WO2023066149A1 - 一种意图预评估方法及装置 - Google Patents

一种意图预评估方法及装置 Download PDF

Info

Publication number
WO2023066149A1
WO2023066149A1 PCT/CN2022/125322 CN2022125322W WO2023066149A1 WO 2023066149 A1 WO2023066149 A1 WO 2023066149A1 CN 2022125322 W CN2022125322 W CN 2022125322W WO 2023066149 A1 WO2023066149 A1 WO 2023066149A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
evaluation
kpi
network element
network
Prior art date
Application number
PCT/CN2022/125322
Other languages
English (en)
French (fr)
Inventor
闫文
李贤明
李业兴
于益俊
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Publication of WO2023066149A1 publication Critical patent/WO2023066149A1/zh

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5003—Managing SLA; Interaction between SLA and QoS
    • H04L41/5009—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic

Definitions

  • the present application relates to the field of communication technologies, and in particular to an intent pre-assessment method and device.
  • intent translation decisions require constant trial and error.
  • the user sends the intent target, through intent translation and intent decision-making, select the operation related to the intent target, and implement the intent target according to the operation.
  • the intent target if the gain does not meet the intent target, re-translate Decision-making. If the gain cannot be satisfied after all operations are used, feedback to the user that the intended goal cannot be achieved.
  • the implementation of the intended goal will modify the current network state, and the intention execution efficiency is low. Therefore, how to improve the intention execution efficiency is a technical problem being solved by those skilled in the art.
  • the present application discloses an intent pre-evaluation method and device, which can know whether the intent can be completed or know the impact on the network after the intent is implemented without modifying the network state, which is beneficial to improve the efficiency of intent execution.
  • the first aspect of the embodiment of the present application discloses an intent pre-assessment method, including:
  • the first network element receives the intention target and the pre-assessment type from the second network element, the pre-assessment type includes pre-assessment information of the intention to achieve the result, or the pre-assessment information of the impact of the network key performance indicator KPI, and the intention target includes the first operation;
  • the first network element receives the first information from the third network element, the first information includes one or more of the following: operation impact information or impact information of the first KPI, and the operation impact information is used to indicate mutually exclusive information of the first operation , the impact information of the first KPI is used to indicate the impact of the first operation on the KPI associated with the intended target or the impact on the network KPI;
  • the first network element determines result information corresponding to the pre-assessment type according to the first information, and the result information includes: pre-assessment information intended to achieve a result or pre-assessment information of KPI impact;
  • the first network element sends result information to the second network element.
  • the second network element sends the intended target and the pre-assessment type to the first network element, and correspondingly, the first network element determines the result information corresponding to the pre-assessment type according to the first information, and sends the result information to the second network element Result information, the result information includes the pre-evaluation information of the intention to achieve the result and the pre-evaluation information of the impact of KPI, which can realize whether the intention can be completed or know the impact on the network after the intention is implemented without modifying the network status, which is beneficial
  • the second network element uses this as a reference, and improves the efficiency of intent execution.
  • the intended goal includes an identification of the intended goal and/or a goal value of the intended goal.
  • the first network element also receives one or more of the following from the second network element: pre-evaluation termination condition, pre-evaluation maximum duration, the pre-evaluation termination condition is used to determine the first network element
  • pre-evaluation termination condition is used to determine the first network element
  • the process of determining the result information corresponding to the pre-assessment type according to the first information continues or terminates; the process of determining the maximum pre-assessment duration for the first network element to determine the result information corresponding to the pre-assessment type according to the first information continues or terminates.
  • the pre-evaluation process can be performed within a reasonable range through the pre-evaluation termination condition and the maximum pre-evaluation duration, thereby improving system performance.
  • the result information includes pre-assessment information of the intention to achieve the result
  • the result information also includes one or more of the following: the confidence of the result information, the time required to achieve the intended goal, and the failure to achieve the intended goal s reason.
  • the result information includes the above one or multiple items for analysis by the second network element, which is beneficial to improve the efficiency of intent execution.
  • the result information if the result information includes pre-evaluation information on the impact of KPIs, the result information also includes one or more of the following: the confidence level of the result information, and the KPI list corresponding to the pre-evaluation information on the impact of KPIs , The confidence level of the pre-evaluation information of the influence of KPI.
  • the first information further includes one or more of the following: network performance data information, time information when the first operation takes effect, and information about other intended targets except the intended target.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes identification information of mutually exclusive operations, or indication information indicating whether mutual exclusion is performed.
  • the second aspect of the embodiment of the present application discloses an intention pre-assessment method, including:
  • the second network element sends the intention goal and the pre-evaluation type to the first network element, the pre-evaluation type includes the pre-evaluation information of the intention to achieve the result, or the pre-evaluation information of the influence of the network key performance indicator KPI, and the intention goal includes the first operation;
  • the second network element receives the result information from the first network element, the result information is the result information corresponding to the pre-assessment type determined by the first network element according to the first information, and the result information includes: the pre-assessment information intended to achieve the result or the influence of the KPI Pre-assessment information; the first information includes one or more of the following: operation impact information or impact information of the first KPI, where the operation impact information is used to indicate mutually exclusive information of the first operation, and the impact information of the first KPI is used to indicate the first KPI The impact of an operation on the KPI associated with the intent target or on the network KPI.
  • the second network element sends the intended target and the pre-assessment type to the first network element, and correspondingly, the first network element determines the result information corresponding to the pre-assessment type according to the first information, and sends the result information to the second network element Result information, the result information includes the pre-evaluation information of the intention to achieve the result and the pre-evaluation information of the impact of KPI, which can realize whether the intention can be completed or know the impact on the network after the intention is implemented without modifying the network status, which is beneficial
  • the second network element uses this as a reference, and improves the efficiency of intent execution.
  • the intended goal includes an identification of the intended goal and/or a goal value of the intended goal.
  • the second network element also sends one or more of the following to the first network element: pre-evaluation termination condition, pre-evaluation maximum duration, the pre-evaluation termination condition is used to determine the first network element according to The process of determining the result information corresponding to the pre-assessment type by the first information continues or terminates; the process of determining the maximum duration of pre-assessment for the first network element to determine the result information corresponding to the pre-assessment type according to the first information continues or terminates.
  • the result information includes pre-assessment information of the intention to achieve the result
  • the result information also includes one or more of the following: the confidence of the result information, the time required to achieve the intended goal, and the failure to achieve the intended goal s reason.
  • the result information if the result information includes pre-evaluation information on the impact of KPIs, the result information also includes one or more of the following: the confidence level of the result information, and the KPI list corresponding to the pre-evaluation information on the impact of KPIs , The confidence level of the pre-evaluation information of the influence of KPI.
  • the first information further includes one or more of the following: network performance data information, time information when the first operation takes effect, and information about other intended targets except the intended target.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes identification information of mutually exclusive operations, or indication information indicating whether mutual exclusion is performed.
  • the third aspect of the embodiment of the present application discloses an intention pre-assessment method, including:
  • the first network element receives pre-assessment information on the influence of the network key performance indicator KPI from the second network element;
  • the first network element receives the first information from the third network element, the first information includes one or more of the following: operation influence information or influence information of the second KPI, and the operation influence information is used to indicate mutually exclusive information of the second operation , the influence information of the second KPI is used to indicate the influence of the second operation on the network KPI, and the second operation is an operation affecting the network KPI;
  • the first network element determines an evaluation value corresponding to the pre-evaluation information according to the first information
  • the first network element sends the evaluation value to the second network element.
  • the second network element sends the pre-assessment information of the influence of the network KPI to the first network element.
  • the first network element determines the evaluation value of the pre-evaluation information according to the first information, and sends the second network element Sending the evaluation value can realize the feedback of the evaluation value without modifying the network state, which is beneficial for the second network element to use it as a reference, and is conducive to improving the efficiency of intent execution.
  • the first network element also receives one or more of the following from the second network element: pre-evaluation constraint condition, pre-evaluation termination condition, and pre-evaluation maximum duration;
  • the pre-evaluation constraint condition is used to indicate The execution of the process of determining the evaluation value corresponding to the pre-evaluation information based on the first information is subject to constraints, and the pre-evaluation termination condition is used to determine whether the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information continues or terminates; the maximum duration of the pre-evaluation is used The process of determining the evaluation value corresponding to the pre-evaluation information according to the first information is continued or terminated.
  • the pre-evaluation process can be performed within a reasonable range through the pre-evaluation constraint conditions, pre-evaluation termination conditions, and pre-evaluation maximum duration, thereby improving system performance.
  • the first network element determines the evaluation value corresponding to the pre-evaluation information according to the first information, including: the first network element determines the evaluation value corresponding to the pre-evaluation information according to the first information, and the evaluation value Confidence.
  • the first information further includes one or more of the following: network performance data information, time when the second operation takes effect, and intent information corresponding to network KPIs other than the network KPI .
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes mutual exclusion operation identification information, or indication information indicating whether mutual exclusion is performed.
  • the fourth aspect of the embodiment of the present application discloses an intent pre-assessment method, including:
  • the second network element sends the pre-evaluation information of the impact of the network key performance indicator KPI to the first network element
  • the second network element receives the evaluation value corresponding to the pre-evaluation information from the first network element; the evaluation value corresponding to the pre-evaluation information is determined according to the first information, and the first information includes one or more of the following: operation impact information or the first information Influence information of two KPIs, the operation influence information is used to indicate mutually exclusive information of the second operation, the influence information of the second KPI is used to indicate the influence of the second operation on the network KPI, and the second operation is an operation affecting the network KPI.
  • the second network element sends the pre-assessment information of the influence of the network KPI to the first network element.
  • the first network element determines the evaluation value of the pre-evaluation information according to the first information, and sends the second network element Sending the evaluation value can realize the feedback of the evaluation value without modifying the network state, which is beneficial for the second network element to use it as a reference, and is conducive to improving the efficiency of intent execution.
  • the second network element sends one or more of the following to the first network element: pre-evaluation constraint condition, pre-evaluation termination condition, and pre-evaluation maximum duration;
  • the pre-evaluation constraint condition is used to indicate the execution according to The constraints on the process of determining the evaluation value corresponding to the pre-evaluation information by the first information
  • the pre-evaluation termination condition is used to determine whether the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information continues or terminates;
  • the maximum duration of the pre-evaluation is used to determine The process of determining the evaluation value corresponding to the pre-evaluation information according to the first information is continued or terminated.
  • the method further includes: the second network element receives the confidence degree of the evaluation value from the first network element, and the confidence degree of the evaluation value is determined according to the first information.
  • the first information further includes one or more of the following: network performance data information, time when the second operation takes effect, and intent information corresponding to network KPIs other than the network KPI .
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes mutual exclusion operation identification information, or indication information indicating whether mutual exclusion is performed.
  • the fifth aspect of the embodiment of the present application discloses an intention pre-evaluation device, including: a communication unit and a processing unit,
  • the communication unit is configured to receive the intended goal and the pre-assessment type from the second network element, the pre-assessment type includes pre-assessment information of the intention to achieve the result, or the pre-assessment information of the influence of the network key performance indicator KPI, and the intended goal includes the first operation ;
  • a communication unit configured to receive first information from a third network element, where the first information includes one or more of the following: operation impact information or impact information of the first KPI, where the operation impact information is used to indicate mutual exclusion of the first operation Information, the impact information of the first KPI is used to indicate the impact of the first operation on the KPI associated with the intended target or the impact on the network KPI;
  • a processing unit configured to determine result information corresponding to the pre-assessment type according to the first information, where the result information includes: pre-assessment information intended to achieve a result or pre-assessment information on the impact of the KPI;
  • a communication unit configured to send the result information to the second network element.
  • the intended goal includes an identification of the intended goal and/or a goal value of the intended goal.
  • the communication unit is further configured to receive one or more of the following from the second network element: pre-evaluation termination condition, pre-evaluation maximum duration, the pre-evaluation termination condition is used to determine the device according to the first The process of determining the result information corresponding to the pre-assessment type by information continues or terminates; the process of determining the maximum duration of pre-assessment by the device to determine the result information corresponding to the pre-evaluation type according to the first information continues or terminates.
  • the result information includes pre-assessment information of the intention to achieve the result
  • the result information also includes one or more of the following: the confidence of the result information, the time required to achieve the intended goal, and the failure to achieve the intended goal s reason.
  • the result information if the result information includes pre-evaluation information on the impact of KPIs, the result information also includes one or more of the following: the confidence level of the result information, and the KPI list corresponding to the pre-evaluation information on the impact of KPIs , The confidence level of the pre-evaluation information of the influence of KPI.
  • the first information further includes one or more of the following: network performance data information, time information when the first operation takes effect, and information about other intended targets except the intended target.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes identification information of mutually exclusive operations, or indication information indicating whether mutual exclusion is performed.
  • the sixth aspect of the embodiment of the present application discloses an intention pre-assessment device, including:
  • a communication unit configured to receive pre-assessment information on the influence of the network key performance indicator KPI from the second network element
  • the communication unit is configured to receive the first information from the third network element, the first information includes one or more of the following: operation influence information or influence information of the second KPI, and the operation influence information is used to indicate mutual exclusion of the second operation information, the influence information of the second KPI is used to indicate the influence of the second operation on the network KPI, and the second operation is an operation affecting the network KPI;
  • a processing unit configured to determine an evaluation value corresponding to the pre-evaluation information according to the first information
  • the communication unit is configured to send the evaluation value to the second network element.
  • the communication unit is further configured to receive one or more of the following from the second network element: a pre-evaluation constraint condition, a pre-evaluation termination condition, and a pre-evaluation maximum duration;
  • the pre-evaluation constraint condition is used to Indicates the constraints on the execution of the process of determining the evaluation value corresponding to the pre-evaluation information based on the first information.
  • the pre-evaluation termination condition is used to determine whether the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information continues or terminates; the maximum duration of pre-evaluation The process for determining the evaluation value corresponding to the pre-evaluation information according to the first information continues to be executed or terminated.
  • the communication unit is configured to determine an evaluation value corresponding to the pre-evaluation information and a confidence degree of the evaluation value according to the first information.
  • the first information further includes one or more of the following: network performance data information, time when the second operation takes effect, and intent information corresponding to network KPIs other than the network KPI .
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes mutual exclusion operation identification information, or indication information indicating whether mutual exclusion is performed.
  • the seventh aspect of the embodiment of the present application discloses an intention pre-assessment device, the device includes at least one processor and a communication interface, at least one processor is used to call a computer program stored in at least one memory, and perform the following operations:
  • the pre-assessment type includes pre-assessment information on the intended result, or pre-assessment information on the impact of the network key performance indicator KPI, and the intention target includes the first operation;
  • the first information includes one or more of the following: operation impact information or impact information of the first KPI, where the operation impact information is used to indicate mutually exclusive information of the first operation,
  • the impact information of the first KPI is used to indicate the impact of the first operation on the KPI associated with the intended target or the impact on the network KPI;
  • the result information includes: pre-assessment information intended to achieve a result or pre-assessment information on the impact of the KPI;
  • the intended goal includes an identification of the intended goal and/or a goal value of the intended goal.
  • At least one processor is further configured to receive one or more of the following from the second network element through the communication interface: the pre-evaluation termination condition, the maximum pre-evaluation duration, and the pre-evaluation termination condition.
  • the result information includes pre-assessment information of the intention to achieve the result
  • the result information also includes one or more of the following: the confidence of the result information, the time required to achieve the intended goal, and the failure to achieve the intended goal s reason.
  • the result information if the result information includes pre-evaluation information on the impact of KPIs, the result information also includes one or more of the following: the confidence level of the result information, and the KPI list corresponding to the pre-evaluation information on the impact of KPIs , The confidence level of the pre-evaluation information of the influence of KPI.
  • the first information further includes one or more of the following: network performance data information, time information when the first operation takes effect, and information about other intended targets except the intended target.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes identification information of mutually exclusive operations, or indication information indicating whether mutual exclusion is performed.
  • the eighth aspect of the embodiment of the present application discloses an intention pre-assessment device, the device includes at least one processor and a communication interface, and the at least one processor is used to call a computer program stored in at least one memory to perform the following operations.
  • the first information includes one or more of the following: operation influence information or influence information of the second KPI, the operation influence information is used to indicate mutually exclusive information of the second operation, The influence information of the second KPI is used to indicate the influence of the second operation on the network KPI, and the second operation is an operation affecting the network KPI;
  • At least one processor is further configured to receive one or more of the following from the second network element through the communication interface: pre-evaluation constraint condition, pre-evaluation termination condition, pre-evaluation maximum duration; pre-evaluation
  • the evaluation constraint condition is used to indicate the constraints on the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information
  • the pre-evaluation termination condition is used to determine the continuation or termination of the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information
  • the maximum duration of pre-evaluation is used to determine whether to continue or terminate the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information.
  • At least one processor is further configured to determine the confidence level of the evaluation value according to the first information.
  • the first information further includes one or more of the following: network performance data information, time when the second operation takes effect, and intent information corresponding to network KPIs other than the network KPI .
  • the network KPI includes one or more of the following: delay, throughput rate, rate, physical resource block PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes mutual exclusion operation identification information, or indication information indicating whether mutual exclusion is performed.
  • the ninth aspect of the embodiment of the present application discloses a chip system, the chip system includes at least one processor and a communication interface, at least one processor is used to call a computer program stored in at least one memory, to achieve any or any of the above aspects A possible implementation of the described method.
  • the tenth aspect of the embodiment of the present application discloses a computer-readable storage medium.
  • the computer-readable storage medium stores program instructions. When the program instructions are run on the processor, any or all of the above-mentioned aspects can be realized. A possible implementation of the described method.
  • the eleventh aspect of the embodiments of the present application discloses a computer program product.
  • the computer program product runs on a processor, the method described in any one of the above aspects or possible implementation manners of any one of the aspects can be implemented.
  • FIG. 1 is a schematic structural diagram of a communication system provided by an embodiment of the present application.
  • FIG. 2 is a schematic diagram of an existing wIDN system architecture provided by an embodiment of the present application
  • FIG. 3 is a schematic diagram of an improved wIDN system architecture provided by an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of an existing ENI system provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of an existing IDMS system architecture provided by an embodiment of the present application.
  • Fig. 6 is an intentional implementation flow chart provided by the embodiment of the present application.
  • Fig. 7 is a schematic flow chart of an intent pre-assessment method provided in the embodiment of the present application.
  • Fig. 8 is a schematic flow chart of an intention pre-assessment method provided by the embodiment of the present application.
  • Fig. 9 is a schematic flow chart of an intention pre-assessment method provided by the embodiment of the present application.
  • Fig. 10 is a schematic flow chart of an intention pre-assessment method provided by the embodiment of the present application.
  • Fig. 11 is a schematic flow chart of an intent pre-assessment method provided in the embodiment of the present application.
  • Fig. 12 is a schematic diagram of an intention pre-assessment device provided by the embodiment of the present application.
  • Fig. 13 is a schematic diagram of an intent pre-evaluation device provided by an embodiment of the present application.
  • An intent refers to the expectations of the acting system.
  • An intent can include one or more of the following: requirements, intent goals, and constraints.
  • Intent instance the object after instantiating the intent.
  • an intent can be replaced with an instance of an intent.
  • Intent goal used to indicate the target value that the intention needs to achieve.
  • Intent translation the process of converting an intent into an intent executable command or rule or sub-intent.
  • Intention execution issue the executable commands, sub-intents, and rules of the intent, and adjust the executable commands, sub-intents, and rules according to the network environment and the achievement of the intent.
  • Intention-executable commands A series of instructions formed by intentions through operations such as translation decisions.
  • Intent mode specifies the syntax and semantics of intent expressions.
  • the intent pattern may include one or more of the following: fields, value ranges of fields, types of fields, and hierarchical relationships between fields. For example, fields can be used to describe the type, name, or consumer of the intent schema.
  • Intent creation Create a new intent in the intent system and create a corresponding intent context.
  • Intention knowledge is the relevant parameters of the intent pattern stored in the intent knowledge base.
  • the above-mentioned relevant parameters may include one or more of the following: executable operations corresponding to the intent, entity identifiers of the intent, or entity types of the intent.
  • Intent operation the executable operation corresponding to the intent target.
  • the intent conflict may refer to a conflict between an intent that needs to be created and an active intent in the system.
  • FIG. 1 is a schematic structural diagram of a communication system 100 provided by an embodiment of the present application.
  • the communication system 100 includes a first network element 101 , a second network element 102 and a third network element 103 .
  • the second network element 102 may be a network element in a business support system (Business support systems, BSS), an operation support system (operation support systems, OSS), an application (APP) or a third-party user (User);
  • the first The network element 101 and the third network element 103 may be network elements in one or more of the following systems respectively: wireless intent driven network (wireless intent driven network, wIDN) system, European telecommunications standards institute (European telecommunications standards institute, ETSI)
  • ETSI European telecommunications standards institute
  • 3GPP 3rd generation partnership project
  • wIDN system It can translate intent commands into corresponding operation command sets for wireless networks, and also supports functions such as sub-intent decomposition and intent execution and maintenance.
  • the existing wIDN system architecture includes an intent management (Intent Management, IM) module, an intent translation (Intent Translation, IT) module, a knowledge management (Knowledge Management, KM) module, an intent decision and execution (Intent Decision and Execution, IDE) module.
  • intent management Intent Management, IT
  • IT intent Translation
  • KM knowledge management
  • IDE intent decision and execution
  • Intent Management Intent Management module: Intent mode management, intent instance management;
  • Intent Translation Intent Translation module: perform intent translation, translate the intent into criteria for judging whether the intent can be understood by the network, and the operations that need to be performed to achieve the intent;
  • Knowledge Management (Knowledge Management) module: manage intention knowledge and provide intention knowledge query function
  • the intent management module entity may include two sub-functions, which are Intent Instance Base and Intent Schema Base.
  • the intent instance library is used to store intent instances
  • the intent pattern library is used to store intent patterns.
  • the knowledge management module entity may include an intent knowledge base (Intent Knowledge Base), which is used to store intent knowledge.
  • the wIDN system proposed in the embodiment of the present application also includes an intent pre-evaluation and simulation (Intent Evaluation and Simulation, IES) module, as shown in FIG. 3 .
  • the intent pre-assessment and simulation modules are used for intent pre-assessment.
  • the intent pre-evaluation and simulation module can be implemented as an independent network element or functional module; it can also be implemented in the intent translation module, that is to say, the intent translation module is enhanced, and the enhanced intent translation module can realize intent pre-evaluation and the functions implemented by the simulation module.
  • the first network element 101 in the communication system shown in Figure 1 can be an intent pre-assessment and simulation module entity; in the communication system shown in Figure 1
  • the third network element 103 may be a knowledge management module entity.
  • the intent pre-evaluation and simulation module is implemented by the intent translation module
  • the first network element 101 in the communication system shown in Figure 1 may be the intent translation module entity.
  • the division of the foregoing modules is not fixed, and is merely an example, and is not limited in this embodiment of the present application.
  • ENI system The architecture of the ENI system is shown in Figure 4, including one or more of the following functional modules: input function block (Data Ingestion Function Block), normalization function block (Normalization Function Block), knowledge management function block (Knowledge Management Function Block), intent translation function block (Intent Translation Function Block), operation support system and business support system module (OSS-and BSS-like Functionality), third-party users (User).
  • input function block Data Ingestion Function Block
  • normalization function block Normalization Function Block
  • Knowledge Management Function Block Knowledge Management Function Block
  • intent translation function block Intent Translation Function Block
  • operation support system and business support system module OSS-and BSS-like Functionality
  • User third-party users
  • Input function module responsible for receiving data from external systems.
  • Normalization function module responsible for normalizing data and other operations.
  • Knowledge management function module responsible for analyzing the existing network status and storing intent knowledge and intent context knowledge.
  • Intent translation function module it is used to translate the received intention policy into a command that can be recognized by the ENI internal system, and it can be placed in the policy management function block (Policy Management Function Block).
  • Operation support system and business support system modules responsible for inputting intentions to the ENI system.
  • the ENI system proposed in the embodiment of the present application also includes an intent pre-assessment and simulation (Intent Evaluation and Simulation) module.
  • intent pre-assessment and simulation modules are used for intent pre-assessment.
  • the intent pre-evaluation and simulation module can be implemented as an independent network element or functional module; it can also be implemented in the intent translation module, that is to say, the intent translation module is enhanced, and the enhanced intent translation module can realize intent pre-evaluation and the functions implemented by the simulation module.
  • the first network element 101 in the communication system shown in Figure 1 can be an intent pre-assessment and simulation module entity; in the communication system shown in Figure 1
  • the third network element 103 may be a knowledge management function module entity.
  • the intention pre-assessment and simulation module is realized by the intention translation function module, the first network element 101 in the communication system shown in FIG.
  • the application examples are not limited.
  • IDMS system architecture is shown in Figure 5, including management service (management service, MnS) consumer (consumer) and MnS provider (producer).
  • MnS consumer in the embodiment of the present application may refer to the intended consumer
  • MnS producer in the embodiment of the present application may refer to the intended service provider.
  • MnS consumer is used to issue intent service requests, such as intent creation, intent modification, etc.
  • MnS producer is used for intent mode management and intent instance management; intent translation, which translates the intent into criteria that the network can understand to determine whether the intent is achieved or not, and the operations that need to be performed to achieve the intent; intent knowledge management, providing the intent knowledge query function; and intent execution.
  • the embodiment of the present application can improve the function of the intent service provider of the IDMS system, and add an intent pre-assessment function to implement the method described in the embodiment of the present application.
  • the existing intent system is shown in Figure 2, and the intent translation decision requires continuous trial and error. After the user sends the intent, select an operation through intent translation and intent decision-making. After the intent is implemented, if the result obtained after the intent implementation does not meet the intent goal, the decision is re-translated. If all operations are used and the intent goal cannot be met, Feedback to the user that the intent cannot be achieved.
  • the specific steps are shown in Figure 6.
  • the auxiliary system described in FIG. 6 may also be referred to as an intent action system, that is, a network element that generates an action by intent.
  • Step 1 The user sends the intent.
  • Step 2 The intent translation module in the intent system performs intent translation and decides on the intent operation.
  • Step 3 implement the intention according to the intention operation.
  • the intention system checks the result obtained after the implementation of the intention. If the result obtained after the implementation of the intention does not meet the goal of the intention, re-translate the intention in step 2 to obtain the intention operation, and re-execute the intention and correct the intention. The results obtained after implementation are checked.
  • Step 4 If the intention goal cannot be met after using all operations in step 3, feedback that the user's intention cannot be achieved.
  • step 2 and step 3 need to repeatedly try multiple intention operations, and each attempt will modify the network state, for example, the resource state of the network or the performance state of the network, and the execution efficiency of the intention is low. Therefore, how to improve the efficiency of intent execution is a technical problem being solved by those skilled in the art.
  • the embodiments of the present application propose the following solutions.
  • Fig. 7 is an intention pre-evaluation method provided by the embodiment of the present application. This method can be implemented during the intention creation process or after the intention creation. The method includes but is not limited to the following steps:
  • Step S701 the second network element sends the intended object and the pre-assessment type to the first network element.
  • Step S702 the first network element receives the intended object and pre-assessment type from the second network element.
  • the intent target includes an identification of the intent target (targetName) and/or a target value (targetValue) of the intent target.
  • targetName an identification of the intent target
  • targetValue a target value of the intent target.
  • the intended goal is to increase throughput by 10%
  • the identification of the intended goal may be throughput
  • the target value of the intended goal may be 10%.
  • the pre-assessment type includes pre-assessment information of an intention to achieve a result, or pre-assessment information of an impact on a network key performance indicator (key performance indicator, KPI).
  • KPI key performance indicator
  • the impact on the network KPI may refer to the impact on the network KPI after the implementation of the estimated intention goal.
  • the pre-assessment information of the influence of the network KPI may be a list of network KPIs.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, physical resource block (physical resource block, PRB) utilization rate, jitter, radio resource control (radio resource control, RRC) establishment success rate, service Quality of service (QoS) flow (Flow) establishment success rate, call establishment success rate, wireless call drop rate, same-frequency handover success rate, different-frequency handover success rate, central processing unit (CPU) utilization rate , cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink traffic, average number of users, maximum number of users, uplink interference noise, primary secondary cell (PSCell) replacement success rate, protocol data unit ( Protocol data unit, PDU) total number of packets, PDU total data volume, coverage curve, reference signal receiving power (reference signal receiving power, RSRP) average value, signal to interference plus noise ratio (signal to interference plus noise ratio, SINR) average value, Base station energy efficiency value, base station energy efficiency level.
  • RRC radio resource control
  • QoS quality of service
  • Flow service Quality
  • the first network element further receives indication information from the second network element, where the indication information is used to indicate to pre-evaluate the intended target.
  • the instruction information indicates that the intended target is not to be pre-evaluated, the subsequent steps are not performed.
  • the first network element also receives one or more of the following from the second network element: pre-evaluation termination condition, pre-evaluation maximum duration.
  • the pre-evaluation termination condition is used to determine whether the process of the first network element determining the result information corresponding to the pre-evaluation type according to the first information continues or terminates; the maximum duration of pre-evaluation is used to determine that the first network element determines the corresponding The result information of the process continues execution or terminates.
  • the first network element also receives a pre-evaluation termination condition from the second network element that the pre-evaluation process occupies more than 70% of system resources, that is, the pre-evaluation is stopped.
  • the first network element also receives the pre-assessment from the second network element.
  • the maximum duration is that the pre-assessment is stopped if the pre-assessment process takes more than 10 minutes.
  • the foregoing pre-evaluation process may be understood as a process in which the first network element determines result information corresponding to the pre-evaluation type according to the first information.
  • the intent target includes a first action.
  • the first operation may refer to all operations associated with the intent target.
  • the first operation may be obtained by the first network element from other network elements, or may be determined by the first network element according to the intended target.
  • the first operation may be an operation set list, and the operation set list includes one or more operations.
  • the first operation is operation set 1, wherein operation set 1 includes operation 1, operation 2, and operation 3.
  • Step S703 the third network element sends the first information to the first network element.
  • Step S704 the first network element receives the first information from the third network element.
  • the third network element may refer to one or more network elements.
  • the first information includes one or more of the following: operation impact information or impact information of the first KPI.
  • the operation impact information is used to indicate mutually exclusive information of the first operation
  • the first KPI impact information is used to indicate the impact of the first operation on the KPI associated with the intended target or on the network KPI.
  • the mutual exclusion information of the first operation includes identification information of mutually exclusive operations, or indication information indicating whether they are mutually exclusive. That is, assuming that the first operation includes multiple operations, the identification information of the mutually exclusive operations may refer to the identification information of the mutually exclusive operations among the multiple operations.
  • the first operation includes operation 1, operation 2, and operation 3, and its identification information is identification 1, identification 2, and identification 3.
  • the identification information of mutually exclusive operations is identification 1 and identification 3 .
  • the impact of the first operation on the KPI associated with the intended target may refer to the impact of the first operation on the KPI associated with the intended target among the network KPIs.
  • the influence of the first operation on the KPI associated with the intended target may be positive or negative.
  • the first operation includes operation 1 and operation 2, operation 1 can increase the rate by 3%, and operation 2 can increase the rate by 5%.
  • the first operation includes operation 1 and operation 2, operation 1 can increase the rate by 3%, and operation 2 can decrease the rate by 5%.
  • the impact of the first operation on the network KPI may also be a beneficial impact or a negative impact.
  • the first operation includes operation 1 and operation 2.
  • Operation 1 can increase the rate by 1% and decrease the delay by 1%
  • operation 2 can increase the rate by 5% and decrease the delay by 1%.
  • the first operation includes operation 1 and operation 2
  • operation 1 can increase the rate by 1% and reduce the delay by 1%
  • operation 2 can reduce the rate by 5% and increase the delay 5%.
  • the first information further includes one or more of the following: network performance data information, time information when the first operation takes effect, and information about other intended targets except the intended target.
  • Network performance data information refers to information that characterizes network performance, such as delay, throughput rate, rate, PRB utilization rate, jitter, RRC establishment success rate, QoS flow (Flow) establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink traffic, average number of users, maximum number of users, uplink interference noise, PSCell Replacement success rate, total number of PDU packets, total PDU data volume, coverage curve, average value of RSRP, average value of SINR, energy efficiency value of base station, energy efficiency level of base station, etc.
  • the third network element can refer to multiple network elements, for example, the third network element refers to three network elements, namely network element 1, network element 2 and network element 3, wherein the operation impact information and the impact of the first KPI
  • the information and the effective time information of the first operation may come from network element 1
  • the network performance data information may come from network element 2
  • the information of other intended objects except the intended object may come from network element 3.
  • the network performance data information may be determined by the third network element according to the first operation, or determined according to the context information of the intended target.
  • the context information of the intended target may be determined by the first network element according to the identifier of the intended target, and then the first network element sends the context information of the intended target to the third network element.
  • the first network element can monitor the pre-assessment process according to the network performance data information. If more than 70% of the system resources are occupied, the pre-evaluation is stopped. If the network performance data information shows that the pre-evaluation process occupies 80% of the system resources, the first network element stops the pre-evaluation.
  • the effective time information of the first operation may refer to the duration of the first operation effective, or may refer to the start time and end time of the first operation effective. Information on other intended objects than the intended object can be used for checking intention conflicts between the intended object and other intended objects.
  • Step S705 The first network element determines result information corresponding to the pre-assessment type according to the first information.
  • the result information includes: pre-assessment information of the intended result or pre-assessment information of the impact of the KPI.
  • the pre-assessment information of the intended result may refer to whether the intention can be achieved.
  • the first network element may determine result information according to the operation impact information, and the result information includes pre-assessment information intended to achieve a result.
  • the first network Element determines result information as intent unachievable based on operational impact information.
  • the first network element may determine result information according to the impact information of the first KPI, where the result information includes pre-assessment information of impact of KPIs.
  • the pre-evaluation type is the pre-evaluation information of the impact of network KPI
  • the impact information of the first KPI indicates the impact of the first operation on the KPI associated with the intended target
  • the first operation includes operation 1 and operation 2
  • the intended target is rate increase 10%
  • the impact information of the first KPI may mean that operation 1 can increase the rate by 3%
  • operation 2 can increase the rate by 5%
  • the first network element determines the result information according to the impact information of the first KPI
  • the result information includes The pre-assessment information of the impact of KPI, that is, operation 1 can increase the rate by 3%, and operation 2 can increase the rate by 5%.
  • the impact information of the first KPI indicates the impact of the first operation on the network KPI
  • the first operation includes operation 1
  • the network KPI includes rate and throughput
  • the first KPI The impact information may refer to that operation 1 can increase the rate by 3% and increase the throughput by 2%
  • the first network element determines the result information according to the impact information of the first KPI
  • the result information includes the pre-evaluation information of the impact of the KPI , that is, operation 1 can increase the speed by 3% and the throughput by 2%.
  • the result information also includes one or more of the following: the confidence level of the result information, the time required to achieve the intended goal, and the reasons for the failure to achieve the intended goal.
  • the confidence level of the result information may also refer to the degree of credibility of the result information, that is, the probability that the result information is considered accurate. For example, a confidence level of 90% means that there is 90% certainty that the result information is accurate.
  • the result information includes the pre-evaluation information of the impact of the KPI
  • the result information also includes one or more of the following: the confidence level of the result information, the KPI list corresponding to the pre-evaluation information of the KPI impact, and the pre-evaluation information of the KPI impact confidence level.
  • Step S706 the first network element sends the result information to the second network element.
  • Step S707 the second network element receives the result information from the first network element.
  • the second network element sends the intended target and the pre-assessment type to the first network element.
  • the first network element determines the result information corresponding to the pre-assessment type according to the first information, and sends the result information to the first network element.
  • the second network element sends the result information, which includes the pre-evaluation information of the intention to achieve the result and the pre-evaluation information of the impact of the KPI, which can realize whether the intention can be completed or the network after the intention is implemented without modifying the network status. It is beneficial for the second network element to take this as a reference and improve the efficiency of intent execution.
  • Figure 8 is an intention pre-assessment method provided by the embodiment of the present application, which includes but is not limited to the following steps:
  • Step S801 the second network element sends the pre-assessment information of the influence of the network KPI to the first network element.
  • Step S802 the first network element receives the pre-assessment information of the influence of the network KPI from the second network element.
  • the pre-assessment information of the influence of the network KPI may refer to a target name (targetName), for example, delay, rate, and throughput, but does not include a target value (targetValue) corresponding to the target name.
  • targetName target name
  • targetValue target value
  • the pre-assessment information of the influence of the network KPI may be throughput, and its targetName is "Object”.
  • the pre-assessment information of the influence of the network KPI may be latency, and its targetName is "Latency”.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, RRC establishment success rate, QoS Flow establishment success rate, call establishment success rate, wireless call drop rate, same-frequency handover Success rate, inter-frequency handover success rate, CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink traffic, average number of users, maximum number of users, uplink interference noise, success rate of PSCell replacement, PDU Total number of packets, total data volume of PDU, coverage curve, average value of RSRP, average value of SINR, energy efficiency value of base station, energy efficiency level of base station.
  • the first network element also receives one or more of the following from the second network element: pre-evaluation constraint conditions, pre-evaluation termination conditions, and pre-evaluation maximum duration;
  • pre-evaluation constraint conditions pre-evaluation termination conditions, and pre-evaluation maximum duration;
  • the process of evaluating the value corresponding to the evaluation information is subject to constraints.
  • the pre-evaluation termination condition is used to determine whether to continue or terminate the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information; the maximum duration of the pre-evaluation is used to determine The process of evaluating the value corresponding to the pre-evaluating information continues or terminates.
  • the pre-evaluation information of the influence of the network KPI sent by the second network element can be throughput, and its targetName is "Object", and the second network element hopes to return the throughput effect area such as "Golden Bridge", where the pre-evaluation constraint condition It can be "Object is ⁇ Zhangjiang, Jinqiao, Lujiazui ⁇ where the throughput rate is increased by 10% and the master device with the least modification can increase the Pudong throughput rate by 5%", correspondingly, the first network element performs pre-evaluation based on the first information
  • the assessment value process corresponding to the information is limited by the pre-assessment constraints, and the assessment value is one of "Zhangjiang, Jinqiao, Lujiazui".
  • the first network element also receives a pre-evaluation termination condition from the second network element that the pre-evaluation process occupies more than 70% of system resources, that is, the pre-evaluation is stopped.
  • the first network element also receives the pre-assessment from the second network element.
  • the maximum duration is that the pre-assessment is stopped if the pre-assessment process takes more than 10 minutes.
  • the foregoing pre-evaluation process may be understood as a process in which the first network element determines an evaluation value corresponding to the pre-evaluation information according to the first information.
  • Step S803 the third network element sends the first information to the first network element.
  • Step S804 the first network element receives the first information from the third network element.
  • the first information includes one or more of the following: operation influence information or influence information of the second KPI
  • the operation influence information is used to indicate mutually exclusive information of the second operation
  • the influence information of the second KPI is used to indicate the second operation Influence on the network KPI
  • the second operation is an operation that affects the network KPI.
  • the second operation is to affect the network KPI in the operation of affecting the network KPI, which may be the network KPI corresponding to the pre-evaluation information of the influence of the network KPI. For example, assuming that the pre-evaluation information of the influence of the network KPI is throughput, the second operation is Throughput operation.
  • the mutual exclusion information of the second operation includes identification information of mutually exclusive operations, or indication information indicating whether they are mutually exclusive. That is, assuming that the second operation includes multiple operations, the identification information of the mutually exclusive operations may refer to the identification information of the mutually exclusive operations among the multiple operations.
  • the second operation includes operation 1, operation 2, and operation 3, and its identification information is identification 1, identification 2, and identification 3.
  • the identification information of mutually exclusive operations is identification 1 and identification 3 .
  • the influence of the second operation on the network KPI may also be beneficial or negative.
  • the second operation that affects the throughput includes operation 1 and operation 2.
  • Operation 1 can increase the throughput by 1%
  • operation 2 can increase the throughput by 3%.
  • Operation 1 can reduce the throughput by 1%
  • operation 2 can reduce the throughput by 5%.
  • the first information further includes one or more items: network performance data information, time when the second operation takes effect, and information of intentions corresponding to network KPIs other than the network KPI.
  • the third network element may refer to multiple network elements, for example, the third network element refers to three network elements, namely network element 1, network element 2 and network element 3, wherein the operation influence information and the influence of the second KPI
  • the information and the effective time information of the second operation may come from the network element 1
  • the network performance data information may come from the network element 2
  • the intention information corresponding to other network KPIs except the network KPI may come from the network element 3.
  • Step S805 The first network element determines the evaluation value corresponding to the pre-evaluation information according to the first information.
  • the first network element may also determine the confidence level of the evaluation value.
  • the confidence degree of the evaluation value can also be understood as the reliability degree of the evaluation value.
  • the first network element determines the pre-assessment information according to the operation impact information and the impact information of the second KPI.
  • the second operation that affects throughput includes operation 1 and operation 2
  • the operation influence information is that operation 1 and operation 2 are mutually exclusive
  • the influence information of the second KPI can mean that operation 1 can make throughput Increase by 1%
  • operation 2 can increase the throughput rate by 3%
  • the evaluation value corresponding to the pre-evaluation information determined by the first network element is 3 %.
  • the first network element determines the evaluation value corresponding to the pre-evaluation information according to the impact information of the second KPI. For example, suppose the network KPI includes throughput, and the second operation that affects the throughput includes operation 1 and operation 2.
  • the impact information of the second KPI can mean that operation 1 can increase the throughput by 1%, and operation 2 can increase the throughput by 3. %; since the 3% increase in throughput by operation 2 is greater than the 1% increase in throughput by operation 1, the first network element determines that the evaluation value corresponding to the pre-evaluation information is 3%.
  • Step S806 the first network element sends the evaluation value to the second network element.
  • the first network element may also send the confidence level corresponding to the evaluation value and the pre-evaluation information of network KPI influence. For example, ⁇ object,3%,80%>, where object refers to the targetName of the pre-evaluation information affected by the network KPI; 3% refers to the evaluation value corresponding to the pre-evaluation information, and 80% refers to the confidence level corresponding to the evaluation value.
  • Step S807 the second network element receives the evaluation value from the first network element.
  • the second network element sends the pre-assessment information of the influence of the network KPI to the first network element, and correspondingly, the first network element determines the evaluation value of the pre-evaluation information according to the first information, and sends the
  • the evaluation value sent by the second network element can realize the feedback of the evaluation value without modifying the network state, which is beneficial for the second network element to use it as a reference and improve the efficiency of intent execution.
  • the system architecture to which the embodiment described in FIG. 9 is applicable may include: the intent pre-assessment and simulation module entity, the knowledge management module entity, the intent management module entity, the intent translation module entity, and the auxiliary system, BSS/OSS/APP in the wIDN system /User, the corresponding relationship between it and the first network element, the second network element, and the third network element is: the first network element is the intent pre-evaluation and simulation module entity in the wIDN system as shown in Figure 3, and the The three network elements are the knowledge management module entity, the intent management module entity, the intent translation module entity, and the auxiliary system in the wIDN system shown in Figure 3, and the second network element is the network element in the BSS/OSS/APP/User.
  • Figure 9 is an intention pre-assessment method provided by the embodiment of this application, which includes but is not limited to the following steps:
  • Step S901 BSS/OSS/APP/User sends the intent target and pre-evaluation type to the intent pre-assessment and simulation module entity through the intent management module entity.
  • BSS/OSS/APP/User may also send one or more of the following to the intent pre-evaluation and simulation module entity through the intent management module entity: pre-evaluation termination condition, pre-evaluation maximum duration.
  • Step S902 The intent pre-assessment and simulation module entity receives the intent target and pre-assessment type from the BSS/OSS/APP/User through the intent management module entity.
  • the intent pre-assessment and simulation module entity receives one or more of the following from the BSS/OSS/APP/User through the intent management module entity: pre-evaluation termination condition, pre-evaluation maximum duration.
  • the intent target includes an identification of the intent target (targetName) and/or a target value (targetValue) of the intent target.
  • the pre-assessment type includes the pre-assessment information of the intention to achieve the result, or the pre-assessment information of the influence of the network key performance indicator (key performance indicator, KPI).
  • KPI network key performance indicator
  • Step S903 The intent management module entity sends indication information to the intent translation module entity.
  • the indication information is used to instruct the schematic translation module entity to send the first operation to the intent pre-evaluation and simulation module entity.
  • the intent management module entity sends the intent target in addition to sending the indication information to the intent translation module entity.
  • the indication information and the intended target can be carried in one message.
  • Step S904 The intent translation module entity receives the indication information from the intent management module entity.
  • Step S905 The intent translation module entity sends the first operation to the intent pre-evaluation and simulation module entity.
  • the first operation is determined by the intent translation module entity according to the intent target.
  • Step S906 the intent pre-evaluation and simulation module entity receives the first operation from the intent translation module entity.
  • Step S907 The intent pre-assessment and simulation module entity sends a performance data request message to the auxiliary system.
  • this step is an optional step, and the performance data request message includes the first operation.
  • the performance data request message may also be a measurement task request message.
  • Step S908 the auxiliary system receives the performance data request message from the intent pre-assessment and simulation module entity.
  • this step is an optional step.
  • Step S909 the auxiliary system sends a performance data response message to the intent pre-assessment and simulation module entity.
  • this step is an optional step, for example, the performance data response message includes network performance data information, and the network performance data information is determined according to the first operation.
  • the network performance data information is the network performance data information in the first information in the embodiment of FIG. 7 , for details, refer to step S704 , which will not be repeated here.
  • the performance data response message may be a measurement task response message.
  • Step S910 the intent pre-assessment and simulation module entity receives the performance data response message from the auxiliary system.
  • this step is an optional step.
  • the intent pre-evaluation and simulation module entity sends a performance data request message to the auxiliary system.
  • the auxiliary system sends a performance data response message to the intent pre-evaluation and simulation module entity according to the performance data request message, which can assist in judging the pre-evaluation termination condition And the maximum duration of pre-evaluation can make the value of network KPI more accurate.
  • Step S911 the intent pre-assessment and simulation module entity sends an operation information request message to the knowledge management module entity.
  • Step S912 the knowledge management module entity receives the operation information request message from the intent pre-assessment and simulation module entity.
  • the operation information request message includes the identification of the first operation.
  • Step S913 The knowledge management module entity sends an operation information response message to the intent pre-assessment and simulation module entity.
  • Step S914 The intent pre-assessment and simulation module entity receives the operation information response message from the knowledge management module entity.
  • the operation information response message includes operation impact information or impact information of the first KPI.
  • the operation impact information is used to indicate mutually exclusive information of the first operation
  • the first KPI impact information is used to indicate the impact of the first operation on the KPI associated with the intended target or on the network KPI.
  • the operation information response information may also include information about the effective time of the first operation.
  • the operation impact information, the impact information of the first KPI, and the effective time information of the first operation are the operation impact information, the impact information of the first KPI, and the effective time information of the first operation in the first information in the embodiment in FIG. 7 , for details, refer to step S704, which will not be repeated here.
  • Step S915 the intent pre-assessment and simulation module entity sends other intent request messages to the intent management module entity.
  • this step is an optional step.
  • Step S916 the intent management module entity receives other intent request messages from the intent pre-assessment and simulation module entity.
  • this step is an optional step.
  • Step S917 the intent management module entity sends other intent response messages to the intent pre-assessment and simulation module entity.
  • this step is an optional step.
  • Step S918 the intent pre-assessment and simulation module entity receives other intent response messages from the intent management module entity.
  • this step is an optional step.
  • the other intent response message includes information on other intent targets than the intent target.
  • the information of other intended objects except this intended object is the information of other intended objects except this intended object in the first information in the embodiment of FIG. 7 , for details, refer to step S704 , which will not be repeated here.
  • the corresponding intent management module entity sends other intent response messages to the intent pre-evaluation and simulation module entity according to other intent request messages, which can assist the intent system Detect intent conflicts and improve system performance.
  • Step S919 The intent pre-assessment and simulation module entity determines the result information corresponding to the pre-assessment type according to the first information.
  • the first information includes one or more of the following: operation impact information or impact information of the first KPI.
  • the first information further includes one or more of the following: network performance data information, time information when the first operation takes effect, and information about other intended targets except the intended target. For details, reference may be made to step S705, which will not be repeated here.
  • Step S920 the intent pre-assessment and simulation module sends result information to the BSS/OSS/APP/User through the intent management module entity.
  • Step S921 BSS/OSS/APP/User receives the result information from the intent pre-assessment and simulation module entity through the intent management module entity.
  • the translation module entity and the intent pre-evaluation module entity shown in Figure 9 can be integrated into one module entity, for example, the intent translation pre-evaluation module entity, and the intent translation pre-evaluation module entity can simultaneously implement the intent translation module entity and the intent pre-evaluation module The functions implemented by the entity will not be repeated here.
  • the system architecture applicable to the embodiment described in FIG. 10 may include: the intent translation pre-evaluation module entity, the knowledge management module entity, the intent management module entity, and the auxiliary system, BSS/OSS/APP/User in the wIDN system, which are related to the first
  • the corresponding relationship between the first network element, the second network element and the third network element is: the first network element is the intent translation pre-evaluation module entity in the wIDN system, where the intent translation pre-evaluation module entity is the intent pre-evaluation and simulation module and the intent
  • the module entity that integrates the functions of the translation module the third network element is the knowledge management module entity, the intent management module entity, and the auxiliary system in the wIDN system shown in Figure 3, and the second network element is BSS/OSS/APP NEs in /User.
  • Step S1001 BSS/OSS/APP/User creates intent.
  • Step S1002 BSS/OSS/APP/User sends the intent target and pre-evaluation type to the intent translation pre-evaluation module entity through the intent management module entity.
  • BSS/OSS/APP/User can also send one or more of the following to the intent translation pre-evaluation module entity through the intent management module entity: pre-evaluation termination condition, pre-evaluation maximum duration.
  • Step S1003 The intent translation pre-evaluation module entity receives the intent target and pre-evaluation type from the BSS/OSS/APP/User through the intent management module entity.
  • the intent translation pre-evaluation module entity may also receive one or more of the following items from the BSS/OSS/APP/User through the intent management module entity: pre-evaluation termination condition, pre-evaluation maximum duration.
  • Step S1004 The intent translation pre-evaluation module entity sends a performance data request message to the auxiliary system.
  • the performance data request message includes contextual information of the intent.
  • the context information of the intent is determined by the entity of the intent translation pre-evaluation module according to the intent target.
  • the contextual information of the intent includes the first action.
  • the performance data request message may be a measurement task request message.
  • Step S1005 the assistance system receives the performance data request message from the intent translation pre-evaluation module entity.
  • this step is an optional step.
  • Step S1006 the assistance system sends a performance data response message to the intent translation pre-evaluation module entity.
  • the performance data response message includes network performance data information, and the network performance data information is determined according to the first operation.
  • the network performance data information is the network performance data information in the first information in the embodiment of FIG. 7 , for details, refer to step S704 , which will not be repeated here.
  • the performance data response message may be a measurement task response message.
  • Step S1007 The intent translation pre-evaluation module entity receives the performance data response message from the auxiliary system.
  • this step is an optional step.
  • the intent translation pre-evaluation module entity sends a performance data request message to the auxiliary system.
  • the auxiliary system sends a performance data response message to the intent translation pre-evaluation module entity according to the performance data request message.
  • the maximum duration of evaluation can make the value of network KPI more accurate.
  • Step S1008 The intent translation pre-evaluation module entity sends an operation information request message to the knowledge management module entity.
  • Step S1009 the knowledge management module entity receives the operation information request message from the intent translation pre-evaluation module entity.
  • the operation information request information includes the identifier of the first operation.
  • Step S1010 The knowledge management module entity sends an operation information response message to the intent translation pre-evaluation module entity.
  • Step S1011 The intent translation pre-evaluation module entity receives the operation information response message from the knowledge management module entity.
  • the operation information response message includes operation impact information or impact information of the first KPI.
  • the operation impact information is used to indicate mutually exclusive information of the first operation
  • the first KPI impact information is used to indicate the impact of the first operation on the KPI associated with the intended target or on the network KPI.
  • the operation information response message may also include information about the effective time of the first operation.
  • the operation impact information, the impact information of the first KPI, and the effective time information of the first operation are the operation impact information, the impact information of the first KPI, and the effective time information of the first operation in the first information in the embodiment in FIG. 7 , for details, refer to step S704, which will not be repeated here.
  • Step S1012 The intent translation pre-evaluation module entity sends other intent request messages to the intent management module entity.
  • this step is an optional step.
  • Step S1013 the intent management module entity receives other intent request messages from the intent translation pre-evaluation module entity.
  • this step is an optional step.
  • Step S1014 The intent management module entity sends other intent response messages to the intent translation pre-evaluation module entity.
  • this step is an optional step.
  • Step S1015 The intent translation pre-evaluation module entity receives other intent response messages from the intent management module entity.
  • this step is an optional step.
  • the other intent response message includes information on other intent targets than the intent target.
  • the information of other intended objects except this intended object is the information of other intended objects except this intended object in the first information in the embodiment of FIG. 7 , for details, refer to step S704 , which will not be repeated here.
  • the intent translation pre-evaluation module entity sends other intent request messages to the intent management module entity, and the corresponding intent management module entity sends other intent response messages to the intent translation pre-evaluation module entity according to other intent request messages, which can assist the intent system to perform intent Conflict detection improves system performance.
  • Step S1016 The intent translation pre-evaluation module entity determines the result information corresponding to the pre-evaluation type according to the first information.
  • the first information includes one or more of the following: operation impact information or impact information of the first KPI.
  • the first information further includes one or more of the following: network performance data information, time information when the first operation takes effect, and information about other intended targets except the intended target. For details, reference may be made to step S705, which will not be repeated here.
  • Step S1017 The intent translation pre-evaluation module entity sends the result information to the BSS/OSS/APP/User through the intent management module entity.
  • Step S1018 BSS/OSS/APP/User receives the result information from the intent translation pre-evaluation module entity through the intent management module entity.
  • the translation pre-evaluation module entity shown in Fig. 10 can also be split into an intent translation module entity and an intent pre-evaluation module entity, which will not be repeated here.
  • the system architecture to which the embodiment described in FIG. 11 is applicable may include: the intent pre-assessment and simulation module entity, the knowledge management module entity, the intent management module entity, the intent translation module entity, and the auxiliary system, BSS/OSS/APP in the wIDN system /User, the corresponding relationship between it and the first network element, the second network element, and the third network element is as follows: the first network element is the intent pre-evaluation and simulation module entity in the wIDN system as shown in Figure 3, and the The three network elements are the knowledge management module entity, the intent management module entity, the intent translation module entity, and the auxiliary system in the wIDN system as shown in FIG. 3 , and the second network element is the network element in BSS/OSS/APP/User.
  • Step S1101 BSS/OSS/APP/User sends the pre-evaluation information of the influence of the network KPI to the intent pre-evaluation and simulation module entity through the intent management module entity.
  • BSS/OSS/APP/User can also send one or more of the following to the intent pre-evaluation and simulation module entity through the intent management module entity: pre-evaluation constraint conditions, pre-evaluation termination conditions, and pre-evaluation maximum duration.
  • Step S1102 The intent pre-assessment and simulation module entity receives the pre-assessment information of the influence of the network KPI from the BSS/OSS/APP/User through the intent management module entity.
  • the intent pre-evaluation and simulation module entity receives one or more of the following items from the BSS/OSS/APP/User through the intent management module entity: pre-evaluation constraint conditions, pre-evaluation termination conditions, and pre-evaluation maximum duration. For details, reference may be made to step S802, which will not be repeated here.
  • Step S1103 The intent translation module entity performs intent translation.
  • the intent translation module entity may receive indication information from the intent management module entity, where the indication information may include pre-assessment information on the influence of network KPIs.
  • the intent translation by the intent translation module entity may mean that the intent translation module entity determines the second operation according to the pre-assessment information of the influence of the network KPI, wherein the second operation is an operation that affects the network KPI.
  • Step S1104 Perform lexical syntax analysis on the intent translation module entity.
  • Step S1105 The intent translation module entity sends the second operation to the intent pre-evaluation and simulation module entity.
  • the identification information of the second operation is sent.
  • Step S1106 the intent pre-evaluation and simulation module entity receives the second operation from the intent translation module entity.
  • Step S1107 The intent pre-assessment and simulation module entity sends a performance data request message to the auxiliary system.
  • this step is an optional step, and the performance data request message includes the second operation.
  • the performance data request message may be a measurement task request message.
  • Step S1108 the auxiliary system receives the performance data request message from the intent pre-assessment and simulation module entity.
  • this step is an optional step.
  • Step S1109 the auxiliary system sends a performance data response message to the intent pre-assessment and simulation module entity.
  • the performance data response message includes network performance data information, and the network performance data information is determined according to the second operation.
  • the network performance data message is the network performance data information in the first information in the embodiment of FIG. 8 , for details, refer to step S804 , which will not be repeated here.
  • the performance data response message may be a measurement task response message.
  • Step S1110 the intent pre-assessment and simulation module entity receives the performance data response message from the auxiliary system.
  • this step is an optional step.
  • the intent pre-evaluation and simulation module entity sends a performance data request message to the auxiliary system.
  • the auxiliary system sends a performance data response message to the intent pre-evaluation and simulation module entity according to the performance data request message, which can assist in judging the pre-evaluation termination condition And the maximum duration of pre-evaluation can make the value of network KPI more accurate.
  • Step S1111 The intent pre-assessment and simulation module entity sends an operation information request message to the knowledge management module entity.
  • Step S1112 the knowledge management module entity receives the operation information request message from the intent pre-assessment and simulation module entity.
  • the operation information request message includes the identification of the second operation.
  • Step S1113 The knowledge management module entity sends an operation information response message to the intent pre-assessment and simulation module entity.
  • Step S1114 The intent pre-assessment and simulation module entity receives the operation information response message from the knowledge management module entity.
  • the operation information response message includes operation impact information or impact information of the second KPI.
  • the operation impact information is used to indicate mutually exclusive information of the second operation
  • the second KPI impact information is used to indicate the impact of the second operation on the network KPI.
  • the operation information response message may also include information about the effective time of the second operation.
  • the operation impact information, the impact information of the second KPI, and the effective time information of the second operation are the operation impact information, the impact information of the second KPI, and the effective time information of the second operation in the first information in the embodiment in Fig. 8 , for details, refer to step S804, which will not be repeated here.
  • Step S1115 the intent pre-assessment and simulation module entity sends other intent request messages to the intent management module entity.
  • this step is an optional step.
  • Step S1116 the intent management module entity receives other intent request messages from the intent pre-assessment and simulation module entity.
  • this step is an optional step.
  • Step S1117 The intent management module entity sends other intent response messages to the intent pre-assessment and simulation module entity.
  • this step is an optional step.
  • Step S1118 the intent pre-assessment and simulation module entity receives other intent response messages from the intent management module entity.
  • this step is an optional step.
  • other intent response messages include intent information corresponding to network KPIs other than the network KPI.
  • the information of intentions corresponding to network KPIs other than network KPIs is the information of intentions corresponding to network KPIs other than network KPIs in the first information in the embodiment of FIG. Let me repeat.
  • the corresponding intent management module entity sends other intent response messages to the intent pre-evaluation and simulation module entity according to other intent request messages, which can assist the intent system Detect intent conflicts and improve system performance.
  • Step S1119 The intent pre-assessment and simulation module entity determines the evaluation value corresponding to the pre-evaluation information according to the first information.
  • the first information includes one or more of the following: operation impact information or impact information of the second KPI.
  • the first information further includes one or more of the following: network performance data information, time information when the second operation takes effect, and information corresponding to other network KPIs except the network KPI. For details, reference may be made to step S805, which will not be repeated here.
  • Step S1120 the intent pre-assessment and simulation module sends the evaluation value to the BSS/OSS/APP/User through the intent management module entity.
  • the evaluation value may be carried in an intent creation completion message.
  • Step S1121 BSS/OSS/APP/User receives the evaluation value from the intent pre-assessment and simulation module entity through the intent management module entity.
  • the translation module entity and the intent pre-evaluation module entity shown in Figure 11 can be integrated into one module entity, for example, the intent translation pre-evaluation module entity, and the intent translation pre-evaluation module entity can simultaneously implement the intent translation module entity and the intent pre-evaluation module The functions realized by the entity will not be repeated here.
  • FIG. 12 is a schematic structural diagram of an intention pre-assessment device 1200 provided by an embodiment of the present application.
  • the device 1200 may include a communication unit 1201 and a processing unit 1202 , where each unit is described in detail as follows.
  • the communication unit 1201 is configured to receive an intended goal and a pre-assessment type from a second network element, where the pre-assessment type includes pre-assessment information on the intended achievement of a result, or pre-assessment information on the impact of a network key performance indicator KPI, where the intended goal includes first operation;
  • the communication unit 1201 is configured to receive first information from the third network element, where the first information includes one or more of the following: operation impact information or impact information of the first KPI.
  • the operation impact information is used to indicate mutual exclusion information of the first operation
  • the first KPI impact information is used to indicate the impact of the first operation on the KPI associated with the intended target or on the network KPI;
  • the processing unit 1202 is configured to determine result information corresponding to the pre-assessment type according to the first information, the result information including: pre-assessment information of the intention to achieve the result or pre-assessment information of the influence of the KPI;
  • the communication unit 1201 is configured to send the result information to the second network element.
  • the intended goal includes an identifier of the intended goal and/or a target value of the intended goal.
  • the communication unit 1201 is further configured to receive one or more of the following from the second network element: a pre-evaluation termination condition, a maximum pre-evaluation duration, and the pre-evaluation termination condition is used to determine the The process of the device determining the result information corresponding to the pre-assessment type according to the first information continues or terminates; the maximum pre-assessment duration is used to determine whether the process of the device determining the result information corresponding to the pre-assessment type according to the first information continues or terminates.
  • the result information includes pre-assessment information of the intention to achieve the result
  • the result information also includes one or more of the following: the confidence of the result information, the time required to achieve the intended goal, and the failure to achieve the intended goal s reason.
  • the result information includes pre-evaluation information on the impact of the KPI
  • the result information also includes one or more of the following: the confidence level of the result information, the pre-evaluation information on the impact of the KPI The KPI list corresponding to the information, and the confidence level of the pre-evaluation information of the influence of the KPI.
  • the first information further includes one or more of the following: network performance data information, time information on when the first operation takes effect, and other intended targets except the intended target information.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service Downlink traffic, average number of users, maximum number of users, uplink interference and noise, auxiliary main PSCell replacement success rate, total number of PDU packets, total PDU data volume, coverage curve, reference signal received power RSRP average, signal-to-interference-noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes identification information of mutually exclusive operations, or indication information indicating whether mutual exclusion is performed.
  • FIG. 12 is a schematic structural diagram of an intention pre-assessment device 1200 provided by an embodiment of the present application.
  • the device 1200 may include a communication unit 1201 and a processing unit 1202 , where each unit is described in detail as follows.
  • the communication unit 1201 is configured to receive pre-assessment information on the influence of the network key performance indicator KPI from the second network element;
  • a communication unit 1201 configured to receive first information from a third network element, where the first information includes one or more of the following: operation impact information or second KPI impact information, where the operation impact information is used to indicate the interaction of the second operation Exclusion information, the impact information of the second KPI is used to indicate the impact of the second operation on the network KPI, and the second operation is an operation that affects the network KPI;
  • a processing unit 1202 configured to determine an evaluation value corresponding to the pre-evaluation information according to the first information
  • the communication unit 1201 is configured to send the evaluation value to the second network element.
  • the communication unit 1201 is further configured to receive one or more of the following from the second network element: pre-evaluation constraint condition, pre-evaluation termination condition, pre-evaluation maximum duration;
  • pre-evaluation termination condition is used to determine whether the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information continues or terminates;
  • pre-evaluation maximum The duration is used to determine whether the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information continues to be executed or terminated.
  • the communication unit 1201 is configured to determine an evaluation value corresponding to the pre-evaluation information and a confidence degree of the evaluation value according to the first information.
  • the first information further includes one or more of the following: network performance data information, time when the second operation takes effect, and intent information corresponding to network KPIs other than the network KPI .
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow Establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data service downlink Traffic, average number of users, maximum number of users, uplink interference and noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, average value of reference signal received power RSRP, signal to interference and noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes mutual exclusion operation identification information, or indication information indicating whether mutual exclusion is performed.
  • FIG. 13 is an intention pre-assessment device 1300 provided by an embodiment of the present application.
  • the device 1300 includes at least one processor 1301 and a communication interface 1303.
  • it also includes a memory 1302.
  • the processor 1301 , memory 1302 and communication interface 1303 are connected to each other through bus 1304 .
  • Memory 1302 includes, but is not limited to, random access memory (random access memory, RAM), read-only memory (read-only memory, ROM), erasable programmable read-only memory (erasable programmable read only memory, EPROM), or Portable read-only memory (compact disc read-only memory, CD-ROM), the memory 1302 is used for related computer programs and data.
  • the communication interface 1303 is used to receive and send data.
  • the processor 1301 may be one or more central processing units (central processing unit, CPU).
  • CPU central processing unit
  • the CPU may be a single-core CPU or a multi-core CPU.
  • the processor 1301 in the device 1300 is used to read the computer program code stored in the memory 1302, and perform the following operations:
  • the pre-assessment type includes pre-assessment information of the intention to achieve a result, or pre-assessment information of the influence of the network key performance indicator KPI, the intention
  • the target includes a first action
  • the first information from the third network element is received through the communication interface 1303, where the first information includes one or more of the following: operation impact information or impact information of the first KPI, where the operation impact information is used to indicate the The mutually exclusive information of the first operation, the impact information of the first KPI is used to indicate the impact of the first operation on the KPI associated with the intended target or the impact on the network KPI;
  • result information corresponding to the pre-evaluation type according to the first information, where the result information includes: pre-evaluation information intended to achieve a result or pre-evaluation information on the impact of KPIs;
  • the intended goal includes an identifier of the intended goal and/or a goal value of the intended goal.
  • the at least one processor 1301 is further configured to receive one or more of the following from the second network element through the communication interface 1303: pre-evaluation termination condition, pre-evaluation The maximum duration, the pre-evaluation termination condition is used to determine the continuation or termination of the process of the device determining the result information corresponding to the pre-evaluation type according to the first information; the maximum pre-evaluation duration is used to determine whether the device The process of determining the result information corresponding to the pre-assessment type according to the first information is continued or terminated.
  • the result information further includes one or more of the following: the confidence of the result information, the intention The length of time required to achieve the goal, and the reasons why the stated intended goal was not achieved.
  • the result information further includes one or more of the following: the confidence level of the result information, the KPI The KPI list corresponding to the pre-evaluation information of the impact of the KPI, and the confidence level of the pre-evaluation information of the impact of the KPI.
  • the first information further includes one or more of the following: network performance data information, time information when the first operation takes effect, and other information other than the intended target Information about the intended target.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data Service downlink traffic, average number of users, maximum number of users, uplink interference noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, reference signal received power RSRP average, signal interference Noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes identification information of mutually exclusive operations, or indication information indicating whether mutual exclusion is performed.
  • FIG. 13 is an intention pre-assessment device 1300 provided by an embodiment of the present application.
  • the device 1300 includes at least one processor 1301 and a communication interface 1303.
  • it also includes a memory 1302.
  • the processor 1301 , memory 1302 and communication interface 1303 are connected to each other through bus 1304 .
  • Memory 1302 includes, but is not limited to, random access memory (random access memory, RAM), read-only memory (read-only memory, ROM), erasable programmable read-only memory (erasable programmable read only memory, EPROM), or Portable read-only memory (compact disc read-only memory, CD-ROM), the memory 1302 is used for related computer programs and data.
  • the communication interface 1303 is used to receive and send data.
  • the processor 1301 may be one or more central processing units (central processing unit, CPU).
  • CPU central processing unit
  • the CPU may be a single-core CPU or a multi-core CPU.
  • the processor 1301 in the device 1300 is used to read the computer program code stored in the memory 1302, and perform the following operations:
  • the first information from the third network element is received through the communication interface 1303, where the first information includes one or more of the following: operation impact information or impact information of the second KPI, where the operation impact information is used to indicate the first Mutually exclusive information of two operations, the influence information of the second KPI is used to indicate the influence of the second operation on the network KPI, the second operation is an operation affecting the network KPI;
  • the at least one processor 1301 is further configured to receive one or more of the following from the second network element through the communication interface 1303: pre-evaluation constraint conditions, pre-evaluation termination conditions, The maximum duration of pre-evaluation; the pre-evaluation constraint condition is used to indicate the constraints on the execution of the process of determining the evaluation value corresponding to the pre-evaluation information according to the first information, and the pre-evaluation termination condition is used to determine the The process of determining the evaluation value corresponding to the pre-evaluation information according to the first information continues or terminates; the maximum duration of pre-evaluation is used to determine the evaluation value corresponding to the pre-evaluation information according to the first information The process continues or terminates.
  • the at least one processor 1301 is further configured to determine the confidence level of the evaluation value according to the first information.
  • the first information further includes one or more of the following: network performance data information, the effective time of the second operation, and other network KPIs except the network KPI Information about the intent corresponding to the KPI.
  • the network KPI includes one or more of the following: delay, throughput rate, rate, PRB utilization rate, jitter, radio resource control RRC establishment success rate, quality of service flow QoS Flow establishment success rate, call establishment success rate, wireless call drop rate, intra-frequency handover success rate, inter-frequency handover success rate, central processing unit CPU utilization rate, cell availability rate, wireless network availability rate, data service uplink traffic, data Service downlink traffic, average number of users, maximum number of users, uplink interference noise, PSCell replacement success rate of auxiliary primary cell, total number of PDU packets, total data volume of PDU, coverage curve, reference signal received power RSRP average, signal interference Noise ratio SINR average value, base station energy efficiency value, base station energy efficiency level.
  • the mutual exclusion information includes mutual exclusion operation identification information, or indication information indicating whether mutual exclusion is performed.
  • the method steps in the embodiments of the present application may be implemented by means of hardware, or may be implemented by means of a processor executing software instructions.
  • Software instructions can be composed of corresponding software modules, and software modules can be stored in random access memory, flash memory, read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only Memory, registers, hard disk, removable hard disk, CD-ROM or any other form of storage medium known in the art.
  • An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium.
  • the storage medium may also be a component of the processor.
  • the processor and storage medium can be located in the ASIC.
  • the ASIC can be located in a network device or a terminal device. Certainly, the processor and the storage medium may also exist in the network device or the terminal device as discrete components.
  • all or part of them may be implemented by software, hardware, firmware or any combination thereof.
  • software When implemented using software, it may be implemented in whole or in part in the form of a computer program product.
  • the computer program product comprises one or more computer programs or instructions. When the computer program or instructions are loaded and executed on the computer, the processes or functions described in the embodiments of the present application are executed in whole or in part.
  • the computer may be a general purpose computer, a special purpose computer, a computer network, network equipment, user equipment, or other programmable devices.
  • the computer program or instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instructions may be downloaded from a website, computer, A server or data center transmits to another website site, computer, server or data center by wired or wireless means.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center integrating one or more available media.
  • the available medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; it may also be an optical medium, such as a digital video disk; and it may also be a semiconductor medium, such as a solid state disk.
  • “at least one” means one or more, and “multiple” means two or more.
  • “And/or” describes the association relationship of associated objects, indicating that there can be three types of relationships, for example, A and/or B, which can mean: A exists alone, A and B exist at the same time, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the contextual objects are an “or” relationship; in the formulas of this application, the character “/” indicates that the contextual objects are a "division” Relationship.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

本申请实施例提供一种意图预评估方法及装置，该方法包括：第一网元接收来自第二网元的意图目标和预评估类型，预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，意图目标包括第一操作；接收来自第三网元的第一信息，第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，操作影响信息用于指示第一操作的互斥信息，第一KPI的影响信息用于指示第一操作对意图目标关联的KPI的影响或者对网络KPI的影响；根据第一信息确定预评估类型对应的结果信息并向第二网元发送，结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息，采用本申请实施例，能够有利于提升意图执行效率。

Description

一种意图预评估方法及装置
本申请要求于2021年10月20日提交中国专利局、申请号为202111223276.2、申请名称为“一种意图预评估方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信技术领域，尤其涉及一种意图预评估方法及装置。
背景技术
现有意图系统中，意图转译决策需要不断尝试操作。用户下发意图目标后，通过意图转译和意图决策，选取出与意图目标相关的操作，并根据该操作进行意图目标的实施，在意图目标实施过程中，若增益不满足意图目标，则重新转译决策，若使用了所有操作仍无法满足增益，则反馈给用户意图目标无法达成。然而在意图目标无法达成的情况下，意图目标的实施会修改当前的网络状态，意图执行效率低，因此，如何提升意图执行效率，是本领域人员正在解决的技术问题。
发明内容
本申请公开了一种意图预评估方法及装置，能够在不修改网络状态的情况下获知意图能否完成或获知意图实施后对网络的影响，有利于提升意图执行效率。
本申请实施例第一方面公开了一种意图预评估方法，包括：
第一网元接收来自第二网元的意图目标和预评估类型，预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，意图目标包括第一操作；
第一网元接收来自第三网元的第一信息，第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，操作影响信息用于指示第一操作的互斥信息，第一KPI的影响信息用于指示第一操作对意图目标关联的KPI的影响或者对网络KPI的影响；
第一网元根据第一信息确定预评估类型对应的结果信息，结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；
第一网元向第二网元发送结果信息。
在上述方法中，通过第二网元向第一网元发送意图目标和预评估类型，相应的，第一网元根据第一信息确定预评估类型对应的结果信息，并向第二网元发送结果信息，该结果信息包括意图达成结果的预评估信息和KPI的影响的预评估信息，能够实现在不修改网络状态的情况下获知意图能否完成或获知意图实施后对网络的影响，有利于第二网元以此为参考，并提升意图执行效率。
在一种可能的实现方式中，意图目标包括意图目标的标识和/或意图目标的目标值。
在又一种可能的实现方式中，第一网元还接收来自第二网元的以下一项或多项：预评估终止条件、预评估最大时长，预评估终止条件用于确定第一网元根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止；预评估最大时长用于确定第一网元根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止。
在上述方法中，通过预评估终止条件、预评估最大时长，能够使预评估过程在合理范围内进行，从而提升系统性能。
在又一种可能的实现方式中，若结果信息包括意图达成结果的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、意图目标达成需要的时长、意图目标未达成的原因。
在上述方法中，通过结果信息包括上述一项或多项，以供第二网元进行分析，有利于提升意图执行效率。
在又一种可能的实现方式中，若结果信息包括KPI的影响的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、KPI的影响的预评估信息对应的KPI列表、KPI的影响的预评估信息的置信度。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第一操作的生效的时间信息、以及除意图目标之外的其他意图目标的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。
本申请实施例第二方面公开了一种意图预评估方法，包括：
第二网元向第一网元发送意图目标和预评估类型，预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，意图目标包括第一操作；
第二网元接收来自第一网元的结果信息，结果信息为第一网元根据第一信息确定预评估类型对应的结果信息，结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，操作影响信息用于指示第一操作的互斥信息，第一KPI的影响信息用于指示第一操作对意图目标关联的KPI的影响或者对网络KPI的影响。
在上述方法中，通过第二网元向第一网元发送意图目标和预评估类型，相应的，第一网元根据第一信息确定预评估类型对应的结果信息，并向第二网元发送结果信息，该结果信息包括意图达成结果的预评估信息和KPI的影响的预评估信息，能够实现在不修改网络状态的情况下获知意图能否完成或获知意图实施后对网络的影响，有利于第二网元以此为参考，并提升意图执行效率。
在一种可能的实现方式中，意图目标包括意图目标的标识和/或意图目标的目标值。
在又一种可能的实现方式中，第二网元还向第一网元发送以下一项或多项：预评估终止条件、预评估最大时长，预评估终止条件用于确定第一网元根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止；预评估最大时长用于确定第一网元根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止。
在又一种可能的实现方式中，若结果信息包括意图达成结果的预评估信息，结果信息还 包括以下一项或多项：结果信息的置信度、意图目标达成需要的时长、意图目标未达成的原因。
在又一种可能的实现方式中，若结果信息包括KPI的影响的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、KPI的影响的预评估信息对应的KPI列表、KPI的影响的预评估信息的置信度。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第一操作的生效的时间信息、以及除意图目标之外的其他意图目标的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。
本申请实施例第三方面公开了一种意图预评估方法，包括：
第一网元接收来自第二网元的网络关键性能指标KPI的影响的预评估信息；
第一网元接收来自第三网元的第一信息，第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，操作影响信息用于指示第二操作的互斥信息，第二KPI的影响信息用于指示第二操作对网络KPI的影响，第二操作为影响网络KPI的操作；
第一网元根据第一信息确定预评估信息对应的评估值；
第一网元向第二网元发送评估值。
在上述方法中，通过第二网元向第一网元发送网络KPI的影响的预评估信息，相应的，第一网元根据第一信息确定预评估信息的评估值，并向第二网元发送评估值，能够实现在不修改网络状态的情况下反馈评估值，有利于第二网元以此为参考，并有利于提升意图执行效率。
在一种可能的实现方式中，第一网元还接收来自第二网元的以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长；预评估约束条件用于指示执行根据第一信息确定预评估信息对应的评估值的过程所受到的约束，预评估终止条件用于确定根据第一信息确定预评估信息对应的评估值过程继续执行或终止；预评估最大时长用于确定根据第一信息确定预评估信息对应的评估值的过程继续执行或终止。
在上述方法中，通过预评估约束条件、预评估终止条件、预评估最大时长，能够使预评估过程在合理范围内进行，从而提升系统性能。
在又一种可能的实现方式中，第一网元根据第一信息确定预评估信息对应的评估值，包括：第一网元根据第一信息确定预评估信息对应的评估值、以及评估值的置信度。
在上述方法中，通过确定评估值的置信度，并向第二网元发送该评估值的置信度的方式，以供第二网元参考，有利于提升意图执行效率。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第二操作的生效的时间、以及除网络KPI之外的其他网络KPI对应的意图的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作标识信息，或指示是否互斥的指示信息。
本申请实施例第四方面公开了一种意图预评估方法，包括：
第二网元向第一网元发送网络关键性能指标KPI的影响的预评估信息；
第二网元接收来自第一网元的预评估信息对应的评估值；预评估信息对应的评估值是根据第一信息确定的，第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，操作影响信息用于指示第二操作的互斥信息，第二KPI的影响信息用于指示第二操作对网络KPI的影响，第二操作为影响网络KPI的操作。
在上述方法中，通过第二网元向第一网元发送网络KPI的影响的预评估信息，相应的，第一网元根据第一信息确定预评估信息的评估值，并向第二网元发送评估值，能够实现在不修改网络状态的情况下反馈评估值，有利于第二网元以此为参考，并有利于提升意图执行效率。
在一种可能的实现方式中，第二网元向第一网元发送以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长；预评估约束条件用于指示执行根据第一信息确定预评估信息对应的评估值的过程所受到的约束，预评估终止条件用于确定根据第一信息确定预评估信息对应的评估值过程继续执行或终止；预评估最大时长用于确定根据第一信息确定预评估信息对应的评估值的过程继续执行或终止。
在又一种可能的实现方式中，方法还包括：第二网元接收来自第一网元的评估值的置信度，评估值的置信度是根据第一信息确定的。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第二操作的生效的时间、以及除网络KPI之外的其他网络KPI对应的意图的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作标识信息，或指示是否互斥的指示信息。
本申请实施例第五方面公开了一种意图预评估装置，包括：通信单元和处理单元，
通信单元，用于接收来自第二网元的意图目标和预评估类型，预评估类型包括意图达成 结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，意图目标包括第一操作；
通信单元，用于接收来自第三网元的第一信息，第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，操作影响信息用于指示第一操作的互斥信息，第一KPI的影响信息用于指示第一操作对意图目标关联的KPI的影响或者对网络KPI的影响；
处理单元，用于根据第一信息确定预评估类型对应的结果信息，结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；
通信单元，用于向第二网元发送结果信息。
在一种可能的实现方式中，意图目标包括意图目标的标识和/或意图目标的目标值。
在又一种可能的实现方式中，通信单元，还用于接收来自第二网元的以下一项或多项：预评估终止条件、预评估最大时长，预评估终止条件用于确定装置根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止；预评估最大时长用于确定装置根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止。
在又一种可能的实现方式中，若结果信息包括意图达成结果的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、意图目标达成需要的时长、意图目标未达成的原因。
在又一种可能的实现方式中，若结果信息包括KPI的影响的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、KPI的影响的预评估信息对应的KPI列表、KPI的影响的预评估信息的置信度。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第一操作的生效的时间信息、以及除意图目标之外的其他意图目标的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。
关于第五方面或可能的实现方式所带来的技术效果，可参考对于第一方面或相应的实施方式的技术效果的介绍。
本申请实施例第六方面公开了一种意图预评估装置，包括：
通信单元，用于接收来自第二网元的网络关键性能指标KPI的影响的预评估信息；
通信单元，用于接收来自第三网元的第一信息，第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，操作影响信息用于指示第二操作的互斥信息，第二KPI的影响信息用于指示第二操作对网络KPI的影响，第二操作为影响网络KPI的操作；
处理单元，用于根据第一信息确定预评估信息对应的评估值；
通信单元，用于向第二网元发送评估值。
在一种可能的实现方式中，通信单元，还用于接收来自第二网元的以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长；预评估约束条件用于指示执行根据第一 信息确定预评估信息对应的评估值的过程所受到的约束，预评估终止条件用于确定根据第一信息确定预评估信息对应的评估值过程继续执行或终止；预评估最大时长用于确定根据第一信息确定预评估信息对应的评估值的过程继续执行或终止。
在又一种可能的实现方式中，通信单元，用于根据第一信息确定预评估信息对应的评估值、以及评估值的置信度。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第二操作的生效的时间、以及除网络KPI之外的其他网络KPI对应的意图的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作标识信息，或指示是否互斥的指示信息。
关于第六方面或可能的实现方式所带来的技术效果，可参考对于第三方面或相应的实施方式的技术效果的介绍。
本申请实施例第七方面公开了一种意图预评估装置，装置包括至少一个处理器和通信接口，至少一个处理器用于调用至少一个存储器中存储的计算机程序，执行以下操作：
通过通信接口接收来自第二网元的意图目标和预评估类型，预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，意图目标包括第一操作；
通过通信接口接收来自第三网元的第一信息，第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，操作影响信息用于指示第一操作的互斥信息，第一KPI的影响信息用于指示第一操作对意图目标关联的KPI的影响或者对网络KPI的影响；
根据第一信息确定预评估类型对应的结果信息，结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；
通过通信接口向第二网元发送结果信息。
在一种可能的实现方式中，意图目标包括意图目标的标识和/或意图目标的目标值。
在又一种可能的实现方式中，至少一个处理器，还用于通过通信接口接收来自第二网元的以下一项或多项：预评估终止条件、预评估最大时长，预评估终止条件用于确定装置根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止；预评估最大时长用于确定装置根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止。
在又一种可能的实现方式中，若结果信息包括意图达成结果的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、意图目标达成需要的时长、意图目标未达成的原因。
在又一种可能的实现方式中，若结果信息包括KPI的影响的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、KPI的影响的预评估信息对应的KPI列表、KPI的影响的预评估信息的置信度。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第 一操作的生效的时间信息、以及除意图目标之外的其他意图目标的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。
关于第七方面或可能的实现方式所带来的技术效果，可参考对于第一方面或相应的实施方式的技术效果的介绍。
本申请实施例第八方面公开了一种意图预评估装置，装置包括至少一个处理器和通信接口，至少一个处理器用于调用至少一个存储器中存储的计算机程序，执行以下操作。
通过通信接口接收来自第二网元的网络关键性能指标KPI的影响的预评估信息；
通过通信接口接收来自第三网元的第一信息，第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，操作影响信息用于指示第二操作的互斥信息，第二KPI的影响信息用于指示第二操作对网络KPI的影响，第二操作为影响网络KPI的操作；
根据第一信息确定预评估信息对应的评估值；
通过通信接口向第二网元发送评估值。
在一种可能的实现方式中，至少一个处理器，还用于通过通信接口接收来自第二网元的以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长；预评估约束条件用于指示执行根据第一信息确定预评估信息对应的评估值的过程所受到的约束，预评估终止条件用于确定根据第一信息确定预评估信息对应的评估值过程继续执行或终止；预评估最大时长用于确定根据第一信息确定预评估信息对应的评估值的过程继续执行或终止。
在又一种可能的实现方式中，至少一个处理器，还用于根据第一信息确定评估值的置信度。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第二操作的生效的时间、以及除网络KPI之外的其他网络KPI对应的意图的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作标识信息，或指示是否互斥的指示信息。
关于第八方面或可能的实现方式所带来的技术效果，可参考对于第三方面或相应的实施方式的技术效果的介绍。
本申请实施例第九方面公开了一种芯片系统，芯片系统包括至少一个处理器和通信接口，至少一个处理器用于调用至少一个存储器中存储的计算机程序，以实现上述任一方面或任一方面的可能的实现方式所述的方法。
本申请实施例第十方面公开了一种计算机可读存储介质，该计算机可读存储介质中存储有程序指令，当该程序指令在处理器上运行时，以实现上述任一方面或任一方面的可能的实现方式所述的方法。
本申请实施例第十一方面公开了一种计算机程序产品，当该计算机程序产品在处理器上运行时，以实现上述任一方面或任一方面的可能的实现方式所述的方法。
附图说明
以下对本申请实施例用到的附图进行介绍。
图1是本申请实施例提供的一种通信系统的结构示意图；
图2是本申请实施例提供的一种现有的wIDN系统架构示意图；
图3是本申请实施例提供的一种改进的wIDN系统架构示意图；
图4是本申请实施例提供的一种现有的ENI系统的架构示意图；
图5是本申请实施例提供的一种现有的IDMS系统架构示意图；
图6是本申请实施例提供的一种意图实施流程图；
图7是本申请实施例提供的一种意图预评估方法的流程示意图；
图8是本申请实施例提供的一种意图预评估方法的流程示意图；
图9是本申请实施例提供的一种意图预评估方法的流程示意图；
图10是本申请实施例提供的一种意图预评估方法的流程示意图；
图11是本申请实施例提供的一种意图预评估方法的流程示意图；
图12是本申请实施例提供的一种意图预评估装置示意图；
图13是本申请实施例提供的一种意图预评估装置示意图。
具体实施方式
下面结合本申请实施例中的附图对本申请实施例进行描述。
首先对本申请实施例涉及到的技术术语进行解释:
意图：是指对作用系统的期望。意图可以包括以下一项或多项：要求、意图目标和约束。
意图实例：对意图进行实例化之后的对象。例如，在本申请中，意图可以替换为意图实例。
意图目标：用于指示意图需要达成的目标值。
意图转译：将意图转化成意图可执行命令或者规则或者子意图的流程。
意图执行：将意图可执行命令、子意图、规则进行下发，并且依据网络环境及意图达成情况对意图可执行命令、子意图、规则进行调整。
意图可执行命令：意图经过转译决策等操作形成的一系列指令。
意图模式：规定意图表达式的语法及语义。意图模式可以包括如下一项或多项：字段，字段的取值范围，字段的类型，字段之间的层次关系。例如，字段可以用于对意图模式的种类、名称或消费者进行描述。
意图创建：在意图系统中新建一个意图，并创建相应意图上下文。
意图知识：意图知识为存储于意图知识库中的意图模式的相关参数。例如，上述相关参数可以包括以下一项或多项：意图对应的可执行的操作、意图作用实体标识或意图作用实体类型。
意图操作：意图目标对应的可执行的操作。
意图冲突：当两个意图由于意图表达式、执行操作或语义上的互斥导致无法同时达成时，称这两个意图存在冲突。可选的，意图冲突可以指需要进行意图创建的意图与系统中处于激活状态的意图的冲突。
请参见图1，图1是本申请实施例提供的一种通信系统100的结构示意图，该通信系统100包括第一网元101、第二网元102和第三网元103。其中，第二网元102可以为业务支撑系统(Business support systems，BSS)、运营支撑系统(operation support systems，OSS)、应用(APP)或者是第三方用户(User)中的网元；第一网元101和第三网元103可以分别为以下一种或多种系统中的网元：无线意图驱动网络(wireless intent driven network，wIDN)系统、欧洲电信标准化协会(european telecommunications standards institute，ETSI)提出的体验式网络智能(experiential networked intelligence，ENI)系统、以及第三代合作伙伴计划(the 3rd generation partnership project，3GPP)提出的意图驱动网络管理服务(intent driven network manage service，IDMS)系统。
一、wIDN系统：可以将意图指令转译成无线网络对应的操作命令集，此外还支持子意图分解以及意图的执行和维持等功能。现有的wIDN系统架构，如图2所示，包括意图管理(Intent Management，IM)模块、意图转译(Intent Translation，IT)模块、知识管理(Knowledge Management，KM)模块、意图决策和执行(Intent Decision and Execution，IDE)模块。其中，各模块功能如下：
(1)意图管理(Intent Management)模块：进行意图模式管理，意图实例管理；
(2)意图转译(Intent Translation)模块：进行意图转译，将意图转译成网络能够理解的意图达成与否的判定准则，以及达成意图需要执行的操作；
(3)知识管理(Knowledge Management)模块：进行意图知识管理，提供意图知识查询功能；
(4)意图决策和执行(Intent Decision and Execution)模块：进行意图执行。
其中，意图管理模块实体可以包括两个子功能，分别为意图实例库(Intent Instance Base)和意图模式库(Intent Schema Base)。其中，意图实例库用于存储意图实例，意图模式库用于存储意图模式。知识管理模块实体可以包括意图知识库(Intent Knowledge Base)，意图知识库用于存储意图知识。
本申请实施例中提出的wIDN系统中还包括意图预评估和仿真(Intent Evaluation and Simulation，IES)模块，如图3所示。其中，意图预评估和仿真模块用于意图的预评估。例如，意图预评估和仿真模块可以作为独立的网元或者功能模块实现；也可以包括在意图转译模块中实现，也就是说对意图转译模块进行增强，增强后的意图转译模块可以实现意图预评估和仿真模块所实现的功能。当意图预评估和仿真模块作为独立的网元或者功能模块实现时，图1所示的通信系统中的第一网元101可以为意图预评估和仿真模块实体；图1所示的通信系统中的第三网元103可以为知识管理模块实体。当意图预评估和仿真模块通过意图转译模 块实现时，图1所示的通信系统中的第一网元101可以为意图转译模块实体。上述模块的划分不是固定的，仅仅作为示例，本申请实施例不做限定。
二、ENI系统：ENI系统的架构如图4所示，包括以下一种或多种功能模块：输入功能模块(Data Ingestion Function Block)、归一化功能模块(Normalization Function Block)、知识管理功能模块(Knowledge Management Function Block)、意图转译功能模块(Intent Translation Function Block)、运营支撑系统以及业务支撑系统模块(OSS-and BSS-like Functionality)、第三方用户(User)。其中各模块的功能实现如下：
(1)输入功能模块：负责接收外部系统的数据。
(2)归一化功能模块：负责对数据进行归一化等操作。
(3)知识管理功能模块：负责对现有的网络状态进行分析并且存储意图知识以及意图上下文知识。
(4)意图转译功能模块：用来将收到的意图策略翻译为ENI内部系统可以识别的命令，可放在策略管理功能模块(Policy Management Function Block)中。
(5)运营支撑系统以及业务支撑系统模块：负责向ENI系统输入意图。
(6)第三方用户User：负责向ENI系统输入意图。
本申请实施例中提出的ENI系统中还包括意图预评估和仿真(Intent Evaluation and Simulation)模块。其中，意图预评估和仿真模块用于意图的预评估。例如，意图预评估和仿真模块可以作为独立的网元或者功能模块实现；也可以包括在意图转译模块中实现，也就是说对意图转译模块进行增强，增强后的意图转译模块可以实现意图预评估和仿真模块所实现的功能。当意图预评估和仿真模块作为独立的网元或者功能模块实现时，图1所示的通信系统中的第一网元101可以为意图预评估和仿真模块实体；图1所示的通信系统中的第三网元103可以为知识管理功能模块实体。当意图预评估和仿真模块通过意图转译功能模块实现时，图1所示的通信系统中的第一网元101可以为意图转译功能模块实体；上述模块的划分不是固定的，仅仅作为示例，本申请实施例不做限定。
三、3GPP提出的IDMS系统：IDMS系统架构如图5所示，包括管理服务(management service，MnS)消费者(consumer)和MnS提供者(producer)。MnS consumer在本申请实施例中可以是指意图消费者，MnS producer在本申请实施例中可以是指意图服务提供者。其中，MnS consumer用于发出意图服务请求，如意图创建，意图修改等。MnS producer用于意图模式管理，意图实例管理；意图转译，将意图转译成网络能够理解的意图达成与否的判定准则，以及达成意图需要执行的操作；意图知识管理，提供意图知识查询功能；以及意图执行。而本申请实施例可以对IDMS系统的意图服务提供者的功能进行改进，增加意图预评估功能，用于实现本申请实施例所述的方法。
现有意图系统如图2所示，意图转译决策需要不断尝试操作。用户下发意图后，通过意图转译和意图决策，选取出操作，进行意图实施后，若意图实施后得到的结果不满足意图目标，则重新转译决策，若使用了所有操作仍无法满足意图目标，则反馈给用户意图无法达成。具体步骤如图6所示。其中图6所述的辅助系统也可以称为意图作用系统，即意图生成的操作作用的网元。
(1)步骤1：用户进行意图下发。
(2)步骤2：意图系统中的意图转译模块进行意图转译，并决策出意图操作。
(3)步骤3：按照意图操作进行意图实施。意图在系统中实施后，意图系统检查意图实施后得到的结果，若意图实施后得到的结果不满足意图目标，则重新进行步骤2的意图转译，得到意图操作，并重新进行意图实施和对意图实施后得到的结果进行检查。
(4)步骤4：若步骤3使用所有操作后仍无法满足意图目标，反馈用户意图无法达成。
其中，步骤2和步骤3需要通过反复尝试多种意图操作，每一次尝试都会修改网络状态，例如，网络的资源状态或网络的性能状态，意图执行效率低。因此，如何提升意图执行效率是本领域人员正在解决的技术问题，为了解决上述问题，本申请实施例提出以下解决方案。
请参见图7，图7是本申请实施例提供的一种意图预评估方法，该方法可以实施在意图创建过程中也可以实施在意图创建后，该方法包括但不限于如下步骤：
步骤S701：第二网元向第一网元发送意图目标和预评估类型。
步骤S702：第一网元接收来自第二网元的意图目标和预评估类型。
例如，意图目标包括意图目标的标识(targetName)和/或意图目标的目标值(targetValue)。例如，意图目标为吞吐率提升10％，意图目标的标识可以为吞吐率，意图目标的目标值可以为10％。
例如，预评估类型包括意图达成结果的预评估信息、或者网络关键性能指标(key performance indicator，KPI)的影响的预评估信息。其中，网络KPI的影响可以是指预估意图目标实施后对网络KPI的影响。其中，网络KPI的影响的预评估信息可以为网络KPI列表。
例如，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块(physical resource block，PRB)利用率、抖动、无线资源控制(radio resource control，RRC)建立成功率、服务质量(quality of service，QoS)流(Flow)建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器(central processing unit，CPU)利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区(primary secondary cell，PSCell)更换成功率、协议数据单元(protocol data unit，PDU)总包数、PDU总数据量、覆盖曲线、参考信号接收功率(reference signal receiving power，RSRP)平均值、信号干扰噪声比(signal to interference plus noise ratio，SINR)平均值、基站能效值、基站能效等级。
可选的，第一网元还接收来自第二网元的指示信息，该指示信息用于指示对意图目标进行预评估。当该指示信息指示不对该意图目标进行预评估，则不执行后续步骤。
例如，第一网元还接收来自第二网元的以下一项或多项：预评估终止条件、预评估最大时长。预评估终止条件用于确定第一网元根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止；预评估最大时长用于确定第一网元根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止。例如，第一网元还接收来自第二网元的预评估终止条件为预评估过程占用系统资源70％以上即停止预评估。例如，第一网元还接收来自第二网元的预评估最大时长为预评估过程所耗费的时间超过10分钟以上即停止预评估。上述预评估过程可以理解为第一网元根据第一信息确定预评估类型对应的结果信息的过程。
例如，意图目标包括第一操作。第一操作可以是指与意图目标关联的所有操作。其中，该第一操作可以是由第一网元从其他网元获取得到的，也可以是第一网元根据意图目标确定的。第一操作可以为一个操作集合列表，该操作集合列表中包括一个或多个操作。例如，第一操作为操作集合1，其中操作集合1包括操作1、操作2和操作3。
步骤S703：第三网元向第一网元发送第一信息。
步骤S704：第一网元接收来自第三网元的第一信息。
例如，第三网元可以是指一个或多个网元。第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息。操作影响信息用于指示第一操作的互斥信息，第一KPI的影响信息用于指示第一操作对意图目标关联的KPI的影响或者对网络KPI的影响。
例如，第一操作的互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。也就是说，假设第一操作包括多个操作，互斥的操作的标识信息可以是指多个操作中互斥的操作的标识信息。例如，第一操作包括操作1、操作2和操作3，其标识信息为标识1、标识2和标识3，假设操作1和操作3互斥，互斥的操作的标识信息为标识1和标识3。
例如，第一操作对意图目标关联的KPI的影响可以是指，第一操作对网络KPI中的与意图目标关联的KPI的影响。其中，第一操作对意图目标关联的KPI的影响可以是积极的影响或消极的影响。例如，假设意图目标关联的KPI为速率，第一操作包括操作1和操作2，操作1可以使速率提升3％，操作2可以使速率提升5％。例如，假设意图目标关联的KPI为速率，第一操作包括操作1和操作2，操作1可以使速率提升3％，操作2可以使速率降低5％。第一操作对网络KPI的影响也可以是有益的影响或消极的影响。例如，假设网络KPI包括速率、时延，第一操作包括操作1和操作2，操作1可以使速率提升1％、时延降低1％，操作2可以使速率提升5％、时延降低1％；例如，假设网络KPI包括速率、时延，第一操作包括操作1和操作2，操作1可以使速率提升1％、时延降低1％，操作2可以使速率降低5％、时延升高5％。
例如，第一信息还包括以下一项或多项：网络性能数据信息、第一操作的生效的时间信息、以及除该意图目标之外的其他意图目标的信息。网络性能数据信息是指表征网络性能的信息，例如，时延、吞吐率、速率、PRB利用率、抖动、RRC建立成功率、QoS流(Flow)建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、PSCell更换成功率、PDU总包数、PDU总数据量、覆盖曲线、RSRP平均值、SINR平均值、基站能效值、基站能效等级等等。当第三网元可以是指多个网元，例如第三网元是指3个网元，分别为网元1，网元2和网元3，其中，操作影响信息、第一KPI的影响信息、第一操作的生效的时间信息可以来自于网元1，网络性能数据信息可以来自于网元2，除该意图目标之外的其他意图目标的信息可以来自于网元3。
其中，网络性能数据信息可以是第三网元根据第一操作确定的，或者根据意图目标的上下文信息确定的。其中，意图目标的上下文信息可以是第一网元根据意图目标的标识确定的，然后第一网元将意图目标的上下文信息发送给第三网元。其中，第一网元接收到该网络性能数据信息之后可以根据该网络性能数据信息监测该预评估过程，例如，假设第一网元还接收来自第二网元的预评估终止条件为预评估过程占用系统资源70％以上即停止预评估，网络性能数据信息为预评估过程占系统资源为80，则第一网元停止预评估。第一操作的生效的时间信息可以是指第一操作的生效的时长，也可以是指第一操作的生效的开始时间和结束时间。除该意图目标之外的其他意图目标的信息可以用于该意图目标与其他意图目标之间的意图冲突的检查。
步骤S705：第一网元根据第一信息确定预评估类型对应的结果信息。
例如，该结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息。其中，意图达成的结果的预评估信息可以是指意图能否达成。当预评估类型为意图达成结果的预评估信息，第一网元可以根据操作影响信息确定结果信息，该结果信息包括意图达成结果的预 评估信息。例如，假设预评估类型为意图达成结果的预评估信息，第一操作包括操作1和操作2，操作影响信息为指示信息，该指示信息用于指示操作1和操作2互斥，则第一网元根据操作影响信息确定结果信息为意图无法达成。
当预评估类型为网络KPI的影响的预评估信息，第一网元可以根据第一KPI的影响信息确定结果信息，该结果信息包括KPI的影响的预评估信息。例如，假设预评估类型为网络KPI的影响的预评估信息，第一KPI的影响信息指示第一操作对意图目标关联的KPI的影响，第一操作包括操作1和操作2，意图目标为速率提升10％，第一KPI的影响信息可以是指操作1能使速率提升3％、操作2能使速率提升5％，则第一网元根据第一KPI的影响信息确定结果信息，该结果信息包括KPI的影响的预评估信息，即操作1能使速率提升3％、操作2能使速率提升5％。例如，假设预评估类型为网络KPI的影响的预评估信息，第一KPI的影响信息指示第一操作对网络KPI的影响，第一操作包括操作1，网络KPI包括速率和吞吐率，第一KPI的影响信息可以是指操作1能使速率提升3％、能使吞吐率提升2％，则第一网元根据第一KPI的影响信息确定结果信息，该结果信息包括KPI的影响的预评估信息，即操作1能使速率提升3％、能使吞吐率提升2％。
例如，若结果信息包括意图达成结果的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、意图目标达成需要的时长、意图目标未达成的原因。结果信息的置信度还可以是指该结果信息的可信程度，即认为该结果信息是准确的概率。例如置信度为90％，表示有90％的把握认为该结果信息是准确的。
例如，若结果信息包括KPI的影响的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、KPI的影响的预评估信息对应的KPI列表、KPI的影响的预评估信息的置信度。
步骤S706：第一网元向第二网元发送结果信息。
步骤S707：第二网元接收来自第一网元的结果信息。
在图7所述的方法中，通过第二网元向第一网元发送意图目标和预评估类型，相应的，第一网元根据第一信息确定预评估类型对应的结果信息，并向第二网元发送结果信息，该结果信息包括意图达成结果的预评估信息和KPI的影响的预评估信息，能够实现在不修改网络状态的情况下获知意图能否完成或获知意图实施后对网络的影响，有利于第二网元以此为参考，并提升意图执行效率。
请参见图8，图8是本申请实施例提供的一种意图预评估方法，该方法包括但不限于如下步骤：
步骤S801：第二网元向第一网元发送网络KPI的影响的预评估信息。
步骤S802：第一网元接收来自第二网元的网络KPI的影响的预评估信息。
其中，该网络KPI的影响的预评估信息可以是指目标名称(targetName)，例如，时延、速率、吞吐率，而不包括目标名称对应的目标值(targetValue)。例如，网络KPI的影响的预评估信息可以为吞吐率，其targetName为“Object”。例如，网络KPI的影响的预评估信息可以为时延，其targetName为“Latency”。
例如，网络KPI包括以下一项或多项：时延、吞吐率、速率、PRB利用率、抖动、RRC建立成功率、QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、PSCell更换成功率、PDU总包数、PDU 总数据量、覆盖曲线、RSRP平均值、SINR平均值、基站能效值、基站能效等级。
例如，第一网元还接收来自第二网元的以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长；预评估约束条件用于指示执行根据第一信息确定预评估信息对应的评估值的过程所受到的约束，预评估终止条件用于确定根据第一信息确定预评估信息对应的评估值过程继续执行或终止；预评估最大时长用于确定根据第一信息确定预评估信息对应的评估值的过程继续执行或终止。例如，假设第二网元发送的网络KPI的影响的预评估信息可以为吞吐率，其targetName为“Object”，第二网元希望返回吞吐率作用区域如“金桥”，其中，预评估约束条件可以为“Object为{张江、金桥、陆家嘴}中哪里吞吐率提升10％且改动最少的主设备可使浦东吞吐率提升5％”，相应的，第一网元执行根据第一信息确定预评估信息对应的评估值过程受到预评估约束条件的限制，该评估值为“张江、金桥、陆家嘴”中的一个。例如，第一网元还接收来自第二网元的预评估终止条件为预评估过程占用系统资源70％以上即停止预评估。例如，第一网元还接收来自第二网元的预评估最大时长为预评估过程所耗费的时间超过10分钟以上即停止预评估。上述预评估过程可以理解为第一网元根据第一信息确定预评估信息对应的评估值的过程。
步骤S803：第三网元向第一网元发送第一信息。
步骤S804：第一网元接收来自第三网元的第一信息。
例如，第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，操作影响信息用于指示第二操作的互斥信息，第二KPI的影响信息用于指示第二操作对网络KPI的影响，第二操作为影响网络KPI的操作。第二操作为影响网络KPI的操作中的网络KPI可以是与网络KPI的影响的预评估信息对应的网络KPI，例如，假设网络KPI的影响的预评估信息为吞吐率，则第二操作为影响吞吐率的操作。
例如，第二操作的互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。也就是说，假设第二操作包括多个操作，互斥的操作的标识信息可以是指多个操作中互斥的操作的标识信息。例如，第二操作包括操作1、操作2和操作3，其标识信息为标识1、标识2和标识3，假设操作1和操作3互斥，互斥的操作的标识信息为标识1和标识3。
例如，第二操作对网络KPI的影响也可以是有益的影响或消极的影响。例如，假设网络KPI包括吞吐率，影响吞吐率的第二操作包括操作1和操作2，操作1可以使吞吐率提升1％，操作2可以使吞吐率提升3％；例如，假设网络KPI包括吞吐率，影响吞吐率的第二操作包括操作1和操作2，操作1可以使吞吐率降低1％，操作2可以使吞吐率降低5％。
例如，第一信息还包括一项或多项：网络性能数据信息、第二操作的生效的时间、以及除网络KPI之外的其他网络KPI对应的意图的信息。当第三网元可以是指多个网元，例如第三网元是指3个网元，分别为网元1，网元2和网元3，其中，操作影响信息、第二KPI的影响信息、第二操作的生效的时间信息可以来自于网元1，网络性能数据信息可以来自于网元2，除网络KPI之外的其他网络KPI对应的意图的信息可以来自于网元3。
步骤S805：第一网元根据第一信息确定预评估信息对应的评估值。
例如，第一网元根据第一信息确定预评估信息对应的评估值之外，还可以确定该评估值的置信度。其中，该评估值的置信度还可以理解为评估值的可信度。
例如，第一网元根据操作影响信息和第二KPI的影响信息确定预评估信息。例如，假设网络KPI包括吞吐率，影响吞吐率的第二操作包括操作1和操作2，操作影响信息为操作1和操作2互斥，第二KPI的影响信息可以是指操作1可以使吞吐率提升1％，操作2可以使吞吐率提升3％，由于操作2使吞吐率提升的3％大于操作1使吞吐率提升的1％，则第一网 元确定预评估信息对应的评估值为3％。
例如，第一网元根据第二KPI的影响信息确定预评估信息对应的评估值。例如，假设网络KPI包括吞吐率，影响吞吐率的第二操作包括操作1和操作2，第二KPI的影响信息可以是指操作1可以使吞吐率提升1％，操作2可以使吞吐率提升3％；由于操作2使吞吐率提升的3％大于操作1使吞吐率提升的1％，则第一网元确定预评估信息对应的评估值为3％。
步骤S806：第一网元向第二网元发送评估值。
例如，第一网元向第二网元发送评估值之外，还可以发送评估值对应的置信度、网络KPI影响的预评估信息。例如，<object,3％，80％>，其中，object是指网络KPI影响的预评估信息的targetName；3％是指预评估信息对应的评估值，80％是指评估值对应的置信度。
步骤S807：第二网元接收来自第一网元的评估值。
在图8所描述的方法中，通过第二网元向第一网元发送网络KPI的影响的预评估信息，相应的，第一网元根据第一信息确定预评估信息的评估值，并向第二网元发送评估值，能够实现在不修改网络状态的情况下反馈评估值，有利于第二网元以此为参考，并提升意图执行效率。
图9所述实施例所适用的系统架构可以包括：wIDN系统中的意图预评估和仿真模块实体、知识管理模块实体、意图管理模块实体、意图转译模块实体、以及辅助系统、BSS/OSS/APP/User，其与第一网元、第二网元、第三网元之间的对应关系为：第一网元为如图3所示的wIDN系统中的意图预评估和仿真模块实体，第三网元为如图3所示的wIDN系统中的知识管理模块实体、意图管理模块实体、意图转译模块实体、以及辅助系统，第二网元为BSS/OSS/APP/User中的网元。
请参见图9，图9是本申请实施例提供的一种意图预评估方法，该方法包括但不限于如下步骤：
步骤S901：BSS/OSS/APP/User通过意图管理模块实体向意图预评估和仿真模块实体发送意图目标和预评估类型。
例如，BSS/OSS/APP/User还可以通过意图管理模块实体向意图预评估和仿真模块实体发送以下一项或多项：预评估终止条件、预评估最大时长。
步骤S902：意图预评估和仿真模块实体通过意图管理模块实体接收来自BSS/OSS/APP/User的意图目标和预评估类型。
例如，意图预评估和仿真模块实体通过意图管理模块实体接收来自BSS/OSS/APP/User的以下一项或多项：预评估终止条件、预评估最大时长。
例如，意图目标包括意图目标的标识(targetName)和/或意图目标的目标值(targetValue)。预评估类型包括意图达成结果的预评估信息、或者网络关键性能指标(key performance indicator，KPI)的影响的预评估信息。其中，意图目标和预评估类型可以承载于意图创建消息中。具体可以参考步骤S702，此处不再赘述。
步骤S903：意图管理模块实体向意图转译模块实体发送指示信息。
例如，该指示信息用于指示意图转译模块实体向意图预评估和仿真模块实体发送第一操作。例如，意图管理模块实体向意图转译模块实体发送指示信息之外，还发送意图目标。当然，指示信息和意图目标可以携带在一条消息中。
步骤S904：意图转译模块实体接收来自意图管理模块实体的指示信息。
步骤S905：意图转译模块实体向意图预评估和仿真模块实体发送第一操作。
例如，第一操作是意图转译模块实体根据意图目标确定的。
步骤S906：意图预评估和仿真模块实体接收来自意图转译模块实体的第一操作。
步骤S907：意图预评估和仿真模块实体向辅助系统发送性能数据请求消息。
其中，该步骤为可选的步骤，该性能数据请求消息包括第一操作。其中，该性能数据请求消息也可以为测量任务请求消息。
步骤S908：辅助系统接收来自意图预评估和仿真模块实体的性能数据请求消息。
其中，该步骤为可选的步骤。
步骤S909：辅助系统向意图预评估和仿真模块实体发送性能数据响应消息。
其中，该步骤为可选的步骤，例如，该性能数据响应消息包括网络性能数据信息，该网络性能数据信息是根据第一操作确定的。该网络性能数据信息为图7实施例中的第一信息中的网络性能数据信息，具体可以参考步骤S704，此处不再赘述。其中，该性能数据响应消息可以为测量任务响应消息。
步骤S910：意图预评估和仿真模块实体接收来自辅助系统的性能数据响应消息。
其中，该步骤为可选的步骤。通过意图预评估和仿真模块实体向辅助系统发送性能数据请求消息，相应的，辅助系统根据性能数据请求消息向意图预评估和仿真模块实体发送性能数据响应消息的方式，能够辅助判断预评估终止条件以及预评估最大时长，能够使网络KPI的数值更加准确。
步骤S911：意图预评估和仿真模块实体向知识管理模块实体发送操作信息请求消息。
步骤S912：知识管理模块实体接收来自意图预评估和仿真模块实体的操作信息请求消息。
例如，操作信息请求消息包括第一操作的标识。
步骤S913：知识管理模块实体向意图预评估和仿真模块实体发送操作信息响应消息。
步骤S914：意图预评估和仿真模块实体接收来自知识管理模块实体的操作信息响应消息。
例如，操作信息响应消息包括操作影响信息或第一KPI的影响信息。操作影响信息用于指示第一操作的互斥信息，第一KPI的影响信息用于指示第一操作对意图目标关联的KPI的影响或者对网络KPI的影响。例如，操作信息响应信息还可以包括第一操作的生效的时间信息。操作影响信息、第一KPI的影响信息、第一操作的生效的时间信息为图7实施例中的第一信息中的操作影响信息、第一KPI的影响信息、第一操作的生效的时间信息，具体可以参考步骤S704，此处不再赘述。
步骤S915：意图预评估和仿真模块实体向意图管理模块实体发送其他意图请求消息。
其中，该步骤为可选的步骤。
步骤S916：意图管理模块实体接收来自意图预评估和仿真模块实体的其他意图请求消息。
其中，该步骤为可选的步骤。
步骤S917：意图管理模块实体向意图预评估和仿真模块实体发送其他意图响应消息。
其中，该步骤为可选的步骤。
步骤S918：意图预评估和仿真模块实体接收来自意图管理模块实体的其他意图响应消息。
其中，该步骤为可选的步骤。例如，其他意图响应消息包括除该意图目标之外的其他意图目标的信息。除该意图目标之外的其他意图目标的信息为图7实施例中的第一信息中的除该意图目标之外的其他意图目标的信息，具体可以参考步骤S704，此处不再赘述。
通过意图预评估和仿真模块实体向意图管理模块实体发送其他意图请求消息，相应的意图管理模块实体根据其他意图请求消息向意图预评估和仿真模块实体发送其他意图响应消息的方式，能够辅助意图系统进行意图冲突的检测，提高系统性能。
步骤S919：意图预评估和仿真模块实体根据第一信息确定预评估类型对应的结果信息。
例如，第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息。第一信息还包括以下一项或多项：网络性能数据信息、第一操作的生效的时间信息、以及除该意图目标之外的其他意图目标的信息。具体可以参考步骤S705，此处不再赘述。
步骤S920：意图预评估和仿真模块通过意图管理模块实体向BSS/OSS/APP/User发送结果信息。
步骤S921：BSS/OSS/APP/User通过意图管理模块实体接收来自意图预评估和仿真模块实体的结果信息。
当然，图9所示意图转译模块实体和意图预评估模块实体可以整合成一个模块实体，例如，意图转译预评估模块实体，该意图转译预评估模块实体可以同时实现意图转译模块实体和意图预评估模块实体所实现的功能，此处不再赘述。
图10所述实施例所适用的系统架构可以包括：wIDN系统中的意图转译预评估模块实体、知识管理模块实体、意图管理模块实体、以及辅助系统、BSS/OSS/APP/User，其与第一网元、第二网元、第三网元的对应关系为：第一网元为wIDN系统中的意图转译预评估模块实体，其中意图转译预评估模块实体为意图预评估和仿真模块和意图转译模块的功能整合在一起的模块实体，第三网元为如图3所示的wIDN系统中的知识管理模块实体、意图管理模块实体、以及辅助系统，第二网元为BSS/OSS/APP/User中的网元。
步骤S1001：BSS/OSS/APP/User创建意图。
步骤S1002：BSS/OSS/APP/User通过意图管理模块实体向意图转译预评估模块实体发送意图目标和预评估类型。
例如，BSS/OSS/APP/User还可以通过意图管理模块实体向意图转译预评估模块实体发送以下一项或多项：预评估终止条件、预评估最大时长。
步骤S1003：意图转译预评估模块实体通过意图管理模块实体接收来自BSS/OSS/APP/User的意图目标和预评估类型。
例如，意图转译预评估模块实体还可以通过意图管理模块实体接收来自BSS/OSS/APP/User的以下一项或多项：预评估终止条件、预评估最大时长。
步骤S1004：意图转译预评估模块实体向辅助系统发送性能数据请求消息。
其中，该步骤为可选的步骤。该性能数据请求消息包括意图的上下文信息。意图的上下文信息是意图转译预评估模块实体根据意图目标确定的。意图的上下文信息包括第一操作。其中，该性能数据请求消息可以为测量任务请求消息。
步骤S1005：辅助系统接收来自意图转译预评估模块实体的性能数据请求消息。
其中，该步骤为可选的步骤。
步骤S1006：辅助系统向意图转译预评估模块实体发送性能数据响应消息。
其中，该步骤为可选的步骤。例如，该性能数据响应消息包括网络性能数据信息，该网络性能数据信息是根据第一操作确定的。该网络性能数据信息为图7实施例中的第一信息中的网络性能数据信息，具体可以参考步骤S704，此处不再赘述。其中，该性能数据响应消息可以为测量任务响应消息。
步骤S1007：意图转译预评估模块实体接收来自辅助系统的性能数据响应消息。
其中，该步骤为可选的步骤。通过意图转译预评估模块实体向辅助系统发送性能数据请求消息，相应的，辅助系统根据性能数据请求消息向意图转译预评估模块实体发送性能数据 响应消息的方式，能够辅助判断预评估终止条件以及预评估最大时长，能够使网络KPI的数值更加准确。
步骤S1008：意图转译预评估模块实体向知识管理模块实体发送操作信息请求消息。
步骤S1009：知识管理模块实体接收来自意图转译预评估模块实体的操作信息请求消息。
例如，操作信息请求信息包括第一操作的标识。
步骤S1010：知识管理模块实体向意图转译预评估模块实体发送操作信息响应消息。
步骤S1011：意图转译预评估模块实体接收来自知识管理模块实体的操作信息响应消息。
例如，操作信息响应消息包括操作影响信息或第一KPI的影响信息。操作影响信息用于指示第一操作的互斥信息，第一KPI的影响信息用于指示第一操作对意图目标关联的KPI的影响或者对网络KPI的影响。例如，操作信息响应消息还可以包括第一操作的生效的时间信息。操作影响信息、第一KPI的影响信息、第一操作的生效的时间信息为图7实施例中的第一信息中的操作影响信息、第一KPI的影响信息、第一操作的生效的时间信息，具体可以参考步骤S704，此处不再赘述。
步骤S1012：意图转译预评估模块实体向意图管理模块实体发送其他意图请求消息。
其中，该步骤为可选的步骤。
步骤S1013：意图管理模块实体接收来自意图转译预评估模块实体的其他意图请求消息。
其中，该步骤为可选的步骤。
步骤S1014：意图管理模块实体向意图转译预评估模块实体发送其他意图响应消息。
其中，该步骤为可选的步骤。
步骤S1015：意图转译预评估模块实体接收来自意图管理模块实体的其他意图响应消息。
其中，该步骤为可选的步骤。例如，其他意图响应消息包括除该意图目标之外的其他意图目标的信息。除该意图目标之外的其他意图目标的信息为图7实施例中的第一信息中的除该意图目标之外的其他意图目标的信息，具体可以参考步骤S704，此处不再赘述。
通过意图转译预评估模块实体向意图管理模块实体发送其他意图请求消息，相应的意图管理模块实体根据其他意图请求消息向意图转译预评估模块实体发送其他意图响应消息的方式，能够辅助意图系统进行意图冲突的检测，提高系统性能。
步骤S1016：意图转译预评估模块实体根据第一信息确定预评估类型对应的结果信息。
例如，第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息。第一信息还包括以下一项或多项：网络性能数据信息、第一操作的生效的时间信息、以及除该意图目标之外的其他意图目标的信息。具体可以参考步骤S705，此处不再赘述。
步骤S1017：意图转译预评估模块实体通过意图管理模块实体向BSS/OSS/APP/User发送结果信息。
步骤S1018：BSS/OSS/APP/User通过意图管理模块实体接收来自意图转译预评估模块实体的结果信息。
当然，图10所示意图转译预评估模块实体也可以拆成意图转译模块实体和意图预评估模块实体，此处不再赘述。
图11所述实施例所适用的系统架构可以包括：wIDN系统中的意图预评估和仿真模块实体、知识管理模块实体、意图管理模块实体、意图转译模块实体、以及辅助系统、BSS/OSS/APP/User，其与第一网元、第二网元、第三网元之间的对应关系如下：第一网元为如图3所示的wIDN系统中的意图预评估和仿真模块实体，第三网元为如图3所示的wIDN 系统中的知识管理模块实体、意图管理模块实体、意图转译模块实体、以及辅助系统，第二网元为BSS/OSS/APP/User中的网元。
步骤S1101：BSS/OSS/APP/User通过意图管理模块实体向意图预评估和仿真模块实体发送网络KPI的影响的预评估信息。
例如，BSS/OSS/APP/User还可以通过意图管理模块实体向意图预评估和仿真模块实体发送以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长。
步骤S1102：意图预评估和仿真模块实体通过意图管理模块实体接收来自BSS/OSS/APP/User的网络KPI的影响的预评估信息。
例如，意图预评估和仿真模块实体通过意图管理模块实体接收来自BSS/OSS/APP/User的以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长。具体可以参考步骤S802，此处不再赘述。
步骤S1103：意图转译模块实体进行意图转译。
例如，意图转译模块实体进行意图转译之前，可以接收来自意图管理模块实体的指示信息，该指示信息可以包括网络KPI的影响的预评估信息。意图转译模块实体进行意图转译可以是指意图转译模块实体根据网络KPI的影响的预评估信息确定第二操作，其中第二操作为影响该网络KPI的操作。
步骤S1104：意图转译模块实体进行词法语法分析。
步骤S1105：意图转译模块实体向意图预评估和仿真模块实体发送第二操作。
例如，发送第二操作的标识信息。
步骤S1106：意图预评估和仿真模块实体接收来自意图转译模块实体的第二操作。
步骤S1107：意图预评估和仿真模块实体向辅助系统发送性能数据请求消息。
其中，该步骤为可选的步骤，该性能数据请求消息包括第二操作。其中，性能数据请求消息可以为测量任务请求消息。
步骤S1108：辅助系统接收来自意图预评估和仿真模块实体的性能数据请求消息。
其中，该步骤为可选的步骤。
步骤S1109：辅助系统向意图预评估和仿真模块实体发送性能数据响应消息。
其中，该步骤为可选的步骤。例如，该性能数据响应消息包括网络性能数据信息，该网络性能数据信息是根据第二操作确定的。该网络性能数据消息为图8实施例中的第一信息中的网络性能数据信息，具体可以参考步骤S804，此处不再赘述。性能数据响应消息可以为测量任务响应消息。
步骤S1110：意图预评估和仿真模块实体接收来自辅助系统的性能数据响应消息。
其中，该步骤为可选的步骤。通过意图预评估和仿真模块实体向辅助系统发送性能数据请求消息，相应的，辅助系统根据性能数据请求消息向意图预评估和仿真模块实体发送性能数据响应消息的方式，能够辅助判断预评估终止条件以及预评估最大时长，能够使网络KPI的数值更加准确。
步骤S1111：意图预评估和仿真模块实体向知识管理模块实体发送操作信息请求消息。
步骤S1112：知识管理模块实体接收来自意图预评估和仿真模块实体的操作信息请求消息。
例如，操作信息请求消息包括第二操作的标识。
步骤S1113：知识管理模块实体向意图预评估和仿真模块实体发送操作信息响应消息。
步骤S1114：意图预评估和仿真模块实体接收来自知识管理模块实体的操作信息响应消 息。
例如，操作信息响应消息包括操作影响信息或第二KPI的影响信息。操作影响信息用于指示第二操作的互斥信息，第二KPI的影响信息用于指示第二操作对网络KPI的影响。例如，操作信息响应消息还可以包括第二操作的生效的时间信息。操作影响信息、第二KPI的影响信息、第二操作的生效的时间信息为图8实施例中的第一信息中的操作影响信息、第二KPI的影响信息、第二操作的生效的时间信息，具体可以参考步骤S804，此处不再赘述。
步骤S1115：意图预评估和仿真模块实体向意图管理模块实体发送其他意图请求消息。
其中，该步骤为可选的步骤。
步骤S1116：意图管理模块实体接收来自意图预评估和仿真模块实体的其他意图请求消息。
其中，该步骤为可选的步骤。
步骤S1117：意图管理模块实体向意图预评估和仿真模块实体发送其他意图响应消息。
其中，该步骤为可选的步骤。
步骤S1118：意图预评估和仿真模块实体接收来自意图管理模块实体的其他意图响应消息。
其中，该步骤为可选的步骤。例如，其他意图响应消息包括除网络KPI之外的其他网络KPI对应的意图的信息。除网络KPI之外的其他网络KPI对应的意图的信息为图8实施例中的第一信息中的除网络KPI之外的其他网络KPI对应的意图的信息，具体可以参考步骤S804，此处不再赘述。
通过意图预评估和仿真模块实体向意图管理模块实体发送其他意图请求消息，相应的意图管理模块实体根据其他意图请求消息向意图预评估和仿真模块实体发送其他意图响应消息的方式，能够辅助意图系统进行意图冲突的检测，提高系统性能。
步骤S1119：意图预评估和仿真模块实体根据第一信息确定预评估信息对应的评估值。
例如，第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息。第一信息还包括以下一项或多项：网络性能数据信息、第二操作的生效的时间信息、以及除网络KPI之外的其他网络KPI对应的意图的信息。具体可以参考步骤S805，此处不再赘述。
步骤S1120：意图预评估和仿真模块通过意图管理模块实体向BSS/OSS/APP/User发送评估值。
其中，该评估值可以承载于意图创建完成消息中。
步骤S1121：BSS/OSS/APP/User通过意图管理模块实体接收来自意图预评估和仿真模块实体的评估值。
当然，图11所示意图转译模块实体和意图预评估模块实体可以整合成一个模块实体，例如，意图转译预评估模块实体，该意图转译预评估模块实体可以同时实现意图转译模块实体和意图预评估模块实体所实现的功能，此处不再赘述。
上述详细阐述了本申请实施例的方法，下面提供了本申请实施例的装置。
请参见图12，图12是本申请实施例提供的一种意图预评估装置1200的结构示意图，该装置1200可以包括通信单元1201和处理单元1202，其中，各个单元的详细描述如下。
通信单元1201，用于接收来自第二网元的意图目标和预评估类型，该预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，该意图目标包括第一操作；
通信单元1201，用于接收来自第三网元的第一信息，该第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息。该操作影响信息用于指示该第一操作的互斥信息，该第一KPI的影响信息用于指示第一操作对该意图目标关联的KPI的影响或者对该网络KPI的影响；
处理单元1202，用于根据第一信息确定该预评估类型对应的结果信息，该结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；
该通信单元1201，用于向第二网元发送结果信息。
在一种可能的实现方式中，该意图目标包括意图目标的标识和/或意图目标的目标值。
在又一种可能的实现方式中，通信单元1201，还用于接收来自第二网元的以下一项或多项：预评估终止条件、预评估最大时长，该预评估终止条件用于确定该装置根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止；该预评估最大时长用于确定该装置根据第一信息确定预评估类型对应的结果信息的过程继续执行或终止。
在又一种可能的实现方式中，若结果信息包括意图达成结果的预评估信息，结果信息还包括以下一项或多项：结果信息的置信度、意图目标达成需要的时长、意图目标未达成的原因。
在又一种可能的实现方式中，若该结果信息包括该KPI的影响的预评估信息，该结果信息还包括以下一项或多项：该结果信息的置信度、该KPI的影响的预评估信息对应的KPI列表、该KPI的影响的预评估信息的置信度。
在又一种可能的实现方式中，该第一信息还包括以下一项或多项：网络性能数据信息、该第一操作的生效的时间信息、以及除该意图目标之外的其他意图目标的信息。
在又一种可能的实现方式中，该网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，该互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。
需要说明的是，各个单元的实现及有益效果还可以对应参照图7、图9、图10所示的方法实施例的相应描述。
请参见图12，图12是本申请实施例提供的一种意图预评估装置1200的结构示意图，该装置1200可以包括通信单元1201和处理单元1202，其中，各个单元的详细描述如下。
通信单元1201，用于接收来自第二网元的网络关键性能指标KPI的影响的预评估信息；
通信单元1201，用于接收来自第三网元的第一信息，第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，操作影响信息用于指示第二操作的互斥信息，第二KPI的影响信息用于指示第二操作对网络KPI的影响，第二操作为影响网络KPI的操作；
处理单元1202，用于根据第一信息确定预评估信息对应的评估值；
通信单元1201，用于向第二网元发送评估值。
在一种可能的实现方式中，通信单元1201，还用于接收来自第二网元的以下一项或多项： 预评估约束条件、预评估终止条件、预评估最大时长；预评估约束条件用于指示执行根据第一信息确定预评估信息对应的评估值的过程所受到的约束，预评估终止条件用于确定根据第一信息确定预评估信息对应的评估值过程继续执行或终止；预评估最大时长用于确定根据第一信息确定预评估信息对应的评估值的过程继续执行或终止。
在又一种可能的实现方式中，通信单元1201，用于根据第一信息确定预评估信息对应的评估值、以及评估值的置信度。
在又一种可能的实现方式中，第一信息还包括以下一项或多项：网络性能数据信息、第二操作的生效的时间、以及除网络KPI之外的其他网络KPI对应的意图的信息。
在又一种可能的实现方式中，网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，互斥信息包括互斥的操作标识信息，或指示是否互斥的指示信息。
需要说明的是，各个单元的实现及有益效果还可以对应参照图8、图11所示的方法实施例的相应描述。
请参见图13，图13是本申请实施例提供的一种意图预评估装置1300，该装置1300包括至少一个处理器1301和通信接口1303，可选的，还包括存储器1302，所述处理器1301、存储器1302和通信接口1303通过总线1304相互连接。
存储器1302包括但不限于是随机存储记忆体(random access memory，RAM)、只读存储器(read-only memory，ROM)、可擦除可编程只读存储器(erasable programmable read only memory，EPROM)、或便携式只读存储器(compact disc read-only memory，CD-ROM)，该存储器1302用于相关计算机程序及数据。通信接口1303用于接收和发送数据。
处理器1301可以是一个或多个中央处理器(central processing unit，CPU)，在处理器1301是一个CPU的情况下，该CPU可以是单核CPU，也可以是多核CPU。
该装置1300中的处理器1301用于读取所述存储器1302中存储的计算机程序代码，执行以下操作：
通过所述通信接口1303接收来自第二网元的意图目标和预评估类型，所述预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，所述意图目标包括第一操作；
通过所述通信接口1303接收来自第三网元的第一信息，所述第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，所述操作影响信息用于指示所述第一操作的互斥信息，所述第一KPI的影响信息用于指示所述第一操作对所述意图目标关联的KPI的影响或者对所述网络KPI的影响；
根据所述第一信息确定所述预评估类型对应的结果信息，所述结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；
通过所述通信接口1303向所述第二网元发送所述结果信息。
在一种可能的实现方式中，所述意图目标包括所述意图目标的标识和/或所述意图目标的目标值。
在又一种可能的实现方式中，所述至少一个处理器1301，还用于通过所述通信接口1303接收来自所述第二网元的以下一项或多项：预评估终止条件、预评估最大时长，所述预评估终止条件用于确定所述装置根据所述第一信息确定所述预评估类型对应的结果信息的过程继续执行或终止；所述预评估最大时长用于确定所述装置根据所述第一信息确定所述预评估类型对应的结果信息的过程继续执行或终止。
在又一种可能的实现方式中，若所述结果信息包括所述意图达成结果的预评估信息，所述结果信息还包括以下一项或多项：所述结果信息的置信度、所述意图目标达成需要的时长、所述意图目标未达成的原因。
在又一种可能的实现方式中，若所述结果信息包括所述KPI的影响的预评估信息，所述结果信息还包括以下一项或多项：所述结果信息的置信度、所述KPI的影响的预评估信息对应的KPI列表、所述KPI的影响的预评估信息的置信度。
在又一种可能的实现方式中，所述第一信息还包括以下一项或多项：网络性能数据信息、所述第一操作的生效的时间信息、以及除所述意图目标之外的其他意图目标的信息。
在又一种可能的实现方式中，所述网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，所述互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。
需要说明的是，各个操作的实现及有益效果还可以对应参照图7、图9、图10所示的方法实施例的相应描述。
请参见图13，图13是本申请实施例提供的一种意图预评估装置1300，该装置1300包括至少一个处理器1301和通信接口1303，可选的，还包括存储器1302，所述处理器1301、存储器1302和通信接口1303通过总线1304相互连接。
存储器1302包括但不限于是随机存储记忆体(random access memory，RAM)、只读存储器(read-only memory，ROM)、可擦除可编程只读存储器(erasable programmable read only memory，EPROM)、或便携式只读存储器(compact disc read-only memory，CD-ROM)，该存储器1302用于相关计算机程序及数据。通信接口1303用于接收和发送数据。
处理器1301可以是一个或多个中央处理器(central processing unit，CPU)，在处理器1301是一个CPU的情况下，该CPU可以是单核CPU，也可以是多核CPU。
该装置1300中的处理器1301用于读取所述存储器1302中存储的计算机程序代码，执行以下操作：
通过所述通信接口1303接收来自第二网元的网络关键性能指标KPI的影响的预评估信息；
通过所述通信接口1303接收来自第三网元的第一信息，所述第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，所述操作影响信息用于指示第二操作的互斥信息， 所述第二KPI的影响信息用于指示所述第二操作对所述网络KPI的影响，所述第二操作为影响所述网络KPI的操作；
根据所述第一信息确定所述预评估信息对应的评估值；
通过所述通信接口1303向所述第二网元发送所述评估值。
在一种可能的实现方式中，所述至少一个处理器1301，还用于通过所述通信接口1303接收来自第二网元的以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长；所述预评估约束条件用于指示执行所述根据所述第一信息确定所述预评估信息对应的评估值的过程所受到的约束，所述预评估终止条件用于确定所述根据所述第一信息确定所述预评估信息对应的评估值过程继续执行或终止；所述预评估最大时长用于确定所述根据所述第一信息确定所述预评估信息对应的评估值的过程继续执行或终止。
在又一种可能的实现方式中，所述至少一个处理器1301，还用于根据所述第一信息确定所述评估值的置信度。
在又一种可能的实现方式中，所述第一信息还包括以下一项或多项：网络性能数据信息、所述第二操作的生效的时间、以及除所述网络KPI之外的其他网络KPI对应的意图的信息。
在又一种可能的实现方式中，所述网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
在又一种可能的实现方式中，所述互斥信息包括互斥的操作标识信息，或指示是否互斥的指示信息。
需要说明的是，各个操作的实现及有益效果还可以对应参照图8、图11所示的方法实施例的相应描述。
本申请的实施例中的方法步骤可以通过硬件的方式来实现，也可以由处理器执行软件指令的方式来实现。软件指令可以由相应的软件模块组成，软件模块可以被存放于随机存取存储器、闪存、只读存储器、可编程只读存储器、可擦除可编程只读存储器、电可擦除可编程只读存储器、寄存器、硬盘、移动硬盘、CD-ROM或者本领域熟知的任何其它形式的存储介质中。一种示例性的存储介质耦合至处理器，从而使处理器能够从该存储介质读取信息，且可向该存储介质写入信息。当然，存储介质也可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。另外，该ASIC可以位于网络设备或终端设备中。当然，处理器和存储介质也可以作为分立组件存在于网络设备或终端设备中。
在上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机程序或指令。在计算机上加载和执行所述计算机程序或指令时，全部或部分地执行本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、网络设备、用户设备或者其它可编程装置。所述计算机程序或指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机程序或指令可以从一个网站站点、计算机、服务器或数据中心通过有线或 无线方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是集成一个或多个可用介质的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，例如，软盘、硬盘、磁带；也可以是光介质，例如，数字视频光盘；还可以是半导体介质，例如，固态硬盘。
在本申请的各个实施例中，如果没有特殊说明以及逻辑冲突，不同的实施例之间的术语和/或描述具有一致性、且可以相互引用，不同的实施例中的技术特征根据其内在的逻辑关系可以组合形成新的实施例。
本申请中，“至少一个”是指一个或者多个，“多个”是指两个或两个以上。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B的情况，其中A,B可以是单数或者复数。在本申请的文字描述中，字符“/”，一般表示前后关联对象是一种“或”的关系；在本申请的公式中，字符“/”，表示前后关联对象是一种“相除”的关系。
可以理解的是，在本申请的实施例中涉及的各种数字编号仅为描述方便进行的区分，并不用来限制本申请的实施例的范围。上述各过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定。

Claims (34)

  1. 一种意图预评估方法，其特征在于，包括：
    第一网元接收来自第二网元的意图目标和预评估类型，所述预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，所述意图目标包括第一操作；
    所述第一网元接收来自第三网元的第一信息，所述第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，所述操作影响信息用于指示所述第一操作的互斥信息，所述第一KPI的影响信息用于指示所述第一操作对所述意图目标关联的KPI的影响或者对所述网络KPI的影响；
    所述第一网元根据所述第一信息确定所述预评估类型对应的结果信息，所述结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；
    所述第一网元向所述第二网元发送所述结果信息。
  2. 根据权利要求1所述的方法，其特征在于，所述意图目标包括所述意图目标的标识和/或所述意图目标的目标值。
  3. 根据权利要求1或2所述的方法，其特征在于，所述第一网元还接收来自所述第二网元的以下一项或多项：预评估终止条件、预评估最大时长，所述预评估终止条件用于确定所述第一网元根据所述第一信息确定所述预评估类型对应的结果信息的过程继续执行或终止；所述预评估最大时长用于确定所述第一网元根据所述第一信息确定所述预评估类型对应的结果信息的过程继续执行或终止。
  4. 根据权利要求1-3任一项所述的方法，其特征在于，若所述结果信息包括所述意图达成结果的预评估信息，所述结果信息还包括以下一项或多项：所述结果信息的置信度、所述意图目标达成需要的时长、所述意图目标未达成的原因。
  5. 根据权利要求1-4任一项所述的方法，其特征在于，若所述结果信息包括所述KPI的影响的预评估信息，所述结果信息还包括以下一项或多项：所述结果信息的置信度、所述KPI的影响的预评估信息对应的KPI列表、所述KPI的影响的预评估信息的置信度。
  6. 根据权利要求1-5任一项所述的方法，其特征在于，所述第一信息还包括以下一项或多项：
    网络性能数据信息、所述第一操作的生效的时间信息、以及除所述意图目标之外的其他意图目标的信息。
  7. 根据权利要求1-6任一项所述的方法，其特征在于，所述网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、 信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
  8. 根据权利要求1-7任一项所述的方法，其特征在于，所述互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。
  9. 一种意图预评估方法，其特征在于，包括：
    第一网元接收来自第二网元的网络关键性能指标KPI的影响的预评估信息；
    所述第一网元接收来自第三网元的第一信息，所述第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，所述操作影响信息用于指示第二操作的互斥信息，所述第二KPI的影响信息用于指示所述第二操作对所述网络KPI的影响，所述第二操作为影响所述网络KPI的操作；
    所述第一网元根据所述第一信息确定所述预评估信息对应的评估值；
    所述第一网元向所述第二网元发送所述评估值。
  10. 根据权利要求9所述的方法，其特征在于，所述第一网元还接收来自第二网元的以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长；所述预评估约束条件用于指示执行所述根据所述第一信息确定所述预评估信息对应的评估值的过程所受到的约束，所述预评估终止条件用于确定所述根据所述第一信息确定所述预评估信息对应的评估值过程继续执行或终止；所述预评估最大时长用于确定所述根据所述第一信息确定所述预评估信息对应的评估值的过程继续执行或终止。
  11. 根据权利要求9或10所述的方法，其特征在于，所述第一网元根据所述第一信息确定所述预评估信息对应的评估值，包括：
    所述第一网元根据所述第一信息确定所述预评估信息对应的评估值、以及所述评估值的置信度。
  12. 根据权利要求9-11任一项所述的方法，其特征在于，所述第一信息还包括以下一项或多项：
    网络性能数据信息、所述第二操作的生效的时间、以及除所述网络KPI之外的其他网络KPI对应的意图的信息。
  13. 根据权利要求9-12任一项所述的方法，其特征在于，所述网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
  14. 根据权利要求9-13任一项所述的方法，其特征在于，所述互斥信息包括互斥的操作标识信息，或指示是否互斥的指示信息。
  15. 一种意图预评估装置，其特征在于，包括：通信单元和处理单元，
    所述通信单元，用于接收来自第二网元的意图目标和预评估类型，所述预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，所述意图目标包括第一操作；
    所述通信单元，用于接收来自第三网元的第一信息，所述第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，所述操作影响信息用于指示所述第一操作的互斥信息，所述第一KPI的影响信息用于指示所述第一操作对所述意图目标关联的KPI的影响或者对所述网络KPI的影响；
    所述处理单元，用于根据所述第一信息确定所述预评估类型对应的结果信息，所述结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；
    所述通信单元，用于向所述第二网元发送所述结果信息。
  16. 根据权利要求15所述的装置，其特征在于，所述意图目标包括所述意图目标的标识和/或所述意图目标的目标值。
  17. 根据权利要求15或16所述的装置，其特征在于，
    所述通信单元，还用于接收来自第二网元的以下一项或多项：预评估终止条件、预评估最大时长，所述预评估终止条件用于确定所述第一网元根据所述第一信息确定所述预评估类型对应的结果信息的过程继续执行或终止；所述预评估最大时长用于确定所述第一网元根据所述第一信息确定所述预评估类型对应的结果信息的过程继续执行或终止。
  18. 根据权利要求15-17任一项所述的装置，其特征在于，
    若所述结果信息包括所述意图达成结果的预评估信息，所述结果信息还包括以下一项或多项：所述结果信息的置信度、所述意图目标达成需要的时长、所述意图目标未达成的原因。
  19. 根据权利要求15-18任一项所述的装置，其特征在于，
    若所述结果信息包括所述KPI的影响的预评估信息，所述结果信息还包括以下一项或多项：所述结果信息的置信度、所述KPI的影响的预评估信息对应的KPI列表、所述KPI的影响的预评估信息的置信度。
  20. 根据权利要求15-19任一项所述的装置，其特征在于，所述第一信息还包括以下一项或多项：
    网络性能数据信息、所述第一操作的生效的时间信息、以及除所述意图目标之外的其他意图目标的信息。
  21. 根据权利要求15-20任一项所述的装置，其特征在于，所述网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换 成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
  22. 根据权利要求15-21任一项所述的装置，其特征在于，所述互斥信息包括互斥的操作的标识信息，或指示是否互斥的指示信息。
  23. 一种意图预评估装置，其特征在于，包括：通信单元和处理单元，
    所述通信单元，用于接收来自第二网元的网络关键性能指标KPI的影响的预评估信息；
    所述通信单元，用于接收来自第三网元的第一信息，所述第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，所述操作影响信息用于指示第二操作的互斥信息，所述第二KPI的影响信息用于指示所述第二操作对所述网络KPI的影响，所述第二操作为影响所述网络KPI的操作；
    所述通信单元，用于根据所述第一信息确定所述预评估信息对应的评估值；
    所述通信单元，用于向所述第二网元发送所述评估值。
  24. 根据权利要求23所述的装置，其特征在于，
    所述通信单元，还用于接收来自第二网元的以下一项或多项：预评估约束条件、预评估终止条件、预评估最大时长；所述预评估约束条件用于指示执行所述根据所述第一信息确定所述预评估信息对应的评估值的过程所受到的约束，所述预评估终止条件用于确定所述根据所述第一信息确定所述预评估信息对应的评估值过程继续执行或终止；所述预评估最大时长用于确定所述根据所述第一信息确定所述预评估信息对应的评估值的过程继续执行或终止。
  25. 根据权利要求23或24所述的装置，其特征在于，
    所述通信单元，用于根据所述第一信息确定所述预评估信息对应的评估值、以及所述评估值的置信度。
  26. 根据权利要求23-25任一项所述的装置，其特征在于，所述第一信息还包括以下一项或多项：
    网络性能数据信息、所述第二操作的生效的时间、以及除所述网络KPI之外的其他网络KPI对应的意图的信息。
  27. 根据权利要求23-26任一项所述的装置，其特征在于，所述网络KPI包括以下一项或多项：时延、吞吐率、速率、物理资源块PRB利用率、抖动、无线资源控制RRC建立成功率、服务质量流QoS Flow建立成功率、呼叫建立成功率、无线掉话率、同频切换成功率、异频切换成功率、中央处理器CPU利用率、小区可用率、无线网络可用率、数据业务上行流量、数据业务下行流量、平均用户数、最大用户数、上行干扰噪声、辅助主小区PSCell更换成功率、协议数据单元PDU总包数、PDU总数据量、覆盖曲线、参考信号接收功率RSRP平均值、信号干扰噪声比SINR平均值、基站能效值、基站能效等级。
  28. 根据权利要求23-27任一项所述的装置，其特征在于，所述互斥信息包括互斥的操作标识信息，或指示是否互斥的指示信息。
  29. 一种意图预评估装置，其特征在于，所述装置包括至少一个处理器和通信接口，所述至少一个处理器用于调用至少一个存储器中存储的计算机程序，以使得所述装置实现如权利要求1-8中任一项所述的方法。
  30. 一种意图预评估装置，其特征在于，所述装置包括至少一个处理器和通信接口，所述至少一个处理器用于调用至少一个存储器中存储的计算机程序，以使得所述装置实现如权利要求9-14中任一项所述的方法。
  31. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质中存储有程序指令，当所述程序指令在处理器上运行时，以实现如权利要求1-14任一项所述的方法。
  32. 一种计算机程序产品，其特征在于，当所述计算机程序产品在处理器上运行时，以实现权利要求1-14任一项所述的方法。
  33. 一种意图预评估方法，其特征在于，包括：
    第二网元向第一网元发送所述第二网元的意图目标和预评估类型，所述预评估类型包括意图达成结果的预评估信息、或网络关键性能指标KPI的影响的预评估信息，所述意图目标包括第一操作；
    所述第一网元接收来自第三网元的第一信息，所述第一信息包括以下一项或多项：操作影响信息或第一KPI的影响信息，所述操作影响信息用于指示所述第一操作的互斥信息，所述第一KPI的影响信息用于指示所述第一操作对所述意图目标关联的KPI的影响或者对所述网络KPI的影响；
    所述第一网元根据所述第一信息确定所述预评估类型对应的结果信息，所述结果信息包括：意图达成结果的预评估信息或KPI的影响的预评估信息；
    所述第一网元向所述第二网元发送所述结果信息。
  34. 一种意图预评估方法，其特征在于，包括：
    第二网元向第一网元发送所述第二网元的网络关键性能指标KPI的影响的预评估信息；
    所述第一网元接收来自第三网元的第一信息，所述第一信息包括以下一项或多项：操作影响信息或第二KPI的影响信息，所述操作影响信息用于指示第二操作的互斥信息，所述第二KPI的影响信息用于指示所述第二操作对所述网络KPI的影响，所述第二操作为影响所述网络KPI的操作；
    所述第一网元根据所述第一信息确定所述预评估信息对应的评估值；
    所述第一网元向所述第二网元发送所述评估值。
PCT/CN2022/125322 2021-10-20 2022-10-14 一种意图预评估方法及装置 WO2023066149A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202111223276.2 2021-10-20
CN202111223276.2A CN115996401A (zh) 2021-10-20 2021-10-20 一种意图预评估方法及装置

Publications (1)

Publication Number Publication Date
WO2023066149A1 true WO2023066149A1 (zh) 2023-04-27

Family

ID=85989277

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/125322 WO2023066149A1 (zh) 2021-10-20 2022-10-14 一种意图预评估方法及装置

Country Status (2)

Country Link
CN (1) CN115996401A (zh)
WO (1) WO2023066149A1 (zh)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110278111A (zh) * 2019-05-29 2019-09-24 西安电子科技大学 一种意图驱动网络通用架构及其意图驱动网络转译方法
CN112054917A (zh) * 2019-06-06 2020-12-08 华为技术有限公司 一种获取性能意图指标的方法、装置及系统
CN112583629A (zh) * 2019-09-30 2021-03-30 华为技术有限公司 一种信息处理方法、相关设备及计算机存储介质
WO2021104501A1 (zh) * 2019-11-28 2021-06-03 华为技术有限公司 意图处理方法和相关装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110278111A (zh) * 2019-05-29 2019-09-24 西安电子科技大学 一种意图驱动网络通用架构及其意图驱动网络转译方法
CN112054917A (zh) * 2019-06-06 2020-12-08 华为技术有限公司 一种获取性能意图指标的方法、装置及系统
CN112583629A (zh) * 2019-09-30 2021-03-30 华为技术有限公司 一种信息处理方法、相关设备及计算机存储介质
WO2021104501A1 (zh) * 2019-11-28 2021-06-03 华为技术有限公司 意图处理方法和相关装置

Also Published As

Publication number Publication date
CN115996401A (zh) 2023-04-21

Similar Documents

Publication Publication Date Title
EP3694181B1 (en) Session establishment method, device and system
WO2022011862A1 (zh) 一种o-ran与mec的通信方法及系统
WO2017186092A1 (zh) 网络切片的选择方法及装置
WO2019196813A1 (zh) 一种订阅服务的方法及装置
EP3780496B1 (en) Feature engineering programming method and apparatus
MX2008014184A (es) Transferencia de contexto de evento en un sistema de comunicacion heterogenea.
AU2019383599B2 (en) Method, apparatus, and system for obtaining capability information of terminal
JP6730511B2 (ja) ネットワークポリシー更新のトリガー方法、管理機能エンティティおよびコアネットワークデバイス
CN112236989A (zh) 用于无线网络的移动边缘计算应用管理
US20150117413A1 (en) Selecting a command node in a heterogeneous communication system
EP4195744A1 (en) Measurement method and device, communication node, and storage medium
WO2022171051A1 (zh) 一种通信方法和通信装置
WO2022226713A1 (zh) 策略确定的方法和装置
WO2022087930A1 (zh) 一种模型配置方法及装置
US9549349B2 (en) Handover in a telecommunications system with distributed processing
CN112583941B (zh) 一种支持接入多电力终端的方法、单元节点及电力物联网
WO2023066149A1 (zh) 一种意图预评估方法及装置
US20220053382A1 (en) Method and apparatus for handling protocol data unit session, and electronic device
WO2023207534A1 (zh) 网络管理方法及装置、系统、存储介质
WO2012126312A1 (zh) 异系统网络的接入方法以及接入网设备、终端
Shankhpal et al. KMFA2 based QoS improvement for multi‐channel IoT networks
Vorobeva Model of a Centralized Strategy for Selecting the Last Mile Access Network
WO2022002342A1 (en) Communication system
Zhang et al. A Blockchain-Based Distributed Machine Learning (BDML) Approach for Resource Allocation in Vehicular Ad-Hoc Networks
CN115589366A (zh) 数据处理方法、装置及系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22882757

Country of ref document: EP

Kind code of ref document: A1

REG Reference to national code

Ref country code: BR

Ref legal event code: B01A

Ref document number: 112024007516

Country of ref document: BR

WWE Wipo information: entry into national phase

Ref document number: 2022882757

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2022882757

Country of ref document: EP

Effective date: 20240430