CN115174416A

CN115174416A - Network planning system, method and device and electronic equipment

Info

Publication number: CN115174416A
Application number: CN202210817870.2A
Authority: CN
Inventors: 赵静; 陈元谋; 熊小明; 李晨
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2022-07-12
Filing date: 2022-07-12
Publication date: 2022-10-11
Anticipated expiration: 2042-07-12
Also published as: CN115174416B

Abstract

The embodiment of the invention provides a network planning system, a method, a device and electronic equipment, which are applied to the technical field of communication networks. The network planning system includes: a data unit, a model unit; the data unit is used for acquiring network data corresponding to the deployed network, wherein the network data is generated based on operation data of a physical network entity of the deployed network and geographic environment data; the model unit is used for constructing a demand prediction model based on the network data; determining a network planning requirement aiming at a network to be deployed based on the constructed requirement prediction model, and generating an initial network planning scheme aiming at the network planning requirement; constructing a network simulation model aiming at the initial network planning scheme; operating a network simulation model to obtain simulation operation data; and optimizing the scheme of the initial network planning scheme based on the simulation operation data to obtain the optimized network planning scheme. By the scheme, the efficiency of network planning can be improved.

Description

Network planning system, method and device and electronic equipment

Technical Field

The present invention relates to the field of communications network technologies, and in particular, to a network planning system, method, apparatus, and electronic device.

Background

With the progress of society and the development of communication technology, the service types, the scale and the complexity of communication networks are continuously increasing, and therefore, before a new communication network is deployed, network planning on the communication network to be deployed is very important.

In the related art, a manual method is mostly adopted for network planning, and in a simple aspect, a planner needs to collect related data, such as geographic environment data, user data and the like, then use the collected data to formulate a network planning scheme, further use an offline simulation or a pilot run mode and the like to verify the formulated network planning scheme, and finally adjust the formulated network planning scheme based on a verification result until an available network planning scheme is obtained.

In the related art, a network planning is performed by adopting a manual method, so that the efficiency of the network planning is low.

Disclosure of Invention

The embodiment of the invention aims to provide a network planning system, a network planning method, a network planning device and electronic equipment, so as to improve the efficiency of network planning. The specific technical scheme is as follows:

in a first aspect, an embodiment of the present invention provides a network planning system, including: a data unit, a model unit;

the data unit is used for acquiring network data corresponding to a deployed network, wherein the network data is generated based on operation data of a physical network entity of the deployed network and geographic environment data;

the model unit is used for constructing a demand prediction model based on the network data; determining a network planning requirement aiming at a network to be deployed based on the constructed requirement prediction model, and generating an initial network planning scheme aiming at the network planning requirement; constructing a network simulation model for the initial network planning scheme; operating the network simulation model to obtain simulation operation data; and carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

Optionally, the network planning system further includes an application unit;

the application unit is used for sending a network planning instruction to the model unit;

the model unit is specifically configured to, when the network planning instruction sent by the application unit is received, determine a network planning requirement for a network to be deployed based on the constructed demand prediction model, and generate an initial network planning scheme for the network planning requirement.

Optionally, the application unit is further configured to visually display the initial network planning scheme, and send a network optimization instruction to the model unit;

the model unit is specifically configured to construct a network simulation model for the initial network planning scheme when receiving the network optimization instruction sent by the application unit; operating the network simulation model to obtain simulation operation data; and carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

Optionally, the initial network planning scheme includes a plurality of network elements to be deployed, topology information of each network element to be deployed, and deployment information of each network element to be deployed;

the model unit constructs a network simulation model for the initial network planning scheme, including:

determining a network element model of each network element to be deployed from all network element models constructed in advance as a target network element model;

establishing a topological relation among target network element models based on topological information of the network elements to be deployed and a pre-constructed topological model;

and deploying the target network element models in a map model which is constructed in advance based on the topological relation among the target network element models and the deployment information of each network element to be deployed to obtain a network simulation model.

Optionally, the demand prediction model includes at least one of a user prediction model and a service prediction model; the user prediction model is used for predicting the change condition of the number of users, and the service prediction model is used for predicting the change condition of communication service;

the model unit determines a network planning requirement for the network to be deployed based on the constructed requirement prediction model, and the method comprises the following steps:

and generating a network planning requirement corresponding to the user number change result and/or the communication service change result based on the user number change result predicted by the user prediction model and/or the communication service change result predicted by the service prediction model.

Optionally, the model unit performs scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme, including:

and inputting the simulation operation data into at least one of a network capacity model, a path model and a strategy model which are constructed in advance, and performing iterative optimization on the initial network planning scheme to obtain an optimized network planning scheme.

Optionally, the data unit is specifically configured to obtain operation data and geographic environment data of a physical network entity of a deployed network; and performing data fusion on the operation data of the physical network entity and the geographic environment data according to a preset data fusion rule to obtain network data corresponding to the deployed network.

Optionally, the network data includes at least one of current network data, historical data, business data, population data, and the geographic environment data; the current network data is the operation data of the physical network entity in the current time period, and the historical data is the operation data of the physical network entity in the historical time period.

Optionally, the model unit is further configured to generate an evaluation report for the optimized network planning scheme, and input the optimized network planning scheme and the evaluation report.

Optionally, the data unit is further configured to, after a communication network is deployed based on the optimized network planning scheme, acquire network data of the communication network deployed based on the optimized network planning scheme.

In a second aspect, an embodiment of the present invention provides a network planning method, where the method includes:

acquiring network data corresponding to a deployed network, wherein the network data is generated based on operation data of a physical network entity of the deployed network and geographic environment data;

constructing a demand forecasting model based on the acquired network data;

determining a network planning requirement aiming at a network to be deployed based on the constructed requirement prediction model, and generating an initial network planning scheme aiming at the network planning requirement;

constructing a network simulation model aiming at the initial network planning scheme, and operating the network simulation model to obtain simulation operation data;

and carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

the constructing of the network simulation model for the initial network planning scheme includes:

determining a network element model of each network element to be deployed from all pre-constructed network element models as a target network element model;

Optionally, the demand prediction model includes at least one of a user prediction model and a business prediction model; the user prediction model is used for predicting the change condition of the number of users, and the service prediction model is used for predicting the change condition of communication service;

the determining of the network planning requirement for the network to be deployed based on the constructed requirement prediction model comprises:

and generating a network planning requirement corresponding to the user quantity change result and/or the communication service change result based on the user quantity change result predicted by the user prediction model and/or the communication service change result predicted by the service prediction model.

Optionally, the performing scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme includes:

Optionally, the obtaining network data corresponding to the deployed network includes:

acquiring operation data and geographic environment data of a physical network entity of a deployed network;

and performing data fusion on the operation data of the physical network entity and the geographic environment data according to a preset data fusion rule to obtain network data corresponding to the deployed network.

Optionally, after the generating the initial network planning scheme for the network planning requirement, the method further includes:

and visually displaying the initial network planning scheme.

Optionally, after performing scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme, the method further includes:

and generating an evaluation report aiming at the optimized network planning scheme, and inputting the optimized network planning scheme and the evaluation report.

Optionally, the method further includes:

and after deploying the communication network based on the optimized network planning scheme, acquiring network data of the communication network deployed based on the optimized network planning scheme.

In a third aspect, an embodiment of the present invention provides a network planning apparatus, where the apparatus includes:

the data acquisition module is used for acquiring network data corresponding to a deployed network, wherein the network data is generated based on operation data of a physical network entity of the deployed network and geographic environment data;

the model construction module is used for constructing a demand prediction model based on the acquired network data;

the scheme planning module is used for determining a network planning requirement aiming at the network to be deployed based on the constructed requirement prediction model and generating an initial network planning scheme aiming at the network planning requirement;

the simulation module is used for constructing a network simulation model aiming at the initial network planning scheme and operating the network simulation model to obtain simulation operation data;

and the optimization module is used for carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

In a fourth aspect, an embodiment of the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor and the communication interface complete communication between the memory and the processor through the communication bus;

a memory for storing a computer program;

a processor for implementing the method steps of the second aspect when executing the program stored in the memory.

In a fifth aspect, the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the method steps of any one of the second aspects.

The embodiment of the invention has the following beneficial effects:

the network planning system provided by the embodiment of the invention can comprise a data unit and a model unit, wherein the data unit is used for acquiring network data corresponding to a deployed network, and further the model unit can construct a demand prediction model based on the network data, determine a network planning demand for the network to be deployed based on the constructed demand prediction model, generate an initial network planning scheme aiming at the network planning demand, and construct a network simulation model aiming at the initial network planning scheme; and operating the network simulation model to obtain simulation operation data, and further carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme. The network planning requirement can be determined through the data unit and the model unit, the initial network planning scheme is automatically generated, and the initial network planning scheme is automatically performed on the initial network planning scheme, so that the network planning can be automatically performed, and the network planning efficiency is improved.

Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by referring to these drawings.

Fig. 1 is a schematic structural diagram of a network planning system according to an embodiment of the present invention;

fig. 2 is another schematic structural diagram of a network planning system according to an embodiment of the present invention;

fig. 3 is another schematic structural diagram of a network planning system according to an embodiment of the present invention;

fig. 4 is a flowchart of a network planning method according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a network planning apparatus according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived from the embodiments given herein by one of ordinary skill in the art, are within the scope of the invention.

The digital twin is a real-time representation of physical entities in the digital world, and is currently applied to a plurality of industries facing intelligent manufacturing and industrial 4.0, such as aerospace engineering, power grids, automobile manufacturing, petroleum industry and the like, and obvious efficiency improvement and cost reduction are brought to each industry. The future digital twin technology can be widely applied to the fields of smart cities, human activity management, scientific research and the like, so that the whole society trends to the digital twin world. Communication networks provide a solid foundation for building the "digital twin" world. However, as the traffic type, size and complexity of communication networks continue to increase, the communication networks themselves also need to seek solutions beyond physical solutions with the aid of digital twinning techniques.

The network planning stage is one of the most core stages and the stages with the highest associated knowledge density in the whole life cycle of the telecommunication network, and before a new communication network is deployed, the efficiency of deploying the communication network can be effectively improved by carrying out network planning on the communication network to be deployed. However, in the related art, a manual method is mostly adopted to perform network planning, and in a simple aspect, a planner needs to collect relevant data, such as geographic environment data, user data, and the like, and then use the collected data to make a network planning scheme, and further use an offline simulation or a pilot run mode, and the like to verify the made network planning scheme, and finally adjust the made network planning scheme based on a verification result until an available network planning scheme is obtained. Because the network planning is carried out by adopting a manual method, the efficiency of the network planning is lower.

In order to improve the efficiency of network planning, embodiments of the present invention provide a network planning system, a method, an apparatus, and an electronic device.

The network planning system provided by the embodiment of the present invention may include: a data unit, a model unit;

the data unit is used for acquiring network data corresponding to the deployed network, wherein the network data is generated based on operation data of a physical network entity of the deployed network and geographic environment data;

the model unit is used for constructing a demand prediction model based on the network data; determining a network planning requirement aiming at the network to be deployed based on the constructed requirement prediction model, and generating an initial network planning scheme aiming at the network planning requirement; constructing a network simulation model aiming at the initial network planning scheme; operating a network simulation model to obtain simulation operation data; and carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

In the above scheme of the embodiment of the present invention, the network planning requirement can be determined through the data unit and the model unit, and the initial network planning scheme is automatically generated, so that the initial network planning scheme is automatically performed on the initial network planning scheme, thereby automatically performing network planning and improving the efficiency of network planning.

The network planning system provided by the embodiment of the invention will be explained in detail below with reference to the drawings in the specification.

As shown in fig. 1, an embodiment of the present invention provides a network planning system, including: a data unit 101, a model unit 102;

a data unit 101, configured to acquire network data corresponding to a deployed network, where the network data is generated based on operation data of a physical network entity of the deployed network and geographic environment data;

the model unit 102 is used for constructing a demand prediction model based on network data; determining a network planning requirement aiming at the network to be deployed based on the constructed requirement prediction model, and generating an initial network planning scheme aiming at the network planning requirement; constructing a network simulation model aiming at the initial network planning scheme; operating a network simulation model to obtain simulation operation data; and carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

The data unit 101 may obtain network data corresponding to the deployed network in real time, and continuously update the obtained data. Optionally, the data unit 101 may obtain operation data and geographic environment data of a physical network entity of a deployed network, and further perform data fusion on the operation data and the geographic environment data of the physical network entity according to a preset data fusion rule to obtain network data corresponding to the deployed network.

The data fusion rule can be set according to different types of data according to requirements. Optionally, the physical network entity may be a network type such as a mobile communication network, a broadband network, a data center network, a campus enterprise network, or may be a single network domain subnet (e.g., an access network, a transmission network, a core network, a bearer network, etc.) or a combination of multiple subnets. The operational data of the physical network entity may be obtained by means of sensors, network probes, control instructions, management systems, associated logs, etc. deployed within the physical network entity.

After the operation data and the geographic environment data of the physical network entity of the deployed network are acquired, the acquired data can be simply processed to extract effective fusion data. Specifically, the data fusion may be performed on the operation data of the physical network entity and the geographic environment data according to a preset data fusion rule, so as to obtain network data corresponding to the deployed network. For example, the operation data of the physical network entity includes data of a specified data type, and then the data of the specified data type can be calculated according to a calculation mode corresponding to the specified data type to obtain the index data. In one example, a plurality of similar physical objects exist in the physical network entity, and physical object data (states, parameters, and the like) with high similarity can be matched through a recognition algorithm, so that the data can be better clustered, processed and analyzed, the utilization rate of the data is improved, and the high-efficiency integration of a plurality of physical object data is realized. In another example, data of various sensors can be fused, effective information amount is enlarged, effective data for evaluating health conditions of network equipment is generated, potential safety hazards and fault points possibly existing in the network can be found based on a model, and replacement and repair can be carried out in time.

Through data fusion, network data can be obtained. Optionally, the network data may include at least one of current network data, historical data, business data, demographic data, and geographic environment data. The current network data is the operation data of the physical network entity in the current time period, and the historical data is the operation data of the physical network entity in the historical time period. The operation data may be network-related data such as states of the resource base station, the network node, the network device, and transmission speeds between network elements. The service data may be service-related data, such as a client involved in the service, a user type, a number of users, an area in which the service is located, and the like. The population data may include the number of base station coverage, home users, or the number of people in different cells, homes, etc.

The data unit 101 may transmit the acquired network data to the model unit 102, so that the model unit 102 may construct a demand prediction model based on the network data, determine a network planning demand for a network to be deployed based on the constructed demand prediction model, generate an initial network planning scheme for the network planning demand, and construct a network simulation model for the initial network planning scheme, thereby operating the network simulation model to obtain simulation operation data, and finally perform scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

In one implementation, the demand prediction model may include at least one of a user prediction model and a service prediction model; the user prediction model is used for predicting the change condition of the number of users, and the service prediction model is used for predicting the change condition of communication service. At this time, the model unit 102 may generate a network planning requirement corresponding to the user number variation result and/or the communication service variation result based on the user number variation result predicted by the user prediction model and/or the communication service variation result predicted by the service prediction model.

In one implementation, the model unit 102 may construct, verify, optimize, and manage a relevant model according to an application scenario and specific requirements of network planning, and provide a data model instance for network planning application. The model unit 102 may construct at least one of a network element model, a topology model, a map model, a user prediction model, a service prediction model, a network capacity model, a network slice model, a path model, a policy model, and the like.

The model unit 102 is the core of the network planning system of the present invention, and is the comprehensive presentation of the physical network in the digital twin space. Optionally, the model unit 102 may be divided into three parts: a network infrastructure model, a network planning function model and model management.

The network basic model can comprise a network element model, a topology model and a map model, is a three-dimensional presentation of a physical network entity and the current situation of the geographic environment where the physical network entity is located, is used for accurate formulation of a network planning scheme and simulation verification of the network planning scheme and the model, and is combined with data analysis to complete optimization of the network planning scheme and iterative tuning of a network planning function model.

The network planning function model may include a user prediction model, a service prediction model, a network capacity model, a network slice model, a path model, a policy model, and the like. The network planning method is established according to the specific functional requirements of the network planning, and is used for formulating and optimizing a network planning scheme, so that the accurate network planning capability is improved. The user prediction model is mainly used for predicting the quantity change trend and the distribution change trend of different types of network users from two dimensions of time and space. And the service prediction model starts from the application scenes, analyzes the development trend of future communication services of different application scenes through data, judges the index parameters of each application scene and predicts the services possibly generated in each application scene. And the network capacity model is used for predicting the network capacity at the future time by analyzing the historical data of the network capacity and combining a network capacity prediction formula. The network slice model is used for the full life cycle management of a network slice example, comprises the stages of design, configuration, operation, termination and the like, and plans the application and deployment of the network slice as required; and the path model is used for designing the optimal path of each service of the network by analyzing the real-time environment of the network. The strategy model is used for constructing, operating and managing related strategies of network planning, and mainly comprises network parameter configuration, networking strategies and the like. The evaluation model is mainly used for evaluating the network planning scheme from the aspects of network important indexes, economic effects and the like. Other models include mainly other functional models and planning innovation techniques.

The model management is used for creating, storing and updating all model instances, and managing model combination and application association. And meanwhile, recording and presenting data loading, simulation verification processes and results of each model instance.

In one implementation, the model unit 102 may determine a network planning requirement through comprehensive analysis of data such as current network data, a geographic environment, a network index, a user prediction, and a service prediction, and may further formulate a corresponding network planning scheme according to the network planning requirement.

After the network planning plan is formulated, the model unit 102 may construct a network simulation model for the initial network planning plan. Optionally, the initial network planning scheme includes a plurality of network elements to be deployed, topology information of each network element to be deployed, and deployment information of each network element to be deployed. At this time, the model unit 102 may determine, from the pre-constructed network element models, a network element model of each to-be-deployed network element as a target network element model, and further establish a topological relationship between the target network element models based on the topological information of the to-be-deployed network elements and the pre-constructed topological models, and deploy each target network element model in the pre-constructed map model based on the topological relationship between the target network element models and the deployment information of each to-be-deployed network element to obtain the network simulation model.

After obtaining the network simulation model, the model unit 102 may run the network simulation model to obtain simulation operation data, and then perform scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

In one implementation, the model unit 102 may input the simulation operation data into at least one of a network capacity model, a path model, and a policy model that are constructed in advance, and perform iterative optimization on the initial network planning scheme to obtain an optimized network planning scheme.

In brief, the model unit 102 may perform simulation verification on the preliminarily formulated network planning scheme on the network basic model, further use the simulation result as the input of the network capacity model, the path model, the policy model, and the like, perform iterative tuning on the initial model by combining the historical data, and complete verification and optimization of the network planning scheme.

In an implementation manner, the data unit 101 is further configured to, after deploying a communication network based on the optimized network planning scheme, obtain network data of the communication network deployed based on the optimized network planning scheme. That is to say, after the network planning scheme is put into actual production and deployment, the execution condition and the operation state of the network planning scheme in the deployed network both upload the formed data to the data unit of the system, and finally provide data support for the optimization of the network planning scheme and the model, so as to form a planning cycle.

As shown in fig. 2, an embodiment of the present invention provides another network planning system, which further includes an application unit 103;

an application unit 103, configured to send a network planning instruction to the model unit 102;

the model unit 102 is specifically configured to, when receiving a network planning instruction sent by the application unit 103, determine a network planning requirement for the network to be deployed based on the demand prediction model constructed by the model unit 102, and generate an initial network planning scheme for the network planning requirement.

In order to facilitate management of the model unit 102, the network planning system provided in the embodiment of the present invention may further include an application unit 103, where the application unit 103 is configured to invoke relevant capabilities of the model unit to fulfill actual application requirements of the network planning staff. Optionally, the unit mainly comprises network planning visualization, network planning scheme formulation, verification and optimization, and network planning innovation technology verification.

The application unit 103 is further configured to visually display the initial network planning scheme and send a network optimization instruction to the model unit 102, so that the model unit 102 may construct a network simulation model for the initial network planning scheme when receiving the network optimization instruction sent by the application unit 103; operating a network simulation model to obtain simulation operation data; and optimizing the scheme of the initial network planning scheme based on the simulation operation data to obtain the optimized network planning scheme.

The network planning system based on the digital twin can realize the whole-course visualization of network planning, including the whole-course visualization of network planning scheme formulation, verification and optimization, the whole-course visualization of the whole life cycle management of various model examples, the visualization of various types of data, the visualization of various state data, the visualization of a digital model of a physical network, the visualization of the verification process of a network planning innovation technology and the like.

The network planning system based on the digital twin can realize the verification of network planning innovation technology, including model innovation, algorithm innovation, new technology innovation and the like, and can perform experimental verification in a model unit of the system, thereby reducing the verification cost and accelerating iterative testing and landing.

The model unit 102 is further configured to generate an evaluation report for the optimized network planning scheme, and input the optimized network planning scheme and the evaluation report.

As shown in fig. 3, another network planning system provided in the embodiment of the present invention may include a physical network unit, a data unit, a model unit, and an application unit.

(1) And the physical network unit is used for providing network data of the deployed network and deploying and implementing a network planning scheme. The unit mainly includes physical network entities, such as: the network device, the networking, and the geographic environment in which the physical network entity is located. The physical network entity may be a network type such as a mobile communication network, a broadband network, a data center network, a campus enterprise network, etc., or may be a single network domain subnet (e.g., an access network, a transmission network, a core network, a bearer network, etc.) or a combination of multiple subnets.

(2) And the data unit is used for acquiring network equipment, networking and geographic environment data in the physical network unit, further performing upward fusion transmission, and receiving control information to complete downward feedback control on the physical network (namely the deployed network). The fusion transmission is to perform simple data processing on a large amount of original monitoring data, extract effective information and transmit the effective information to the model unit. The unit is composed of various subsystems, and mainly comprises a resource management system, a service management system, a network management system and other management systems. The data types related to the data mainly comprise current network data, historical data, business data, population data, geographic environment data (geographic environment in the data unit of fig. 3) and other data.

(3) And the model unit is used for constructing, verifying, optimizing and managing related models according to the application scene and specific requirements of the network planning, and providing a data model example for the network planning application. The unit mainly comprises a network element model, a topology model, a map model, a user prediction model, a service prediction model, a network capacity model, a network slice model, a path model, a strategy model, an evaluation model and other models.

(4) And the application unit is used for calling the relevant capacity of the model unit and finishing the actual application requirement of the network planner. The unit is mainly used for network planning visualization, network planning scheme formulation, verification and optimization, and network planning innovation technology verification.

In an implementation manner, the network planning system may be deployed by adopting the following steps, including step 1 to step 5:

step 1, acquiring original monitoring data of physical network entities, geographic environments and the like. The physical network entity may be a network type such as a mobile communication network, a broadband network, a data center network, a campus enterprise network, or may be a single network domain subnet (such as an access network, a transmission network, a core network, a bearer network, etc.) or a combination of multiple subnets. The data acquisition method mainly comprises a sensor, a network probe, a control instruction, a management system, a related log and the like.

And 2, simply processing the original monitoring data to extract effective fusion data, wherein the effective fusion data mainly comprises current network data, historical data, business data, population data, geographic environment data and other data.

And 3, establishing a three-dimensional basic data model of the physical network and the geographic environment based on the fusion data, wherein the three-dimensional basic data model mainly comprises a network element model, a topology model and a map model.

And 4, establishing a network planning function model and a model management unit according to specific requirements of network planning, wherein the specific requirements mainly comprise user prediction, service prediction, network capacity design, network slice design, path design, strategy generation, quality evaluation and the like.

And step 5, establishing a network planning application unit according to the specific application requirements of the network planning, wherein the network planning visualization, the network planning scheme formulation, the network planning scheme verification, the network planning scheme optimization and the like are mainly included.

After deployment is completed, a network planning requirement can be generated based on quantitative analysis of all data in the network planning system, a preliminary network planning scheme is formulated by combining manual analysis, verification of the network planning scheme is completed based on the network planning basic model, data in the whole process is recorded, iterative tuning is performed on a network planning function model based on the data in the process and historical data, the network planning scheme is optimized, the optimized network planning scheme and an evaluation report are output, experts discuss the final scheme in a centralized mode, or a new network planning requirement is generated, the final network planning scheme is deployed and implemented finally, data generated in the whole process are recorded and are drawn into an original monitoring data range, and a planning cycle is formed.

The network planning system provided by the embodiment of the invention can realize the formulation, verification and optimization of a network planning scheme based on a digital twin network planning system. Specifically, the network planning requirement is determined through comprehensive analysis of data such as current network data, geographic environment, network indexes, user prediction, service prediction and the like, and a corresponding network planning scheme is formulated according to the requirement; and carrying out simulation verification on the preliminarily formulated network planning scheme on a network basic model, taking a simulation result as the input of a network capacity model, a path model, a strategy model and the like, and carrying out iterative tuning on the initial model by combining historical data to finish the verification and optimization of the network planning scheme. Meanwhile, after the network planning scheme is put into actual production and deployment, the execution condition and the operation state of the network planning scheme in an actual network form monitoring data to be uploaded to a data unit of the system, and finally data support is provided for optimization of the network planning scheme and the model, and a planning cycle is formed.

Optionally, the whole-process visualization of the network planning can be realized by a network planning system based on the digital twin, including the whole-process visualization of the formulation, verification and optimization of the network planning scheme, the whole-process visualization of the whole life cycle management of various model examples, the visualization of various types of data, the visualization of various states of data, the visualization of the digital model of the physical network, the visualization of the verification process of the network planning innovation technology, and the like.

Optionally, the network planning system based on the digital twin can realize the verification of the network planning innovation technology, including model innovation, algorithm innovation, new technology innovation and the like, and the experimental verification can be performed in the model unit of the system, so that the verification cost is reduced, and the iterative test and landing are accelerated.

As shown in fig. 4, an embodiment of the present invention provides a network planning method, including steps S401 to S405, where:

s401, acquiring network data corresponding to the deployed network, wherein the network data are generated based on operation data of a physical network entity of the deployed network and geographic environment data;

in one implementation, the operation data and the geographic environment data of the physical network entity of the deployed network may be obtained, and the operation data and the geographic environment data of the physical network entity may be subjected to data fusion according to a preset data fusion rule, so as to obtain network data corresponding to the deployed network.

Optionally, the network data may include at least one of current network data, historical data, business data, population data and geographic environment data. The current network data is the operation data of the physical network entity in the current time period, and the historical data is the operation data of the physical network entity in the historical time period.

S402, building a demand forecasting model based on the acquired network data;

s403, determining a network planning requirement for the network to be deployed based on the constructed requirement prediction model, and generating an initial network planning scheme for the network planning requirement;

in one implementation, the demand prediction model may include at least one of a user prediction model and a business prediction model. The user prediction model is used for predicting the change condition of the number of users, and the service prediction model is used for predicting the change condition of communication service;

at this time, a network planning requirement corresponding to the user number change result and/or the communication service change result may be generated based on the user number change result predicted by the user prediction model and/or the communication service change result predicted by the service prediction model.

S404, constructing a network simulation model aiming at the initial network planning scheme, and operating the network simulation model to obtain simulation operation data;

in an implementation manner, the initial network planning scheme may include a plurality of network elements to be deployed, topology information of each network element to be deployed, and deployment information of each network element to be deployed.

At this time, the network element model of each network element to be deployed may be determined from the pre-constructed network element models, and used as the target network element model, and further, based on the topology information of the network elements to be deployed and the pre-constructed topology models, the topological relation between the target network element models is established, and based on the topological relation between the target network element models and the deployment information of each network element to be deployed, the target network element models are deployed in the pre-constructed map model, so as to obtain the network simulation model.

And S405, carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

In one implementation, the simulation operation data may be input into at least one of a network capacity model, a path model, and a policy model that are constructed in advance, and an initial network planning scheme is iteratively optimized to obtain an optimized network planning scheme.

The embodiment of the invention provides another network planning method, which can be used for visually displaying an initial network planning scheme after the initial network planning scheme aiming at the network planning requirement is generated.

The embodiment of the invention provides another network planning method, which can generate an evaluation report aiming at the optimized network planning scheme after carrying out scheme optimization on the initial network planning scheme based on simulation operation data to obtain the optimized network planning scheme, and input the optimized network planning scheme and the evaluation report.

The embodiment of the present invention provides another network planning method, which may obtain network data of a communication network deployed based on the optimized network planning scheme after the communication network is deployed based on the optimized network planning scheme.

For a specific implementation manner and related descriptions of each step in the network planning method provided by the embodiment of the present invention, reference may be made to the above system embodiment, which is not described herein again.

Corresponding to the network planning method provided in the above embodiment of the present invention, as shown in fig. 5, an embodiment of the present invention further provides a network planning apparatus, where the apparatus includes:

a data obtaining module 501, configured to obtain network data corresponding to a deployed network, where the network data is generated based on operation data of a physical network entity of the deployed network and geographic environment data;

a model construction module 502 for constructing a demand prediction model based on the acquired network data;

a plan planning module 503, configured to determine a network planning requirement for the network to be deployed based on the constructed requirement prediction model, and generate an initial network planning plan for the network planning requirement;

a simulation module 504, configured to construct a network simulation model for the initial network planning scheme, and run the network simulation model to obtain simulation operation data;

and an optimization module 505, configured to perform scheme optimization on the initial network planning scheme based on the simulation operation data, so as to obtain an optimized network planning scheme.

the simulation module is specifically configured to determine, from network element models constructed in advance, a network element model of each network element to be deployed as a target network element model; establishing a topological relation among target network element models based on topological information of the network elements to be deployed and a pre-constructed topological model; and deploying the target network element models in a pre-constructed map model based on the topological relation among the target network element models and the deployment information of each network element to be deployed to obtain a network simulation model.

the plan planning module is specifically configured to generate a network planning requirement corresponding to the user number change result and/or the communication service change result based on the user number change result predicted by the user prediction model and/or the communication service change result predicted by the service prediction model.

Optionally, the scheme planning module is specifically configured to input the simulation operation data into at least one of a network capacity model, a path model, and a policy model that are constructed in advance, and perform iterative optimization on the initial network planning scheme to obtain an optimized network planning scheme.

Optionally, the data obtaining module is specifically configured to obtain operation data and geographic environment data of a physical network entity of a deployed network; and performing data fusion on the operation data of the physical network entity and the geographic environment data according to a preset data fusion rule to obtain network data corresponding to the deployed network.

Optionally, the apparatus further comprises:

and the visualization module is used for visually displaying the initial network planning scheme after the scheme planning module executes the initial network planning scheme for generating the network planning requirement.

Optionally, the apparatus further comprises:

and the scheme output module is used for generating an evaluation report aiming at the optimized network planning scheme and inputting the optimized network planning scheme and the evaluation report after the optimization module executes the simulation operation data and carries out scheme optimization on the initial network planning scheme to obtain the optimized network planning scheme.

Optionally, the data obtaining module is further configured to obtain the network data of the communication network deployed based on the optimized network planning scheme after the communication network is deployed based on the optimized network planning scheme.

In the above scheme of the embodiment of the invention, the network planning requirement can be determined through the data unit and the model unit, the initial network planning scheme is automatically generated, and the initial network planning scheme is automatically performed on the initial network planning scheme, so that the network planning can be automatically performed, and the network planning efficiency is improved.

An embodiment of the present invention further provides an electronic device, as shown in fig. 6, including a processor 601, a communication interface 602, a memory 603, and a communication bus 604, where the processor 601, the communication interface 602, and the memory 603 complete mutual communication through the communication bus 604,

a memory 603 for storing a computer program;

the processor 601 is configured to implement the following steps when executing the program stored in the memory 603:

constructing a demand forecasting model based on the acquired network data;

The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the electronic equipment and other equipment.

The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.

In a further embodiment provided by the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any of the above network planning methods.

In a further embodiment provided by the present invention, there is also provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform any of the network planning methods of the above embodiments.

In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.

It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on differences from other embodiments. In particular, as for the method, apparatus, electronic device, computer-readable storage medium, and computer program product embodiments, the description is relatively simple because they are substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.

The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims

1. A network planning system, comprising: a data unit, a model unit;

2. The system of claim 1, wherein the network planning system further comprises an application unit;

3. The system according to claim 2, wherein the application unit is further configured to visually present the initial network planning scheme and send a network optimization instruction to the model unit;

the model unit is specifically configured to construct a network simulation model for the initial network planning scheme when the network optimization instruction sent by the application unit is received; operating the network simulation model to obtain simulation operation data; and carrying out scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme.

4. The system according to any one of claims 1 to 3, wherein the initial network planning scheme includes a plurality of network elements to be deployed, topology information of each network element to be deployed, and deployment information of each network element to be deployed;

and deploying the target network element models in a pre-constructed map model based on the topological relation among the target network element models and the deployment information of each network element to be deployed to obtain a network simulation model.

5. The system according to any one of claims 1-3, wherein the demand forecasting model comprises at least one of a user forecasting model and a business forecasting model; the user prediction model is used for predicting the change condition of the number of users, and the service prediction model is used for predicting the change condition of communication service;

6. The system according to any one of claims 1 to 3, wherein the model unit performs solution optimization on the initial network planning solution based on the simulation operation data to obtain an optimized network planning solution, including:

7. The system according to any of claims 1 to 3, wherein the data unit is specifically configured to obtain operational data and geographic environment data of physical network entities of the deployed network; and performing data fusion on the operation data of the physical network entity and the geographic environment data according to a preset data fusion rule to obtain network data corresponding to the deployed network.

8. The system of claim 7, wherein the network data comprises at least one of current network data, historical data, business data, demographic data, and the geographic context data; the current network data is the operation data of the physical network entity in the current time period, and the historical data is the operation data of the physical network entity in the historical time period.

9. The system according to any one of claims 1-3, wherein the model unit is further configured to generate an evaluation report for the optimized network planning scheme and input the optimized network planning scheme and the evaluation report.

10. The system according to any of claims 1-3, wherein the data unit is further configured to obtain the network data of the deployed communication network based on the optimized network planning scheme after the communication network is deployed based on the optimized network planning scheme.

11. A method of network planning, the method comprising:

constructing a demand forecasting model based on the acquired network data;

12. The method of claim 11, wherein the initial network planning scheme includes a plurality of network elements to be deployed, topology information of each network element to be deployed, and deployment information of each network element to be deployed;

13. The method of claim 11, wherein the demand prediction model comprises at least one of a user prediction model, a business prediction model; the user prediction model is used for predicting the change condition of the number of users, and the service prediction model is used for predicting the change condition of communication service;

14. The method according to claim 11, wherein the performing scheme optimization on the initial network planning scheme based on the simulation operation data to obtain an optimized network planning scheme comprises:

15. The method of claim 11, wherein the obtaining network data corresponding to the deployed network comprises:

16. The method of claim 15, wherein the network data comprises at least one of current network data, historical data, business data, demographic data, and the geographic context data; the current network data is the operation data of the physical network entity in the current time period, and the historical data is the operation data of the physical network entity in the historical time period.

17. The method of claim 11, wherein after the generating the initial network planning solution for the network planning requirement, the method further comprises:

and visually displaying the initial network planning scheme.

18. The method of claim 11, wherein after performing solution optimization on the initial network planning solution based on the simulation operation data to obtain an optimized network planning solution, the method further comprises:

19. The method of claim 11, further comprising:

20. A network planning apparatus, the apparatus comprising:

21. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;

a memory for storing a computer program;

a processor for implementing the method steps of any of claims 11 to 19 when executing a program stored in the memory.

22. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any of the claims 11-19.