CN111130824B - Broadband network planning method, device, computer equipment and storage medium - Google Patents
Broadband network planning method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The invention relates to a broadband network planning method, a broadband network planning device, computer equipment and a storage medium. The terminal obtains the resource parameters of the broadband network and obtains the apportioned average resources of each access point in the broadband network according to the resource parameters and a preset broadband network planning resource model. When the terminal plans the broadband network resources, the terminal obtains the resource parameters required by the broadband network planning, such as the optical cable shared resource parameter, the pipeline shared resource parameter, the local room shared resource parameter, the user side matched resource parameter, the optical cross-connecting box shared resource parameter and the like, and obtains the shared average resource of each access point in the broadband network through the resource parameters and the preset broadband network planning resource model, so that the condition that the user estimates the resources required by the broadband network according to experience is avoided, the accuracy of the broadband network resource planning is improved, and the waste of the resources is avoided.
Description
Technical Field
The present invention relates to the technical field of mathematical modeling, and in particular, to a method, an apparatus, a computer device, and a storage medium for broadband network planning.
Background
With the continuous development of network communication technology, wired broadband technology is more and more widely applied to the lives of people. In recent years, the nation has formally implemented the strategy of 'broadband china', the construction of fiber to the home network is comprehensively popularized, and the planning and construction of the broadband access network becomes a hotspot.
In the existing broadband network laying process, it is often the user that estimates the resources required for laying the broadband network according to experience. However, such an empirical estimation of the resources of the broadband installation is often not accurate enough and may result in a waste of resources.
Disclosure of Invention
Based on this, it is necessary to provide a method, an apparatus, a device and a storage medium for planning a broadband network to solve the problem of resource waste in broadband network deployment
A method of broadband network planning, the method comprising:
acquiring resource parameters of a broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, optical cross-connecting box allocation resource parameters and user side matching resource parameters;
and acquiring the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network planning resource model.
In one embodiment, the cable amortization resource parameter comprises a trunk cable amortization resource parameter, a distribution cable amortization resource parameter, and a tip access cable amortization resource parameter; the pipeline allocation resource parameters comprise a trunk distribution pipeline allocation resource parameter and a tip access pipeline average resource parameter.
In one embodiment, the method further comprises:
acquiring the preset broadband network planning resource model according to the terminal average optical cable length model, the density model and the initialized broadband network planning resource model; the terminal average optical cable length model is used for obtaining terminal access optical cable apportioned resource parameters, the density model is used for representing the corresponding relation between user density and coverage radius, and the initialized broadband network planning resource model is used for calculating apportioned average resources of each access point in the broadband network.
In one embodiment, the method further comprises:
acquiring total resources and the number of users of a terminal access optical cable;
and acquiring the average optical cable length model of the tip according to the total resources and the number of users of the tip access optical cable.
In one embodiment, the method further comprises:
acquiring user occupancy, an optical network unit convergence ratio, an optical splitter user convergence ratio and an optical splitter protection ratio corresponding to each scene mode;
and acquiring the density model according to the user occupancy, the optical network unit convergence ratio, the optical splitter user convergence ratio and the optical splitter protection ratio corresponding to the different scene modes.
In one embodiment, the acquiring resource parameters of the broadband network includes:
planning a coverage area of the broadband network by adopting a preset square modeling method to obtain a square model; the square model comprises a trunk light cross-connecting box coverage area and a wiring light cross-connecting box coverage area.
And acquiring the resource parameters according to the square model.
In one embodiment, the obtaining the resource parameter according to the square model includes:
acquiring the length of a trunk optical cable and the length of a distribution optical cable according to the square model;
and acquiring the resource parameters according to the number of the optical cross connecting boxes, the length of the trunk optical cable and the length of the distribution optical cable.
In a second aspect, an apparatus for broadband network planning, the apparatus comprising:
the first acquisition module is used for acquiring resource parameters of the broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, user side matching resource parameters and optical cross-connecting box allocation resource parameters;
and the second acquisition module is used for acquiring the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network planning resource model.
In a third aspect, a computer device includes a memory storing a computer idiom and a processor that implements the following steps when executing the computer program:
acquiring resource parameters of a broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, user side matching resource parameters and optical cross-connecting box allocation resource parameters;
and acquiring the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network planning resource model.
In a fourth aspect, a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of:
acquiring resource parameters of a broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, user side matching resource parameters and optical cross-connecting box allocation resource parameters;
and acquiring the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network planning resource model.
According to the broadband network planning method, the broadband network planning device, the computer equipment and the readable storage medium, the terminal acquires the resource parameters of the broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, user side matching resource parameters and optical cross-connecting box allocation resource parameters; and acquiring the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network planning resource model. In this embodiment, when the terminal plans the broadband network resource, the terminal obtains the resource parameters required by the broadband network planning, such as the optical cable allocation resource parameter, the pipeline allocation resource parameter, the office allocation resource parameter, the user side supporting resource parameter, the optical cross-connect box allocation resource parameter, and the like, and obtains the allocation average resource of each access point in the broadband network through the resource parameters and the preset broadband network planning resource model, so that the user is prevented from estimating the resource required by the broadband network according to experience, the accuracy of the broadband network resource planning is improved, and the waste of the resource is avoided.
Drawings
Fig. 1 provides a schematic diagram of a broadband network access model for one embodiment;
FIG. 2 is a schematic flow chart diagram of a method for broadband network planning in one embodiment;
FIG. 3 is a schematic flow chart diagram of a broadband network planning method in another embodiment;
fig. 4 is a schematic flow chart of a broadband network planning method in another embodiment;
fig. 5 is a schematic flow chart of a broadband network planning method in another embodiment;
FIG. 5a is a schematic diagram of square modeling in one embodiment;
fig. 6 is a schematic flow chart of a broadband network planning method in another embodiment;
FIG. 7 is a three-dimensional diagram illustrating a user density versus coverage length according to one embodiment;
FIG. 8 is a two-dimensional graphical representation of user density versus coverage length in one embodiment;
fig. 9 is a schematic structural diagram of a broadband network planning apparatus according to an embodiment;
fig. 10 is a schematic structural diagram of a broadband network planning apparatus according to another embodiment;
fig. 11 is a schematic structural diagram of a broadband network planning apparatus according to another embodiment;
fig. 12 is a schematic structural diagram of a broadband network planning apparatus according to another embodiment;
FIG. 13 is an internal block diagram of a computing node device provided in one embodiment.
Detailed Description
With the continuous development of network communication technology, wired broadband technology is more and more widely applied to the lives of people. In recent years, the nation has formally implemented the strategy of 'broadband china', the construction of fiber to the home network is comprehensively popularized, and the planning and construction of the broadband access network becomes a hotspot. In the existing broadband network laying process, it is often the user that estimates the resources required for laying the broadband network according to experience. However, such an empirical estimation of the resources of the broadband installation is often not accurate enough and may result in a waste of resources. The broadband network planning method, device, equipment and storage medium provided by the application aim at solving the problem that resources are wasted due to inaccurate broadband network resources.
Fig. 1 is a schematic diagram of an embodiment providing a broadband network access model, and as shown in fig. 1, a convergence machine room is connected to a primary optical cross-connecting cabinet through a trunk optical cable, the primary optical cross-connecting cabinet is connected to a secondary optical cross-connecting cabinet through a distribution optical cable, the secondary optical cross-connecting cabinet is connected to a station point machine room through an access optical cable, the station point machine room is connected to a floor distribution cabinet through a station optical cable, and the floor distribution cabinet is connected to a user terminal through a switch and an access line. Meanwhile, in the process of laying the optical cable, the optical cable is generally required to be arranged in a pipeline for laying.
The broadband network planning method provided by this embodiment may be applicable to a terminal for broadband network planning, where the terminal for broadband network planning may be an electronic device with a data processing function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, or a personal digital assistant, and the specific form of the terminal for broadband network planning is not limited in this embodiment.
It should be noted that, in the broadband network planning method provided in the embodiment of the present invention, the execution main body may be a broadband network planning apparatus, and the apparatus may be implemented as part or all of a broadband network planning terminal in a software, hardware, or a combination of software and hardware.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 2 is a schematic flowchart of a broadband network planning method in an embodiment, where the embodiment relates to a specific process of obtaining an apportioned average resource of each access point in a broadband network through a resource parameter of the broadband network and a preset broadband network planning resource model, and as shown in fig. 2, the method includes:
s101, acquiring resource parameters of a broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, optical cross-connecting box allocation resource parameters and user side matching resource parameters.
Specifically, the resource parameter may be used to indicate the amount of resources, which may be the amount of resources required per kilometer, or the amount of resources required per device or machine room, which is not limited in this embodiment of the present application. The optical cable apportionment resource parameter may be used to indicate the amount of the optical cable average use resource, which may be the amount of the optical cable resource required per kilometer, or the amount of the optical cable resource required per meter, and this is not limited in this embodiment of the present application. The pipeline shared resource parameter may be used to indicate the number of average used resources of the pipeline, and may be the number of resources of the pipeline required per kilometer, or the number of resources of the pipeline required per meter, which is not limited in this embodiment of the present application. The local room allocation resource parameter may be used to represent an average resource quantity required by a room in the broadband network, and may be a sum of resources such as a building entity, a room device, and cables in the room of each room, or may be a sum of resources such as a building entity, a room device, and cables in the room of each room in a specific area, for example, a sum of resources such as a building entity, a room device, and cables in the room of each square kilometer, which is not limited in this embodiment of the present application. The optical cross-connecting box apportionment resource parameter may be used to indicate the average required resource quantity of the optical cross-connecting box, which may be the required resource quantity of each optical cross-connecting box, or the sum of the required resource quantities of each cross-connecting box in a specific area, and this is not limited in this embodiment of the present application. The customer premise supporting resource parameter can be used to indicate the amount of resources required by the customer premise supporting equipment.
Specifically, when acquiring the resource parameters of the broadband network, the resource parameters may be acquired by performing area shape simulation on the coverage area of the broadband network, where the resource parameters may be acquired by simulating the shape of the coverage area of the broadband network into a circle, a hexagon, or a square. Acquiring the optical cable apportioned resource parameters by acquiring the length of the optical cable in a broadband network coverage area; in the process of laying the optical cable, the optical cable is usually required to be arranged in the pipeline for laying, so that the pipeline apportioned resource parameters can be obtained according to the length of the optical cable; further, acquiring local room allocation resource parameters according to the number of local rooms preset in the broadband network coverage area of the user; acquiring an optical traffic box allocation resource parameter according to the number of optical traffic boxes preset in the coverage area of the broadband network by the user; and acquiring the matched resource parameters of the user side according to the number of the users accessed in the coverage area of the broadband network.
S102, obtaining the apportioned resources of each access point in the broadband network according to the resource parameters and a preset broadband network resource planning model.
Specifically, the broadband network resource planning model may be configured to calculate an apportioned average resource of each access point of the broadband network, where the apportioned resource of each access point of the broadband network is obtained by summing up apportioned resources of all optical cables, pipelines, office rooms, optical cross-connect boxes, and user end devices of the broadband network, or the coverage area of the broadband network is divided into a plurality of small areas, and the resources required by each small area are integrated to obtain a total resource of the broadband network, and the total resource of the broadband network is evenly allocated to each access point to obtain the apportioned average resource of each access point.
On the basis of the above embodiment, the obtained resource parameters may be substituted into a preset broadband network resource planning model to obtain the apportioned average resource of each access point in the broadband network. For example, the allocated resource of each access point of the broadband network is the sum of the allocated resources of all optical cables, pipelines, local houses, optical cross-connecting boxes and customer premise equipment of the broadband network, and it is assumed that the allocated average resource of the access point is c and the allocated resource of the optical cable is c1The shared resources of the pipeline are c2The local room apportions resources to c3The optical cross connecting box apportions resources as c4The user side corollary resource is c5Then: can be according to the formula c ═ c1+c2+c3+c4+c5And c is calculated as the average resource of the access points.
According to the broadband network planning method, when the terminal plans the broadband network resources, the terminal obtains the resource parameters required by the broadband network planning, such as the optical cable shared resource parameter, the pipeline shared resource parameter, the local room shared resource parameter, the user side matched resource parameter, the optical cross-connecting box shared resource parameter and the like, and obtains the shared average resource of each access point in the broadband network through the resource parameters and the preset broadband network planning resource model, so that the situation that the user estimates the resources required by the broadband network according to experience is avoided, the accuracy of the broadband network resource planning is improved, and the waste of resources is avoided.
Optionally, the optical cable allocation resource parameter includes a trunk optical cable allocation resource parameter, a distribution optical cable allocation resource parameter, and a tip access optical cable allocation resource parameter; the pipeline allocation resource parameters comprise a main pipeline allocation resource parameter, a distribution pipeline allocation resource parameter and a tip access pipeline average resource parameter.
Specifically, the main optical cable can be used for connecting the collecting machine room with the primary optical cross-connecting box; the distribution optical cable can be used for connecting the primary optical cross connecting cabinet and the secondary optical cross connecting cabinet; the terminal access optical cable can be used for connection between the secondary optical cross connecting box and a station point machine room and between the station point machine room and a floor distribution box. A main optical cable can be arranged in the main pipeline; the distribution cable can be arranged in the distribution pipeline; a tip access cable may be disposed within the tip access conduit.
On the basis of the embodiment shown in fig. 2, the shared average resource of each access point in the broadband network can be obtained through a trunk optical cable shared resource parameter, a distribution optical cable shared resource parameter, a peripheral access optical cable shared resource parameter, a trunk pipeline shared resource parameter, a distribution pipeline shared resource parameter, a peripheral access pipeline average resource parameter, a local room shared resource parameter, an optical cross-connecting box shared resource parameter and a user side matched resource parameter through a preset broadband network resource planning model.
For example, the unit cost of the trunk cable is c11The unit cost of the distribution cable is c12The unit cost of the end access optical cable is c13(ii) a Unit cost of main pipe hole21Pipe hole of distribution pipelineUnit cost of c22The unit cost of the access pipeline is c23(ii) a Investment per office is c3(ii) a Investment unit price c of customer premise equipment4(ii) a Light cross box unit price c5Then, the shared average resource c of each access point:
wherein N is the total number of users in the coverage area of the broadband network;
average tip access length; d is the radius of the coverage area of the optical junction box, and rho is the user density in the coverage area of the broadband network.
Optionally, a preset broadband network planning resource model is obtained according to the terminal average optical cable length model, the density model and the initialized broadband network planning resource model; the terminal average optical cable length model is used for obtaining terminal access optical cable apportioned resource parameters, the density model is used for representing the corresponding relation between the user density and the coverage radius, and the broadband network planning resource model is initialized and used for calculating apportioned average resources of each access point in the broadband network.
Specifically, the initialized broadband network planning resource model can be simplified through the terminal average optical cable length model and the density model, so as to obtain a preset broadband network planning resource model. For example, the average resource parameter of the peripheral access pipeline can be simplified through the peripheral average optical cable length model, and the corresponding relation between the user density and the coverage radius in the coverage area of the broadband network can be obtained through the density model, so that the broadband network planning resource model is initialized, and the preset broadband network planning resource model is further obtained.
In the above embodiment, the preset broadband network planning resource model is obtained through the terminal average optical cable length model, the density model and the initialized broadband network planning resource model, and the process of obtaining the terminal average optical cable length model and the density model is specifically described below with reference to fig. 3 to 4.
Fig. 3 is a schematic flow chart of a broadband network planning method in another embodiment, which relates to a process of how to obtain a terminal average cable length model, and as shown in fig. 3, the method further includes:
s201, acquiring total resources and user number of the terminal access optical cable.
Specifically, when the total resource of the terminal access optical cable is obtained, the total resource can be obtained by obtaining the accumulation sum of all terminal access optical cables in the coverage area of the broadband network; the terminal access optical cable resource in the small square area is obtained by dividing the broadband network coverage area into a plurality of small square areas, and the terminal access optical cable in each small square area is accessed to the optical cable by adopting a broken line approximation method, and the terminal access optical cable resource in the small square area is integrated to obtain the total resource of the terminal access optical cable in the broadband network coverage area.
For example, the broadband network coverage area is divided into a plurality of small square areas, and in one of the small square areas, the length of the tip access optical cable is equal to
Wherein x and y are respectively the length of the side length of the square region with small access point distance, and k3The curve coefficient is a ratio between the actual length of the optical cable and the linear distance by considering a certain optical cable curvature and coiling retention. For a tip access cable in a small square area having a length of
And integrating to obtain the total length of the end access optical cable as follows:
in the process of acquiring the number of users, all users in the coverage area of the broadband network can be respectively counted to acquire the number of users; also can be used forThe number of users is obtained by acquiring the density of the users and the area of the coverage area of the broadband network. For example, the coverage area of the broadband network is a square area with a side length of D, and the coverage area of the broadband network is D2If the users in the area are uniformly distributed and the user densities are all rho, the number of the users in the coverage area of the broadband network is D2ρ。
S202, acquiring a terminal average optical cable length model according to total resources and user number of the terminal access optical cable.
Specifically, on the basis of the above embodiment, the terminal average cable length model may be obtained according to the obtained total resources and the obtained number of subscribers of the terminal access optical cable, which may be obtained by directly dividing the total resources of the terminal access optical cable by the number of subscribers, or may be obtained by simplifying a formula of dividing the total resources of the terminal access optical cable by the number of subscribers. For example, a terminal average cable length of
Total resource of the end access optical cable is L3And the number of subscribers is N, the model of the average length of the terminal cables can be
On the basis of S201
The simplification is carried out, and the simplification process is as follows:
Then the process of the first step is carried out,
is finally obtained
Namely a terminal average cable length model.
According to the broadband network planning method, the terminal obtains the terminal average optical cable length model by obtaining the total resources and the number of users of the terminal access optical cable and according to the total resources and the number of users of the terminal access optical cable. Simplifying the initialized broadband network planning resource model through a terminal average optical cable length model to obtain a preset broadband network planning resource model, and obtaining the apportioned average resource of each access point in the broadband network according to the resource parameters and the preset broadband network planning resource model. Because a more simplified model is adopted to obtain the apportioned average resource of each access point, the efficiency of obtaining the apportioned average resource of each access point is improved.
Fig. 4 is a schematic flow chart of a broadband network planning method in another embodiment, which relates to a process of how to obtain a density model, and as shown in fig. 4, the method further includes:
s301, acquiring user occupancy, optical network unit convergence ratio, optical splitter user convergence ratio and optical splitter protection ratio corresponding to each scene mode.
Specifically, each scene mode may include a home mode FTTH, an office mode FTTO, and a building mode FTTB. The optical network unit may be equipment in a computer room, configured to perform data interaction between the access optical cable and the premise optical cable, where the corresponding convergence ratio may represent an average number of optical network units per access point, and may be 1/an average real occupied port number of the optical network unit, that is, 1/(a number of user ports of the optical network unit × a port utilization rate of the ONU). The optical splitter may be a device in a floor distribution box, configured to divide an optical cable accessing a floor into a plurality of optical cables, and the corresponding optical splitter user convergence ratio may be used to represent the average number of optical splitters per access point, which may be 1/number of optical splitter average real occupied ports, i.e. 1/(number of user ports of optical splitter x port utilization of optical splitter). The number of optical cables required in the protection mode is 2, and the number of optical cables required in the remaining cases is 1, the protection ratio of the optical splitter may be the ratio of the protection mode to the total mode, for example, assuming that there are 10 modes, where 3 protection modes are 3, and 3 × 2+7 — 13 optical cables are required in total, and the protection ratio of the optical splitter is 3 × 2/13 — 46%.
Specifically, the user occupancy, the onu convergence ratio, the splitter user convergence ratio, and the splitter protection ratio corresponding to each scene mode may be obtained as follows. For example, three construction modes of FTTH, FTTB and FTTO scene modes are adopted, and the respective user occupancy rates are as follows: x is the number ofh、xb、xo(ii) a The optical network unit user convergence ratio is 1/ONU average real occupied port number, namely 1/(ONU user port number × ONU port utilization ratio), and the ONU convergence ratios of the FTTH, FTTB and FTTO three scene modes are respectively: q. q.sh、qb、qo(ii) a The user convergence ratio of the optical splitter is 1/the average real occupied port number of the optical splitter, that is, 1/(the user port number of the optical splitter) × the port utilization rate of the optical splitter), and the convergence ratios of the optical splitters in three scene modes of FTTH, FTTB and FTTO are respectively: w is ah、wb、 wo(ii) a The splitter type protection ratio is μ, then table 1 is obtained:
TABLE 1
S302, obtaining a density model according to user occupation ratios, optical network unit convergence ratios, optical splitter user convergence ratios and optical splitter protection ratios corresponding to different scene modes.
Specifically, on the basis of the above embodiment, the density model may be obtained through the user occupancy, the optical network unit convergence ratio, the optical splitter user convergence ratio, and the optical splitter protection ratio corresponding to different scene modes.
It may be obtained by calculating the core requirement number of the distal access cable.
For example, assuming that the core requirement number of the distal access optical cable is M, on the basis of the above embodiment:
wherein, the utilization rate of the fiber core of the main optical cable is
N＝2D2ρ, then:
order to
Then: m ═ 2 ζ D2ρ, when the number of cores M of the main optical cable is given, a relationship between D and ρ can be obtained as follows:
namely the density model.
Furthermore, if the number of the optical fiber cores of the main optical cable is M and the number of the optical fiber cores of the main optical cable is n, the number of the optical fiber cores of the main optical cable is 2mn, and M is less than or equal to 2 mn. In general, the network planning construction with the least resources required should be completely consistent with the service requirements, and there are: m is 2 mn.
Taking the situation of domestic operators as an example, a general trunk optical cable is a 144-core or 288-core optical cable, and numerical simulation is performed on three most possible situations of M-288, 572 and 1152, so that the coverage radius and the user density have an inverse relation.
In the network planning construction, when the user occupancy, the optical network unit convergence ratio, the optical splitter user convergence ratio, and the optical splitter protection ratio corresponding to different scene modes are determined, the optimal coverage radius value corresponding to each user density is shown in table 2.
TABLE 2
Further, considering the actual network heterogeneity, after proper rounding adjustment, the recommended optimal coverage radius table is obtained as shown in table 3:
TABLE 3
According to the broadband network planning method, the terminal simplifies the initialized broadband network planning resource model through the density model to obtain the preset broadband network planning resource model, and the apportioned average resource of each access point in the broadband network is obtained according to the resource parameters and the preset broadband network planning resource model. Because a more simplified model is adopted to obtain the apportioned average resource of each access point, the efficiency of obtaining the apportioned average resource of each access point is improved.
Further, on the basis of the embodiments of fig. 3 and 4, the optimal value of each resource parameter can be obtained by calculation. For example, the preset broadband network planning resource model obtained by the terminal average optical cable length model, the density model and the initialized broadband network planning resource model is:
the optimal terminal average optical cable length d can be obtained by solving through mathematical simulationbest。
The above embodiments specifically describe how to obtain the apportioned average resource of each access point in the broadband network through the resource parameter and the preset broadband network planning model. The process of how to obtain the resource parameters is described in detail below with reference to fig. 5-6.
Fig. 5 is a schematic flowchart of a broadband network planning method in another embodiment, which relates to a specific process of how to obtain resource parameters of a broadband network, and as shown in fig. 5, the method further includes:
s401, planning a coverage area of a broadband network by adopting a preset square modeling method to obtain a square model; the square model comprises a trunk light cross-connecting box coverage area and a wiring light cross-connecting box coverage area.
Specifically, the preset square modeling method may be to divide a coverage area using a broadband network into a plurality of small square areas, and obtain a square model. As shown in fig. 5a, the area S of the broadband network coverage area, the radius of the broadband network coverage area is D, which may also be simplified to the farthest distance from the geometric center to the area boundary. Each small square area is a coverage area of the optical cross connecting box, the radius of the small square area is d, it is assumed that service users in the broadband coverage area mainly include a broadband cell access point and a WLAN hot point access point, the total number of users in the coverage area S is N0, and the total number of users in the integrated service access area S is N. The users in the region are uniformly distributed, and the user density is rho. The broadband network coverage area is divided into a plurality of small square areas. Wherein the trunk light cross-box footprint and the distribution light cross-box footprint are shown in figure 5 a. Curve 1 is a main optical cable routing schematic, and curve 2 is a distribution optical cable routing schematic, namely a square model.
S402, acquiring resource parameters according to the square model.
Specifically, on the basis of S401, according to the divided small square area, the resource parameters are obtained by respectively obtaining the resource parameters corresponding to the coverage area of the trunk optical cross connecting cabinet and the resource parameters corresponding to the coverage area of the distribution optical cross connecting cabinet. For example, the resource parameters corresponding to the trunk optical cross-connecting box coverage area include a trunk optical cable allocation resource parameter, a trunk pipeline allocation resource parameter, a local room allocation resource parameter, and the like, and the resource parameters corresponding to the distribution optical cross-connecting box coverage area include a distribution optical cable allocation resource parameter, a distribution pipeline allocation resource parameter, an optical cross-connecting box allocation resource parameter, and the like.
According to the broadband network planning method, the terminal plans the coverage area of the broadband network by adopting a preset square modeling method to obtain a square model; the square model comprises a trunk light cross-connecting box coverage area and a wiring light cross-connecting box coverage area, and resource parameters are obtained according to the square model. And then the shared average resource of each access point in the broadband network is obtained according to the resource parameter and a preset broadband network planning resource model, and the resource parameter is obtained through the square model, so that the process of obtaining the resource parameter can be simplified, the process of obtaining the broadband network resource is further simplified, and the broadband network resource planning efficiency is improved.
Fig. 6 is a schematic flow diagram of a broadband network planning method in another embodiment, which relates to a specific process of how to obtain resource parameters according to a square model, and as shown in fig. 6, a possible implementation manner of S402 "obtaining resource parameters according to a square model" includes:
s501, obtaining the length of the trunk optical cable and the length of the distribution optical cable according to the square model.
Specifically, on the basis of the embodiment shown in fig. 5, in a specific process of acquiring the square model, the square model may be acquired according to the example shown below. For example, the light traffic box coverage access user model is also selected as a square model, the user is uniformly accessed into the primary or secondary light traffic box, the primary light traffic box is positioned in the peripheral area of the coverage area, and the primary light traffic box is similar to the secondary light traffic box to cover the nearby area. The square diagonal line covered by the light traffic box is abstracted and simplified into that the diameter of a circumscribed circle of the square diagonal line is expressed as 2d because of the curvature, and the coverage area of the light traffic box is as follows: smin＝2d2. Trunk and wiring light are handed over case unified specification, and the quantity of light is handed over the case is: G-D2/d2. In a real access network, the subscriber cables between two points are rarely connected in a straight line. In most cases, the user pipeline reaches a user end along a street in a fold line mode, and simultaneously, a certain optical cable curvature and coiling retention are considered, so that the curve coefficient is introduced into different types of optical cables. The trunk optical cable is the optical cable of intercommunication first-level light cross connecting box, builds 4 ~ 6 first-level light cross connecting boxes in general region, calculates according to the coverage area girth for convenient the consideration:
wherein k is1And obtaining a value rate parameter for the trunk optical cable. The distribution cable is an extension of the main cable to the user side, and needs to be communicated to the nearest 1 or 2 primary optical cross-connecting boxes, and the length of the distribution cable can be approximated as:
wherein k is2And obtaining a value rate parameter for the distribution cable. The length of the user terminal access optical cable in the coverage area of the optical cross connecting box is L3The mean distal access length is defined as
Then:
s502, acquiring resource parameters according to the length of the trunk optical cable and the length of the distribution optical cable.
Specifically, on the basis of S501, the trunk optical cable shared resource parameter and the trunk pipeline shared resource parameter may be obtained according to the length of the trunk optical cable. And acquiring the distribution cable allocation resource parameter and the distribution pipeline allocation resource parameter through the length of the distribution cable.
For example, the length of the trunk cable
Average cost of trunk cable is c11Of the main conduit
Average cost of c21The trunk optical cable apportions the resource parameter as
The main pipeline apportionment investment parameter is
According to the broadband network planning method, the terminal obtains the length of the trunk optical cable and the length of the distribution optical cable according to the square model, and obtains the resource parameters according to the length of the trunk optical cable and the length of the distribution optical cable. And then the shared average resource of each access point in the broadband network is obtained according to the resource parameter and a preset broadband network planning resource model, the trunk optical cable length and the distribution optical cable length are obtained through the square model, and then the resource parameter is obtained, so that the process of obtaining the resource parameter can be simplified, the process of obtaining the broadband network resource is simplified, and the broadband network resource planning efficiency is improved.
Further, based on all the above embodiments, taking a certain district in a certain city as an example, the broadband network is planned as follows:
a) 288 is counted to trunk optical cable core, 1 regional interior construction 1 trunk optical cable, and then the available fine core of trunk optical cable is 576 cores, and trunk optical cable fibre core utilization ratio is 30%.
b) The trunk, wiring and tip cable curvatures are respectively 0.7 to k1, 0.8 to k2 and 0.9 to k 3.
c) The parameters of FTTH, FTTB and FTTO are as follows:
| type of user | Occupancy ratio | ONU convergence ratio | Splitter convergence ratio | Tybe B protection ratio |
| FTTH | 80％ | 1 | 1/10 | 30 |
| FTTB | ||||
| 10％ | 1/5 | 1/10 | 10％ | |
| FTTO | 10％ | 1/2 | 1/10 | 10％ |
d) The main optical cable, the distribution optical cable and the terminal access optical cable respectively adopt 288 optical cables, 144 optical cables and 24 optical cables, and the unit price (including the daughter pipes) of the investment (including the daughter pipes) is respectively as follows: c. C11C is 7 ten thousand yuan/km, c125.5 ten thousand yuan/km, c132.4 ten thousand yuan/km.
e) The trunk, the wiring and the peripheral pipeline are respectively constructed by 4, 4 and 1 hole specifications, and the single-pipe hole investment unit price is respectively as follows: c. C2112.45 ten thousand yuan/km, c2212.45 ten thousand yuan/km, c2316.9 ten thousand yuan/km.
f) Local building cost including matching and equipment2141.3 ten thousand yuan/piece.
g) The user terminal is matched, the local room is matched, 1 local room estimation array of 5 ten thousand users is set according to 200 users, namely c30.1 ten thousand yuan/household. Investment unit price c of customer premise equipment40.2 ten thousand yuan/user
h) The light exchange box equipment considers that 20 percent adopts a room receiving mode and 80 percent adopts an outdoor light exchange box mode, the investment is respectively 20 ten thousand yuan and 1.5 ten thousand yuan, namely the investment unit price c55.6 ten thousand yuan/piece
The split average resource c for each access point can be calculated according to the following formula:
three-dimensional simulation is performed on the above formula, as shown in fig. 7: therefore, the investment cost, the user density rho and the access coverage length d of the light cross box are in a similar paraboloid relationship. When the user density rho is taken, the investment cost and the access coverage length d of the optical cross-connecting box have a parabola-like relation, and d has an optimal value; when the tip access length is fixed, the total investment cost and the area radius D are in a semiparabolic relation. Assuming ρ is 320, fig. 8 can be obtained by performing a slice processing on the three-dimensional model of fig. 7, and a relation between the optimal coverage length d and the density ρ of a certain region is obtained as follows:
according to the population density of a certain area and the WLAN hotspot density, the access user density of the area is estimated to be 320 per square kilometer, and the access length covered by the optical traffic box in the certain area of a certain city can be obtained according to the graph in FIG. 8: dbest＝0.2km。
According to the model, the optimal machine room coverage radius D planned by the broadband access network in the area can be obtainedbestNumber of machine rooms and optimal coverage length d of optical cable cross connecting cabinetbestAverage tip access length of access points
The length of the trunk optical cable, the length of the distribution optical cable, the number of the optical cross-connecting boxes and other 7 key parameters can provide all key parameters for the actual planning and construction of the subsequent network. As shown in table 4.
TABLE 4
It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple sub-steps or phases that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or phases is not necessarily sequential.
Fig. 9 is a schematic structural diagram of a broadband network planning apparatus according to an embodiment. As shown in fig. 9, the broadband network planning apparatus includes: a first acquisition module 10 and a second acquisition module 20, wherein:
a first obtaining module 10, configured to obtain a resource parameter of a broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, user side matching resource parameters and optical cross-connecting box allocation resource parameters;
and a second obtaining module 20, configured to obtain the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network planning resource model.
In one embodiment, the cable amortization resource parameters include a trunk cable amortization resource parameter, a distribution cable amortization resource parameter, and a tip access cable amortization resource parameter; the pipeline allocation resource parameters comprise a main pipeline allocation resource parameter, a distribution pipeline allocation resource parameter and a tip access pipeline average resource parameter.
The broadband network planning apparatus provided in the embodiment of the present invention may implement the above method embodiments, and its implementation principle and technical effect are similar, which are not described herein again.
Fig. 10 is a schematic structural diagram of a broadband network planning apparatus according to another embodiment. On the basis of the embodiment shown in fig. 9, the apparatus further includes: a third obtaining module 30, wherein,
a third obtaining module 30, configured to obtain the preset broadband network planning resource model according to the terminal average optical cable length model, the density model, and the initialized broadband network planning resource model; the terminal average optical cable length model is used for obtaining terminal access optical cable apportioned resource parameters, the density model is used for representing the corresponding relation between user density and coverage radius, and the initialized broadband network planning resource model is used for calculating apportioned average resources of each access point in the broadband network.
The broadband network planning apparatus provided in the embodiment of the present invention may implement the above method embodiments, and its implementation principle and technical effect are similar, which are not described herein again.
Fig. 11 is a schematic structural diagram of a broadband network planning apparatus according to another embodiment. On the basis of the embodiment shown in fig. 9 or fig. 10, the third obtaining module 30 includes: a first acquisition unit 301 and a second acquisition unit 302, wherein,
a first obtaining unit 301, configured to obtain total resources and a number of users of a distal access optical cable; acquiring a terminal average optical cable length model according to the total resources and the number of users of the terminal access optical cable;
a second obtaining unit 302, configured to obtain a user occupancy, an optical network unit convergence ratio, an optical splitter user convergence ratio, and an optical splitter protection ratio corresponding to each scene mode; and acquiring the density model according to the user occupancy, the optical network unit convergence ratio, the optical splitter user convergence ratio and the optical splitter protection ratio corresponding to the different scene modes.
The broadband network planning apparatus provided in the embodiment of the present invention may implement the above method embodiments, and its implementation principle and technical effect are similar, which are not described herein again.
Fig. 12 is a schematic structural diagram of a broadband network planning apparatus according to another embodiment. On the basis of the embodiments shown in fig. 9 to 11, the first obtaining module 10 includes: a modeling unit 101 and a third acquisition unit 102, wherein,
the modeling unit 101 is configured to plan a coverage area of the broadband network by using a preset square modeling method, and obtain a square model; the square model comprises a trunk light cross-connecting box coverage area and a wiring light cross-connecting box coverage area;
a third obtaining unit 102, configured to obtain the resource parameter according to the square model.
In an embodiment, the third obtaining unit 102 is specifically configured to obtain the trunk cable length and the distribution cable length according to the square model; and acquiring the resource parameters according to the length of the trunk optical cable and the length of the distribution optical cable.
The broadband network planning apparatus provided in the embodiment of the present invention may implement the above method embodiments, and its implementation principle and technical effect are similar, which are not described herein again.
For a specific limitation of the broadband network planning apparatus, reference may be made to the above limitation of the broadband network planning method, which is not described herein again. The modules in the broadband network planning apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 13. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer device, when executed by a processor, implements a broadband network planning method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 13 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring resource parameters of a broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, optical cross-connecting box allocation resource parameters and user side matching resource parameters;
and acquiring the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network resource planning model.
The implementation principle and technical effect of the computer device provided in this embodiment are similar to those of the method embodiments described above, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring resource parameters of a broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, optical cross-connecting box allocation resource parameters and user side matching resource parameters;
and acquiring the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network resource planning model.
The implementation principle and technical effect of the computer-readable storage medium provided by this embodiment are similar to those of the above-described method embodiment, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for broadband network planning, the method comprising:
acquiring resource parameters of a broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, optical cross-connecting box allocation resource parameters and user side matching resource parameters; the optical cable allocation resource parameters comprise a trunk optical cable allocation resource parameter, a distribution optical cable allocation resource parameter and a tip access optical cable allocation resource parameter; the pipeline allocation resource parameters comprise a main pipeline allocation resource parameter, a distribution pipeline allocation resource parameter and a tip access pipeline average resource parameter;
acquiring the shared average resource of each access point in the broadband network according to the resource parameter and a preset broadband network resource planning model; the preset broadband network resource planning model is determined according to a terminal average optical cable length model, a density model and an initialized broadband network planning resource model, wherein the terminal average optical cable length model is used for obtaining the terminal access optical cable shared resource parameters, the density model is used for representing the corresponding relation between user density and coverage radius, and the initialized broadband network planning resource model is used for calculating the shared average resource of each access point in the broadband network.
2. The method of claim 1, further comprising:
and simplifying the initialized broadband network planning resource model according to the terminal average optical cable length model and the density model to generate the preset broadband network planning resource model.
3. The method of claim 2, further comprising:
acquiring total resources and the number of users of a terminal access optical cable;
and acquiring the average optical cable length model of the tip according to the total resources and the number of users of the tip access optical cable.
4. A method according to claim 2 or 3, characterized in that the method further comprises:
acquiring user occupancy, an optical network unit convergence ratio, an optical splitter user convergence ratio and an optical splitter protection ratio corresponding to each scene mode;
and acquiring the density model according to the user occupancy, the optical network unit convergence ratio, the optical splitter user convergence ratio and the optical splitter protection ratio corresponding to the different scene modes.
5. The method according to any one of claims 1 to 3, wherein the obtaining the resource parameter of the broadband network comprises:
planning a coverage area of the broadband network by adopting a preset square modeling method to obtain a square model; the square model comprises a trunk light cross-connecting box coverage area and a wiring light cross-connecting box coverage area;
and acquiring the resource parameters according to the square model.
6. The method of claim 5, wherein the obtaining the resource parameters according to the square model comprises:
acquiring the length of a trunk optical cable and the length of a distribution optical cable according to the square model;
and acquiring the resource parameters according to the length of the trunk optical cable and the length of the distribution optical cable.
7. An apparatus for broadband network planning, the apparatus comprising:
the first acquisition module is used for acquiring resource parameters of the broadband network; the resource parameters comprise optical cable allocation resource parameters, pipeline allocation resource parameters, local room allocation resource parameters, user side matching resource parameters and optical cross-connecting box allocation resource parameters; the optical cable allocation resource parameters comprise a trunk optical cable allocation resource parameter, a distribution optical cable allocation resource parameter and a tip access optical cable allocation resource parameter; the pipeline allocation resource parameters comprise a main pipeline allocation resource parameter, a distribution pipeline allocation resource parameter and a tip access pipeline average resource parameter;
the second acquisition module is used for acquiring the apportioned average resource of each access point in the broadband network according to the resource parameter and a preset broadband network planning resource model; the preset broadband network resource planning model is determined according to a terminal average optical cable length model, a density model and an initialized broadband network planning resource model, wherein the terminal average optical cable length model is used for obtaining the terminal access optical cable shared resource parameters, the density model is used for representing the corresponding relation between user density and coverage radius, and the initialized broadband network planning resource model is used for calculating the shared average resource of each access point in the broadband network.
8. The apparatus of claim 7, further comprising:
and the third obtaining module is used for simplifying the initialized broadband network planning resource model according to the terminal average optical cable length model and the density model to generate the preset broadband network planning resource model.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method according to any of claims 1-6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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