WO2024036953A1 - Service experience guarantee method, electronic device and computer-readable storage medium - Google Patents

Service experience guarantee method, electronic device and computer-readable storage medium Download PDF

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Publication number
WO2024036953A1
WO2024036953A1 PCT/CN2023/083142 CN2023083142W WO2024036953A1 WO 2024036953 A1 WO2024036953 A1 WO 2024036953A1 CN 2023083142 W CN2023083142 W CN 2023083142W WO 2024036953 A1 WO2024036953 A1 WO 2024036953A1
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Prior art keywords
guarantee
service experience
strategy
experience guarantee
information
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PCT/CN2023/083142
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French (fr)
Chinese (zh)
Inventor
詹勇
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中兴通讯股份有限公司
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Publication of WO2024036953A1 publication Critical patent/WO2024036953A1/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data

Definitions

  • Embodiments of the present application relate to but are not limited to the field of network management technology, and in particular, to a service experience guarantee method, electronic equipment, and computer-readable storage media.
  • 5G networks are based on 5QI and NSSAI (Network Slice Selection Assistance Information) and associated static manual configuration parameters to achieve differentiated guarantees for different services.
  • NSSAI Network Slice Selection Assistance Information
  • static manual configuration parameters cannot adapt to the time-varying wireless channel environment and cell status. Therefore, business QoS (quality of service) requirements cannot meet user needs or SLA (service level agreement) breaches often occur in 5G communication networks.
  • Embodiments of the present application provide a service experience guarantee method, electronic device, and computer-readable storage medium.
  • the first aspect of the embodiment of the present application proposes a business experience guarantee method.
  • the method includes: obtaining a target intention; extracting feature information from the target intention; determining the achievable probability of the target intention based on the feature information; When the achievable probability is greater than the first preset threshold, generate the first service experience guarantee strategy according to the characteristic information; monitor the performance index parameters during the execution of the first service experience guarantee strategy; If the indicator parameters do not meet the parameter requirements, the first service experience guarantee strategy is adjusted so that the performance indicator parameters meet the parameter requirements of the target intention.
  • a second aspect of the embodiment of the present application proposes an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following is implemented: The business experience guarantee method described in the first aspect.
  • a third aspect of the embodiment of the present application proposes a computer-readable storage medium that stores a computer-executable program, and the computer-executable program is used to cause the computer to perform the services described in the first aspect.
  • Figure 1 is a flow chart of a service experience guarantee method provided by an embodiment of the present application
  • Figure 2 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application
  • Figure 3 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application.
  • Figure 4 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application.
  • Figure 5 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application.
  • Figure 6 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application.
  • Figure 7 is a system block diagram of an electronic device provided by an embodiment of the present application.
  • Embodiments of the present application provide a service experience guarantee method, electronic device, and computer-readable storage medium.
  • the method includes: obtaining the target intention; extracting feature information from the target intention; determining the achievability probability of the target intention based on the feature information; and generating a first business experience guarantee strategy based on the feature information when the achievability probability is greater than a first preset threshold. ; Monitor the performance indicator parameters during the execution of the first service experience guarantee strategy; when the performance indicator parameters do not meet the parameter requirements, adjust the first service experience guarantee strategy so that the performance indicator parameters meet the parameter requirements of the target intention.
  • a business experience guarantee strategy is generated based on the user intention, and the execution process of the business experience guarantee strategy is monitored.
  • the business experience guarantee strategy will be adjusted in a timely manner, thereby achieving closed-loop business experience guarantee for the entire life cycle of the target intention.
  • Figure 1 is a flow chart of a service experience guarantee method provided by an embodiment of the present application.
  • the service experience guarantee method includes:
  • obtaining the target intention may refer to obtaining a voice message with the target intention input by the user, or may refer to obtaining text information with the target intention input by the user through the keyboard.
  • the characteristic information may include: at least one of a guarantee target, a guarantee area, a guarantee time period, and a guarantee service type.
  • keywords may be extracted from the voice information input by the user through speech recognition technology as Feature information, or by detecting keywords in text information as feature information.
  • the voice information or text information input by the user can also be processed through natural language processing technology to extract feature information.
  • the machine learning algorithm can determine the achievability probability of the target intention input by the user based on the feature information.
  • the target intention is "All 5G base stations in area A immediately enable software application A II.”
  • Level Guarantee from which the characteristic information can be extracted as follows: the guarantee area is “all 5G base stations in area A”, the guarantee period is "starting immediately until the intention changes”, the guarantee business type is "A application”, and the guarantee target is "Level 2" Guarantee. It is understandable that the system can preset different levels of business guarantee capabilities, such as first-level guarantee, second-level guarantee and third-level guarantee.
  • the first-level guarantee is the highest level of guarantee, that is, the guarantee business type corresponds to The business can preempt the wireless air interface resources and computing power resources of non-guaranteed services without restrictions, and there is no need to consider interference with other non-guaranteed services.
  • the second-level guarantee is the intermediate guarantee, that is, It ensures that services corresponding to the service type can seize other non-GBR (Guaranteed Bit Rate, guaranteed bit rate) or non-PBR (Prioritised Bit Rate, priority bit rate) wireless air interface resources, and at the same time supports the optimization of scheduling strategies and algorithms for this service;
  • Level 3 guarantee is the lowest level of guarantee, that is, the service corresponding to the guaranteed service type cannot seize the wireless air interface resources of other services, but supports the optimization of scheduling strategies and algorithms for this service.
  • the system can use machine learning algorithms to analyze based on the above characteristic information combined with historical data, and can obtain that the achievability probability of the target intention is 100%, which is greater than the first preset threshold.
  • the achievability probability of the target intention can also be determined through digital twin network technology.
  • the first business experience guarantee policy is generated according to the characteristic information.
  • this can be done through preset static rules or through The dynamic optimization method generates a service experience guarantee strategy based on characteristic information.
  • the characteristic information is as follows: the guarantee area is "all 5G base stations in area A”, the guarantee time period is "starting immediately until the intention changes", and the guarantee business type is " A application” and the assurance target is "Level 2 assurance", since different levels of business assurance capabilities have been preset in the system, there is a clear path to achieve the above characteristic information. Based on this, the corresponding response can be directly generated through the preset static rules.
  • the first business experience guarantee strategy is as follows: the guarantee area is "all 5G base stations in area A”, the guarantee time period is "starting immediately until the intention changes”, and the guarantee business type is " A application” and the assurance target is "Level 2 assurance", since different levels of business assurance capabilities have been preset in the system, there is a clear path to achieve the above characteristic information. Based on this, the corresponding response can be directly generated through the preset static
  • the target intention may also be an intention whose achievement path is unclear.
  • the corresponding first business experience guarantee strategy can be generated through a machine learning algorithm. In some embodiments, this can also be done in the digital twin platform. Search for optimization to generate the first business experience assurance strategy. Based on this, automatic translation from target intent to business experience assurance strategy is achieved.
  • the execution process of the first service experience guarantee policy includes: identifying and corresponding guarantee areas, guarantee service types, and guarantee time periods. data flow; determine the transmission performance parameters of the data flow according to the preset scheduling algorithm corresponding to the guarantee goal.
  • instructions are issued to all base stations in area A, and service identification technology is used to identify the reports sent by "A application" within the guaranteed time period, that is, from "immediately until the intention changes". message, and assign a specific label to the message.
  • the preset scheduling algorithm corresponding to the guarantee target the corresponding scheduling priority or uplink power control parameter is assigned to the labeled message.
  • the business identification technology can be implemented based on IP quintuple, or it can be implemented by building a business feature library through machine learning algorithms.
  • Performance index parameters related to the service experience guarantee strategy In some embodiments, that is, monitoring the transmission performance performance parameters of the data flow corresponding to the guarantee area, guarantee service type, and guarantee time period. When it is detected that the performance indicator parameters cannot meet the requirements of the target intention, the strategy should be adjusted in time.
  • the first business experience guarantee strategy can be adjusted through preset rules for guarantee, or it can be determined through automatic optimization through machine learning algorithms. A better strategy can be used to adjust the first business experience assurance strategy.
  • Digital twin technology can also be used to map the existing external environment and hardware performance to the digital twin platform, and implement at least one second business experience assurance strategy on the digital twin platform, and then Return the second service experience guarantee strategy in which the performance index parameters are sufficient to meet the parameter requirements of the target intent to the system to adjust the first service experience guarantee strategy. Based on this, by monitoring the performance index parameters during the execution of the first service experience guarantee strategy, when the performance index parameters cannot meet the parameter requirements of the target intention, the first service experience guarantee strategy is updated in a timely manner.
  • the system can automatically translate the intention into a business experience guarantee strategy, and In the process of executing the business experience guarantee strategy, relevant performance indicator parameters are monitored in real time. When it is monitored that the performance indicator parameters cannot meet the parameter requirements of the target intention, at least one of the preset rules, machine learning algorithms, or digital twin technology is used to The business experience guarantee strategy is updated so that the performance indicator parameters can meet the parameter requirements of the target intention.
  • the system can automatically translate the intention into a business experience guarantee strategy and execute the business During the process of experience guarantee strategy, relevant performance index parameters are monitored in real time, and the business experience guarantee strategy is updated when the performance index parameters deteriorate, so as to provide full life cycle automatic and closed-loop business experience guarantee for target intentions.
  • step S104 includes but is not limited to the following steps:
  • Step S201 Generate and execute at least one second service experience guarantee policy in the preset digital twin network according to the characteristic information
  • Step S202 Determine the first service experience guarantee strategy from the second service experience guarantee strategy according to the execution result of the second service experience guarantee strategy.
  • the digital twin network will perform dynamic optimization based on the characteristic information, generate at least one second service experience guarantee strategy, and at the same time execute the second service experience guarantee strategy in the digital twin network, and determine the strategy with the best execution result as The first business experience guarantee strategy.
  • the digital twin network is a mapping of the physical system in the digital world. Other services performed by the physical entities of the system will also be mapped to the digital twin network.
  • the second is executed in the digital twin network.
  • the business experience guarantee strategy will have an impact on other businesses being executed.
  • the above-mentioned strategy with the best execution results refers to the strategy that has the least impact on the performance index parameters of other businesses on the premise of meeting the target intent.
  • step S106 includes but is not limited to the following steps:
  • Step S301 Generate and execute at least one third service experience guarantee strategy in the digital twin network according to the parameter requirements of the target intention;
  • Step S302 Monitor the performance index parameters during the execution of the third service experience guarantee strategy
  • Step S303 Update the first service experience guarantee policy according to the third service experience guarantee policy whose performance index parameters meet parameter requirements.
  • the digital twin network is a technology that establishes a virtual twin of a physical network entity in the digital world.
  • the digital twin network can perceive the physical entity in real time and evolve with the physical entity, as the state of the physical entity and the operating environment change. Synchronous evolution, based on this, can be simulated, predicted, and judged on the digital twin network, and the results can be fed back to the physical entity, thus providing a basis for decision-making by the physical entity.
  • the digital twin network is equipped with virtual twins of real base stations and other network equipment.
  • the digital twin network can generate and execute at least one third service experience guarantee strategy according to the parameter requirements of the target intention, and at the same time perceive Relevant performance index parameters in the process of executing each third service experience guarantee strategy.
  • the third service experience guarantee strategy updates the first service experience guarantee strategy.
  • the third service experience guarantee strategy is applied to replace the first service experience guarantee strategy, thereby completing the update of the first service experience guarantee strategy.
  • a third service experience guarantee strategy that can make the performance index parameters meet the parameter requirements of the target intention is explored, and based on the third service
  • the experience guarantee strategy updates the first business experience guarantee strategy.
  • the network management system only needs to determine the first service experience guarantee strategy based on the optimization results of the digital twin network. Just update it, thereby realizing real-time updating of the first business experience assurance strategy according to the target intention, and providing automatic and closed-loop protection of the target intention throughout the life cycle.
  • the step of optimizing according to the target intention is performed in the digital twin network.
  • the third service experience guarantee strategy is then performed The policy updates the first service experience guarantee policy, thereby reducing the frequency of updating the service experience guarantee policy on the physical entity of the network device, avoiding resource waste, and ensuring that the user network experience will not be affected by the update of the first service experience guarantee policy. be greatly affected.
  • step S102 it also includes:
  • Step S401 feedback semantic understanding information based on feature information
  • Step S402 Obtain the supplementary feature information returned based on the semantic understanding information to update the feature information.
  • the system will feedback semantic understanding information to the user based on the feature information.
  • the semantic understanding information has In the event of an error, the supplementary feature information input by the user again will be obtained to update the feature information, and the semantic understanding information will be fed back again with the updated feature information until the user confirms that the semantic understanding information is correct and no more supplementary feature information will be input.
  • the embodiments of this application ensure that the system can unambiguously understand the target intention through human-computer interaction.
  • the feature information extracted from the target intention is incomplete, and the feature information lacks at least one of the guaranteed area parameter, guaranteed business type parameter, guaranteed target parameter and guaranteed time period parameter.
  • the system will complete the feature information according to the first preset algorithm, and feed back the semantic understanding information based on the completed feature information.
  • the obtained target intention is "to improve the experience of application A”
  • the characteristic information that the system can extract from it is only the guaranteed service type "A application” but lacks the guaranteed time period, guaranteed area and Guarantee target. In this case, the system will automatically complete the characteristic information.
  • the guarantee period is "start immediately until the intention changes"
  • the guarantee area is “all 5G base stations in area A”
  • the guarantee goal is "three-level guarantee”.
  • the system will feedback semantic understanding information such as "Do you mean to immediately enable application A's level three guarantee for all 5G base stations in area A until the intention changes?".
  • the system will guide the user to input a clear goal intention based on the first preset algorithm.
  • step S103 includes but is not limited to the following steps:
  • Step S501 Generate and execute at least a fourth service experience guarantee based on the characteristic information in the preset digital twin network. obstacle strategy;
  • Step S502 Determine the achievability probability of the target intention based on the execution result of the fourth business experience guarantee strategy.
  • the digital twin network can generate and execute at least one fourth business experience assurance strategy based on the characteristic information. Since the digital twin network is a mapping of the system in the digital world, executing the fourth business experience assurance strategy in the digital twin network is It is a highly reproducible simulation of executing the fourth business experience assurance strategy on the physical entity side of the system. Through the execution results of the fourth business experience assurance strategy in the digital twin network, the achievability probability of the target intention can be determined.
  • the fifth service experience will also be included when building the digital twin network.
  • the assurance strategy is mapped to the digital twin network.
  • the fourth service experience assurance is implemented in the digital twin network. Before the strategy, constraints need to be added.
  • the fourth service experience guarantee strategy needs to be executed under the constraint of not reducing the achievability probability of the fifth service experience guarantee strategy, and the achievability probability of the target intention is determined based on the execution result of the fourth service experience guarantee strategy at this time. Based on this, it is ensured that there is no conflict between the target intention and the activated intention.
  • step S103 also includes but is not limited to the following steps:
  • Step S601 Feed back adjustment suggestion information when the achievable probability is less than the first preset threshold
  • Step S602 Obtain the confirmation adjustment information returned based on the adjustment suggestion information
  • Step S603 When the adjustment information is confirmed to be preset confirmation information, the feature information is adjusted according to the adjustment suggestion information so that the achievable probability of the target intention is greater than the first preset threshold.
  • the system analyzes historical data or analyzes through machine learning algorithms, etc. , find the second intention that is close to the target intention and has an achievable probability greater than the first preset threshold, and adjust the suggestion information based on the second intention feedback, as in the following example.
  • the target intention is to "enable B application experience guarantee for all 5G base stations in area B from 09:00 to 21:00 every Monday to Friday, and ensure that their MOS value has a 100% probability of being greater than or equal to 4."
  • the achievability probability of the goal intention is low and lower than the first preset threshold. At this time, it is determined that the goal intention cannot be achieved.
  • the second intention is obtained based on historical data analysis or machine learning algorithm analysis: "Enable B application experience guarantee for all 5G base stations in area B from 09:00 to 21:00 every Monday to Friday, and use PRB in the uplink and downlink of the community ( When the Physical Resource Block (Physical Resource Block) utilization is less than 50%, ensure that its MOS value is 99% likely to be greater than or equal to 4; when the uplink and downlink PRB (Physical Resource Block) utilization of the community is less than 80%, ensure that The 95% probability of its MOS value is greater than or equal to 3.5; when the uplink or downlink PRB (Physical Resource Block, physical resource block) utilization rate of the cell is greater than 80%, ensure that the 95% probability of its MOS value is greater than or equal to 3.”
  • the second intention is fed back to the user as adjustment suggestion information, and then the confirmation adjustment information returned by the user based on the adjustment suggestion information is obtained.
  • the confirmation adjustment information is preset confirmation information, that is, the confirmation adjustment information contains information that agrees with the semantics of the adjustment. , update the characteristic information according to the adjustment recommendation information, and perform the subsequent steps of generating the first service experience guarantee strategy according to the updated characteristic information.
  • the achievable probability of the target intention is less than the first preset threshold
  • analysis based on historical data or machine learning algorithm analysis is used to find a method that is closer to the target intention, and the achievable probability is greater than
  • the second intention of the first preset threshold is adjusted according to the second intention feedback. Therefore, when the user's target intention cannot be achieved, a solution that is similar and achievable to the target intention is recommended to the user, which improves the user's experience.
  • the embodiment of the present application also discloses an electronic device 700.
  • the electronic device 700 includes: a memory 710 and one or more processors 720.
  • a processor 720 and a memory 710 are taken as an example.
  • the processor 720 and the memory 710 may be connected through a bus 730 or other means. In FIG. 7 , the connection through the bus is taken as an example.
  • the memory 710 can be used to store non-transitory software programs and non-transitory computer executable programs, such as the business experience guarantee method in the above embodiments of the present application.
  • the processor 720 implements the above-mentioned service experience guarantee method in the embodiment of the present application by running non-transient software programs and programs stored in the memory 710 . For example, perform the above steps S101 to step S106 in Figure 1, step S201 to step S202 in Figure 2, step S301 to step S303 in Figure 3, step S401 to step S402 in Figure 4, and step S501 to step S501 in Figure 5.
  • S502 step S601 to step S603 in Figure 6 .
  • the target intention By obtaining the target intention; extracting feature information from the target intention; determining the achievability probability of the target intention based on the feature information; when the achievability probability is greater than the first preset threshold, generating the first business experience guarantee strategy based on the feature information; monitoring The performance index parameters during the execution of the first business experience guarantee strategy; when the performance index parameters do not meet the parameter requirements, adjust the first business experience guarantee strategy so that the performance index parameters meet the parameter requirements of the target intention.
  • a business experience guarantee strategy is generated based on the user intention, and the execution process of the business experience guarantee strategy is monitored.
  • the business experience guarantee strategy will be updated in a timely manner, thereby achieving closed-loop business experience guarantee for the entire life cycle of the target intention.
  • the memory 710 may include a stored program area and a stored data area, wherein the stored program area may store an operating system and an application program required for at least one function; the stored data area may store data required to execute the business experience guarantee method in the embodiment of the present application. data, etc.
  • memory 710 may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device.
  • the memory may include memory located remotely from the processor, and these remote memories may be connected to the electronic device through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.
  • the non-transitory software programs and programs required to implement the above-mentioned business experience guarantee method in the embodiment of the present application are stored in the memory 710.
  • the above-mentioned business experience guarantee in the embodiment of the present application is executed. method.
  • embodiments of the present application also provide a computer-readable storage medium.
  • the computer-readable storage medium stores a computer-executable program.
  • the computer-executable program is executed by one or more control processors. For example, execute the above figure. Step S101 to step S106 in 1, step S201 to step S202 in Figure 2, step S301 to step S303 in Figure 3, step S401 to step S402 in Figure 4, step S501 to step S502 in Figure 5, Figure 6 Steps S601 to S603 in .
  • the target intention By obtaining the target intention; extracting feature information from the target intention; determining the achievability probability of the target intention based on the feature information; when the achievability probability is greater than the first preset threshold, generating the first business experience guarantee strategy based on the feature information; monitoring The performance index parameters during the execution of the first business experience guarantee strategy; when the performance index parameters do not meet the parameter requirements, adjust the first business experience guarantee strategy so that the performance index parameters meet the parameter requirements of the target intention.
  • a business experience guarantee strategy is generated based on the user intention, and the execution process of the business experience guarantee strategy is monitored.
  • the business experience guarantee strategy will be updated in a timely manner, thereby achieving closed-loop business experience guarantee for the entire life cycle of the target intention.
  • Embodiments of the present application provide a service experience guarantee method, electronic device, and computer-readable storage medium.
  • the method includes: obtaining a target intention; extracting feature information from the target intention; determining an achievable probability of the target intention based on the feature information; when the achievable probability is greater than a first preset threshold, based on the generate the first service experience guarantee strategy from the characteristic information; monitor the performance index parameters during the execution of the first service experience guarantee strategy; and adjust the first service experience guarantee strategy when the performance index parameters do not meet the parameter requirements.
  • a business experience guarantee strategy so that the performance indicator parameters meet the parameter requirements of the target intention.
  • a business experience guarantee strategy is generated based on the user intention, and the execution process of the business experience guarantee strategy is monitored.
  • the business experience guarantee strategy will be adjusted in a timely manner, thereby achieving closed-loop guarantee for the entire life cycle of the target intention.
  • the embodiment of this application converts the achievable target intention into a business experience guarantee strategy and executes it, and at the same time monitors the performance index parameters in the process of executing the business experience guarantee strategy.
  • Adjust business experience assurance strategies When it is monitored that the performance index parameters do not meet the parameter requirements of the target intention, Adjust business experience assurance strategies. This enables us to generate and adjust business experience assurance strategies based on target intentions, meet user needs while avoiding SLA breaches, and provide automatic, closed-loop assurance for business experience.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disk (DVD) or other optical disk storage, magnetic cassettes, tapes, disk storage or other magnetic storage devices, or may Any other medium used to store the desired information and that can be accessed by a computer.
  • communication media typically embodies a computer-readable program, data structure, program module or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

Abstract

Provided in the embodiments of the present application are a service experience guarantee method, an electronic device and a computer-readable storage medium. The method comprises: acquiring a target intention (S101); extracting feature information from the target intention (S102); determining, according to the feature information, the probability of achieving the target intention (S103); when the probability is greater than a first preset threshold value, generating a first service experience guarantee policy according to the feature information (S104); monitoring a performance index parameter during the process of executing the first service experience guarantee policy (S105); and if the performance index parameter does not meet a parameter requirement, updating the first service experience guarantee policy, such that the performance index parameter meets the parameter requirement of the target intention (S106).

Description

业务体验保障方法、电子设备和计算机可读存储介质Business experience guarantee method, electronic device and computer-readable storage medium
相关申请的交叉引用Cross-references to related applications
本申请基于申请号为202210991248.3、申请日为2022年08月18日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。This application is filed based on a Chinese patent application with application number 202210991248.3 and a filing date of August 18, 2022, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated by reference into this application.
技术领域Technical field
本申请实施例涉及但不限于网络管理技术领域，特别涉及一种业务体验保障方法、电子设备和计算机可读存储介质。Embodiments of the present application relate to but are not limited to the field of network management technology, and in particular, to a service experience guarantee method, electronic equipment, and computer-readable storage media.
背景技术Background technique
传统5G网络基于5QI和NSSAI(Network Slice Selection Assistance Information，网络切片选择协助信息)及关联静态人工配置参数实现不同业务差异化保障。但商用部署中，大部分QoS需求大相径庭的业务被分配了相同的5QI和NSSAI。同时，静态人工配置参数也无法适应时变的无线信道环境以及小区状态。因此，业务QoS(服务质量)需求无法满足用户需求或SLA(service level agreement服务等级协议)违约在5G通信网络中时有发生。Traditional 5G networks are based on 5QI and NSSAI (Network Slice Selection Assistance Information) and associated static manual configuration parameters to achieve differentiated guarantees for different services. However, in commercial deployment, most services with widely different QoS requirements are assigned the same 5QI and NSSAI. At the same time, static manual configuration parameters cannot adapt to the time-varying wireless channel environment and cell status. Therefore, business QoS (quality of service) requirements cannot meet user needs or SLA (service level agreement) breaches often occur in 5G communication networks.
发明内容Contents of the invention
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。The following is an overview of the topics described in detail in this article. This summary is not intended to limit the scope of the claims.
本申请实施例提供了一种业务体验保障方法、电子设备和计算机可读存储介质。Embodiments of the present application provide a service experience guarantee method, electronic device, and computer-readable storage medium.
本申请实施例的第一方面提出一种业务体验保障方法，方法包括：获取目标意图；从所述目标意图中提取特征信息；根据所述特征信息确定所述目标意图的可达成概率；在所述可达成概率大于第一预设阈值的情况下，根据所述特征信息生成所述第一业务体验保障策略；监控所述第一业务体验保障策略执行过程中的性能指标参数；在所述性能指标参数不满足所述参数需求的情况下，调整所述第一业务体验保障策略，以使所述性能指标参数满足所述目标意图的参数需求。The first aspect of the embodiment of the present application proposes a business experience guarantee method. The method includes: obtaining a target intention; extracting feature information from the target intention; determining the achievable probability of the target intention based on the feature information; When the achievable probability is greater than the first preset threshold, generate the first service experience guarantee strategy according to the characteristic information; monitor the performance index parameters during the execution of the first service experience guarantee strategy; If the indicator parameters do not meet the parameter requirements, the first service experience guarantee strategy is adjusted so that the performance indicator parameters meet the parameter requirements of the target intention.
本申请实施例的第二方面提出一种电子设备，包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其中，所述处理器执行所述计算机程序时实现如第一方面所述的业务体验保障方法。A second aspect of the embodiment of the present application proposes an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following is implemented: The business experience guarantee method described in the first aspect.
本申请实施例的第三方面提出一种计算机可读存储介质，所述计算机可读存储介质存储有计算机可执行程序，所述计算机可执行程序用于使计算机执行如第一方面所述的业务体验保障方法。A third aspect of the embodiment of the present application proposes a computer-readable storage medium that stores a computer-executable program, and the computer-executable program is used to cause the computer to perform the services described in the first aspect. Experience guaranteed methods.
本申请的其它特征和优点将在随后的说明书中阐述，并且，部分地从说明书中变得显而易见，或者通过实施本申请而了解。本申请的目的和其他优点可通过在说明书、权利要求书以及附图中所特别指出的结构来实现和获得。Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the application. The objectives and other advantages of the application may be realized and obtained by the structure particularly pointed out in the specification, claims and appended drawings.
附图说明 Description of the drawings
图1是本申请一个实施例提供的一种业务体验保障方法的流程图；Figure 1 is a flow chart of a service experience guarantee method provided by an embodiment of the present application;
图2是本申请一个实施例提供的一种业务体验保障方法的子流程图；Figure 2 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application;
图3是本申请一个实施例提供的一种业务体验保障方法的子流程图；Figure 3 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application;
图4是本申请一个实施例提供的一种业务体验保障方法的子流程图；Figure 4 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application;
图5是本申请一个实施例提供的一种业务体验保障方法的子流程图；Figure 5 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application;
图6是本申请一个实施例提供的一种业务体验保障方法的子流程图；Figure 6 is a sub-flow chart of a service experience guarantee method provided by an embodiment of the present application;
图7是本申请一个实施例提供的一种电子设备的***框图。Figure 7 is a system block diagram of an electronic device provided by an embodiment of the present application.
附图用来提供对本申请技术方案的进一步理解，并且构成说明书的一部分，与本申请的实施例一起用于解释本申请的技术方案，并不构成对本申请技术方案的限制。The drawings are used to provide a further understanding of the technical solution of the present application and constitute a part of the specification. They are used to explain the technical solution of the present application together with the embodiments of the present application and do not constitute a limitation of the technical solution of the present application.
具体实施方式Detailed ways
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的实施例仅用以解释本申请，并不用于限定本申请。In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the embodiments described here are only used to explain the present application and are not used to limit the present application.
应了解，在本申请实施例的描述中，多个(或多项)的含义是两个以上，大于、小于、超过等理解为不包括本数，以上、以下、以内等理解为包括本数。如果有描述到“第一”、“第二”等只是用于区分技术特征为目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量或者隐含指明所指示的技术特征的先后关系。It should be understood that in the description of the embodiments of the present application, the meaning of multiple (or multiple items) is two or more. Greater than, less than, exceeding, etc. are understood to exclude the number, and above, below, within, etc. are understood to include the number. If there are descriptions of "first", "second", etc., they are only used for the purpose of distinguishing technical features and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the indicated technical features. The sequence relationship of technical features.
本申请实施例提供了一种业务体验保障方法、电子设备和计算机可读存储介质。方法包括：获取目标意图；从目标意图中提取特征信息；根据特征信息确定目标意图的可达成概率；在可达成概率大于第一预设阈值的情况下，根据特征信息生成第一业务体验保障策略；监控第一业务体验保障策略执行过程中的性能指标参数；在性能指标参数不满足参数需求的情况下，调整第一业务体验保障策略，以使性能指标参数满足目标意图的参数需求。首先，通过获取目标意图，并判断目标意图的可达成概率，在目标意图的可达成概率大于预设阈值的情况下，根据用户意图生成业务体验保障策略，并监控业务体验保障策略的执行过程中的性能指标参数，当出现性能指标参数不满足目标意图的参数需求的情况时，及时调整业务体验保障策略，由此实现对目标意图全生命周期的闭环业务体验保障。Embodiments of the present application provide a service experience guarantee method, electronic device, and computer-readable storage medium. The method includes: obtaining the target intention; extracting feature information from the target intention; determining the achievability probability of the target intention based on the feature information; and generating a first business experience guarantee strategy based on the feature information when the achievability probability is greater than a first preset threshold. ; Monitor the performance indicator parameters during the execution of the first service experience guarantee strategy; when the performance indicator parameters do not meet the parameter requirements, adjust the first service experience guarantee strategy so that the performance indicator parameters meet the parameter requirements of the target intention. First, by obtaining the target intention and judging the achievability probability of the target intention, when the achievability probability of the target intention is greater than the preset threshold, a business experience guarantee strategy is generated based on the user intention, and the execution process of the business experience guarantee strategy is monitored. When the performance index parameters do not meet the parameter requirements of the target intention, the business experience guarantee strategy will be adjusted in a timely manner, thereby achieving closed-loop business experience guarantee for the entire life cycle of the target intention.
参照图1，图1是本申请实施例提供的一种业务体验保障方法的流程图，业务体验保障方法包括：Referring to Figure 1, Figure 1 is a flow chart of a service experience guarantee method provided by an embodiment of the present application. The service experience guarantee method includes:
S101，获取目标意图；S101, obtain target intention;
S102，从目标意图中提取特征信息；S102, extract feature information from target intent;
S103，根据特征信息确定目标意图的可达成概率；S103, determine the achievable probability of the target intention based on the characteristic information;
S104，在可达成概率大于第一预设阈值的情况下，根据特征信息生成第一业务体验保障策略；S104: When the achievable probability is greater than the first preset threshold, generate a first service experience guarantee strategy based on the characteristic information;
S105，监控第一业务体验保障策略执行过程中的性能指标参数；S105, monitor the performance index parameters during the execution of the first service experience guarantee strategy;
S106，在性能指标参数不满足目标意图的参数需求的情况下，更新第一业务体验保障策略，以使性能指标参数满足目标意图的参数需求。S106: When the performance indicator parameters do not meet the parameter requirements of the target intention, update the first service experience guarantee policy so that the performance indicator parameters meet the parameter requirements of the target intention.
可以理解的是，获取目标意图可以是指获取用户输入的带有目标意图的语音消息，也可以是获取用户通过键盘输入的带有目标意图的文本信息。 It can be understood that obtaining the target intention may refer to obtaining a voice message with the target intention input by the user, or may refer to obtaining text information with the target intention input by the user through the keyboard.
可以理解的是，特征信息可以包括：保障目标、保障区域、保障时间段和保障业务类型中的至少一个，在一些实施例中，可以通过语音识别技术从用户输入的语音信息中提取关键字作为特征信息，或者通过检测文本信息中的关键字作为特征信息，在一些可行的实施例中，还可以通过自然语言处理技术处理用户输入的语音信息或文本信息，从中提取特征信息。It can be understood that the characteristic information may include: at least one of a guarantee target, a guarantee area, a guarantee time period, and a guarantee service type. In some embodiments, keywords may be extracted from the voice information input by the user through speech recognition technology as Feature information, or by detecting keywords in text information as feature information. In some feasible embodiments, the voice information or text information input by the user can also be processed through natural language processing technology to extract feature information.
可以理解的是，在提取到特征信息后，通过机器学习算法可以根据特征信息确定用户输入的目标意图的可达成概率，比如，目标意图为“A区域内所有5G基站即刻使能A软件应用二级保障”,从中可以提取特征信息如下：保障区域为“A区域内所有5G基站”、保障时间段为“即刻开始直至意图变更”、保障业务类型为“A应用”、保障目标为“二级保障”，可以理解的是，***可以预设好不同级别的业务保障能力，比如预设有一级保障、二级保障和三级保障，其中一级保障是最高等级保障，即保障业务类型所对应的业务可以无限制抢占非保障业务的无线空口资源和算力资源，并且无需考虑对其它非保障业务的干扰，同时支持对该业务的调度策略和算法寻优；二级保障是中级保障，即保障业务类型对应的业务可以抢占其它非GBR(Guaranteed Bit Rate，保证比特速率)或非PBR(Prioritised Bit Rate,优先比特速率)的无线空口资源，同时支持对该业务的调度策略和算法寻优；三级保障则是最低等级保障，即与保障业务类型对应的业务不可以抢占其它业务的无线空口资源，但支持对该业务的调度策略和算法寻优。***可以通过机器学习算法，根据上述特征信息结合历史数据进行分析，可以得到该目标意图的可达成概率为100％，大于第一预设阈值。在一些实施例中，还可以通过数字孪生网络技术判断目标意图的可达成概率。It can be understood that after extracting the feature information, the machine learning algorithm can determine the achievability probability of the target intention input by the user based on the feature information. For example, the target intention is "All 5G base stations in area A immediately enable software application A II." Level Guarantee", from which the characteristic information can be extracted as follows: the guarantee area is "all 5G base stations in area A", the guarantee period is "starting immediately until the intention changes", the guarantee business type is "A application", and the guarantee target is "Level 2" Guarantee. It is understandable that the system can preset different levels of business guarantee capabilities, such as first-level guarantee, second-level guarantee and third-level guarantee. Among them, the first-level guarantee is the highest level of guarantee, that is, the guarantee business type corresponds to The business can preempt the wireless air interface resources and computing power resources of non-guaranteed services without restrictions, and there is no need to consider interference with other non-guaranteed services. At the same time, it supports the optimization of scheduling strategies and algorithms for this business; the second-level guarantee is the intermediate guarantee, that is, It ensures that services corresponding to the service type can seize other non-GBR (Guaranteed Bit Rate, guaranteed bit rate) or non-PBR (Prioritised Bit Rate, priority bit rate) wireless air interface resources, and at the same time supports the optimization of scheduling strategies and algorithms for this service; Level 3 guarantee is the lowest level of guarantee, that is, the service corresponding to the guaranteed service type cannot seize the wireless air interface resources of other services, but supports the optimization of scheduling strategies and algorithms for this service. The system can use machine learning algorithms to analyze based on the above characteristic information combined with historical data, and can obtain that the achievability probability of the target intention is 100%, which is greater than the first preset threshold. In some embodiments, the achievability probability of the target intention can also be determined through digital twin network technology.
可以理解的是，在目标意图的可达成概率大于第一预设阈值的情况下，根据特征信息生成第一业务体验保障策略，在一些实施例中，可以通过预设的静态规则，也可以通过动态寻优的方法根据特征信息生成业务体验保障策略，比如，当特征信息如下：保障区域为“A区域内所有5G基站”、保障时间段为“即刻开始直至意图变更”、保障业务类型为“A应用”、保障目标为“二级保障”时，由于***内已预设好不同级别的业务保障能力，针对上述特征信息存在明确的达成路径，基于此通过预设的静态规则可以直接生成对应的第一业务体验保障策略。在一些实施例中，目标意图也可能是达成路径不明确的意图，此时则可以通过机器学***台中进行寻优以生成第一业务体验保障策略。基于此，实现从目标意图到业务体验保障策略的自动转译。It can be understood that when the achievable probability of the target intention is greater than the first preset threshold, the first business experience guarantee policy is generated according to the characteristic information. In some embodiments, this can be done through preset static rules or through The dynamic optimization method generates a service experience guarantee strategy based on characteristic information. For example, when the characteristic information is as follows: the guarantee area is "all 5G base stations in area A", the guarantee time period is "starting immediately until the intention changes", and the guarantee business type is " A application" and the assurance target is "Level 2 assurance", since different levels of business assurance capabilities have been preset in the system, there is a clear path to achieve the above characteristic information. Based on this, the corresponding response can be directly generated through the preset static rules. The first business experience guarantee strategy. In some embodiments, the target intention may also be an intention whose achievement path is unclear. In this case, the corresponding first business experience guarantee strategy can be generated through a machine learning algorithm. In some embodiments, this can also be done in the digital twin platform. Search for optimization to generate the first business experience assurance strategy. Based on this, automatic translation from target intent to business experience assurance strategy is achieved.
可以理解的是，在根据特征信息生成对应的第一业务体验保障策略之后，会执行该策略，其中，第一业务体验保障策略执行过程包括：识别与保障区域、保障业务类型、保障时间段对应的数据流；根据与保障目标对应的预设调度算法确定数据流的传输性能参数。在一些实施例中，对A区域内的所有基站下发指令，通过业务识别技术识别在保障时间段内，即从“即刻开始直至意图变更”这个时间段内，由“A应用”发出的报文，并对该报文赋予特定的标签，根据与保障目标对应的预设调度算法对带有标签的报文赋予对应的调度优先级或上行功控参数。其中，业务识别技术可以通过基于IP五元组的方式实现，也可以通过机器学习算法构建业务特征库的方式实现。It can be understood that after the corresponding first service experience guarantee policy is generated according to the characteristic information, the policy will be executed. The execution process of the first service experience guarantee policy includes: identifying and corresponding guarantee areas, guarantee service types, and guarantee time periods. data flow; determine the transmission performance parameters of the data flow according to the preset scheduling algorithm corresponding to the guarantee goal. In some embodiments, instructions are issued to all base stations in area A, and service identification technology is used to identify the reports sent by "A application" within the guaranteed time period, that is, from "immediately until the intention changes". message, and assign a specific label to the message. According to the preset scheduling algorithm corresponding to the guarantee target, the corresponding scheduling priority or uplink power control parameter is assigned to the labeled message. Among them, the business identification technology can be implemented based on IP quintuple, or it can be implemented by building a business feature library through machine learning algorithms.
可以理解的是，在第一业务体验保障策略的执行过程中，可能由于对目标意图的可达成概率的错误预判，或由于外界环境以及硬件性能恶化等因素影响，导致在实际执行第一业务体验保障策略的过程中性能指标参数无法满足目标意图的参数需求。基于此，需要监控与第 一业务体验保障策略相关的性能指标参数，在一些实施例中，即监控与保障区域、保障业务类型、保障时间段对应的数据流的传输性能性能参数。在检测到性能指标参数无法满足目标意图的需求时，应当及时调整策略，在一些实施例中，可以通过预设规则调整第一业务体验保障策略进行保障，也可以通过机器学***台，并在数字孪生平台上执行至少一个第二业务体验保障策略，再将其中性能指标参数足以满足目标意图的参数需求的第二业务体验保障策略返回至***以调整第一业务体验保障策略。基于此，通过在执行第一业务体验保障策略的过程中，监控性能指标参数，当出现性能指标参数无法满足目标意图的参数需求时，及时更新第一业务体验保障策略。It is understandable that during the execution of the first service experience guarantee strategy, the actual execution of the first service may be delayed due to incorrect prediction of the probability of achieving the target intention, or due to factors such as external environment and deterioration of hardware performance. In the process of experiencing the guarantee strategy, the performance indicator parameters cannot meet the parameter requirements of the target intent. Based on this, it is necessary to monitor and 1. Performance index parameters related to the service experience guarantee strategy. In some embodiments, that is, monitoring the transmission performance performance parameters of the data flow corresponding to the guarantee area, guarantee service type, and guarantee time period. When it is detected that the performance indicator parameters cannot meet the requirements of the target intention, the strategy should be adjusted in time. In some embodiments, the first business experience guarantee strategy can be adjusted through preset rules for guarantee, or it can be determined through automatic optimization through machine learning algorithms. A better strategy can be used to adjust the first business experience assurance strategy. Digital twin technology can also be used to map the existing external environment and hardware performance to the digital twin platform, and implement at least one second business experience assurance strategy on the digital twin platform, and then Return the second service experience guarantee strategy in which the performance index parameters are sufficient to meet the parameter requirements of the target intent to the system to adjust the first service experience guarantee strategy. Based on this, by monitoring the performance index parameters during the execution of the first service experience guarantee strategy, when the performance index parameters cannot meet the parameter requirements of the target intention, the first service experience guarantee strategy is updated in a timely manner.
在本申请实施例中，获取目标意图后，从中提取特征信息，再通过特征信息确定目标意图的可达成概率，在确定目标意图可达成之后，***可以自动将意图转译为业务体验保障策略，并在执行业务体验保障策略的过程中，实时监控相关的性能指标参数，当监控到性能指标参数无法满足目标意图的参数需求时，通过预设规则、机器学习算法或数字孪生技术中的至少一个对业务体验保障策略进行更新，以使性能指标参数可以满足目标意图的参数需求，基于此，实现在确定目标意图为可达成意图之后，***可以自动将意图转译为业务体验保障策略，并在执行业务体验保障策略的过程中实时监控相关的性能指标参数，在性能指标参数恶化时更新业务体验保障策略，实现对目标意图提供全生命周期的自动、闭环的业务体验保障。In the embodiment of this application, after obtaining the target intention, extract the characteristic information from it, and then determine the achievability probability of the target intention through the characteristic information. After determining that the target intention is achievable, the system can automatically translate the intention into a business experience guarantee strategy, and In the process of executing the business experience guarantee strategy, relevant performance indicator parameters are monitored in real time. When it is monitored that the performance indicator parameters cannot meet the parameter requirements of the target intention, at least one of the preset rules, machine learning algorithms, or digital twin technology is used to The business experience guarantee strategy is updated so that the performance indicator parameters can meet the parameter requirements of the target intention. Based on this, after determining that the target intention is an achievable intention, the system can automatically translate the intention into a business experience guarantee strategy and execute the business During the process of experience guarantee strategy, relevant performance index parameters are monitored in real time, and the business experience guarantee strategy is updated when the performance index parameters deteriorate, so as to provide full life cycle automatic and closed-loop business experience guarantee for target intentions.
参照图2，在一些实施例中，步骤S104包括但不限于如下步骤：Referring to Figure 2, in some embodiments, step S104 includes but is not limited to the following steps:
步骤S201，根据特征信息在预设的数字孪生网络中生成并执行至少一个第二业务体验保障策略；Step S201: Generate and execute at least one second service experience guarantee policy in the preset digital twin network according to the characteristic information;
步骤S202，根据第二业务体验保障策略的执行结果从第二业务体验保障策略中确定第一业务体验保障策略。Step S202: Determine the first service experience guarantee strategy from the second service experience guarantee strategy according to the execution result of the second service experience guarantee strategy.
可以理解的是，数字孪生网络会根据特征信息进行动态寻优，生成至少一个第二业务体验保障策略，同时在数字孪生网络中执行第二业务体验保障策略，从中确定执行结果最优的策略作为第一业务体验保障策略，需要指出的是，数字孪生网络是物理***在数字世界中映射，***的物理实体所执行的其他业务也会映射到数字孪生网络中，在数字孪生网络中执行第二业务体验保障策略时会对执行中的其他业务造成影响，上述执行结果最优的策略是指在满足目标意图的前提下，对其他业务的性能指标参数影响最小的策略。It can be understood that the digital twin network will perform dynamic optimization based on the characteristic information, generate at least one second service experience guarantee strategy, and at the same time execute the second service experience guarantee strategy in the digital twin network, and determine the strategy with the best execution result as The first business experience guarantee strategy. It should be pointed out that the digital twin network is a mapping of the physical system in the digital world. Other services performed by the physical entities of the system will also be mapped to the digital twin network. The second is executed in the digital twin network. The business experience guarantee strategy will have an impact on other businesses being executed. The above-mentioned strategy with the best execution results refers to the strategy that has the least impact on the performance index parameters of other businesses on the premise of meeting the target intent.
参照图3，在一些实施例中，步骤S106包括但不限于如下步骤：Referring to Figure 3, in some embodiments, step S106 includes but is not limited to the following steps:
步骤S301，根据目标意图的参数需求在数字孪生网络中生成并执行至少一个第三业务体验保障策略；Step S301: Generate and execute at least one third service experience guarantee strategy in the digital twin network according to the parameter requirements of the target intention;
步骤S302，监控第三业务体验保障策略执行过程中的性能指标参数；Step S302: Monitor the performance index parameters during the execution of the third service experience guarantee strategy;
步骤S303，根据性能指标参数满足参数需求的第三业务体验保障策略更新第一业务体验保障策略。Step S303: Update the first service experience guarantee policy according to the third service experience guarantee policy whose performance index parameters meet parameter requirements.
可以理解的是，数字孪生网络是一种在数字世界建立物理网络实体的虚拟孪生体的技术，数字孪生网络可以实时感知物理实体并随物理实体而演变，随着物理实体的状态以及运行环境变化而同步演变，基于此，可以在数字孪生网络上进行仿真、预测、判断，并将结果反馈至物理实体，由此为物理实体决策提供依据。 It can be understood that the digital twin network is a technology that establishes a virtual twin of a physical network entity in the digital world. The digital twin network can perceive the physical entity in real time and evolve with the physical entity, as the state of the physical entity and the operating environment change. Synchronous evolution, based on this, can be simulated, predicted, and judged on the digital twin network, and the results can be fed back to the physical entity, thus providing a basis for decision-making by the physical entity.
可以理解的是，数字孪生网络中设置有对现实中的基站以及其它网络设备的虚拟孪生体，数字孪生网络中可以根据目标意图的参数需求生成并执行至少一个第三业务体验保障策略，同时感知执行每个第三业务体验保障策略的过程中的相关性能指标参数，当确定某一第三业务体验保障策略在被执行时可使相关的性能指标参数满足目标意图的参数需求时，根据该第三业务体验保障策略更新第一业务体验保障策略，在一些实施例中，即应用第三业务体验保障策略取代第一业务体验保障策略，由此完成对第一业务体验保障策略的更新。It can be understood that the digital twin network is equipped with virtual twins of real base stations and other network equipment. The digital twin network can generate and execute at least one third service experience guarantee strategy according to the parameter requirements of the target intention, and at the same time perceive Relevant performance index parameters in the process of executing each third service experience guarantee strategy. When it is determined that a certain third service experience guarantee strategy can make the relevant performance index parameters meet the parameter requirements of the target intention when it is executed, according to the third service experience guarantee strategy The third service experience guarantee strategy updates the first service experience guarantee strategy. In some embodiments, the third service experience guarantee strategy is applied to replace the first service experience guarantee strategy, thereby completing the update of the first service experience guarantee strategy.
在本申请实施例中，通过在数字孪生网络中根据目标意图的参数需求进行动态寻优，探索能使性能指标参数满足目标意图的参数需求的第三业务体验保障策略，并根据该第三业务体验保障策略更新第一业务体验保障策略。基于此，在数字孪生网络中完成根据目标意图的参数需求进行寻优并确定第三业务体验保障策略的过程，网络管理***只需根据数字孪生网络的的寻优结果对第一业务体验保障策略进行更新即可，由此实现根据目标意图实时更新第一业务体验保障策略，对目标意图提供全生命周期的自动、闭环的保障。In the embodiment of this application, by dynamically optimizing according to the parameter requirements of the target intention in the digital twin network, a third service experience guarantee strategy that can make the performance index parameters meet the parameter requirements of the target intention is explored, and based on the third service The experience guarantee strategy updates the first business experience guarantee strategy. Based on this, in the digital twin network, the process of optimizing according to the parameter requirements of the target intention and determining the third service experience guarantee strategy is completed. The network management system only needs to determine the first service experience guarantee strategy based on the optimization results of the digital twin network. Just update it, thereby realizing real-time updating of the first business experience assurance strategy according to the target intention, and providing automatic and closed-loop protection of the target intention throughout the life cycle.
可以理解的是，若在网络设备的物理实体中频繁调整业务体验保障策略进行寻优以满足目标意图的参数需求，会对基站等网络设备造成巨大的资源浪费，同时对用户的网络体验造成巨大的影响，在本申请实施例中，在数字孪生网络中进行根据目标意图寻优的步骤，在确定第三业务体验保障策略足以满足目标意图的参数需求的情况下，再根据第三业务体验保障策略更新第一业务体验保障策略，由此降低了在网络设备的物理实体上更新业务体验保障策略的频次，避免了资源浪费，同时保证用户网络体验不会因第一业务体验保障策略的更新而受到较大影响。It is understandable that if the business experience guarantee strategy is frequently adjusted in the physical entity of the network equipment for optimization to meet the parameter requirements of the target intent, it will cause a huge waste of resources for network equipment such as base stations, and at the same time have a huge impact on the user's network experience. In the embodiment of this application, the step of optimizing according to the target intention is performed in the digital twin network. When it is determined that the third service experience guarantee strategy is sufficient to meet the parameter requirements of the target intention, the third service experience guarantee is then performed The policy updates the first service experience guarantee policy, thereby reducing the frequency of updating the service experience guarantee policy on the physical entity of the network device, avoiding resource waste, and ensuring that the user network experience will not be affected by the update of the first service experience guarantee policy. be greatly affected.
参照图4，在一些实施例中，步骤S102之后还包括：Referring to Figure 4, in some embodiments, after step S102, it also includes:
步骤S401，根据特征信息反馈语义理解信息；Step S401, feedback semantic understanding information based on feature information;
步骤S402，获取基于语义理解信息返回的补充特征信息，以更新特征信息。Step S402: Obtain the supplementary feature information returned based on the semantic understanding information to update the feature information.
可以理解的是，在获取到目标意图并从中提取到特征信息之后，为保证***可以毫无歧义地理解用户输入的目标意图，***会根据特征信息向用户反馈语义理解信息，在语义理解信息有误的情况下，会获取用户再次输入的补充特征信息，以更新特征信息，并以更新后的特征信息再次反馈语义理解信息，直至用户确认语义理解信息无误，且不再输入补充特征信息。基于此，本申请实施例通过人机交互，确保***可以无歧义地理解目标意图。It is understandable that after obtaining the target intention and extracting feature information from it, in order to ensure that the system can understand the target intention input by the user without ambiguity, the system will feedback semantic understanding information to the user based on the feature information. When the semantic understanding information has In the event of an error, the supplementary feature information input by the user again will be obtained to update the feature information, and the semantic understanding information will be fed back again with the updated feature information until the user confirms that the semantic understanding information is correct and no more supplementary feature information will be input. Based on this, the embodiments of this application ensure that the system can unambiguously understand the target intention through human-computer interaction.
可以理解的是，在一些实施例中，从目标意图中提取的特征信息并不齐全，在特征信息缺少保障区域参数、保障业务类型参数、保障目标参数和保障时间段参数中的至少一个的情况下，***会根据第一预设算法补全特征信息，并根据补全后的特征信息反馈语义理解信息。在一些实施例中，如下例，所获取到的目标意图为“提高A应用体验”，***从中能提取的特征信息仅有保障业务类型为“A应用”，而缺少保障时间段、保障区域以及保障目标，在此情况下，***会自动补全特征信息，如保障时间段为“即刻开始直至意图变更”，保障区域为“A区域所有5G基站”，保障目标为“三级保障”。根据补全后的特征信息，***会反馈语义理解信息如“您是指对A区域所有5G基站即刻开始使能A应用三级保障直至意图变更吗？”。基于此，在用户目标意图不明确的情况下，***会基于第一预设算法引导用户输入一个明确的目标意图。It can be understood that in some embodiments, the feature information extracted from the target intention is incomplete, and the feature information lacks at least one of the guaranteed area parameter, guaranteed business type parameter, guaranteed target parameter and guaranteed time period parameter. Next, the system will complete the feature information according to the first preset algorithm, and feed back the semantic understanding information based on the completed feature information. In some embodiments, as in the following example, the obtained target intention is "to improve the experience of application A", and the characteristic information that the system can extract from it is only the guaranteed service type "A application", but lacks the guaranteed time period, guaranteed area and Guarantee target. In this case, the system will automatically complete the characteristic information. For example, the guarantee period is "start immediately until the intention changes", the guarantee area is "all 5G base stations in area A", and the guarantee goal is "three-level guarantee". Based on the completed feature information, the system will feedback semantic understanding information such as "Do you mean to immediately enable application A's level three guarantee for all 5G base stations in area A until the intention changes?". Based on this, when the user's goal intention is unclear, the system will guide the user to input a clear goal intention based on the first preset algorithm.
参照图5，在一些实施例中，步骤S103包括但不限于以下步骤：Referring to Figure 5, in some embodiments, step S103 includes but is not limited to the following steps:
步骤S501，在预设的数字孪生网络中根据特征信息生成并执行至少一个第四业务体验保 障策略；Step S501: Generate and execute at least a fourth service experience guarantee based on the characteristic information in the preset digital twin network. obstacle strategy;
步骤S502，根据第四业务体验保障策略的执行结果确定目标意图的可达成概率。Step S502: Determine the achievability probability of the target intention based on the execution result of the fourth business experience guarantee strategy.
可以理解的是，数字孪生网络可以根据特征信息生成并执行至少一个第四业务体验保障策略，由于数字孪生网络是***在数字世界中的映射，在数字孪生网络中执行第四业务体验保障策略即是在***物理实体侧执行第四业务体验保障策略的高还原度仿真，通过第四业务体验保障策略在数字孪生网络中的执行结果可以确定目标意图的可达成概率。It can be understood that the digital twin network can generate and execute at least one fourth business experience assurance strategy based on the characteristic information. Since the digital twin network is a mapping of the system in the digital world, executing the fourth business experience assurance strategy in the digital twin network is It is a highly reproducible simulation of executing the fourth business experience assurance strategy on the physical entity side of the system. Through the execution results of the fourth business experience assurance strategy in the digital twin network, the achievability probability of the target intention can be determined.
可以理解的是，在一些实施例中，由于***的物理实体上已执行有至少一个根据已激活的意图生成的第五业务体验保障策略，在构建数字孪生网络时，也会将第五业务体验保障策略映射到数字孪生网络中，为保证目标意图与已激活意图之间不冲突，即网络管理***不会因为实现目标意图而导致已激活意图失效，在数字孪生网络中执行第四业务体验保障策略之前，还需要添加约束条件。即需在不降低第五业务体验保障策略的可达成概率的约束条件下执行第四业务体验保障策略，并根据此时的第四业务体验保障策略的执行结果确定目标意图的可达成概率。基于此，保证目标意图与已激活意图之间不冲突。It can be understood that in some embodiments, since at least one fifth service experience guarantee policy generated according to the activated intention has been executed on the physical entity of the system, the fifth service experience will also be included when building the digital twin network. The assurance strategy is mapped to the digital twin network. In order to ensure that there is no conflict between the target intention and the activated intention, that is, the network management system will not invalidate the activated intention because of the realization of the target intention, the fourth service experience assurance is implemented in the digital twin network. Before the strategy, constraints need to be added. That is, the fourth service experience guarantee strategy needs to be executed under the constraint of not reducing the achievability probability of the fifth service experience guarantee strategy, and the achievability probability of the target intention is determined based on the execution result of the fourth service experience guarantee strategy at this time. Based on this, it is ensured that there is no conflict between the target intention and the activated intention.
参照图6，在一些实施例中，步骤S103之后还包括但不限于如下步骤：Referring to Figure 6, in some embodiments, step S103 also includes but is not limited to the following steps:
步骤S601，在可达成概率小于第一预设阈值的情况下，反馈调整建议信息；Step S601: Feed back adjustment suggestion information when the achievable probability is less than the first preset threshold;
步骤S602，获取基于调整建议信息返回的确认调整信息；Step S602: Obtain the confirmation adjustment information returned based on the adjustment suggestion information;
步骤S603，在确认调整信息为预设确认信息的情况下，根据调整建议信息调整特征信息，以使目标意图的可达成概率大于第一预设阈值。Step S603: When the adjustment information is confirmed to be preset confirmation information, the feature information is adjusted according to the adjustment suggestion information so that the achievable probability of the target intention is greater than the first preset threshold.
可以理解的是，由于技术和硬件等方面的限制，会出现可达成概率小于第一预设阈值，即目标意图不可达成的情况，此时，***根据历史数据分析或通过机器学习算法分析等方式，查找到与目标意图较为接近，且可达成概率大于第一预设阈值的第二意图，根据第二意图反馈调整建议信息，如下例。目标意图为“对B区域所有5G基站在每周周一到周五09:00到21:00使能B应用体验保障，并确保其MOS值100％概率大于等于4”。通过如步骤S501至步骤S502的方法或机器学习算法的方法进行分析后，得到该目标意图的可达成概率较低，低于第一预设阈值，此时判断出该目标意图无法达成。通过根据历史数据分析或机器学习算法分析的方式得到第二意图“对B区域所有5G基站在每周周一到周五09:00到21:00使能B应用体验保障，在小区上下行PRB(Physical Resource Block，物理资源块)利用率均小于50％时，确保其MOS值99％概率大于等于4；在小区上下行PRB(Physical Resource Block，物理资源块)利用率均小于80％时，确保其MOS值95％概率大于等于3.5；在小区上行或下行PRB(Physical Resource Block，物理资源块)利用率大于80％时，确保其MOS值95％概率大于等于3”。将第二意图作为调整建议信息反馈至用户，此后获取用户基于调整建议信息返回的确认调整信息，当检测到确认调整信息为预设确认信息，即确认调整信息中包含同意调整的语义的信息时，根据调整建议信息更新特征信息，并根据更新后的特征信息执行后续生成第一业务体验保障策略的步骤。It is understandable that due to limitations in technology and hardware, there will be situations where the achievability probability is less than the first preset threshold, that is, the target intention cannot be achieved. At this time, the system analyzes historical data or analyzes through machine learning algorithms, etc. , find the second intention that is close to the target intention and has an achievable probability greater than the first preset threshold, and adjust the suggestion information based on the second intention feedback, as in the following example. The target intention is to "enable B application experience guarantee for all 5G base stations in area B from 09:00 to 21:00 every Monday to Friday, and ensure that their MOS value has a 100% probability of being greater than or equal to 4." After analysis through the methods of steps S501 to S502 or the machine learning algorithm, it is found that the achievability probability of the goal intention is low and lower than the first preset threshold. At this time, it is determined that the goal intention cannot be achieved. The second intention is obtained based on historical data analysis or machine learning algorithm analysis: "Enable B application experience guarantee for all 5G base stations in area B from 09:00 to 21:00 every Monday to Friday, and use PRB in the uplink and downlink of the community ( When the Physical Resource Block (Physical Resource Block) utilization is less than 50%, ensure that its MOS value is 99% likely to be greater than or equal to 4; when the uplink and downlink PRB (Physical Resource Block) utilization of the community is less than 80%, ensure that The 95% probability of its MOS value is greater than or equal to 3.5; when the uplink or downlink PRB (Physical Resource Block, physical resource block) utilization rate of the cell is greater than 80%, ensure that the 95% probability of its MOS value is greater than or equal to 3." The second intention is fed back to the user as adjustment suggestion information, and then the confirmation adjustment information returned by the user based on the adjustment suggestion information is obtained. When it is detected that the confirmation adjustment information is preset confirmation information, that is, the confirmation adjustment information contains information that agrees with the semantics of the adjustment. , update the characteristic information according to the adjustment recommendation information, and perform the subsequent steps of generating the first service experience guarantee strategy according to the updated characteristic information.
在本申请实施例中，在目标意图的可达成概率小于第一预设阈值的情况下，根据历史数据进行分析或通过机器学习算法分析的方式，查找与目标意图较为接近，且可达成概率大于第一预设阈值的第二意图，并根据第二意图反馈调整建议信息，由此，在用户的目标意图不可达成的情况下，向用户推荐与目标意图相近且可达成的方案，提高了用户的体验。In the embodiment of the present application, when the achievable probability of the target intention is less than the first preset threshold, analysis based on historical data or machine learning algorithm analysis is used to find a method that is closer to the target intention, and the achievable probability is greater than The second intention of the first preset threshold is adjusted according to the second intention feedback. Therefore, when the user's target intention cannot be achieved, a solution that is similar and achievable to the target intention is recommended to the user, which improves the user's experience.
本申请实施例还公开一种电子设备700。 The embodiment of the present application also discloses an electronic device 700.
在一些实施例中，该电子设备700包括：存储器710和一个或多个处理器720，图7中以一个处理器720及存储器710为例。处理器720和存储器710可以通过总线730或者其他方式连接，图7中以通过总线连接为例。In some embodiments, the electronic device 700 includes: a memory 710 and one or more processors 720. In FIG. 7, a processor 720 and a memory 710 are taken as an example. The processor 720 and the memory 710 may be connected through a bus 730 or other means. In FIG. 7 , the connection through the bus is taken as an example.
存储器710作为一种非暂态计算机可读存储介质，可用于存储非暂态软件程序以及非暂态性计算机可执行程序，如上述本申请实施例中的业务体验保障方法。处理器720通过运行存储在存储器710中的非暂态软件程序以及程序，从而实现上述本申请实施例中的业务体验保障方法。例如执行以上图1中的步骤S101至步骤S106，图2中步骤S201至步骤S202，图3中的步骤S301至步骤S303，图4中的步骤S401至步骤S402，图5中的步骤S501至步骤S502，图6中的步骤S601至步骤S603。通过获取目标意图；从目标意图中提取特征信息；根据特征信息确定目标意图的可达成概率；在可达成概率大于第一预设阈值的情况下，根据特征信息生成第一业务体验保障策略；监控第一业务体验保障策略执行过程中的性能指标参数；在性能指标参数不满足参数需求的情况下，调整第一业务体验保障策略，以使性能指标参数满足目标意图的参数需求。首先，通过获取目标意图，并判断目标意图的可达成概率，在目标意图的可达成概率大于预设阈值的情况下，根据用户意图生成业务体验保障策略，并监控业务体验保障策略的执行过程中的性能指标参数，当出现性能指标参数不满足目标意图的参数需求的情况时，及时更新业务体验保障策略，由此实现对目标意图全生命周期的闭环业务体验保障。As a non-transitory computer-readable storage medium, the memory 710 can be used to store non-transitory software programs and non-transitory computer executable programs, such as the business experience guarantee method in the above embodiments of the present application. The processor 720 implements the above-mentioned service experience guarantee method in the embodiment of the present application by running non-transient software programs and programs stored in the memory 710 . For example, perform the above steps S101 to step S106 in Figure 1, step S201 to step S202 in Figure 2, step S301 to step S303 in Figure 3, step S401 to step S402 in Figure 4, and step S501 to step S501 in Figure 5. S502, step S601 to step S603 in Figure 6 . By obtaining the target intention; extracting feature information from the target intention; determining the achievability probability of the target intention based on the feature information; when the achievability probability is greater than the first preset threshold, generating the first business experience guarantee strategy based on the feature information; monitoring The performance index parameters during the execution of the first business experience guarantee strategy; when the performance index parameters do not meet the parameter requirements, adjust the first business experience guarantee strategy so that the performance index parameters meet the parameter requirements of the target intention. First, by obtaining the target intention and judging the achievability probability of the target intention, when the achievability probability of the target intention is greater than the preset threshold, a business experience guarantee strategy is generated based on the user intention, and the execution process of the business experience guarantee strategy is monitored. When the performance indicator parameters do not meet the parameter requirements of the target intention, the business experience guarantee strategy will be updated in a timely manner, thereby achieving closed-loop business experience guarantee for the entire life cycle of the target intention.
存储器710可以包括存储程序区和存储数据区，其中，存储程序区可存储操作***、至少一个功能所需要的应用程序；存储数据区可存储执行上述本申请实施例中的业务体验保障方法所需的数据等。此外，存储器710可以包括高速随机存取存储器，还可以包括非暂态存储器，例如至少一个磁盘存储器件、闪存器件、或其他非暂态固态存储器件。在一些实施方式中，存储器可包括相对于处理器远程设置的存储器，这些远程存储器可以通过网络连接至该电子设备。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。The memory 710 may include a stored program area and a stored data area, wherein the stored program area may store an operating system and an application program required for at least one function; the stored data area may store data required to execute the business experience guarantee method in the embodiment of the present application. data, etc. In addition, memory 710 may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may include memory located remotely from the processor, and these remote memories may be connected to the electronic device through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.
实现上述本申请实施例中的业务体验保障方法所需的非暂态软件程序以及程序存储在存储器710中，当被一个或者多个处理器执行时，执行上述本申请实施例中的业务体验保障方法。The non-transitory software programs and programs required to implement the above-mentioned business experience guarantee method in the embodiment of the present application are stored in the memory 710. When executed by one or more processors, the above-mentioned business experience guarantee in the embodiment of the present application is executed. method.
此外，本申请实施例还提供了一种计算机可读存储介质，该计算机可读存储介质存储有计算机可执行程序，该计算机可执行程序被一个或多个控制处理器执行，例如，执行以上图1中的步骤S101至步骤S106，图2中步骤S201至步骤S202，图3中的步骤S301至步骤S303，图4中的步骤S401至步骤S402，图5中的步骤S501至步骤S502，图6中的步骤S601至步骤S603。通过获取目标意图；从目标意图中提取特征信息；根据特征信息确定目标意图的可达成概率；在可达成概率大于第一预设阈值的情况下，根据特征信息生成第一业务体验保障策略；监控第一业务体验保障策略执行过程中的性能指标参数；在性能指标参数不满足参数需求的情况下，调整第一业务体验保障策略，以使性能指标参数满足目标意图的参数需求。首先，通过获取目标意图，并判断目标意图的可达成概率，在目标意图的可达成概率大于预设阈值的情况下，根据用户意图生成业务体验保障策略，并监控业务体验保障策略的执行过程中的性能指标参数，当出现性能指标参数不满足目标意图的参数需求的情况时，及时更新业务体验保障策略，由此实现对目标意图全生命周期的闭环业务体验保障。 In addition, embodiments of the present application also provide a computer-readable storage medium. The computer-readable storage medium stores a computer-executable program. The computer-executable program is executed by one or more control processors. For example, execute the above figure. Step S101 to step S106 in 1, step S201 to step S202 in Figure 2, step S301 to step S303 in Figure 3, step S401 to step S402 in Figure 4, step S501 to step S502 in Figure 5, Figure 6 Steps S601 to S603 in . By obtaining the target intention; extracting feature information from the target intention; determining the achievability probability of the target intention based on the feature information; when the achievability probability is greater than the first preset threshold, generating the first business experience guarantee strategy based on the feature information; monitoring The performance index parameters during the execution of the first business experience guarantee strategy; when the performance index parameters do not meet the parameter requirements, adjust the first business experience guarantee strategy so that the performance index parameters meet the parameter requirements of the target intention. First, by obtaining the target intention and judging the achievability probability of the target intention, when the achievability probability of the target intention is greater than the preset threshold, a business experience guarantee strategy is generated based on the user intention, and the execution process of the business experience guarantee strategy is monitored. When the performance indicator parameters do not meet the parameter requirements of the target intention, the business experience guarantee strategy will be updated in a timely manner, thereby achieving closed-loop business experience guarantee for the entire life cycle of the target intention.
本申请实施例提供了一种业务体验保障方法、电子设备和计算机可读存储介质。方法包括：获取目标意图；从所述目标意图中提取特征信息；根据所述特征信息确定所述目标意图的可达成概率；在所述可达成概率大于第一预设阈值的情况下，根据所述特征信息生成所述第一业务体验保障策略；监控所述第一业务体验保障策略执行过程中的性能指标参数；在所述性能指标参数不满足所述参数需求的情况下，调整所述第一业务体验保障策略，以使所述性能指标参数满足所述目标意图的参数需求。首先，通过获取目标意图，并判断目标意图的可达成概率，在目标意图的可达成概率大于预设阈值的情况下，根据用户意图生成业务体验保障策略，并监控业务体验保障策略的执行过程中的性能指标参数，当出现性能恶化，使得性能指标参数不满足目标意图的参数需求时，及时调整业务体验保障策略，由此实现对目标意图全生命周期的闭环保障。Embodiments of the present application provide a service experience guarantee method, electronic device, and computer-readable storage medium. The method includes: obtaining a target intention; extracting feature information from the target intention; determining an achievable probability of the target intention based on the feature information; when the achievable probability is greater than a first preset threshold, based on the generate the first service experience guarantee strategy from the characteristic information; monitor the performance index parameters during the execution of the first service experience guarantee strategy; and adjust the first service experience guarantee strategy when the performance index parameters do not meet the parameter requirements. A business experience guarantee strategy so that the performance indicator parameters meet the parameter requirements of the target intention. First, by obtaining the target intention and judging the achievability probability of the target intention, when the achievability probability of the target intention is greater than the preset threshold, a business experience guarantee strategy is generated based on the user intention, and the execution process of the business experience guarantee strategy is monitored. When performance deterioration occurs and the performance index parameters do not meet the parameter requirements of the target intention, the business experience guarantee strategy will be adjusted in a timely manner, thereby achieving closed-loop guarantee for the entire life cycle of the target intention.
本申请实施例通过将可达成的目标意图转化为业务体验保障策略并执行，同时监控执行业务体验保障策略的过程中的性能指标参数，当监控到性能指标参数不满足目标意图的参数需求时，调整业务体验保障策略。由此实现根据目标意图生成并调整业务体验保障策略，满足用户需求同时规避SLA违约，为业务体验提供自动、闭环的保障。The embodiment of this application converts the achievable target intention into a business experience guarantee strategy and executes it, and at the same time monitors the performance index parameters in the process of executing the business experience guarantee strategy. When it is monitored that the performance index parameters do not meet the parameter requirements of the target intention, Adjust business experience assurance strategies. This enables us to generate and adjust business experience assurance strategies based on target intentions, meet user needs while avoiding SLA breaches, and provide automatic, closed-loop assurance for business experience.
本领域普通技术人员可以理解，上文中所公开方法中的全部或某些步骤、***可以被实施为软件、固件、硬件及其适当的组合。某些物理组件或所有物理组件可以被实施为由处理器，如中央处理器、数字信号处理器或微处理器执行的软件，或者被实施为硬件，或者被实施为集成电路，如专用集成电路。这样的软件可以分布在计算机可读介质上，计算机可读介质可以包括计算机存储介质(或非暂时性介质)和通信介质(或暂时性介质)。如本领域普通技术人员公知的，术语计算机存储介质包括在用于存储信息(诸如计算机可读程序、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外，本领域普通技术人员公知的是，通信介质通常包含计算机可读程序、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据，并且可包括任何信息递送介质。Those of ordinary skill in the art can understand that all or some steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As is known to those of ordinary skill in the art, the term computer storage media includes volatile and nonvolatile media implemented in any method or technology for storage of information such as computer readable programs, data structures, program modules or other data. removable, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disk (DVD) or other optical disk storage, magnetic cassettes, tapes, disk storage or other magnetic storage devices, or may Any other medium used to store the desired information and that can be accessed by a computer. Additionally, it is known to those of ordinary skill in the art that communication media typically embodies a computer-readable program, data structure, program module or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .
以上是对本申请的一些实施进行了说明，但本申请并不局限于上述实施方式，熟悉本领域的技术人员在不违背本申请范围的共享条件下还可作出种种等同的变形或替换，这些等同的变形或替换均包括在本申请权利要求所限定的范围内。 The above describes some implementations of the present application, but the present application is not limited to the above-mentioned implementations. Those skilled in the art can also make various equivalent modifications or substitutions without violating the scope of the present application. These equivalents All modifications or substitutions are included in the scope defined by the claims of this application.

Claims (13)

  1. 一种业务体验保障方法，包括：A business experience guarantee method, including:
    获取目标意图；Get target intent;
    从所述目标意图中提取特征信息；Extract feature information from the target intent;
    根据所述特征信息确定所述目标意图的可达成概率；Determine the achievability probability of the goal intention based on the characteristic information;
    在所述可达成概率大于第一预设阈值的情况下，根据所述特征信息生成所述第一业务体验保障策略；When the achievable probability is greater than the first preset threshold, generate the first service experience guarantee policy according to the characteristic information;
    监控所述第一业务体验保障策略执行过程中的性能指标参数；Monitor the performance indicator parameters during the execution of the first service experience guarantee strategy;
    在所述性能指标参数不满足所述目标意图的参数需求的情况下，更新所述第一业务体验保障策略，以使所述性能指标参数满足所述参数需求。When the performance index parameters do not meet the parameter requirements of the target intention, the first service experience guarantee policy is updated so that the performance index parameters meet the parameter requirements.
  2. 根据权利要求1所述的方法，其中，所述根据所述特征信息生成第一业务体验保障策略，包括：The method according to claim 1, wherein generating a first service experience guarantee policy based on the characteristic information includes:
    根据所述特征信息在预设的数字孪生网络中生成并执行至少一个第二业务体验保障策略；Generate and execute at least one second service experience guarantee strategy in the preset digital twin network according to the characteristic information;
    根据所述第二业务体验保障策略的执行结果从所述第二业务体验保障策略中确定所述第一业务体验保障策略。The first service experience guarantee strategy is determined from the second service experience guarantee strategy according to the execution result of the second service experience guarantee strategy.
  3. 根据权利要求2所述的方法，其中，所述更新所述第一业务体验保障策略，包括：The method according to claim 2, wherein the updating of the first service experience guarantee policy includes:
    根据所述目标意图的参数需求在所述数字孪生网络中生成并执行至少一个第三业务体验保障策略；Generate and execute at least one third service experience guarantee strategy in the digital twin network according to the parameter requirements of the target intention;
    监控所述第三业务体验保障策略执行过程中的性能指标参数；Monitor the performance indicator parameters during the execution of the third service experience guarantee strategy;
    根据所述性能指标参数满足所述参数需求的所述第三业务体验保障策略更新所述第一业务体验保障策略。The first service experience guarantee policy is updated according to the third service experience guarantee policy in which the performance index parameter meets the parameter requirement.
  4. 根据权利要求1所述的方法，其中，所述特征信息包括如下至少之一：保障区域、或保障业务类型、或保障目标、或保障时间段。The method according to claim 1, wherein the characteristic information includes at least one of the following: a guarantee area, a guarantee service type, a guarantee target, or a guarantee time period.
  5. 根据权利要求4所述的方法，其中，所述根据所述特征信息生成所述第一业务体验保障策略之后，还包括The method according to claim 4, wherein after generating the first service experience guarantee policy according to the characteristic information, further comprising:
    识别与所述保障区域、所述保障业务类型、所述保障时间段对应的数据流；Identify the data flow corresponding to the guaranteed area, the guaranteed service type, and the guaranteed time period;
    根据与所述保障目标对应的预设调度算法确定所述数据流的传输性能参数。The transmission performance parameters of the data flow are determined according to a preset scheduling algorithm corresponding to the guarantee target.
  6. 根据权利要求5所述的方法，其中，所述监控所述第一业务体验保障策略执行过程中的性能指标参数包括：The method according to claim 5, wherein the monitoring the performance indicator parameters during the execution of the first service experience guarantee policy includes:
    监控所述数据流的传输性能参数。Monitor transmission performance parameters of the data stream.
  7. 根据权利要求1所述的方法，其中，所述从所述目标意图中提取特征信息之后，还包括：The method according to claim 1, wherein after extracting feature information from the target intention, it further includes:
    根据所述特征信息反馈语义理解信息；Feed back semantic understanding information according to the feature information;
    获取基于所述语义理解信息返回的补充特征信息，以更新所述特征信息。Obtain supplementary feature information returned based on the semantic understanding information to update the feature information.
  8. 根据权利要求7所述的方法，其中，所述根据所述特征信息反馈语义理解信息，包括：The method according to claim 7, wherein the feedback of semantic understanding information according to the feature information includes:
    在所述特征信息缺少所述保障区域参数、所述保障业务类型参数、所述保障目标参数和所述保障时间段参数中的至少一个的情况下，通过第一预设算法补全所述特征信息，并根据补全后的所述特征信息反馈所述语义理解信息。 In the case where the feature information lacks at least one of the guaranteed area parameter, the guaranteed service type parameter, the guaranteed target parameter and the guaranteed time period parameter, the feature is completed through a first preset algorithm information, and feed back the semantic understanding information based on the completed feature information.
  9. 根据权利要求1所述的方法，其中，所述根据所述特征信息确定所述目标意图的可达成概率，包括：The method according to claim 1, wherein determining the achievable probability of the goal intention based on the characteristic information includes:
    在预设的数字孪生网络中根据所述特征信息生成并执行至少一个第四业务体验保障策略；Generate and execute at least one fourth service experience guarantee strategy based on the characteristic information in the preset digital twin network;
    根据所述第四业务体验保障策略的执行结果确定所述目标意图的可达成概率。The achievability probability of the target intention is determined according to the execution result of the fourth service experience guarantee strategy.
  10. 根据权利要求1所述的方法，其中，所述根据所述特征信息确定所述目标意图的可达成概率，包括：The method according to claim 1, wherein determining the achievable probability of the goal intention based on the characteristic information includes:
    在预设的数字孪生网络中根据所述特征信息生成至少一个第四业务体验保障策略，其中，所述数字孪生网络中存在已执行的至少一个第五业务体验保障策略；Generate at least one fourth service experience guarantee strategy in the preset digital twin network based on the characteristic information, wherein at least one fifth service experience guarantee strategy has been executed in the digital twin network;
    在不降低所述第五业务体验保障策略的可达成概率的约束条件下执行所述第四业务体验保障策略；Execute the fourth service experience guarantee strategy under the constraint of not reducing the achievability probability of the fifth service experience guarantee strategy;
    根据所述第四业务体验保障策略的执行结果确定所述目标意图的可达成概率。The achievability probability of the target intention is determined according to the execution result of the fourth service experience guarantee strategy.
  11. 根据权利要求1所述的方法，其中，所述根据所述特征信息确定所述目标意图的可达成概率之后，还包括：The method according to claim 1, wherein after determining the achievable probability of the target intention based on the characteristic information, it further includes:
    在所述可达成概率小于所述第一预设阈值的情况下，反馈调整建议信息；When the achievable probability is less than the first preset threshold, feedback adjustment recommendation information;
    获取基于所述调整建议信息返回的确认调整信息；Obtain the confirmation adjustment information returned based on the adjustment suggestion information;
    在所述确认调整信息为预设确认信息的情况下，根据所述调整建议信息调整所述特征信息，以使所述目标意图的可达成概率大于所述第一预设阈值。When the confirmation adjustment information is preset confirmation information, the characteristic information is adjusted according to the adjustment suggestion information so that the achievable probability of the target intention is greater than the first preset threshold.
  12. 一种电子设备，包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如权利要求1至11任意一项所述的业务体验保障方法。An electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described in any one of claims 1 to 11. Business experience guarantee methods.
  13. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机可执行程序，所述计算机可执行程序用于使计算机执行如权利要求1至11任意一项所述的业务体验保障方法。 A computer-readable storage medium stores a computer-executable program, and the computer-executable program is used to cause a computer to execute the business experience guarantee method according to any one of claims 1 to 11.
PCT/CN2023/083142 2022-08-18 2023-03-22 Service experience guarantee method, electronic device and computer-readable storage medium WO2024036953A1 (en)

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