.
And S303, acquiring basic data of the grids according to the splitter information corresponding to the grids.
The information of the optical splitter comprises the longitude and latitude of the optical splitter, the identifier of the optical splitter and the service type ordered by a user of the optical splitter; the basic data comprises the number of users of each service type and income data; the number of users of each service type comprises a single-width user number, a 100M broadband user number, an IPTV user number, a fixed-mobile convergence user number and other fixed-network service type user numbers; the revenue data includes broadband fees and consolidated and mobile fees.
Optionally, in a possible implementation manner, the database stores basic data of all fixed networks and mobile networks, that is, all fixed networks and mobile networks. According to the corresponding relationship between the optical splitters and the grids established in step S302, all the optical splitter information corresponding to the grids within a predetermined range is extracted from the database by using the identifiers of the optical splitters, and then the basic data for the corresponding grids is acquired according to the optical splitter information.
And S304, determining the total income of the grid, the total number of fixed network users and the fixed-mobile fusion rate according to the basic data.
The total income is broadband expense + fixed-mobile convergence expense, the total number of fixed-network users is single-broadband user number +100M broadband user number + IPTV user number + fixed-mobile convergence user number + other fixed-network service type user numbers, the fixed-mobile convergence rate is fixed-mobile convergence user number/fixed-network user number, and the fixed-mobile convergence user number is the user number for ordering the fixed-network and mobile-network convergence service.
S305, determining the fixed network user density of the grid according to the total number of the fixed network users of the grid and the area of the grid.
The fixed network user density of the grid is the total fixed network user number of the grid/the area of the grid.
S306, scoring each evaluation dimension of the grid, and obtaining the score of the grid according to the scoring result of each evaluation dimension.
The evaluation dimension comprises the total number of fixed network users, the density of fixed network users, the fixed-mobile fusion rate and the total income.
Optionally, in a possible implementation manner, the four evaluation dimensions of the grid, including the total number of users in the fixed network, the density of users in the fixed network, the fusion rate of the fixed network and the mobile network, and the total income are scored. And setting a preset weight according to the importance of the four evaluation dimensions in the fixed-mobile convergence service, and carrying out weighted summation on the scoring results of the 4 evaluation dimensions according to the preset weight to obtain the scoring of the grid.
Illustratively, the predetermined network range is 5 grids under consideration, grid 1, grid 2, grid 3, grid 4, and grid 5, respectively. Setting the total number of users in the fixed network as an evaluation dimension 1, the density of the users in the fixed network as an evaluation dimension 2, the fusion rate of the fixed network and the mobile network as an evaluation dimension 3, and the total income as an evaluation dimension 4. And (4) scoring of 4 evaluation dimensions is carried out on 5 grids within a preset network range, and the scores of the grids are obtained.
For the evaluation dimension 1, the total number of the fixed network users of the grids 1 to 5 in the predetermined network range is a1, a2, a3, a4 and a5, respectively, wherein the total number a1 of the fixed network users of the grid 1 is the maximum, and the scoring results of the 5 grids in the evaluation dimension 1 are as follows:
grid 1 has a score of a 1-100 in evaluation dimension 1;
grid 2 scored a2 ═ (a2/a1) × 100 in evaluation dimension 1;
grid 3 scored a3 ═ (a3/a1) × 100 in evaluation dimension 1;
grid 4 scored a4 ═ (a4/a1) × 100 in evaluation dimension 1;
grid 5 scored a5 ═ (a5/a1) × 100 in evaluation dimension 1.
For the evaluation dimension 2, the fixed-net user densities of the grids 1 to 5 within the predetermined network range are b1, b2, b3, b4 and b5, respectively, wherein the fixed-net user density b2 of the grid 2 is the maximum, and the scoring results of the 5 grids in the evaluation dimension 2 are as follows:
grid 1 scored B1 ═ (B1/B2) × 100 in evaluation dimension 2;
the score of grid 2 in evaluation dimension 2 is B2-100;
grid 3 scored B3 ═(B3/B2) × 100 in evaluation dimension 2;
grid 4 scored B4 ═(B4/B2) × 100 in evaluation dimension 2;
grid 5 scored B5 ═ 100 (B5/B2) in evaluation dimension 2.
For the evaluation dimension 3, the solid-moving fusion rates of grids 1 to 5 within the predetermined network range are c1, c2, c3, c4 and c5, respectively, wherein the solid-moving fusion rate c3 of the grid 3 is the maximum, and the scoring results of the 5 grids in the evaluation dimension 3 are as follows:
grid 1 scored C1 ═ (C1/C3) × 100 in evaluation dimension 3;
grid 2 scored C2 ═ (C2/C3) × 100 in evaluation dimension 3;
the score of grid 3 in evaluation dimension 3 is C3-100;
grid 4 scored C4 ═ (C4/C3) × 100 in evaluation dimension 3;
grid 5 scored C5 ═ 100 (C5/C3) in evaluation dimension 3.
For evaluation dimension 4, the total revenue of grid 1 to grid 5 within the predetermined network range is d1, d2, d3, d4 and d5, respectively, wherein the total revenue d4 of grid 4 is the largest, and the scoring results for these 5 grids in evaluation dimension 4 are as follows:
grid 1 scored D1 ═ (D1/D4) × 100 in evaluation dimension 4;
grid 2 scored D2 ═(D2/D4) × 100 in evaluation dimension 4;
grid 3 scored D3 ═(D3/D4) × 100 in evaluation dimension 4;
the score of grid 4 in evaluation dimension 4 is D4-100;
grid 5 scored D5 ═ 100 (D5/D4) in evaluation dimension 4.
According to the importance of the four evaluation dimensions in the fixed-mobile convergence service, the preset weights of the evaluation dimensions 1-5 are set to be 0.3, 0.2 and 0.2 respectively, and then the scores of each grid are as follows:
grid 1 total score T1 ═ a1 × 0.3+ B1 × 0.3+ C1 × 0.2+ D1 × 0.2;
grid 2 total score T2 ═ a2 × 0.3+ B2 × 0.3+ C2 × 0.2+ D2 × 0.2;
grid 3 total score T3 ═ A3 × 0.3+ B3 × 0.3+ C3 × 0.2+ D3 × 0.2;
grid 4 total score T4 ═ a4 × 0.3+ B4 × 0.3+ C4 × 0.2+ D4 × 0.2;
grid 5 total T5 ═ a5 × 0.3+ B5 × 0.3+ C5 × 0.2+ D5 × 0.2.
S307, acquiring the priority sequence of each grid according to the scores of each grid in the preset network range.
Illustratively, five grids within the predetermined network range are grid 1, grid 2, grid 3, grid 4 and grid 5, the scores of grid 1-grid 5 are T1, T2, T3, T4 and T5, and T1-T5 are sorted from small to large as T2, T1, T3, T4 and T5, so the priorities of the 5 grids are from high to low: grid 2, grid 1, grid 3, grid 4, grid 5.
And S308, sequentially determining the planning requirements of the grids according to the priority sequence.
Optionally, in a possible implementation manner, the scoring results of each evaluation dimension of the high-priority grid are preferentially analyzed according to the order of the priorities from high to low. And sequencing the scoring results of all evaluation dimensions of the grids, and analyzing the grids according to the sequence of the scoring results from low to high.
The total income in the evaluation dimension is strongly related to the total number of users in the fixed network, the density of the users in the fixed network and the fusion rate of the fixed network and the mobile network, and if the scores of the latter three are low, the score of the total income in the evaluation dimension is also very low, so that the grid does not need to be analyzed according to the scoring result of the total income in the evaluation dimension.
Illustratively, five grids within the predetermined network range are grid 1, grid 2, grid 3, grid 4 and grid 5, and the priority of these 5 grids is, in order from high to low: grid 2, grid 1, grid 3, grid 4, and grid 5, then grid 2 is analyzed first.
And (3) the scoring results of three evaluation dimensions of the total number of fixed network users, the density of fixed network users and the fixed-mobile fusion rate of the grid 2 are respectively the total number of fixed network users, the density of fixed network users and the fixed-mobile fusion rate from low to high, and then the grid 2 is analyzed according to the sequence of the total number of fixed network users, the density of fixed network users and the fixed-mobile fusion rate.
And if the scoring result of the total number of the fixed network users of the grid 2 is lower than a first preset threshold, determining the fixed network of the grid 2, namely the fixed network users are few, and the user expansion requirement or the fixed network fault detection requirement is met.
And if the scoring result of the fixed network user density of the grid 2 is lower than a second preset threshold, determining that the fixed network users of the grid 2 are few, and meeting the user expansion requirement or the fixed network fault detection requirement.
And if the scoring result of the fixed-moving fusion rate of the grid is lower than a third preset threshold, determining the mobile network of the grid 2, namely less mobile network users and meeting the expansion requirement of the mobile network users.
In addition, if each evaluation dimension score of the grid 2 is higher than a preset threshold, it indicates that the grid fixed network user number is equivalent to the grid mobile network user number, and the fixed-mobile convergence service is well developed. The wireless coverage index of the grid 2 needs to be extracted for analysis, and if the wireless coverage index is lower than a preset threshold, the grid 2 has a requirement for newly building an LTE base station so as to solve the coverage problem.
The priorities of the 5 grids within the predetermined network range are, from high to low: grid 2, grid 1, grid 3, grid 4, grid 5, so after completing the analysis of grid 2, grid 1, grid 3, grid 4, grid 5 are analyzed in the same way in turn.
Optionally, in another possible implementation manner, if the scoring result of the fixed-moving fusion rate of the mesh is lower, the wireless coverage index of the mesh is obtained to determine whether the mesh has a requirement for a new base station.
For example, if the scoring result of the fixed-moving fusion rate of the grid is lower than the third preset threshold, the mobile network of the grid is determined, that is, the number of mobile network users is small. And acquiring a wireless coverage index of the grid, and if the wireless coverage index is lower than a preset threshold, determining that the grid has the requirement of newly building a base station.
The embodiment of the application provides a network planning evaluation method, which is used for acquiring optical splitter information and grid information of optical splitters in a preset network range. And establishing a corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid. And acquiring basic data of the grid according to the splitter information corresponding to the grid. And determining each evaluation dimension of the grid according to the basic data of the grid, and scoring each evaluation dimension of the grid. And obtaining the scores of the grids according to the scoring results of the evaluation dimensions of the grids, further obtaining the priority sequence of each grid according to the scores of each grid in a preset network range, and sequentially determining the planning requirements of the grids according to the priority sequence. The method and the device can score and sort the grids from a plurality of evaluation dimensions, and determine the planning requirements of the grids according to the priority sorting, so that the accuracy rate of determining the network planning requirements is improved, the investment waste is reduced, and the method and the device have important theoretical significance and practical application value.
The embodiment of the application provides a network planning evaluation device which can be used for executing the network planning evaluation method. As shown in fig. 4, the network planning evaluating apparatus includes an obtaining unit 401, a processing unit 402, and a determining unit 403:
the acquiring unit 401 is configured to acquire splitter information and grid information of a splitter within a predetermined network range, where the splitter information includes an identifier of the splitter and a longitude and latitude of the splitter, the grid information includes a grid position and a grid area, and the grid position corresponds to the grid area one to one.
A processing unit 402, configured to establish a corresponding relationship between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid, which are acquired by the acquiring unit 401;
the obtaining unit 401 is further configured to obtain basic data of the grid according to the corresponding relationship between the optical splitter and the grid, which is established by the processing unit 402, and by combining the optical splitter information corresponding to the grid, which is obtained by the obtaining unit; the splitter information also includes the service type subscribed by the user of the splitter; the basic data comprises the number of users of each service type and income data.
A determining unit 403, configured to determine, according to the basic data acquired by the acquiring unit 402, a total revenue of the grid, a total number of users in the fixed network, and a fixed-mobile convergence rate, where the fixed-mobile convergence rate is a fixed-mobile convergence user number/a total number of users in the fixed network, and the fixed-mobile convergence user number is a number of users subscribing to a fixed network and a mobile network convergence service.
The determining unit 403 is further configured to determine the fixed network user density of the grid according to the total number of fixed network users of the grid and the area of the grid acquired by the acquiring unit 401;
the processing unit 402 is further configured to score each evaluation dimension of the grid determined by the determining unit 403; the evaluation dimensions include: the total number of fixed network users, the density of fixed network users, the fixed-mobile convergence rate and the total income.
The obtaining unit 401 is further configured to obtain scores of the grids according to the scoring results of the evaluation dimensions obtained by the processing unit 402.
Optionally, the obtaining unit 401 is further specifically configured to perform weighted summation on the scoring results of the evaluation dimensions according to a preset weight, and obtain the score of the grid.
The obtaining unit 401 is further configured to obtain a priority ranking of each grid according to the score of each grid within the predetermined network range, which is obtained by the obtaining unit 402.
The determining unit 402 is further configured to determine the planning requirement of the grid according to the priority ranking acquired by the acquiring unit 401.
Optionally, the determining unit 402 is further specifically configured to determine that the grid has a fixed network user expansion requirement or a fixed network fault detection requirement if the scoring result of the total number of fixed network users of the grid, obtained by the processing unit 402, is lower than a first preset threshold; if the scoring result of the density of the fixed network users of the grid obtained by the processing unit 402 is lower than a second preset threshold, determining that the grid has a fixed network user expansion requirement or a fixed network fault detection requirement; if the scoring result of the grid fixed-mobile fusion rate obtained by the processing unit 402 is lower than a third preset threshold, it is determined that the grid has the mobile network user expansion requirement.
Optionally, the determining unit 402 is further specifically configured to, if the scoring result of the fusion rate of the grid obtained by the processing unit is lower than a third preset threshold, obtain a wireless coverage index of the grid, and if the wireless coverage index is lower than a preset threshold, determine that the grid has a requirement for creating a new base station.
The embodiment of the application provides a network planning evaluation device, which is used for acquiring optical splitter information and grid information of optical splitters in a preset network range. And establishing a corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid. And acquiring basic data of the grid according to the splitter information corresponding to the grid. And determining each evaluation dimension of the grid according to the basic data of the grid, and scoring each evaluation dimension of the grid. And obtaining the scores of the grids according to the scoring results of the evaluation dimensions of the grids, further obtaining the priority sequence of each grid according to the scores of each grid in a preset network range, and sequentially determining the planning requirements of the grids according to the priority sequence. The method and the device can score and sort the grids from a plurality of evaluation dimensions, and determine the planning requirements of the grids according to the priority sorting, so that the accuracy rate of determining the network planning requirements is improved, the investment waste is reduced, and the method and the device have important theoretical significance and practical application value.
An embodiment of the present application provides a network planning evaluation apparatus, as shown in fig. 5, the apparatus includes: a processor 501 and a communication interface 502, the processor 501 being used for control management of the actions of the device, and/or for performing other processes of the techniques described herein. The communication interface 502 is used to support communication of the device with other network entities. The apparatus may further comprise a memory 503 and a bus 504, the memory 503 being arranged to store program codes and data of the apparatus.
The processor 501 (or alternatively described as a controller) may implement or execute various exemplary logical blocks, unit modules, and circuits described in connection with the disclosure herein. The processor or controller may be a central processing unit, general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, unit modules, and circuits described in connection with the disclosure herein. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others.
The communication interface 502 may be a transceiver circuit.
The bus 504 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 504 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
It is clear to those skilled in the art from the foregoing description of the embodiments that, for convenience and simplicity of description, the foregoing division of the functional units is merely used as an example, and in practical applications, the above function distribution may be performed by different functional units according to needs, that is, the internal structure of the device may be divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
Embodiments of the present application also provide a computer program product comprising instructions that, when executed on a computer, cause the computer to perform the network planning evaluation method.
Embodiments of the present application provide a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the network plan evaluation method.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a register, a hard disk, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, any suitable combination of the above, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for evaluating network planning, the method comprising:
acquiring optical splitter information and grid information of an optical splitter within a preset network range, wherein the optical splitter information comprises an identifier of the optical splitter and longitude and latitude of the optical splitter, the grid information comprises a grid position and a grid area, and the grid position corresponds to the grid area one by one;
establishing a corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid;
acquiring basic data of the grid according to optical splitter information corresponding to the grid, wherein the optical splitter information also comprises a service type ordered by a user of the optical splitter; the basic data comprises the number of users of each service type and income data;
determining the total income, the total number of fixed network users and a fixed-mobile fusion rate of the grid according to the basic data, wherein the fixed-mobile fusion rate is a fixed-mobile fusion user number/the total number of fixed network users, and the fixed-mobile fusion user number is a user number for ordering a fixed network and mobile network fusion service;
determining the fixed network user density of the grid according to the total number of the fixed network users of the grid and the area of the grid;
scoring each evaluation dimension of the grid, and acquiring the score of the grid according to the scoring result of each evaluation dimension; the evaluation dimensions include: the total number of fixed network users, the density of fixed network users, the fixed-mobile fusion rate and the total income;
obtaining the priority sequence of each grid according to the grade of each grid in the preset network range;
and sequentially determining the planning requirements of the grids according to the priority sequence.
2. The method of claim 1, wherein the determining the planning requirements of the grid comprises:
if the scoring result of the total number of the fixed network users of the grid is lower than a first preset threshold, determining that the grid has the fixed network user expansion requirement or the fixed network fault detection requirement;
if the scoring result of the fixed network user density of the grid is lower than a second preset threshold, determining that the grid has the fixed network user expansion requirement or the fixed network fault detection requirement;
and if the scoring result of the fixed-moving fusion rate of the grid is lower than a third preset threshold, determining that the grid has the mobile network user expansion requirement.
3. The method of claim 1, wherein the determining the planning requirements of the grid comprises:
if the scoring result of the fixed-moving fusion rate of the grid is lower than a third preset threshold, acquiring a wireless coverage index of the grid, and if the wireless coverage index is lower than a preset threshold, determining that the grid has the requirement of newly building a base station.
4. The network planning evaluation method of claim 1, wherein the scores of the grids are obtained according to the scoring results of the evaluation dimensions; the method comprises the following steps:
and according to preset weight, carrying out weighted summation on the scoring results of all the evaluation dimensions to obtain the scores of the grids.
5. A network plan evaluation apparatus, comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring optical splitter information and grid information of an optical splitter within a preset network range, the optical splitter information comprises an identifier of the optical splitter and longitude and latitude of the optical splitter, the grid information comprises a grid position and a grid area, and the grid position corresponds to the grid area one by one;
the processing unit is used for establishing the corresponding relation between the optical splitter and the grid according to the longitude and latitude of the optical splitter and the position of the grid acquired by the acquisition unit;
the acquiring unit is further configured to acquire basic data of the grid according to the corresponding relationship between the optical splitter and the grid, which is established by the processing unit, and by combining the optical splitter information corresponding to the grid, which is acquired by the acquiring unit; the splitter information also includes the service type subscribed by the user of the splitter; the basic data comprises the number of users of each service type and income data;
a determining unit, configured to determine, according to the basic data acquired by the acquiring unit, a total revenue of the grid, a total number of fixed network users, and a fixed-mobile convergence rate, where the fixed-mobile convergence rate is a fixed-mobile convergence user number/a total number of fixed network users, and the fixed-mobile convergence user number is a number of users who subscribe to a fixed network and a mobile network convergence service;
the determining unit is further configured to determine the fixed network user density of the grid according to the total number of fixed network users of the grid and the area of the grid obtained by the obtaining unit;
the processing unit is further configured to score each evaluation dimension of the grid determined by the determining unit; the evaluation dimensions include: the total number of fixed network users, the density of fixed network users, the fixed-mobile fusion rate and the total income;
the acquisition unit is further used for acquiring the scores of the grids according to the scoring results of the evaluation dimensions obtained by the processing unit;
the acquiring unit is further configured to acquire a priority ranking of each grid according to the score of each grid within the predetermined network range acquired by the acquiring unit;
the determining unit is further configured to determine the planning requirement of the grid according to the priority ranking acquired by the acquiring unit.
6. The network planning evaluation device according to claim 5, wherein the determining unit is further configured to determine the planning requirement of the grid according to the priority ranking acquired by the acquiring unit, and specifically includes:
if the scoring result of the total number of the fixed network users of the grid obtained by the processing unit is lower than a first preset threshold, determining that the grid has the fixed network user expansion requirement or the fixed network fault detection requirement;
if the scoring result of the density of the fixed network users of the grid obtained by the processing unit is lower than a second preset threshold, determining that the grid has the fixed network user expansion requirement or the fixed network fault detection requirement;
and if the scoring result of the fixed-mobile fusion rate of the grid obtained by the processing unit is lower than a third preset threshold, determining that the grid has the mobile network user expansion requirement.
7. The network planning evaluation device according to claim 5, wherein the determining unit is further configured to determine the planning requirement of the grid according to the priority ranking acquired by the acquiring unit, and specifically further includes:
if the scoring result of the fixed-moving fusion rate of the grid obtained by the processing unit is lower than a third preset threshold, acquiring a wireless coverage index of the grid, and if the wireless coverage index is lower than a preset threshold, determining that the grid has the requirement of newly building a base station.
8. The network planning evaluation device according to claim 5, wherein the obtaining unit is further configured to, according to the score of each grid within the predetermined network range obtained by the obtaining unit, specifically include:
and according to preset weight, carrying out weighted summation on the scoring results of all the evaluation dimensions to obtain the scores of the grids.
9. A computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the network plan evaluation method of any of claims 1-4.
10. A network plan evaluation apparatus, comprising: a processor, a memory, and a communication interface; wherein the communication interface is for communicating with other devices or a communication network, and the memory is for storing one or more programs, the one or more programs comprising computer executable instructions which, when the apparatus is run, the processor executes the computer executable instructions stored by the memory to cause the apparatus to perform the network plan evaluation method of any one of claims 1 to 4.
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| CN113489616B (en) * | 2021-07-26 | 2022-09-02 | 中国联合网络通信集团有限公司 | Fixed network evaluation method and device and computer readable storage medium |
| CN113938922B (en) * | 2021-09-17 | 2023-06-16 | 中国联合网络通信集团有限公司 | Method and device for determining optimized cell |
| CN113923706A (en) * | 2021-10-29 | 2022-01-11 | 中国电信股份有限公司 | Mobile network coverage quality evaluation method and device, electronic equipment and storage medium |
| CN114900241A (en) * | 2022-06-21 | 2022-08-12 | 宿迁学院 | ODN network optical splitter point selection method based on weighted value |
| CN115278761A (en) * | 2022-08-30 | 2022-11-01 | 中国联合网络通信集团有限公司 | Network evaluation method, device, equipment and storage medium |
| CN116136988B (en) * | 2023-04-19 | 2023-07-07 | 国网浙江省电力有限公司宁波供电公司 | Space-time compass distribution-based power distribution network power supply grid construction optimization sequencing method |
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