CN108616392B - Intelligent terminal service configuration system and method - Google Patents

Intelligent terminal service configuration system and method Download PDF

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Publication number
CN108616392B
CN108616392B CN201810325493.4A CN201810325493A CN108616392B CN 108616392 B CN108616392 B CN 108616392B CN 201810325493 A CN201810325493 A CN 201810325493A CN 108616392 B CN108616392 B CN 108616392B
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data
preference
configuration
rule
service
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CN108616392A (en
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商琦
陆正
陈栋良
曹纪清
董明华
卢晨
刘正
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Suzhou Industrial Park Institute of Services Outsourcing
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0893Assignment of logical groups to network elements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/2866Architectures; Arrangements
    • H04L67/30Profiles
    • H04L67/303Terminal profiles
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Telephonic Communication Services (AREA)

Abstract

The invention provides an intelligent terminal service configuration method and system, which specifically comprise the following steps: receiving configuration data, the configuration data associated with a quality rule; receiving preference data, the preference data associated with a preference rule; determining the traffic profile based at least in part on a comparison of the quality rules and the preference rules. The intelligent terminal service configuration method provided by the invention not only can carry out personalized customized service configuration according to the user preference requirement to the maximum extent under the condition that the received configuration data does not conform to the actual preference data of the user, but also can carry out real-time query, addition, deletion, modification and update operations on the preference data of the user and the service configuration, thereby improving the flexibility and stability of the intelligent terminal service configuration.

Description

Intelligent terminal service configuration system and method
Technical Field
The invention relates to the field of service configuration; and more particularly, to a service provisioning system and method for intelligent terminals.
Background
The devices such as the block chain node and the intelligent terminal are located between the user and the core network in the communication network topology structure, and the uplink direction is connected with the core network device to receive various data from the core network device, such as service configuration data and signaling control data. The handheld device usually has preset data inside, and most of the preset data are pre-configured when the device leaves a factory, and control the default or initial business process of the handheld device. That is, the preset data controls the handheld device to perform various different services and service flows. In the conventional service configuration, once preset data is given by factory, the preset data cannot be modified and updated, so that the service configuration flexibility of a user is poor, and the user experience is poor.
Meanwhile, in a telecommunication-level, business-level or home-level network topology, a large amount of message interaction or data interaction exists between the handheld device and the network devices connected with the handheld device. When the handheld device receives a service configuration request from the network device, even if the modification and updating of the preset data are supported, the configuration data are usually completely covered with the preset data, and the real preference characteristics and personalized customization requirements of users are not considered, because some users hope to perform personalized service configuration on the handheld device according to the behavior preference habits of the users.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. For this purpose,
the first objective of the present invention is to provide an intelligent terminal service configuration method, which not only can perform personalized customized service configuration according to the user preference requirement to the maximum extent under the condition that the received configuration data does not conform to the actual preference data of the user, but also can perform real-time query, addition, deletion, modification and update operations on the user preference data and the service configuration, thereby improving the flexibility and stability of the service configuration.
The second objective of the present invention is to provide an intelligent terminal service configuration system, which not only can perform personalized customized service configuration according to the user preference requirement to the maximum extent under the condition that the received configuration data does not conform to the actual preference data of the user, but also can perform real-time query, addition, deletion, modification and update operations on the user preference data and the service configuration, thereby improving the flexibility and stability of the service configuration.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a method for configuring a service of an intelligent terminal, where the method includes: receiving configuration data, the configuration data associated with a quality rule; receiving preference data, the preference data associated with a preference rule; determining the traffic profile based at least in part on a comparison of the quality rules and the preference rules.
Preferably, the configuration data comprises at least one of: mobile access data, cellular charging data, operator selection data, traffic threshold control data, dial plan data, emergency number data, blacklist number data, voice protocol selection data, call waiting service data, call hold service data, polyphonic ringtone service data, call transfer service data, abbreviated dialing service data and multiparty audio mixing service data.
Preferably, the quality rules associated with the configuration data are retrieved based on the inherent semantic logic or substantive meaning of the configuration data.
Preferably, the configuration data is flexibly reconstructed according to a custom rule to reduce the difficulty of obtaining the quality rule.
Preferably, the preference data is derived from a pre-configuration or a third party device.
Preferably, the preference data supports at least one of the following operations: adding, deleting, modifying and inquiring to adapt to the flexible customization of personalized requirements.
Preferably, the preference data performs the operation through an interactive interface.
Preferably, the interactive interface includes at least one of a touch screen, a touch display screen, a liquid crystal input screen, an input panel, an input keyboard, a mouse, a microphone, a joystick, a roller ball, and a stylus pen.
Preferably, the preference rules associated with the preference data are retrieved based on the inherent semantic logic or the substantive meaning of the preference data.
Preferably, the comparison result is: a first comparison result, wherein the quality rule comprises all the preference rules; or, a second comparison result, wherein the second comparison result is that the quality rule includes a part of the preference rule; or, a third comparison result, the third comparison result being that the quality rule does not include the preference rule.
Preferably, said determining said traffic profile based at least in part on a comparison of said quality rules and said preference rules comprises: based on the first comparison result, overwriting or replacing the preference data with the configuration data and using the overwritten or replaced preference data as the service configuration; or, based on the second comparison result, using the preference data as the service configuration, or updating the preference data with intersection data of the quality rule and the preference rule and using the updated preference data as the service configuration; or, based on the third comparison result, the preference data is used as the service configuration.
Preferably, the format of the intersection data is the same as that of the preference data, so that the intersection data updates the preference data.
Preferably, the method further comprises: and storing the service configuration as a basis for a subsequent service process after determining the service configuration based at least in part on the comparison result of the quality rule and the preference rule.
Preferably, the method further comprises: sending the traffic profile to at least one node in a blockchain after determining the traffic profile based at least in part on the comparison of the quality rule and the preference rule.
In order to achieve the above object, an embodiment of a second aspect of the present invention provides an intelligent terminal service configuration system, including: a configuration data receiving module for receiving configuration data, the configuration data being associated with a quality rule; a preference data receiving module for receiving preference data, the preference data being associated with preference rules; a service configuration module to determine the service configuration based at least in part on a comparison of the quality rules and the preference rules.
Preferably, the configuration data comprises at least one of: mobile access data, cellular charging data, operator selection data, traffic threshold control data, dial plan data, emergency number data, blacklist number data, voice protocol selection data, call waiting service data, call hold service data, polyphonic ringtone service data, call transfer service data, abbreviated dialing service data and multiparty audio mixing service data.
Preferably, the intelligent terminal service configuration system further includes: a quality rule obtaining module for obtaining a quality rule associated with the configuration data based on an intrinsic semantic logic or a substantial meaning of the configuration data.
Preferably, the quality rule obtaining module flexibly reconstructs the configuration data according to a custom rule to reduce difficulty in obtaining the quality rule.
Preferably, the preference data received by the preference data receiving module originates from a pre-configuration or a third party device.
Preferably, the preference data receiving module supports at least one of the following operations on the received preference data: adding, deleting, modifying and inquiring to adapt to the flexible customization of personalized requirements.
Preferably, the preference data receiving module completes the operation through an interactive interface.
Preferably, the interactive interface includes at least one of a touch screen, a touch display screen, a liquid crystal input screen, an input panel, an input keyboard, a mouse, a microphone, a joystick, a roller ball, and a stylus pen.
Preferably, the intelligent terminal service configuration system further includes: a preference rule obtaining module for obtaining a preference rule associated with the preference data based on an intrinsic semantic logic or a substantial meaning of the preference data.
Preferably, the comparison result is: a first comparison result, wherein the quality rule comprises all the preference rules; or, a second comparison result, wherein the second comparison result is that the quality rule includes a part of the preference rule; or, a third comparison result, the third comparison result being that the quality rule does not include the preference rule.
Preferably, said determining said traffic profile based at least in part on a comparison of said quality rules and said preference rules comprises: based on the first comparison result, overwriting or replacing the preference data with the configuration data and using the overwritten or replaced preference data as the service configuration; or, based on the second comparison result, using the preference data as the service configuration, or updating the preference data with intersection data of the quality rule and the preference rule and using the updated preference data as the service configuration; or, based on the third comparison result, the preference data is used as the service configuration.
Preferably, the format of the intersection data is the same as that of the preference data, so that the intersection data updates the preference data.
Preferably, the intelligent terminal service configuration system further includes: and the storage module is used for storing the service configuration as the basis of the subsequent service process after the service configuration is determined at least partially based on the comparison result of the quality rule and the preference rule.
Preferably, the intelligent terminal service configuration system further includes: further comprising: a service configuration push module for sending the service configuration to at least one node in the blockchain after determining the service configuration based at least in part on the comparison of the quality rule and the preference rule.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a flowchart of a service configuration method according to a first embodiment of the present invention;
FIG. 2A is a logic diagram illustrating a first comparison result according to an embodiment of the present invention;
FIG. 2B is a logic diagram illustrating a scenario of a second comparison result according to an embodiment of the invention;
FIG. 2C is a logic diagram illustrating another scenario of a second comparison result according to an embodiment of the invention;
FIG. 2D is a logic diagram illustrating a third comparison result according to an embodiment of the invention;
fig. 3 is a flowchart of a service configuration method according to a second embodiment of the present invention;
fig. 4 is a flowchart of a service configuration method according to a third embodiment of the present invention;
fig. 5 is a flowchart of a service configuration method according to a fourth embodiment of the present invention;
fig. 6 is a schematic block diagram of a service configuration system according to a fifth embodiment of the present invention.
Fig. 7 is a block diagram of a service configuration system according to a sixth embodiment of the present invention.
Fig. 8 is a block diagram of a service configuration system according to a seventh embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The service configuration method and system according to the embodiments of the present invention are described below with reference to the accompanying drawings.
Referring to fig. 1, a service configuration method provided in an embodiment of the present invention includes the following steps:
s1, receiving configuration data, the configuration data being associated with a quality rule;
the configuration data and the quality rule of the present embodiment are associated with each other, and it can be understood that when a piece of configuration data is received, the piece of configuration data must have an association with the quality rule. The quality rules are derived from the configuration data, and are abstract and episodic of the meaning of the configuration data. It will be appreciated that the received configuration data must have quality rules corresponding to it. The quality rules are an explanation and description of the intended goals of the configuration data, as well as a generalization and unification of the substance implications of the configuration data.
Further, a quality rule associated with the configuration data is retrieved based on an intrinsic semantic logic or a substantive meaning of the configuration data. The configuration data may have multiple presentation formats, but its substantive meaning or inherent phonetic logic is the same, in which case the quality rules associated with the configuration data should be unique. For example, the first configuration data is "call waitingflag = true", the second configuration data is "call waitingenable = true", and the third configuration data is "call waitingenable/ok", although the three configuration data have different presentation formats, the actual meaning of the three configuration data is that the call waiting service is to be turned on, and therefore, the quality rule associated with any one of the three configuration data may be summarized as "turn on call waiting service".
Further, it is not obvious to obtain the quality rules associated with the configuration data based on the configuration data, and it is necessary to perform data analysis based on understanding the configuration data, and summarize or add the analysis results to obtain the quality rules associated with the configuration data. For example, the received configuration data is "DialPlan = x. #", then the quality rule associated therewith is: "quality rule one: receiving only the number; and B, quality rule II: when the number is input, the dial-up # is called out immediately, and the relation between the quality rule I and the quality rule II is logical AND, namely the quality rule I and the quality rule II must be satisfied simultaneously.
The configuration data is a basis and basis for performing a service configuration, which is determined based at least in part on the received configuration data. It can be understood that, in the process of determining the service configuration, the received configuration data is one of the important configuration bases. Thus, receiving configuration data is a necessary flow of service configuration, and the service configuration is determined based at least in part on the received configuration data.
Further, the configuration data includes at least one of: mobile access data, cellular charging data, operator selection data, traffic threshold control data, dial plan data, emergency number data, blacklist number data, voice protocol selection data, call waiting service data, call hold service data, polyphonic ringtone service data, call transfer service data, abbreviated dialing service data and multiparty audio mixing service data. The data may relate to at least one of a wireless handheld communication device, a voice call device, a block-node device, an application server, and a database server.
S2, receiving preference data, wherein the preference data is associated with a preference rule;
the preference data is derived from a pre-configuration, which is pre-configured by the manufacturer or equipment provider before shipment or sale; the user can also perform self-defined pre-configuration according to the characteristics of own behavior, habits, preferences and the like. On the premise that the favorite data supports multiple configurations, the user-defined pre-configuration solves the technical problems that the user cannot perform personalized customized configuration on the service and the service configuration flexibility is poor.
The configuration of preference data requires professional configuration knowledge and skills, and not all users can easily complete the configuration, and therefore, further, the preference data originates from third party devices. These third party devices utilize large data resources to statistically summarize the preferences of a large number of users. Therefore, the favorite data from the third-party equipment represents the overall favorite features of the sample data, and the technical problem that the user cannot smoothly complete favorite data configuration without knowing professional knowledge of favorite data configuration is solved, so that the difficulty of directly configuring the favorite data by the user is reduced, and the feasibility and flexibility of personalized configuration of the user are enhanced.
Further, preference rules associated with the preference data are retrieved based on the inherent semantic logic or the substantive meaning of the preference data. The preference rules are obtained for comparison with the quality rules, and therefore the preference rules should be obtained based on the received preference data.
S3, determining the service configuration based at least in part on the comparison of the quality rule and the preference rule.
The essence of comparing the quality rule with the preference rule is comparison between the rules, and the rules are abstraction and generalization of commonality, so that the comparison of the rules has the advantages of shielding composition differences between different data compared with data comparison, thereby enabling the comparison process to be easily realized and obviously improving the efficiency of comparison implementation. It is understood that there is a difference in the configuration/presentation format between the configuration data and the preference data, and the direct comparison between the configuration data and the preference data is not only lack of a basis for comparison but also extremely inefficient in comparison, even if it is comparable. Therefore, the comparison of the data is converted into the comparison between the rules of acquiring the commonalities from the data, so that the comparability is realized, and the efficiency of comparison implementation is obviously improved.
The comparison of the quality rules and the preference rules comprises: a first comparison result, wherein the quality rule comprises all the preference rules; or, a second comparison result, wherein the second comparison result is that the quality rule includes a part of the preference rule; or, a third comparison result, the third comparison result being that the quality rule does not include the preference rule.
Referring to fig. 2A, the first comparison result is that the quality rule includes all the preference rules, which means that the coverage of the quality rule is larger than that of the preference rule, and all the preference rules fall into the coverage of the quality rule.
Referring to fig. 2B and fig. 2C, the second comparison result is that the quality rule includes a part of the preference rule, which means that a part of the quality rule overlaps with a coverage of a part of the preference rule, or the whole of the quality rule overlaps with a coverage of a part of the preference rule.
Referring to fig. 2D, the third comparison result is that the quality rule does not include the preference rule, which means that the coverage of the quality rule and the preference rule do not intersect.
For example, the configuration data is "DialPlan = x. #", and the quality rule is "receive only numeric numbers and all numbers plus dial # call out". The preference data is "DialPlan =13xxxxxxx # |15xxxxxxxxx # |17[7-9] xxxxxxxxxx #", and the preference rule is "receive only numeric numbers and partial numbers plus dial # outgoing call". Therefore, the comparison result between the quality rule and the preference rule is "the quality rule includes all preference rules" (see fig. 2A), i.e. the first comparison result, and the service profile is determined based on the first comparison result.
As another example, the configuration data is "DialPlan = x. #", and the quality rule is "receive only numeric numbers and all numbers plus dial # call out". The preference data is "DialPlan =110|120|119|13xxxxxxxxx # |17[7-9] xxxxxxxx #", and the preference rule is "receive number only and partial number plus dial # outgoing call and partial number directly outgoing call". Thus, the comparison of the quality rule and the preference rule results in "the quality rule comprises part of said preference rule" (see fig. 2B), i.e. a scenario of said second comparison result, and the service profile is determined based on said second comparison result.
As another example, the configuration data is "DialPlan = x. #", and the quality rule is "receive only numeric numbers and all numbers plus dial # call out". The preference data is "DialPlan =110|120|119| x. #", and the preference rule is "receive only numeric numbers and dial part numbers plus # outgoing call and part numbers directly outgoing call". Therefore, the comparison result between the quality rule and the preference rule is "the quality rule includes part of the preference rule" (see fig. 2C), which is another scenario of the second comparison result, and the service profile is determined based on the second comparison result.
As another example, the configuration data is "DialPlan = x. #", and the quality rule is "receive only numeric numbers and all numbers plus dial # call out". The preference data is "DialPlan =110|120|119|13xxxxxxxxx |15 xxxxxxx", and the preference rule is "receive only numeric numbers and all numbers are directly called". Therefore, the comparison result between the quality rule and the preference rule is "the quality rule does not include the preference rule" (see fig. 2D), i.e. the third comparison result, and the service profile is determined based on the third comparison result.
Further, the determining the traffic profile based at least in part on the comparison of the quality rules and the preference rules comprises: based on the first comparison result, overwriting or replacing the preference data with the configuration data and using the overwritten or replaced preference data as the service configuration; or, based on the second comparison result, using the preference data as the service configuration, or updating the preference data with intersection data of the quality rule and the preference rule and using the updated preference data as the service configuration; or, based on the third comparison result, the preference data is used as the service configuration.
Please refer to fig. 3, which is a flowchart illustrating a service configuration method according to a second embodiment of the present invention.
Based on the service configuration method provided by the first embodiment of the present invention, step S1 of the method further includes:
s11, flexibly reconstructing the configuration data according to a custom rule to reduce the difficulty of acquiring the quality rule.
In many cases, the received configuration data format does not have a uniform format standard, and the configuration data format is usually controlled by the sending end device. In order to reduce the complexity of the configuration data format and the difficulty of obtaining the quality rules and improve the time efficiency of obtaining the quality rules, the received configuration data is reconstructed according to a specific custom format or standard, so that the technical problems are well solved. For example, the first configuration data received from the network is "CWFlag = true", the second configuration data is "CW/ok", the third configuration data is "CallWaitingEnable = true", the fourth configuration data is "CallWaitingEnable: true ". The four kinds of configuration data are respectively configuration data sent by different devices and received at different times.
The presentation formats are not uniform, which increases the complexity for quality rule acquisition. Therefore, if the format of the received configuration data is different from the format of the custom agreement, the format of the received configuration data should be converted into the format of the custom agreement. For example, the custom provisioning configuration data format is "business name" + ": "+" service configuration value ", then the first configuration data through the fourth configuration data should be converted into" CallWaitingFlag: true "indicates.
Please refer to fig. 4, which is a flowchart illustrating a service configuration method according to a third embodiment of the present invention.
Based on the service configuration method provided in the first embodiment or the second embodiment of the present invention, step S2 of the method further includes:
s21, the preference data supports at least one of the following operations: adding, deleting, modifying and inquiring to adapt to the flexible customization of personalized requirements.
In order to enable the favorite data to have an interaction function with a user and enhance man-machine interaction, the favorite data is subjected to data interaction with the user in a more visual, obvious and clear mode, flexible customization suitable for personalized requirements is achieved, and the beneficial technical effect of user experience is improved. It can be understood that the favorite data supports repeated operations of adding, deleting, modifying, inquiring and updating by the user, so that the favorite data can embody the data customization characteristics preferred by the user to the maximum extent.
Further, the preference data completes the operation through an interactive interface.
Further, the interactive interface includes at least one of a touch screen, a touch display screen, a liquid crystal input screen, an input panel, an input keyboard, a mouse, a microphone, a joystick, a roller ball, and a stylus. For example, the user can override/replace the preference data with the touch screen to make the preference data more suitable for his/her own preference.
Please refer to fig. 5, which is a flowchart illustrating a service configuration method according to a fourth embodiment of the present invention.
Based on the service configuration method provided in the first embodiment, the second embodiment, or the third embodiment of the present invention, the method further includes:
s4, after determining the service configuration based at least in part on the comparison result of the quality rule and the preference rule, storing the service configuration as the basis of the subsequent service process. And storing the service configuration in local or cloud equipment as a basis for carrying out each service process. The service profile, similar to the preference data, supports a plurality of operations, at least one of adding, deleting, modifying, querying, and updating.
Further, the traffic profile is sent to at least one node in the blockchain after determining the traffic profile based at least in part on the comparison of the quality rule and the preference rule. The "decentralized" of blockchain networks enables individual nodes of blockchains to trust each other under a supervised constraint mechanism. In order to improve the service configuration efficiency of each node of the block chain, the service configuration is pushed to other nodes from a certain node. This process may be understood as a process in which one node of a block chain broadcasts data to the remaining nodes.
Referring to fig. 6, a block diagram of a service configuration system according to a fifth embodiment of the present invention is shown, where the service configuration system includes: a configuration data receiving module 610, a preference data receiving module 620 and a service configuration module 630.
Wherein, the configuration data receiving module 610 is configured to receive configuration data, and the configuration data is associated with a quality rule; a preference data receiving module 620 for receiving preference data, the preference data being associated with preference rules; a service configuration module 630 configured to determine the service configuration based at least in part on the comparison of the quality rules and the preference rules.
Further, the configuration data includes at least one of: mobile access data, cellular charging data, operator selection data, traffic threshold control data, dial plan data, emergency number data, blacklist number data, voice protocol selection data, call waiting service data, call hold service data, polyphonic ringtone service data, call transfer service data, abbreviated dialing service data and multiparty audio mixing service data.
Further, the service configuration system further includes: a quality rule obtaining module 611, configured to obtain a quality rule associated with the configuration data based on the intrinsic semantic logic or the substantive meaning of the configuration data.
Further, the quality rule obtaining module 611 flexibly reconstructs the configuration data according to a user-defined rule to reduce the difficulty of obtaining the quality rule.
Further, the preference data received by the preference data receiving module 620 originates from a pre-configured or third-party device.
Further, the preference data receiving module 620 supports at least one of the following operations for the received preference data: adding, deleting, modifying, inquiring and updating to adapt to the flexible customization of personalized requirements.
Further, the preference data receiving module 620 completes the operation through an interactive interface.
Further, the interactive interface includes at least one of a touch screen, a touch display screen, a liquid crystal input screen, an input panel, an input keyboard, a mouse, a microphone, a joystick, a roller ball, and a stylus.
Further, the service configuration system further includes: a preference rule obtaining module 621, configured to obtain a preference rule associated with the preference data based on the intrinsic semantic logic or the substantial meaning of the preference data.
Further, the comparison result is: a first comparison result, wherein the quality rule comprises all the preference rules; or, a second comparison result, wherein the second comparison result is that the quality rule includes a part of the preference rule; or, a third comparison result, the third comparison result being that the quality rule does not include the preference rule.
Further, the determining the traffic profile based at least in part on the comparison of the quality rules and the preference rules comprises: based on the first comparison result, overwriting or replacing the preference data with the configuration data and using the overwritten or replaced preference data as the service configuration; or, based on the second comparison result, using the preference data as the service configuration, or updating the preference data with intersection data of the quality rule and the preference rule and using the updated preference data as the service configuration; or, based on the third comparison result, the preference data is used as the service configuration.
Further, the format of the intersection data is the same as that of the preference data, so that the intersection data updates the preference data.
Referring to fig. 7, a block diagram of a service configuration system according to a sixth embodiment of the present invention is shown, where based on the service configuration system provided in the fifth embodiment of the present invention, the system further includes:
a storage module 640, configured to store the service configuration as a basis for a subsequent service process after determining the service configuration based at least in part on the comparison result of the quality rule and the preference rule. And storing the service configuration in local or cloud equipment as a basis for carrying out each service process. The service profile, similar to the preference data, supports a plurality of operations, at least one of adding, deleting, modifying, querying, and updating.
Referring to fig. 8, a block diagram of a service configuration system according to a seventh embodiment of the present invention is shown, and based on the service configuration system provided in the fifth embodiment or the sixth embodiment of the present invention, the system further includes:
a service configuration push module 650 configured to send the service configuration to at least one node in the blockchain after determining the service configuration based at least in part on the comparison of the quality rule and the preference rule. The "decentralized" of blockchain networks enables individual nodes of blockchains to trust each other under a supervised constraint mechanism. In order to improve the service configuration efficiency of each node of the block chain, the service configuration is pushed to other nodes from a certain node. This process may be understood as a process in which one node of a block chain broadcasts data to the remaining nodes.
The service configuration system provided by the embodiment of the invention can execute the service configuration method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solution of the present invention, and not for limiting the same; the preferred embodiments are given by way of example and not limitation, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (13)

1. An intelligent terminal service configuration system, comprising:
a configuration data receiving module for receiving configuration data, the configuration data being associated with a quality rule;
a preference data receiving module for receiving preference data, the preference data being associated with preference rules;
a service configuration module to determine the service configuration based at least in part on a comparison of the quality rules and the preference rules;
a quality rule obtaining module for obtaining a quality rule associated with the configuration data based on an intrinsic semantic logic or a substantial meaning of the configuration data;
a preference rule obtaining module for obtaining a preference rule associated with the preference data based on an intrinsic semantic logic or a substantial meaning of the preference data;
the comparison result is:
a first comparison result, wherein the quality rules comprise all the favorite rules, the favorite data is covered or replaced by the configuration data, and the covered or replaced favorite data is used as the service configuration; alternatively, the first and second electrodes may be,
a second comparison result, wherein the preference data is used as the service configuration for the quality rule including part of the preference rule, or the preference data is updated with the intersection data of the quality rule and the preference rule and the updated preference data is used as the service configuration; alternatively, the first and second electrodes may be,
and a third comparison result, wherein the preference data is used as service configuration for the quality rule not containing the preference rule.
2. The system of claim 1, wherein the quality rule acquisition module flexibly reconstructs the configuration data according to custom rules to reduce difficulty in acquiring the quality rules.
3. The system of claim 1, wherein the preference data received by the preference data receiving module originates from a pre-configuration or a third party device.
4. The system of claim 1, wherein the format of the intersection data is the same as the format of the preference data, such that the intersection data updates the preference data.
5. The system of claim 1, further comprising:
a service configuration push module for sending the service configuration to at least one node in the blockchain after determining the service configuration based at least in part on the comparison of the quality rule and the preference rule.
6. The system of claim 1, further comprising:
and the storage module is used for storing the service configuration as the basis of the subsequent service process after the service configuration is determined at least partially based on the comparison result of the quality rule and the preference rule.
7. An intelligent terminal service configuration method is characterized in that the method comprises the following steps:
receiving configuration data, the configuration data associated with a quality rule;
obtaining quality rules associated with the configuration data based on an intrinsic semantic logic or a substantive meaning of the configuration data;
receiving preference data, the preference data associated with a preference rule;
obtaining preference rules associated with the preference data based on the inherent semantic logic or the substantive meaning of the preference data;
determining the business configuration based at least in part on a comparison of the quality rules and the preference rules;
the comparison result is:
a first comparison result, wherein the quality rules comprise all the favorite rules, the favorite data is covered or replaced by the configuration data, and the covered or replaced favorite data is used as the service configuration; alternatively, the first and second electrodes may be,
a second comparison result, wherein the preference data is used as the service configuration for the quality rule including part of the preference rule, or the preference data is updated with the intersection data of the quality rule and the preference rule and the updated preference data is used as the service configuration; alternatively, the first and second electrodes may be,
and a third comparison result, wherein the preference data is used as service configuration for the quality rule not containing the preference rule.
8. The method of claim 7, wherein the configuration data includes at least one of: mobile access data, cellular charging data, operator selection data, traffic threshold control data, dial plan data, emergency number data, blacklist number data, voice protocol selection data, call waiting service data, call hold service data, polyphonic ringtone service data, call transfer service data, abbreviated dialing service data and multiparty audio mixing service data.
9. The method of claim 7, wherein the configuration data is flexibly reconstructed according to custom rules to reduce difficulty of obtaining the quality rules.
10. The method of claim 7, wherein the preference data originates from a pre-configuration or a third party device.
11. The method of claim 7, wherein the format of the intersection data is the same as the format of the preference data, such that the intersection data updates the preference data.
12. The method of claim 7, further comprising:
and storing the service configuration as a basis for a subsequent service process after determining the service configuration based at least in part on the comparison result of the quality rule and the preference rule.
13. The method of claim 7, further comprising:
sending the traffic profile to at least one node in a blockchain after determining the traffic profile based at least in part on the comparison of the quality rule and the preference rule.
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