CN114143193B - Network configuration method, device, computer equipment and storage medium - Google Patents
Network configuration method, device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN114143193B CN114143193B CN202111482733.XA CN202111482733A CN114143193B CN 114143193 B CN114143193 B CN 114143193B CN 202111482733 A CN202111482733 A CN 202111482733A CN 114143193 B CN114143193 B CN 114143193B
- Authority
- CN
- China
- Prior art keywords
- intention
- target
- aggregation
- period
- target service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000002776 aggregation Effects 0.000 claims abstract description 95
- 238000004220 aggregation Methods 0.000 claims abstract description 95
- 238000004590 computer program Methods 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 14
- 238000010586 diagram Methods 0.000 description 7
- 238000012795 verification Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000010295 mobile communication Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004424 eye movement Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The embodiment of the application discloses a network configuration method, a network configuration device, computer equipment and a storage medium. The method comprises the following steps: acquiring an intention signal of a target user in a first period through a BCI interface; performing intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy; when the first intention aggregation energy is larger than a preset energy threshold, determining a first target business intention according to the first intention aggregation energy; and carrying out network configuration according to the first target service intention. According to the scheme, intention signals in a period of time are subjected to intention aggregation, service intention is generated according to the intention aggregation energy when the intention aggregation energy in the period of time is larger than a preset energy threshold, and network configuration is performed according to the generated service intention, so that inaccurate network configuration caused by impulse type intention signals can be avoided.
Description
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to a network configuration method, a device, a computer device, and a storage medium.
Background
In the current experience test of the fifth generation mobile communication technology (5th Generation Mobile Communication Technology,5G) of the user, in order to eliminate the influence of language description and action understanding on test deviation, on the basis of analyzing the behavior and action of a person by adopting external equipment such as eye movement analysis, action analysis and the like, the method starts to combine with a BCI interface to perform more direct and objective judgment.
As a specific implementation scheme of the network (Intentbased networking, IBN) based on intention, the brain-computer interface technology (Brain Computer Interface, BCI) interface is used for directly transmitting the business intention of the human brain to the network management platform, so that the network management platform has the advantages of being direct and accurate, and starts to be applied to the 5G network and the next-generation internet of things.
When a user performs network configuration by adopting a BCI operation, since an intention signal obtained by a BCI interface has volatility, a temporary intention signal obtained by the BCI interface often cannot reflect the actual idea of the user, and the network configuration is performed according to a service intention converted from the surge-type intention signal, so that the situation of inaccurate network configuration may occur.
Disclosure of Invention
The embodiment of the application provides a network configuration method, a network configuration device, computer equipment and a storage medium, which are used for improving the accuracy of network configuration.
In a first aspect, an embodiment of the present application provides a network configuration method, including:
acquiring an intention signal of a target user in a first period through a BCI interface;
performing intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy;
when the first intention aggregation energy is larger than a preset energy threshold, determining a first target business intention according to the first intention aggregation energy;
and carrying out network configuration according to the first target service intention.
In a second aspect, embodiments of the present application further provide a network configuration apparatus, including:
an acquisition unit for acquiring an intention signal of a target user in a first period through a BCI interface;
the aggregation unit is used for carrying out intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy;
the determining unit is used for determining a first target business intention according to the first intention aggregation energy when the first intention aggregation energy is larger than a preset energy threshold;
and the configuration unit is used for carrying out network configuration according to the first target service intention.
In a third aspect, embodiments of the present application further provide a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the method when executing the computer program.
In a fourth aspect, embodiments of the present application also provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, implement the above-described method.
The embodiment of the application provides a network configuration method, a network configuration device, computer equipment and a storage medium. Wherein the method comprises the following steps: acquiring an intention signal of a target user in a first period through a BCI interface; performing intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy; when the first intention aggregation energy is larger than a preset energy threshold, determining a first target business intention according to the first intention aggregation energy; and carrying out network configuration according to the first target service intention. According to the scheme, intention signals in a period of time are subjected to intention aggregation, service intention is generated according to the intention aggregation energy when the intention aggregation energy in the period of time is larger than a preset energy threshold, and network configuration is performed according to the generated service intention, so that inaccurate network configuration caused by impulse type intention signals can be avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an application scenario schematic diagram of a network configuration method provided in an embodiment of the present application;
fig. 2 is a flow chart of a network configuration method according to an embodiment of the present application;
fig. 3 is a schematic sub-flowchart of a network configuration method according to an embodiment of the present application;
FIG. 4 is a schematic block diagram of a network configuration device provided in an embodiment of the present application;
fig. 5 is a schematic block diagram of a computer device provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
The embodiment of the application provides a network configuration method, a network configuration device, computer equipment and a storage medium.
The execution main body of the network configuration method may be a network configuration device provided by the embodiment of the present application, or a computer device integrated with the network configuration device, where the network configuration device may be implemented in a hardware or software manner, and the computer device may be a terminal or a server, and the terminal may be a smart phone, a tablet computer, a palm computer, a notebook computer, or the like.
Referring to fig. 1, fig. 1 is a schematic diagram of an application scenario of a network configuration method according to an embodiment of the present application. The scene is a configuration scene of a 5G network, the method is applied to network configuration equipment, the network equipment comprises a BCI interface, an IBN platform and a software defined network (Software Defined Network, SDN) configuration module, wherein the IBN platform comprises a jitter control module, a signal-to-noise ratio enhancement module, a front verification module and an intention aggregation module, in the scene, a user is in a 5G experience scene, each user corresponds to one BCI interface, the IBN platform acquires an intention signal of the user through the BCI interface, jitter control and signal-to-noise ratio enhancement processing are carried out on the acquired intention signal through the jitter control module and the signal-to-noise ratio enhancement module, biological identity information in the intention signal is extracted through the front verification module, whether the biological identity information corresponds to user information corresponding to the BCI interface or not is judged, if so, intention aggregation is carried out on the intention signal in a preset period through the intention aggregation module, and target service intention aggregation energy is obtained, when the intention aggregation energy is larger than a preset energy threshold, the target service is determined according to the intention aggregation energy, and the target service is issued to the SDN configuration module, and the network configuration module is carried out through the SDN configuration module.
Fig. 2 is a flow chart of a network configuration method according to an embodiment of the present application. As shown in fig. 2, the method includes the following steps S110-140.
S110, acquiring an intention signal of a target user in a first period through a BCI interface.
In this embodiment, specifically, an intention signal of a target user is obtained through a BCI interface connected to the target user, and then the obtained intention signal is stored in a buffer, and the intention signal obtained in a first period is obtained from the buffer, where the first period is a time interval of a preset duration of time before the current time, and the preset duration may be 1 minute, or other time durations, and the specific embodiment is not limited herein.
S120, intention aggregation is carried out on the intention signals in the first period of time, and first intention aggregation energy is obtained.
Referring to fig. 3, in some embodiments, specifically, before step S120, the method further includes:
s121, extracting first biological identity information in the intention signal in the first period.
The intention signal acquired through the BCI interface carries biological identity information, and the biological identity information can reflect the user identity of the user corresponding to the BCI interface.
S122, judging whether the first biological identity information corresponds to preset user information corresponding to the BCI interface.
In this embodiment, user information of a plurality of BCI interface users is preset in the IBN platform, after biological identity information in an intention signal of a certain BCI interface is extracted, user information preset corresponding to the BCI interface is extracted, then whether the user information corresponds to the acquired biological identity information is judged, if so, it is indicated that the user using the BCI interface is the same as the preset user, and if not, it is indicated that the user using the BCI interface is different from the preset user.
And S123, if the first biological identity information corresponds to the preset user information, executing the step of carrying out intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy.
The intention aggregation can be performed on the intention signals in the first period according to the preset aggregation frequency, specifically, the useful signals can be identified according to the physiological characteristics in the intention signals in the first period, and the intention of the user is aggregated according to the physiological frequency.
In this embodiment, after the first biometric identity information is determined to correspond to the preset user information, intent aggregation is performed on the intent signal, and when the first biometric identity information does not correspond to the preset user information, alarm information needs to be sent out to remind the user that authentication is not passed, and the user request is rejected.
In this embodiment, different BCI interfaces correspond to different users, before using the device to perform network configuration, it is first required to verify whether the user is a subscriber of the BCI interface, if yes, the user is allowed to use the interface to perform network configuration, and if not, the request of the user is refused, so that the BCI interface in this scheme is specially customized for individuals, and the interface can be prevented from being stolen.
S130, when the first intention aggregation energy is larger than a preset energy threshold, determining a first target business intention according to the first intention aggregation energy.
In this embodiment, when the first intention aggregation energy is greater than the preset energy threshold, it is explained that the energy of the first intention aggregation energy is relatively strong and excludes an intention of impulse, so that the first target service intention can be determined according to the first intention aggregation energy at this time.
And S140, carrying out network configuration according to the first target service intention.
In some embodiments, the S140 includes: judging whether the user characteristics corresponding to the target user correspond to the first target service intention or not according to the corresponding relation between the preset user characteristics and the service intention; and if the user characteristics corresponding to the target users correspond to the first target service intention, carrying out network configuration according to the first target service intention.
For example, if the age of the target user is 20 years according to the user characteristic corresponding to the target user, the first target service intention is playing, and the user characteristic of 20 years old corresponds to the service intention of playing according to the corresponding relation between the preset user characteristic and the service intention, then the user characteristic of the target user is determined to correspond to the first target service intention, and at this time, network configuration is directly performed according to the first target service intention.
However, if it is determined that the age of the target user is 60 years according to the user characteristics corresponding to the target user, the first target service intention is also playing, at this time, the preset correspondence between the user characteristics and the service intention does not exist such a correspondence between 60 years and playing, at this time, it is explained that the determined first target service intention is not corresponding to the characteristics of the target user, the target service is likely to determine that there is an error, at this time, the intention signal should be continuously subjected to intention aggregation, which specifically includes: acquiring an intention signal in a second time period, wherein the second time period is a time period after the first time period; performing intention aggregation on the intention signals in the second period of time to obtain second intention aggregation energy; determining a second target traffic intent based on the second intent aggregate energy when the second intent aggregate energy is greater than the energy threshold; judging whether the first target service intention is the same as the second target service intention; and if the first target service intention is the same as the second target service intention, carrying out network configuration according to the first target service intention.
At this time, since the first target service intention does not correspond to the user characteristics of the target user, it is explained that the first target user intention may be wrong, and the judgment of the service intention of the target user needs to be performed again, at this time, the intention signal of the second time period after the first time period is extracted from the cache, the judgment of the service intention of the target user is performed again according to the intention signal of the second time period, and if the judged second target service intention is the same as the second target service intention, the correctness of the first target user intention is verified according to the second target service intention at this time, and network configuration can be performed according to the first target service intention.
In some embodiments, since the first target service intention and the second target service intention do not correspond to the user characteristics of the target user, one situation that may occur at this time is: the biological identity information of the target user may not correspond to the user information corresponding to the BCI interface, at this time, the user information needs to be verified again, and at this time, if the first target service intention is the same as the second target service intention, network configuration is performed according to the first target service intention, including: if the first target service intention is the same as the second target service intention, extracting second biological identity information in the intention signal in the second period; judging whether the second biological identity information corresponds to preset user information corresponding to the BCI interface; and if the second biological identity information corresponds to the preset user information, carrying out network configuration according to the first target service intention.
If the second biological identity information is judged to be not corresponding to the preset user information, alarm information is sent out to remind the user that the identity verification is not passed, and the user request is refused.
In some embodiments, the configuring the network according to the first target service intention includes: acquiring a network level corresponding to the first target service intention according to the corresponding relation between the service intention corresponding to the target user and the network level; and adjusting the network configuration according to the network grade.
In other words, in this embodiment, the IBN signs a service level protocol with different users in different service scenarios in advance, and issues the service level protocol in multiple modes, and in this embodiment, the network is configured by the SDN, which matches different network priorities according to the service level protocol, and invokes network configuration such as network slices, flows, etc. within the qualification range.
In some embodiments, to obtain a more accurate intention signal, the step of obtaining, through the BCI interface, the intention signal of the target user in the first period includes: acquiring an original intention signal of a target user in a first time period through the BCI interface; and carrying out jitter control processing and signal-to-noise ratio enhancement processing on the original intention signal in the first time period to obtain the intention signal in the first time period.
Based on 5G user experience by the BCI interface, the conversion strategy from the user intention to the service intention is optimized, so that the perception experience and the requirement of the user can be timely and accurately matched with the 5G network configuration meeting the personalized requirement; thereby realizing better 5G network scene feeling. And the real-time experience and personalized adaptation requirements of different users on the 5G network are solved, and the 5G network is automatically configured according to the service intention, not just the configuration of the equipment level.
Before SDN definition network configuration is carried out, the embodiment uses a pre-verification based on biological characteristics and intention aggregation based on physiological frequency to convert service intention aiming at the characteristics of BCI interface signals, so as to form a service-level multi-mode BCI effect. By using the information of biological identity and physiological characteristics, the pre-verification and intention aggregation mode is added on the basis of the BCI interface information before SDN configuration, and the disturbance and stability of network configuration are optimized.
In summary, the embodiments of the present application provide a network configuration method, apparatus, computer device, and storage medium. Wherein the method comprises the following steps: acquiring an intention signal of a target user in a first period through a BCI interface; performing intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy; when the first intention aggregation energy is larger than a preset energy threshold, determining a first target business intention according to the first intention aggregation energy; and carrying out network configuration according to the first target service intention. According to the scheme, intention signals in a period of time are subjected to intention aggregation, service intention is generated according to the intention aggregation energy when the intention aggregation energy in the period of time is larger than a preset energy threshold, and network configuration is performed according to the generated service intention, so that inaccurate network configuration caused by impulse type intention signals can be avoided.
Fig. 4 is a schematic block diagram of a network configuration device provided in an embodiment of the present application. As shown in fig. 4, corresponding to the above network configuration method, the present application further provides a network configuration device. The network configuration device comprises a unit for executing the network configuration method, and the device can be configured in a desktop computer, a tablet computer, a portable computer, and other terminals. Specifically, referring to fig. 4, the network configuration apparatus includes an acquisition unit 401, an aggregation unit 402, a determination unit 403, and a configuration unit 404.
An obtaining unit 401, configured to obtain, through a BCI interface, an intention signal of a target user in a first period;
an aggregation unit 402, configured to perform intent aggregation on the intent signals in the first period to obtain first intent aggregation energy;
a determining unit 403, configured to determine a first target service intention according to the first intention aggregation energy when the first intention aggregation energy is greater than a preset energy threshold;
and the configuration unit 404 is configured to perform network configuration according to the first target service intention.
In some embodiments, the aggregation unit 402 is specifically configured to:
extracting first biological identity information in the intention signal in the first period;
judging whether the first biological identity information corresponds to preset user information corresponding to the BCI interface;
and if the first biological identity information corresponds to the preset user information, executing the intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy.
In some embodiments, the configuration unit 404 is specifically configured to:
judging whether the user characteristics corresponding to the target user correspond to the first target service intention or not according to the corresponding relation between the preset user characteristics and the service intention;
and if the user characteristics corresponding to the target users correspond to the first target service intention, carrying out network configuration according to the first target service intention.
In some embodiments, after performing the step of determining whether the user feature corresponding to the target user corresponds to the first target service intention according to the preset correspondence between the user feature and the service intention, the configuration unit 404 is further configured to:
if the user characteristics corresponding to the target users do not correspond to the first target service intention, acquiring intention signals in a second time period, wherein the second time period is a time period after the first time period;
performing intention aggregation on the intention signals in the second period of time to obtain second intention aggregation energy;
determining a second target traffic intent based on the second intent aggregate energy when the second intent aggregate energy is greater than the energy threshold;
judging whether the first target service intention is the same as the second target service intention;
and if the first target service intention is the same as the second target service intention, carrying out network configuration according to the first target service intention.
In some embodiments, when the configuration unit 404 performs the network configuration step according to the first target service intention if the first target service intention is the same as the second target service intention, the configuration unit is specifically configured to:
if the first target service intention is the same as the second target service intention, extracting second biological identity information in the intention signal in the second period;
judging whether the second biological identity information corresponds to preset user information corresponding to the BCI interface;
and if the second biological identity information corresponds to the preset user information, carrying out network configuration according to the first target service intention.
In some embodiments, the configuration unit 404 is specifically configured to:
acquiring a network level corresponding to the first target service intention according to the corresponding relation between the service intention corresponding to the target user and the network level;
and adjusting the network configuration according to the network grade.
In some embodiments, the obtaining unit 401 is specifically configured to:
acquiring an original intention signal of a target user in a first time period through the BCI interface;
and carrying out jitter control processing and signal-to-noise ratio enhancement processing on the original intention signal in the first time period to obtain the intention signal in the first time period.
It should be noted that, as those skilled in the art can clearly understand the specific implementation process of the network configuration device and each unit, reference may be made to the corresponding description in the foregoing method embodiment, and for convenience and brevity of description, the description is omitted here.
The network configuration means described above may be implemented in the form of a computer program which is executable on a computer device as shown in fig. 5.
Referring to fig. 5, fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 may be a terminal or a server, where the terminal may be an electronic device with a communication function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, and a wearable device. The server may be an independent server or a server cluster formed by a plurality of servers.
With reference to FIG. 5, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform a network configuration method.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of a computer program 5032 in the non-volatile storage medium 503, which computer program 5032, when executed by the processor 502, causes the processor 502 to perform a network configuration method.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device 500 to which the present application is applied, and that a particular computer device 500 may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
Wherein the processor 502 is configured to execute a computer program 5032 stored in a memory to implement the steps of:
acquiring an intention signal of a target user in a first period through a BCI interface;
performing intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy;
when the first intention aggregation energy is larger than a preset energy threshold, determining a first target business intention according to the first intention aggregation energy;
and carrying out network configuration according to the first target service intention.
In some embodiments, before implementing the step of performing intent aggregation on the intent signals in the first period, the processor 502 specifically further implements the following steps:
extracting first biological identity information in the intention signal in the first period;
judging whether the first biological identity information corresponds to preset user information corresponding to the BCI interface;
and if the first biological identity information corresponds to the preset user information, executing the intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy.
In some embodiments, when implementing the network configuration step according to the first target service intention, the processor 502 specifically implements the following steps:
judging whether the user characteristics corresponding to the target user correspond to the first target service intention or not according to the corresponding relation between the preset user characteristics and the service intention;
and if the user characteristics corresponding to the target users correspond to the first target service intention, carrying out network configuration according to the first target service intention.
In some embodiments, after implementing the step of determining whether the user feature corresponding to the target user corresponds to the first target service intention according to the preset correspondence between the user feature and the service intention, the processor 502 further implements the following steps:
if the user characteristics corresponding to the target users do not correspond to the first target service intention, acquiring intention signals in a second time period, wherein the second time period is a time period after the first time period;
performing intention aggregation on the intention signals in the second period of time to obtain second intention aggregation energy;
determining a second target traffic intent based on the second intent aggregate energy when the second intent aggregate energy is greater than the energy threshold;
judging whether the first target service intention is the same as the second target service intention;
and if the first target service intention is the same as the second target service intention, carrying out network configuration according to the first target service intention.
In some embodiments, when implementing the network configuration step according to the first target service intention if the first target service intention is the same as the second target service intention, the processor 502 specifically implements the following steps:
if the first target service intention is the same as the second target service intention, extracting second biological identity information in the intention signal in the second period;
judging whether the second biological identity information corresponds to preset user information corresponding to the BCI interface;
and if the second biological identity information corresponds to the preset user information, carrying out network configuration according to the first target service intention.
In some embodiments, when implementing the network configuration step according to the first target service intention, the processor 502 specifically implements the following steps:
acquiring a network level corresponding to the first target service intention according to the corresponding relation between the service intention corresponding to the target user and the network level;
and adjusting the network configuration according to the network grade.
In some embodiments, when implementing the step of acquiring the intention signal of the target user in the first period through the BCI interface, the processor 502 specifically implements the following steps:
acquiring an original intention signal of a target user in a first time period through the BCI interface;
and carrying out jitter control processing and signal-to-noise ratio enhancement processing on the original intention signal in the first time period to obtain the intention signal in the first time period.
It should be appreciated that in embodiments of the present application, the processor 502 may be a central processing unit (Central Processing Unit, CPU), the processor 502 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf Programmable gate arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present application also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. The program instructions, when executed by the processor, cause the processor to perform the steps of:
acquiring an intention signal of a target user in a first period through a BCI interface;
performing intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy;
when the first intention aggregation energy is larger than a preset energy threshold, determining a first target business intention according to the first intention aggregation energy;
and carrying out network configuration according to the first target service intention.
In some embodiments, before executing the program instructions to implement the step of performing intent aggregation on the intent signals in the first period of time to obtain first intent aggregated energy, the processor specifically further implements the following steps:
extracting first biological identity information in the intention signal in the first period;
judging whether the first biological identity information corresponds to preset user information corresponding to the BCI interface;
and if the first biological identity information corresponds to the preset user information, executing the intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy.
In some embodiments, when the processor executes the program instructions to implement the network configuration step according to the first target service intention, the method specifically includes the following steps:
judging whether the user characteristics corresponding to the target user correspond to the first target service intention or not according to the corresponding relation between the preset user characteristics and the service intention;
and if the user characteristics corresponding to the target users correspond to the first target service intention, carrying out network configuration according to the first target service intention.
In some embodiments, after executing the program instruction to implement the step of determining whether the user feature corresponding to the target user corresponds to the first target service intention according to the preset correspondence between the user feature and the service intention, the processor further implements the following steps:
if the user characteristics corresponding to the target users do not correspond to the first target service intention, acquiring intention signals in a second time period, wherein the second time period is a time period after the first time period;
performing intention aggregation on the intention signals in the second period of time to obtain second intention aggregation energy;
determining a second target traffic intent based on the second intent aggregate energy when the second intent aggregate energy is greater than the energy threshold;
judging whether the first target service intention is the same as the second target service intention;
and if the first target service intention is the same as the second target service intention, carrying out network configuration according to the first target service intention.
In some embodiments, when the processor executes the program instructions to implement the step of configuring the network according to the first target service intention if the first target service intention is the same as the second target service intention, the method specifically includes the steps of:
if the first target service intention is the same as the second target service intention, extracting second biological identity information in the intention signal in the second period;
judging whether the second biological identity information corresponds to preset user information corresponding to the BCI interface;
and if the second biological identity information corresponds to the preset user information, carrying out network configuration according to the first target service intention.
In some embodiments, when the processor executes the program instructions to implement the network configuration step according to the first target service intention, the method specifically includes the following steps:
acquiring a network level corresponding to the first target service intention according to the corresponding relation between the service intention corresponding to the target user and the network level;
and adjusting the network configuration according to the network grade.
In some embodiments, when the processor executes the program instructions to implement the step of obtaining, through the BCI interface, the intention signal of the target user in the first period, the steps are specifically implemented as follows:
acquiring an original intention signal of a target user in a first time period through the BCI interface;
and carrying out jitter control processing and signal-to-noise ratio enhancement processing on the original intention signal in the first time period to obtain the intention signal in the first time period.
The storage medium may be a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the application can be combined, divided and deleted according to actual needs. In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A network configuration method, comprising:
acquiring an intention signal of a target user in a first period through a BCI interface;
performing intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy;
when the first intention aggregation energy is larger than a preset energy threshold, determining a first target business intention according to the first intention aggregation energy;
and carrying out network configuration according to the first target service intention.
2. The method of claim 1, wherein the intention-aggregating the intention signals over the first time period further comprises, prior to deriving a first intention-aggregated energy:
extracting first biological identity information in the intention signal in the first period;
judging whether the first biological identity information corresponds to preset user information corresponding to the BCI interface;
and if the first biological identity information corresponds to the preset user information, executing the intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy.
3. The method of claim 1, wherein the configuring the network according to the first target business intention comprises:
judging whether the user characteristics corresponding to the target user correspond to the first target service intention or not according to the corresponding relation between the preset user characteristics and the service intention;
and if the user characteristics corresponding to the target users correspond to the first target service intention, carrying out network configuration according to the first target service intention.
4. The method according to claim 3, wherein after the determining, according to the preset correspondence between the user characteristics and the service intents, whether the user characteristics corresponding to the target user correspond to the first target service intents, the method further includes:
if the user characteristics corresponding to the target users do not correspond to the first target service intention, acquiring intention signals in a second time period, wherein the second time period is a time period after the first time period;
performing intention aggregation on the intention signals in the second period of time to obtain second intention aggregation energy;
determining a second target traffic intent based on the second intent aggregate energy when the second intent aggregate energy is greater than the energy threshold;
judging whether the first target service intention is the same as the second target service intention;
and if the first target service intention is the same as the second target service intention, carrying out network configuration according to the first target service intention.
5. The method of claim 4, wherein if the first target traffic intention is the same as the second target traffic intention, configuring the network according to the first target traffic intention comprises:
if the first target service intention is the same as the second target service intention, extracting second biological identity information in the intention signal in the second period;
judging whether the second biological identity information corresponds to preset user information corresponding to the BCI interface;
and if the second biological identity information corresponds to the preset user information, carrying out network configuration according to the first target service intention.
6. The method of claim 1, wherein the configuring the network according to the first target business intention comprises:
acquiring a network level corresponding to the first target service intention according to the corresponding relation between the service intention corresponding to the target user and the network level;
and adjusting the network configuration according to the network grade.
7. The method according to any one of claims 1 to 6, wherein the obtaining, through the BCI interface, the intention signal of the target user in the first period of time includes:
acquiring an original intention signal of a target user in a first time period through the BCI interface;
and carrying out jitter control processing and signal-to-noise ratio enhancement processing on the original intention signal in the first time period to obtain the intention signal in the first time period.
8. A network configuration apparatus, comprising:
an acquisition unit for acquiring an intention signal of a target user in a first period through a BCI interface;
the aggregation unit is used for carrying out intention aggregation on the intention signals in the first period of time to obtain first intention aggregation energy;
the determining unit is used for determining a first target business intention according to the first intention aggregation energy when the first intention aggregation energy is larger than a preset energy threshold;
and the configuration unit is used for carrying out network configuration according to the first target service intention.
9. A computer device, characterized in that it comprises a memory on which a computer program is stored and a processor which, when executing the computer program, implements the method according to any of claims 1-7.
10. A computer readable storage medium, characterized in that the storage medium stores a computer program comprising program instructions which, when executed by a processor, can implement the method of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111482733.XA CN114143193B (en) | 2021-12-07 | 2021-12-07 | Network configuration method, device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111482733.XA CN114143193B (en) | 2021-12-07 | 2021-12-07 | Network configuration method, device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114143193A CN114143193A (en) | 2022-03-04 |
| CN114143193B true CN114143193B (en) | 2024-02-20 |
Family
ID=80384766
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111482733.XA Active CN114143193B (en) | 2021-12-07 | 2021-12-07 | Network configuration method, device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114143193B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20150028661A (en) * | 2013-09-06 | 2015-03-16 | 세종대학교산학협력단 | Analysis method of user intention recognition for brain computer interface |
| CN108836327A (en) * | 2018-09-06 | 2018-11-20 | 电子科技大学 | Intelligent outlet terminal and EEG signal identification method based on brain-computer interface |
| CN113055206A (en) * | 2019-12-27 | 2021-06-29 | 中国电信股份有限公司 | Intention-based network service configuration method, device and storage medium |
| WO2021218087A1 (en) * | 2020-04-28 | 2021-11-04 | 平安科技（深圳）有限公司 | Intention recognition method and apparatus based on artificial intelligence, and computer device |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10452143B2 (en) * | 2015-10-20 | 2019-10-22 | San Diego State University Research Foundation | Apparatus and method of implantable bidirectional wireless neural recording and stimulation |
| US11036682B2 (en) * | 2018-05-31 | 2021-06-15 | Oracle International Corporation | Flexible energy information aggregation |
| US10769218B2 (en) * | 2018-06-15 | 2020-09-08 | Hewlett Packard Enterprise Development Lp | Display for network time series data with adaptable zoom intervals |
| EP3800531A1 (en) * | 2019-10-04 | 2021-04-07 | HRH-BRK Societa' a Responsabilita' Limitata Semplificata | Device for human-machine interfacing by means of brain signals and associated interfacing method |
-
2021
- 2021-12-07 CN CN202111482733.XA patent/CN114143193B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20150028661A (en) * | 2013-09-06 | 2015-03-16 | 세종대학교산학협력단 | Analysis method of user intention recognition for brain computer interface |
| CN108836327A (en) * | 2018-09-06 | 2018-11-20 | 电子科技大学 | Intelligent outlet terminal and EEG signal identification method based on brain-computer interface |
| CN113055206A (en) * | 2019-12-27 | 2021-06-29 | 中国电信股份有限公司 | Intention-based network service configuration method, device and storage medium |
| WO2021218087A1 (en) * | 2020-04-28 | 2021-11-04 | 平安科技（深圳）有限公司 | Intention recognition method and apparatus based on artificial intelligence, and computer device |
Non-Patent Citations (2)
| Title |
|---|
| 一种新型的人机交互方式――脑机接口;高楠, 卓晴, 王文渊;计算机工程(18);全文 * |
| 认知训练及脑波检测系统的设计与实现;朱苍璐;余策;卓雪雪;;价值工程(01);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114143193A (en) | 2022-03-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9742710B2 (en) | Mood information processing method and apparatus | |
| CN109961780B (en) | A man-machine interaction method a device(s) Server and storage medium | |
| US10114935B2 (en) | Technologies for login pattern based multi-factor authentication | |
| EP3970039A1 (en) | Identity verification and management system | |
| CN109993150B (en) | Method and device for identifying age | |
| US9160730B2 (en) | Continuous authentication confidence module | |
| JP2018511890A (en) | System and method for real-time user verification in online education | |
| CN107257346B (en) | Single sign-on service access processing method, system end and storage medium | |
| US10972471B2 (en) | Device authentication using synchronized activity signature comparison | |
| WO2015127256A1 (en) | Continuous authentication with a mobile device | |
| US9760767B1 (en) | Rating applications based on emotional states | |
| CN109977905B (en) | Method and apparatus for processing fundus images | |
| EP3038317B1 (en) | User authentication for resource transfer based on mapping of physiological characteristics | |
| WO2014131003A1 (en) | System and method for monitoring biometric data | |
| US9721087B1 (en) | User authentication | |
| KR102124445B1 (en) | Method, device and terminal for entering the login password of the application | |
| US11935524B1 (en) | Authentication of impaired voices | |
| CN108763251B (en) | Personalized recommendation method and device for nuclear product and electronic equipment | |
| US20210192217A1 (en) | Method and apparatus for processing video | |
| CN112084959A (en) | Crowd image processing method and device | |
| CN113194281A (en) | Video analysis method and device, computer equipment and storage medium | |
| CN114143193B (en) | Network configuration method, device, computer equipment and storage medium | |
| WO2014022605A1 (en) | Attestation of possession of media content items using fingerprints | |
| CN109164986B (en) | Cloud disk data processing method and device, electronic equipment and storage medium | |
| CN105138950B (en) | A kind of photographic method and user terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |