CN114338425B - Network planning method, device and storage medium - Google Patents
Network planning method, device and storage medium Download PDFInfo
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- CN114338425B CN114338425B CN202111674116.XA CN202111674116A CN114338425B CN 114338425 B CN114338425 B CN 114338425B CN 202111674116 A CN202111674116 A CN 202111674116A CN 114338425 B CN114338425 B CN 114338425B
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Abstract
The application provides a network planning method, a device and a storage medium, relates to the technical field of communication, and aims to solve the technical problem that network planning cannot be accurately carried out. The method comprises the following steps: after the service information of the plurality of services is obtained, the plurality of services can be divided into at least one service state service according to the service information of the plurality of services, and the target duty ratio of the target service in the plurality of services is determined, so that the network planning strategy is determined according to the service information and the target duty ratio of the target service. Wherein the target service is a service of any one of at least one service state. The application improves the accuracy of developing network planning.
Description
Technical Field
The present application belongs to the field of communication technologies, and in particular, to a network planning method, a device and a storage medium.
Background
With the large-scale expansion of networks, whether a strict and effective network evaluation can be performed on the network has become an important factor affecting the network planning work. The network evaluation is to evaluate whether the existing channel resources, hardware devices and the like need to be newly built by analyzing the service bearing pressure actually faced by the existing network, and propose an optimization scheme aiming at the channel resources, the hardware devices and the like needing to be newly built.
In the related art, when analyzing service bearer pressures actually faced by the existing network, bearer pressures caused by a plurality of services are generally counted indiscriminately. However, with the diversification of service types (such as 200M bandwidth service, 1000M bandwidth service, etc.), the difference of the bearing pressure caused by the service of different service types is also increasing, and the related art cannot guarantee the accuracy of statistics.
Therefore, how to effectively perform network evaluation, so as to accurately perform network planning work has become a problem to be solved.
Disclosure of Invention
The application provides a network planning method, a device and a storage medium, which are used for solving the problem that network planning cannot be accurately carried out.
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, a network planning method is provided, including: after the service information of the plurality of services is obtained, the plurality of services can be divided into at least one service state service according to the service information of the plurality of services, and the target duty ratio of the target service in the plurality of services is determined, so that the network planning strategy is determined according to the service information and the target duty ratio of the target service. Wherein the target service is a service of any one of at least one service state.
Optionally, the service information includes an on-line duration and a traffic of each of the plurality of services within a preset time period. The method for dividing the plurality of services into at least one service state service according to the service information of the plurality of services specifically comprises the following steps: when the on-line time length of one service is in a preset time length range and the flow of one service is in a preset flow range, determining that the service state of one service is a normal state. When the online time length of one service is larger than the maximum value of the preset time length range and the flow of one service is smaller than or equal to the maximum value of the preset flow range, determining that the service state of one service is a large time length state. And when the online time length of one service is larger than the maximum value of the preset time length range and the flow of one service is larger than the maximum value of the preset flow range, determining that the service state of one service is a high flow state. And when the on-line time length of one service is smaller than the minimum value of the preset time length range, the on-line time length of one service is larger than or equal to the preset time length threshold, the flow of one service is smaller than the minimum value of the preset flow range, and the flow of one service is larger than or equal to the preset flow threshold, determining that the service state of one service is the state to be maintained. When the on-line time length of one service is smaller than a preset time length threshold and the flow of one service is smaller than a preset flow threshold, determining that the service state of one service is a low flow state.
Optionally, the method for acquiring service information of the plurality of services specifically includes: when the plurality of services are broadband internet services, acquiring the on-line time length and the flow of each service in a preset time period from a server deployed with the 3A authentication system. When the plurality of services are interactive network television IPTV services, acquiring the online time length and the flow of each service in a preset time period from content delivery network CDN equipment.
Optionally, the service information further includes a service type of each service. The method for determining the network planning strategy according to the service information of the target service and the target duty ratio specifically comprises the following steps: and determining a network planning strategy according to the online time and flow of the target service in a preset time period, the service type of the target service and the target duty ratio.
Optionally, the network planning method further includes: displaying the online time and flow of the target service in a preset time period, the service type of the target service, the target duty ratio and the service state of the target service.
In a second aspect, a network planning apparatus is provided, including: an acquisition unit and a determination unit. And the acquisition unit is used for acquiring the service information of the plurality of services. And the determining unit is used for dividing the plurality of services into at least one service state according to the service information of the plurality of services acquired by the acquiring unit. And the determining unit is also used for determining the target duty ratio of the target service in the plurality of services. The target service is a service of any one of the at least one service state. And the determining unit is also used for determining a network planning strategy according to the service information of the target service and the target duty ratio.
Optionally, the service information includes an on-line duration and a traffic of each of the plurality of services within a preset time period. The determining unit is specifically configured to: when the on-line time length of one service is in a preset time length range and the flow of one service is in a preset flow range, determining that the service state of one service is a normal state. When the online time length of one service is larger than the maximum value of the preset time length range and the flow of one service is smaller than or equal to the maximum value of the preset flow range, determining that the service state of one service is a large time length state. And when the online time length of one service is larger than the maximum value of the preset time length range and the flow of one service is larger than the maximum value of the preset flow range, determining that the service state of one service is a high flow state. And when the on-line time length of one service is smaller than the minimum value of the preset time length range, the on-line time length of one service is larger than or equal to the preset time length threshold, the flow of one service is smaller than the minimum value of the preset flow range, and the flow of one service is larger than or equal to the preset flow threshold, determining that the service state of one service is the state to be maintained. When the on-line time length of one service is smaller than a preset time length threshold and the flow of one service is smaller than a preset flow threshold, determining that the service state of one service is a low flow state.
Optionally, the acquiring unit is specifically configured to: when the plurality of services are broadband internet services, acquiring the on-line time length and the flow of each service in a preset time period from a server deployed with the 3A authentication system. When the plurality of services are interactive network television IPTV services, acquiring the online time length and the flow of each service in a preset time period from content delivery network CDN equipment.
Optionally, the service information further includes a service type of each service. The determining unit is specifically configured to: and determining a network planning strategy according to the online time and flow of the target service in a preset time period, the service type of the target service and the target duty ratio.
Optionally, the network planning apparatus further includes: and a display unit. The display unit is used for displaying the online time and flow of the target service in a preset time period, the service type of the target service, the target duty ratio and the service state of the target service.
In a third aspect, a network planning apparatus is provided, comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the network planning apparatus is running, the processor executes the computer-executable instructions stored in the memory to cause the network planning apparatus to perform the network planning method as in the first aspect.
The network planning device may be a network device or may be a part of a device in the network device, for example a chip system in the network device. The system-on-a-chip is adapted to support the network device to implement the functions involved in the first aspect and any one of its possible implementations, e.g. to receive, determine, and offload data and/or information involved in the above-mentioned data processing method. The chip system includes a chip, and may also include other discrete devices or circuit structures.
In a fourth aspect, a computer readable storage medium is provided, characterized in that the computer readable storage medium comprises computer executable instructions which, when run on a computer, cause the computer to perform the network planning method as in the first aspect.
It should be noted that the above-mentioned computer instructions may be stored in whole or in part on the first computer readable storage medium. The first computer readable storage medium may be packaged together with the processor of the network planning apparatus or may be packaged separately from the processor of the network planning apparatus, which is not limited in the present application.
In the present application, the names of the above-mentioned network planning apparatuses do not constitute limitations on the devices or function modules themselves, and in actual implementations, these devices or function modules may appear under other names. Insofar as the function of each device or function module is similar to that of the present application, it falls within the scope of the claims of the present application and the equivalents thereof.
These and other aspects of the application will be more readily apparent from the following description.
The technical scheme provided by the application has at least the following beneficial effects:
based on any one of the above aspects, in the present application, after service information of a plurality of services is acquired, the plurality of services may be divided into services of at least one service state according to the service information of the plurality of services, and a target duty ratio of a target service (i.e., a service of any one of the at least one service state) in the plurality of services is determined, so that a network planning policy is determined according to the service information and the target duty ratio of the target service. In this way, compared with the method for counting the bearing pressure brought by a plurality of services indistinguishable in the related art, the method can divide the plurality of services into the services in at least one service state, and determine the network planning strategy based on the services in any one service state, thereby improving the accuracy of developing network planning.
Drawings
Fig. 1 is a schematic structural diagram of a broadband network system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a network node device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of another network node device according to an embodiment of the present application;
Fig. 4 is a schematic structural diagram of another network node device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a network planning system according to an embodiment of the present application;
fig. 6 is a schematic diagram of a hardware structure of a communication device according to an embodiment of the present application;
fig. 7 is a schematic diagram of another hardware structure of a communication device according to an embodiment of the present application;
fig. 8 is a flowchart of a network planning method according to an embodiment of the present application;
fig. 9 is a second flowchart of a network planning method according to an embodiment of the present application;
fig. 10 is a flowchart of a network planning method according to an embodiment of the present application;
fig. 11 is a flow chart diagram of a network planning method according to an embodiment of the present application;
fig. 12 is a schematic structural diagram of a network planning apparatus according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In order to clearly describe the technical solution of the embodiment of the present application, in the embodiment of the present application, the words "first", "second", etc. are used to distinguish identical items or similar items having substantially the same function and effect, and those skilled in the art will understand that the words "first", "second", etc. are not limited in number and execution order.
Furthermore, the terms "comprising" and "having" in the embodiments of the application and in the claims and drawings are not exclusive. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules but may include other steps or modules not listed.
In order to facilitate understanding of the present application, related concepts related to the embodiments of the present application will now be described.
Fig. 1 is a schematic diagram of a conventional broadband network system. The video server in fig. 1 may be deployed with a module having an electronic program guide (electronic program guide, EPG) function, or a Content Provider (CP), an application Service Provider (SP), or the like.
Alternatively, the video server in fig. 1 is a device belonging to a metropolitan area network. Metropolitan area networks may also include content delivery network (content delivery network, CDN) devices. The CDN equipment is intelligent virtual network equipment constructed on the basis of the existing network, and by means of the edge servers deployed in various places, the service can obtain required content nearby through load balancing, content distribution, scheduling and other functional modules of the center platform, network congestion is reduced, and service access response speed and hit rate are improved.
The switch (LSW) in fig. 1 that establishes a communication connection with the video server may be a broadband access server (broadband remote access server, BRAS). The BRAS can record uplink and downlink flows of different services in a preset time period and push the uplink and downlink flows to a server deployed with a 3A authentication system.
The access network management system of fig. 1 may include a network element management system (element management system, EMS) and a remote management system (remote management system, RMS).
The EMS is a special network manager of the network equipment, and can interact with the network equipment through a simple network management protocol (simple network management protocol, SNMP) so as to acquire at least one of configuration information, service flow information or service quantity information of the network equipment. Based on EMS, the traffic of each port under the optical line terminal (optical line terminal, OLT) equipment in FIG. 1 can be collected, and the traffic can be hung on an access network management system.
Alternatively, fig. 2 is a schematic structural diagram of the OLT apparatus. As shown in fig. 2, a plurality of passive optical network (passive optical network, PON) boards (i.e., PON boards) mainly for traffic within OLT apparatus N ) Having a plurality of PON ports (i.e. I PN-L ) Is connected to the main control board through the backboard. The main control board identifies and processes the flow of the virtual local area network (virtual local area network, VLAN) in the uplink and downlink directions, and simultaneously sends the live video program flow to each PON port through a downlink multicast mechanism (and a TRUNK mechanism for converging different VLAN flows). The upper connecting plate is mainly connected with equipment such as a large two-layer exchanger and the like through each upper connecting port. Upstream traffic involves convergence and load sharing settings between different upstream interfaces.
The optical distribution network (optical distribution network, ODN) device in fig. 1 may be a primary splitter, a secondary splitter, or the like.
It is understood that the interface between the OLT and the core network switch is an upstream interface. The interface between the OLT and the ODN is a PON interface. An OLT may have multiple PON ports. Each PON port is connected to one ODN. The ODN may connect a plurality of optical network units (optical network unit, ONUs) according to a split ratio.
It should be noted that, for simplicity of explanation, only two ODNs and 5 ONUs are shown in fig. 1, and in practical application, each OLT may be connected to multiple ODNs according to an actual device model of the OLT.
Alternatively, the ONU in fig. 1 may be a multi-dwelling user terminal (MDU). As shown in fig. 3, a schematic structural diagram of the MDU is shown. The dynamic bandwidth allocation (dynamically bandwidth assignment, DBA) in fig. 3 can be dynamically allocated according to the service requirements, which can greatly improve the bandwidth utilization and enable the setting of service priorities to achieve communication of different service classes. VD2 is the second generation very high speed digital subscriber line (VDSL 2), POTS is the analog telephony service.
MDUs are classified into two types, integrated and plug-in. The card-inserting type is similar to the OLT, and a plurality of boards are inserted on the back board. The difference is that the office side is a PON port, and the service side may be a LAN port plate, a VD2 (i.e., VDSL2 plate), or a POTS port plate, depending on the configuration. PON port upstream involves the DBA mechanism.
Optionally, the ONU in fig. 1 may also be a home gateway unit (home gateway unit, HGU). Fig. 4 is a schematic diagram of an HGU structure. T-CONT in fig. 4 is a transport container, FE is fast ethernet, ALLOC-ID is an assigned identifier, WLAN is a wireless local area network, and LOID is a logical identifier. The HGU is an integrated device. The local side is the PON port. The service side may include LAN ports (i.e., FE ports or GE ports of different rates), POTS ports, USB ports, and WLAN ports (i.e., wi-Fi), depending on the configuration. PON port upstream involves the DBA mechanism. Different PORTs are corresponding to PORT-IDs and corresponding to transmission containers T-CONT. The protocol messages typically carry ONU-IDs. The data message carries a Port-ID. The ONU-ID of the PON port broadcast frame is typically 255.
Alternatively, the service may be various services initiated by the terminal device. The terminal device may be a mobile phone, a computer, a Set Top Box (STB), a telephone set, or the like shown in fig. 1 or fig. 4, which may use various broadband services.
It should be noted that fig. 1 is only an exemplary architecture, and the network architecture may include other functional units besides the functional units shown in fig. 1, which is not limited by the embodiment of the present invention.
As described in the background art, in the related art, when analyzing service bearer pressures actually faced by an existing network, bearer pressures caused by a plurality of services are generally counted indiscriminately. However, with the diversification of service types (such as 200M bandwidth service, 1000M bandwidth service, etc.), the difference of the bearing pressure caused by the service of different service types is also increasing, and the related art cannot guarantee the accuracy of statistics.
Therefore, how to effectively perform network evaluation, so as to accurately perform network planning work has become a problem to be solved.
In view of the above problems, an embodiment of the present application provides a network planning method, after acquiring service information of a plurality of services, the plurality of services may be divided into services in at least one service state according to the service information of the plurality of services, and a target duty ratio of a target service (i.e., a service in any one of the at least one service state) in the plurality of services is determined, so that a network planning policy is determined according to the service information and the target duty ratio of the target service. In this way, compared with the method for counting the bearing pressure brought by a plurality of services indistinguishable in the related art, the method can divide the plurality of services into the services in at least one service state, and determine the network planning strategy based on the services in any one service state, thereby improving the accuracy of developing network planning.
The network planning method is suitable for a network planning system. Fig. 5 shows a structure of the network planning system 100. As shown in fig. 5, the network planning system 100 includes: network planning apparatus 101, server 102 deployed with a 3A authentication system, and CDN device 103. The network planning device 101 may be in communication connection with the server 102, or may be in communication connection with the CDN device 103.
Optionally, the network planning apparatus 101 in fig. 1 may be a terminal, a server, or other electronic devices for network planning.
Alternatively, when the network planning apparatus 101 is a terminal, the terminal is a device that provides voice and/or data connectivity to a user, a handheld device with wireless connection functionality, or other processing device connected to a wireless modem. The wireless terminal may communicate with one or more core networks via a radio access network (radio access network, RAN). The wireless terminal may be a mobile terminal, such as a computer with a mobile terminal, or a portable, pocket, hand-held, computer-built-in mobile device that exchanges voice and/or data with a radio access network, e.g., a cell phone, tablet, notebook, netbook, personal digital assistant (personal digital assistant, PDA). The embodiment of the present application is not limited in any way.
Alternatively, when the network planning apparatus 101 is a server, the server may be a server that is set independently of the server 102, or may be a functional module in the server 102.
Alternatively, when the network planning apparatus 101 is a server that is provided independently of the server 102, both the network planning apparatus 101 and the server 102 may be a single server, or may be a server cluster formed of a plurality of servers. In some implementations, the server cluster may also be a distributed cluster. The embodiment of the present application is not limited in any way.
It will be readily appreciated that when network planning apparatus 101 is a functional module within server 102, the manner of communication between network planning apparatus 101 and server 102 is communication between modules within the server. In this case, the communication flow between the two is the same as "in the case where the network planning apparatus 101 and the server 102 are independent of each other".
For ease of understanding, the present application will be described mainly by taking the example that the network planning apparatus 101 and the server 102 are provided independently of each other.
Server 102 may be configured to collect and provide network planning apparatus 101 with the online time and traffic for broadband internet service of the plurality of services over a preset period of time.
The CDN device 103 may also be configured to collect and provide online time and traffic of an interactive internet television (internet protocol television, IPTV) service of the plurality of services to the network planning apparatus 101 within a preset time period.
The basic hardware structure of the network planning apparatus 101, the server 102 and the CDN device 103 in the network planning system 100 is similar, and includes elements included in the communication apparatus shown in fig. 6 or fig. 7. The following describes the hardware configuration of the network planning apparatus 101, the server 102, and the CDN device 103, taking the communication apparatuses shown in fig. 6 and fig. 7 as examples.
Fig. 6 is a schematic diagram of a hardware structure of a communication device according to an embodiment of the present application. The communication device comprises a processor 21, a memory 22, a communication interface 23, a bus 24. The processor 21, the memory 22 and the communication interface 23 may be connected by a bus 24.
The processor 21 is a control center of the communication device, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 21 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As one example, processor 21 may include one or more CPUs, such as CPU0 and CPU1 shown in fig. 6.
Memory 22 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
In a possible implementation, the memory 22 may exist separately from the processor 21, and the memory 22 may be connected to the processor 21 by a bus 24 for storing instructions or program code. The processor 21, when calling and executing instructions or program code stored in the memory 22, is capable of implementing the network planning method provided in the following embodiments of the present application.
In the embodiment of the present application, the software programs stored in the memory 22 are different for the network planning apparatus 101, the server 102 and the CDN device 103, so the functions implemented by the network planning apparatus 101, the server 102 and the CDN device 103 are different. The functions performed with respect to the respective devices will be described in connection with the following flowcharts.
In another possible implementation, the memory 22 may also be integrated with the processor 21.
A communication interface 23 for connecting the communication device with other devices via a communication network, which may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN) or the like. The communication interface 23 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.
Bus 24 may be an industry standard architecture (industry standard architecture, ISA) bus, an external device interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.
It should be noted that the structure shown in fig. 6 does not constitute a limitation of the communication device, and the communication device may include more or less components than shown in fig. 6, or may combine some components, or may be arranged in different components.
Fig. 7 shows another hardware configuration of the communication apparatus in the embodiment of the present application. As shown in fig. 7, the communication device may include a processor 31 and a communication interface 32. The processor 31 is coupled to a communication interface 32.
The function of the processor 31 may be as described above with reference to the processor 21. The processor 31 also has a memory function and can function as the memory 22.
The communication interface 32 is used to provide data to the processor 31. The communication interface 32 may be an internal interface of the communication device or an external interface of the communication device (corresponding to the communication interface 23).
It should be noted that the structure shown in fig. 6 (or fig. 7) does not constitute a limitation of the communication apparatus, and the communication apparatus may include more or less components than those shown in fig. 6 (or fig. 7), or may combine some components, or may be arranged in different components.
Fig. 8 is a schematic flow chart of a network planning method according to an embodiment of the present application. The network planning method is applied to the network planning device. The network planning device belongs to a network planning system composed of the network planning device, the server and the CDN equipment shown in fig. 1. The network planning method comprises the following steps: S801-S804.
S801, a network planning device acquires service information of a plurality of services.
The plurality of services may be broadband internet service or IPTV service initiated by a plurality of users corresponding to the plurality of services through a terminal device. The service information comprises the online time length and the traffic of each service in the plurality of services in a preset time period.
Alternatively, the multiple users may be all users in an area (for example, a city, a county, an operator service grid, etc.), all users under one or more designated devices (for example, OLT devices), all users under one or more designated PON ports, multiple users corresponding to multiple designated broadband internet service accounts, or multiple users corresponding to multiple designated IPTV service accounts.
Alternatively, when a network planning work (e.g., channel resource creation, etc.) needs to be performed for one area, the network planning apparatus may acquire service information of a plurality of services in the one area from a server in which the service information in the one area is recorded.
Alternatively, when it is necessary to perform a network planning work (e.g., capacity expansion, etc.) for one specified device, the network planning apparatus may acquire service information of a plurality of services flowing through the one specified device from a server in which service information of a plurality of services flowing through the one specified device is recorded. The embodiments of the present application are not limited in this regard.
S802, the network planning device divides the plurality of services into at least one service state according to the service information of the plurality of services.
Optionally, the service state may be a normal state for indicating that the network account corresponding to the service is in a normal use state, or an abnormal state for indicating that the network account corresponding to the service is in an abnormal use state, or other service states for indicating the use condition of the network account corresponding to the service.
Specifically, the manner in which the network planning apparatus divides the plurality of services into the services of the at least one service state according to the service information of the plurality of services may include, but is not limited to, the following two manners.
The first way is:
specifically, after acquiring service information of a plurality of services, the network planning device may divide, from the plurality of services, services whose online time length is within a first time length range in a preset time period into services in a normal online state, and services whose online time length is outside the first time length range in the preset time period into services in an abnormal offline state.
The normal online state is used for indicating that the online time of the network account corresponding to the service in the state is normal time. The abnormal offline state is used for indicating that the online time length of the network account corresponding to the service in the state is abnormal.
Alternatively, the first time period range may be empirically preset by personnel. For example, the first time period may range from 50 hours to 100 hours.
The second way is:
specifically, after acquiring service information of a plurality of services, the network planning device may divide, from the plurality of services, services whose flow is in a first flow range in a preset time period into services in a normal flow state, and services whose flow is out of the first flow range in the preset time period into services in an abnormal flow state.
The normal traffic state is used for indicating that traffic usage conditions of the network account corresponding to traffic in the normal traffic state are normal. The abnormal traffic state is used for indicating that the traffic use condition of the network account corresponding to the service in the abnormal traffic state is abnormal.
Alternatively, the first flow range may be preset empirically by hand. For example, the first flow range may be 20GB to 50GB.
S803, the network planning device determines the target duty ratio of the target service in the plurality of services.
Specifically, after dividing the plurality of services into at least one service state, the network planning device may determine a target duty ratio of the target service in the plurality of services, so as to determine a service bearing pressure brought by the target service, thereby accurately developing network planning.
Wherein the target service is a service of any one of at least one service state.
S804, the network planning device determines a network planning strategy according to the service information of the target service and the target duty ratio.
Specifically, after determining the target duty ratio of the target service in the multiple services, the network planning device may determine a network planning policy according to the service information and the target duty ratio of the target service, so as to perform network construction or optimization work for areas or designated devices corresponding to the multiple services.
Illustratively, the plurality of services are preset as broadband internet services initiated by all users in one residential cell, and service states of the plurality of services are divided into a high traffic state, a normal traffic state and a low traffic state. Wherein, the duty ratio of the service in the high flow state in the plurality of services is 30%, the duty ratio of the service in the normal flow state in the plurality of services is 60%, and the duty ratio of the service in the low flow state in the plurality of services is 10%.
When the target service is a service with a service state of high traffic, the network planning device determines that the residential district needs to expand the capacity of the communication line according to the duty ratio of the service with the high traffic state and the service information.
When the target service is a service with a normal traffic state, the network planning device determines, according to the duty ratio of the service with the normal traffic state and the service information, that the network planning strategy can be channel resources and hardware devices, etc. that need to be configured, of a cell similar to the residential cell.
When the target service is a service with a low traffic state, the network planning device determines, according to the duty ratio of the service with a high traffic state and the service information, that the residential district needs to perform user maintenance (for example, perform traffic free giving activities, etc.).
In one implementation manner, as shown in fig. 9 in connection with fig. 8, in S802, the method for dividing, by the network planning apparatus, a plurality of services into services of at least one service state according to service information of the plurality of services specifically includes: S901-S905.
S901, when the on-line time length of a service is within a preset time length range and the flow of the service is within a preset flow range, the network planning device determines that the service state of the service is a normal state.
Alternatively, the preset duration range may be preset empirically by a person. For example, the preset duration may range from 5 hours to 140 hours.
Alternatively, the preset flow range may be preset empirically by hand. For example, the preset flow range may be 20MB to 160GB.
Optionally, the preset flow range may be specifically set according to a service type of the service. For example, for a service with a service type of 200M, the preset traffic range is set to 20MB to 160GB. For a service with a service type of 500M, the preset traffic range may be set to 30MB to 240GB.
S902, when the online time of a service is longer than the maximum value of the preset time range and the flow of the service is smaller than or equal to the maximum value of the preset flow range, the network planning device determines that the service state of the service is a large time state.
Optionally, when the service is a broadband internet service, the long-duration state may be used to indicate that the service account corresponding to the service is in a router long-term online state.
When the service is an IPTV service, the long-duration state may be used to indicate that the service account corresponding to the service is in a long-term standby state of the set-top box.
It should be noted that, the service in the long-duration state may reduce accuracy of statistics of concurrency rate, and may bring a larger service bearing pressure.
Optionally, when the service is an IPTV service, the network planning device may further obtain an operation record (for example, switching a television program) of the television remote controller and the television program in a module having an EPG function in the video server, so as to accurately determine whether the service account corresponding to the service is in a long-term standby state of the set-top box.
S903, when the on-line time of a service is longer than the maximum value of the preset time range and the flow of the service is greater than the maximum value of the preset flow range, the network planning device determines that the service state of the service is a high flow state.
Optionally, the high traffic state may be used to indicate that the service account corresponding to the one service is in a high bandwidth private state.
It should be noted that the traffic usage of the high traffic state traffic cannot be used to guide the network planning. And when the corresponding occupation of the service in the state is relatively high, the network planning device can determine that the communication line is required to be expanded.
S904, when the on-line time length of one service is smaller than the minimum value of the preset time length range, the on-line time length of one service is larger than or equal to the preset time length threshold, the flow of one service is smaller than the minimum value of the preset flow range, and the flow of one service is larger than or equal to the preset flow threshold, the network planning device determines that the service state of one service is the state to be maintained.
Optionally, the to-be-maintained state may be used to indicate that the service account corresponding to the service is in a state where the flow is kept extremely low and the online time is extremely short.
Alternatively, the preset duration threshold may be preset empirically by a person. For example, the preset duration threshold may be 1 hour.
Alternatively, the preset flow threshold may be preset empirically by a person. For example, the preset flow threshold may be 10MB.
It should be noted that, there may be a tendency of loss for the user corresponding to the service in the state to be maintained. When the occupancy of the service in this state is relatively high, the network planning apparatus can determine that the user relationship maintenance and the like need to be performed in a targeted manner.
S905, when the on-line time length of a service is smaller than a preset time length threshold and the flow of the service is smaller than a preset flow threshold, the network planning device determines that the service state of the service is a low flow state.
Alternatively, the low traffic state may be used to indicate that the service account corresponding to the one service is in a deactivated state (e.g., a shutdown user, etc.), or that the account is not in use.
Optionally, when the service account corresponding to the service in the low flow state occupies a relatively high area, the network planning device can determine that the channel resource has a waste condition, and needs to perform bandwidth volume reduction, optimization and the like in a targeted manner.
It should be noted that, steps S901 to S905 are five different implementations of dividing the service states of the plurality of services for the network planning apparatus, and do not limit the execution sequence thereof. When one of steps S901 to S905 is performed, the other steps are not performed. For example, when S901 is performed, S902-S905 are not performed.
In one implementation manner, as shown in fig. 10 in connection with fig. 8, in S801, a method for obtaining service information of a plurality of services by a network planning device specifically includes: S1001-S1002.
S1001, when a plurality of services are broadband internet services, the network planning device acquires the on-line time length and the flow of each service in a preset time period from a server deployed with a 3A authentication system.
Optionally, the server deployed with the 3A authentication system may acquire and store the online time and traffic of each broadband internet service from the BRAS in real time or periodically.
Optionally, when service information of a plurality of broadband internet services needs to be acquired, the network planning device may send a request message for acquiring service information of the plurality of broadband internet services to a server deployed with the 3A authentication system. The service information of the plurality of broadband internet services comprises the online time and the online flow of each broadband internet service in the plurality of broadband internet services in a preset time period.
In response to the request message, the server deployed with the 3A authentication system may read service information of the plurality of services and transmit the service information of the plurality of services to the network planning apparatus. Accordingly, the network planning device may receive service information of a plurality of services.
Optionally, the network planning device may further obtain a peak traffic reference value of each service in the plurality of services. For example, in the downlink direction, the sum of the flows of all the big two-layer switches in a city in the downlink direction in a specific time period (i.e. the maximum outflow rate value of all the BRAS uplink trunk switches in a specific area) may be taken as the sum, and then divided by the total number of online services during the peak period acquired by the BRAS platform, so as to obtain the peak value of each service.
S1002, when the plurality of services are IPTV services, the network planning device obtains, from the CDN device, an online duration and a traffic of each service in a preset period of time.
Optionally, the CDN device may prestore an online duration and a traffic of each IPTV service.
Optionally, when the plurality of services are IPTV services, the method for the network planning device to obtain the online time length and the traffic of each service in the preset time period from the CDN device may refer to the method for the network planning device to obtain the service information of the plurality of broadband internet surfing services in S1001, which is not described herein.
It should be noted that, steps S1001 and S1002 are two different implementations of acquiring service information of a plurality of services for the network planning apparatus, and the execution sequence thereof is not limited. For example, when S1001 is executed, S1002 is not executed. When S1002 is executed, S1001 is not executed.
In one implementation, as shown in fig. 11 in conjunction with fig. 9, the service information also includes a service type for each service. The method for determining the network planning strategy by the network planning device according to the service information of the target service and the target duty ratio specifically comprises the following steps: s1101.
S1101, determining a network planning strategy according to the online time and flow of the target service in a preset time period, the service type of the target service and the target duty ratio.
Alternatively, the service type may be 200M bandwidth, 500M bandwidth, 800M bandwidth, 1G bandwidth, and other service types.
It should be noted that, when the duty ratio of the service in the normal state of the 200M bandwidth is 80%, the network planning device determines, according to the on-line duration and the traffic of the service in the preset time period, the ratio of the traffic to the number of services as a reference value of the normal single-day service traffic of the service type, or may also determine the ratio of the traffic to the preset time period as the single-day traffic pressure to be carried in one area, so as to determine the channel resources and hardware devices to be configured in the newly-set service area.
When the duty ratio of the service in the large-duration state of 200M bandwidth is 30%, the network planning device can determine that the service in the large-duration state can reduce the accuracy of the statistical concurrency rate, and can bring a larger service bearing pressure, and the communication line expansion needs to be planned in the area or equipment corresponding to the service.
When the duty ratio of the service in the high-flow state with the 200M bandwidth is 20%, the network planning device can determine that the flow service condition of the service in the high-flow state cannot be used for guiding network planning, and the expansion of the communication line needs to be planned in the area or the equipment corresponding to the service.
When the duty ratio of the service in the to-be-maintained state of the 200M bandwidth is 20%, the network planning device can determine that the user corresponding to the service in the to-be-maintained state may have a tendency of loss, and the user relationship maintenance and the like need to be performed in a targeted manner.
When the duty ratio of the service in the low-flow state of 200M bandwidth is 30%, the network planning device can determine that the waste condition exists in the area corresponding to the service state or the channel resource and hardware equipment of the equipment, and the bandwidth reduction, optimization and the like are required to be performed in a targeted manner.
It can be appreciated that in determining whether the duty ratio of the service in the above-mentioned various service states is higher or lower, the network planning device may determine the duty ratio threshold manually and empirically preset.
In one implementation, the network planning method further includes: s1201.
And S1201, the network planning device displays the online time and flow of the target service in a preset time period, the service type of the target service, the target duty ratio and the service state of the target service.
Optionally, the network planning device may display the online time and the flow of the target service in a preset time period, the service type of the target service, the target duty ratio and the service state of the target service in a form of a table, a graph or a histogram.
Optionally, the network planning device may determine a single day cumulative flow of the target service according to the online time length and the flow of the target service.
Alternatively, the network planning device may multiply the single-day accumulated flow of the target service by a preset ratio to determine the peak flow reference value of the target service.
Optionally, the network planning device may also obtain the peak flow reference value through real-time or periodic measurement. For example, the peak traffic reference value is measured at the BRAS every five minutes.
Alternatively, the network planning apparatus may display peak traffic reference values, daily cumulative traffic, zhou Zaixian duration, and duty ratio of traffic of different traffic states for each traffic type in table 1 below.
TABLE 1
In the application, after acquiring the service information of the plurality of services, the network planning device can divide the plurality of services into the services of at least one service state according to the service information of the plurality of services, and determine the target duty ratio of the target service (i.e. the service of any one service state in the at least one service state) in the plurality of services, thereby determining the network planning strategy according to the service information and the target duty ratio of the target service. In this way, compared with the method of indistinguishing and counting the bearing pressure brought by a plurality of services in the related art, the network planning device can divide the plurality of services into the services in at least one service state, and determine the network planning strategy based on the services in any service state, thereby improving the accuracy of developing network planning.
The foregoing description of the solution provided by the embodiments of the present application has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application can divide the functional modules of the network planning device according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiment of the present application is schematic, which is merely a logic function division, and other division manners may be implemented in practice.
Fig. 12 is a schematic structural diagram of a network planning apparatus according to an embodiment of the present application. The network planning apparatus may be used to perform the network planning method as shown in fig. 8 to 11. The network planning apparatus shown in fig. 12 includes: an acquisition unit 1301 and a determination unit 1302.
An acquiring unit 1301 is configured to acquire service information of a plurality of services. For example, in connection with fig. 8, the acquisition unit 1301 may be used to perform S801.
A determining unit 1302, configured to divide the plurality of services into services in at least one service state according to the service information of the plurality of services acquired by the acquiring unit 1301. For example, in connection with fig. 8, the determination unit 1302 may be used to perform S802.
The determining unit 1302 is further configured to determine a target duty ratio of the target service in the plurality of services. The target service is a service of any one of the at least one service state. For example, in connection with fig. 8, the determination unit 1302 may be used to perform S803.
The determining unit 1302 is further configured to determine a network planning policy according to the service information of the target service and the target duty ratio. For example, in connection with fig. 8, the determination unit 1302 may be used to perform S804.
Optionally, the service information includes an on-line duration and a traffic of each of the plurality of services within a preset time period. The determining unit 1302 is specifically configured to:
when the on-line time length of one service is in a preset time length range and the flow of one service is in a preset flow range, determining that the service state of one service is a normal state. For example, in connection with fig. 9, the determination unit 1302 may be used to perform S901.
When the online time length of one service is larger than the maximum value of the preset time length range and the flow of one service is smaller than or equal to the maximum value of the preset flow range, determining that the service state of one service is a large time length state. For example, in connection with fig. 9, the determination unit 1302 may be used to perform S902.
And when the online time length of one service is larger than the maximum value of the preset time length range and the flow of one service is larger than the maximum value of the preset flow range, determining that the service state of one service is a high flow state. For example, in connection with fig. 9, the determination unit 1302 may be used to perform S903.
And when the on-line time length of one service is smaller than the minimum value of the preset time length range, the on-line time length of one service is larger than or equal to the preset time length threshold, the flow of one service is smaller than the minimum value of the preset flow range, and the flow of one service is larger than or equal to the preset flow threshold, determining that the service state of one service is the state to be maintained. For example, in connection with fig. 9, the determination unit 1302 may be used to perform S904.
When the on-line time length of one service is smaller than a preset time length threshold and the flow of one service is smaller than a preset flow threshold, determining that the service state of one service is a low flow state. For example, in connection with fig. 9, the determination unit 1302 may be used to perform S905.
Optionally, the acquiring unit 1301 is specifically configured to:
when the plurality of services are broadband internet services, acquiring the on-line time length and the flow of each service in a preset time period from a server deployed with the 3A authentication system. For example, in connection with fig. 10, the acquisition unit 1301 may be used to perform S1001.
When the plurality of services are interactive network television IPTV services, acquiring the online time length and the flow of each service in a preset time period from content delivery network CDN equipment. For example, in connection with fig. 10, the acquisition unit 1301 may be used to perform S1002.
Optionally, the service information further includes a service type of each service. The determining unit 1302 is specifically configured to:
and determining a network planning strategy according to the online time and flow of the target service in a preset time period, the service type of the target service and the target duty ratio. For example, in connection with fig. 11, the determination unit 1302 may be configured to perform S1101.
Optionally, the network planning apparatus further includes: and a display unit 1303.
And the display unit 1303 is used for displaying the online time and the flow of the target service in a preset time period, the service type of the target service, the target duty ratio and the service state of the target service.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer-readable storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and the division of modules or units, for example, is merely a logical function division, and other manners of division are possible when actually implemented. For example, multiple units or components may be combined or may be integrated into another device, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and the parts shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present application should be included in the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (10)
1. A method of network planning, comprising:
acquiring service information of a plurality of services;
dividing the plurality of services into at least one service state service according to the service information of the plurality of services;
determining a target duty cycle of a target service in the plurality of services; the target service is a service of any one of the at least one service state;
determining a network planning strategy according to the service information of the target service and the target duty ratio;
the service information comprises the online time length and the flow of each service in the plurality of services in a preset time period; the dividing the plurality of services into at least one service state service according to the service information of the plurality of services includes:
When the online time length of one service is within a preset time length range and the flow of the one service is within a preset flow range, determining that the service state of the one service is a normal state;
when the online time length of the service is larger than the maximum value of the preset time length range and the flow of the service is smaller than or equal to the maximum value of the preset flow range, determining that the service state of the service is a long-time length state;
when the online time length of the service is larger than the maximum value of the preset time length range and the flow of the service is larger than the maximum value of the preset flow range, determining that the service state of the service is a high flow state;
when the online time length of the service is smaller than the minimum value of the preset time length range, the online time length of the service is larger than or equal to a preset time length threshold, the flow of the service is smaller than the minimum value of the preset flow range, and the flow of the service is larger than or equal to a preset flow threshold, determining that the service state of the service is a state to be maintained;
and when the on-line time length of the service is smaller than the preset time length threshold and the flow of the service is smaller than the preset flow threshold, determining that the service state of the service is a low flow state.
2. The network planning method according to claim 1, wherein the acquiring service information of the plurality of services includes:
when the plurality of services are broadband internet surfing services, acquiring the online time length and the flow of each service in a preset time period from a server deployed with a 3A authentication system;
and when the plurality of services are the IPTV services, acquiring the online time length and the flow of each service in a preset time period from content delivery network CDN equipment.
3. The network planning method of claim 1, wherein the service information further includes a service type of each service; the determining a network planning strategy according to the service information of the target service and the target duty ratio comprises the following steps:
and determining the network planning strategy according to the online time and flow of the target service in a preset time period, the service type of the target service and the target duty ratio.
4. A network planning method according to claim 3, further comprising:
displaying the online time and flow of the target service in a preset time period, the service type of the target service, the target duty ratio and the service state of the target service.
5. A network planning apparatus, comprising: an acquisition unit and a determination unit;
the acquisition unit is used for acquiring service information of a plurality of services;
the determining unit is used for dividing the plurality of services into services in at least one service state according to the service information of the plurality of services acquired by the acquiring unit;
the determining unit is further configured to determine a target duty ratio of a target service in the multiple services; the target service is a service of any one of the at least one service state;
the determining unit is further configured to determine a network planning policy according to the service information of the target service and the target duty ratio;
the service information comprises the online time length and the flow of each service in the plurality of services in a preset time period; the determining unit is specifically configured to:
when the online time length of one service is within a preset time length range and the flow of the one service is within a preset flow range, determining that the service state of the one service is a normal state;
when the online time length of the service is larger than the maximum value of the preset time length range and the flow of the service is smaller than or equal to the maximum value of the preset flow range, determining that the service state of the service is a long-time length state;
When the online time length of the service is larger than the maximum value of the preset time length range and the flow of the service is larger than the maximum value of the preset flow range, determining that the service state of the service is a high flow state;
when the online time length of the service is smaller than the minimum value of the preset time length range, the online time length of the service is larger than or equal to a preset time length threshold, the flow of the service is smaller than the minimum value of the preset flow range, and the flow of the service is larger than or equal to a preset flow threshold, determining that the service state of the service is a state to be maintained;
and when the on-line time length of the service is smaller than the preset time length threshold and the flow of the service is smaller than the preset flow threshold, determining that the service state of the service is a low flow state.
6. The network planning device according to claim 5, wherein the obtaining unit is specifically configured to:
when the plurality of services are broadband internet surfing services, acquiring the online time length and the flow of each service in a preset time period from a server deployed with a 3A authentication system;
And when the plurality of services are the IPTV services, acquiring the online time length and the flow of each service in a preset time period from content delivery network CDN equipment.
7. The network planning apparatus of claim 5 wherein the service information further comprises a service type of each service; the determining unit is specifically configured to:
and determining the network planning strategy according to the online time and flow of the target service in a preset time period, the service type of the target service and the target duty ratio.
8. The network planning apparatus of claim 7, further comprising: a display unit;
the display unit is used for displaying the online time length and the flow of the target service in a preset time period, the service type of the target service, the target duty ratio and the service state of the target service.
9. A network planning apparatus comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; the processor executing the computer-executable instructions stored in the memory when the network planning apparatus is operating, to cause the network planning apparatus to perform the network planning method of any one of claims 1-4.
10. A computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the network planning method of any one of claims 1-4.
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