CN114679498A

CN114679498A - Intention information processing method and device, electronic equipment and readable storage medium

Info

Publication number: CN114679498A
Application number: CN202210289146.7A
Authority: CN
Inventors: 唐春莺; 王达; 欧阳晔
Original assignee: Asiainfo Technologies China Inc
Current assignee: Asiainfo Technologies China Inc
Priority date: 2022-03-22
Filing date: 2022-03-22
Publication date: 2022-06-28
Anticipated expiration: 2042-03-22
Also published as: CN114679498B

Abstract

The embodiment of the application provides an intention information processing method and device, electronic equipment and a readable storage medium, and relates to the technical field of computers. The method comprises the following steps: the intention information processing method acquires the requirement information aiming at the network service, then determines the corresponding intention information based on the requirement information, and translates the intention information into the first capability index. And determining candidate service systems from the at least one service system based on the intention information, and acquiring a second capacity index of the candidate service systems. The current capability verification result of the candidate service system is obtained by comparing the first capability index with the second capability index, the first capability index is subjected to iterative optimization according to the current capability verification result until the optimized first capability index is matched with the service capability of the candidate service system, the parameter value of the first capability index is optimized to be within the service capability range which can be provided by the candidate service system, and therefore execution efficiency and effect of intention information are improved.

Description

Intention information processing method and device, electronic equipment and readable storage medium

Technical Field

The present application relates to the field of computer technologies, and in particular, to an intention information processing method and apparatus, an electronic device, and a readable storage medium.

Background

At present, due to the rapid development of technologies such as software defined networking, network function virtualization, natural language processing, artificial intelligence, and the like, a great revolution is occurring in the traditional network system. The management and operation and maintenance of large-scale enterprise networks are increasingly complex, and the increasing network scale and the increasingly complex network strategies bring unprecedented pressure to the operation and maintenance of the networks.

According to the traditional technical scheme, the network is configured by a manual management method, the complexity and labor cost of the network are gradually increased, the actual application requirements are difficult to meet, and the intention-driven network technology is produced.

The intention-driven network is a new network technology, and can realize that a terminal user and a network administrator do not need to pay attention to the implementation details of the network technology, and can match a service system corresponding to intention information by expressing the network service requirement and translating the network service requirement into the intention information, so as to obtain the automatic and intelligent service provided by the service system. However, in the current intent-driven network technology, when an intent capability requirement corresponding to a network service requirement is not matched with a service capability provided by a service system, it is difficult to issue matched intent information to the service system, so that a time delay in an execution process of the intent information is long, and an execution effect is not good enough.

Disclosure of Invention

The purpose of the embodiment of the application is to solve the problem that matched intention information is difficult to issue to a service system.

In a first aspect, the present application provides an intention information processing method, including:

acquiring demand information for network service, and determining corresponding intention information based on the demand information; converting the intent information into a first capability index;

determining a candidate service system from the at least one service system based on the intention information;

acquiring a second capability index of the candidate service system, and comparing the first capability index with the second capability index to acquire a current capability verification result of the candidate service system; the second capability index is used for representing the service capability of the candidate service system;

and performing iterative optimization on the first capability index according to the current capability verification result until the optimized first capability index is matched with the service capability of the candidate service system.

In an optional embodiment of the first aspect, the current capability verification result comprises a performance difference between the first capability index and the second capability index;

the method further comprises the following steps:

and determining a first threshold and a second threshold corresponding to the current capability verification result, wherein the corresponding first threshold and the corresponding second threshold are used for comparing with the performance difference.

In an optional embodiment of the first aspect, iteratively optimizing the first capability index according to the current capability verification result until the optimized first capability index matches the service capability of the candidate service system includes:

if the performance difference in the current capability verification result is smaller than or equal to the corresponding first threshold, judging that the first capability index is matched with the service capability of the candidate service system;

if the performance difference in the current capability verification result is larger than the corresponding first threshold and smaller than or equal to the corresponding second threshold, performing iterative optimization on the first capability index according to the current capability verification result, and accumulating the optimization times aiming at the first capability index until the performance difference in the capability verification result corresponding to the optimized first capability index is smaller than or equal to the corresponding first threshold or the optimization times are larger than a preset first time threshold;

and if the performance difference in the capability verification result corresponding to the optimized first capability index is less than or equal to the corresponding first threshold, judging that the optimized first capability index is matched with the service capability of the candidate service system.

In an optional embodiment of the first aspect, the method further comprises:

if the performance difference in the current capability verification result is greater than the corresponding second threshold or the optimization times for the first capability index is greater than the first time threshold, repeatedly executing the following operations until the first capability index is matched with the service capability of the candidate service system or the times of replacing the candidate service system are greater than the preset second time threshold:

determining a new candidate service system from the at least one service system;

and obtaining a second capacity index of the new candidate service system, comparing the first capacity index with the second capacity index, obtaining a current capacity verification result of the new candidate service system, and performing iterative optimization on the first capacity index according to the current capacity verification result.

In an optional embodiment of the first aspect, the type of the second capability indicator comprises at least one of a communication capability indicator, a computing capability indicator, and an artificial intelligence indicator; wherein the second capability index of each type includes a set of executable capability values and reachable capability values.

In an optional embodiment of the first aspect, the manner of obtaining the second capability index of the candidate service system includes at least one of:

providing a service capability registration function for the candidate service system so as to simultaneously acquire a second capability index of the candidate service system when acquiring the information of the registered candidate service system;

subscribing to a second capability index of the candidate service system;

after the intention information is determined, a second capability index of the service system is queried.

In an optional embodiment of the first aspect, the current capability verification result further includes a recommended optimization scheme and a reference value range; the recommended optimization scheme is determined according to the index types of the first capacity index and the second capacity index and the performance difference between the first capacity index and the second capacity index and is used for providing an optimization scheme aiming at the first capacity index; the reference value range is determined based on the second capability index and is used for prompting the value range which the first capability index should meet.

In a second aspect, there is provided an intention information processing apparatus, the apparatus including:

the system comprises an intention information acquisition module, a network service processing module and a response information acquisition module, wherein the intention information acquisition module is used for acquiring demand information aiming at the network service and determining corresponding intention information based on the demand information; converting the intention information into a first capability index;

the service system selection module is used for determining candidate service systems from at least one service system based on the intention information;

the verification result acquisition module is used for acquiring a second capability index of the candidate service system, comparing the first capability index with the second capability index and acquiring a current capability verification result of the candidate service system; the second capability index is used for representing the service capability of the candidate service system;

and the capability index optimization module is used for performing iterative optimization on the first capability index according to the current capability verification result until the optimized first capability index is matched with the service capability of the candidate service system.

In an optional embodiment of the second aspect, the current capability verification result comprises a performance difference between the first capability index and the second capability index;

the system also comprises a performance difference comparison module which is specifically used for:

In an optional embodiment of the second aspect, the capability index optimization module is specifically configured to, when performing iterative optimization on the first capability index according to the current capability verification result until the optimized first capability index matches the service capability of the candidate service system:

In an optional embodiment of the second aspect, the system further includes a service system replacement module, specifically configured to:

In an optional embodiment of the second aspect, the type of the second capability indicator comprises at least one of a communication capability indicator, a computing capability indicator, and an artificial intelligence indicator; wherein the second capability index of each type includes a set of executable capability values and reachable capability values.

In an optional embodiment of the second aspect, the system further includes a capability index obtaining module, and a manner of obtaining the second capability index of the candidate service system by the capability index obtaining module includes at least one of the following:

providing a service capability registration function for the candidate service system, so that a second capability index of the candidate service system is obtained when the information of the registered candidate service system is obtained;

subscribing to a second capability index of the candidate service system;

In an optional embodiment of the second aspect, the current capability verification result further includes a recommended optimization scheme and a reference value range; the recommended optimization scheme is determined according to the index types of the first capacity index and the second capacity index and the performance difference between the first capacity index and the second capacity index and is used for providing an optimization scheme aiming at the first capacity index; and the reference value range is determined based on the second capacity index and is used for prompting the value range which the first capacity index should meet.

In a third aspect, an electronic device is provided, which includes:

the system comprises a memory, a processor and a program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the intention information processing method of any one of the embodiments.

In a fourth aspect, there is provided a readable storage medium having stored thereon a program that, when executed by a processor, implements the intention information processing method of any one of the embodiments described above.

In a fifth aspect, a program product or program is provided that includes at least one instruction stored in a readable storage medium. The processor of the device reads the instructions from the readable storage medium, and executes the instructions, so that the device when executing implements the method provided in the embodiment of the first aspect.

The intention information processing method acquires the requirement information aiming at the network service, then determines the corresponding intention information based on the requirement information, and translates the intention information into the first capability index. And determining candidate service systems from the at least one service system based on the intention information, and acquiring a second capacity index of the candidate service systems. The current capability verification result of the candidate service system is obtained by comparing the first capability index with the second capability index, the first capability index is subjected to iterative optimization according to the current capability verification result until the optimized first capability index is matched with the service capability of the candidate service system, the parameter value of the first capability index is optimized to be within the service capability range which can be provided by the candidate service system, and therefore execution efficiency and effect of intention information are improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.

Fig. 1 is a schematic diagram of a system architecture for implementing an intention information processing method according to an embodiment of the present application;

fig. 2 is a schematic flowchart of an intention information processing method according to an embodiment of the present application;

fig. 3 is a schematic flowchart of an intention information processing method according to an embodiment of the present application;

fig. 4 is a schematic diagram of a system architecture in an intention information processing method according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an intention information processing apparatus according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device for intention information processing according to an embodiment of the present application.

Detailed Description

Embodiments of the present application are described below in conjunction with the drawings in the present application. It should be understood that the embodiments set forth below in connection with the drawings are exemplary descriptions for explaining technical solutions of the embodiments of the present application, and do not limit the technical solutions of the embodiments of the present application.

As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the terms "comprises" and/or "comprising," when used in this specification in connection with embodiments of the present application, specify the presence of stated features, information, data, steps, operations, elements, and/or components, but do not preclude the presence or addition of other features, information, data, steps, operations, elements, components, and/or groups thereof, as embodied in the art. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein indicates at least one of the items defined by the term, e.g., "a and/or B" may be implemented as "a", or as "B", or as "a and B".

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

At present, due to the rapid development of technologies such as software defined networking, network function virtualization, natural language processing, artificial intelligence, and the like, a great revolution is occurring in the traditional network system. The management and operation and maintenance of large-scale enterprise networks are increasingly complex, and the increasing network scale and the increasingly complex network strategies bring unprecedented pressure to the operation and maintenance of the networks. In line with the development trend, large organizations and pioneer companies all around the world propose intention network solutions for dealing with different scenes, wherein intention-driven network technologies gradually reveal mining.

The intention-driven network technology comprises modules of intention translation, strategy mapping, intention verification and the like, and based on technologies of natural language processing, formal verification, machine learning, network telemetry and the like, automatic, intelligent and convenient network operation and maintenance management is gradually realized, automatic and rapid network application deployment is realized, network agility is improved, underlying network details are shielded for users, and a network with user experience as a center is created as a core purpose.

However, in the current intent-driven network technology, when an intent capability requirement corresponding to a network service requirement is not matched with a service capability provided by a service system, it is difficult to issue matched intent information to the service system, so that a time delay in an execution process of the intent information is long, and an execution effect is not good enough.

In the prior art, a set of technical solutions with general applicability for optimizing intention information and indexes corresponding to the intention information does not exist, so that the capacity indexes corresponding to the intention information can be optimized within a service capacity range provided by a service system, and the efficiency and effect of executing the intention information are improved.

The intention information processing method, device, electronic equipment and readable storage medium provided by the application aim to solve the technical problems in the prior art.

First, several technical terms related to the present application are explained:

service consumer (consumer): may be the caller of the service, relying on the services of other services. In the present application, a service consumer may be an intent service consumer (or become an intent driven service consumer).

Service provider (producer): may be the callee of the service, providing the service of the service to other services. In this application, the service provider may be an intended service provider (or become an intended driven service provider).

The technical solutions of the embodiments of the present application and the technical effects produced by the technical solutions of the present application will be described below through descriptions of several exemplary embodiments. It should be noted that the following embodiments may be referred to, referred to or combined with each other, and the description of the same terms, similar features, similar implementation steps and the like in different embodiments is not repeated.

The intention information processing method provided in the embodiment of the application can be applied to intention service consumers. The intended service consumer may be a network element device, a network management system, a server and a terminal device associated with the system, and the like.

Fig. 1 is a schematic diagram of a system architecture for implementing an intention information processing method according to an embodiment of the present application, which can be roughly divided into three parts: an application layer, an intended service consumer, and an intended service provider.

The intention information can be directly input through a front-end portal or derived from other systems. Specifically, various operators or clients and applications provide demand information for network services, an intention service consumer can translate the demand information into intention information, express the intention information into various capability indexes corresponding to requirements, targets and contexts of an intention service provider, compare the capability indexes corresponding to the intention information with the capability indexes of the intention service provider to obtain intention information evaluation results, and can optimize the corresponding capability indexes based on the intention information evaluation results. The intention service provider can convert the received intention information or capability index into an operation or service executable in a management network, and continuously monitor and optimize the intention information in the intention life cycle to ensure that the service capability provided by the intention service provider can continuously meet the requirement of the intention information.

An embodiment of the present application provides an intention information processing method, as shown in fig. 2, which may be applied to an intention service consumer, and the method may include:

step S201, acquiring demand information aiming at network service, and determining corresponding intention information based on the demand information; the intent information is converted into a first capability indicator.

In the embodiment of the application, the intention service consumer can acquire the demand information provided by various operators, clients or applications from the application layer, clarify the demand information and analyze the semantics of the demand information, and compile and expand the demand information based on the preset intention knowledge base.

Wherein, the requirement clarification can be to clarify the background of the current requirement information and now, express the objective and solved problem that the requirement information is to achieve in a normalized language.

Compiling and extending the requirement information based on the preset intention knowledge base can be based on the preset intention knowledge base to standardize the description language of the intention information and extend the content and the constraint of the requirement information to obtain the corresponding intention information

The intent service consumer may translate the intent information into a first capability index that expresses a need for the intended service provider's service capabilities, which may be understood as a desire for the service capabilities provided by the intended service provider.

It should be noted that, in the embodiment of the present application, the "first" and the "second" of the first capability index and the second capability index are only used to distinguish whether the first capability index is a capability index corresponding to the intention information or a capability index of the candidate service system, specifically, the first capability index is a capability index corresponding to the intention information, and the second capability index is a capability index of the candidate service system. The nature of both the first capability indicator and the second capability indicator is a parameter or a range of parameters for quantifying service capabilities.

In step S202, candidate service systems are determined from at least one service system based on the intention information.

The intention service consumer can determine a candidate service system from the plurality of service systems according to the intention information and a preset intention strategy, and the candidate service system can be matched with the intention information in the subsequent step.

The preset intention policy may be to use, as the candidate service system, a service system with the most idle current execution state among the plurality of service systems, or to preliminarily compare the requirement of the intention information with the service capability that each service system can provide, select the most appropriate service system as the candidate service system, and determine the specific scheme of the candidate service system.

In some embodiments, a candidate service system may be determined from the plurality of service systems, the capability index of the candidate service system may be subsequently compared with the capability index corresponding to the intention information, and whether to issue the intention information or the capability index corresponding to the intention information to the candidate service system may be determined according to a comparison result.

In other embodiments, multiple candidate service systems may be determined from the multiple service systems, and the multiple candidate service systems may be ranked according to idleness, priority, and the like, which is not limited in this application. And comparing the capability indexes of the candidate service systems with the capability indexes corresponding to the intention information in sequence according to the sequence, optimizing the capability indexes corresponding to the intention information according to the comparison result and/or determining the best matched candidate service system from the candidate service systems, optimizing the capability indexes corresponding to the intention information and selecting the best matched candidate service system, and improving the efficiency and the effect of executing the intention information.

In the embodiment of the present application, the intended service provider may be selectable by the service system, and in fact, the present application does not limit the type of the intended service provider, and the intended service provider may also be various network element devices and the like.

Step S203, obtaining a second capability index of the candidate service system, comparing the first capability index and the second capability index, and obtaining a current capability verification result of the candidate service system.

The second capability index can be used for characterizing the service capability of the candidate service system, and the intention service consumer can obtain the second capability index of the candidate service system.

In this embodiment of the application, after the candidate service system is determined, the second capability index may be obtained from the candidate service system in real time, or the stored second capability index of the candidate service system may be determined from a preset database, the preset database may obtain the second capability index of the current time from each service system at intervals of a preset time, or automatically push the second capability index to the database when the second capability index of each service system is updated, which is not limited in this application.

In an embodiment of the present application, the second capability index may be used to quantify a service capability of the candidate service system. The type of the second capability index comprises at least one of a communication capability index, a calculation capability index and an artificial intelligence index; wherein the second capability index of each type includes a set of executable capability values and reachable capability values.

The executable capability value may be a service capability parameter that can be provided by a candidate server (or other type of intended service provider) at the current time for any capability index, or a service capability parameter recommended according to the predictive analysis and the intention policy. For example, the executable capability value may be a boundary value of a capability parameter based on a predicted kpi (key Performance indicator) indicator that is extremely degraded in Performance or a specific threshold.

The achievable capability value may be a maximum capability reached by the candidate server (or other type of intended service provider) at the current time or a business-specified threshold, i.e., a safety margin value for the capability parameter, for any capability index.

In addition, the expression form of the capability index may include corresponding constraint conditions in addition to specific parameter values and parameter value ranges, and the application is not limited.

Specifically, in a practical application scenario, a unified manner may be set to express the service capability of the intended service provider, for example, describing the service capability specification as a capability index or a corresponding parameter range. The second capability index is classified according to content, and may include, but is not limited to, the following types:

(1) the communication capability index is as follows: capability indicators that may be expressed as desired for communication network management, including but not limited to parameters quantified for the requirements of objects (network elements, services, slices, etc.) in the communication network, such as wireless domain coverage, peak data rate, spectral efficiency, user equipment throughput and corresponding indicator range, slice target and corresponding SLA (Service-Level Agreement) indicators, etc.;

(2) calculating force index: the calculation power is a parameter obtained by measuring data which can be processed by the computing equipment in unit time and is measured in the aspects of calculation, communication, storage and the like in the process of finishing different computing tasks by the intention service provider;

(3) AI (Artificial Intelligence) capability index: automated and intelligent capabilities for expressing the intent of the intent provider, such as performance indicators (accuracy, error, sensitivity) of the machine learning model, confidence of the AI, level of automation and intelligence, and the like.

The intention service consumer may obtain a second capability index from a preset database or a candidate service system (or other types of intention service providers), and the second capability index may include multiple parameters of the above types, which is not limited in this application.

The first capability index may also be one or more of the above-described plurality of types of capability indexes, corresponding to the plurality of types of second capability indexes.

When the intended service consumer compares the first and second capability indicators, the first capability indicator may be compared to a capability indicator of a type corresponding to the second capability indicator. For example, when the first capability index is the user equipment throughput, and the second capability index of the candidate service system includes the user equipment throughput, the wireless domain coverage, the peak data rate, and the spectral efficiency, the user equipment throughput of the first capability index and the user equipment throughput of the second capability index are compared to obtain the current capability verification result when the first capability index and the second capability index are compared.

In an embodiment of the present application, the current capability verification result includes a performance difference between the first capability index and the second capability index.

The intention information processing method provided by the application further comprises the following steps: and determining a first threshold and a second threshold corresponding to the current capability verification result, wherein the corresponding first threshold and the corresponding second threshold are used for comparing with the performance difference.

The performance difference may be obtained by subtracting the second capability index from the first capability index, and specifically, may be obtained by subtracting the executable capability value of the capability index in the second capability index from the first capability index.

In this embodiment, the first threshold corresponding to the current capability verification result may be set to be zero, and if the performance difference is less than or equal to the first threshold (zero), it indicates that the first capability index is less than or equal to the corresponding executable capability value.

The second threshold corresponding to the current capability verification result may be obtained by subtracting the executable capability value from the reachable capability value of the second capability index at the current time.

It is to be understood that, in the present application, the description of the first threshold and the second threshold as the first threshold and the second threshold corresponding to the current capability verification result may refer to that the first threshold and the second threshold are dynamically changed, and since the first threshold and the second threshold may be associated with the executable capability value and the reachable capability value of the second capability index, and the second capability index may be dynamically changed, the first threshold and the second threshold may also be dynamically changed. The first threshold and the second threshold corresponding to the current capability verification result may refer to the first threshold and the second threshold corresponding to the second capability index involved in obtaining the current capability verification result, or may refer to the first threshold and the second threshold at the current time when the performance difference in the capability verification result is compared with the threshold, and thus, the present application is not limited thereto.

And step S204, performing iterative optimization on the first capability index according to the current capability verification result until the optimized first capability index is matched with the service capability of the candidate service system.

In the embodiment of the application, the first capability index can be iteratively optimized according to the current capability verification result until the optimized first capability index is matched with the second capability index of the candidate service system, so that the capability index corresponding to the intention information is optimized within the service capability range of the candidate service system, the optimized first capability index is issued to the candidate service system to be converted into executable operation or service and executed, and the execution efficiency and the execution effect of the intention information are improved. The specific process of iterative optimization will be described in detail later.

The embodiment of the present application provides a possible implementation manner, and a manner of obtaining a second capability index manner of a candidate service system includes at least one of the following:

(1) and providing a service capability registration function for the candidate service system so as to simultaneously acquire the second capability index of the candidate service system when acquiring the information of the registered candidate service system. Specifically, the intention consumption system may provide a service capability registration function for each service system (including but not limited to a candidate service system), and the service system registered in the intention consumption system may acquire the second capability index of the selected service system while the intention consumption system acquires the information related to the service system from the service system.

(2) And subscribing to a second capability index of the candidate service system. Specifically, the intention consumption system may subscribe to the second capability index of each service system (including but not limited to the candidate service system), and may filter or filter the subscribed second capability index according to the intention information, and when the subscribed second capability index changes, the changed second capability index may be automatically pushed to the intention consumption system, or the second capability index at the current time may be automatically pushed to the intention consumption system at preset time intervals, which is not limited in the specific embodiment.

(3) After the intention information is determined, a second capability index of the service system is queried. Specifically, after the intent information is determined, the second capability index associated with the intent information may be queried for each service system, that is, a specific intent service capability corresponding to the intent information of each service system may be queried.

The embodiment of the present application provides a possible implementation manner, and the iterative optimization of the first capability index is performed according to the current capability verification result until the optimized first capability index is matched with the service capability of the candidate service system, which may include the following several cases:

(1) if the performance difference in the current capability verification result is smaller than or equal to the corresponding first threshold, judging that the first capability index is matched with the service capability of the candidate service system; specifically, when the first threshold is zero and the performance difference is obtained by subtracting the executable capacity value in the second capacity index from the first capacity index, if the performance difference is less than or equal to the first threshold, the first capacity index is less than or equal to the executable capacity value, and it can be considered that the first capacity index matches with the service capacity of the candidate service system;

(2) if the performance difference in the current capability verification result is larger than the corresponding first threshold and smaller than or equal to the corresponding second threshold, performing iterative optimization on the first capability index according to the current capability verification result, and accumulating the optimization times aiming at the first capability index until the performance difference in the capability verification result corresponding to the optimized first capability index is smaller than or equal to the corresponding first threshold or the optimization times are larger than a preset first time threshold;

In an example, assuming that the preset first time threshold is 5 times, the corresponding first threshold is 0, and the second threshold is 20, if the performance difference in the current capability verification result is 15, the performance difference is greater than the first threshold and less than the second threshold, at this time, the first capability index may be iteratively optimized according to the current capability verification result until the performance difference in the capability verification result corresponding to the optimized first capability index is less than or equal to the corresponding first threshold, or the number of times of optimization is greater than the preset first time threshold.

And assuming that the performance difference between the optimized first capability index and the second capability index at the current moment is-5 after three times of optimization, stopping iterative optimization when the optimized performance difference is smaller than the corresponding first threshold, and judging that the optimized first capability index is matched with the service capability of the candidate service system.

And assuming that after six times of optimization, the performance difference between the optimized first capability index and the second capability index at the current moment is '3', the optimized performance difference is greater than the first threshold and less than the second threshold, the condition that the performance difference is less than or equal to the first threshold is not met, but the optimization times are greater than the first threshold, and the iterative optimization process is ended.

The intention information processing method provided by the application provides a way of adopting corresponding optimization schemes according to different comparison results after comparing the performance difference with the threshold, the related conditions are comprehensive, and compared with the optimization schemes in the prior art, the optimization method provided by the application is more systematic and specific.

In an embodiment of the present application, the intention information processing method provided by the present application further includes the following steps:

If the performance difference obtained after any optimization is larger than the corresponding second threshold or the condition that the performance difference is smaller than the first threshold is not met after the first performance index is optimized for multiple times according to the second performance index of the candidate service system determined currently, a new candidate service system can be determined from at least one service system again, and the iterative optimization is performed on the first performance index at the current moment according to the second performance index of the new candidate service system again until the first performance index is matched with the service performance of the candidate service system or the number of times of replacing the candidate service system is larger than the preset second number threshold.

The second time threshold may be a threshold for replacing the candidate service system, and if the number of times of replacing the candidate service system is greater than the second time threshold, the intended service consumer may feed back the problem that the intention information and the service capability are not matched to the application layer, and may feed back the value range of the capability index corresponding to the capability verification result or the recommended intention information to the application layer. When feedback is performed, the feedback content needs to be reversely translated into feedback information which can be understood by the application layer. The application layer may perform demand modification or clarification according to the feedback information and then re-send the modified demand information to the intended service consumer.

The embodiment of the application provides a possible implementation mode, and the current capability verification result also comprises a recommended optimization scheme and a reference value range; the recommended optimization scheme is determined according to the index types of the first capacity index and the second capacity index and the performance difference between the first capacity index and the second capacity index and is used for providing an optimization scheme aiming at the first capacity index; the reference value range is determined based on the second capability index and is used for prompting the value range which the first capability index should meet.

In an actual application scenario, the expression form of the capability verification result may be a capability verification report, which may be used as an important basis for optimizing the first capability index, and may also be used as a reference for updating a new candidate service system.

The difference between the intention information and the service capability of the candidate service system (or other type of intention service provider) can be clearly expressed in the capability verification report, and the content of the capability verification report can include but is not limited to poor performance, recommended optimization scheme and reference value range.

Wherein the performance difference may be derived by comparing the first capability index and the second capability index; the recommended optimization scheme may be used to provide a recommended optimization manner, for example, supplement a constraint condition, improve the priority of the intention information, or modify a parameter value of the first capability index, or the like; the reference value range may be used to feed back a specific executable capacity value as a reference for optimizing the first capacity index or optimizing the demand or intention information.

In order to more clearly explain the intention information processing method of the present application, the intention information processing method will be further described below with reference to specific examples.

As shown in fig. 3, the intention information processing method provided by the present application may include the following steps:

step S301, acquiring demand information for network service, determining corresponding intention information based on the demand information, and converting the intention information into a first capability index;

step S302, determining candidate service systems from at least one service system based on intention information;

step S303, acquiring a second capability index of the candidate service system, comparing the first capability index with the second capability index, and acquiring a current capability verification result of the candidate service system; the second capability index is used for representing the service capability of the candidate service system;

step S304, determining a first threshold and a second threshold corresponding to the current capability verification result, wherein the corresponding first threshold and the corresponding second threshold are used for comparing with the performance difference in the current capability verification result;

step S305, judging whether the performance difference is smaller than or equal to a corresponding first threshold, if so, entering step S306, otherwise, entering step S307;

step S306, finishing iterative optimization, and judging that the first capability index is matched with the service capability of the candidate service system;

step S307, judging whether the performance difference is larger than the corresponding first threshold and smaller than or equal to the corresponding second threshold, if so, entering step S308, otherwise, entering step S312;

step S308, performing iterative optimization on the first capacity index according to the current capacity verification result, and accumulating the optimization times aiming at the first capacity index until the performance difference in the capacity verification result corresponding to the optimized first capacity index is less than or equal to the corresponding first threshold, or the optimization times are greater than the preset first time threshold;

step S309, judging whether the performance difference in the capability verification result corresponding to the optimized first capability index is less than or equal to a corresponding first threshold, if so, entering step S306, otherwise, entering step S310;

step S310, judging whether the optimization times is greater than a preset first time threshold value, if so, entering step S312, otherwise, entering step S311;

step S311, according to the optimized first ability index and the second ability index at the current moment, re-obtaining the current ability verification result, and entering step S308;

step S312, determining a new candidate service system from the at least one service system, obtaining a current capability verification result of the new candidate service system, and entering step S308.

In one embodiment, the intended service consumer may be a network management system of a network device vendor. The network operator may send demand information to the network management system, for example expressing various demands on the network services, such as throughput and network coverage that must be performed.

In this embodiment, the intention processing method may include the steps of:

in the first step, the intention service consumer obtains the wireless network performance requirement information from the network operator, such as the maximum number of users to be supported, the geographic location, and the service performance of the users to be satisfied. The intention service consumer can expand and translate the demand information according to a preset intention strategy and an intention knowledge base, for example, city a is converted into a parameter requirement of a coverage range (such as a coverage cell list), a user service requirement is converted into a user performance index requirement (such as maximum user capacity and throughput requirement supported by a network), and the intention information described by a normalized language corresponding to the demand information is obtained.

Secondly, the intention service consumer analyzes the intention information according to the intention strategy and determines candidate intention service providers, for example, a wireless network management system providing services is used as the candidate intention service provider.

And thirdly, transferring the intention information into corresponding capability indexes, such as:

a) coverage index of RAN (Wireless Access Network, radio Access Network), or RSRP (Reference Signal Receiving Power), and Signal to interference plus noise ratio index range requirement;

b) RAN capability index (maximum number of users, activity coefficient);

c) throughput index of RAN (average throughput index of uplink and downlink, lowest throughput index of uplink and downlink);

d) constraints and context (public land mobile network list, cell list, etc.).

Fourthly, the intention service consumer obtains the wireless performance index which can be provided by the wireless network management system, compares the capability index of the intention information with the capability index of the wireless network management system, outputs a capability verification report, and can execute the following operations according to different capability comparison results:

a) when the performance difference is smaller than or equal to a preset first threshold, the capability index corresponding to the intention information is considered to be within the service capability range provided by the wireless network management system, and the intention information is issued to the wireless network management system;

b) and when the performance difference is larger than a preset first threshold and smaller than or equal to a preset second threshold, for example, a configurable resource range reserved by the wireless network management system for the uplink and downlink average throughput index of the user, or when an intention service provider predicts that the throughput index cannot reach an intention requirement range when the network is busy, optimizing the capacity index corresponding to the intention information until the optimized capacity index is matched with the service capacity of the wireless network management system.

c) When the optimization times in the step b) are greater than a preset first time threshold, or when the performance difference is greater than a corresponding second threshold in the optimization process, for example, the coverage cell list does not belong to the management range of the intended service provider, and the RSRP and SINR index ranges exceed the maximum index range that the intended service provider can achieve in executing network configuration, the candidate intended service provider is replaced, or the capability index corresponding to the intention information is allocated to multiple candidate intended service providers, and the specific optimization mode is not limited in the present application.

d) When the number of times of replacing the candidate intention service provider is larger than the preset second number threshold, the intention service consumer feeds back that the intention demand of the wireless user exceeds the capability range of the network to the network operator, and the application layer can modify the demand information and reenter the first step.

Fifthly, when the capability index corresponding to the optimized intention information is matched with the service capability of the candidate service system, the intention information is issued to the candidate service system.

In an embodiment, a plurality of candidate service systems may be determined at the same time, and a schematic diagram of the method for processing intention information provided by the present application may be as shown in fig. 4, and may include the following steps:

in step S1, the application layer T1 (e.g., operators, various clients or applications) puts forward a request for network management or service, and the intention service consumer obtains the request from the application layer, processes the request according to the preset intention knowledge base data, and translates the request into intention information meeting the preset language specification. Specifically, the method for processing the requirement includes, but is not limited to, requirement clarification, semantic parsing, compiling requirement, expanding content and constraint of the requirement, and the like.

In step S2, the intention service consumer obtains the intention service provider information of each intention service provider accessible in the network, and selects a plurality of candidate intention service providers according to a preset intention policy. The preset intention policy may be some preset methods for preliminarily screening the intention service providers, for example, a plurality of feasible candidate intention service providers are selected according to the matching degree of the intention service provider information and the intention information of each intention service provider.

Step S3, translating the intention information into a corresponding first ability index according to the standardized language standard used by the determined candidate intention service provider; the first capability index may be used to describe target information and context information corresponding to requirements of the intended service provider, where the target information may refer to a numerical value that the capability index of the intended service provider is expected to satisfy, and the context information may be a constraint condition that the capability index of the intended service provider is expected to satisfy.

Step S4, the intention service consumer respectively obtains a second ability index of each candidate intention service provider, where the second ability index may be used to describe the service ability of each candidate intention service provider, and compares the first ability index with the second ability index of each candidate intention service provider, respectively, to obtain a corresponding ability verification report.

Specifically, the plurality of candidate intended service providers may be ranked, and the ranking method is not limited in this application. The first capability index can be sequentially compared with the second capability index of each candidate intended service provider according to the arrangement sequence of each intended service provider, so as to obtain a corresponding capability verification report.

The first ability index and the second ability index can be a single index or multiple indexes. Generally, the second capability index may be a plurality of indexes, and the first capability index is matched and then compared.

Specifically, comparing the first capability index with the second capability index of each candidate intended service provider may refer to comparing the first capability index with a matching (i.e., the same type of index) index in the second capability indexes.

In the process of capability verification of each intention service provider, when the first capability index is respectively compared with the second capability index of each candidate intention service provider, a current capability verification report is obtained, the current capability verification report comprises the performance difference between the first capability index and the second capability index, and according to different performance differences, an intention service consumer can execute the following operations:

(1) judging the size relation between the performance difference and the corresponding first threshold and second threshold;

when the performance difference is smaller than or equal to the corresponding first threshold, the service capability expected by the intention information is in the capability range of the candidate intention service provider, taking the current capability verification report as a target capability verification report, and entering the step (2); when the performance difference is larger than the corresponding second threshold, the step (2) is also carried out;

when the performance difference is greater than the corresponding first threshold and less than or equal to the corresponding second threshold, the intent service consumer may perform iterative optimization on the first capability indicator, specifically including the following operations:

A. executing the step (i) in fig. 4, optimizing the first capability index corresponding to the intention information by referring to the recommended scheme and the recommended value range in the current capability verification report, wherein the optimization mode may include, but is not limited to, modifying a parameter value of the first capability index or increasing/decreasing an execution condition (constraint condition) corresponding to the intention information, and the like, and entering the step (B) after the optimization is completed;

B. recording the optimization times corresponding to the intention service provider by the intention service consumer, adding one to the optimization times when completing one optimization, and entering the step C; specifically, the optimization times corresponding to the intended service provider may refer to the optimization times of the first capability index with reference to the second capability index of the intended service provider and the corresponding capability verification report, and the optimization times corresponding to different intended service providers may be counted separately; for example, after comparing the second capability index of the intended service provider a with the first capability index, obtaining a corresponding capability verification report, performing 5 suboptimizations on the first capability index based on the obtained capability verification report, and ending the capability verification process for the intended service provider a, the number of optimization times corresponding to the intended service provider a is 5, when performing capability verification for the next intended service provider, the number of optimization times will be counted from zero, and the number of optimization times corresponding to each intended service provider is counted independently;

C. judging whether the optimization times corresponding to the intended service provider is larger than a preset first time threshold or not, if so, entering the step (2), otherwise, entering the step D;

D. after the optimized first capacity index is obtained, a second capacity index of the candidate intention service provider at the current moment is obtained, the optimized first capacity index and the second capacity index of the candidate intention service provider at the current moment are compared, and a new capacity verification report is obtained and serves as a new current capacity verification report; determining a first threshold and a second threshold corresponding to the current capability verification report, and detecting the relationship between the performance difference in the new current capability verification report and the corresponding first threshold and second threshold;

if the performance difference in the new current capability verification report is smaller than or equal to the corresponding first threshold, the service capability expected by the intention information is in the capability range of the candidate intention service provider, the first capability index corresponding to the intention information is judged to be matched with the service capability of the candidate intention service provider, the optimization process is ended, and the optimized first capability index is issued to the candidate intention service provider;

if the performance difference in the new current capability verification report is larger than the corresponding first threshold and is smaller than or equal to the corresponding second threshold, continuing to perform iterative optimization on the first capability index after the optimization, and entering the step A;

(2) executing the step two in the figure 4, ending the capacity verification process aiming at the current candidate intended service provider, taking the next candidate intended service provider in the arrangement sequence as a new current candidate intended service provider, comparing the first capacity index with the second capacity index of the new current intended service provider, obtaining a corresponding current capacity verification report, counting the number of times of replacing the intended service provider, if the number of times of replacing the intended service provider is less than or equal to the preset second number threshold, entering the step (1), otherwise, entering the step (3);

(3) when the number of times of replacing the intention service provider is greater than the preset second number threshold, executing the step three in fig. 4, feeding back the problem that the requirement of the intention translation process is not matched with the capability provided by the intention service provider to the application layer, and feeding back the acquired capability verification report or the recommended index value range to the application layer by the intention service consumer; the application layer may perform demand clarification according to the feedback content, or modify the customer demand according to the recommended index value range, and send the modified demand to the intention service consumer, and then proceed to step S1.

In the above-mentioned intention information processing method, if a plurality of first ability indexes are obtained by translating the intention information, when the first ability indexes are respectively compared with the second ability indexes of the candidate intention service providers, for each candidate intention service provider, the second ability indexes corresponding to the first ability indexes are determined from the second ability indexes of the candidate intention service provider, and are compared one by one, so as to obtain the current ability verification report of the intention service provider, where the current ability verification report includes the performance difference corresponding to each first ability index.

The optimization sequence of each first capability index can be determined according to the importance degree of the preset capability index, and each first capability index is sequentially optimized based on the optimization sequence, wherein the optimization method can be as described in the steps (1) to (2). If the performance difference corresponding to any one of the first capability indexes is larger than the corresponding second threshold or the optimization times are larger than the first time threshold, ending the capability verification process aiming at the current candidate intention service provider, and taking the next candidate intention service provider in the ranking sequence as a new current candidate intention service provider. In addition, if the performance difference corresponding to each first performance indicator is less than or equal to the corresponding first threshold, the performance verification process for the current candidate intended service provider may also be ended, a new current candidate intended service provider is determined, and the candidate intended service provider corresponding to the performance verification report whose performance difference corresponding to each first performance indicator is less than or equal to the corresponding first threshold is marked as executable. Finally, when all the candidate intended service providers are traversed, the optimal first capability index of the candidate intended service provider for publishing the intention information at the current moment can be selected from the candidate intended service providers according to a preset intention strategy, or the first capability index is distributed and published to a plurality of suitable intended service providers.

An embodiment of the present application provides an intention information processing apparatus, and as shown in fig. 5, the intention information processing apparatus 50 may include: intention information acquisition module 501, service system selection module 502, verification result acquisition module 503, and capability index optimization module 504, wherein,

an intention information obtaining module 501, configured to obtain requirement information for a network service, and determine corresponding intention information based on the requirement information; converting the intention information into a first capability index;

a service system selection module 502 for determining a candidate service system from the at least one service system based on the intention information;

a verification result obtaining module 503, configured to obtain a second capability index of the candidate service system, compare the first capability index with the second capability index, and obtain a current capability verification result of the candidate service system; the second capability index is used for representing the service capability of the candidate service system;

and the capability index optimization module 504 is configured to perform iterative optimization on the first capability index according to the current capability verification result until the optimized first capability index is matched with the service capability of the candidate service system.

The intention information processing device acquires the requirement information aiming at the network service, then determines the corresponding intention information based on the requirement information, and translates the intention information into the first capability index. And determining candidate service systems from the at least one service system based on the intention information, and acquiring a second capacity index of the candidate service systems. The current capability verification result of the candidate service system is obtained by comparing the first capability index with the second capability index, the first capability index is subjected to iterative optimization according to the current capability verification result until the optimized first capability index is matched with the service capability of the candidate service system, the parameter value of the first capability index is optimized to be within the service capability range which can be provided by the candidate service system, and therefore execution efficiency and effect of intention information are improved.

In the embodiment of the application, the current capability verification result comprises a performance difference between a first capability index and a second capability index;

In this embodiment of the present application, the capability index optimization module 504, when performing iterative optimization on the first capability index according to the current capability verification result until the optimized first capability index matches the service capability of the candidate service system, is specifically configured to:

In an embodiment of the present application, the system further includes a service system replacement module, which is specifically configured to:

In the embodiment of the present application, the type of the second capability index includes at least one of a communication capability index, a computing capability index, and an artificial intelligence index; wherein the second capability index of each type includes a set of executable capability values and reachable capability values.

In this embodiment of the present application, the method further includes a capability index obtaining module, where a manner of obtaining the second capability index of the candidate service system by the capability index obtaining module includes at least one of the following:

subscribing to a second capability index of the candidate service system;

In the embodiment of the application, the current capability verification result further comprises a recommended optimization scheme and a reference value range; the recommended optimization scheme is determined according to the index types of the first capacity index and the second capacity index and the performance difference between the first capacity index and the second capacity index and is used for providing an optimization scheme aiming at the first capacity index; and the reference value range is determined based on the second capacity index and is used for prompting the value range which the first capacity index should meet.

The apparatus of the embodiment of the present application may execute the method provided by the embodiment of the present application, and the implementation principle is similar, the actions executed by the modules in the apparatus of the embodiments of the present application correspond to the steps in the method of the embodiments of the present application, and for the detailed functional description of the modules of the apparatus, reference may be specifically made to the description in the corresponding method shown in the foregoing, and details are not repeated here.

The embodiment of the present application provides an electronic device (computer apparatus/device/system), including a memory, a processor and a computer program stored on the memory, where the processor executes the computer program to implement the steps of the intention information processing method, and compared with the related art, the method can implement: and optimizing the parameter value of the first capability index into the service capability range which can be provided by the candidate service system, thereby improving the execution efficiency and effect of the intention information.

In an alternative embodiment, an electronic device is provided, as shown in fig. 6, the electronic device 4000 shown in fig. 6 comprising: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, and the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.

The Processor 4001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.

Bus 4002 may include a path that carries information between the aforementioned components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 4002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.

The Memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium, other magnetic storage devices, or any other medium that can be used to carry or store a computer program and that can be Read by a computer, without limitation.

The memory 4003 is used for storing computer programs for executing the embodiments of the present application, and is controlled by the processor 4001 to execute. The processor 4001 is configured to execute a computer program stored in the memory 4003 to implement the steps shown in the foregoing method embodiments.

Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, PADs, etc., and fixed terminals such as digital TVs, desktop computers, etc.

Embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, and when being executed by a processor, the computer program may implement the steps and corresponding contents of the foregoing method embodiments.

Embodiments of the present application further provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps and corresponding contents of the foregoing method embodiments can be implemented.

The terms "first," "second," "third," "fourth," "1," "2," and the like in the description and in the claims of the present application and in the above-described drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in other sequences than described or illustrated herein.

It should be understood that, although each operation step is indicated by an arrow in the flowchart of the embodiment of the present application, the implementation order of the steps is not limited to the order indicated by the arrow. In some implementation scenarios of the embodiments of the present application, the implementation steps in the flowcharts may be performed in other sequences as desired, unless explicitly stated otherwise herein. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on an actual implementation scenario. Some or all of these sub-steps or stages may be performed at the same time, or each of these sub-steps or stages may be performed at different times. In a scenario where execution times are different, an execution sequence of the sub-steps or the phases may be flexibly configured according to requirements, which is not limited in the embodiment of the present application.

The foregoing is only an optional implementation manner of a part of implementation scenarios in this application, and it should be noted that, for those skilled in the art, other similar implementation means based on the technical idea of this application are also within the protection scope of the embodiments of this application without departing from the technical idea of this application.

Claims

1. An intention information processing method characterized by comprising:

acquiring demand information for network service, and determining corresponding intention information based on the demand information; converting the intent information into a first capability indicator;

determining a candidate service system from at least one service system based on the intention information;

acquiring a second capacity index of the candidate service system, comparing the first capacity index with the second capacity index, and acquiring a current capacity verification result of the candidate service system; the second capability index is used for characterizing the service capability of the candidate service system;

and performing iterative optimization on the first capacity index according to the current capacity verification result until the optimized first capacity index is matched with the service capacity of the candidate service system.

2. The intention information processing method of claim 1, wherein the current capability verification result includes a performance difference between the first capability index and the second capability index;

the method further comprises the following steps:

3. The method for processing the intention information according to claim 2, wherein the iteratively optimizing the first capability index according to the current capability verification result until the optimized first capability index matches the service capability of the candidate service system comprises:

if the performance difference in the current capability verification result is smaller than or equal to a corresponding first threshold, judging that the first capability index is matched with the service capability of the candidate service system;

if the performance difference in the current capability verification result is greater than a corresponding first threshold and less than or equal to a corresponding second threshold, performing iterative optimization on the first capability index according to the current capability verification result, and accumulating the optimization times aiming at the first capability index until the performance difference in the capability verification result corresponding to the optimized first capability index is less than or equal to the corresponding first threshold or the optimization times are greater than a preset first time threshold;

4. The intention information processing method according to claim 3, characterized by further comprising:

if the performance difference in the current capability verification result is greater than a corresponding second threshold or the optimization times for the first capability index are greater than the first time threshold, repeatedly executing the following operations until the first capability index is matched with the service capability of the candidate service system or the times for replacing the candidate service system are greater than a preset second time threshold:

5. The intention information processing method of any one of claims 1 to 4, wherein the type of the second ability index includes at least one of a communication ability index, an arithmetic ability index, and an artificial intelligence index; wherein the second capability index of each type includes a set of executable capability values and reachable capability values.

6. The intention information processing method of claim 5, wherein the manner of obtaining the second capability index manner of the candidate service system comprises at least one of:

providing a service capability registration function for the candidate service system, so that a second capability index of the candidate service system is obtained when the registered information of the candidate service system is obtained;

subscribing to a second capability indicator for the candidate service system;

and after the intention information is determined, inquiring a second capability index of the service system.

7. The intention information processing method of claim 6, wherein the current capability verification result further includes a recommended optimization scheme and a reference value range; the recommended optimization scheme is determined according to the index types of the first capacity index and the second capacity index and the performance difference between the first capacity index and the second capacity index and is used for providing an optimization scheme aiming at the first capacity index; the reference value range is determined based on the second capability index and is used for prompting the value range which the first capability index should meet.

8. An intention information processing apparatus characterized by comprising:

the system comprises an intention information acquisition module, a network service processing module and a response module, wherein the intention information acquisition module is used for acquiring demand information aiming at the network service and determining corresponding intention information based on the demand information; converting the intent information into a first capability indicator;

a service system selection module for determining candidate service systems from at least one service system based on the intention information;

a verification result obtaining module, configured to obtain a second capability index of the candidate service system, compare the first capability index with the second capability index, and obtain a current capability verification result of the candidate service system; the second capability index is used for characterizing the service capability of the candidate service system;

9. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the steps of the method of any of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the intention information processing method of any one of claims 1 to 7.