A 5G network green energy routing optimization method and system and a storage medium

Abstract

The present application relates to the technical field of 5G network communication, and discloses a 5G network green energy routing optimization method and system and a storage medium, wherein the present application generates an initial routing strategy by combining the first energy state data of each green energy node and feeds back to the user end, can guide the data transmission to preferentially select the green energy node path with sufficient energy and high efficiency, thereby improving the utilization rate of green energy in the whole 5G network data transmission. Further, the intelligent scheduling of task transmission data in combination with the green energy path preference data sent by the user end can more effectively utilize the green energy nodes in the 5G network, reduce the dependence on traditional energy during peak hours, and enhance the user's sense of control and participation in the use of green energy. Finally, the task scheduling result and environmental protection benefit data are sent to the user end, which can enhance the user's participation and long-term motivation, and further stimulate the user's willingness to continuously use green energy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of 5G network communication, in particular to a 5G network green energy routing optimization method and system and a storage medium. BACKGROUND

[0002] At present, with the increasing emphasis on environmental protection and sustainable development worldwide, the use of green energy is rapidly promoted in various fields. However, the traffic routing method in the current communication network is still mainly based on the requirements of network performance and user service quality, and the use of green energy has not been fully utilized. 5G network introduces the consideration of green energy in its design, especially through traffic scheduling and optimized routing to reduce the dependence on traditional non-renewable energy and improve the use efficiency of green energy. However, how to further encourage users to actively participate in the use of green energy and give timely feedback is an important link to achieve the goal of sustainable development.

[0003] The prior art usually only focuses on the optimization of network performance and the improvement of service quality, and less considers the sustainability of energy use and the subjective initiative of users in energy selection. In the 5G era, the network not only can provide users with extremely high transmission speed and ultra-low latency, but also has more intelligent and dynamic energy management capabilities. SUMMARY

[0004] Therefore, the present application provides a 5G network green energy routing optimization method and system and a storage medium to solve the problem that the prior art usually only focuses on the optimization of network performance and the improvement of service quality, and less considers the sustainability of energy use and the subjective initiative of users in energy selection.

[0005] In a first aspect, the present application provides a 5G network green energy routing optimization method for a 5G core network system, the 5G core network system being connected with a user end, the 5G core network system comprising a session management function module, a network storage function module and a policy control function module, the session management function module being connected with the network storage function module and the policy control function module respectively; the method comprising:

[0006] When the session management function module receives the green energy use instruction sent by the user terminal, the first energy state data of each green energy node in the 5G network is obtained through the network storage function module; based on the first energy state data of each green energy node, the initial routing strategy is generated by using the policy control function module, and the initial routing strategy is sent to the user terminal; when the network storage function module receives the green energy path preference data and the task transmission data sent by the user terminal, based on the green energy path preference data, the network storage function module and the policy control function module are used to intelligently schedule the task transmission data to obtain the task scheduling result and the environmental protection benefit data, and the green energy path preference data is determined according to the initial routing strategy; the task scheduling result and the environmental protection benefit data are sent to the user terminal.

[0007] The 5G network green energy routing optimization method provided by the application can obtain the first energy state data of each green energy node in the 5G network through the network storage function module, and can realize real-time understanding of the supply of green energy. Further, the initial routing strategy is generated in combination with the first energy state data of each green energy node and is fed back to the user terminal, which can guide the data transmission to preferentially select the green energy node path with sufficient and efficient energy, thereby improving the utilization rate of green energy in the entire 5G network data transmission and optimizing the network energy structure. Further, the task transmission data is intelligently scheduled in combination with the green energy path preference data sent by the user terminal, which can more effectively utilize the green energy nodes in the 5G network, reduce the dependence on traditional energy during peak period, at the same time, meet the personalized demand of users for green energy use path, so that users can participate in the application process of green energy in the network according to their own will, enhance the sense of control and participation of users in the use of green energy. Finally, the task scheduling result and the environmental protection benefit data are sent to the user terminal, so that the user can timely understand the completion condition of the data transmission task based on the green energy path and the environmental protection benefit generated, enhance the participation and long-term motivation of the user, and further stimulate the willingness of the user to continuously use green energy. Therefore, by implementing the application, through the user incentive and feedback mechanism, in combination with intelligent scheduling and node priority management, the user can not only obtain actual incentive, but also enhance the awareness and pride through environmental feedback and achievement display, greatly improve the utilization rate of green energy, and promote the optimization of green energy in the 5G network.

[0008] In an optional implementation, based on the first energy state data of each green energy node, the initial routing strategy is generated by using the policy control function module, and the initial routing strategy is sent to the user terminal, including:

[0009] Based on the first energy state data of each green energy node, the strategy control function module is used to evaluate each green energy path in the 5G network to obtain a plurality of evaluation results; an initial routing strategy is generated based on the plurality of evaluation results; and the initial routing strategy is sent to the user end.

[0010] The 5G network green energy routing optimization method provided by the application uses the first energy state data of each green energy node to evaluate each green energy path in the 5G network, which can comprehensively consider the actual energy status of the green energy nodes involved in each path, and realize comprehensive and accurate evaluation of the green energy path. Further, the initial routing strategy is generated based on a plurality of evaluation results, which can formulate personalized routing strategies in accordance with the actual situation of different paths, which meet the current network energy layout and user demand, so that the routing selection is more in line with the actual supply of green energy and the network transmission demand, and the pertinence and effectiveness of the routing strategy are improved. Finally, by sending the initial routing strategy to the user end, the user can effectively be guided to preferentially select those green energy paths that are more advantageous in energy utilization, promote the wide application of green energy in the 5G network, and improve the enthusiasm and initiative of the user to participate in the green energy network transmission.

[0011] In an optional implementation, when the network storage function module receives the green energy path preference data and the task transmission data sent by the user end, based on the green energy path preference data, the network storage function module and the strategy control function module are used to intelligently schedule the task transmission data to obtain task scheduling results and environmental protection benefit data, including:

[0012] When the network storage function module receives the green energy path preference data and the task transmission data sent by the user end, the second energy state data of each green energy node in the 5G network is obtained; based on the green energy path preference data and the second energy state data of each green energy node, the network storage function module and the strategy control function module are used to intelligently schedule the task transmission data to obtain task scheduling results and environmental protection benefit data.

[0013] The 5G network green energy routing optimization method provided by the application combines green energy path preference data and second energy state data of each green energy node to intelligently schedule task transmission data, comprehensively considers user demand and actual energy supply state, and can more accurately allocate tasks to appropriate green energy paths, realizes optimal matching of task transmission and green energy utilization, and improves the accuracy and effectiveness of task scheduling. Finally, the task scheduling result and environmental protection benefit data are fed back to the user end, so that the user can timely understand the specific scheduling situation of the task sent by the user based on the selected green energy path and the environmental protection benefit generated thereby, and further make the user have a clear cognition of the effect of the user's network behavior in the aspect of green energy utilization, thereby further enhancing the enthusiasm of the user for selecting the green energy path for task transmission. Therefore, by implementing the application, by reasonably utilizing the green energy path preference data and the actual energy state data of each green energy node, the task transmission is more dependent on the green energy path to complete, thereby effectively improving the utilization rate of green energy, highlighting the environmental protection benefit, and helping to promote the development of 5G network in the running process in a more green and environmentally friendly direction, and reducing the dependence on traditional energy.

[0014] In an optional embodiment, based on the green energy path preference data and the second energy state data of each green energy node, the network storage function module and the policy control function module are used to intelligently schedule the task transmission data, to obtain the task scheduling result and the environmental protection benefit data, comprising:

[0015] The network storage function module sends the green energy path preference data and the second energy state data of each green energy node to the policy control function module; based on the green energy path preference data and the second energy state data of each green energy node, the policy control function module is used to optimize the initial routing strategy to obtain a target routing strategy, and the target routing strategy is sent to the network storage function module; based on the target routing strategy, the network storage function module is used to intelligently schedule the task transmission data to obtain the task scheduling result; based on the target routing strategy and the task scheduling result, the network storage function module is used to determine the environmental protection benefit data.

[0016] The 5G network green energy routing optimization method provided by the application can generate a more targeted target routing strategy that is more in line with the actual situation by considering the personalized preferences of users and the actual energy status of green energy nodes, greatly improving the accuracy and adaptability of the routing strategy.

[0017] In an optional embodiment, the method further comprises: determining reward data based on the green energy path preference data and sending the reward data to the user end.

[0018] The 5G network green energy routing optimization method provided by the application can determine reward data through green energy path preference data and send the reward data to the user end, so as to enhance the environmental protection awareness and participation of the user.

[0019] In a second aspect, the application provides a 5G network green energy routing optimization method for a user end, wherein the user end is connected with a 5G core network system; the method comprises the following steps:

[0020] sending a green energy use instruction to the 5G core network system, so that the 5G core network system generates an initial routing strategy based on the green energy use instruction; receiving the initial routing strategy sent by the 5G core network system; determining green energy path preference data based on the initial routing strategy; obtaining task transmission data and sending the task transmission data and the green energy path preference data to the 5G core network system, so that the 5G core network system intelligently schedules the task transmission data based on the green energy path preference data and obtains task scheduling results and environmental protection benefit data; and receiving the task scheduling results and the environmental protection benefit data sent by the 5G core network system.

[0021] The 5G network green energy routing optimization method provided by the application can determine reward data through green energy path preference data and send the reward data to the user end, so as to enhance the environmental protection awareness and participation of the user.

[0022] In an optional implementation, the method further comprises: receiving the reward data sent by the 5G core network system.

[0023] In a third aspect, the application provides a 5G network green energy routing optimization system, which comprises a 5G core network system and a user end, wherein the 5G core network system comprises a session management function module, a network storage function module and a policy control function module, and the session management function module is connected with the network storage function module and the policy control function module respectively.

[0024] The 5G core network system is used for executing the 5G network green energy routing optimization method of the first aspect or any implementation thereof; and the user end is used for executing the 5G network green energy routing optimization method of the second aspect or any implementation thereof.

[0025] The 5G network green energy routing optimization system provided by the application can execute the 5G network green energy routing optimization method in the 5G core network system and the user end respectively, so as to greatly improve the utilization rate of green energy and promote the optimization of green energy in the 5G network.

[0026] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer instructions for causing a computer to execute the 5G network green energy routing optimization method of the first aspect or any of the corresponding embodiments thereof, or to execute the 5G network green energy routing optimization method of the second aspect or any of the corresponding embodiments thereof.

[0027] In a fifth aspect, the present application provides a computer program product comprising computer instructions for causing a computer to execute the 5G network green energy routing optimization method of the first aspect or any of the corresponding embodiments thereof, or to execute the 5G network green energy routing optimization method of the second aspect or any of the corresponding embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0028] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings required to be used in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0029] Figure 1 is a structural block diagram of a 5G network green energy routing optimization system according to an embodiment of the present application;

[0030] Figure 2 is a flowchart of a 5G network green energy routing optimization method according to an embodiment of the present application;

[0031] Figure 3 is a flowchart of another 5G network green energy routing optimization method according to an embodiment of the present application;

[0032] Figure 4 is a flowchart of still another 5G network green energy routing optimization method according to an embodiment of the present application;

[0033] Figure 5 is a flowchart of an incentive mechanism for user selection of a green energy path according to an embodiment of the present application;

[0034] Figure 6 is a hardware structure diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0036] The prior art has the following disadvantages:

[0037] 1. Lack of user incentive mechanism: In the existing 5G network architecture and traffic scheduling mechanism, users have no direct opportunity to choose green energy paths, and there is a lack of incentive mechanism to encourage users to choose according to energy types. This leads to an unclear connection between user behavior and energy consumption, and users have difficulty in actively participating in the use of green energy.

[0038] 2. Insufficient feedback of users on environmental protection behavior: In the prior art, users lack intuitive feedback on the impact of their choice of network path on the use of green energy, and cannot understand whether their choice has reduced carbon emissions. This lack of transparency weakens users' environmental awareness and cannot encourage them to continue to choose green energy paths in subsequent use.

[0039] 3. Limited user choice: The existing technology usually does not allow users to make autonomous choices based on the availability of green energy when using non-real-time services. Users' requirements for network services are more focused on performance and latency, ignoring environmental protection and energy consumption. This limits users' opportunities to balance between service quality and environmental behavior.

[0040] 4. Insufficient user participation: The existing network architecture and service design involve less user selection of energy types, and users' behavior is limited to consuming network resources without the motivation to actively choose green energy paths or even knowing the impact of their behavior on energy consumption. The lack of incentive mechanism also makes users unwilling to sacrifice certain service delays or comfort for energy saving and environmental protection.

[0041] According to the embodiments of the present application, a 5G network green energy routing optimization method embodiment is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0042] A 5G network green energy routing optimization method is provided in the present embodiment, which can be used in, for example Figure 1The 5G core network system 11 shown, wherein the 5G core network system 11 is connected with the user terminal 12, the 5G core network system 11 includes a session management function module 111, a network storage function module 112 and a policy control function module 113. Specifically, the session management function module 111 is connected with the network storage function module 112 and the policy control function module 113 respectively.

[0043] Figure 2 The flow chart of the 5G network green energy routing optimization method according to the embodiment of the application is shown as follows, Figure 2 The flow chart of the 5G network green energy routing optimization method according to the embodiment of the application is shown as follows,

[0044] Step S201, when the session management function module receives the green energy use instruction sent by the user terminal, the first energy state data of each green energy node in the 5G network is obtained through the network storage function module.

[0045] Among them, the session management function module (Session Management function, SMF) is used for being responsible for the establishment, modification and release of the session, including the tunnel maintenance between UPF and AN node; the network storage function module (NFRepository Function, NRF) represents a function module providing registration and discovery function, which can make network functions (NF) discover each other and communicate through API interface.

[0046] Further, the green energy use instruction indicates that the user corresponding to the user terminal selects to use the green energy path when using the non-real-time service; the 5G network represents the 5G core network (Core Network), which is the brain of the mobile communication network, responsible for managing and controlling the whole network, mainly including switches / routers and other network elements with certain function entities.

[0047] Further, the first energy state data is used to represent the green energy power supply situation of each green energy node, especially the power supply proportion of renewable energy such as solar energy and wind energy.

[0048] Specifically, when the user selects to use the green energy path when using the non-real-time service, the user inputs the green energy use instruction in the user terminal 12. Further, when the user terminal 12 sends the received green energy use instruction to the session management function module 111.

[0049] Further, when the session management function module 111 receives the green energy use instruction, the network storage function module 112 is sent to obtain the instruction, so that the network storage function module 112 obtains the green energy power supply situation of each green energy node in the 5G network under the control of the obtaining instruction, especially the power supply proportion of renewable energy such as solar energy and wind energy.

[0050] In step S202, the initial routing strategy is generated by the policy control function module based on the first energy state data of each green energy node, and the initial routing strategy is sent to the user end.

[0051] The policy control function module (PCF) is responsible for the policy control of the 5G core network control plane function, which mainly manages the QoS of each service data flow in the 5G core network.

[0052] Specifically, the network storage function module 112 sends the obtained first energy state data of each green energy node to the session management function module 111.

[0053] Further, the session management function module 111 sends the first energy state data of each green energy node to the policy control function module 113.

[0054] Further, the policy control function module 113 can generate the corresponding initial routing strategy according to the received first energy state data of each green energy node. Further, the initial routing strategy can preferentially select those nodes with high green energy proportion for data transmission, thereby reducing the consumption of traditional energy.

[0055] In step S203, when the network storage function module receives the green energy path preference data and the task transmission data sent by the user end, the network storage function module and the policy control function module are used to intelligently schedule the task transmission data based on the green energy path preference data, to obtain the task scheduling result and the environmental protection benefit data.

[0056] The green energy path preference data can be determined according to the initial routing strategy, and can include the priority of the green energy path and the tolerable delay period of the user; the task transmission data represents the non-real-time task data selected by the user; and the environmental protection benefit data represents the environmental protection effect of the green energy path selected by the user, such as the proportion of network functions using green energy on the green energy path, and the reduction of traditional energy use compared with the past.

[0057] Specifically, the user end 12 receives the initial routing strategy feedback by the policy control function module 113, and displays the initial routing strategy to the user, so that the user can set the priority of the green energy path and the tolerable delay period according to the initial routing strategy.

[0058] Further, the user end 12 sends the received user input green energy path preference data and task transmission data to the network storage function module 112.

[0059] Further, the network storage function module 112 receives the green energy path preference data and the task transmission data sent by the user terminal 12, can intelligently schedule the transmission of the task transmission data in the 5G network on the basis of the green energy path preference data, in combination with the policy control function module 113, and obtain the corresponding task scheduling result and the corresponding environmental protection benefit data.

[0060] Step S204, the task scheduling result and the environmental protection benefit data are sent to the user terminal.

[0061] Specifically, the 5G core network system 11 can feed back the obtained task scheduling result and environmental protection benefit data to the user terminal 12.

[0062] The 5G network green energy routing optimization method provided in the embodiment can obtain the first energy state data of each green energy node in the 5G network through the network storage function module, and can understand the supply situation of green energy in real time. Further, the initial routing strategy is generated in combination with the first energy state data of each green energy node and is fed back to the user terminal, which can guide the data transmission to preferentially select the green energy node path with sufficient and efficient energy, thereby improving the utilization rate of green energy in the entire 5G network data transmission and optimizing the network energy structure. Further, the task transmission data is intelligently scheduled in combination with the green energy path preference data sent by the user terminal, which can more effectively utilize the green energy nodes in the 5G network, reduce the dependence on traditional energy in peak period, at the same time, meet the individualized demand of the user for the green energy use path, so that the user can participate in the application process of green energy in the network according to his own will, enhance the sense of control and participation of the user in the use of green energy. Finally, the task scheduling result and the environmental protection benefit data are sent to the user terminal, which can enable the user to understand the completion situation of the data transmission task based on the green energy path and the environmental protection benefit generated, enhance the participation and long-term motivation of the user, and further stimulate the willingness of the user to continuously use green energy. Therefore, by implementing the present application, through the user incentive and feedback mechanism, in combination with intelligent scheduling and node priority management, the user can not only obtain actual incentives, but also enhance the awareness and pride through environmental protection feedback and achievement display, greatly improve the utilization rate of green energy, and promote the optimization of green energy in the 5G network.

[0063] In the embodiment, a 5G network green energy routing optimization method is provided, which can be used for the 5G core network system 11 as shown in the figure. Figure 1 The 5G core network system 11 is connected with the user terminal 12. Figure 3 The flowchart of the 5G network green energy routing optimization method according to the embodiment of the present application is shown in the figure. Figure 3 The flowchart of the 5G network green energy routing optimization method according to the embodiment of the present application is shown in the figure.

[0064] Step S301, when the session management function module receives the green energy use instruction sent by the user end, the first energy state data of each green energy node in the 5G network is obtained through the network storage function module. For details, please refer to Figure 2 Step S201 of the embodiment shown will not be described here.

[0065] Step S302, based on the first energy state data of each green energy node, an initial routing strategy is generated by using the policy control function module, and the initial routing strategy is sent to the user end.

[0066] Specifically, the above step S302 includes:

[0067] Step S3021, based on the first energy state data of each green energy node, the policy control function module is used to evaluate each green energy path in the 5G network, and a plurality of evaluation results are obtained.

[0068] Specifically, when the policy control function module 113 receives the first energy state data of each green energy node sent by the network storage function module 112, it can comprehensively evaluate each green energy path in combination with the first energy state data of each green energy node. Among them, the evaluation mainly considers the green energy proportion of the nodes involved in the path, and the green energy related data of each node is used as an important basis for evaluating whether each path is a green energy path and the high and low of the green degree.

[0069] Further, through comprehensive analysis of the green energy proportion and other factors of the nodes involved in each path, the policy control function module 113 can obtain a plurality of evaluation results for each green energy path in the 5G network. These evaluation results can clearly show the advantages and disadvantages of each path in terms of green energy utilization, such as which path has a higher green energy proportion, which is more in line with environmental protection and energy saving requirements, and which path has a lower green energy utilization degree, thereby providing sufficient reference basis for subsequent selection of optimal routing strategy.

[0070] Step S3022, generating an initial routing strategy based on a plurality of evaluation results.

[0071] Specifically, according to the plurality of evaluation results obtained, the path with a higher green energy proportion is preferentially selected to set the corresponding routing strategy.

[0072] Step S3023, sending the initial routing strategy to the user end.

[0073] Specifically, the policy control function module 113 sends the generated initial routing strategy to the user end 12, and based on the initial routing strategy, the user's use of network elements can be modified, and data is transmitted in the network element with a higher green energy proportion, thereby reducing the dependence on non-green energy.

[0074] Step S303, when the network storage function module receives the green energy path preference data and the task transmission data sent by the user terminal, based on the green energy path preference data, the network storage function module and the policy control function module are used to intelligently schedule the task transmission data, to obtain the task scheduling result and the environmental protection benefit data.

[0075] Specifically, the above-mentioned step S303 comprises:

[0076] Step S3031, when the network storage function module receives the green energy path preference data and the task transmission data sent by the user terminal, the second energy state data of each green energy node in the 5G network is obtained.

[0077] Specifically, after the user terminal 12 receives the initial routing strategy feedback by the policy control function module 113, the initial routing strategy can be displayed to the user according to the initial routing strategy, so that the user can set the priority of the green energy path and the tolerable delay period according to the initial routing strategy.

[0078] Further, the user terminal 12 sends the received user input green energy path preference data and task transmission data to the network storage function module 112.

[0079] Further, after the network storage function module 112 receives the green energy path preference data and the task transmission data sent by the user terminal 12, in order to meet the user's green energy path preference and the scheduling of the corresponding task transmission data, the real-time green energy supply situation of each green energy node in the 5G network needs to be considered comprehensively, therefore, the second energy state data of each green energy node in the 5G network is continuously obtained through the network storage function module 112.

[0080] Step S3032, based on the green energy path preference data and the second energy state data of each green energy node, the network storage function module and the policy control function module are used to intelligently schedule the task transmission data, to obtain the task scheduling result and the environmental protection benefit data.

[0081] Specifically, on the basis of comprehensively considering the green energy path preference data and the second energy state data of each green energy node, the transmission of the task transmission data in the 5G network can be intelligently scheduled by combining the policy control function module 113 and the network storage function module 112, and the corresponding task scheduling result and the corresponding environmental protection benefit data are obtained.

[0082] In some optional embodiments, the above-mentioned step S3032 comprises:

[0083] Step a1, the network storage function module sends the green energy path preference data and the second energy state data of each green energy node to the policy control function module.

[0084] Step a2, based on the green energy path preference data and the second energy state data of each green energy node, the initial routing strategy is optimized by the policy control function module to obtain a target routing strategy, and the target routing strategy is sent to the network storage function module.

[0085] Step a3, based on the target routing strategy, the network storage function module is used to intelligently schedule the task transmission data to obtain a task scheduling result.

[0086] Step a4, based on the target routing strategy and the task scheduling result, the network storage function module is used to determine the environmental protection benefit data.

[0087] Firstly, the network storage function module 112 sends the received green energy path preference data and the second energy state data of each green energy node to the policy control function module 113.

[0088] Further, the policy control function module 113 can adjust the initial routing strategy according to the green energy path preference data and the second energy state data of each green energy node, and preferentially select the path with higher green energy proportion to set the optimal routing strategy, i.e. the target routing strategy.

[0089] Further, the policy control function module 113 feeds back the target routing strategy to the user terminal 12.

[0090] Further, the user terminal 12 sends the received target routing strategy to the network storage function module 112.

[0091] Secondly, on the basis of the target routing strategy, the network storage function module 112 can intelligently schedule the task transmission data according to the availability of each green energy node, preferentially transmit in the period with sufficient green energy and obtain the corresponding task scheduling result. Through reasonable task scheduling, the 5G core network system 11 can more effectively utilize the green energy nodes in the 5G network, reduce the dependence on traditional energy in peak period, and further maximize the use of green energy on the premise of ensuring not affecting user experience, achieving the effect of green energy saving.

[0092] Finally, after the task scheduling is completed, the network storage function module 112 can determine the environmental protection benefit of the corresponding green path, such as the reduction of carbon dioxide emissions.

[0093] Step S304, send the task scheduling result and the environmental protection benefit data to the user terminal.

[0094] Specifically, the 5G core network system 11 can send the obtained task scheduling result and environmental protection benefit data to the user terminal 12.

[0095] In step S305, reward data is determined based on the green energy path preference data and sent to the user terminal.

[0096] The reward data can include traffic discount offers, points rewards, or carbon emission reduction vouchers, etc.

[0097] Specifically, after feeding back the task scheduling result to the user terminal 12, the 5G core network system 11 can also give additional rewards according to the user's green energy preference, i.e. green energy path preference data, i.e. send corresponding reward data to the user terminal 12, so as to enhance the user's environmental awareness and participation in environmental protection.

[0098] The 5G network green energy routing optimization method provided in this embodiment uses the first energy state data of each green energy node to evaluate each green energy path in the 5G network, which can comprehensively consider the actual energy status of the green energy nodes involved in each path, and realize comprehensive and accurate evaluation of the green energy path. Further, combining multiple evaluation results to generate an initial routing strategy, personalized routing strategies can be developed according to the actual situation of different paths to meet the current network energy layout and user demand, making the routing selection more in line with the actual supply of green energy and network transmission demand, improving the pertinence and effectiveness of the routing strategy. Finally, by sending the initial routing strategy to the user terminal, it can effectively guide the user to preferentially select those green energy paths that are more advantageous in energy utilization, promote the widespread application of green energy in the 5G network, and improve the user's enthusiasm and initiative to participate in green energy network transmission.

[0099] In this embodiment, a 5G network green energy routing optimization method is provided, which can be used in a user terminal 12 as shown in Figure 1 The user terminal 12 is connected to the 5G core network system 11. Figure 4 The flowchart of the 5G network green energy routing optimization method according to an embodiment of the present application is shown in Figure 4 The flowchart includes the following steps:

[0100] In step S401, a green energy usage instruction is sent to the 5G core network system, so that the 5G core network system generates an initial routing strategy based on the green energy usage instruction.

[0101] Specifically, the user terminal 12 sends a green energy usage instruction to the 5G core network system 11.

[0102] Further, the 5G core network system 11 can generate a corresponding initial routing strategy according to the received green energy use instruction. The specific generation process is described with reference to the description of step S302 above, and will not be described here.

[0103] Step S402, receiving the initial routing strategy sent by the 5G core network system.

[0104] Specifically, the 5G core network system 11 feeds back the generated 5G core network system 11 to the user end 12.

[0105] Step S403, determining green energy path preference data based on the initial routing strategy.

[0106] Specifically, after the user end 12 receives the initial routing strategy fed back by the policy control function module 113, the user end 12 can display the initial routing strategy to the user according to the initial routing strategy, so that the user can set the priority of the green energy path and the tolerable delay period according to the initial routing strategy, that is, form the corresponding green energy path preference data.

[0107] Step S404, obtaining task transmission data and sending the task transmission data and the green energy path preference data to the 5G core network system, so that the 5G core network system intelligently schedules the task transmission data based on the green energy path preference data and obtains task scheduling result and environmental protection benefit data.

[0108] Specifically, the user end 12 receives the task transmission data input by the user, and sends the task transmission data and the green energy path preference data to the 5G core network system 11.

[0109] Further, the 5G core network system 11 can intelligently schedule the task transmission data based on the received 5G core network system 11 and obtain the task scheduling result and the environmental protection benefit data. The specific process can be described with reference to the description of step S303 above, and will not be described here.

[0110] Step S405, receiving the task scheduling result and the environmental protection benefit data sent by the 5G core network system.

[0111] Specifically, the 5G core network system 11 feeds back the obtained task scheduling result and environmental protection benefit data to the user end 12.

[0112] Step S406, receiving the reward data sent by the 5G core network system.

[0113] Specifically, the determination of the reward data in the 5G core network system 11 is described with reference to the description of step S305 above, and will not be described here.

[0114] The 5G network green energy routing optimization method provided by the embodiment can improve the utilization rate of green energy and promote the optimization of green energy in the 5G network through a user incentive and feedback mechanism, intelligent scheduling, and node priority management.

[0115] A 5G network green energy routing optimization system is provided in the embodiment, as shown in the figure. Figure 1 The 5G network green energy routing optimization system includes a 5G core network system 11 and a user terminal 12.

[0116] Specifically, the 5G core network system 11 includes a session management function module 111, a network storage function module 112, and a policy control function module 113.

[0117] The session management function module 111 is connected to the network storage function module 112 and the policy control function module 113.

[0118] Further, the specific functions of the 5G core network system 11 and the user terminal 12 are described with reference to the 5G network green energy routing optimization method provided by the above-mentioned embodiments of the application, which will not be described here.

[0119] The 5G network green energy routing optimization system provided by the embodiment can improve the utilization rate of green energy and promote the optimization of green energy in the 5G network through the 5G network green energy routing optimization method executed in the 5G core network system and the user terminal.

[0120] In an example, a 5G network green energy routing optimization method based on user incentives and feedback is provided. The method introduces a user incentive and feedback mechanism to optimize the use of green energy in the 5G network by fully utilizing user behavior. The incentive mechanism improves the enthusiasm of users to choose green energy paths, and the feedback mechanism enhances the user's sense of participation and long-term motivation through transparent environmental effectiveness display. The green energy priority scheduling mechanism for non-real-time tasks maximizes the use of green energy without affecting user experience through flexible scheduling algorithms. The example not only reduces the dependence on traditional energy, but also promotes the popularization and application of green energy through user behavior. Specifically, it includes:

[0121] I. Incentive mechanism for user selection of green energy paths

[0122] The present example proposes an incentive mechanism, when users use non-real-time services, they can choose to use green energy path, SMF obtains the energy state and green energy proportion of each node through NRF according to user selection, and notifies PCF to adjust user policy to generate optimal routing strategy, the routing strategy will preferentially select those nodes with high green energy proportion for transmission, thereby reducing the consumption of traditional energy. In order to achieve this purpose, the NRF will periodically or in real time obtain the green energy supply situation of each node in the core network, especially the power supply proportion of renewable energy such as solar energy and wind energy, and then the PCF evaluates the path in the network according to this information, and preferentially selects the path with high green energy proportion to set the routing strategy, thereby modifying the user's use of network elements, and transmitting data in the network element with high green energy proportion, thereby reducing the dependence on non-green energy. The specific process is shown in Figure 5

[0123] The system records the user's selection behavior and provides rewards in the form of traffic discount offers, point rewards, or carbon emission reduction certificates, thereby enhancing the user's environmental awareness and participation in environmental protection.

[0124] II. Feedback mechanism for environmental protection behavior

[0125] The feedback mechanism for environmental protection behavior can show the user the environmental protection effect of the green energy path they selected, such as the proportion of network functions using green energy on the green energy path, and the reduction in the use of traditional energy compared to the past. The user can not only see the reduction in carbon emissions caused by their own selection, but also understand their cumulative use of green energy through graphical or data means. This feedback mechanism can further motivate users to continue to choose green energy paths.

[0126] The specific process is as follows:

[0127] 1. After the user completes the task, the system shows the user the environmental benefits of their choice of green path through application interface or short message notification, such as the reduction in carbon dioxide emissions.

[0128] 2. The system will record the user's environmental protection behavior and periodically show the user their total green energy usage and contribution to the environment.

[0129] III. Green energy priority scheduling for non-real-time tasks

[0130] For non-real-time tasks, the present example proposes a green energy priority scheduling mechanism that allows users to set renewable energy preferences and tolerate service delay time periods. The system will flexibly adjust the transmission time and path of the task according to the user's selection and the real-time power supply situation of the green energy node. This scheme ensures data transmission during time periods with sufficient green energy, reducing the use of traditional energy.​

[0131] Advantages of green energy priority scheduling:

[0132] 1. Flexibility: Users can customize the delay period, and the system automatically schedules tasks when green energy is available.

[0133] 2. Resource optimization: Through reasonable task scheduling, the system can more effectively utilize green energy nodes in the 5G network, reducing dependence on traditional energy during peak periods.

[0134] 3. Balance user experience and environmental protection goals: Ensure that the user experience is not affected, maximize the use of green energy, and achieve the effect of green energy saving.

[0135] The specific process is as follows:

[0136] 1. When a user initiates a non-real-time task, set the priority of the green energy path and the tolerable delay period.

[0137] 2. The system intelligently schedules tasks based on the availability of green energy nodes, and preferentially transmits during periods when green energy is abundant. The intelligent scheduling process refers to the first point in the process.

[0138] 3. After the task is completed, the system feeds back the results to the user and gives additional rewards based on the user's green energy priority selection.

[0139] The method of 5G network green energy routing optimization based on user incentive and feedback provided in this example maximizes the use of green energy in the 5G network through user incentive and feedback mechanisms, combined with intelligent scheduling and node priority management. Users not only receive actual rewards by choosing green energy paths, but also learn about their environmental contributions through system feedback, further motivating their willingness to use green energy. This innovative mechanism optimizes 5G network energy consumption while promoting the widespread use of green energy. Therefore, through this example, through user incentive and feedback mechanisms, combined with intelligent scheduling and node priority management, users not only receive actual incentives, but also enhance their awareness and pride through environmental feedback and achievement display. These innovative measures greatly improve the utilization of green energy and promote green energy optimization in the 5G network.

[0140] The embodiment of the present application also provides a computer device with the above-mentioned Figure 2 to Figure 4 5G network green energy routing optimization method.

[0141] Please refer to Figure 6 , Figure 6 is a structural schematic diagram of a computer device provided by an optional embodiment of the present application, as Figure 6As shown, the computer device includes one or more processors 10, memory 20, and interfaces 30 for external devices such as a keyboard and a mouse and peripheral devices such as disk devices or other storage devices. One or more busses 10 can be used to implement the interface between the various internal and external components and can be implemented using any one or more of a variety of bus technologies including a System bus, PCI, SCSI, AGP, Super- I / O bus, etc. Furthermore, various buses can be used in front side buses, back side buses, and other bus configurations based on any bus or messaging technology known to those skilled in the art. Figure 6 The processor 10 is used in the embodiments shown as the processor 10.

[0142] The processor 10 can be a central processing unit, a network processing unit, or a combination thereof. The processor 10 can further include a hardware chip. The hardware chip can be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device can be a complex programmable logic device, a field programmable logic device, a general array logic, or any combination thereof.

[0143] The memory 20 stores instructions that can be executed by the at least one processor 10, so that the at least one processor 10 can perform the method shown in the above embodiments.

[0144] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system, application programs required by at least one function, etc. The data storage area can store data created by the computer device, etc. In addition, the memory 20 can include a high-speed random access memory, and can further include a non-transitory memory such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some alternative embodiments, the memory 20 can optionally include a memory that is remotely located with respect to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0145] The memory 20 can include a volatile memory such as a random access memory, and can also include a non-volatile memory such as a flash memory, a hard disk, or a solid state disk. The memory 20 can also include a combination of the above-mentioned types of memories.

[0146] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or communication networks.

[0147] The embodiments of the present application further provide a computer readable storage medium, and the method according to the embodiments of the present application can be implemented in hardware, firmware, or recorded in a storage medium, or stored in a remote storage medium or a non-transitory machine readable storage medium and downloaded to a local storage medium through network, so that the method described herein can be processed by such software on a storage medium using a general purpose computer, a special purpose processor, or programmable or special hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid state disk, etc. Further, the storage medium can also include a combination of the above-mentioned memories. It can be understood that the computer, the processor, the microprocessor controller, or the programmable hardware includes a storage component that can store or receive software or computer code, when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0148] Part of the present application can be applied as a computer program product, for example, computer program instructions, when executed by a computer, the operation of the computer can invoke or provide the method and / or technical solutions according to the present application. Those skilled in the art should understand that the form of computer program instructions in computer readable medium includes but is not limited to source file, executable file, installation package file, etc. Correspondingly, the way of computer program instructions executed by computer includes but is not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Here, the computer readable medium can be any available computer readable storage medium or communication medium accessible to the computer.

[0149] Although the embodiments of the present application are described in conjunction with the accompanying drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. A 5G network green energy routing optimization method, characterized in that, A method for a 5G core network system connected with a user terminal, the 5G core network system comprising a session management function module, a network storage function module and a policy control function module, the session management function module being connected with the network storage function module and the policy control function module respectively; the method comprising: when the session management function module receives a green energy use instruction sent by the user terminal, obtaining first energy state data of each green energy node in the 5G network through the network storage function module; generating an initial routing strategy based on the first energy state data of each green energy node using the policy control function module, and sending the initial routing strategy to the user terminal; when the network storage function module receives green energy path preference data and task transmission data sent by the user terminal, intelligently scheduling the task transmission data based on the green energy path preference data using the network storage function module and the policy control function module, obtaining task scheduling results and environmental protection benefit data, the green energy path preference data being determined according to the initial routing strategy; sending the task scheduling results and the environmental protection benefit data to the user terminal.

2. The method of claim 1, wherein, Based on the first energy state data of each green energy node, generating an initial routing strategy using the policy control function module, and sending the initial routing strategy to the user terminal, comprising: based on the first energy state data of each green energy node, using the policy control function module to evaluate each green energy path in the 5G network, obtaining a plurality of evaluation results; generating the initial routing strategy based on the plurality of evaluation results; sending the initial routing strategy to the user terminal.

3. The method of claim 1, wherein, When the network storage function module receives green energy path preference data and task transmission data sent by the user terminal, intelligently scheduling the task transmission data based on the green energy path preference data using the network storage function module and the policy control function module, obtaining task scheduling results and environmental protection benefit data, comprising: when the network storage function module receives green energy path preference data and task transmission data sent by the user terminal, obtaining second energy state data of each green energy node in the 5G network; based on the green energy path preference data and the second energy state data of each green energy node, intelligently scheduling the task transmission data using the network storage function module and the policy control function module, obtaining the task scheduling results and the environmental protection benefit data.

4. The method of claim 3, wherein, Based on the green energy path preference data and the second energy state data of each green energy node, intelligently scheduling the task transmission data using the network storage function module and the policy control function module, obtaining the task scheduling results and the environmental protection benefit data, comprising: the network storage function module sends the green energy path preference data and the second energy state data of each green energy node to the policy control function module; Based on the green energy path preference data and the second energy state data of each green energy node, the initial routing strategy is optimized by using the policy control function module to obtain a target routing strategy, and the target routing strategy is sent to the network storage function module; Based on the target routing strategy, the network storage function module is used to intelligently schedule the task transmission data to obtain a task scheduling result; Based on the target routing strategy and the task scheduling result, the network storage function module is used to determine the environmental protection benefit data.

5. The method of claim 1, wherein, The method further comprises: Based on the green energy path preference data, reward data is determined and sent to the user end. 6.A 5G network green energy routing optimization method, characterized in that, For a user end connected with a 5G core network system, the method comprises: Sending a green energy use instruction to the 5G core network system, so that the 5G core network system generates an initial routing strategy based on the green energy use instruction; Receiving the initial routing strategy sent by the 5G core network system; Based on the initial routing strategy, green energy path preference data is determined; Obtaining task transmission data and sending the task transmission data and the green energy path preference data to the 5G core network system, so that the 5G core network system intelligently schedules the task transmission data based on the green energy path preference data and obtains a task scheduling result and environmental protection benefit data; Receiving the task scheduling result and environmental protection benefit data sent by the 5G core network system.

7. The method of claim 6, wherein, The method further comprises: Receiving the reward data sent by the 5G core network system. 8.A 5G network green energy routing optimization system, characterized in that, The system comprises a 5G core network system and a user end, the 5G core network system comprises a session management function module, a network storage function module and a policy control function module, and the session management function module is connected with the network storage function module and the policy control function module respectively; The 5G core network system is used to execute the 5G network green energy routing optimization method in any one of claims 1-5; The user end is used to execute the 5G network green energy routing optimization method in claim 6 or 7.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, and the computer instructions are used to make the computer execute the 5G network green energy routing optimization method in any one of claims 1-7.

10. A computer program product, characterised in that, The computer readable storage medium stores computer instructions, and the computer instructions are used to make the computer execute the 5G network green energy routing optimization method in any one of claims 1-7.

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