WO2023217080A1 - 一种组网方法、组网装置、电子设备及存储介质 - Google Patents

一种组网方法、组网装置、电子设备及存储介质 Download PDF

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Publication number
WO2023217080A1
WO2023217080A1 PCT/CN2023/092748 CN2023092748W WO2023217080A1 WO 2023217080 A1 WO2023217080 A1 WO 2023217080A1 CN 2023092748 W CN2023092748 W CN 2023092748W WO 2023217080 A1 WO2023217080 A1 WO 2023217080A1
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Prior art keywords
networking
requirements
equipment
model
layer
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PCT/CN2023/092748
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English (en)
French (fr)
Inventor
赵文禄
李长路
包德伟
陶亮
何聪
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华为技术有限公司
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Publication of WO2023217080A1 publication Critical patent/WO2023217080A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • H04L41/0806Configuration setting for initial configuration or provisioning, e.g. plug-and-play
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/12Discovery or management of network topologies

Definitions

  • the present invention relates to the field of network communication technology, and in particular to a networking method, a networking device, electronic equipment and a storage medium.
  • Network deployment usually includes steps such as solution design, material purchase, network construction, and configuration deployment.
  • the solution design phase requires business planning, wireless network planning, equipment selection, network topology, configuration design, and writing design documents.
  • the entire Network planning at this stage is relatively complex, and each task requires a large amount of manpower intervention, which makes network deployment less efficient and brings higher labor costs.
  • This application provides a networking method, networking device, electronic equipment and storage medium, which can generate a networking solution based on networking requirements, thereby improving the efficiency of network deployment.
  • this application provides a networking method.
  • This method can be applied to electronic devices.
  • Electronic equipment obtains networking requirements.
  • networking requirements include scenario requirements, coverage requirements, equipment capability requirements, and matching requirements between upstream and downstream devices.
  • the electronic device obtains the networking structure according to the scene requirements, determines the model and the corresponding quantity of the equipment at each layer in the network structure based on the coverage requirements, equipment capability requirements and matching requirements, and connects the two adjacent layers in the network structure. equipment to generate a networking plan.
  • electronic devices can automatically generate networking solutions based on networking requirements, which reduces the degree of manual intervention in device selection and networking topology during network deployment, thereby improving the efficiency of device selection and networking topology generation. This improves the efficiency of network deployment.
  • networking requirements also include matching requirements between upstream and downstream devices, which is helpful to avoid problems such as capacity mismatch among the upstream and downstream devices connected in the networking solution, and can make the upstream and downstream devices have stronger synergy capabilities, thus benefiting Improve the overall performance of the networking solution.
  • the device capability requirements include: a first device capability sub-requirement and a second device capability sub-requirement.
  • the first device capability sub-requirement indicates the capability requirement of the first-layer device in the networking structure.
  • the second device capability sub-requirement indicates the capability requirement of other layer devices in the network structure except the first layer device.
  • the electronic equipment determines the model of the first-tier device and the number of devices corresponding to the model of the first-tier device based on the coverage requirements and the first device capability sub-requirements.
  • the number of devices corresponding to the model, the second device capability sub-requirements and the matching requirements determine the models of other layer devices and the number of devices corresponding to the models of other layer devices.
  • the electronic device first determines the recommended models of the first-tier devices and the number of devices corresponding to each recommended model based on the coverage requirements and the first device capability sub-requirements of the first-tier devices. Then starting from the first layer of equipment, the electronic equipment is based on the types and quantities of each type of downstream equipment, the second equipment capability sub-requirements of the upstream equipment, and the upstream equipment and The matching requirements between downstream equipment determine the recommended models of upstream equipment and the number of equipment corresponding to each recommended model. In this way, each layer of equipment determined through layer-by-layer matching has a higher degree of matching with its upstream and downstream equipment, which helps avoid problems such as capacity mismatch between upstream and downstream equipment.
  • the electronic device determines the number of first-tier devices based on coverage requirements, and determines one or more models of first-tier devices based on the number of first-tier devices and first device capability sub-requirements, And the number of devices corresponding to one or more models of the first-tier device.
  • coverage requirements determine the user's quantity requirements for first-tier devices. Based on the user's quantity requirements for first-tier devices and the first device capability sub-requirements of first-tier devices, one or more recommended models of first-tier devices and the number of devices corresponding to each recommended model can be determined to facilitate subsequent Based on one or more recommended models of the first layer of equipment and the number of devices corresponding to each recommended model, the recommended models of other layers of equipment and the number of devices corresponding to the recommended models are determined.
  • the electronic device obtains user feedback information and popularity information of each type of device in the available device set, and determines the group based on coverage requirements, device capability requirements, matching requirements, user feedback information, and popularity information.
  • the electronic device when it determines the model of each layer of equipment and the corresponding quantity of the model, in addition to the networking requirements, it also considers user feedback information and popularity information of each model of each layer of equipment.
  • User feedback information can indicate the preference of historical users for various models of devices at each layer.
  • Popularity information can represent the registration status and/or usage status of each model of equipment at each level, which is helpful to avoid recommending out-of-stock, unpopular, or discontinued models to users. Therefore, the devices at each layer determined based on networking requirements, user feedback information, and popularity information can be more popular devices that are more in line with user demands.
  • the electronic device determines one or more models of the first-tier device and the first-tier device based on the number of first-tier devices, first device capability sub-requirements, user feedback information, and popularity.
  • the number of devices corresponding to one or more models, and based on the model of the first-tier device, the number of devices corresponding to the model of the first-tier device, the second device capability sub-requirements, matching requirements, user feedback information and popular The level information determines one or more models of other layer equipment and the number of devices corresponding to one or more models of other layer equipment.
  • the user feedback information and popularity information of the devices at that layer are also considered, so that more popular and more popular devices can be recommended.
  • the electronic device obtains user feedback scores of various types of devices in each historical networking solution from historical users for each of the multiple historical networking solutions. For any one model of equipment in multiple historical networking solutions, the electronic device obtains user feedback information for any one model of equipment based on the user feedback scores of any one model of equipment in different historical networking solutions.
  • Various types of equipment in each historical networking solution include various types of equipment in the available device set.
  • the user feedback score of each historical networking solution is used as the user feedback score of each type of networking device in each historical networking solution.
  • its user feedback information is calculated based on its user feedback scores in different historical networking solutions. From this, the user feedback information of each type of equipment in the available equipment set can be obtained, so that the recommended types of equipment at each layer and the corresponding quantities of each type can be determined later based on the user feedback information of each type of equipment in the available equipment set.
  • the electronic device filters out multiple models of any device registered within a preset time period based on the device registration time for any device in the available device set. Based on the number of registrations of each of the multiple models within the preset time period, the electronic device determines the frequency of new additions of each of the multiple models. Based on the number of times each of the multiple models is online within a preset time period, the electronic device determines the frequency of use of each of the multiple models. The electronic device obtains the popularity information of each model among multiple models based on the frequency of new additions and frequency of use.
  • the electronic device can sort each model based on the registration number of each model registered by any device within a preset time period, and obtain the ranking of the registration quantity of each model.
  • the score of each model is determined based on the registration number ranking, and the score is used as the frequency of new additions of each model.
  • the models can also be sorted based on the online times of each model registered for any device within a preset time period to obtain the ranking of each model's online times. Based on the online ranking, another score is obtained for each model, and this score is used as the frequency of use of each model.
  • the popularity information of each model is determined based on the frequency of use and the frequency of new additions, so that the recommended models of each layer of equipment and the corresponding quantity of each model can be subsequently determined based on the popularity information of each model of any device. .
  • the networking requirements also include: verification requirements
  • the electronic device also evaluates the networking solution based on the verification requirements and displays the evaluation results.
  • the electronic device can evaluate (or verify) the generated networking solution according to the verification requirements, and output the evaluation results. Users can refer to the evaluation results to determine whether to adopt the networking solution, or determine which requirements need to be adjusted.
  • the verification requirements include: model requirement matching degree check sub requirements and connection relationship matching degree check sub requirements.
  • the evaluation results include: the networking score of the networking solution.
  • the electronic device evaluates the model demand matching degree of each device in the networking solution according to the model demand matching degree check sub-requirements to obtain the model demand matching degree score of the networking solution, and evaluates the matching degree according to the connection relationship matching degree check sub-requirements.
  • the matching degree of the connection relationship between the devices in the networking plan is evaluated to obtain the connection relationship matching score of the networking plan, and based on the model requirement matching score of the networking plan and the connection relationship matching score of the networking plan, the group is obtained Net rating.
  • the networking plan is evaluated and verified from aspects such as the matching degree of model requirements and the matching degree of connection relationships, and the networking score is calculated from the matching degree score of model requirements and the matching degree of connection relationship.
  • the networking score can reflect the matching degree and overall performance of the networking solution with user needs. Therefore, the networking score is presented to the user so that the user can refer to the networking score to determine whether to adopt the networking solution.
  • the evaluation results also include: the model requirement matching score of each model of equipment in the networking plan and the connection relationship matching score corresponding to the connection between each two devices in the networking plan. .
  • levels can be set for the model requirement matching check sub-requirements of each model of equipment and the connection relationship matching check sub-requirements between each two devices.
  • This level can represent the importance of the matching syndrome requirements of the model requirements of each model of equipment and the matching syndrome requirements of the connection relationship between each two devices.
  • the electronic device can display the model requirement matching degree score corresponding to each model requirement matching degree check sub-requirement and the connection relationship matching degree score corresponding to each connection relationship matching degree check sub-requirement according to this level, thereby facilitating user intuition. It can be clearly seen that this networking solution meets the poor syndrome requirements, which is beneficial to trigger users to adjust their networking requirements.
  • the model requirement matching score of each model of device and/or the connection relationship matching score corresponding to the connection between each two devices includes score items that are less than a preset score.
  • the electronic device receives the new networking requirements and regenerates the networking plan based on the new networking requirements.
  • the new networking requirement refers to the networking requirement information re-entered by the user based on the score item that is less than the preset score. Rating items that are less than the preset score indicate that the networking solution meets poor syndrome requirements, but the user's original intention may require that the networking solution better meet the syndrome requirements. Therefore, displaying rating items that are less than the preset score can trigger the user to adjust the requirement information he or she has input previously, so as to prompt the electronic device to generate a new networking solution based on the re-entered user networking requirement.
  • the electronic device determines multiple target historical networking solutions from multiple historical networking solutions.
  • the application scenarios of multiple target historical networking solutions are the same as those of the networking solution.
  • Feedback rating Obtain the statistics of user feedback ratings of various types of devices in multiple target historical networking solutions.
  • various types of equipment in the multiple target historical networking plans include various types of equipment in the networking plan. Based on this statistic, the user satisfaction score of each type of equipment in the networking solution is determined. According to the user satisfaction scores of each type of equipment in the networking plan, the user satisfaction score of the networking plan is obtained, and the user satisfaction score of the networking plan is displayed.
  • the user satisfaction score of the networking plan is presented to the user.
  • the user satisfaction score of the networking plan can be used as another reference indicator besides the networking score to help the user decide whether to adopt the networking plan. .
  • the electronic device obtains the candidate networking score of the networking plan based on the model requirement matching score of the networking plan and the connection relationship matching score of the networking plan, and obtains multiple target historical networking Statistics of multiple network scores of the solution. Based on the preset scoring rules, the electronic device determines the networking score based on the candidate networking score and the statistics.
  • comparing candidate networking scores with statistics can reflect the performance level of the networking solution in multiple target historical networking solutions in the same application scenario.
  • the electronic device can determine the networking score of the networking solution. Therefore, this networking score can intuitively reflect the performance level of the networking solution among historical networking solutions in the same industry/application scenario.
  • the electronic device generates a unique identifier of the networking solution and the user's choice of adoption of the networking solution, obtains the user's feedback score of the networking solution, and combines the unique identifier and the user's adoption of the networking solution.
  • the selection is stored in association with the user feedback rating.
  • the adoption selection is used to indicate whether the user has adopted the networking solution.
  • the unique identifier, the user feedback score and the adoption identification of the networking plan are stored in association, which is conducive to subsequent use of the user feedback score and adoption identification of the networking plan for model recommendation and networking generation.
  • this application provides a networking device, which has the function of implementing the behavior in the method embodiment of the first aspect.
  • the functions described can be implemented by hardware, or can be implemented by hardware executing corresponding software.
  • the hardware or software includes one or more modules corresponding to the above functions.
  • the device includes an acquisition unit and a processing unit.
  • the acquisition unit is used to obtain networking requirements, which include scenario requirements, coverage requirements, equipment capability requirements, and matching requirements between upstream and downstream devices.
  • the processing unit is used to obtain the networking structure according to scene requirements.
  • the processing unit is also used to determine the model and corresponding quantity of equipment at each layer in the network structure based on coverage requirements, equipment capability requirements and matching requirements.
  • the processing unit is also used to connect devices between two adjacent layers in the networking structure and generate networking solutions.
  • the device capability requirements include: a first device capability sub-requirement and a second device capability sub-requirement.
  • the first device capability sub-requirement indicates the capability requirement of the first-layer device in the networking structure.
  • the second device capability sub-requirement indicates the capability requirement of other layer devices in the network structure except the first layer device.
  • the processing unit is specifically used to: determine the model of the first-layer device according to the coverage requirement and the first device capability sub-requirement, and the number of devices corresponding to the model of the first-layer device.
  • the processing unit is specifically configured to: determine the number of first-layer devices according to coverage requirements.
  • One or more models of the first-tier equipment are determined according to the quantity of the first-tier equipment and the first equipment capability sub-requirements, and the number of devices corresponding to the one or more models of the first-tier equipment are determined.
  • the processing unit is specifically configured to: obtain user feedback information and popularity information of each type of device in the available device set. Based on coverage requirements, equipment capability requirements, matching requirements, user feedback information, and popularity information, determine the models and corresponding quantities of devices at each layer in the network structure.
  • the processing unit is specifically used to: According to the number of first-layer devices, the first device capability Sub-needs, user feedback information and popularity are used to determine the number of devices corresponding to one or more models of first-tier devices and one or more models of first-tier devices. Determine one or more models of other layer devices based on the model of the first-tier device, the number of devices corresponding to the first-tier device model, the second device capability sub-requirements, matching requirements, user feedback information and popularity information The number of devices corresponding to one or more models of other layer devices.
  • the processing unit is specifically configured to: for each historical networking scheme among the multiple historical networking schemes, obtain the user feedback scores of historical users for each type of equipment in each historical networking scheme. .
  • the user feedback information of any one model of equipment is obtained, and multiple historical networking solutions are obtained.
  • Various types of equipment in the networking solution include various types of equipment in the available equipment set.
  • the processing unit is specifically configured to: for any device in the available device set, filter out multiple models of any device registered within a preset time period based on the device registration time. Based on the number of registrations of each of the multiple models within a preset time period, the frequency of new additions of each of the multiple models is determined. Based on the number of times each of the multiple models is online within a preset time period, the frequency of use of each of the multiple models is determined. According to the frequency of new additions and frequency of use, the popularity of each model among multiple models is obtained.
  • the networking requirements also include: verification requirements.
  • the processing unit is also used to: evaluate the networking plan according to the verification requirements and display the evaluation results.
  • the verification requirements include: model requirement matching degree check sub requirements and connection relationship matching degree check sub requirements.
  • the evaluation results include the networking score of the networking solution.
  • the processing unit is specifically used to: evaluate the model demand matching degree of each device in the networking scheme according to the model demand matching degree check sub-requirements, and obtain the model demand matching degree score of the networking scheme.
  • the connection relationship matching degree between devices in the networking solution is evaluated according to the connection relationship matching degree check subrequirements, and the connection relationship matching degree score of the networking solution is obtained.
  • the networking score is obtained based on the model demand matching score of the networking plan and the connection relationship matching score of the networking plan.
  • the evaluation results also include: the model requirement matching score of each model of equipment in the networking plan and the connection relationship matching score corresponding to the connection between each two devices in the networking plan. .
  • the model requirement matching score of each model of device and/or the connection relationship matching score corresponding to the connection between each two devices includes a score that is less than a preset score. item.
  • the processing unit is also used to receive new networking requirements and regenerate the networking plan based on the new networking requirements.
  • the processing unit is also used to: determine multiple target historical networking solutions from multiple historical networking solutions, application scenarios of the multiple target historical networking solutions, and application scenarios of the networking solutions same. Based on the user feedback scores of historical users on multiple target historical networking solutions, determine the user feedback scores of each type of equipment in multiple target historical networking solutions. Obtain the statistics of user feedback scores of various types of equipment in multiple target historical networking plans. Each type of equipment in multiple target historical networking plans includes various types of equipment in the networking plan. Based on statistics, determine the user satisfaction score of each type of equipment in the networking solution. According to the user satisfaction scores of each type of equipment in the networking plan, the user satisfaction score of the networking plan is obtained, and the user satisfaction score of the networking plan is displayed.
  • the processing unit is specifically configured to: obtain the candidate networking score of the networking plan based on the model requirement matching score of the networking plan and the connection relationship matching score of the networking plan. Obtain the statistics of multiple networking scores of multiple target historical networking solutions. Based on the preset scoring rules, the network score is determined based on the candidate network score and the statistics.
  • the processing unit is also used to: generate a unique identifier of the networking solution and the user's selection of the networking solution. Obtain user feedback scores on the networking solution. Associate and store the unique identifier, the user's choice of adopting the networking solution, and the user feedback score.
  • this application provides an electronic device, including: a processor and a memory.
  • Memory is used to store computer programs.
  • the processor is configured to execute the computer program stored in the memory, so that the electronic device executes the method in any possible implementation manner in the above-mentioned first aspect.
  • the present application provides a computer-readable storage medium, including programs and instructions.
  • the program or instructions are run on a processor, the method in any of the possible implementations in the first aspect is implemented. implement.
  • the present application provides a computer program product, including a computer program.
  • the computer program When the computer program is run by an electronic device, the electronic device causes the electronic device to execute the method in any possible implementation manner in the first aspect.
  • Figure 1 is a schematic diagram of a system architecture provided by an embodiment of the present application.
  • Figure 2 is a schematic flow chart of a networking method provided by an embodiment of the present application.
  • Figure 3 is a coded schematic diagram of a networking requirement provided by an embodiment of the present application.
  • Figure 4 is a schematic diagram of a networking topology provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of another networking topology provided by an embodiment of the present application.
  • Figure 6 is a schematic flow chart of another networking method provided by an embodiment of the present application.
  • Figure 7A is a schematic diagram of a networking requirement input interface provided by an embodiment of the present application.
  • Figure 7B is a schematic diagram of a retailer's super-networking requirements coded according to an embodiment of the present application.
  • Figure 7C is a schematic diagram of some input conditions in a retailer super network provided by an embodiment of the present application.
  • Figure 8 is a schematic diagram of a retailer super network topology provided by an embodiment of the present application.
  • Figure 9 is a schematic structural diagram of a networking device provided by an embodiment of the present application.
  • FIG. 10 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • the networking method can be executed by electronic equipment.
  • the electronic equipment can be a computer, a virtual machine, a server, a cloud device, a mobile terminal, etc.
  • the electronic device obtains the networking requirements and obtains the corresponding networking structure according to the scenario requirements in the networking requirements.
  • the scenario requirements can be the application scenarios of the networking solution.
  • the electronic device can determine a typical (or commonly used) networking structure in the application scenario based on the application scenario. Based on the coverage requirements, equipment capability requirements and matching requirements between upstream and downstream equipment in the networking requirements, the electronic equipment determines the recommended models and corresponding quantities of each layer of equipment in the network structure, and connects the two adjacent layers.
  • Recommend devices to generate a networking solution and recommend the networking solution to users are usually input by users.
  • the matching requirements between upstream and downstream devices can be input by the user or preset.
  • the electronic equipment automatically generates a networking plan based on the networking requirements, which reduces the manpower investment in network deployment and improves the efficiency of network deployment.
  • the networking requirements also include matching requirements between upstream and downstream devices, which helps avoid recommended networking In the solution, there are problems such as mismatch in capabilities between upstream and downstream devices. Connecting upstream and downstream devices with higher matching degree to generate a networking solution can improve the overall performance of the networking solution.
  • the system architecture can at least include a user interaction module, a networking recommendation module and a database.
  • the user interaction module includes a demand input sub-module, a network output sub-module and a user rating sub-module.
  • the networking recommendation module includes a device model recommendation sub-module, a networking generation sub-module and a networking evaluation sub-module.
  • the database includes cloud management database, equipment model database and networking details database.
  • the database can be deployed in the cloud, and the user interaction module and networking recommendation module can be deployed on clients such as applications, applets, software (for example: software that provides networking recommendation services), and browsers. .
  • the database, user interaction module and network recommendation module can all be deployed in the cloud. Users can use network recommendation services through applications, mini-programs, software and browsers.
  • the demand input submodule is used to obtain networking requirements.
  • the networking requirements may include scenario requirements, coverage requirements, equipment capability requirements, etc.
  • the scenario requirements can be network application scenarios/industries, such as retail super scenarios, branch office scenarios, university scenarios, etc.
  • Coverage requirements can represent the user's demand for the number of network devices. For example: in a retailer supermarket scenario, the user's demand for the number of network devices depends on the total area of the supermarket, passenger flow, number of terminals, etc.; in a branch office scenario, The user's demand for the number of network devices depends on the number of employees in the enterprise, the total area of the office, offices, conference rooms, servers, etc.
  • the user requires 5 access points (APs) for each office or conference room.
  • the number of offices and conference rooms determines the total number of APs required; for example, the number and type of servers can determine the model of the switch and the corresponding quantity of each model; in a university scenario, the user's demand for the number of network devices depends on Based on the number of teachers and students, campus area, ordinary classrooms, lecture theaters, laboratories, etc., for example: the user requires that the number of APs in each ordinary classroom, lecture theater, and laboratory is 50, then the number of ordinary classrooms, lecture theaters, and laboratories This determines the total number of AP requirements.
  • Equipment capability requirements can include the quality level (Quality) of the equipment and the functional requirements of the equipment, for example, whether the equipment has video surveillance functions, whether the equipment requires agile distributed wireless network communication technology (Wireless Fidelity, WiFi), and whether the equipment has the Internet of Things (IoT). Internet of Things (IoT) functions, whether the device has Power over Ethernet (PoE) capabilities, etc.
  • the requirements input by the user may also include matching requirements between upstream and downstream devices.
  • the switch is the upstream device of the AP
  • the matching requirements may include that the PoE power supply capability of the switch is greater than Or equal to the PoE power supply requirement of the AP, the downlink port type of the switch and the uplink port type of the AP are both electrical ports, the downlink port rate of the switch matches the uplink port rate of the AP, the forwarding capability of the switch is greater than or equal to the forwarding capability of the AP, etc.
  • the matching requirements between upstream and downstream devices can also be preset, that is, no user input is required.
  • the equipment model recommendation sub-module is used to recommend the equipment models required for this network and the number of devices corresponding to each model based on scenario requirements, coverage requirements, equipment capacity requirements and matching requirements between upstream and downstream devices.
  • the device model recommendation sub-module can also obtain the popularity information of each model of device based on the device usage data and device registration data stored in the cloud management database.
  • the equipment model recommendation sub-module can also obtain user feedback information for each model of equipment based on the user feedback scores of multiple historical networking solutions stored in the network details database.
  • the recommendation sub-module can recommend the device models that best meet user needs and the number of devices corresponding to each model.
  • the networking generation sub-module is used to connect various types of equipment recommended by the equipment type recommendation sub-module and belong to the upstream and downstream relationships to generate a networking plan.
  • the networking evaluation sub-module is used to evaluate and verify the generated networking plan according to the verification requirements to obtain the networking score of the networking plan.
  • the verification requirement may be input by the user or may be preset, which is not limited here.
  • the networking evaluation sub-module can also conduct a comprehensive evaluation of the networking solution from multiple aspects such as model demand matching and connection relationship matching.
  • the networking evaluation sub-module can also obtain the user satisfaction score of the networking plan generated this time based on the user feedback scores of multiple historical networking plans.
  • the networking output submodule is used to output the networking plan.
  • the networking output sub-module displays the networking plan generated this time through the human-computer interaction interface.
  • the networking output sub-module is also used to output the networking score of the networking plan, for example, display the networking score of the networking plan through the human-computer interaction interface.
  • Users can determine whether to adopt the networking solution based on the networking score.
  • the networking output sub-module can also present the user satisfaction score of the networking solution to the user through the human-computer interaction interface.
  • the networking output sub-module can also present each verification requirement and the score of each verification requirement to the user. Based on the score of each verification requirement, the user can intuitively obtain the networking solution generated this time to meet the needs of the user. Poor requirements. Based on this, if the importance of the requirement item is high, the user can adjust the previously entered requirements to prompt the equipment model recommendation sub-module and the networking generation sub-module to regenerate the networking solution based on the new user requirements. Better match requirements with higher importance.
  • the user rating sub-module is used to record whether the user adopts the networking plan output by the networking output sub-module, and the user's score for the networking plan (ie, user feedback score). Store the adoption status of the networking plan and user ratings in the networking details database.
  • the cloud management database is used to store basic parameters of the device, device online data, device usage data, device registration data, etc.
  • Table 1 gives an example of a data table in the cloud management database:
  • the basic parameters of the device in Table 1 include user identifier (ID), project to which the device belongs, device role (or category), model, device ID (such as the physical address of the device), etc.
  • ID user identifier
  • the device online data can be the last online time of the device.
  • the device registration data may be the registration time of the device.
  • the device roles can be firewall (FW), aggregation switch (AGGg), access switch (ACC), AP, etc.
  • the equipment model database is used to store attribute information of each model of equipment.
  • Table 2 gives an example of the AP model data table in the equipment model database:
  • the attribute information of each AP model in Table 2 includes the device model and PoE power supply speed (can be obtained based on the number of ports that support PoE power supply, usually based on the number of uplink ports of the AP, and its unit is gigabyte (G) ), whether it supports agile distributed WiFi (for example: N means no, Y means yes), whether it supports IoT, whether it supports video surveillance, whether it is a panel AP, whether the application industry/scenario is the retail industry/scenario, application Whether the industry/scenario is the education industry/scenario, whether the application industry/scenario is the office industry/scenario, the minimum PoE power supply level required, the date of discontinuation of sales, the date of discontinuation of service and support, whether it is sold in China, the latest software version supported, Quality ( For example: High, Middle, Low), number of ports, port speed, port type, etc.
  • the device model database stores many models of various devices and will update the device models in a timely manner to provide users
  • the networking details database is used to store the networking requirements of each networking scheme.
  • Table 3 gives an example of the networking requirements table of the networking scheme in the networking details database:
  • Table 3 uses the networking ID as the main key.
  • the networking requirements of each networking solution include but are not limited to application scenarios, quality, number of wired terminals, number of APs, whether office WiFi is required, and whether guest WiFi is required.
  • the networking details database is also used to store the device models in each networking plan and the number of devices corresponding to each model.
  • Table 4 gives an example of the device models in a networking solution and the number of devices corresponding to each model:
  • Table 4 also uses the networking ID as the main key, and exemplarily shows the model of each device and the corresponding quantity of each model in the networking solution including FW, ACC, AGG and AP.
  • the networking details database is also used to store information such as the user's adoption identification of the networking plan, user feedback scores, and the networking score of the networking plan.
  • Table 5 gives an example of the adoption identification, user feedback score and networking score of the networking plan in the networking details database:
  • Table 5 also uses the networking ID as the main key, and the adoption flag is used to indicate whether the user has adopted the networking solution (for example: N means not adopted, Y means adopted).
  • Tables 3 to 5 can be linked through the network ID to obtain the networking requirements, device models and quantities of each network, as well as network scores, user feedback scores and other information.
  • this application can implement the networking method described in the following embodiments to reduce the degree of manual intervention in device selection and networking topology during network deployment, thereby improving device selection and networking.
  • the efficiency of network topology generation is improved, thereby improving the efficiency of network deployment.
  • Figure 2 is a schematic flow chart of a networking method provided by an embodiment of the present application.
  • the networking method can be executed by electronic equipment and used to generate a networking scheme (or networking topology).
  • the networking method includes but is not limited to the following steps or operations:
  • 201 Obtain networking requirements, which include scenario requirements, coverage requirements, equipment capability requirements, and matching requirements between upstream and downstream devices.
  • scene requirements, coverage requirements, and equipment capability requirements are usually input by users.
  • the matching requirements between upstream and downstream devices can be input by users or preset.
  • the application scenario indicated by the scenario requirement determines the user's demand for the services that the network can provide.
  • users may need services including: wired office, office WiFi, guest WiFi, electronic price tags, cashiers, electronic scales, handheld PDA (Personal Digital Assistant), cameras, etc.
  • services including: wired office, office WiFi, guest WiFi, front desk reception, IoT and cameras, etc.
  • users may need services including: wired office, office WiFi, wired teaching, teaching WiFi, dormitory wired, dormitory WiFi, IoT and cameras, etc.
  • the typical services that the network can provide in each application scenario can be obtained, and the corresponding networking structure can be set for the typical services.
  • the networking structure corresponding to the typical services involved in the application scenario can be used as the networking structure of the networking solution to be generated.
  • the coverage requirement may be the number of network devices input by the user, such as the number of APs and wired terminals.
  • Coverage requirements can also be information input by the user such as area, number of rooms, passenger flow, etc.
  • coverage requirements can include information such as the number of employees, the number of offices, and the number of APs required for each office.
  • Electronic equipment according to The number of offices and the number of APs required by each office can determine the number of APs required by the user. For example, if there are 50 offices and each office requires 2 APs, the number of APs required by the user is 100.
  • Electronic equipment can determine the number of wired terminals required by the user based on the number of employees. For example: if there are 100 employees, the number of wired terminals required by the user can be 100.
  • the device capability requirements include: a first device capability sub-requirement and a second device capability sub-requirement.
  • the first device capability sub-requirement indicates the capability requirement of the first-layer device in the networking structure.
  • the second device capability sub-requirement indicates the capability requirement of other layer devices in the network structure except the first layer device.
  • Electronic equipment determines the number of first-layer devices in the network structure based on coverage requirements. One or more models of the first-tier equipment are determined according to the quantity of the first-tier equipment and the first equipment capability sub-requirements, and the number of devices corresponding to the one or more models of the first-tier equipment are determined.
  • the electronic device determines the number of devices at other layers in the network structure based on the model of the first layer device, the number of devices corresponding to the model of the first layer device, the second device capability sub-requirements and the matching requirements.
  • the network structure obtained by the electronic device according to the scene requirements includes four devices: FW, AGG, ACC and AP.
  • the first layer device is AP
  • the second layer device is ACC
  • the third layer device is AGG
  • the third layer device is AGG.
  • the layer 4 device is FW.
  • the electronic device determines the user's specific requirements for the network based on the coded networking requirements. Please refer to Figure 3.
  • Figure 3 is a schematic diagram of a coded networking requirement provided by an embodiment of the present application.
  • wired_num indicates the number of wired terminals required by the user, which is 100 in the example
  • ap_num indicates the number of APs required by the user, which is 100 in the example
  • “Quality” indicates the quality level of the equipment required by the user, which is the example The medium is High
  • “IoT” indicates whether the user needs the Internet of Things function, in the example it is yes (Y)
  • “Scene” indicates the application scenario, in the example it is a supermarket (Supermarket)
  • Video_monitor indicates whether the user needs the video monitoring function , in the example it is yes (Y)
  • distributed indicates whether agile distributed WiFi is required, in the example it is not required (N);
  • Platinum indicates whether panel AP is required, in the example it is not required (N).
  • the electronic device constructs the input conditions for networking based on the coded networking requirements.
  • the hard and soft conditions for networking are constructed.
  • the hard conditions refer to the conditions that the network must meet. If the hard conditions are not met, the network topology will not be able to provide the network services required by users.
  • Soft conditions refer to conditions that should be met as much as possible on the basis of meeting hard conditions. These soft conditions can make the network topology run better and perform better.
  • hard conditions may include: the number of ACC ports is greater than or equal to the sum of the number of wired terminals and the number of APs; the IoT function of the AP matches the IoT function required by the user; the PoE power supply capability of the ACC is greater than or equal to the PoE power supply of the AP Requirements; central AP for agile distributed WiFi matched to remote units, etc.
  • the soft conditions can be: the "Quality" of each device matches the “Quality” required by the user; the “Scene” of each device matches the “Scene” required by the user; the “Video_monitor” of ACC matches the “Video_monitor” required by the user Match; the "Distributed” of the AP matches the “Distributed” required by the user; the “Plate” of the AP matches the “Plate” required by the user; the type of the AP uplink port is an electrical port; the type of the ACC uplink port is an optical port ; The type of the ACC downlink port is an electrical port; the type of the AGG uplink port is an optical port; the type of the AGG downlink port is an optical port; the type of the FW uplink port is an optical port; the type of the FW downlink port is an optical port; the AP uplink port speed Greater than or equal to 1 Gigabit per second (Gbps); ACC uplink port rate greater than or equal to 10Gbps
  • hard conditions are further divided into hard equality conditions and hard inequality conditions.
  • the soft conditions are divided into soft equality conditions and soft inequality conditions.
  • the electronic device uses the input conditions related to the equipment at each layer to establish a model recommendation model for the equipment at each layer.
  • AP ACC
  • the variables for the recommended quantities of each model of AGG and FW are X AP , X ACC , X AGG , and X FW respectively.
  • the four variables are all vectors, consisting of the corresponding quantities of each model of this type of equipment.
  • n is the number of AP models, Indicates the number of devices corresponding to the nth AP model.
  • variables for attribute information of each model of AP, ACC, AGG and FW are defined.
  • the Quality of each model of AP can be defined as X AP, Quality , It should be understood that Indicates the quality level of the nth model of AP.
  • the first step is to select the number of first-tier devices (i.e. APs) and the first device capability sub-requirements from the input conditions, and determine one or more recommended models of the first-tier devices and each recommendation based on the model recommendation model. The quantity corresponding to the model.
  • Min represents minimization
  • w 11 , w 12 ,... represent the coefficients of the soft equality constraint penalty term
  • w 21 represents the coefficients of the soft inequality constraint penalty term
  • X AP Scene represents the application of various types of AP Scenes
  • X AP indicates the "IoT" capability of each type of AP.
  • 1G can be the default requirement for the uplink port speed of various types of APs. It can be understood that 1G can also be other values, such as 0.5G, or other values input by the user.
  • one or more recommended models of the AP and the number of devices corresponding to the one or more recommended models are obtained, that is, X AP is solved. That is, based on the user's quantity requirements for the first layer device and the first device capability sub-requirements of the first layer device, the electronic device can determine one or more recommended models of the first layer device and the devices corresponding to each recommended model. quantity. The electronic device can then determine the recommended models of other layer devices and the number of devices corresponding to the recommended models based on one or more recommended models of the first layer of equipment and the number of devices corresponding to each recommended model.
  • the second device capability sub-requirements of the second-layer device i.e. ACC
  • the number of devices corresponding to the recommended models determines one or more recommended models of ACC and the corresponding quantity of each model.
  • the determination process can be implemented based on the model recommendation model of ACC.
  • the model recommendation model is, for example, as shown below, including the hard conditions that the ACC represented by the st part must satisfy and the soft conditions that the ACC can satisfy represented by the Min part. .
  • (X ACC,Distributed "Y") ⁇ X ACC
  • 1 0
  • X ACC Quality represents the Quality of each model of ACC, Indicates whether each model of ACC has video surveillance function. Indicates the uplink port speed of each model of ACC, Indicates the number of downlink ports of each ACC model, Indicates the number of ports of each ACC model that supports PoE power supply. X ACC, Distributed indicates whether each ACC model supports agile distributed WiFi. Indicates whether the uplink port rate of each ACC model is greater than or equal to 10G. If so, then Not as a penalty item, if not, then as a penalty item. Indicates that the recommended total number of downlink ports of all ACCs must be greater than or equal to the sum of the number of wired terminals and the number of APs.
  • the third step is to select the second equipment capability sub-requirements of the third-layer equipment (i.e. AGG) and the matching requirements between AGG and ACC from the input conditions, and based on each model of ACC and the number of devices corresponding to each model , determine one or more recommended models of AGG and the corresponding quantity of each model.
  • the determination process can be implemented based on the model recommendation model of AGG.
  • the model recommendation model is, for example, as shown below, including the hard conditions that AGG represented by the st part must satisfy and the soft conditions that the AGG represented by the Min part can satisfy. .
  • X AGG Quality represents the Quality of each model AGG
  • Indicates the uplink port speed of each model of AGG Indicates the number of downlink ports of each model of AGG, and "Optical" indicates the optical port.
  • the electronic device uses the various models of ACC and the number of devices corresponding to each model to recommend the model of AGG. Solve to obtain one or more recommended models of AGG and the number of devices corresponding to the one or more recommended models, that is, X AGG is solved.
  • the above 10G can be the default requirement for the uplink port speed of various AGG models. It can be understood that 10G can also be other values, such as 5G, or other values input by the user.
  • the fourth step is to select the second device capability sub-requirements using the fourth layer device (i.e. FW) from the input conditions, the matching requirements between FW and AGG, and based on each model of AGG and the equipment corresponding to each model Quantity, determine the recommended models of FW and the corresponding quantity of each recommended model.
  • the determination process can be implemented based on the style recommendation model of FW.
  • the style recommendation model is as follows, for example, including the hard conditions that the FW represented by the st part must satisfy and the soft conditions that the FW represented by the Min part can satisfy. .
  • X FW,Quality represents the Quality of each model of FW
  • the various models of the third layer equipment i.e.
  • the electronic device uses the various models of AGG and the number of devices corresponding to each model to recommend the model of the FW.
  • Solve to obtain one or more recommended models of FW and the number of devices corresponding to the one or more recommended models, that is, X FW is solved.
  • the above 10G can be the default requirement for the uplink port speed of various types of FW. It can be understood that 10G can also be other values, such as 5G, or other values input by the user.
  • the method for solving the model recommendation model for each layer of equipment can be the interior point method, exterior point method, multiplier method, heuristic method, etc. in operations research and optimization.
  • the recommended models of the first-tier devices and the number of devices corresponding to each recommended model are determined based on the coverage requirements and the first device capability sub-requirements of the first-tier devices.
  • the recommended models of the upstream equipment are determined based on the types and quantities of each type of downstream equipment, the second equipment capacity sub-requirements of the upstream equipment, and the matching requirements between the upstream equipment and the downstream equipment.
  • the number of devices corresponding to each recommended model is the number of devices corresponding to each recommended model.
  • each layer of equipment determined through layer-by-layer matching has a higher degree of matching with its upstream and downstream equipment, which helps avoid problems such as capacity mismatch between upstream and downstream equipment.
  • the electronic device can also obtain user feedback information and popularity information of each type of device in the available device set. Based on coverage requirements, equipment capability requirements, matching requirements, user feedback information, and popularity information, determine the models and corresponding quantities of devices at each layer in the network structure.
  • the available device set is a set of all types of devices available in the database. That is to say, when electronic equipment determines the model of each layer of equipment and the corresponding quantity of that model, in addition to the networking requirements, it also considers the user feedback information and popularity information of each model of the equipment at each layer. Therefore, when the network structure is determined, the electronic device needs to obtain user feedback information and popularity information of various models of various devices included in the network structure.
  • user feedback scores of historical users for each model of equipment in each historical networking scheme are obtained.
  • the user feedback information of any one model of equipment is obtained, and multiple historical networking solutions are obtained.
  • Various types of equipment in the networking solution include various types of equipment in the available equipment set.
  • the electronic device can obtain user feedback information of the four devices respectively.
  • the first step is to obtain user feedback information for each type of AP.
  • the data table shown in Table 5 in the electronic equipment query network details database can obtain the user feedback ratings of historical users on multiple historical networking solutions such as "adkHk", “6i6XUrk”, etc., and compare the user feedback scores of each historical networking solution The feedback score is used as the user feedback score for each type of equipment in the networking solution. For example: the user feedback score of the "adkHk" networking solution in Table 5 is 3, then the user feedback scores of all models of devices in this networking solution are 3. Based on this, user feedback scores for all models of equipment in multiple historical networking solutions can be obtained.
  • the user feedback information of AP1 is calculated using the five user feedback scores of AP1.
  • the user feedback information of AP1 can be the mean of 5 user feedback ratings, the sum of 5 user feedback ratings, the weighted sum of 5 user feedback ratings, and so on.
  • the second step is to obtain user feedback information of various types of ACC.
  • the user feedback score of any model of ACC in different historical networking solutions can be obtained based on the method in the first step, using The user feedback scores of any model of ACC in different historical networking solutions can be used to calculate the user feedback information of any model of ACC.
  • the third step is to obtain user feedback information on various models of AGG.
  • the user feedback scores of any model of AGG in different historical networking solutions can be obtained based on the method in the first step.
  • the user feedback information of any model of AGG can be calculated.
  • the fourth step is to obtain user feedback information for each model of FW.
  • the user feedback scores of any model of FW in different historical networking solutions can be obtained.
  • the user feedback information of any model of FW can be calculated.
  • the user feedback score of each historical networking solution is used as the user feedback score of each type of networking device in each historical networking solution.
  • its user feedback information is calculated based on its user feedback scores in different historical networking solutions. From this, the user feedback information of each type of equipment in the available equipment set can be obtained, so that the recommended types of equipment at each layer and the corresponding quantities of each type can be determined later based on the user feedback information of each type of equipment in the available equipment set.
  • multiple models of any device registered within a preset time period are filtered out based on the device registration time.
  • the frequency of new additions of each of the multiple models is determined.
  • the frequency of use of each of the multiple models is determined. According to the frequency of new additions and frequency of use, the popularity information of each model among multiple models is obtained.
  • the following description uses any device as an AP. Filter out all APs from the available device set, filter out APs of multiple models registered within a preset time period (such as the past three months) based on the registration time in Table 1, and count the number of APs for each model The number of registered APs. For example: "AirEngine 5760-22W" has registered 11,000 APs in the past three months.
  • the APs of multiple models are sorted according to the registered number of APs of each model to obtain the ranking of the registered number of APs of each model.
  • the sorting method may be from high to low or from low to high, which is not limited here.
  • the APs of each model are scored according to the ranking of the number of registered APs of each model, and the score of the registered number of APs of each model is determined by the frequency of new additions.
  • Table 6 gives an example of the frequency of new additions of various types of APs:
  • each AP model in Table 6 For each AP model in Table 6, based on the last online time in Table 1, count the number of times each AP model went online within a preset time period (such as the past three months). For example: the AP "AirEngine 5760-22W" has been online 11,000 times in the past three months.
  • the APs of multiple models are sorted according to the number of online times of each AP model to obtain the ranking of the online times of each AP model.
  • the sorting method may be from high to low or from low to high, which is not limited here.
  • Each model of AP is scored according to the ranking of the number of times each model of AP has been online, and the score of the number of times each model of AP has been online is determined by its frequency of use. Table 7 gives an example of the frequency of use of each type of AP:
  • the popularity information of each model of AP is calculated using the frequency of new additions in Table 6 and the frequency of use in Table 7.
  • the popularity information of each model of AP can be the average, weighted sum, weighted average, etc. of its new frequency and frequency of use.
  • Table 8 gives an example of the popularity information of each type of AP:
  • the electronic equipment combines the frequency of use and the frequency of new additions of each type of equipment. Determine the popularity information of each model in order to subsequently determine the recommended models of each layer of equipment and the corresponding quantity of each model based on the popularity information of each model of equipment.
  • the electronic device determines one or more models of the first-tier devices and the first-tier devices based on the number of first-tier devices, user feedback information and popularity information, and the first device capability sub-requirements.
  • the number of devices corresponding to one or more models of the device According to the model of the first-layer device, the number of devices corresponding to the model of the first-layer device, the capability sub-requirements of the second device, user feedback information and popularity information, as well as the matching requirements between devices of different layers, determine the equipment of other layers.
  • One or more models and the number of devices corresponding to one or more models of other layer devices are examples of the first-tier devices and the first-tier devices based on the number of first-tier devices, user feedback information and popularity information, and the first device capability sub-requirements.
  • the user feedback information and popularity information of each type of AP are used as optimization targets, and the number of APs and the first device capability sub-requirements are combined. to determine the model of AP and the corresponding quantity of each model.
  • the determination process can be implemented based on the model recommendation model of the AP.
  • the model recommendation model is, for example, as shown below, including hard conditions that the AP represented by the st part must satisfy and soft conditions that the AP represented by the Min part can satisfy.
  • X AP Prefer represents the user feedback information of each AP model, X AP, Prefer ⁇ Popularity information of AP models, X AP ,Popular ⁇ weight coefficient.
  • the user feedback information and popularity information of each model of ACC are used as optimization targets, combined with the second equipment capability sub-requirements of ACC, ACC Matching requirements with the AP, each AP model and the number of devices corresponding to each model, to determine the ACC model and the corresponding quantity of each model.
  • the determination process can be implemented based on the model recommendation model of ACC.
  • the model recommendation model is, for example, as shown below, including the hard conditions that the ACC represented by the st part must satisfy and the soft conditions that the ACC can satisfy represented by the Min part. .
  • the Min part may include optimization targets for user feedback information and popularity information of each model of ACC.
  • (X ACC,Distributed "Y") ⁇ X ACC
  • 1 0
  • X ACC, Prefer represents the user feedback information of each model of ACC, X ACC , Prefer ⁇
  • the popularity information of model ACC, X ACC,Popular ⁇ X ACC represents the sum of the products of the popularity information of each model ACC and the number of corresponding models ACC.
  • the AGG of each model is User feedback information and popularity information are used as optimization targets, combined with AGG's second equipment capability sub-requirements, matching requirements between AGG and ACC, various models of ACC and the number of devices corresponding to each model, to determine the model of AGG Model and quantity corresponding to each model.
  • the determination process can be implemented based on the model recommendation model of AGG.
  • the model recommendation model is, for example, as shown below, including the hard conditions that AGG represented by the st part must satisfy and the soft conditions that the AGG represented by the Min part can satisfy.
  • the Min part may include optimization targets for user feedback information and popularity information of each model of AGG.
  • X AGG, Prefer represents the user feedback information of each AGG model
  • the popularity information of model AGG, X AGG,Popular ⁇ X AGG represents the sum of the products of the popularity information of each model AGG and the number of corresponding model AGG.
  • the user feedback information and popularity information of each model of FW are used as optimization targets, combined with the second device capability sub-requirements of FW, FW Matching requirements with AGG, each model of AGG and the number of equipment corresponding to each model, to determine the model of FW and the corresponding quantity of each model.
  • the determination process can be implemented based on the style recommendation model of FW.
  • the style recommendation model is as follows, for example, including the hard conditions that the FW represented by the st part must satisfy and the soft conditions that the FW represented by the Min part can satisfy.
  • the Min part may include optimization targets for user feedback information and popularity information of each model of FW.
  • X FW, Prefer represents the user feedback information of each model of FW, X FW, Prefer ⁇
  • the popularity information of FW of each model, X FW,Popular ⁇ X FW represents the sum of the products of the popularity information of each model of FW and the number of FW of the corresponding model.
  • Model optimization recommends device models for users.
  • the electronic equipment connects the equipment between two adjacent layers according to the upstream and downstream relationships between the equipment, and generates a network topology including the connection relationship.
  • a bottom-up connection method is adopted to obtain a tree-structured network topology as shown in Figure 4.
  • the network structure including AP, ACC, AGG and FW, as shown in Figure 4:
  • the first step is to connect the AP and wired terminals to the ACC to form an ACC+AP/wired terminal network.
  • the number of downlink ports of a certain model of ACC is 20. After the downlink ports of this ACC are full, connect to the next ACC and proceed in sequence. OK until all APs/wired terminals are connected.
  • the second step is to connect ACC and AGG to form AGG+ACC+AP/wired terminal network.
  • the third step is to connect AGG to FW to form FW+AGG+ACC+AP/wired terminal network.
  • the FW connects to the Internet.
  • the demand for APs in the networking requirements is 0 (that is, users do not need APs)
  • the number of wired terminals is less than the number of downlink ports of a single FW
  • the network structure including AP, ACC, AGG and FW shown in Figure 4 is usually used in industries/scenarios such as retail supermarkets and branch offices.
  • industries/scenarios such as villas and stores
  • the set networking structure is usually the 4-layer structure shown in Figure 5, which includes the Internet, router (access router, AR), ACC, AP/wired terminal.
  • the user's scenario needs will determine the networking structure obtained by the electronic device, and the networking structure will determine the scale of the final networking solution, as well as the model of the equipment in the networking solution.
  • the network structure shown in Figure 4 is larger in scale and more complex than the network structure shown in Figure 5. Therefore, it requires more complex network configuration and requires higher performance of the equipment.
  • electronic equipment can recommend the amount of networking equipment and the corresponding quantity of each amount based on the scenario requirements, coverage requirements, equipment capability requirements and matching requirements between upstream and downstream equipment, and then based on the recommended equipment Generate a networking plan based on the model and quantity corresponding to each item.
  • This can reduce the degree of manual intervention in equipment selection and network topology during network deployment, thereby improving the efficiency of device selection and network topology generation, thereby improving the efficiency of network deployment.
  • electronic equipment also considers the matching requirements between upstream and downstream devices in the networking requirements, which is helpful to avoid problems such as mismatching capabilities of the upstream and downstream devices connected in the networking solution, and can make the upstream and downstream devices have stronger collaborative capabilities. , which will help improve the overall performance of the networking solution. Users only need to input networking requirements to get recommended networking solutions, which lowers the threshold for network planning.
  • FIG 6 is a schematic flow chart of another networking method provided by an embodiment of the present application.
  • This networking method can be performed by electronic equipment.
  • the networking method includes but is not limited to the following steps or operations:
  • 601 Obtain networking requirements, which include scenario requirements, coverage requirements, equipment capability requirements, matching requirements and verification requirements between upstream and downstream devices.
  • the verification requirements may be input by the user or may be preset.
  • Verification requirements include: model requirement matching degree syndrome requirements and/or connection relationship matching degree syndrome requirements.
  • the model requirement matching check sub-requirements can be whether the device in the networking solution has IoT capabilities, whether the quality of the device matches the quality required by the user, whether the application scenario of the device matches the scenario required by the user, etc. wait.
  • the connection relationship matching check sub-requirements can be whether the central AP of the agile distributed WiFi matches the remote unit, whether the PoE power supply capability of the connected upstream device meets the PoE power supply requirements of the downstream device, and the port type and port of the connected upstream device. Whether the rate matches the port type of the downstream device, the port rate, etc.
  • steps 602-604 may refer to the relevant description of steps 202-204 in the embodiment shown in FIG. 2, and the same or similar beneficial effects can be achieved.
  • step 605 can evaluate the networking solution from two aspects: model demand matching degree and connection relationship matching degree:
  • the model demand matching degree of each device in the networking solution is evaluated based on the model demand matching degree check sub-requirements, and the model demand matching degree score of the networking solution is obtained.
  • the model requirement matching check sub-requirement it is divided into items that must be met and items that must be met as much as possible.
  • the items that must be met refer to the requirements that the networking solution must meet. If this requirement is not met, the network will not operate normally. .
  • the items that should be met as much as possible refer to the requirements that the networking solution should try to meet. Meeting this requirement can make the network of the networking solution run better. Determine how well the networking scheme satisfies the requirements of each model requirement matching check sub-requirement.
  • the score of this item is 0. If the networking plan is not satisfied, the score of this item is -w h . Based on this, the style demand matching degree score of each style demand matching degree check sub-requirement can be obtained. Based on the model demand matching degree score of each model demand matching degree check sub-requirement, the model demand matching degree score of the networking solution is calculated. For example, the style demand matching score of each style demand matching check sub-requirement is summed, weighted summed, averaged, etc. Among them, w h can be set based on the importance of the model demand matching degree syndrome demand.
  • connection relationship matching degree between devices in the networking solution is evaluated based on the connection relationship matching degree check subrequirements, and the connection relationship matching degree score of the networking solution is obtained.
  • the connection relationship matching degree syndrome requirements are also divided into items that must be satisfied and items that should be satisfied as much as possible. Determine how well the connection between each two devices in the networking solution satisfies the matching check sub-requirements for each connection relationship. For example, whether the connection between AP1 and ACC1 meets the PoE power supply capability of the connected upstream device and whether it meets the PoE power supply capability of the downstream device. power supply requirements. For the items that must be satisfied in the connection relationship matching degree check subrequirements, if the networking scheme is satisfied, the score of this item is w s .
  • connection relationship matching degree score required for each connection relationship matching degree checker can be obtained.
  • the connection relationship matching degree score required by each connection relationship matching degree checker the connection relationship matching degree score of the networking solution is calculated. For example, the connection relationship matching score of each connection relationship matching degree check sub-requirement is summed, weighted summed, averaged, etc. Among them, w s can be set based on the importance of the connection relationship matching degree syndrome requirement.
  • the electronic device can also obtain the networking score based on the model demand matching score of the networking plan and the connection relationship matching score of the networking plan. .
  • the electronic device can perform sum, weighted sum, average, etc. on the model demand matching score of the networking plan and the connection relationship matching score of the networking plan to obtain the networking score of the networking plan, and combine the The network score is presented to the user as one of the evaluation results.
  • the networking plan is evaluated and verified from the aspects of model demand matching degree and connection relationship matching degree, and the networking score is calculated from the model demand matching degree score and the connection relationship matching degree score.
  • the networking score can reflect the matching degree and overall performance of the networking solution with user needs. Therefore, the networking score is presented to the user so that the user can refer to the networking score to determine whether to adopt the networking solution.
  • the evaluation and verification of the networking plan is helpful to detect problems such as possible mismatch in upstream and downstream device capabilities in the networking plan, so that users can adjust the previously entered networking requirements to generate a network with higher overall performance. network plan.
  • the electronic device will generate the networking ID of the networking scheme, and present the networking scheme and its networking score to the user.
  • Users can refer to the networking score to decide whether to adopt the networking solution and perform corresponding operations on the human-computer interaction interface. For example, the user clicks the "Adopt" or "Do Not Adopt” button and enters the user feedback rating of the networking solution. Based on the user's operation, the electronic device can generate whether the user adopts the networking solution. logo.
  • the adoption identification, user feedback score and networking ID are associated and stored in the networking details database. and, storing the networking requirements of the networking plan, the device models in the networking plan, and the number of devices corresponding to each model in the networking details database.
  • the electronic device determines the networking score of the networking plan based on multiple networking scores and preset scoring rules of multiple target historical networking plans.
  • the electronic device may use the weighted sum of the model requirement matching score of the networking plan and the connection relationship matching score of the networking plan as the candidate networking score of the networking plan.
  • Multiple target historical networking solutions that belong to the same application scenario as the generated networking solution are determined from multiple historical networking solutions in the database. For example, if the application scenario of the generated networking solution is a retailer supermarket, then all historical networking solutions whose application scenario is a retailer supermarket are determined.
  • Table 9 gives an example of preset scoring rules:
  • the statistics of multiple networking scores for multiple target historical networking solutions are quantiles. For example: ⁇ 99% represents the 99% quantile of multiple networking scores for multiple target historical networking solutions. , ⁇ 90% represents the 90% percentile of multiple networking scores of multiple target historical networking solutions. Among them, score 0 represents the calculated candidate networking score of the networking solution.
  • the preset scoring rules shown in Table 9 use the statistics of multiple networking scores of multiple target historical networking solutions to set multiple conditions. If the candidate networking score meets a certain condition, the networking score corresponding to the condition is used as the networking score of the networking plan to normalize the networking score of the networking plan to a certain preset interval.
  • the preset interval is [0,5].
  • the electronic device uses multiple user feedback scores corresponding to the determined multiple target historical networking solutions, and can also determine the user satisfaction score of the generated networking solution, and display the networking solution user satisfaction ratings.
  • the user feedback score of each target historical networking solution is used as the user feedback score of each type of device in each target historical networking solution. For example, if the user feedback score of the target historical networking solution "adkHk" in Table 5 is 3, then the user feedback score of all models of devices in this target historical networking solution will be 3. Assume that the target historical networking solution "adkHk" includes AP1. At the same time, AP1 is also used in 9 other target historical networking solutions. Then obtain the statistics of the 10 user feedback ratings of AP1, such as the average, median, etc.
  • This statistic is used as the user satisfaction score of AP1. From this, the user satisfaction score of each model of equipment in multiple target historical networking solutions can be obtained. If the networking plan includes AP1, ACC1, ACC2, AGG1, FW2 and other types of equipment, the user satisfaction scores of these devices are used to calculate the user satisfaction score of the networking plan. For example, average, weight and sum the user satisfaction scores for these devices, etc. In this implementation, the user satisfaction score can be used as the reputation of historical users for various types of equipment in the networking solution. If the user satisfaction score of the networking plan is presented to the user, the user satisfaction score of the networking plan can be used as another reference indicator in addition to the networking score to help users decide whether to adopt the networking plan.
  • the electronic device can also score the matching degree of the model requirements of each type of equipment in the networking scheme and the matching degree of the connection relationship corresponding to the connection between each two devices in the networking scheme. Displayed as evaluation results. For example, it displays whether the device has IoT capabilities and other matching requirements for each model and its corresponding score. It also displays whether the PoE power supply capability of the connected upstream device meets the PoE power supply requirements of the downstream device and other matching degrees of each connection relationship. The syndrome requirements and their corresponding scores.
  • a level can be set for each model requirement matching check sub-requirement and each connection relationship matching degree check sub-requirement.
  • This level can represent the model requirements of each model of equipment.
  • the matching syndrome requirement and the connection relationship between each two devices The importance of the matching syndrome requirement (or indicating the user’s style requirements for each type of device).
  • the matching syndrome requirement and the connection relationship between each two devices The degree of attention required for the matching degree of the connection relationship checker).
  • the electronic device can display each model requirement matching degree check sub-requirement and its corresponding model requirement matching degree score, and each connection relationship matching degree check sub-requirement and its corresponding connection relationship matching degree score according to this level, thereby It is helpful for users to intuitively see that this networking solution meets poor syndrome requirements, which in turn helps trigger users to adjust their networking requirements.
  • the electronic device can display each model requirement matching degree check sub-requirement and its corresponding model requirement matching degree score, each connection relationship matching degree check sub-requirement and its corresponding value in order of the level from high to low. Corresponding connection relationship matching score.
  • the model requirement matching score of each model of device and/or the connection relationship matching score corresponding to the connection between each two devices includes score items that are less than a preset score.
  • a preset score can be added to the model requirement matching score of each model of device and the connection relationship matching score corresponding to the connection between each two devices.
  • the connection relationship matching score is 3.5, which is less than the preset score of 5, then this item can be highlighted.
  • This allows the user to intuitively obtain demand items with low matching degree, and then the user can adjust the previously input demand information based on the rating items that are less than the preset score. For example, based on the previously entered demand information, add the AP's PoE power supply speed demand, and so on.
  • the electronic device can receive new networking requirements input by the user and regenerate the networking plan based on the new networking requirements. It should be understood that the rating item of the power supply speed that is less than the preset score shows that the networking solution meets poor syndrome requirements.
  • the rating item that displays the score item that is less than the preset score can trigger the user to adjust the demand information that he has input before. , in order to promote the regenerated networking scheme of electronic equipment to better satisfy the scoring items that are less than the preset score.
  • FIG. 7A is a schematic diagram of a networking requirement input interface provided by an embodiment of the present application.
  • the retailer's super network requirements may include the number of wired terminals (for example: 100), total area (for example: 3000 square meters), passenger flow (for example: 1000 people/day), quality level ( For example: high, medium, low) and the online business required by retailers.
  • the network service can be: wired office Public and office WiFi, guest WiFi, electronic price tags, cashiers, electronic scales, handheld PDAs, and cameras.
  • the scene requirements can be determined based on the supermarket name under the basic information in Figure 7A.
  • the networking structure may be a structure including four-layer devices including AP, ACC, AGG and FW as shown in Figure 4.
  • FIG. 7B is a coded schematic diagram of a retailer super network provided by an embodiment of the present application.
  • 'Scene':'Supermarket' indicates that the application scenario of the user network is a retailer's supermarket
  • 'Quality':'High' indicates that the equipment quality level required by the user is high
  • 'Wired terminal':100 indicates that the wired terminal terminal is 100
  • 'Total area': 3000 means the total area is 3000 square meters
  • 'Passenger flow': 1000 means the passenger flow is 1000 people per day
  • 'Wired office': 'Y' means wired office business is required
  • 'Visitor WiFi':' Y' indicates that office WiFi service is required
  • 'Visitor WiFi': 'Y' indicates that visitor WiFi service is required
  • 'Electronic price tag': 'Y' indicates that electronic price tag service is required
  • 'Handheld PDA' 'Y' indicates that handheld PDA is required
  • 'Camera':'Y' indicates that the camera service is required
  • Figure 7C gives some examples of input conditions.
  • 'wired_num':100 indicates that the number of wired terminals required by the user is 100
  • 'ap_num':100 indicates that the number of APs required by the user is 100
  • 'IoT':' Y' indicates that the user needs the device to have the Internet of Things function
  • 'Video_monitor': 'Y' indicates that the user needs the device to have the video monitoring function
  • 'Distributed': 'N' means the user does not need agile distributed WiFi
  • 'Plate': 'N' Indicates that the user does not need panel AP.
  • the input conditions include hard conditions and soft conditions of each layer of equipment.
  • FIG. 8 is a schematic diagram of a retailer super network topology provided by an embodiment of the present application.
  • Figure 8 includes the four types of devices in the network structure corresponding to the retailer's super scenario, the recommended model of each device, the number of devices and wired terminals corresponding to the model. For example, FW model/number, AGG model/number, ACC model/number and AP model number.
  • the evaluation results include the network score and the score of each evaluation item.
  • the electronic device can display the retailer's super network topology, the network score of the network topology, each evaluation item and its score on the human-computer interaction interface.
  • the user can refer to the network score to decide whether to adopt the retailer's super network topology.
  • Network topology For example, the user can click the "Adopt" or "Do Not Adopt” button on the human-computer interaction interface and enter the user feedback rating of the retailer's supernetwork topology.
  • users can intuitively see the evaluation items that are not satisfied by the retailer's supernetwork topology based on each evaluation item and its score displayed on the human-computer interaction interface. For example, if the user requires the Quality of the AP to be High, but the Quality of the AP in the retailer's super network topology is Middle, then the score for the rating item "Does the Quality of the AP in the network topology meet the Quality required by the user" is lower than this score
  • the default score of the item for example, the default score is 5, and the score of the rated item is 0.
  • the user can input new retailer super-networking requirements, for example, adjust the Quality of the AP in the retailer's super-networking requirements in step (1).
  • the electronic device Based on the new retailer's supernetwork requirements, the electronic device regenerates the retailer's supernetwork topology, and evaluates and displays the new retailer's supernetwork topology. If new The networking topology meets the user's requirements.
  • the user can adopt the networking plan, purchase/use relevant equipment according to the networking plan, and connect the relevant equipment according to the networking plan to complete the user's network deployment.
  • This solution can automatically generate networking solutions for users based on their networking needs, greatly reducing the manpower investment in network deployment and improving the efficiency of network deployment.
  • this solution also generates a networking solution based on the matching requirements between devices, avoiding the problem of capability mismatch between upstream and downstream devices, and further improving network performance.
  • FIG. 9 is a schematic structural diagram of a networking device 900 provided by an embodiment of the present application.
  • the device 900 has the function of implementing the networking method shown in FIG. 2 or FIG. 6 .
  • the functions described can be implemented by hardware, or can be implemented by hardware executing corresponding software.
  • the hardware or software includes one or more modules corresponding to the above functions.
  • the device 900 includes an acquisition unit 901 and a processing unit 902.
  • the obtaining unit 901 is used to obtain networking requirements, which include scenario requirements, coverage requirements, equipment capability requirements, and matching requirements between upstream and downstream devices.
  • the processing unit 902 is used to obtain the networking structure according to scene requirements.
  • the processing unit 902 is also used to determine the model and the corresponding quantity of the equipment at each layer in the network structure based on the coverage requirements, equipment capability requirements and matching requirements.
  • the processing unit 902 is also used to connect devices between two adjacent layers in the networking structure and generate a networking plan.
  • the device capability requirements include: a first device capability sub-requirement and a second device capability sub-requirement.
  • the first device capability sub-requirement indicates the capability requirement of the first-layer device in the networking structure.
  • the second device capability sub-requirement indicates the capability requirement of other layer devices in the network structure except the first layer device.
  • the processing unit 902 is specifically configured to: determine the model of the first layer device and the number of devices corresponding to the model of the first layer device according to the coverage requirements and the first device capability sub-requirements, and determine the model of the first layer device and the number of devices corresponding to the model of the first layer device.
  • the quantity of equipment corresponding to the model of one layer of equipment, the second equipment capability sub-requirements and the matching requirements determine the models of equipment on other layers and the quantity of equipment corresponding to the models of equipment on other layers.
  • the processing unit 902 is specifically configured to: determine the number of first-layer devices according to coverage requirements, and determine one or more of the first-layer devices according to the number of first-layer devices and the first device capability sub-requirements. Multiple models, and the number of devices corresponding to one or more models of the first-tier device.
  • the processing unit 902 is specifically configured to: obtain user feedback information and popularity information of each type of device in the available device set, and conduct Level information determines the model and corresponding quantity of each layer of equipment in the network structure.
  • the processing unit 902 is specifically configured to: determine one or more models of the first-tier device based on the number of first-tier devices, first device capability sub-requirements, user feedback information, and popularity. And the number of devices corresponding to one or more models of the first-tier device, and based on the model of the first-tier device, the number of devices corresponding to the model of the first-tier device, the second device capability sub-requirements, matching requirements, User feedback information and popularity information determine one or more models of other layer devices and the number of devices corresponding to one or more models of other layer devices.
  • the processing unit 902 is specifically configured to: for each historical networking scheme among the multiple historical networking schemes, obtain user feedback from historical users on each type of equipment in each historical networking scheme. Ratings, and for any one model of equipment in multiple historical networking solutions, based on the user feedback ratings of any one model of equipment in different historical networking solutions, the user feedback information of any one model of equipment is obtained, Various types of equipment in multiple historical networking solutions include various types of equipment in the available device set.
  • the processing unit 902 is specifically configured to: for any device in the available device set, filter out multiple models of any device registered within a preset time period based on the device registration time, and Based on the number of registrations of each of the multiple models in the preset time period, determine the frequency of new additions of each of the multiple models, and based on the number of new additions of each of the multiple models in the preset time period. The number of times online within a time period determines the frequency of use of each model among multiple models. And based on the frequency of new additions and frequency of use, the popularity of each model among multiple models is obtained.
  • the networking requirements also include: verification requirements.
  • the processing unit 902 is also used to evaluate the networking solution according to the verification requirements and display the evaluation results.
  • the verification requirements include: model requirement matching degree check sub requirements and connection relationship matching degree check sub requirements.
  • the evaluation results include the networking score of the networking solution.
  • the processing unit 902 is specifically used to: evaluate the model demand matching degree of each device in the networking scheme according to the model demand matching degree check sub-requirement, obtain the model demand matching degree score of the networking scheme, and match according to the connection relationship
  • the degree check sub-requirement evaluates the matching degree of connection relationships between devices in the networking scheme to obtain the connection relationship matching score of the networking scheme, as well as the matching degree score of the model requirements of the networking scheme and the connection relationship of the networking scheme.
  • the matching score is used to obtain the network score.
  • the evaluation results also include: the model requirement matching score of each model of equipment in the networking plan and the connection relationship matching score corresponding to the connection between each two devices in the networking plan. .
  • the model requirement matching score of each model of device and/or the connection relationship matching score corresponding to the connection between each two devices includes a score that is less than a preset score. item.
  • the processing unit 902 is also used to: receive new networking requirements, and regenerate a networking plan according to the new networking requirements. Among them, the new networking requirements are the networking requirements adjusted based on the scoring items that are less than the preset score.
  • the processing unit 902 is also configured to: determine multiple target historical networking solutions from multiple historical networking solutions, application scenarios of the multiple target historical networking solutions, and applications of the networking solutions.
  • the scenario is the same, and based on the user feedback scores of historical users on multiple target historical networking solutions, the user feedback scores of each type of equipment in multiple target historical networking solutions are determined, and each model in multiple target historical networking solutions is obtained.
  • the statistics of user feedback ratings of various types of equipment Each type of equipment in multiple target historical networking solutions includes each type of equipment in the networking plan. Based on the statistics, the users of each type of equipment in the networking plan are determined. Satisfaction score, and based on the user satisfaction score of each type of equipment in the networking plan, the user satisfaction score of the networking plan is obtained, and the user satisfaction score of the networking plan is displayed.
  • the processing unit 902 is specifically configured to: obtain the candidate networking score of the networking plan based on the model requirement matching score of the networking plan and the connection relationship matching score of the networking plan, and obtain Statistics of multiple networking scores of multiple target historical networking solutions, and based on preset scoring rules, the networking score is determined based on the candidate networking scores and the statistics.
  • the processing unit 902 is also configured to: generate a unique identifier of the networking solution and the user's adoption identifier of the networking solution, obtain the user's feedback score of the networking solution, and combine the unique identifier, The user's adoption identification of the networking solution and the user feedback score are stored in association.
  • each unit of the networking device 900 described in FIG. 9 may also correspond to the corresponding descriptions with reference to the embodiments shown in FIGS. 2 to 6 .
  • the beneficial effects brought by the networking device 900 described in Figure 9 can be referred to the corresponding descriptions of the embodiments shown in Figures 2 to 6, and the description will not be repeated here.
  • FIG. 10 is a schematic structural diagram of an electronic device 1000 provided by an embodiment of the present application.
  • the electronic device 1000 includes a processor 1001, a memory 1002 and a communication interface 1003.
  • the processor 1001, the memory 1002 and the communication interface 1003 are connected to each other through a bus 1004.
  • Memory 1002 includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM), or Portable read-only memory (compact disc read-only memory, CD-ROM), the memory 1002 is used to store related computer programs and data.
  • Communication interface 1003 is used to receive and send data.
  • the processor 1001 may be one or more central processing units (CPUs). In the processor 1001 In the case of one CPU, the CPU can be a single-core CPU or a multi-core CPU.
  • CPUs central processing units
  • the electronic device can be a computer, a virtual machine, a server, a cloud device, etc.
  • the processor 1001 in the electronic device 1000 is used to read the computer program code stored in the memory 1002 and execute the method of any one of the embodiments shown in FIGS. 2 to 6 .
  • An embodiment of the present application also provides a chip, including: a processor, configured to call and run a computer program from a memory, so that the device installed with the above chip executes the method of any one of the embodiments shown in Figures 2 to 6.
  • Embodiments of the present application also provide a computer-readable storage medium.
  • the computer-readable storage medium stores programs and instructions for device execution. When it is run on an electronic device, the method flow shown in Figures 2 to 6 is be realized.
  • Embodiments of the present application also provide a computer program product, including a computer program.
  • a computer program product including a computer program.
  • processors mentioned in the embodiments of this application can be a central processing unit (Central Processing Unit, CPU), or other general-purpose processor, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit ( Application Specific Integrated Circuit (ASIC), off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • CPU Central Processing Unit
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • FPGA off-the-shelf programmable gate array
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.
  • non-volatile memory may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.
  • non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory.
  • Erase programmable read-only memory Electrodeically EPROM, EEPROM
  • Volatile memory may be Random Access Memory (RAM), which is used as an external cache.
  • RAM static random access memory
  • DRAM dynamic random access memory
  • DRAM synchronous dynamic random access memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double Data Rate SDRAM DDR SDRAM
  • ESDRAM enhanced synchronous dynamic random access memory
  • Synchlink DRAM SLDRAM
  • Direct Rambus RAM Direct Rambus RAM
  • the processor is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component
  • the memory storage module
  • the size of the sequence numbers of the above-mentioned processes does not mean the order of execution.
  • the execution order of each process should be determined by its functions and internal logic, and should not be used in the embodiments of the present application.
  • the implementation process constitutes any limitation.
  • the disclosed systems, devices and methods can be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined or can be integrated into another system, or some features can be ignored, or not implemented.
  • the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application can be integrated into one processing unit, each unit can exist physically alone, or two or more units can be integrated into one unit.
  • Modules in the device of the embodiment of the present application can be merged, divided, and deleted according to actual needs.

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Abstract

本申请公开了一种组网方法、组网装置、电子设备及存储介质,应用于网络通信技术领域。电子设备获取组网需求。组网需求包括场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求。电子设备根据场景需求获取组网结构,根据覆盖需求、设备能力需求和匹配需求确定组网结构中各层设备的款型和款型对应的数量,并连接组网结构中相邻两层间的设备以生成组网方案。这样可以降低网络开局中设备选型和组网拓扑等工作的人工介入程度,从而提升设备选型和组网拓扑生成的效率,进而提升网络开局的效率。

Description

一种组网方法、组网装置、电子设备及存储介质
本申请要求于2022年05月11日提交中国专利局、申请号为202210509866.X、申请名称为“一种组网方法、组网装置、电子设备及存储介质”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本发明涉及网络通信技术领域,尤其涉及一种组网方法、组网装置、电子设备及存储介质。
背景技术
网络开局通常包括方案设计、物料购买、搭建组网和配置部署等步骤,而方案设计阶段需要开展业务规划、无线网规、设备选型、组网拓扑、配置设计和撰写设计文档等工作,整个阶段的网络规划相对复杂,每项工作都需要大量人力介入,这使得网络开局的效率较低,且带来了较高的人力成本。
发明内容
本申请提供了一种组网方法、组网装置、电子设备及存储介质,可以基于组网需求生成组网方案,从而能够提升网络开局的效率。
第一方面,本申请提供一种组网方法。该方法可以应用于电子设备。电子设备获取组网需求。其中,组网需求包括场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求。电子设备根据场景需求获取组网结构,根据覆盖需求、设备能力需求和匹配需求,确定组网结构中各层设备的款型和款型对应的数量,并连接组网结构中相邻两层间的设备以生成组网方案。
本方案中,电子设备可以基于根据组网需求自动生成组网方案,降低了网络开局中设备选型和组网拓扑等工作的人工介入程度,从而提升设备选型和组网拓扑生成的效率,进而提升网络开局的效率。另外,该组网需求还包括上下游设备间的匹配需求,这有利于避免组网方案中连接的上下游设备出现能力不匹配等问题,能够使上下游设备的协同能力更强,从而有利于提升组网方案的整体性能。
在一种可能的实现方式中,设备能力需求包括:第一设备能力子需求和第二设备能力子需求。第一设备能力子需求指示组网结构中的第一层设备的能力需求。第二设备能力子需求指示组网结构中除第一层设备外的其他层设备的能力需求。电子设备根据覆盖需求和第一设备能力子需求确定第一层设备的款型,以及第一层设备的款型对应的设备数量,并根据第一层设备的款型、第一层设备的款型对应的设备数量、第二设备能力子需求和匹配需求确定其他层设备的款型和其他层设备的款型对应的设备数量。
在本实现方式中,电子设备首先基于覆盖需求、第一层设备的第一设备能力子需求确定第一层设备的推荐款型和各推荐款型对应的设备数量。然后从第一层设备开始,电子设备基于下游设备的各款型和各款型对应的数量、上游设备的第二设备能力子需求和该上游设备与 下游设备间的匹配需求确定上游设备的推荐款型和各推荐款型对应的设备数量。这样采用层层匹配的方式确定出的各层设备,与其上下游设备间的匹配程度更高,有利于避免上下游设备间出现能力不匹配等问题。
在一种可能的实现方式中,电子设备根据覆盖需求确定第一层设备的数量,并根据第一层设备的数量和第一设备能力子需求确定第一层设备的一个或多个款型,以及第一层设备的一个或多个款型分别对应的设备数量。
在本实现方式中,覆盖需求决定了用户对第一层设备的数量要求。基于用户对第一层设备的数量要求和第一层设备的第一设备能力子需求,可以确定出第一层设备的一个或多个推荐款型和各推荐款型对应的设备数量,便于后续基于第一层设备的一个或多个推荐款型和各推荐款型对应的设备数量确定其它层设备的推荐款型和推荐款型对应的设备数量。
在一种可能的实现方式中,电子设备获取可用设备集中各款型设备的用户反馈信息和热门程度信息,并根据覆盖需求、设备能力需求、匹配需求、用户反馈信息和热门程度信息,确定组网结构中各层设备的款型和款型对应的数量。
在本实现方式中,电子设备在确定各层设备的款型和该款型对应的数量时,除了组网需求,还考虑了各层设备的各款型的用户反馈信息和热门程度信息。用户反馈信息能够表示历史用户对各层设备的各款型的偏好程度。热门程度信息能够表示各层设备的各款型的注册情况和/或使用情况,有利于避免向用户推荐断货、冷门或停产的款型。因此,基于组网需求、用户反馈信息和热门程度信息确定出的各层设备可以是较热门的设备,更符合用户诉求。
在一种可能的实现方式中,电子设备根据第一层设备的数量、第一设备能力子需求、用户反馈信息和热门程度,确定第一层设备的一个或多个款型以及第一层设备的一个或多个款型分别对应的设备数量,并根据第一层设备的款型、第一层设备的款型对应的设备数量、第二设备能力子需求、匹配需求、用户反馈信息和热门程度信息,确定其他层设备的一个或多个款型和其他层设备的一个或多个款型对应的设备数量。
在本实现方式中,电子设备在每层设备的推荐中,除了考虑了上下游设备间的匹配需求,还考虑了该层设备的用户反馈信息和热门程度信息,从而可以推荐出较热门、更符合用户诉求的设备款型。
在一种可能的实现方式中,电子设备对于多个历史组网方案中的每个历史组网方案,获取历史用户对每个历史组网方案中各款型设备的用户反馈评分。对于多个历史组网方案中的任意一个款型的设备,电子设备基于任意一个款型的设备在不同历史组网方案中的用户反馈评分,得到任意一个款型的设备的用户反馈信息,多个历史组网方案中的各款型设备包括可用设备集中的各款型设备。
在本实现方式中,将每个历史组网方案的用户反馈评分作为每个历史组网方案中各款型组网设备的用户反馈评分。对于任意一个款型的设备,基于其在不同历史组网方案中的用户反馈评分计算得到其用户反馈信息。由此便可得到可用设备集中的各款型设备的用户反馈信息,以便于后续基于可用设备集中的各款型设备的用户反馈信息确定各层设备的推荐款型和各款型对应的数量。
在一种可能的实现方式中,电子设备对于可用设备集中的任意一种设备,基于设备注册时间筛选出任意一种设备在预设时间段内注册的多个款型。基于多个款型中的各款型在预设时间段内的注册数量,电子设备确定多个款型中的各款型的新增频繁程度。基于多个款型中的各款型在预设时间段内的上线次数,电子设备确定多个款型中的各款型的使用频繁程度。电子设备根据新增频繁程度和使用频繁程度,得到多个款型中各款型的热门程度信息。
在本实现方式中,电子设备可基于任意一种设备在预设时间段内注册的各款型的注册数量对各款型进行排序,得到各款型的注册数量排名。基于该注册数量排名确定各款型的分数,将该分数作为各款型的新增频繁程度。还可基于任意一种设备在预设时间段内注册的各款型的上线次数对各款型进行排序,得到各款型的上线次数排名。基于该上线次数排名得到各款型的又一分数,将该分数作为各款型的使用频繁程度。综合该使用频繁程度和新增频繁程度确定各款型的热门程度信息,以便于后续基于任意一种设备的各款型的热门程度信息确定各层设备的推荐款型和各款型对应的数量。
在一种可能的实现方式中,组网需求还包括:校验需求,电子设备还根据校验需求评估组网方案,并显示评估结果。
在本实现方式中,电子设备可以根据校验需求对生成的组网方案进行评估(或校验),并输出评估结果。用户可参考该评估结果确定是否采纳该组网方案,或者确定哪些需求需要调整。
在一种可能的实现方式中,校验需求包括:款型需求匹配度校验子需求和连接关系匹配度校验子需求。评估结果包括:组网方案的组网评分。电子设备根据款型需求匹配度校验子需求对组网方案中各设备的款型需求匹配度进行评估以得到组网方案的款型需求匹配度评分,根据连接关系匹配度校验子需求对组网方案中设备间的连接关系匹配度进行评估以得到组网方案的连接关系匹配度评分,并根据组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分,得到组网评分。
在本实现方式中,从款型需求匹配度和连接关系匹配度等方面对组网方案进行评估校验,由款型需求匹配度评分和连接关系匹配度评分计算得到组网评分。该组网评分能够反映出组网方案与用户需求的匹配程度和整体性能。因此,将该组网评分呈现给用户,以便于用户可参考该组网评分确定是否采纳该组网方案。
在一种可能的实现方式中,评估结果还包括:组网方案中每个款型的设备的款型需求匹配度评分和组网方案中每两个设备间连线对应的连接关系匹配度评分。
在本实现方式中,可以为每个款型的设备的款型需求匹配度校验子需求和每两个设备间连接关系匹配度校验子需求设置等级。该等级可以表示每个款型的设备的款型需求匹配度校验子需求和每两个设备间连接关系匹配度校验子需求的重要程度。电子设备可以按照该等级显示每个款型需求匹配度校验子需求对应的款型需求匹配度评分、每个连接关系匹配度校验子需求对应的连接关系匹配度评分,从而有利于用户直观地看出该组网方案满足较差的校验子需求,进而有利于触发用户调整其组网需求。
在一种可能的实现方式中,每个款型的设备的款型需求匹配度评分和/或每两个设备间连线对应的连接关系匹配度评分中包括小于预设分值的评分项。电子设备接收新的组网需求,并根据新的组网需求重新生成组网方案。
在本实现方式中,新的组网需求是指用户基于小于预设分值的评分项重新输入的组网需求信息。小于预设分值的评分项示出了组网方案满足较差的校验子需求,但是用户的原本意图可能需要组网方案较好地满足该校验子需求。因此,显示小于预设分值的评分项可以触发用户调整其之前输入的需求信息,以促使电子设备根据重新输入的用户组网需求生成新的组网方案。
在一种可能的实现方式中,电子设备从多个历史组网方案中确定出多个目标历史组网方案。其中,多个目标历史组网方案的应用场景与组网方案的应用场景相同。根据历史用户对多个目标历史组网方案的用户反馈评分,确定多个目标历史组网方案中各款型设备的用户反 馈评分。获取多个目标历史组网方案中各款型设备的用户反馈评分的统计量。其中,多个目标历史组网方案中的各款型设备包括组网方案中的各款型设备。根据该统计量,确定组网方案中各款型设备的用户满意度评分。根据组网方案中各款型设备的用户满意度评分,得到组网方案的用户满意度评分,并显示组网方案的用户满意度评分。
在本实现方式中,将组网方案的用户满意度评分呈现给用户,则组网方案的用户满意度评分可作为组网评分以外的另一项参考指标,帮助用户决定是否采纳该组网方案。
在一种可能的实现方式中,电子设备根据组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分,得到组网方案的候选组网评分,获取多个目标历史组网方案的多个组网评分的统计量。基于预设评分规则,电子设备根据候选组网评分和该统计量确定组网评分。
在本实现方式中,将候选组网评分与统计量进行比较,能够反映出该组网方案在相同应用场景的多个目标历史组网方案中的性能水平。基于该性能水平和预设评分规则,电子设备可确定组网方案的组网评分。因此,该组网评分能够直观地反映组网方案在同行业/同应用场景的历史组网方案中的性能水平。
在一种可能的实现方式中,电子设备生成组网方案的唯一标识和用户对组网方案的采纳选择,获取用户对组网方案的用户反馈评分,将唯一标识、用户对组网方案的采纳选择和用户反馈评分关联存储。
在本实现方式中,采纳选择用于表示用户是否采纳了该组网方案。将唯一标识、用户对组网方案的用户反馈评分和采纳标识关联存储,有利于后续利用该组网方案的用户反馈评分和采纳标识进行款型推荐和组网生成。
第二方面,本申请提供一种组网装置,该装置具有实现上述第一方面的方法实施例中行为的功能。所述功能可以通过硬件实现,也可以通过硬件执行相应的软件实现。所述硬件或软件包括一个或多个与上述功能相对应的模块。
在一种可能的实现方式中,该装置包括获取单元和处理单元。获取单元,用于获取组网需求,组网需求包括场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求。处理单元,用于根据场景需求,获取组网结构。处理单元,还用于根据覆盖需求、设备能力需求和匹配需求,确定组网结构中各层设备的款型和款型对应的数量。处理单元,还用于连接组网结构中相邻两层间的设备,生成组网方案。
在一种可能的实现方式中,设备能力需求包括:第一设备能力子需求和第二设备能力子需求。第一设备能力子需求指示组网结构中的第一层设备的能力需求。第二设备能力子需求指示组网结构中除第一层设备外的其他层设备的能力需求。处理单元具体用于:根据覆盖需求和第一设备能力子需求确定第一层设备的款型,以及第一层设备的款型对应的设备数量。根据第一层设备的款型、第一层设备的款型对应的设备数量、第二设备能力子需求和匹配需求确定其他层设备的款型和其他层设备的款型对应的设备数量。
在一种可能的实现方式中,处理单元具体用于:根据覆盖需求确定第一层设备的数量。根据第一层设备的数量和第一设备能力子需求确定第一层设备的一个或多个款型,以及第一层设备的一个或多个款型分别对应的设备数量。
在一种可能的实现方式中,处理单元具体用于:获取可用设备集中各款型设备的用户反馈信息和热门程度信息。根据覆盖需求、设备能力需求、匹配需求、用户反馈信息和热门程度信息,确定组网结构中各层设备的款型和款型对应的数量。
在一种可能的实现方式中,处理单元具体用于:根据第一层设备的数量、第一设备能力 子需求、用户反馈信息和热门程度,确定第一层设备的一个或多个款型以及第一层设备的一个或多个款型分别对应的设备数量。根据第一层设备的款型、第一层设备的款型对应的设备数量、第二设备能力子需求、匹配需求、用户反馈信息和热门程度信息,确定其他层设备的一个或多个款型和其他层设备的一个或多个款型对应的设备数量。
在一种可能的实现方式中,处理单元具体用于:对于多个历史组网方案中的每个历史组网方案,获取历史用户对每个历史组网方案中各款型设备的用户反馈评分。对于多个历史组网方案中的任意一个款型的设备,基于任意一个款型的设备在不同历史组网方案中的用户反馈评分,得到任意一个款型的设备的用户反馈信息,多个历史组网方案中的各款型设备包括可用设备集中的各款型设备。
在一种可能的实现方式中,处理单元具体用于:对于可用设备集中的任意一种设备,基于设备注册时间筛选出任意一种设备在预设时间段内注册的多个款型。基于多个款型中的各款型在预设时间段内的注册数量,确定多个款型中的各款型的新增频繁程度。基于多个款型中的各款型在预设时间段内的上线次数,确定多个款型中的各款型的使用频繁程度。根据新增频繁程度和使用频繁程度,得到多个款型中各款型的热门程度。
在一种可能的实现方式中,组网需求还包括:校验需求。处理单元还用于:根据校验需求评估组网方案,并显示评估结果。
在一种可能的实现方式中,校验需求包括:款型需求匹配度校验子需求和连接关系匹配度校验子需求。评估结果包括组网方案的组网评分。处理单元具体用于:根据款型需求匹配度校验子需求对组网方案中各设备的款型需求匹配度进行评估,得到组网方案的款型需求匹配度评分。根据连接关系匹配度校验子需求对组网方案中设备间的连接关系匹配度进行评估,得到组网方案的连接关系匹配度评分。根据组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分,得到组网评分。
在一种可能的实现方式中,评估结果还包括:组网方案中每个款型的设备的款型需求匹配度评分和组网方案中每两个设备间连线对应的连接关系匹配度评分。
在一种可能的实现方式中,每个款型的设备的款型需求匹配度评分和/或所述每两个设备间连线对应的连接关系匹配度评分中包括小于预设分值的评分项。处理单元还用于:接收新的组网需求,并根据新的组网需求重新生成组网方案。
在一种可能的实现方式中,处理单元还用于:从多个历史组网方案中确定出多个目标历史组网方案,多个目标历史组网方案的应用场景与组网方案的应用场景相同。根据历史用户对多个目标历史组网方案的用户反馈评分,确定多个目标历史组网方案中各款型设备的用户反馈评分。获取多个目标历史组网方案中各款型设备的用户反馈评分的统计量,多个目标历史组网方案中的各款型设备包括组网方案中的各款型设备。根据统计量,确定组网方案中各款型设备的用户满意度评分。根据组网方案中各款型设备的用户满意度评分,得到组网方案的用户满意度评分,并显示组网方案的用户满意度评分。
在一种可能的实现方式中,处理单元具体用于:根据组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分,得到组网方案的候选组网评分。获取多个目标历史组网方案的多个组网评分的统计量。基于预设评分规则,根据候选组网评分和该统计量确定组网评分。
在一种可能的实现方式中,处理单元还用于:生成组网方案的唯一标识和用户对组网方案的采纳选择。获取用户对组网方案的用户反馈评分。将唯一标识、用户对组网方案的采纳选择和用户反馈评分关联存储。
需要说明的是,第二方面的有益效果可以参照第一方面的描述,此处不再重复描述。
第三方面,本申请提供一种电子设备,包括:处理器和存储器。存储器用于存储计算机程序。处理器用于执行所述存储器中存储的计算机程序,以使得所述电子设备执行如上述第一方面中任意一种可能的实现方式中的方法。
第四方面,本申请提供一种计算机可读存储介质,包括程序和指令,当所述程序或指令在处理器上运行时,如上述第一方面中任意一种可能的实现方式中的方法被执行。
第五方面,本申请提供一种计算机程序产品,包括计算机程序,计算机程序被电子设备运行时,使得所述电子设备执行如上述第一方面中任意一种可能的实现方式中的方法。
附图说明
为了更清楚地说明本发明实施例或背景技术中的技术方案,下面将对本发明实施例或背景技术中所需要使用的附图进行说明。
图1为本申请实施例提供的一种系统架构的示意图;
图2为本申请实施例提供的一种组网方法的流程示意图;
图3为本申请实施例提供的一种组网需求代码化后的示意图;
图4为本申请实施例提供的一种组网拓扑的示意图;
图5为本申请实施例提供的另一种组网拓扑的示意图;
图6为本申请实施例提供的另一种组网方法的流程示意图;
图7A为本申请实施例提供的一种组网需求输入界面的示意图;
图7B为本申请实施例提供的一种零售商超组网需求代码化后的示意图;
图7C为本申请实施例提供的一种零售商超组网中部分输入条件的示意图;
图8为本申请实施例提供的一种零售商超组网拓扑的示意图;
图9为本申请实施例提供的一种组网装置的结构示意图;
图10为本申请实施例提供的一种电子设备的结构示意图。
具体实施方式
为了便于本领域技术人员理解本申请,下文结合附图对本申请提供的技术方案进行介绍。
本申请提供一种组网方法、组网装置、电子设备及存储介质。该组网方法可以由电子设备执行,比如电子设备可以是计算机、虚拟机、服务器、云端设备、移动终端等。电子设备获取组网需求,并根据组网需求中的场景需求得到对应的组网结构。其中,场景需求可以是组网方案的应用场景。电子设备根据该应用场景可以确定该应用场景中典型(或常用)的组网结构。基于组网需求中的覆盖需求、设备能力需求和上下游设备间的匹配需求,电子设备确定组网结构中各层设备的推荐款型和各款型对应的数量,连接相邻两层间的推荐设备以生成组网方案,并向用户推荐该组网方案。其中,场景需求、覆盖需求、设备能力需求通常是由用户输入的。上下游设备间的匹配需求可以是由用户输入的,也可以是预先设定的。该方案中,电子设备根据组网需求自动生成组网方案,降低了网络开局中的人力投入,提升了网络开局的效率。另外,该组网需求还包括上下游设备间的匹配需求,有利于避免推荐的组网 方案中上下游设备间能力不匹配等问题,连接匹配度更高的上下游设备生成组网方案,能够提升组网方案的整体性能。
请参见图1,图1为本申请实施例提供的一种系统架构的示意图。如图1所示,该系统架构中至少可以包括用户交互模块、组网推荐模块和数据库。其中,用户交互模块包括需求输入子模块、组网输出子模块和用户评分子模块。组网推荐模块包括设备款型推荐子模块、组网生成子模块和组网评估子模块。数据库包括云管理数据库、设备款型数据库和组网详情数据库。在一种可能的实现方式中,数据库可以部署在云端,用户交互模块和组网推荐模块可以部署在应用程序、小程序、软件(例如:提供组网推荐服务的软件)和浏览器等客户端。在另一种可能的实现方式中,数据库、用户交互模块和组网推荐模块都可以部署在云端。用户可通过应用程序、小程序、软件和浏览器等使用组网推荐服务。
其中,需求输入子模块,用于获取组网需求。例如,需求输入子模块提供人机交互界面,用户可在该人机交互界面输入组网需求。该组网需求可以包括场景需求、覆盖需求、设备能力需求,等等。示例性的,场景需求可以是网络的应用场景/行业,比如:零售商超场景、分支办公场景、高校场景,等等。覆盖需求可以表示用户对网络设备数量的需求,比如:在零售商超场景中,用户对网络设备数量的需求取决于商超的总面积、客流量、终端的数量等;在分支办公场景中,用户对网络设备数量的需求取决于企业员工数量、办公室的总面积、办公室、会议室、服务器等,比如:用户要求每间办公室、会议室的接入点(access point,AP)数量为5个,则办公室、会议室的数量就决定了AP的需求总数;比如:服务器的数量和类型可以决定交换机的款型和各款型对应的数量;在高校场景中,用户对网络设备数量的需求取决于师生数量、校园面积、普通教室、阶梯教室、实验室等,比如:用户要求每间普通教室、阶梯教室、实验室的AP数量为50个,则普通教室、阶梯教室、实验室的数量就决定了AP的需求总数。设备能力需求可以包括设备的品质等级(Quality)、设备的功能需求,例如,设备是否具有视频监控功能、设备是否需要敏捷分布式无线网络通信技术(Wireless Fidelity,WiFi)、设备是否具备物联网(Internet of Things,IoT)功能、设备是否具有以太网供电(Power over Ethernet,PoE)能力,等等。示例性的,用户输入的需求还可以包括上下游设备间的匹配需求,比如:在一种典型的组网结构中,交换机是AP的上游设备,则该匹配需求可以包括交换机的PoE供电能力大于或等于AP的PoE供电需求、交换机的下行端口类型与AP的上行端口类型均为电口、交换机下行端口速率与AP的上行端口速率相匹配、交换机的转发能力大于等于AP的转发能力,等等。需要说明的是,上下游设备间的匹配需求也可以是预先设定的,即不需要用户输入。
其中,设备款型推荐子模块,用于根据场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求,对本次组网需要的设备款型和各款型对应的设备数量进行推荐。进一步的,设备款型推荐子模块还可基于云管理数据库中存储的设备使用数据和设备注册数据得到各款型设备的热门程度信息。设备款型推荐子模块还可基于组网详情数据库中存储的多个历史组网方案的用户反馈评分得到各款型设备的用户反馈信息。基于场景需求、覆盖需求、设备能力需求、上下游设备间的匹配需求、各款型设备的热门程度信息、用户反馈信息和设备款型数据库中存储的各款型设备的详细参数,设备款型推荐子模块可以推荐最符合用户需求的设备款型和各款型对应的设备数量。
其中,组网生成子模块,用于将设备款型推荐子模块推荐的属于上下游关系的各款型设备连接,以生成组网方案。
其中,组网评估子模块,用于根据校验需求对生成的组网方案进行评估校验,以得到组网方案的组网评分。示例性的,该校验需求可以是用户输入的,也可以是预先设定的,此处不做限定。示例性的,组网评估子模块还可以从款型需求匹配度和连接关系匹配度等多个方面对组网方案进行综合评估。进一步的,组网评估子模块还可以基于多个历史组网方案的用户反馈评分得到本次生成的组网方案的用户满意度评分。
其中,组网输出子模块,用于输出组网方案。例如,组网输出子模块通过人机交互界面显示本次生成的组网方案。组网输出子模块还用于输出该组网方案的组网评分,例如,通过人机交互界面显示该组网方案的组网评分。用户可基于该组网评分确定是否采纳该组网方案。进一步的,组网输出子模块还可以通过人机交互界面向用户呈现组网方案的用户满意度评分。进一步的,组网输出子模块,还可向用户呈现每个校验需求和每个校验需求的评分,用户基于每个校验需求的评分可直观地得到本次生成的组网方案满足较差的需求项。基于此,若该需求项的重要程度较高,则用户可对之前输入的需求进行调整,以促使设备款型推荐子模块和组网生成子模块基于新的用户需求重新生成组网方案,以更好地匹配重要程度较高的需求项。
其中,用户评分子模块,用于记录用户是否采纳组网输出子模块输出的组网方案,以及用户对该组网方案的打分(即用户反馈评分)。将组网方案的采纳情况和用户评分存储至组网详情数据库。
其中,云管理数据库,用于存储设备的基本参数、设备上线数据、设备使用数据、设备注册数据等。如表1给出了云管理数据库中数据表的一种示例:
表1
表1中设备的基本参数包括用户标识(identifier,ID)、设备所属的项目、设备角色(或类别)、款型、设备ID(比如设备的物理地址)等。设备上线数据可以是设备的最后上线时间。设备注册数据可以是设备的注册时间。其中,设备角色可以是防火墙(Firewall,FW)、汇聚交换机(Aggregation Switch,AGG)、接入交换机(Access Switch,ACC)、AP等。
其中,设备款型数据库,用于存储各款型设备的属性信息。如表2给出了设备款型数据库中AP款型数据表的一种示例:
表2
表2中AP各款型的属性信息包括设备的款型、PoE供电速度(可基于支持PoE供电的端口数量得到,通常是基于AP的上行端口数量,其单位为吉字节(gigabyte,G))、是否支持敏捷分布式WiFi(比如:N表示否、Y表示是)、是否支持IoT、是否支持视频监控、是否为面板型AP、应用行业/场景是否为零售(retail)行业/场景、应用行业/场景是否为教育行业/场景、应用行业/场景是否为办公行业/场景、需要的最低PoE供电等级、停止销售日期、停止服务支持日期、中国区是否销售、支持的最新软件版本、Quality(比如:高(High)、中(Middle)、低(Low))、端口数量、端口速率、端口类别,等等。设备款型数据库存储了各种设备的众多款型,且会及时对设备款型进行更新,为用户提供了更多选择。基于用户需求,电子设备可以为用户推荐热门程度较高、性能更优的设备。
其中,组网详情数据库,用于存储每个组网方案的组网需求。如表3给出了组网详情数据库中组网方案的组网需求表的一种示例:
表3
表3中以组网ID为主键,每个组网方案的组网需求包括但不限于应用场景、Quality、有线终端数量、AP数量、是否需要办公WiFi、是否需要访客WiFi。
组网详情数据库,还用于存储每个组网方案中的设备款型和各款型对应的设备数量。如表4给出了一个组网方案中的设备款型和各款型对应的设备数量表的一种示例:
表4

表4中同样以组网ID为主键,示例性的给出了包括FW、ACC、AGG和AP的组网方案中,各设备的款型和各款型对应的数量。
组网详情数据库,还用于存储用户对组网方案的采纳标识、用户反馈评分和组网方案的组网评分等信息。如表5给出了组网详情数据库中组网方案的采纳标识、用户反馈评分和组网评分的一种示例:
表5
表5中同样以组网ID为主键,采纳标识用于表示用户是否采纳了该组网方案(比如:N表示未采纳、Y表示采纳)。通过组网ID可以将表3至表5关联起来,得到每个组网的组网需求、设备款型和数量,以及组网评分、用户反馈评分等信息。
基于图1所示的系统架构,本申请可以实现以下实施例中所描述的组网方法,以降低网络开局中设备选型和组网拓扑等工作的人工介入程度,从而提升设备选型和组网拓扑生成的效率,进而提升网络开局的效率。
下面结合具体实施方式对本申请提供的技术方案进行详细的介绍。
请参见图2,图2为本申请实施例提供的一种组网方法的流程示意图。该组网方法可由电子设备执行,用于生成组网方案(或组网拓扑)。该组网方法包括但不限于如下步骤或操作:
201:获取组网需求,组网需求包括场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求。
其中,场景需求、覆盖需求、设备能力需求通常是由用户输入的,上下游设备间的匹配需求可以是用户输入的,也可以是预先设定的。
202:根据场景需求,获取组网结构。
其中,场景需求所指示的应用场景决定了用户对网络所能提供的服务的需求。比如在零售商超场景中,用户可能需要的服务包括:有线办公、办公WiFi、访客WiFi、电子价签、收银、电子秤、手持PDA(Personal Digital Assistant,个人数字助手)、摄像头等。比如在分支办公场景中,用户可能需要的服务包括:有线办公、办公WiFi、访客WiFi、前台接待、IoT和摄像头等。比如在高校场景中,用户可能需要的服务包括:有线办公、办公WiFi、有线教学、教学WiFi、宿舍有线、宿舍WiFi、IoT和摄像头等。通过对各应用场景中网络所能提供的服务进行分析,可以得到各应用场景中网络所能提供的典型服务,并为该典型服务设定对应的组网结构。当电子设备根据场景需求确定用户组网的应用场景,则可将该应用场景涉及的典型服务所对应的组网结构作为需生成的组网方案的组网结构。
203:根据覆盖需求、设备能力需求和匹配需求,确定组网结构中各层设备的款型和款型对应的数量。
其中,覆盖需求可以是用户输入的网络设备的数量,比如:AP和有线终端的数量。覆盖需求也可以是用户输入的面积、房间数、客流量等信息,比如:在分支办公场景中,覆盖需求可以包括员工人数、办公室数量、每个办公室需要的AP数量等信息。电子设备根据、办 公室数量、每个办公室需要的AP数量可以确定用户要求的AP的数量。比如:50个办公室,每个办公室需要2个AP,则用户要求的AP数量为100个。电子设备根据员工人数可以确定用户要求的有线终端的数量。比如:100个员工,则用户要求的有线终端的数量可以为100个。
在一种可能的实现方式中,设备能力需求包括:第一设备能力子需求和第二设备能力子需求。第一设备能力子需求指示组网结构中的第一层设备的能力需求。第二设备能力子需求指示组网结构中除第一层设备外的其他层设备的能力需求。电子设备根据覆盖需求确定组网结构中第一层设备的数量。根据第一层设备的数量和第一设备能力子需求确定第一层设备的一个或多个款型,以及第一层设备的一个或多个款型分别对应的设备数量。
在一种可能的实现方式中,电子设备根据第一层设备的款型、第一层设备的款型对应的设备数量、第二设备能力子需求和匹配需求确定组网结构中其他层设备的款型和其他层设备的款型对应的设备数量。
例如,电子设备根据场景需求获取到的组网结构中包括:FW、AGG、ACC和AP四种设备,则第一层设备为AP、第二层设备为ACC、第三层设备为AGG、第四层设备为FW。电子设备根据代码化后的组网需求确定用户对网络的具体需求,请参见图3,图3为本申请实施例提供的一种组网需求代码化后的示意图。图3中:“wired_num”表示用户要求的有线终端的数量,示例中为100;“ap_num”表示用户要求的AP的数量,示例中为100;“Quality”表示用户要求的设备的品质等级,示例中为High;“IoT”表示用户是否需要物联网功能,示例中为是(Y);“Scene”表示应用场景,示例中为零售商超(Supermarket);“Video_monitor”表示用户是否需要视频监控功能,示例中为是(Y);“Distributed”表示是否需要敏捷分布式WiFi,示例中表示不需要(N);“Plate”表示是否需要面板AP,示例中为不需要(N)。
电子设备基于代码化后的组网需求构建组网的输入条件。在第一个维度,构建组网的硬性条件和软性条件。其中,硬性条件是指组网必须满足的条件,若没有满足该硬性条件,组网拓扑将不能正常提供用户需要的网络服务。软性条件是指在满足硬性条件的基础上,尽量满足的条件,该软性条件可以使组网拓扑的网络运行更好、性能更优。比如,硬性条件可以包括:ACC的端口数量大于或等于有线终端的数量与AP的数量之和;AP的IoT功能与用户要求的IoT功能相匹配;ACC的PoE供电能力大于或等于AP的PoE供电需求;敏捷分布式WiFi的中心AP与远端单元相匹配,等等。软性条件可以是:各设备的“Quality”与用户要求的“Quality”相匹配;各设备的“Scene”与用户要求的“Scene”相匹配;ACC的“Video_monitor”与用户要求的“Video_monitor”相匹配;AP的“Distributed”与用户要求的“Distributed”相匹配;AP的“Plate”与用户要求的“Plate”相匹配;AP上行端口的类型为电口;ACC上行端口的类型为光口;ACC下行端口的类型为电口;AGG上行端口的类型为光口;AGG下行端口的类型为光口;FW上行端口的类型为光口;FW下行端口的类型为光口;AP上行端口速率大于或等于1吉比特每秒(Gigabit per second,Gbps);ACC上行端口速率大于或等于10Gbps;ACC下行端口速率大于或等于1Gbps;AGG上行端口速率大于或等于10Gbps;AGG下行端口速率大于或等于1Gbps;FW下行端口速率大于或等于1Gbps,等等。在第二个维度,进一步将硬性条件分为硬性等式条件和硬性不等式条件,比如:硬性等式条件可以是AP的“IoT”=用户需求的“IoT”,硬性不等式条件可以是ACC的PoE供电能力≥AP的PoE供电需求,等等。将软性条件分为软性等式条件和软性不等式条件,比如:软性等式条件可以是AP的“Quality”=用户需求的“Quality”,软性不等式条件可以是AP上行端口速率≥1Gbps,等等。
电子设备利用各层设备相关的输入条件,建立各层设备的款型推荐模型。定义AP、ACC、 AGG和FW的各款型推荐数量的变量分别为XAP、XACC、XAGG、XFW。其中,该4个变量均为向量,由该类设备的各款型对应的数量构成。比如:n为AP的款型数量,表示AP的第n个款型对应的设备数量。同时,定义AP、ACC、AGG和FW的各款型的属性信息的变量。比如:AP各款型的Quality可以定义为XAP,Quality应理解,表示AP的第n个款型的品质等级。
第一步,从输入条件中选取采用第一层设备(即AP)的数量和第一设备能力子需求,基于款型推荐模型确定第一层设备的一个或多个推荐款型以及每个推荐款型对应的数量。该款型推荐模型例如为如下所示,其中s.t.部分表示各推荐款型必须要满足的条件(可以称之为硬性条件),例如,设备的数量要求(例如,如下所示的ap_num)、设备的某个能力要求(例如,如下所示的IoT能力)等,Min部分表示在满足硬性条件的前提下,尽量满足的条件(可以称之为软性条件),例如,设备的品质要求,设备的应用场景匹配要求等。

s.t.‖(XAP,IoT="Y")·XAP1-ap_num=0
‖XAP1-"ap_num"=0
其中,Min表示最小化,w11,w12,…表示软性等式约束惩罚项的系数,w21,…表示软性不等式约束惩罚项的系数,XAP,Scene表示各款型AP的应用场景,表示各款型AP的上行端口速率,XAP,IoT表示各款型AP的“IoT”能力。·表示向量间的点积,“||||1”表示向量的1-范数。表示各款型AP的上行端口速率是否大于或等于1G,若是,则不作为惩罚项;若否,则 作为惩罚项。‖XAP1-"ap_num"=0表示AP的各款型的数量总和需要与用户要求的AP数量"ap_num"相等。‖(XAP,IoT="Y")·XAP1-″ap_num”=0表示在用户要求设备具备IoT功能的情况下,推荐的具备IoT功能的AP需要与要求的AP数量"ap_num"相等。上述1G可以是对各款型AP的上行端口速率的默认要求。可以理解的是,1G也可以是其他数值,例如,0.5G,或者用户输入的其他数值。
通过对AP的款型推荐模型进行求解,得到AP的一个或多个推荐款型,以及该一个或多个推荐款型分别对应的设备数量,即求解出XAP。即,基于用户对第一层设备的数量要求和第一层设备的第一设备能力子需求,电子设备可以确定出第一层设备的一个或多个推荐款型和各推荐款型对应的设备数量。之后电子设备可以基于第一层设备的一个或多个推荐款型和各推荐款型对应的设备数量确定其它层设备的推荐款型和推荐款型对应的设备数量。
第二步,从输入条件中选取出第二层设备(即ACC)的第二设备能力子需求、ACC与AP之间的匹配需求,并基于第一步中获取的AP的推荐款型和各推荐款型对应的设备数量,确定ACC的一个或多个推荐款型以及各款型对应的数量。类似地,该确定过程可以基于ACC的款型推荐模型实现,该款型推荐模型例如为如下所示,包括s.t部分表示的ACC必须满足的硬性条件和Min部分表示的ACC可以满足的软性条件。



||(XACC,Distributed="Y")·XACC||1=0
其中,XACC,Quality表示各款型ACC的Quality,表示各款型ACC是否具备视频监控功能,表示各款型ACC的上行端口速率,表示各款型ACC的下行端口数量,表示各款型ACC支持PoE供电的端口数量,XACC,Distributed表示各款型ACC是否支持敏捷分布式WiFi。表示各款型ACC的上行端口速率是否大于或等于10G,若是,则不作为惩罚项,若否,则作为惩罚项。表示推荐的所有ACC的下行端口总数需要大于或等于有线终端数量与AP数量之和。表示推荐的所有ACC支持PoE供电的端口总数需要大于或等于AP数量。||(XACC,Distributed="Y")·XACC||1=0表示不需要支持敏捷分布式WiFi的ACC。在已知第一层设备(即AP)的各款型和各款型对应的设备数量的情况下,电子设备利用AP的各款型和各款型对应的设备数量对ACC的款型推荐模型进行求解,得到ACC的一个或多个推荐款型,以及该一个或多个推荐款型分别对应的设备数量,即求解出XACC。上述10G可以是对各款型ACC的上行端口速率的默认要求。可以理解的是,10G也可以是其他数值,例如,5G,或者用户输入的其他数值。
第三步,从输入条件中选取出第三层设备(即AGG)的第二设备能力子需求、AGG与ACC之间的匹配需求,并基于ACC的各款型和各款型对应的设备数量,确定AGG的一个或多个推荐款型以及各款型对应的数量。类似地,该确定过程可以基于AGG的款型推荐模型实现,该款型推荐模型例如为如下所示,包括s.t部分表示的AGG必须满足的硬性条件和Min部分表示的AGG可以满足的软性条件。

其中,XAGG,Quality表示各款型AGG的Quality,表示各款型AGG的下行端口类型,表示各款型AGG的上行端口速率,表示各款型AGG的下行端口数量,"Optical"表示光口。表示各款型AGG的上行端口速率是否大于或等于10G,若是,则不作为惩罚项;若否,则作为惩罚项。表示推荐的所有AGG的下行端口总数需要大于或等于ACC数量。在已知第二层设备(即ACC)的各款型和各款型对应的设备数量的情况下,电子设备利用ACC的各款型和各款型对应的设备数量对AGG的款型推荐模型进行求解,得到AGG的一个或多个推荐款型,以及该一个或多个推荐款型分别对应的设备数量,即求解出XAGG。上述10G可以是对各款型AGG的上行端口速率的默认要求。可以理解的是,10G也可以是其他数值,例如,5G,或者用户输入的其他数值。
第四步,从输入条件中选取出采用第四层设备(即FW)的第二设备能力子需求、FW与AGG之间的匹配需求,并基于AGG的各款型和各款型对应的设备数量,确定FW的推荐款型和各推荐款型对应的数量。类似地,该确定过程可以基于FW的款型推荐模型实现,该款型推荐模型例如为如下所示,包括s.t部分表示的FW必须满足的硬性条件和Min部分表示的FW可以满足的软性条件。

其中,XFW,Quality表示各款型FW的Quality,表示各款型FW的下行端口类型,表示各款型FW的上行端口速率,表示各款型FW的下行端口数量。表示各款型FW的上行端口速率是否大于或等于10G,若是,则不作为惩罚项;若否,则 作为惩罚项。表示推荐的FW的下行端口总数需要大于或等于AGG数量。在已知第三层设备(即AGG)的各款型和各款型对应的设备数量的情况下,电子设备利用AGG的各款型和各款型对应的设备数量对FW的款型推荐模型进行求解,得到FW的一个或多个推荐款型,以及该一个或多个推荐款型分别对应的设备数量,即求解出XFW。上述10G可以是对各款型FW的上行端口速率的默认要求。可以理解的是,10G也可以是其他数值,例如,5G,或者用户输入的其他数值。
应理解,求解各层设备的款型推荐模型的方法可以是运筹优化中的内点法、外点法、乘子法、启发式方法等。该实现方式中,首先基于覆盖需求、第一层设备的第一设备能力子需求确定第一层设备的推荐款型和各推荐款型对应的设备数量。然后从第一层设备开始,基于下游设备的各款型和各款型对应的数量、上游设备的第二设备能力子需求和该上游设备与下游设备间的匹配需求确定上游设备的推荐款型和各推荐款型对应的设备数量。这样采用层层匹配的方式确定出的各层设备,与其上下游设备间的匹配程度更高,有利于避免上下游设备间出现能力不匹配等问题。
在一种可能的实现方式中,电子设备还可获取可用设备集中各款型设备的用户反馈信息和热门程度信息。根据覆盖需求、设备能力需求、匹配需求、用户反馈信息和热门程度信息,确定组网结构中各层设备的款型和款型对应的数量。其中,可用设备集为数据库中所有可用的各款型设备的集合。也就是说,电子设备在确定各层设备的款型和该款型对应的数量时,除了组网需求,还考虑了各层设备的各款型的用户反馈信息和热门程度信息。因此,在确定出组网结构的情况下,电子设备需要获取该组网结构包括的各种设备的各款型的用户反馈信息和热门程度信息。
在一种可能的实现方式中,对于多个历史组网方案中的每个历史组网方案,获取历史用户对每个历史组网方案中各款型设备的用户反馈评分。对于多个历史组网方案中的任意一个款型的设备,基于任意一个款型的设备在不同历史组网方案中的用户反馈评分,得到任意一个款型的设备的用户反馈信息,多个历史组网方案中的各款型设备包括可用设备集中的各款型设备。
例如,该组网结构包括FW、AGG、ACC和AP这四种设备,则电子设备可以分别获取该四种设备的用户反馈信息。
第一步,获取各款型AP的用户反馈信息。电子设备查询组网详情数据库中表5所示的数据表,可以得到历史用户对如“adkHk”、“6i6XUrk”等多个历史组网方案的用户反馈评分,将每个历史组网方案的用户反馈评分作为该组网方案中各款型设备的用户反馈评分。比如:表5中“adkHk”这个组网方案的用户反馈评分为3,则该组网方案中所有款型的设备的用户反馈评分均为3。基于此,可以得到多个历史组网方案中所有款型的设备的用户反馈评分。比如假设多个历史组网方案中的5个组网方案均包括AP1,则采用AP1的5个用户反馈评分,计算得到该AP1的用户反馈信息。例如,AP1的用户反馈信息可以是5个用户反馈评分的均值、5个用户反馈评分的和、5个用户反馈评分的加权和,等等。
第二步,获取各款型ACC的用户反馈信息。同理,对于任意一个款型的ACC,基于第一步中的方式可以得到任意一个款型的ACC在不同的历史组网方案中的用户反馈评分,采用 任意一个款型的ACC在不同的历史组网方案中的用户反馈评分,可以计算出任意一个款型的ACC的用户反馈信息。
第三步,获取各款型AGG的用户反馈信息。对于任意一个款型的AGG,基于第一步中的方式可以得到任意一个款型的AGG在不同的历史组网方案中的用户反馈评分,采用任意一个款型的AGG在不同的历史组网方案中的用户反馈评分,可以计算出任意一个款型的AGG的用户反馈信息。
第四步,获取各款型FW的用户反馈信息。对于任意一个款型的FW,基于第一步中的方式可以得到任意一个款型的FW在不同的历史组网方案中的用户反馈评分,采用任意一个款型的FW在不同的历史组网方案中的用户反馈评分,可以计算出任意一个款型的FW的用户反馈信息。
该实现方式中,将每个历史组网方案的用户反馈评分作为每个历史组网方案中各款型组网设备的用户反馈评分。对于任意一个款型的设备,基于其在不同历史组网方案中的用户反馈评分计算得到其用户反馈信息。由此便可得到可用设备集中的各款型设备的用户反馈信息,以便于后续基于可用设备集中的各款型设备的用户反馈信息确定各层设备的推荐款型和各款型对应的数量。
在一种可能的实现方式中,对于可用设备集中的任意一种设备,基于设备注册时间筛选出任意一种设备在预设时间段内注册的多个款型。基于多个款型中的各款型在预设时间段内的注册数量,确定多个款型中的各款型的新增频繁程度。基于多个款型中的各款型在预设时间段内的上线次数,确定多个款型中的各款型的使用频繁程度。根据新增频繁程度和使用频繁程度,得到多个款型中各款型的热门程度信息。
下面以任意一种设备为AP进行说明。从可用设备集中筛选出所有AP,基于表1中的注册时间从所有AP中筛选出预设时间段(比如近三个月)内注册的多个款型的AP,并统计每个款型的AP的注册数量。比如:“AirEngine 5760-22W”这款AP近三个月的注册数量为11000个。按照每个款型的AP的注册数量对该多个款型的AP进行排序,得到每个款型的AP的注册数量排名。其中,排序方式可以是从高到低或从低到高,此处不做限定。按照每个款型的AP的注册数量排名为每个款型的AP打分,将该每个款型的AP的注册数量打分确定为其新增频繁程度。如表6给出了各款型AP的新增频繁程度的一种示例:
表6
对于表6中的各款型AP,基于表1中的最后上线时间,统计每个款型的AP在预设时间段(比如近三个月)内上线次数。比如:“AirEngine 5760-22W”这款AP近三个月的上线次数为11000次。按照每个款型的AP的上线次数对该多个款型的AP进行排序,得到每个款型的AP的上线次数排名。其中,排序方式可以是从高到低或从低到高,此处不做限定。按照每个款型的AP的上线次数排名为每个款型的AP打分,将该每个款型的AP的上线次数打分确定为其使用频繁程度。如表7给出了各款型AP的使用频繁程度的一种示例:
表7
对于每个款型的AP,采用表6中其新增频繁程度和表7中其使用频繁程度,计算得到每个款型的AP的热门程度信息。比如,每个款型的AP的热门程度信息可以是其新增频繁程度和使用频繁程度的均值、加权和、加权均值,等等。如表8给出了各款型AP的热门程度信息的一种示例:
表8
应理解,组网结构中FW、AGG、ACC各款型的热门程度信息的获取方式与AP相同,此处不再一一说明。该实现方式中,电子设备结合各款型设备的使用频繁程度和新增频繁程 度确定各款型的热门程度信息,以便于后续基于各款型设备的热门程度信息确定各层设备的推荐款型和各款型对应的数量。
在一种可能的实施方式中,电子设备根据第一层设备的数量、用户反馈信息和热门程度信息、第一设备能力子需求,确定第一层设备的一个或多个款型以及第一层设备的一个或多个款型分别对应的设备数量。根据第一层设备的款型、第一层设备的款型对应的设备数量,第二设备能力子需求、用户反馈信息和热门程度信息,以及不同层设备间的匹配需求,确定其他层设备的一个或多个款型和其他层设备的一个或多个款型对应的设备数量。
例如,在得到各款型的AP的用户反馈信息和热门程度信息的情况下,将各款型的AP的用户反馈信息和热门程度信息作为优化目标,结合AP的数量和第一设备能力子需求,以确定AP的款型和各款型对应的数量。类似地,该确定过程可以基于AP的款型推荐模型实现,该款型推荐模型例如为如下所示,包括s.t部分表示的AP必须满足的硬性条件和Min部分表示的AP可以满足的软性条件。此时,Min部分可以包括针对各款型的AP的用户反馈信息和热门程度信息的优化目标。

s.t.‖(XAP,IoT="Y")·XAP1-"ap_num"=0
‖XAP1-"ap_num"=0
其中,XAP,Prefer表示各款型AP的用户反馈信息,XAP,Prefer·XAP表示各款型AP的用户反馈信息与对应款型AP的数量的乘积之和,XAP,Popular表示各款型AP的热门程度信息,XAP,Popular·XAP表示各款型AP的热门程度信息与各款型AP的数量的乘积之和,w31,w32,…表示各优化目标的预设权重系数。对AP的该款型推荐模型进行求解,同样可得到AP的一个或多个推荐款型,以及该一个或多个推荐款型分别对应的设备数量。
例如,在得到各款型的ACC的用户反馈信息和热门程度信息的情况下,将各款型的ACC的用户反馈信息和热门程度信息作为优化目标,结合ACC的第二设备能力子需求、ACC与AP之间的匹配需求、AP的各款型和各款型对应的设备数量,以确定ACC的款型和各款型对应的数量。类似地,该确定过程可以基于ACC的款型推荐模型实现,该款型推荐模型例如为如下所示,包括s.t部分表示的ACC必须满足的硬性条件和Min部分表示的ACC可以满足的软性条件。此时,Min部分可以包括针对各款型的ACC的用户反馈信息和热门程度信息的优化目标。



||(XACC,Distributed="Y")·XACC||1=0
其中,XACC,Prefer表示各款型ACC的用户反馈信息,XACC,Prefer·XACC表示各款型ACC的用户反馈信息与对应款型ACC的数量的乘积之和,XACC,Popular表示各款型ACC的热门程度信息,XACC,Popular·XACC表示各款型ACC的热门程度信息与对应款型ACC的数量的乘积之和。对ACC的该款型推荐模型进行求解,同样可得到ACC的一个或多个推荐款型,以及该一个或多个推荐款型分别对应的设备数量。
例如,在得到各款型的AGG的用户反馈信息和热门程度信息的情况下,将各款型的AGG 的用户反馈信息和热门程度信息作为优化目标,结合AGG的第二设备能力子需求、AGG与ACC之间的匹配需求、ACC的各款型和各款型对应的设备数量,以确定AGG的款型和各款型对应的数量。类似地,该确定过程可以基于AGG的款型推荐模型实现,该款型推荐模型例如为如下所示,包括s.t部分表示的AGG必须满足的硬性条件和Min部分表示的AGG可以满足的软性条件。此时,Min部分可以包括针对各款型的AGG的用户反馈信息和热门程度信息的优化目标。

其中,XAGG,Prefer表示各款型AGG的用户反馈信息,XAGG,Prefer·XAGG表示各款型AGG的用户反馈信息与对应款型AGG的数量的乘积之和,XAGG,Popular表示各款型AGG的热门程度信息,XAGG,Popular·XAGG表示各款型AGG的热门程度信息与对应款型AGG的数量的乘积之和。对AGG的该款型推荐模型进行求解,同样可得到AGG的一个或多个推荐款型,以及该一个或多个推荐款型分别对应的设备数量。
例如,在得到各款型的FW的用户反馈信息和热门程度信息的情况下,将各款型的FW的用户反馈信息和热门程度信息作为优化目标,结合FW的第二设备能力子需求、FW与AGG之间的匹配需求、AGG的各款型和各款型对应的设备数量,以确定FW的款型和各款型对应的数量。类似地,该确定过程可以基于FW的款型推荐模型实现,该款型推荐模型例如为如下所示,包括s.t部分表示的FW必须满足的硬性条件和Min部分表示的FW可以满足的软性条件。此时,Min部分可以包括针对各款型的FW的用户反馈信息和热门程度信息的优化目标。

其中,XFW,Prefer表示各款型的FW的用户反馈信息,XFW,Prefer·XFW表示各款型FW的用户反馈信息与对应款型FW的数量的乘积之和,XFW,Popular表示各款型的FW的热门程度信息,XFW,Popular·XFW表示各款型FW的热门程度信息与对应款型FW的数量的乘积之和。对FW的该款型推荐模型进行求解,同样可得到AGG的一个或多个推荐款型,以及该一个或多个推荐款型分别对应的设备数量。
该实现方式中,电子设备在设备推荐时,除了考虑了上下游设备间的匹配需求,还考虑了该层设备的用户反馈信息和热门程度信息,从而可以基于热门款型和历史反馈较好的款型优化为用户推荐的设备款型。
204:连接组网结构中相邻两层间的设备,生成组网方案。
对于组网结构中各层设备的推荐款型和推荐数量,电子设备按照设备间的上下游关系将相邻两层间的设备连接,生成包含连接关系的组网拓扑。在一种可选的实现方式中,采用自底向上的连接方式,得到如图4所示的树形结构的组网拓扑。对于包括AP、ACC、AGG和FW的组网结构,如图4所示:
第一步,将AP、有线终端与ACC连接,形成ACC+AP/有线终端组网。比如:某一款型ACC的下行端口数量为20,则将该ACC的下行端口连满后,转而连接下一个ACC,依次进 行,直至所有AP/有线终端连接完毕。
第二步,将ACC与AGG连接,形成AGG+ACC+AP/有线终端组网。
第三步,将AGG与FW连接,形成FW+AGG+ACC+AP/有线终端组网。最终由FW连接到互联网(Internet)。
示例性,若组网需求中AP的需求量为0(即用户不需要AP),且有线终端的数量小于单个FW的下行端口数量,则FW的下行端口为电口的情况下,FW可以直接与有线终端连接。若‖XAGG1=0,则表示用户不需要AGG,FW可以直接与ACC连接。
需要说明的是,图4所示的包括AP、ACC、AGG和FW的组网结构通常应用在零售商超、分支办公等行业/场景中。而在别墅、门店等行业/场景中,设定的组网结构通常为图5所示的4层结构,即包括Internet、路由器(access router,AR)、ACC、AP/有线终端。也就是说,用户的场景需求将决定电子设备获取到的组网结构,而组网结构将决定最终生成的组网方案的规模,以及组网方案中设备的款型等。例如,图4所示的组网结构相对于图5所示的组网结构,其规模更大、结构更复杂,因此,需要更加复杂的网络配置,对设备的性能要求更高。除了组网结构,不同行业/场景在网络业务需求方面也有差异。例如,在零售商超场景中,用户对电子价签、收银、电子秤、手持PDA和摄像头等业务质量要求较高;而在分支办公场景中,用户对有线办公、办公WiFi、前台接待、IoT和摄像头等业务质量要求较高。因此,本申请实施例针对不同行业/场景,能够实现有针对性地推荐设备款型。
可以看出,本申请中,电子设备可以基于场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求,进行组网设备的款项和各款项对应的数量的推荐,然后基于推荐的设备款型和各款项对应的数量生成组网方案。这样可以降低网络开局中设备选型和组网拓扑等工作的人工介入程度,从而提升设备选型和组网拓扑生成的效率,进而提升网络开局的效率。另外,电子设备在组网需求中还考虑了上下游设备间的匹配需求,这有利于避免组网方案中连接的上下游设备出现能力不匹配等问题,能够使上下游设备的协同能力更强,从而有利于提升组网方案的整体性能。用户仅需输入组网需求,即可得到推荐的组网方案,降低了用户进行网络规划的门槛。
请参见图6,图6为本申请实施例提供的另一种组网方法的流程示意图。该组网方法可由电子设备执行。该组网方法包括但不限于如下步骤或操作:
601:获取组网需求,组网需求包括场景需求、覆盖需求、设备能力需求、上下游设备间的匹配需求和校验需求。
其中,校验需求可以是用户输入的,也可以是预先设定的。校验需求包括:款型需求匹配度校验子需求和/或连接关系匹配度校验子需求。例如,款型需求匹配度校验子需求可以是组网方案中的设备是否具备IoT能力、设备的Quality是否与用户要求的Quality相匹配、设备的应用场景是否与用户要求的场景相匹配,等等。连接关系匹配度校验子需求可以是敏捷分布式WiFi的中心AP与远端单元是否匹配、连接的上游设备的PoE供电能力是否满足下游设备的PoE供电需求、连接的上游设备的端口类型、端口速率与下游设备的端口类型、端口速率是否相匹配,等等。
602:根据场景需求,获取组网结构。
603:根据覆盖需求、设备能力需求和匹配需求,确定组网结构中各层设备的款型和款型对应的数量。
604:连接组网结构中相邻两层间的设备,生成组网方案。
其中,步骤602-604的具体实现方式可参照图2所示的实施例中步骤202-204的相关描述,且能达到相同或相似的有益效果。
605:根据校验需求,评估组网方案,并显示评估结果。
示例性的,步骤605可以从款型需求匹配度和连接关系匹配度两个方面对组网方案进行评估:
例如,根据款型需求匹配度校验子需求对组网方案中各设备的款型需求匹配度进行评估,得到组网方案的款型需求匹配度评分。对于款型需求匹配度校验子需求,将其划分为必须满足的项和尽量满足的项,必须满足的项是指组网方案必须满足的需求,若没有满足该需求,网络将不能正常运行。尽量满足的项是指组网方案应尽量满足的需求,满足该需求可以使组网方案的网络运行更好。判断组网方案对每个款型需求匹配度校验子需求的满足情况,对于款型需求匹配度校验子需求中必须满足的项,若组网方案满足,则该项的得分为0。若组网方案不满足,则该项的得分为-wh。基于此,可得到每个款型需求匹配度校验子需求的款型需求匹配度评分。根据每个款型需求匹配度校验子需求的款型需求匹配度评分,计算得到组网方案的款型需求匹配度评分。例如,对每个款型需求匹配度校验子需求的款型需求匹配度评分进行求和、加权求和、求均值,等等。其中,wh可以基于款型需求匹配度校验子需求的重要程度设定。
例如,根据连接关系匹配度校验子需求对组网方案中设备间的连接关系匹配度进行评估,得到组网方案的连接关系匹配度评分。对于连接关系匹配度校验子需求,同样将其划分为必须满足的项和尽量满足的项。判断组网方案中每两个设备间的连线对每个连接关系匹配度校验子需求的满足情况,例如,AP1与ACC1连接是否满足连接的上游设备的PoE供电能力是否满足下游设备的PoE供电需求这一项。对于连接关系匹配度校验子需求中必须满足的项,若组网方案满足,则该项的得分为ws。若组网方案不满足,则该项的得分为0。基于此,可得到每个连接关系匹配度校验子需求的连接关系匹配度评分。根据每个连接关系匹配度校验子需求的连接关系匹配度评分,计算得到组网方案的连接关系匹配度评分。例如,对每个连接关系匹配度校验子需求的连接关系匹配度评分进行求和、加权求和、求均值,等等。其中,ws可以基于连接关系匹配度校验子需求的重要程度设定。
在获取组网方案的款型需求匹配度评分和连接关系匹配度评分后,电子设备还可以根据组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分,获取组网评分。电子设备可以对组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分进行求和、加权求和、求均值等,以获取组网方案的组网评分,并将该组网评分作为评估结果中的一种向用户呈现。
该实现方式中,从款型需求匹配度和连接关系匹配度等方面对组网方案进行评估校验,由款型需求匹配度评分和连接关系匹配度评分计算得到组网评分。该组网评分能够反映出组网方案与用户需求的匹配程度和整体性能。因此,将该组网评分呈现给用户,以便于用户可参考该组网评分确定是否采纳该组网方案。另外,对组网方案进行评估校验,有利于检测出组网方案中可能存在的上下游设备能力不匹配等问题,以便于用户调整之前输入的组网需求,以生成整体性能更高的组网方案。
在一种可能的实现方式中,对于生成的组网方案,电子设备将生成该组网方案的组网ID,并将该组网方案及其组网评分呈现给用户。用户可以参照组网评分决定是否采纳该组网方案,并在人机交互界面进行相应操作。例如,用户点击“采纳”或“不采纳”按钮、输入该组网方案的用户反馈评分。基于用户的操作,电子设备可以生成用户是否采纳该组网方案的采纳 标识。将该采纳标识、用户反馈评分和组网ID关联存储至组网详情数据库。以及,将该组网方案的组网需求和组网方案中的设备款型和各款型对应的设备数量存储至组网详情数据库。
在一种可能的实现方式中,电子设备根据多个目标历史组网方案的多个组网评分和预设评分规则,确定组网方案的组网评分。
电子设备可以将组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分的加权和作为组网方案的候选组网评分。从数据库中的多个历史组网方案中确定出与生成的组网方案属于相同的应用场景的多个目标历史组网方案。例如:生成的组网方案的应用场景为零售商超,则确定出所有应用场景为零售商超的历史组网方案。获取该多个目标历史组网方案中每个目标历史组网方案的组网评分,计算该多个目标历史组网方案的多个组网评分的统计量,例如,平均值、分位数等。如表9给出了预设评分规则的一种示例:
表9
表9中,多个目标历史组网方案的多个组网评分的统计量为分位数,比如:τ99%表示多个目标历史组网方案的多个组网评分的99%分位数、τ90%表示多个目标历史组网方案的多个组网评分的90%分位数。其中,score0表示计算出的组网方案的候选组网评分。表9所示的预设评分规则利用多个目标历史组网方案的多个组网评分的统计量,设定了多个条件。若候选组网评分满足某项条件,则采用该条件对应的组网评分作为组网方案的组网评分,以将组网方案的组网评分归一化至某个预设区间。例如,score0≥τ99%,则取5.0为组网方案的组网评分;τ99%>score0≥τ95%,则取4.5为组网方案的组网评分。表9中,该预设区间为[0,5]。该实现方式中,判断候选组网评分是否满足基于统计量设定的条件,能够反映出该组网方案在相同应用场景的多个目标历史组网方案中的性能水平。基于该性能水平和预设评分规则,电子设备可确定组网方案的组网评分。因此,该组网评分能够直观地反映组网方案在同行业/同应用场景的历史组网方案中的性能水平。
在一种可能的实现方式中,电子设备利用确定出的多个目标历史组网方案分别对应的多个用户反馈评分,还可以确定生成的组网方案的用户满意度评分,并显示组网方案的用户满意度评分。具体的,将每个目标历史组网方案的用户反馈评分作为每个目标历史组网方案中各款型设备的用户反馈评分。例如,表5中“adkHk”这个目标历史组网方案的用户反馈评分为3,则该目标历史组网方案中所有款型的设备的用户反馈评分均为3。假设“adkHk”这个目标历史组网方案中包括AP1,同时,AP1还被应用在另外的9个目标历史组网方案中, 则获取AP1的10个用户反馈评分的统计量,例如,平均值、中位数等。将该统计量作为AP1的用户满意度评分。由此,可以得到多个目标历史组网方案中每个款型的设备的用户满意度评分。若组网方案中包括AP1、ACC1、ACC2、AGG1、FW2等款型的设备,则采用这些设备的用户满意度评分计算得到组网方案的用户满意度评分。例如,对这些设备的用户满意度评分进行求均值、加权求和,等等。该实现方式中,用户满意度评分可以作为历史用户对组网方案中各款型设备的口碑。将组网方案的用户满意度评分呈现给用户,则组网方案的用户满意度评分可作为组网评分以外的另一项参考指标,帮助用户决定是否采纳该组网方案。
在一种可能的实现方式中,电子设备还可以将组网方案中每个款型的设备的款型需求匹配度评分和组网方案中每两个设备间连线对应的连接关系匹配度评分作为评估结果进行显示。例如,显示设备是否具备IoT能力等每个款型需求匹配度校验子需求及其对应的得分、显示连接的上游设备的PoE供电能力是否满足下游设备的PoE供电需求等每个连接关系匹配度校验子需求及其对应的得分。
在一种可能的实现方式中,可以为每个款型需求匹配度校验子需求、每个连接关系匹配度校验子需求设置等级,该等级可以表示每个款型的设备的款型需求匹配度校验子需求和每两个设备间连接关系匹配度校验子需求的重要程度(或者表示用户对每个款型的设备的款型需求匹配度校验子需求和每两个设备间连接关系匹配度校验子需求的关注程度)。电子设备可以按照该等级显示每个款型需求匹配度校验子需求及其对应的款型需求匹配度评分、每个连接关系匹配度校验子需求及其对应的连接关系匹配度评分,从而有利于用户直观地看出该组网方案满足较差的校验子需求,进而有利于触发用户调整其组网需求。
例如,电子设备可以按照该等级从高到低的排序方式显示每个款型需求匹配度校验子需求及其对应的款型需求匹配度评分、每个连接关系匹配度校验子需求及其对应的连接关系匹配度评分。
在一种可能的实现方式中,每个款型的设备的款型需求匹配度评分和/或每两个设备间连线对应的连接关系匹配度评分中包括小于预设分值的评分项。例如,可以为每个款型的设备的款型需求匹配度评分和每两个设备间连线对应的连接关系匹配度评分添加预设分值。电子设备在显示每个款型需求匹配度校验子需求及其对应的款型需求匹配度评分、每个连接关系匹配度校验子需求及其对应的连接关系匹配度评分时,可以对小于预设分值的评分项进行标识。比如:连接的上游设备的PoE供电能力是否满足下游设备的PoE供电需求这一项的连接关系匹配度评分为3.5,小于预设分值5,则可对该项进行高亮显示。这使得用户可以直观的获得匹配度低的需求项,继而用户基于小于预设分值的评分项可以对之前输入的需求信息进行调整。例如,在之前输入的需求信息的基础上,加上AP的PoE供电速度需求,等等。电子设备可以接收用户输入的新的组网需求,并根据新的组网需求,重新生成组网方案。应理解,供电速度的小于预设分值的评分项示出了组网方案满足较差的校验子需求,因此,显示小于预设分值的评分项可以触发用户调整其之前输入的需求信息,以促使电子设备重新生成的组网方案能够更好地满足小于预设分值的评分项。
以下提供一种零售商超场景的组网推荐示例:
(1)获取用户输入的零售商超组网需求。请参见图7A,图7A为本申请实施例提供的一种组网需求输入界面的示意图。如图7A所示,该零售商超组网需求可以包括有线终端的数量(比如:100个)、总面积(比如:3000平方米)、客流量(比如:1000人次/天)、品质等级(比如:高、中、低)及零售商超所需要的网络业务。比如该网络业务可以是:有线办 公、办公WiFi、访客WiFi、电子价签、收银、电子秤、手持PDA、摄像头。其中,场景需求可以基于图7A中基本信息下的超市名称确定。
(2)确定零售商超场景对应的组网结构。示例性的,该组网结构可以是图4中所示的包括AP、ACC、AGG和FW四层设备的结构。
(3)读取零售商超组网需求,将零售商超组网需求代码化,并基于代码化后的零售商超组网需求和预设的上下游设备间的匹配需求构建零售商超组网的输入条件。请参见图7B,图7B为本申请实施例提供的一种零售商超组网代码化后的示意图。图7B中:’Scene’:’Supermarket’表示用户网络的应用场景为零售商超,’Quality’:’High’表示用户要求的设备品质等级为高,’Wired terminal’:100表示有线终端端子为100,’Total area’:3000表示总面积为3000平方米,’Passenger flow’:1000表示客流量为每天1000人次,’Wired office’:’Y’表示需要有线办公业务,’Visitor WiFi’:’Y’表示需要办公WiFi业务,’Visitor WiFi’:’Y’表示需要访客WiFi业务,’Electronic price tag’:’Y’表示需要电子价签业务,’Handheld PDA’:’Y’表示需要手持PDA业务,’Camera’:’Y’表示需要摄像头业务,’Electronic scale’:’Y’表示需要电子秤业务,’Cashier’:’Y’表示需要收银业务。利用代码化后的零售商超组网需求、上下游设备间的匹配需求构建输入条件。如图7C给出了输入条件的部分示例,图7C中:’wired_num’:100表示用户要求的有线终端数量为100,’ap_num’:100表示用户要求的AP数量为100,’IoT’:’Y’表示用户需要设备具有物联网功能,’Video_monitor’:’Y’表示用户需要设备具有视频监控功能,’Distributed’:’N’表示用户不需要敏捷分布式WiFi,’Plate’:’N’表示用户不需要面板AP。其中,输入条件包括各层设备的硬性条件和软性条件。
(4)获取AP、ACC、AGG和FW四种设备的各款型的用户反馈信息和热门程度信息。利用各层设备的软性条件、硬性条件、用户反馈信息和热门程度信息,构建各层设备的款型推荐模型。对各层设备的款型推荐模型进行求解,得到各层设备的一个或多个推荐款型和各推荐款型对应的设备数量。
(5)按照设备间的上下游关系将相邻两层间的设备连接,生成零售商超组网拓扑。请参见图8,图8为本申请实施例提供的一种零售商超组网拓扑的示意图。图8中包括零售商超场景对应的组网结构中的四种设备、推荐的每种设备的款型和该款型对应的设备数量及有线终端。例如,FW的款型/编号、AGG的款型/编号、ACC的款型/编号和AP的款型编号。
(6)按照预设的校验需求对零售商超组网拓扑进行评估,得到该零售商超组网拓扑的组网评分。例如,从款型需求匹配度和连接关系匹配度两个方面对零售商超组网拓扑进行校验,得到该拓扑的组网评分为3.5分。
(7)向用户呈现零售商超组网拓扑,并显示步骤(6)中的评估结果。其中,该评估结果包括组网评分和每个评估项的得分。例如,电子设备可将零售商超组网拓扑、该组网拓扑的组网评分、每个评估项及其得分显示在人机交互界面,用户可参照该组网评分决定是否采纳该零售商超组网拓扑。例如,用户可点击人机交互界面上的“采纳”或“不采纳”按钮,并输入该零售商超组网拓扑的用户反馈评分。同时,用户根据人机交互界面上显示的每个评估项及其得分可以直观地看出零售商超组网拓扑未满足的评估项。例如,用户要求AP的Quality为High,而零售商超组网拓扑中AP的Quality为Middle,则“组网拓扑中AP的Quality是否满足用户要求的Quality”这一评分项的得分低于该评分项的预设分值,例如,该预设分值为5,而该评分项的得分为0。在该情况下,用户可输入新的零售商超组网需求,例如,对步骤(1)中的零售商超组网需求中AP的Quality进行调整。电子设备基于新的零售商超组网需求,重新生成零售商超组网拓扑,并对新的零售商超组网拓扑进行评估和显示。若新的 组网拓扑满足用户的要求,用户可以采纳该组网方案,根据该组网方案采购/使用相关的设备,并根据组网方案连接相关的设备以完成用户的网络开局。该方案可以基于用户的组网需求自动的为用户生成组网方案,极大地减少了网络开局中的人力投入,提升了网络开局的效率。而且,该方案还依据设备间的匹配需求生成组网方案,避免了上下游设备间能力不匹配的问题,进一步提升了网络的性能。
以上详细阐述了本申请实施例的方法,下面提供了本申请实施例的装置。
请参见图9,图9为本申请实施例提供的一种组网装置900的结构示意图。该装置900具有实现上述图2或图6所示的组网方法的功能。所述功能可以通过硬件实现,也可以通过硬件执行相应的软件实现。所述硬件或软件包括一个或多个与上述功能相对应的模块。
在一种可能的实现方式中,该装置900包括获取单元901和处理单元902。获取单元901,用于获取组网需求,组网需求包括场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求。处理单元902,用于根据场景需求,获取组网结构。处理单元902,还用于根据覆盖需求、设备能力需求和匹配需求,确定组网结构中各层设备的款型和款型对应的数量。处理单元902,还用于连接组网结构中相邻两层间的设备,生成组网方案。
在一种可能的实现方式中,设备能力需求包括:第一设备能力子需求和第二设备能力子需求。第一设备能力子需求指示组网结构中的第一层设备的能力需求。第二设备能力子需求指示组网结构中除第一层设备外的其他层设备的能力需求。处理单元902具体用于:根据覆盖需求和第一设备能力子需求确定第一层设备的款型,以及第一层设备的款型对应的设备数量,并根据第一层设备的款型、第一层设备的款型对应的设备数量、第二设备能力子需求和匹配需求确定其他层设备的款型和其他层设备的款型对应的设备数量。
在一种可能的实现方式中,处理单元902具体用于:根据覆盖需求确定第一层设备的数量,并根据第一层设备的数量和第一设备能力子需求确定第一层设备的一个或多个款型,以及第一层设备的一个或多个款型分别对应的设备数量。
在一种可能的实现方式中,处理单元902具体用于:获取可用设备集中各款型设备的用户反馈信息和热门程度信息,并根据覆盖需求、设备能力需求、匹配需求、用户反馈信息和热门程度信息,确定组网结构中各层设备的款型和款型对应的数量。
在一种可能的实现方式中,处理单元902具体用于:根据第一层设备的数量、第一设备能力子需求、用户反馈信息和热门程度,确定第一层设备的一个或多个款型以及第一层设备的一个或多个款型分别对应的设备数量,并根据第一层设备的款型、第一层设备的款型对应的设备数量、第二设备能力子需求、匹配需求、用户反馈信息和热门程度信息,确定其他层设备的一个或多个款型和其他层设备的一个或多个款型对应的设备数量。
在一种可能的实现方式中,处理单元902具体用于:对于多个历史组网方案中的每个历史组网方案,获取历史用户对每个历史组网方案中各款型设备的用户反馈评分,以及对于多个历史组网方案中的任意一个款型的设备,基于任意一个款型的设备在不同历史组网方案中的用户反馈评分,得到任意一个款型的设备的用户反馈信息,多个历史组网方案中的各款型设备包括可用设备集中的各款型设备。
在一种可能的实现方式中,处理单元902具体用于:对于可用设备集中的任意一种设备,基于设备注册时间筛选出任意一种设备在预设时间段内注册的多个款型,并基于多个款型中的各款型在预设时间段内的注册数量,确定多个款型中的各款型的新增频繁程度,以及基于多个款型中的各款型在预设时间段内的上线次数,确定多个款型中的各款型的使用频繁程度, 以及根据新增频繁程度和使用频繁程度,得到多个款型中各款型的热门程度。
在一种可能的实现方式中,组网需求还包括:校验需求。处理单元902还用于:根据校验需求评估组网方案,并显示评估结果。
在一种可能的实现方式中,校验需求包括:款型需求匹配度校验子需求和连接关系匹配度校验子需求。评估结果包括组网方案的组网评分。处理单元902具体用于:根据款型需求匹配度校验子需求对组网方案中各设备的款型需求匹配度进行评估,得到组网方案的款型需求匹配度评分,并根据连接关系匹配度校验子需求对组网方案中设备间的连接关系匹配度进行评估,得到组网方案的连接关系匹配度评分,以及根据组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分,得到组网评分。
在一种可能的实现方式中,评估结果还包括:组网方案中每个款型的设备的款型需求匹配度评分和组网方案中每两个设备间连线对应的连接关系匹配度评分。
在一种可能的实现方式中,每个款型的设备的款型需求匹配度评分和/或所述每两个设备间连线对应的连接关系匹配度评分中包括小于预设分值的评分项。处理单元902还用于:接收新的组网需求,并根据新的组网需求,重新生成组网方案。其中,新的组网需求是根据小于预设分值的评分项调整的组网需求。
在一种可能的实现方式中,处理单元902还用于:从多个历史组网方案中确定出多个目标历史组网方案,多个目标历史组网方案的应用场景与组网方案的应用场景相同,并根据历史用户对多个目标历史组网方案的用户反馈评分,确定多个目标历史组网方案中各款型设备的用户反馈评分,以及获取多个目标历史组网方案中各款型设备的用户反馈评分的统计量,多个目标历史组网方案中的各款型设备包括组网方案中的各款型设备,以及根据统计量,确定组网方案中各款型设备的用户满意度评分,以及根据组网方案中各款型设备的用户满意度评分,得到组网方案的用户满意度评分,并显示组网方案的用户满意度评分。
在一种可能的实现方式中,处理单元902具体用于:根据组网方案的款型需求匹配度评分和组网方案的连接关系匹配度评分,得到组网方案的候选组网评分,并获取多个目标历史组网方案的多个组网评分的统计量,并基于预设评分规则,根据候选组网评分和该统计量确定组网评分。
在一种可能的实现方式中,处理单元902还用于:生成组网方案的唯一标识和用户对组网方案的采纳标识,并获取用户对组网方案的用户反馈评分,以及将唯一标识、用户对组网方案的采纳标识和用户反馈评分关联存储。
需要说明的是,图9所描述的组网装置900的各个单元的实现还可以对应参照图2至图6所示的实施例的相应描述。并且,图9所描述的组网装置900带来的有益效果可以参照图2至图6所示的实施例的相应描述,此处不再重复描述。
请参见图10,图10为本申请实施例提供的一种电子设备1000的结构示意图。该电子设备1000包括处理器1001、存储器1002和通信接口1003,处理器1001、存储器1002和通信接口1003通过总线1004相互连接。
存储器1002包括但不限于是随机存储记忆体(random access memory,RAM)、只读存储器(read-only memory,ROM)、可擦除可编程只读存储器(erasable programmable read only memory,EPROM)、或便携式只读存储器(compact disc read-only memory,CD-ROM),该存储器1002用于存储相关计算机程序及数据。通信接口1003用于接收和发送数据。
处理器1001可以是一个或多个中央处理器(central processing unit,CPU),在处理器1001 是一个CPU的情况下,该CPU可以是单核CPU,也可以是多核CPU。
该电子设备可以为计算机、虚拟机、服务器、云端设备等。该电子设备1000中的处理器1001用于读取上述存储器1002中存储的计算机程序代码,执行图2至图6所示的任意一个实施例的方法。
需要说明的是,图10所描述的电子设备1000的各个操作的实现还可以对应参照图2至图6所示的实施例的相应描述。并且,图10所描述的电子设备1000带来的有益效果可以参照图2至图6所示的实施例的相应描述,此处不再重复描述。
本申请实施例还提供一种芯片,包括:处理器,用于从存储器中调用并运行计算机程序,使得安装有上述芯片的设备执行如图2至图6所示的任意一个实施例的方法。
本申请实施例还提供一种计算机可读存储介质,上述计算机可读存储介质中存储有用于设备执行的程序和指令,当其在电子设备上运行时,图2至图6所示的方法流程得以实现。
本申请实施例还提供一种计算机程序产品,包括计算机程序,当计算机程序被电子设备运行时,图2至图6所示的方法流程得以实现。
应理解,本申请实施例中提及的处理器可以是中央处理单元(Central Processing Unit,CPU),还可以是其他通用处理器、数字信号处理器(Digital Signal Processor,DSP)、专用集成电路(Application Specific Integrated Circuit,ASIC)、现成可编程门阵列(Field Programmable Gate Array,FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
还应理解,本申请实施例中提及的存储器可以是易失性存储器或非易失性存储器,或可包括易失性和非易失性存储器两者。其中,非易失性存储器可以是只读存储器(Read-Only Memory,ROM)、可编程只读存储器(Programmable ROM,PROM)、可擦除可编程只读存储器(Erasable PROM,EPROM)、电可擦除可编程只读存储器(Electrically EPROM,EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory,RAM),其用作外部高速缓存。通过示例性但不是限制性说明,许多形式的RAM可用,例如静态随机存取存储器(Static RAM,SRAM)、动态随机存取存储器(Dynamic RAM,DRAM)、同步动态随机存取存储器(Synchronous DRAM,SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM,DDR SDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM,ESDRAM)、同步连接动态随机存取存储器(Synchlink DRAM,SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM,DR RAM)。
需要说明的是,当处理器为通用处理器、DSP、ASIC、FPGA或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件时,存储器(存储模块)集成在处理器中。
应注意,本文描述的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
应理解,在本申请的各种实施例中,上述各过程的序号的大小并不意味着执行顺序的先后,各过程的执行顺序应以其功能和内在逻辑确定,而不应对本申请实施例的实施过程构成任何限定。
在本申请所提供的几个实施例中,应该理解到,所揭露的系统、装置和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性,机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外,在本申请各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。
本申请中,“至少一个”是指一个或者多个,“多个”是指两个或两个以上。“和/或”,描述关联对象的关联关系,表示可以存在三种关系,例如,A和/或B,可以表示:单独存在A,同时存在A和B,单独存在B的情况,其中A,B可以是单数或者复数。在本申请的文字描述中,字符“/”,一般表示前后关联对象是一种“或”的关系。
本申请实施例方法中的步骤可以根据实际需要进行顺序调整、合并和删减。
本申请实施例装置中的模块可以根据实际需要进行合并、划分和删减。
以上所述,以上实施例仅用以说明本申请的技术方案,而非对其限制;尽管参照前述实施例对本申请进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本申请各实施例技术方案的范围。

Claims (24)

  1. 一种组网方法,其特征在于,所述方法包括:
    获取组网需求,所述组网需求包括场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求;
    根据所述场景需求,获取组网结构;
    根据所述覆盖需求、所述设备能力需求和所述匹配需求,确定所述组网结构中各层设备的款型和所述款型对应的数量;
    连接所述组网结构中相邻两层间的设备,生成组网方案。
  2. 根据权利要求1所述的方法,其特征在于,所述设备能力需求包括第一设备能力子需求和第二设备能力子需求,所述第一设备能力子需求指示所述组网结构中的第一层设备的能力需求,所述第二设备能力子需求指示所述组网结构中除第一层设备外的其他层设备的能力需求,所述根据所述覆盖需求、所述设备能力需求和所述匹配需求,确定所述组网结构中各层设备的款型和所述款型对应的数量,包括:
    根据所述覆盖需求和所述第一设备能力子需求确定所述第一层设备的款型,以及所述第一层设备的款型对应的设备数量;
    根据所述第一层设备的款型、所述第一层设备的款型对应的设备数量、所述第二设备能力子需求和所述匹配需求确定所述其他层设备的款型和所述其他层设备的款型对应的设备数量。
  3. 根据权利要求2所述的方法,其特征在于,所述根据所述覆盖需求和所述第一设备能力子需求确定所述第一层设备的款型,以及所述第一层设备的款型对应的设备数量,包括:
    根据所述覆盖需求确定所述第一层设备的数量;
    根据所述第一层设备的数量和所述第一设备能力子需求确定所述第一层设备的一个或多个款型,以及所述第一层设备的一个或多个款型分别对应的设备数量。
  4. 根据权利要求1至3任一项所述的方法,其特征在于,所述根据所述覆盖需求、所述设备能力需求和所述匹配需求,确定所述组网结构中各层设备的款型和所述款型对应的数量,包括:
    获取可用设备集中各款型设备的用户反馈信息和热门程度信息;
    根据所述覆盖需求、所述设备能力需求、所述匹配需求、所述用户反馈信息和所述热门程度信息,确定所述组网结构中各层设备的款型和所述款型对应的数量。
  5. 根据权利要求4所述的方法,其特征在于,所述根据所述覆盖需求、所述设备能力需求、所述匹配需求、所述用户反馈信息和所述热门程度信息,确定所述组网结构中各层设备的款型和所述款型对应的数量,包括:
    根据所述第一层设备的数量、所述第一设备能力子需求、所述用户反馈信息和所述热门程度,确定所述第一层设备的一个或多个款型以及所述第一层设备的一个或多个款型分别对应的设备数量;
    根据所述第一层设备的款型、所述第一层设备的款型对应的设备数量、所述第二设备能力子需求、所述匹配需求、所述用户反馈信息和所述热门程度信息,确定所述其他层设备的一个或多个款型和所述其他层设备的一个或多个款型对应的设备数量。
  6. 根据权利要求4或5所述的方法,其特征在于,所述获取可用设备集中各款型设备的用户反馈信息,包括:
    对于多个历史组网方案中的每个历史组网方案,获取历史用户对所述每个历史组网方案中各款型设备的用户反馈评分;
    对于所述多个历史组网方案中的任意一个款型的设备,基于所述任意一个款型的设备在不同历史组网方案中的用户反馈评分,得到所述任意一个款型的设备的用户反馈信息,所述多个历史组网方案中的各款型设备包括所述可用设备集中的各款型设备。
  7. 根据权利要求4至6任一项所述的方法,其特征在于,所述获取可用设备集中各款型设备的热门程度信息,包括:
    对于所述可用设备集中的任意一种设备,基于设备注册时间筛选出所述任意一种设备在预设时间段内注册的多个款型;
    基于所述多个款型中的各款型在预设时间段内的注册数量,确定所述多个款型中的各款型的新增频繁程度;
    基于所述多个款型中的各款型在预设时间段内的上线次数,确定所述多个款型中的各款型的使用频繁程度;
    根据所述新增频繁程度和所述使用频繁程度,得到所述多个款型中各款型的所述热门程度信息。
  8. 根据权利要求1至7任一项所述的方法,其特征在于,所述组网需求还包括校验需求,所述方法还包括:
    根据所述校验需求评估所述组网方案,并显示评估结果。
  9. 根据权利要求8所述的方法,其特征在于,所述校验需求包括款型需求匹配度校验子需求和连接关系匹配度校验子需求,所述评估结果包括所述组网方案的组网评分,所述根据所述校验需求,评估所述组网方案,包括:
    根据所述款型需求匹配度校验子需求对所述组网方案中各设备的款型需求匹配度进行评估,得到所述组网方案的款型需求匹配度评分;
    根据所述连接关系匹配度校验子需求对所述组网方案中设备间的连接关系匹配度进行评估,得到所述组网方案的连接关系匹配度评分;
    根据所述组网方案的款型需求匹配度评分和所述组网方案的连接关系匹配度评分,得到所述组网评分。
  10. 根据权利要求9所述的方法,其特征在于,所述评估结果还包括所述组网方案中每个款型的设备的款型需求匹配度评分和所述组网方案中每两个设备间连线对应的连接关系匹配度评分。
  11. 根据权利要求10所述的方法,其特征在于,所述每个款型的设备的款型需求匹配度评分和/或所述每两个设备间连线对应的连接关系匹配度评分中包括小于预设分值的评分项,所述方法还包括:
    接收新的组网需求,所述新的组网需求是根据所述小于预设分值的评分项调整的组网需求;
    根据所述新的组网需求,重新生成组网方案。
  12. 一种组网装置,其特征在于,所述装置包括获取单元和处理单元;
    所述获取单元,用于获取组网需求,所述组网需求包括场景需求、覆盖需求、设备能力需求和上下游设备间的匹配需求;
    所述处理单元,用于根据所述场景需求,获取组网结构;
    所述处理单元,还用于根据所述覆盖需求、所述设备能力需求和所述匹配需求,确定所述组网结构中各层设备的款型和所述款型对应的数量;
    所述处理单元,还用于连接所述组网结构中相邻两层间的设备,生成组网方案。
  13. 根据权利要求12所述的装置,其特征在于,所述设备能力需求包括第一设备能力子需求和第二设备能力子需求,所述第一设备能力子需求指示所述组网结构中的第一层设备的能力需求,所述第二设备能力子需求指示所述组网结构中除第一层设备外的其他层设备的能力需求,所述处理单元具体用于:
    根据所述覆盖需求和所述第一设备能力子需求确定所述第一层设备的款型,以及所述第一层设备的款型对应的设备数量;
    根据所述第一层设备的款型、所述第一层设备的款型对应的设备数量、所述第二设备能力子需求和所述匹配需求确定所述其他层设备的款型和所述其他层设备的款型对应的设备数量。
  14. 根据权利要求13所述的装置,其特征在于,所述处理单元具体用于:
    根据所述覆盖需求确定所述第一层设备的数量;
    根据所述第一层设备的数量和所述第一设备能力子需求确定所述第一层设备的一个或多个款型,以及所述第一层设备的一个或多个款型分别对应的设备数量。
  15. 根据权利要求12至14任一项所述的装置,其特征在于,所述处理单元具体用于:
    获取可用设备集中各款型设备的用户反馈信息和热门程度信息;
    根据所述覆盖需求、所述设备能力需求、所述匹配需求、所述用户反馈信息和所述热门程度信息,确定所述组网结构中各层设备的款型和所述款型对应的数量。
  16. 根据权利要求15所述的装置,其特征在于,所述处理单元具体用于:
    根据所述第一层设备的数量、所述第一设备能力子需求、所述用户反馈信息和所述热门程度,确定所述第一层设备的一个或多个款型以及所述第一层设备的一个或多个款型分别对应的设备数量;
    根据所述第一层设备的款型、所述第一层设备的款型对应的设备数量、所述第二设备能力子需求、所述匹配需求、所述用户反馈信息和所述热门程度信息,确定所述其他层设备的 一个或多个款型和所述其他层设备的一个或多个款型对应的设备数量。
  17. 根据权利要求15或16所述的装置,其特征在于,所述处理单元具体用于:
    对于多个历史组网方案中的每个历史组网方案,获取历史用户对所述每个历史组网方案中各款型设备的用户反馈评分;
    对于所述多个历史组网方案中的任意一个款型的设备,基于所述任意一个款型的设备在不同历史组网方案中的用户反馈评分,得到所述任意一个款型的设备的用户反馈信息,所述多个历史组网方案中的各款型设备包括所述可用设备集中的各款型设备。
  18. 根据权利要求12至17任一项所述的装置,其特征在于,所述组网需求还包括校验需求,所述处理单元还用于:
    根据所述校验需求评估所述组网方案,并显示评估结果。
  19. 根据权利要求18所述的装置,其特征在于,所述校验需求包括款型需求匹配度校验子需求和连接关系匹配度校验子需求,所述评估结果包括所述组网方案的组网评分,所述处理单元具体用于:
    根据所述款型需求匹配度校验子需求对所述组网方案中各设备的款型需求匹配度进行评估,得到所述组网方案的款型需求匹配度评分;
    根据所述连接关系匹配度校验子需求对所述组网方案中设备间的连接关系匹配度进行评估,得到所述组网方案的连接关系匹配度评分;
    根据所述组网方案的款型需求匹配度评分和所述组网方案的连接关系匹配度评分,得到所述组网评分。
  20. 根据权利要求19所述的装置,其特征在于,所述评估结果还包括所述组网方案中每个款型的设备的款型需求匹配度评分和所述组网方案中每两个设备间连线对应的连接关系匹配度评分。
  21. 根据权利要求20所述的装置,其特征在于,所述每个款型的设备的款型需求匹配度评分和/或所述每两个设备间连线对应的连接关系匹配度评分中包括小于预设分值的评分项,所述处理单元还用于:
    接收新的组网需求,所述新的组网需求是根据所述小于预设分值的评分项调整的组网需求;
    根据所述新的组网需求,重新生成组网方案。
  22. 一种电子设备,其特征在于,包括处理器和存储器;
    所述存储器,用于存储计算机程序;
    所述处理器,用于执行所述存储器中存储的计算机程序,以使得所述电子设备执行如权利要求1-11中任一项所述的方法。
  23. 一种计算机可读存储介质,其特征在于,包括程序和指令,当所述程序或指令在处理器上运行时,如权利要求1-11中任一项所述的方法被执行。
  24. 一种计算机程序产品,其特征在于,包括计算机程序,所述计算机程序被电子设备运行时,使得所述电子设备执行如权利要求1-11中任一项所述的方法。
PCT/CN2023/092748 2022-05-11 2023-05-08 一种组网方法、组网装置、电子设备及存储介质 WO2023217080A1 (zh)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140141788A1 (en) * 2012-11-20 2014-05-22 At&T Intellectual Property I, L.P. Metro cell planning
CN110875861A (zh) * 2018-08-29 2020-03-10 中移(杭州)信息技术有限公司 家庭网络智能组网方法、装置和存储介质
CN111917591A (zh) * 2020-08-11 2020-11-10 深圳市欧瑞博科技股份有限公司 智能设备组网方案生成方法、装置及电子设备
CN113453238A (zh) * 2021-06-03 2021-09-28 中国联合网络通信集团有限公司 5g专网的配置方法及装置

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140141788A1 (en) * 2012-11-20 2014-05-22 At&T Intellectual Property I, L.P. Metro cell planning
CN110875861A (zh) * 2018-08-29 2020-03-10 中移(杭州)信息技术有限公司 家庭网络智能组网方法、装置和存储介质
CN111917591A (zh) * 2020-08-11 2020-11-10 深圳市欧瑞博科技股份有限公司 智能设备组网方案生成方法、装置及电子设备
CN113453238A (zh) * 2021-06-03 2021-09-28 中国联合网络通信集团有限公司 5g专网的配置方法及装置

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