WO2024113926A1

WO2024113926A1 - Sensing data processing method, apparatus, electronic device and readable medium

Info

Publication number: WO2024113926A1
Application number: PCT/CN2023/110021
Authority: WO
Inventors: 张钰滢; 刘海; 龙彪
Original assignee: 中国电信股份有限公司
Priority date: 2022-11-28
Filing date: 2023-07-28
Publication date: 2024-06-06
Also published as: CN118102477A

Abstract

Provided in the present disclosure are a sensing data processing method, an apparatus, an electronic device and a readable medium. The sensing data processing method comprises: in response to a request of a sensing service sent by a terminal, carrying out sensing to obtain sensing data; sending the sensing data to a sensing function network element, the sensing function network element requesting from a unified data repository network element a required sensing processing model; the unified data repository network element sending the sensing processing model to the sensing function network element; the sensing function network element processing the sensing data by means of the acquired sensing processing model so as to obtain a sensing result; and the sensing function network element sending the sensing result to an application function network element by means of a network exposure function network element, so as to enable the application function network element to feed back the sensing result to the terminal. By means of the embodiments of the present disclosure, operators can satisfy the sensing service requirement of the third-party application without exposing the obtained specific sensing data, thereby improving the privacy and safety of internal data of operators.

Description

Perception data processing method, device, electronic device and readable medium

This disclosure claims priority to Chinese patent application number 202211534259.5, filed on November 28, 2022, and entitled “Method, device, electronic device and readable medium for processing perceptual data”, the entire contents of which are incorporated herein by reference.

Technical Field

The present disclosure relates to the field of data processing technology, and in particular, to a method, device, electronic device and readable medium for processing perception data.

Background technique

At present, communication perception will be an important supporting capability for realizing future 5G-A intelligent network upgrades and expanding industry applications. The integration of communication and perception is an important evolution direction of 5G-A.

Among the related technologies, communication perception fusion can be applied in scenarios such as traffic command, smart cities, smart homes, and smart low-altitude, such as high-precision dynamic maps, intrusion monitoring, drone supervision and obstacle avoidance, weather monitoring, and other application scenarios.

However, third-party applications often have many different result requirements. Operators do not want to open perception data for reasons such as user data security and the large amount of perception data, which may lead to the inability to meet the perception business needs of third parties.

It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field.

Summary of the invention

The purpose of the present disclosure is to provide a perception data processing method, device, electronic device and readable medium, which are used to overcome, at least to a certain extent, the problem of being unable to meet the perception service needs of a third party due to the limitations and defects of related technologies.

According to a first aspect of an embodiment of the present disclosure, a perception data processing method is provided, including: in response to a request for a perception service sent by a terminal, performing perception to obtain perception data; sending the perception data to the perception function network element, and the perception function network element requests the required perception processing model from the unified data storage network element; the unified data storage network element sends the perception processing model to the perception function network element; the perception function network element processes the perception data by means of the acquired perception processing model to obtain a perception result; the perception function network element sends the perception result to the application function network element via the network open function network element, so that the application function network element feeds back the perception result to the terminal.

In an exemplary embodiment of the present disclosure, before responding to the request for the perception service sent by the terminal, it also includes: the operator corresponding to the core network stores the perception processing model in the unified data storage network element.

In an exemplary embodiment of the present disclosure, before responding to the request for the perception service sent by the terminal, it also includes: the terminal storing the perception processing model in the unified data storage network element through the network open function network element.

In an exemplary embodiment of the present disclosure, before responding to the request for the perception service sent by the terminal, it also includes: the operator corresponding to the core network sends an operation request for the perception processing model to the unified data storage network element.

In an exemplary embodiment of the present disclosure, before responding to the request for sensing the service sent by the terminal, the method further includes: The terminal sends an operation request for the perception processing model to the unified data storage network element through the network open function network element.

In an exemplary embodiment of the present disclosure, before responding to the request for the perception service sent by the terminal, it also includes: the unified data storage network element storing the perception processing model and its corresponding perception service type and/or perception service requirement.

In an exemplary embodiment of the present disclosure, in response to the perception service request sent by the terminal, it also includes: the perception function network element requests the unified data storage network element for a corresponding perception processing model according to the perception service type and/or perception service requirement.

In an exemplary embodiment of the present disclosure, the operation request includes at least one of adding, updating and deleting.

In an exemplary embodiment of the present disclosure, the perception data is perceived and obtained by a base station, and is sent to the perception function network element via a user plane or a control plane.

According to a second aspect of an embodiment of the present disclosure, a perception data processing device is provided, including: a perception module, configured to perform perception in response to a request for a perception service sent by a terminal to obtain perception data; a sending module, configured to send the perception data to the perception function network element, and the perception function network element requests the required perception processing model from the unified data storage network element; the sending module, configured to allow the unified data storage network element to send the perception processing model to the perception function network element; a processing module, configured to allow the perception function network element to process the perception data through the acquired perception processing model to obtain a perception result; and the sending module, configured to allow the perception function network element to send the perception result to the application function network element via the network open function network element, so that the application function network element can feed back the perception result to the terminal.

According to a third aspect of the present disclosure, an electronic device is provided, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute any one of the methods described above based on instructions stored in the memory.

According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a program is stored, and when the program is executed by a processor, the perceptual data processing method as described in any one of the above items is implemented.

In an embodiment of the present disclosure, perception is performed in response to a request for a perception service sent by a terminal to obtain perception data, and the perception data is sent to the perception function network element. The perception function network element requests the unified data storage network element for a corresponding perception processing model according to the type of the perception service and the perception data. The unified data storage network element sends the perception processing model to the perception function network element. The perception function network element processes the perception data by means of the acquired perception processing model to obtain a perception result. The perception function network element sends the perception result to the application function network element via the network open function network element, so that the application function network element feeds back the perception result to the terminal, so that the operator does not open the specific perception data obtained while also meeting the perception service requirements of third-party applications, thereby improving the privacy and security of the operator's internal data.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification are used to explain the principles of the present disclosure. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

FIG1 is a schematic diagram showing an exemplary system architecture to which the perception data processing solution of an embodiment of the present invention can be applied;

FIG2 is a flow chart of a method for processing perception data in an exemplary embodiment of the present disclosure;

FIG3 is a flow chart of another method for processing perception data in an exemplary embodiment of the present disclosure;

FIG4 is a flow chart of another method for processing perception data in an exemplary embodiment of the present disclosure;

FIG5 is a flow chart of another method for processing perception data in an exemplary embodiment of the present disclosure;

FIG6 is a flow chart of another method for processing perception data in an exemplary embodiment of the present disclosure;

FIG7 is an interactive schematic diagram of a perception data processing solution in an exemplary embodiment of the present disclosure;

FIG8 is a block diagram of a perception data processing device in an exemplary embodiment of the present disclosure;

FIG. 9 is a block diagram of an electronic device in an exemplary embodiment of the present disclosure.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

In addition, the accompanying drawings are only schematic diagrams of the present disclosure, and the same reference numerals in the drawings represent the same or similar parts, so their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and/or processor devices and/or microcontroller devices.

FIG. 1 is a schematic diagram showing an exemplary system architecture to which the perception data processing solution according to an embodiment of the present invention can be applied.

As shown in Fig. 1, the system architecture 100 may include one or more of terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or optical fiber cables, etc.

It should be understood that the number of terminal devices, networks and servers in FIG1 is merely illustrative. Any number of terminal devices, networks and servers may be provided as required. For example, the server 105 may be a server cluster composed of multiple servers.

Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Terminal devices 101, 102, 103 can be various electronic devices with display screens, including but not limited to smart phones, tablet computers, portable computers, desktop computers, etc.

In some embodiments, the perception data processing method provided in the embodiments of the present invention is generally executed by the server 105, and accordingly, the perception data processing device is generally arranged in the terminal device 103 (or the terminal device 101 or 102). In other embodiments, some terminals may have functions similar to those of the server device to execute the method.

Before describing the embodiments of the present disclosure, the following technical terms are explained and described:

NG-RAN: 5G radio access network, mainly including two types of nodes: gNB and ng-eNB. gNB is a node that provides NR user plane and control plane protocol terminals to UE and is connected to 5GC via NG interface. ng-eNB is a node that provides E-UTRA user plane and control plane protocol terminals to UE and is connected to 5GC via NG interface.

AMF: Access and Mobility Management Function, access and mobility management function.

UDR: Unified Data Repository, unified data storage network element, supports functions including UDM (Unified Data Management) storage and retrieval of contract data, PCF (Policy Control Function, which will provide all mobility, UE access selection and PDU session-related policies for which it is responsible) storage and retrieval of policy data, storage and retrieval of structured services, NEF application data (including packet flow description (PFD) for application detection, AF request information of multiple UEs (User Equipment)), etc.

NEF: Network Exposure Function, network service presentation function network element.

AF: Application Function, application function network element.

SF: Sensing Function, sensing function network element.

The exemplary embodiments of the present disclosure are described in detail below with reference to the above technical terms and drawings.

FIG. 2 is a flow chart of a method for processing perception data in an exemplary embodiment of the present disclosure.

Referring to FIG. 2 , the perception data processing method may include:

Step S202: in response to the request for the perception service sent by the terminal, perception is performed to obtain perception data.

Step S204, send the perception data to SF, and SF UDR requests the required perception processing model.

Step S206: UDR sends the perception processing model to SF.

Step S208: SF processes the perception data using the acquired perception processing model to obtain a perception result.

In step S210, the SF sends the sensing result to the AF via the NEF, so that the AF feeds back the sensing result to the terminal.

In the disclosed embodiment, in response to a request for a perception service sent by a terminal, perception processing is performed to obtain perception data, and the perception data is sent to SF. SF requests the required perception processing model from UDR, and UDR sends the perception processing model to SF. SF processes the perception data using the acquired perception processing model to obtain a perception result. SF sends the perception result to AF via NEF, so that AF feeds the perception result back to the terminal, so that the operator does not open the specific perception data obtained while also meeting the perception service requirements of third-party applications, thereby improving the privacy and security of the operator's internal data.

Next, each step of the perception data processing method is described in detail.

In an exemplary embodiment of the present disclosure, as shown in FIG3, in response to a request for a perception service sent by a terminal Before, it also includes:

Step S302: The operator corresponding to the core network stores the perception processing model in the UDR.

In an exemplary embodiment of the present disclosure, as shown in FIG4 , before responding to the request for sensing the service sent by the terminal, the method further includes:

Step S402: The terminal stores the perception processing model in the UDR via the NEF.

In an exemplary embodiment of the present disclosure, as shown in FIG5 , before responding to the request for sensing the service sent by the terminal, the method further includes:

Step S502: The operator corresponding to the core network sends an operation request for the perception processing model to the UDR.

In an exemplary embodiment of the present disclosure, as shown in FIG6 , before responding to the request for sensing the service sent by the terminal, the method further includes:

Step S602: The terminal sends an operation request for the perception processing model to the UDR through the NEF.

In an exemplary embodiment of the present disclosure, before responding to the request for the perception service sent by the terminal, it also includes: the UDR stores the perception processing model and its corresponding perception service type and/or perception service requirement.

In an exemplary embodiment of the present disclosure, in response to the perception service request sent by the terminal, it also includes: the perception function network element requests the unified data storage network element for the corresponding perception processing model according to the perception service type and/or perception service requirement.

In an exemplary embodiment of the present disclosure, the perception data is perceived and obtained by the base station, and is sent to the perception function network element through the user plane or the control plane.

In an exemplary embodiment of the present disclosure, the perception data includes estimation data of environmental monitoring and/or intrusion calculation data.

Based on the above perception data processing scheme, further, as shown in FIG7 , the synaesthesia result calculation architecture based on the external model includes NR-RAN 702, AFM 704, SF 706, UDR 708, NEF 710 and AF 712, and mainly includes the following stages:

1. Configuration phase:

1.1AF 712 sends perception model request (store/update/delete) to NEF 710.

1.2NEF 710 sends a perception model request (store/update/delete) to UDR 708.

1.3UDR708 performs operations of storing/updating/deleting related model information locally.

1.4UDR 708 returns the request result to NEF 710.

1.5NEF 710 returns the request result to AF712.

In the above embodiment, unlike opening the perception data obtained by base station perception to third-party applications, the operator obtains a model for generating perception results from a third-party application based on user data security, a large amount of perception data, etc., processes the perception data within the core network to obtain the perception results, and then opens the perception results to the third party.

The perception data processing model is provided by a third party or pre-configured by the operator in the UDR. Third-party applications can store/update/delete the perception data processing model to the UDR through NEF. The model has its corresponding perception service type and perception service requirements. Third-party applications can store perception data processing models with different perception service requirements for the same perception service type in UDR, such as processing models for different perception result accuracies for the same service.

2. Perception business realization stage:

When a third-party application or a terminal requests a perception service, the base station will obtain a set of perception data after the perception process. The perception data obtained in the perception process will be passed to SF 706, and then SF 706 will process the perception data. After SF 706 obtains the perception data, it needs to use the perception data processing model to obtain the perception result.

2.1 SF 706 requests the UDR 708 to obtain the processing model according to the service type and service requirements of the third-party application's perceived service.

2.2 UDR 708 returns the processing model to SF 706 as requested.

2.3 After SF 706 obtains the model, it uses the obtained model to process the perception data inside SF 706 to obtain the perception result.

2.4 The perception result of SF 706 is opened to AF 712 through NEF 710.

Corresponding to the above method embodiments, the present disclosure also provides a perception data processing device, which can be used to execute the above method embodiments.

FIG. 8 is a block diagram of a perception data processing apparatus in an exemplary embodiment of the present disclosure.

Referring to FIG8 , the perception data processing device 800 may include:

The perception module 802 is configured to perform perception in response to a request for a perception service sent by a terminal to obtain perception data.

The sending module 804 is configured to send the perception data to the SF, and the SF requests the required perception processing model from the UDR.

The sending module 804 is configured for the UDR to send the perception processing model to the SF.

The processing module 806 is configured to process the perception data through the acquired perception processing model of SF to obtain a perception result.

The sending module 804 is configured so that the SF sends the sensing result to the AF via the NEF, so that the AF feeds back the sensing result to the terminal.

In an exemplary embodiment of the present disclosure, the sending module 804 is further configured to: before responding to the request for the perception service sent by the terminal, the operator corresponding to the core network stores the perception processing model to the UDR.

In an exemplary embodiment of the present disclosure, the sending module 804 is further configured to: before responding to the request for the perception service sent by the terminal, the terminal stores the perception processing model to the UDR through the NEF.

In an exemplary embodiment of the present disclosure, the sending module 804 is further configured to: before responding to the request for the perception service sent by the terminal, the operator corresponding to the core network sends an operation request for the perception processing model to the UDR.

In an exemplary embodiment of the present disclosure, the sending module 804 is further configured to: before responding to the request for the perception service sent by the terminal, the terminal sends an operation request for the perception processing model to the UDR through the NEF.

In an exemplary embodiment of the present disclosure, before responding to the request for the perception service sent by the terminal, the method further includes: the UDR storing the perception processing model and its corresponding perception service type and/or perception service requirement.

In an exemplary embodiment of the present disclosure, in response to the perception service request sent by the terminal, it also includes: the SF requests the UDR for a corresponding perception processing model according to the perception service type and/or perception service requirement.

In an exemplary embodiment of the present disclosure, the perception data is perceived and obtained by the base station, and sent to the SF through a user plane or a control plane.

Since the functions of the perception data processing device 800 have been described in detail in the corresponding method embodiments, the present disclosure will not elaborate on them here.

It should be noted that, although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

It will be appreciated by those skilled in the art that various aspects of the present invention may be implemented as a system, method or program product. Therefore, various aspects of the present invention may be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software, which may be collectively referred to herein as a "circuit", "module" or "system".

The electronic device 900 according to this embodiment of the present invention is described below with reference to Fig. 9. The electronic device 900 shown in Fig. 9 is only an example and should not bring any limitation to the functions and application scope of the embodiment of the present invention.

As shown in Fig. 9, the electronic device 900 is presented in the form of a general computing device. The components of the electronic device 900 may include but are not limited to: at least one processing unit 910, at least one storage unit 920, and a bus 930 connecting different system components (including the storage unit 920 and the processing unit 910).

The storage unit stores program codes, which can be executed by the processing unit 910, so that the processing unit 910 performs the steps of various exemplary embodiments of the present invention described in the above “Exemplary Method” section of this specification. For example, the processing unit 910 can perform the method shown in the embodiment of the present disclosure.

The storage unit 920 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 9201 and/or a cache storage unit 9202 , and may further include a read-only storage unit (ROM) 9203 .

The storage unit 920 may also include a program/utility 9204 having a set (at least one) of program modules 9205, such program modules 9205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

Bus 930 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 900 may also communicate with one or more external devices 940 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 900, and/or may communicate with any device that enables the electronic device 900 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input/output (I/O) interface 950. Furthermore, the electronic device 900 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and/or public networks, such as the Internet) via a network adapter 960. As shown, the network adapter 960 communicates with other modules of the electronic device 900 via a bus 930. It should be understood that, although not shown in the figure, other hardware and/or software modules may be used in conjunction with the electronic device 900, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

In summary, the embodiments of the present disclosure have at least the following technical effects:

1. It can combine the different perception result requirements of third-party applications, so that operators can meet the needs of third-party applications without opening the specific perception data obtained.

2. It can ensure the privacy and security of the operator's internal data. Not only that, there is no need to transmit data to a third party, and there is no need to consider the issue of distinguishing perception data on the user side.

3. The perception data processing model of the third-party application can be stored in the operator's network for data processing. Data processing models of different accuracy can be stored to meet different business needs.

Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible implementations, various aspects of the present invention may also be implemented in the form of a program product, which includes a program code, and when the program product is run on a terminal device, the program code is used to enable the terminal device to perform the steps according to various exemplary implementations of the present invention described in the above "Exemplary Method" section of the present specification.

The program product for implementing the above method according to an embodiment of the present invention can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus or a device.

The program product may be implemented in any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), Read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.

Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.

Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to an exemplary embodiment of the present invention, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and concept of the present disclosure are indicated by the claims.

Claims

A method for processing perception data, characterized in that it is applicable to a core network, comprising:

Responding to a request for a sensing service sent by a terminal, sensing is performed to obtain sensing data;

Sending the perception data to the perception function network element, the perception function network element requests the unified data storage network element for a corresponding perception processing model according to the type of the perception service and the perception data;

The unified data storage network element sends the perception processing model to the perception function network element;

The perception function network element processes the perception data through the acquired perception processing model to obtain a perception result;

The perception function network element sends the perception result to the application function network element via the network open function network element, so that the application function network element feeds back the perception result to the terminal. The perception data is perceived and obtained by the base station and sent to the perception function network element through the user plane or the control plane.
The method for processing perception data according to claim 1, characterized in that before responding to the perception service request sent by the terminal, it also includes:

The operator corresponding to the core network stores the perception processing model in the unified data storage network element.
The method for processing perception data according to claim 1, characterized in that before responding to the perception service request sent by the terminal, it also includes:

The terminal stores the perception processing model in the unified data storage network element through the network open function network element.
The method for processing perception data according to claim 1, characterized in that before responding to the perception service request sent by the terminal, it also includes:

The operator corresponding to the core network sends an operation request for the perception processing model to the unified data storage network element, and the operation request includes at least one of adding, updating and deleting.
The method for processing perception data according to claim 1, characterized in that before responding to the perception service request sent by the terminal, it also includes:

The terminal sends an operation request for the perception processing model to the unified data storage network element through the network open function network element, and the operation request includes at least one of adding, updating and deleting.
The method for processing perception data according to claim 1, characterized in that before responding to the perception service request sent by the terminal, it also includes:

The unified data storage network element stores the perception processing model and its corresponding perception service type and/or perception service requirement.
The method for processing perception data according to claim 1, characterized in that, in response to a perception service request sent by a terminal, it further comprises:

The perception function network element requests the corresponding perception processing model from the unified data storage network element according to the perception service type and/or perception service requirement.
A perception data processing device, characterized by comprising:

A perception module, configured to perform perception in response to a perception service request sent by a terminal to obtain perception data;

A sending module, configured to send the perception data to the perception function network element, and the perception function network element requests the required perception processing model from the unified data storage network element;

The sending module is configured to send the perception processing model to the perception function network element through the unified data storage network element;

A processing module, configured to process the perception data by the perception function network element through the acquired perception processing model to obtain a perception result;

The sending module is configured so that the perception function network element sends the perception result to the application function network element via the network open function network element, so that the application function network element feeds back the perception result to the terminal.
An electronic device, comprising:

Memory; and

A processor coupled to the memory, wherein the processor is configured to execute the perception data processing method according to any one of claims 1 to 7 based on instructions stored in the memory.
A computer-readable storage medium stores a program, which, when executed by a processor, implements the perception data processing method as described in any one of claims 1 to 7.