Method and device for determining perception result and communication equipment

Abstract

The invention relates to a perception result determination method and device, communication equipment, a storage medium and a computer program product. The method comprises the following steps: receiving a perception service request, wherein the perception service request carries a perception service type, a perception service requirement and a target type of a perception result; generating a sensing data acquisition request and a sensing model acquisition request based on the sensing service type, the sensing service requirement and the target type of the sensing result; and calculating the sensing data based on the partial model of the target sensing model to obtain a sensing intermediate result, and sending the sensing intermediate result. By adopting the method, on the basis of ensuring the security privacy of the perception data, the calculation of the perception intermediate result can be realized through the partial model in the split perception model, and the perception data does not need to be opened to the third-party application, so that the third-party application can continue to process the perception service based on the received perception intermediate result; and normal operation of the sensing service is ensured.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a method, apparatus, communication device, storage medium and computer program product for determining a perception result. Background Art

[0002] Sensing Services refers to services that can sense the state of objects. Communication perception is an important support for the future 5G-A intelligent network upgrade and the expansion of industry applications. The application field of sensing services is very broad, including perception in a variety of different application scenarios, such as traffic command, smart city, smart home, smart low-altitude and other scenarios, such as high-precision dynamic maps, intrusion monitoring, drone supervision and obstacle avoidance, weather monitoring and other application scenarios.

[0003] In the related technology, since third-party applications using communication perception services use perception data with a higher security level when calculating perception results through communication perception services, there is a risk to the security of the perception data. Therefore, how to realize the calculation of perception results within the core network is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The embodiments of the present application provide a method, apparatus, communication device, storage medium and computer program product for determining a perception result, which can achieve accurate calculation of the perception result while ensuring the security of the perception data.

[0005] A method for determining a perception result, applied to a network element having a perception function, the method comprising:

[0006] receiving a sensing service request, wherein the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result;

[0007] Based on the perception service type, the perception service requirement and the target type of the perception result, a perception data acquisition request and a perception model acquisition request are generated, wherein the perception model acquisition request is used to request a partial model of the target perception model;

[0008] receiving the perception data corresponding to the perception data acquisition request, and receiving a partial model of a target perception model corresponding to the perception model acquisition request;

[0009] The perception data is calculated based on a partial model of the target perception model to obtain a perception intermediate result, and the perception intermediate result is sent.

[0010] In one embodiment, after the step of generating a perception data acquisition request, the method further includes:

[0011] The sensing data acquisition request is sent to a base station, so that the base station performs sensing, obtains sensing data matching the sensing data acquisition request, and returns the sensing data to the network element with sensing function.

[0012] In one embodiment, before the step of receiving the partial model of the target perception model corresponding to the perception model acquisition request, the method further includes:

[0013] The perception model acquisition request is sent to the unified data storage UDR, so that the unified data storage UDR determines the partial model of the target perception model based on the perception service type and perception service requirements, and returns the partial model of the target perception model to the network element with perception function.

[0014] In one of the embodiments, it also includes: the network element with perception function is a perception function network element SF.

[0015] In one embodiment, sending the perceived intermediate result includes:

[0016] The perception intermediate result is sent to the application function AF through the network open function NEF.

[0017] In one embodiment, the calculating the perception data based on the partial model of the target perception model to obtain a perception intermediate result, and sending the perception intermediate result includes:

[0018] Based on a partial model in the target model, the perception data is calculated to obtain a perception intermediate result;

[0019] The perception intermediate result is sent to the application function AF through the network open function NEF, so that the application function AF processes the perception intermediate result through other parts of the target perception model except the partial model to obtain the perception final result.

[0020] A method for determining a perception result, applied to a unified data storage UDR, the method comprising:

[0021] receiving a perception model acquisition request, the perception model acquisition request being used to request a partial model of a target perception model, the perception model acquisition request being sent by a network element having a perception function;

[0022] Querying a target perception model that matches the perception model acquisition request, and querying, among the parts included in the target perception model, a partial model that matches the perception model acquisition request;

[0023] A partial model of the target perception model is sent to the network element with perception function.

[0024] In one embodiment, the querying of the target perception model that matches the perception model acquisition request, and querying the partial models that match the perception model acquisition request in the various parts included in the target perception model, include:

[0025] Based on the sensing service type, the sensing service requirement, and the target type of the sensing result, querying a target sensing model that matches the sensing model acquisition request;

[0026] Based on the perception service type, the perception service requirement and the target type of the perception result, a partial model matching the perception model acquisition request is queried among the parts included in the target perception model.

[0027] In one of the embodiments, the network element with sensing function is a sensing function network element SF.

[0028] In one embodiment, the method further comprises:

[0029] Receive a perception model operation request, the perception model operation request carrying a perception model, a business type corresponding to the perception model, a business requirement corresponding to the perception model, and a target type of a perception result output by the perception model, the perception model operation request being used to instruct the unified data storage UDR to process the perception model;

[0030] Based on the perceptual model operation request, the perceptual model corresponding to the perceptual model operation request is processed to obtain a request response message, and the request response message is sent.

[0031] In one of the embodiments, the perceptual model operation request includes a perceptual model storage request, a perceptual model update request, a perceptual model deletion request, and a partial model operation request of the perceptual model.

[0032] In one embodiment, the perceptual model operation request is a perceptual model storage request, and based on the perceptual model operation request, processing the perceptual model corresponding to the perceptual model operation request, obtaining a request response message, and sending the request response message include:

[0033] Based on the perception model storage request, the perception model carried in the perception model storage request is stored, a storage completion response message is obtained, and the storage completion response message is sent.

[0034] In one embodiment, receiving a perception model operation request includes:

[0035] A perception model operation request is received from a network open function NEF, where the perception model operation request is sent from an application function AF to the network open function NEF.

[0036] In one embodiment, sending the request response message includes:

[0037] The request response message is sent to a network opening function NEF, so that the network opening function NEF sends the request response message to the application function AF.

[0038] A device for determining a perception result, applied to a network element SF having a perception function, the device comprising:

[0039] A first receiving module is used to receive a sensing service request, where the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result;

[0040] A first generating module, configured to generate a perception data acquisition request and a perception model acquisition request based on the perception service type, the perception service requirement, and the target type of the perception result, wherein the perception model acquisition request is used to request a partial model of a target perception model;

[0041] A second receiving module is used to receive the perception data corresponding to the perception data acquisition request, and receive a partial model of the target perception model corresponding to the perception model acquisition request;

[0042] The first sending module is used to calculate the perception data based on the partial model of the target perception model to obtain a perception intermediate result, and send the perception intermediate result.

[0043] In one embodiment, the sensing result determining means comprises:

[0044] The third sending module is used to send the perception data acquisition request to the base station, so that the base station performs perception, obtains the perception data matching the perception data acquisition request, and returns the perception data to the network element with perception function.

[0045] In one embodiment, the sensing result determining means comprises:

[0046] The fourth sending module is used to send the perception model acquisition request to the unified data storage UDR, so that the unified data storage UDR determines the partial model of the target perception model based on the perception service type and perception service requirements, and returns the partial model of the target perception model to the network element with perception function.

[0047] In one embodiment, the first sending module is specifically used to:

[0048] The perception intermediate result is sent to the application function AF through the network open function NEF.

[0049] In one embodiment, the first sending module is further specifically configured to:

[0050] Based on a partial model in the target model, the perception data is calculated to obtain a perception intermediate result;

[0051] The perception intermediate result is sent to the application function AF through the network open function NEF, so that the application function AF processes the perception intermediate result through other parts of the target perception model except the partial model to obtain the perception final result.

[0052] A device for determining a perception result, applied to a unified data storage (UDR), comprising:

[0053] A third receiving module is used to receive a perception model acquisition request, where the perception model acquisition request is used to request a partial model of a target perception model, and the perception model acquisition request is sent by a network element with a perception function;

[0054] A first query module is used to query a target perception model that matches the perception model acquisition request, and query each part included in the target perception model for a partial model that matches the perception model acquisition request;

[0055] The second sending module is used to send a partial model of the target perception model to the network element with perception function.

[0056] In one embodiment, the first query module is specifically used to:

[0057] Based on the sensing service type, the sensing service requirement, and the target type of the sensing result, querying a target sensing model that matches the sensing model acquisition request;

[0058] Based on the perception service type, the perception service requirement and the target type of the perception result, a partial model matching the perception model acquisition request is queried among the parts included in the target perception model.

[0059] In one embodiment, the device further comprises:

[0060] a fourth receiving module, configured to receive a perception model operation request, wherein the perception model operation request carries a perception model, a business type corresponding to the perception model, a business requirement corresponding to the perception model, and a target type of a perception result output by the perception model, and the perception model operation request is used to instruct the unified data storage UDR to process the perception model;

[0061] The perception data processing module is used to process the perception model corresponding to the perception model operation request based on the perception model operation request, obtain the request response message, and send the request response message.

[0062] In one embodiment, the perception data processing module is specifically used to

[0063] Based on the perception model storage request, the perception model carried in the perception model storage request is stored, a storage completion response message is obtained, and the storage completion response message is sent.

[0064] In one embodiment, the third receiving module is specifically used for:

[0065] A perception model operation request is received from a network open function NEF, where the perception model operation request is sent from an application function AF to the network open function NEF.

[0066] In one embodiment, the fourth sending module:

[0067] The request response message is sent to a network opening function NEF, so that the network opening function NEF sends the request response message to the application function AF.

[0068] A communication device, comprising: a transmitter, a processor and a receiver;

[0069] The receiver is used to receive a sensing service request, where the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result;

[0070] The processor is used to generate a perception data acquisition request and a perception model acquisition request based on the perception service type, the perception service requirement, and the target type of the perception result, wherein the perception model acquisition request is used to request a partial model of a target perception model;

[0071] The receiver is further configured to receive the perception data corresponding to the perception data acquisition request, and receive a partial model of the target perception model corresponding to the perception model acquisition request;

[0072] The processor is further used to calculate the perception data based on a partial model of the target perception model to obtain a perception intermediate result, and send the perception intermediate result.

[0073] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0074] receiving a sensing service request, wherein the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result;

[0075] Based on the perception service type, the perception service requirement and the target type of the perception result, a perception data acquisition request and a perception model acquisition request are generated, wherein the perception model acquisition request is used to request a partial model of the target perception model;

[0076] receiving the perception data corresponding to the perception data acquisition request, and receiving a partial model of a target perception model corresponding to the perception model acquisition request;

[0077] The perception data is calculated based on a partial model of the target perception model to obtain a perception intermediate result, and the perception intermediate result is sent.

[0078] A computer program product includes a computer program. When the computer program is executed by a processor, the method for determining a perception result provided in an embodiment of the present application is implemented. The method may be:

[0079] receiving a sensing service request, wherein the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result;

[0080] Based on the perception service type, the perception service requirement and the target type of the perception result, a perception data acquisition request and a perception model acquisition request are generated, wherein the perception model acquisition request is used to request a partial model of the target perception model;

[0081] receiving the perception data corresponding to the perception data acquisition request, and receiving a partial model of a target perception model corresponding to the perception model acquisition request;

[0082] The perception data is calculated based on a partial model of the target perception model to obtain a perception intermediate result, and the perception intermediate result is sent.

[0083] The above-mentioned method, device, communication device, storage medium and computer program product for determining the perception result include: receiving a perception service request, the perception service request carries the perception service type, the perception service requirement and the target type of the perception result; based on the perception service type, the perception service requirement and the target type of the perception result, generating a perception data acquisition request and a perception model acquisition request, the perception model acquisition request is used to request a partial model of the target perception model; receiving the perception data corresponding to the perception data acquisition request, and receiving the partial model of the target perception model corresponding to the perception model acquisition request; calculating the perception data based on the partial model of the target perception model to obtain the perception intermediate result, and sending the perception intermediate result. By adopting this method, the calculation of the perception intermediate result can be realized by using the partial model in the split perception model on the basis of ensuring the security and privacy of the perception data, without opening the perception data to the third-party application, but by transmitting the perception intermediate result obtained by calculation, the third-party application can continue to process the perception service based on the received perception intermediate result, ensuring the normal operation of the perception service, and can also achieve a significant improvement in the processing efficiency of the perception data on the basis of ensuring the avoidance of the extra consumption of computing resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 A diagram of an application environment of a method for determining a perception result in one embodiment;

[0085] Figure 2 is a flow chart of a method for determining a perception result in one embodiment;

[0086] Figure 3 A flowchart of a step of determining a final result of perception in one embodiment;

[0087] Figure 4 is a flow chart of a method for determining a perception result in another embodiment;

[0088] Figure 5 A flowchart of some model steps of querying a target perception model in one embodiment;

[0089] Figure 6 A flowchart of operation steps based on a perception model operation request in one embodiment;

[0090] Figure 7 is a heart signaling diagram in one embodiment;

[0091] Figure 8 is a structural block diagram of a device for determining a perception result in one embodiment;

[0092] Fig. 9 is a structural block diagram of a device for determining a perception result in one embodiment;

[0093] Fig.10 FIG. 4 is a diagram showing the internal structure of a communication device in one embodiment. DETAILED DESCRIPTION

[0094] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0095] Figure 1 A schematic diagram of an application scenario of a method for determining a perception result provided in an embodiment of the present application. Figure 1 As shown, the scenario at least includes a network element 100 with a sensing function and a unified data storage 200 (UDR). The network element 100 with a sensing function and the unified data storage 200 (UDR) perform data transmission via a network. It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0096] In traditional technology, communication perception services are realized through base station perception. Specific scenarios may include using channel measurement information to estimate weather monitoring, calculate intrusion monitoring, etc. Third-party applications may have different result requirements. Operator networks avoid opening perception data to third-party applications based on user data security considerations and the relatively large volume of perception data. Based on this, traditional technologies need to open perception data with a high degree of security and privacy in the operator network to third-party applications, resulting in the inability to guarantee data security and a high risk of perception data leakage.

[0097] Based on the above-mentioned traditional technology, the perception result determination method provided in the embodiment of the present application can obtain a model for processing perception data from other third-party applications. The model is a partial model obtained after splitting the perception model. The perception data can be processed within the core network based on the partial model of the perception model obtained to obtain the perception intermediate result, and the calculated perception intermediate result can be opened to the third-party application. By adopting this method, the needs of different third-party applications for different perception results can be combined. On the basis of not requiring the operator network to open the perception data to the third-party application, the perception service can be realized, the privacy and security of the operator's internal data can be guaranteed, the perception data can be avoided from being opened to third parties, and the perception data can be avoided from being distinguished on the user side, further improving the processing efficiency of the perception data.

[0098] It should be noted that the beneficial effects brought about by the embodiments of the present application or the technical problems solved are not limited to this one, but may also include other implicit or related problems. For details, please refer to the description of the following embodiments.

[0099] Before introducing the specific embodiments of the present invention, the professional terms involved in the present invention are explained first:

[0100] UDR: Unified Data Repository, unified data storage, supports functions including UDM (Unified Data Management) storage and retrieval of contract data, PCF (Policy Control Function) storage and retrieval of policy data, storage and retrieval of structured services, NEF application data (including packet flow description for application detection, AF request information of multiple UEs), etc.

[0101] AMF: Access and Mobility Management Function, access and mobility management function.

[0102] NEF: Network Exposure Function, network business presentation function.

[0103] AF: Application Function, application function.

[0104] SF: Sensing Function, perception function.

[0105] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0106] In one embodiment, Figure 2 As shown, a method for determining a perception result is provided, and the method is applied to Figure 1 The following steps are used as an example to illustrate the network element with perception function in FIG.

[0107] Step 202: Receive a sensing service request.

[0108] Among them, the perception service request carries the perception service type, the perception service requirement and the target type of the perception result. The perception service type is a type that characterizes the perception service, for example, it can be a weather detection type perception service, or it can be an intrusion monitoring type perception service; the perception service requirement can be a requirement for implementing the service, for example, it can be an accuracy rate greater than a preset accuracy rate threshold; the target type of the perception result can be a result that characterizes the perception result required by the perception service request, for example, it can be a perception intermediate result. The network element with the perception function can be a perception network element SF, or it can be a network element obtained by adding a perception function to an existing network element. In an example, in the case where the perception service type is a weather detection type perception service, the perception service requirement can be that the accuracy of the detection result obtained by detecting the weather must be higher than the preset accuracy rate threshold.

[0109] Specifically, the third-party application function AF (Application Function) can trigger a perception service request based on the needs of the actual application scenario. The specific triggering process can be that the third-party application function AF can determine the type of perception service that needs to be triggered, the requirements of the perception service, and the target type of the perception result based on the perception needs of the actual scenario, and generate a perception service request based on the perception service type, the perception service requirements, and the target type of the perception result, and send the perception service request to the network element with perception function.

[0110] In an example, the third-party application function AF may generate a perception service request based on the perception service type, the perception service requirement, and the target type of the perception result being a perception intermediate result, and send the perception service request to a network element having the perception function.

[0111] Step 204: Generate a perception data acquisition request and a perception model acquisition request based on the perception service type, the perception service requirement, and the target type of the perception result.

[0112] Among them, the perception model acquisition request is used to request a partial model of the target perception model. The target perception model may include multiple parts. The perception model acquisition request may be used to request the target part among the multiple parts included in the target perception model, that is, to request a partial model in the target perception model. The perception data acquisition request is used to request perception data. For example, the perception data acquisition request may be sent to a base station. After receiving the perception data acquisition request, the base station performs perception and acquires perception data. The target perception model may include multiple modules (multiple processing layers). The perception model acquisition request requests the partial model of the target perception model that is requested to be acquired. It may be a target module among the multiple modules included in the target perception model, for example, it may be a processing module that performs desensitization processing on the perception data, etc.

[0113] Specifically, the network element with perception function can generate a perception data acquisition request and a perception model acquisition request based on the perception service type, the perception service requirement, and the type of the target perception result being the type of the perception intermediate result. Specifically, the network element with perception function can generate a perception data acquisition request carrying the perception service type, the perception service requirement, and the perception intermediate result, and generate a perception model acquisition request carrying the perception service type, the perception service requirement, and the perception intermediate result. Based on this, the network element with perception function can send the perception data acquisition request and the perception model acquisition request to other network elements. This embodiment does not limit the execution order of the steps of sending the perception data acquisition request and the steps of sending the perception model acquisition request. The network element with perception function can send the perception data acquisition request and the perception model acquisition request to different network elements at the same time; the network element with perception function can also send the perception data acquisition request first, then send the perception model acquisition request, and so on.

[0114] Step 206: receiving the perception data corresponding to the perception data acquisition request, and receiving a partial model of the target perception model corresponding to the perception model acquisition request.

[0115] Specifically, the network element that receives the perception data acquisition request can perform perception based on the perception data acquisition request, obtain the perception data that matches the perception data acquisition request, and return the perception data to the network element with perception function; similarly, the third-party application function AF that receives the perception model acquisition request can determine the target perception model based on the perception model acquisition request, determine the partial model in the target perception model, and return the partial model of the target perception model to the network element with perception function. Based on this, the network element with perception function can receive the perception data returned by other network elements, and receive the partial model of the target perception model returned by the third-party application function AF.

[0116] Step 208: Calculate the perception data based on the partial model of the target perception model to obtain a perception intermediate result, and send the perception intermediate result.

[0117] Among them, the perception intermediate result is the perception intermediate result calculated based on a partial model in the target perception model.

[0118] Specifically, the network element with perception function can process based on the acquired partial model in the target perception model and the perception data to obtain the perception intermediate result. The specific processing process may be: the network element with perception function can input the perception data into the partial model in the target perception model so that the partial model processes the perception data to obtain the perception intermediate result. In this way, the network element with perception function can send the calculated perception intermediate result to the third-party application function AF. After receiving the perception intermediate result, the third-party application function AF can input the perception intermediate result into other parts of the partial model in the target perception model to obtain the perception final result and realize the perception service.

[0119] In the above-mentioned method for determining the perception result, a perception service request is received, the perception service request carries the perception service type, the perception service requirement and the target type of the perception result; based on the perception service type, the perception service requirement and the target type of the perception result, a perception data acquisition request and a perception model acquisition request are generated, the perception model acquisition request is used to request a partial model of the target perception model; the perception data corresponding to the perception data acquisition request is received, and the partial model of the target perception model corresponding to the perception model acquisition request is received; the perception data is calculated based on the partial model of the target perception model to obtain the perception intermediate result, and the perception intermediate result is sent. By adopting this method, the calculation of the perception intermediate result can be realized by using the partial model in the split perception model on the basis of ensuring the security and privacy of the perception data, without opening the perception data to the third-party application, but by transmitting the perception intermediate result obtained by calculation, the third-party application can continue to process the perception service based on the received perception intermediate result, ensuring the normal operation of the perception service, and can also achieve a significant improvement in the processing efficiency of the perception data on the basis of ensuring the extra consumption of computing resources.

[0120] In one embodiment, after generating the perception data acquisition request in step 204, the method further includes:

[0121] A sensing data acquisition request is sent to the base station so that the base station performs sensing, obtains sensing data matching the sensing data acquisition request, and returns the sensing data to the network element with sensing function.

[0122] Among them, the base station RAN is an access network device that can interact with network elements with perception functions and can perform perception.

[0123] Specifically, the network element with the perception function generates a perception data acquisition request based on the perception service type, the perception service requirement, and the target type of the perception result as the type of the perception intermediate result, and sends the perception data acquisition request to the base station. After receiving the perception data acquisition request, the base station can determine the type of the perception data and the acquisition method of the perception data based on the perception data acquisition request. Based on this, the base station can perform perception based on the determined acquisition method of the perception data to obtain the perception data matching the type of the perception data. The base station can return the acquired perception data to the network element with the perception function.

[0124] In this embodiment, through data interaction between the network element with perception function and the base station, perception data matching the perception service can be acquired, and the perception data can be transmitted to the network element with perception function to ensure the security and privacy of the perception data.

[0125] In one embodiment, before receiving the partial model of the target perception model corresponding to the perception model acquisition request in step 206, the method further includes:

[0126] A perception model acquisition request is sent to the unified data storage UDR, so that the unified data storage UDR determines a partial model of the target perception model based on the perception service type and perception service requirements, and returns the partial model of the target perception model to the network element with perception function.

[0127] Among them, the unified data storage UDR can store multiple perception models. The unified data storage UDR can interact with various third-party application functions in advance, receive the perception models sent by various third-party application functions, and store multiple perception models in the unified data storage UDR.

[0128] Specifically, the network element with perception function can generate a perception model acquisition request based on the perception service type, the perception service requirements, and the target type of the perception result as the type of the perception intermediate result, and send the perception model acquisition request to the unified data storage UDR. After receiving the perception model acquisition request, the unified data storage UDR can determine the target perception model that matches the perception model acquisition request, and determine the partial model that matches the perception model acquisition request among the multiple parts contained in the target perception model. Based on this, the unified data storage UDR can generate a request response message carrying the partial model in the target perception model, and return the request response message to the network element with perception function, that is, the unified data storage UDR sends a partial model request response message containing the target perception model to the network element with perception function.

[0129] In this embodiment, through the interaction of model data between the network element with perception function and the unified data storage network element, the opening of perception data to third-party application functions can be avoided, the security and privacy of perception data can be guaranteed, and the processing efficiency of perception data can be further improved.

[0130] In one embodiment, the network element with the sensing function is a sensing function network element SF. Specifically, the sensing function network element may be SF (Sensing Function); in one example, the network element with the sensing function may be a network element after the sensing function is added to the target network element, and the target network element may be a network element in the 5g core network; for example, the network element with the sensing function may be a network element after the sensing function is newly added to the unified data storage network element, and so on.

[0131] In this embodiment, the data of the perception data is realized through the perception network element, thereby preventing the perception data from being opened to third-party application functions.

[0132] In one embodiment, the step of “sending the perception intermediate result” may include:

[0133] The perception intermediate result is sent to the application function AF through the network exposure function NEF.

[0134] The application function AF may be a third-party application function AF.

[0135] Specifically, the network element with perception function can send the perception intermediate result to the network open function NEF. After receiving the perception intermediate result, the network open function NEF can send the perception intermediate result to the third-party application function AF, thereby realizing the transmission of the perception intermediate result between the network element with perception function and the third-party application function AF.

[0136] In this embodiment, the perception intermediate result is sent to the application function AF through the network open function NEF, and the perception intermediate result can be quickly and accurately returned to the matching third-party application function to ensure the implementation of the perception service.

[0137] In one embodiment, Figure 3 As shown, the step of “calculating the perception data based on the partial model of the target perception model, obtaining the perception intermediate result, and sending the perception intermediate result” may include:

[0138] Step 302: Calculate the perception data based on a partial model in the target perception model to obtain a perception intermediate result.

[0139] Among them, the partial model in the target perception model can be the target part in the target perception model.

[0140] Specifically, a network element with perception function can input perception data into a partial model in a target perception model, and the partial model in the target perception model can process the perception data to obtain a perception intermediate result output by the partial model in the target perception model.

[0141] Step 304: Send the perception intermediate result to the application function AF through the network open function NEF, so that the application function AF processes the perception intermediate result through other parts of the target perception model except the partial model to obtain the perception final result.

[0142] Among them, the other parts of the target perception model except the partial model can be the other parts of the multiple parts included in the target perception model except the target part.

[0143] Specifically, the network element with the perception function can send the perception intermediate result to the network open function NEF, and the network open function NEF can send the perception intermediate result to the application function AF after receiving the perception intermediate result. The application function AF can process the perception intermediate result based on the other parts of the target perception model except the partial model to obtain the perception final result and realize the processing of the perception service.

[0144] In one example, some models in the target perception model can be data desensitization processing modules. Network elements with perception functions can input perception data into the data desensitization processing module. The data desensitization processing module can perform desensitization on the perception data to obtain desensitized perception data, and determine the desensitized perception data as the perception intermediate result.

[0145] In another example, the target perception model may include a first module and a second module, and a partial model in the target perception model may be the first module. The network element with the perception function may input the perception data into the first module so that the first module processes the perception data to obtain a first result output by the first module, and the network element with the perception function may determine the first result as a perception intermediate result, and send the perception intermediate result to the application function AF to send the perception intermediate result, and the application function AF may process the perception intermediate result based on other parts of the target perception model except the partial model to obtain a perception final result. That is, the application function AF may process the first result output by the first module with the second module in the target perception model to obtain a second result, and determine the second result as the perception final result.

[0146] In this embodiment, a network element with perception function processes the perception data based on a partial model of the target perception model to obtain a perception intermediate result, thereby realizing the processing of the perception service while ensuring the security of the perception data.

[0147] In one embodiment, Figure 4 As shown, a method for determining a perception result is provided, and the method is applied to Figure 1 The unified data storage UDR in the example is used to illustrate the following steps:

[0148] Step 402: Receive a perception model acquisition request.

[0149] Among them, the perception model acquisition request is used to request a partial model of the target perception model, and the perception model acquisition request is sent by a network element with perception function to the unified data storage UDR.

[0150] Specifically, the network element with perception function generates a perception data acquisition request and a perception model acquisition request based on the perception service type, perception service requirements and the type of the target perception result as the type of the perception intermediate result, and sends the perception model acquisition request to the unified data storage UDR. Accordingly, the unified data storage UDR can receive the perception model acquisition request.

[0151] Step 404, querying the target perception model that matches the perception model acquisition request, and querying the partial models that match the perception model acquisition request in each part included in the target perception model.

[0152] Among them, the target perception model that matches the perception model acquisition request can be a perception model that matches the perception service type and matches the perception service requirements; the partial model that matches the perception model acquisition request can be a part that matches the perception service type and matches the perception service requirements among the multiple parts included in the target perception model.

[0153] Specifically, the unified data storage UDR can determine the target perception model that matches the perception model acquisition request based on the perception service type, perception service requirements, and the type of the target perception result as the type of the perception intermediate result carried in the perception model acquisition request, and determine the partial model that matches the perception service type and the perception service requirements among the multiple parts contained in the target perception model.

[0154] In one example, the unified data storage network element may directly determine, based on the perception model acquisition request, some models in the target perception model that match the perception model acquisition request.

[0155] In another example, the target perception model may include multiple modules, and the perception model determined by the unified data storage UDR to match the perception model acquisition may be the target perception model. Based on this, the unified data storage UDR may determine the target module that matches the perception service type and the perception service requirements among the multiple modules included in the target perception module, and determine the target module as the partial model that matches the perception model acquisition request.

[0156] Step 406: Send a partial model of the target perception model to a network element with perception function.

[0157] Specifically, after determining a partial model in the target perception model that matches the perception model acquisition, the unified data storage UDR can generate a request response message, which includes model data of the partial model in the target perception model.

[0158] In this embodiment, the transfer of model data of the perception model between the unified data storage network element and the network element with perception function is realized through the interaction of model data between the unified data storage network element and the network element with perception function.

[0159] In one embodiment, Figure 5 As shown, the step of "querying the target perception model that matches the perception model acquisition request, and querying the partial models that match the perception model acquisition request in each part included in the target perception model" may include:

[0160] Step 502: Based on the perception service type, the perception service requirement, and the target type of the perception result, query the target perception model that matches the perception model acquisition request.

[0161] Step 504 , based on the perception service type, the perception service requirement and the target type of the perception result, query the partial models that match the perception model acquisition request in each part included in the target perception model.

[0162] Specifically, the unified data storage UDR can determine the target perception model that matches the perception model acquisition request based on the perception service type carried in the perception model acquisition request, the perception service requirements, and the type of the target perception result being the type of the perception intermediate result. The target perception model may include multiple parts, based on which the unified data storage network element can determine the partial model that matches the perception service type and the perception service requirements among the multiple parts contained in the target perception model.

[0163] In one example, the target perception model may include multiple modules, and the perception model determined by the unified data storage UDR to match the perception model acquisition may be the target perception model. Based on this, the unified data storage UDR may determine the target module that matches the perception service type and the perception service requirements among the multiple modules included in the target perception module, and determine the target module as the partial model that matches the perception model acquisition request.

[0164] In this embodiment, the transfer of model data of the perception model between the unified data storage network element and the network element with perception function is realized through the interaction of model data between the unified data storage network element and the network element with perception function.

[0165] In one embodiment, the network element with the sensing function is a sensing function network element SF. Specifically, the sensing function network element may be SF (Sensing Function); in one example, the network element with the sensing function may be a network element after the sensing function is added to the target network element, and the target network element may be a network element in the 5g core network; for example, the network element with the sensing function may be a network element after the sensing function is newly added to the unified data storage network element, and so on.

[0166] In this embodiment, the interaction of perception data is achieved through the perception network element, thereby preventing the perception data from being opened to third-party application functions.

[0167] In one embodiment, Figure 6 As shown, the method for determining the perception result also includes:

[0168] Step 602, receiving a perception model operation request.

[0169] Among them, the perception model operation request carries the perception model, the business type corresponding to the perception model, the business requirements corresponding to the perception model, and the target type of the perception result output by the perception model; the target type of the perception result output by the perception model may include the type of the perception intermediate result, etc., and may also include the type of the perception final result, etc.

[0170] Specifically, the application function AF can generate a perception model operation request, which may include the perception model, identification information of the perception model, the business type corresponding to the perception model, the business requirements corresponding to the perception model, and the target type of the perception result output by the perception model, etc.; the application function can send the perception model operation request to the unified data storage network element, and the unified data storage network element can perform perception model operations based on the received perception model operation request.

[0171] Step 604: based on the perception model operation request, process the perception model corresponding to the perception model operation request, obtain a request response message, and send the request response message.

[0172] Among them, the perception model corresponding to the perception model operation request can be the perception model carried by the perception model operation request, or it can be a perception model determined based on the data carried by the perception model operation request.

[0173] Specifically, after receiving a perception model operation request, the unified data storage network element will determine the perception model corresponding to the perception model operation request based on the data carried by the perception model operation request, and determine the model operation instruction corresponding to the perception model operation request, and perform an operation on the perception model corresponding to the perception model operation request based on the model operation instruction to obtain an operation result; the unified data storage network element can generate a request response message based on the operation result, and send the request response message to the application function AF; wherein the request response message may include a response message that the operation has been completed, and may also include a response message that the operation has not been completed.

[0174] In this embodiment, by receiving a perception model operation request sent by an application function, multiple perception models stored locally in a unified data storage network element can be updated or deleted, or a new perception model can be stored locally in the unified data storage network element to achieve personalized configuration of the perception model stored in the unified data storage network element.

[0175] In one embodiment, the perceptual model operation request includes a perceptual model storage request, a perceptual model update request, a perceptual model deletion request, and a partial model operation request of the perceptual model.

[0176] Specifically, the perception model storage request is to add a perception model to the unified data storage network element, for example, the model data of the perception model carried by the perception model storage request can be added to the storage space of the unified data storage network element; the perception model update request is to update the perception model stored in the unified data storage network element, and the perception model deletion request is used to delete the perception model stored in the unified data storage network element; accordingly, the operation request for the partial model of the perception model may include a storage request for the partial model of the perception model, an update request for the partial model of the perception model, and a deletion request for the partial model of the perception model.

[0177] In this embodiment, personalized configuration of multiple perception models can be implemented in a unified data storage network element.

[0178] In one embodiment, the perceptual model operation request is a perceptual model storage request.

[0179] Accordingly, the step of “based on the perception model operation request, processing the perception model corresponding to the perception model operation request, obtaining a request response message, and sending the request response message” may include:

[0180] Based on the perception model storage request, the perception model carried by the perception model storage request is stored, a storage completion response message is obtained, and a storage completion response message is sent.

[0181] In which, in the case that the perceptual model operation request is a perceptual model storage request, the perceptual model corresponding to the perceptual model operation request may be the perceptual model carried by the perceptual model storage request.

[0182] Specifically, the unified data storage network element can determine, based on the perception model storage request sent by the application function, that the perception model corresponding to the perception model storage request is the perception model carried by the perception model storage request. In this way, the unified data storage network element can store the perception model carried by the perception model storage request in the local storage space of the unified data storage network element, thereby realizing the storage of the perception model in the unified data storage network element.

[0183] In one example, when the perceptual model operation request is a perceptual model update request, the perceptual model corresponding to the perceptual model operation request may be a perceptual model that matches the identification information of the perceptual model carried in the perceptual model update request. Specifically, the unified data storage network element may generate a model update instruction based on the perceptual model update request, and the model update instruction includes the identification information of the perceptual model to be updated and the update content. The unified data storage network element may query the corresponding perceptual model in multiple perceptual models stored locally in the unified data storage network element based on the identification information of the perceptual model to be updated, and update the queried perceptual model based on the update content to obtain an update result. Based on this, the unified data storage network element may generate a request response message based on the update result, and send the request response message to the application function.

[0184] In this embodiment, personalized configuration of multiple perception models can be achieved through data interaction between third-party application functions and unified data storage network elements.

[0185] In one embodiment, the step of “receiving a perception model operation request” may include:

[0186] Receive the perception model operation request sent by the network open function NEF.

[0187] Among them, the perception model operation request is sent by the application function AF to the network open function NEF.

[0188] Specifically, the third-party application function can send a perception model operation request to the network open function, and the network open function can send the received perception model operation request to the unified data storage network element.

[0189] In this embodiment, data interaction between third-party application functions and unified data storage network elements is achieved through network open functions, thereby realizing personalized configuration of multiple perception models.

[0190] In one embodiment, the step of "sending a request response message" may include:

[0191] The request response message is sent to the network opening function NEF, so that the network opening function NEF sends the request response message to the application function AF.

[0192] Specifically, the unified data storage network element generates a request response message based on the operation result corresponding to the perception model operation request, and sends the request response message to the network open function NEF. The network open function NEF sends the request response message to the third-party application function based on the received request response message.

[0193] In one embodiment, Figure 7 A signaling interaction flow chart of a method for determining a perception result is provided. The application scenario of this method can be that an external third-party application function provides a partial model of a split communication perception data processing model to 5GC (5G core network), and 5GC processes the perception data and obtains the perception intermediate, and feeds the obtained perception intermediate result back to the external third-party application function. Figure 7 As shown, the method includes a model storage process and a business process, and specifically includes the following steps:

[0194] Model storage process:

[0195] S1. The third-party application function AF sends a perception model request (perception model storage / update / deletion request) to the NEF; specifically, the perception model request carries the target perception model, the service type corresponding to the target perception model (such as weather monitoring, intrusion monitoring, etc.), the service requirements (accuracy, etc.), and whether the target perception model is an external split model. If it is an external split model, the target perception model can be a partial model of the perception model.

[0196] S2.NEF sends the perception model request to UDR, which perceives the model storage / update / delete request.

[0197] S3.UDR stores / updates / deletes relevant model information and generates request results.

[0198] S4.UDR returns the request result to NEF.

[0199] S5. NEF returns the request result to AF. Specifically, UDR returns the request result to AF through NEF, and the request result may include the result of storage request, the result of update request, or the result of deletion request.

[0200] Business process:

[0201] S1. AF initiates a sensing service request to SF via NEF, where the sensing service request is used to obtain a sensing intermediate result.

[0202] S2. Base station sensing process. The base station senses and obtains sensing data based on the sensing data acquisition request sent by the SF. The sensing data needs to be processed by the SF (Sensing Function, sensing network element) to obtain the sensing result.

[0203] S3.SF sends a request to split the model to the unified data storage network element. Specifically, the perception function can generate a perception model acquisition request, which is used to request a split model, which is a partial model of the perception model obtained after the perception model is split. SF requests the perception data processing model from the UDR based on the business type, business requirements, and what is needed for the perception service requested by the third-party application, as well as the perception intermediate results.

[0204] S4. UDR returns the split model to SF. Specifically, UDR queries the perception data processing split model according to the third-party application request and returns the split model to SF.

[0205] S5.SF performs perception intermediate result calculation. Specifically, the perception function processes the perception data according to the returned split model to obtain the perception intermediate result.

[0206] S6.SF opens the perception intermediate results to NEF, and returns the processed perception intermediate results to the third-party application AF through NEF.

[0207] In an example, the method for determining the perception results provided in this embodiment does not need to open the perception data obtained by base station perception to third-party applications. Based on reasons such as user data security and a large amount of perception data, the operator can enable the network element with perception function to obtain a model for generating perception intermediate results from a third-party application function, and process the perception data within the core network by generating a perception model for the perception intermediate results to obtain the perception intermediate results, which are then opened to the third-party application function.

[0208] Among them, the perception model, that is, the perception data processing model can be a data model processed by a neural network. The neural network data processing model can be layered and split, and part of the data processing model A is stored in the core network, and the other part of the data processing model B is stored in the third-party application server. In this way, the data processing model A is provided by the third-party application server, and the perception measurement data is processed (using model A) to become intermediate data. The core network opens the perception intermediate results to the third party, rather than the final perception results. Subsequently, the third-party application server processes the received perception intermediate results through model B to obtain the perception final results.

[0209] A third-party application can store / update / delete the perception data processing model to the UDR through NEF. Each perception data processing model has its corresponding perception service type and perception service requirements, as well as an identifier of whether the model is an external split model. A third-party application can store perception data processing models with different perception service requirements or different perception results of the same perception service type in the UDR, such as: processing models with different perception result accuracy rates for the same service; different processing models for the same service, such as: a complete data processing model or a split data processing model. 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 the SF (Sensing Function, perception function network element). After the SF obtains the perception data, it needs to use the perception data processing model to obtain the perception result or the perception intermediate result. The SF requests the UDR to obtain the processing model based on the service type and service requirements of the third-party application's perception service and the required perception result or perception intermediate result. The UDR returns the processing model to the SF based on the request.

[0210] After SF obtains part of the perceptual model used to generate the perceptual intermediate result, it can use the obtained model to process the perceptual data within SF to obtain the perceptual intermediate result. SF can open the perceptual intermediate result to AF through NEF.

[0211] The method for determining the perception results provided in this embodiment can be combined with the different perception result requirements of third-party application functions, so that the operator can meet the needs of third-party applications without opening the specific perception data obtained. At the same time, it can ensure the privacy and security of the operator's internal data, avoid transmitting the perception data to a third party, and do not need to consider the problem of distinguishing perception data on the user side. It can also realize the storage of split data processing models in the core network, open to third-party applications after processing, and third-party applications can continue to process on demand. The method for determining the perception results provided in this embodiment does not need to open a large amount of data to a third party. The amount of data opened is not large, but the third-party application can still continue to process on demand.

[0212] It should be understood that although Figure 1-7 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1-7At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0213] In one embodiment, Figure 8 As shown, a device 800 for determining a perception result is provided, which is applied to a network element SF having a perception function, and includes a first receiving module 802, a first generating module 804, a second receiving module 806 and a first sending module 808, wherein:

[0214] The first receiving module 802 is used to receive a sensing service request, where the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result;

[0215] A first generating module 804 is used to generate a sensing data acquisition request and a sensing model acquisition request based on the sensing service type, the sensing service requirement and the target type of the sensing result, wherein the sensing model acquisition request is used to request a partial model of the target sensing model;

[0216] The second receiving module 806 is used to receive the perception data corresponding to the perception data acquisition request, and receive a partial model of the target perception model corresponding to the perception model acquisition request;

[0217] The first sending module 808 is used to calculate the perception data based on the partial model of the target perception model, obtain the perception intermediate result, and send the perception intermediate result.

[0218] In one embodiment, the sensing result determining means comprises:

[0219] The third sending module is used to send a perception data acquisition request to the base station, so that the base station performs perception, obtains perception data matching the perception data acquisition request, and returns the perception data to the network element with perception function.

[0220] In one embodiment, the sensing result determining means comprises:

[0221] The fourth sending module is used to send a perception model acquisition request to the unified data storage UDR, so that the unified data storage UDR determines the partial model of the target perception model based on the perception service type and perception service requirements, and returns the partial model of the target perception model to the network element with perception function.

[0222] In one embodiment, the first sending module is specifically configured to:

[0223] The perception intermediate result is sent to the application function AF through the network exposure function NEF.

[0224] In one embodiment, the first sending module is further specifically configured to:

[0225] Based on the partial model in the target model, the perception data is calculated to obtain the perception intermediate result;

[0226] The perception intermediate result is sent to the application function AF through the network open function NEF, so that the application function AF processes the perception intermediate result through other parts of the target perception model except the partial model to obtain the perception final result.

[0227] In one embodiment, Fig. 9 As shown, a device 900 for determining a perception result is provided, which is applied to a unified data storage UDR, and includes a third receiving module 902, a first query module 904, and a second sending module 906, wherein:

[0228] The third receiving module 902 is used to receive a perception model acquisition request, where the perception model acquisition request is used to request a partial model of a target perception model, and the perception model acquisition request is sent by a network element with a perception function;

[0229] A first query module 904 is used to query a target perception model that matches the perception model acquisition request, and query each part included in the target perception model for a partial model that matches the perception model acquisition request;

[0230] The second sending module 906 is used to send a partial model of the target perception model to a network element with perception function.

[0231] In one embodiment, the first query module is specifically used to:

[0232] Based on the sensing service type, the sensing service requirement and the target type of the sensing result, query the target sensing model that matches the sensing model acquisition request;

[0233] Based on the perception service type, the perception service requirement and the target type of the perception result, a partial model matching the perception model acquisition request is queried among various parts included in the target perception model.

[0234] In one embodiment, the device further comprises:

[0235] A fourth receiving module is used to receive a perception model operation request, the perception model operation request carries the perception model, the business type corresponding to the perception model, the business requirement corresponding to the perception model, and the target type of the perception result output by the perception model, and the perception model operation request is used to instruct the unified data storage UDR to process the perception model;

[0236] The perception data processing module is used to process the perception model corresponding to the perception model operation request based on the perception model operation request, obtain the request response message, and send the request response message.

[0237] In one embodiment, the perception data processing module is specifically used to

[0238] Based on the perception model storage request, the perception model carried by the perception model storage request is stored, a storage completion response message is obtained, and a storage completion response message is sent.

[0239] In one embodiment, the third receiving module is specifically configured to:

[0240] Receive the perception model operation request sent by the network open function NEF, where the perception model operation request is sent by the application function AF to the network open function NEF.

[0241] In one embodiment, the fourth sending module:

[0242] The request response message is sent to the network opening function NEF, so that the network opening function NEF sends the request response message to the application function AF.

[0243] For the specific definition of the device for determining the perception result, please refer to the definition of the method for determining the perception result above, which will not be repeated here. Each module in the above-mentioned device for determining the perception result can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0244] Fig.10 It is a schematic diagram of the structure of an access network device provided by an embodiment of the present invention. Fig.10 The access network device 1000 shown includes: at least one processor 1001, a memory 1002, and at least one network interface 1004. The various components in the access network device 1000 are coupled together through a bus system 1005. It can be understood that the bus system 1005 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 1005 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, the bus system 1005 is not described in detail. Fig.10 Various buses are labeled as bus system 1005. In addition, the embodiment of the present invention also includes a transceiver 1006, which can be multiple components, that is, including a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium.

[0245] It can be understood that the memory 1002 in the embodiment of the present invention can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct RAM bus random access memory (DRRAM). The memory 1002 of the system and method described in the embodiments of the present invention is intended to include, but is not limited to, these and any other suitable types of memory.

[0246] In some implementations, the memory 1002 stores the following elements, executable modules or data structures, or their subsets, or their extensions: operating system 10021. The operating system 10021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks.

[0247] In an embodiment of the present invention, by calling the program or instructions stored in the memory 1002, the receiver is used to receive a perception service request, and the perception service request carries the perception service type, the perception service requirements, and the target type of the perception result; the processor is used to generate a perception data acquisition request and a perception model acquisition request based on the perception service type, the perception service requirements, and the target type of the perception result, and the perception model acquisition request is used to request a partial model of the target perception model; the receiver is also used to receive the perception data corresponding to the perception data acquisition request, and receive the partial model of the target perception model corresponding to the perception model acquisition request; the processor is also used to calculate the perception data based on the partial model of the target perception model, obtain the perception intermediate result, and send the perception intermediate result.

[0248] Part or all of the methods disclosed in the above embodiments of the present invention may also be applied to the processor 701, or implemented by the processor 701, or implemented by the processor 701 in cooperation with other components (such as a transceiver). The processor 701 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 701 or by instructions in the form of software. The above processor 701 may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention may be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention may be directly embodied as being executed by a hardware decoding processor, or may be executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 702, and the processor 701 reads the information in the memory 702 and completes the steps of the above method in combination with its hardware.

[0249] It is to be understood that the embodiments described in the embodiments of the present invention can be implemented by hardware, software, firmware, middleware, microcode or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application specific integrated circuits (Application Specific Integrated Circuits, ASIC), digital signal processors (Digital Signal Processing, DSP), digital signal processing devices (DSP Device, DSPD), programmable logic devices (Programmable Logic Device, PLD), field programmable gate arrays (Field-Programmable Gate Array, FPGA), general processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions of the present application or a combination thereof.

[0250] For software implementation, the technology of the embodiments of the present invention can be implemented by a module (such as a process, function, etc.) that performs the functions of the embodiments of the present invention. The software code can be stored in a memory and executed by the processor 701. The memory can be implemented in the processor 701 or outside the processor 701.

[0251] In one of the embodiments, the transmitter is specifically used to send a perception data acquisition request to the base station, so that the base station performs perception, obtains perception data matching the perception data acquisition request, and returns the perception data to the network element with perception function.

[0252] In one of the embodiments, the transmitter is specifically used to send a perception model acquisition request to the unified data storage UDR, so that the unified data storage UDR determines a partial model of the target perception model based on the perception service type and the perception service requirements, and returns the partial model of the target perception model to the network element with perception function.

[0253] In one of the embodiments, the transmitter is specifically configured to send the perception intermediate result to the application function AF via the network open function NEF.

[0254] In one of the embodiments, the processor is specifically used to: calculate the perception data based on a partial model in the target model to obtain a perception intermediate result;

[0255] The transmitter is also specifically used to send the perception intermediate result to the application function AF through the network open function NEF, so that the application function AF processes the perception intermediate result through other parts of the target perception model except the partial model to obtain the perception final result.

[0256] In an embodiment of the present invention, by calling the program or instructions stored in the memory 1002, a receiver is used to receive a perception model acquisition request, the perception model acquisition request is used to request a partial model of a target perception model, and the perception model acquisition request is sent by a network element with perception function; a processor is used to query the target perception model that matches the perception model acquisition request, and query the partial model that matches the perception model acquisition request in each part included in the target perception model; a transmitter is used to send a partial model of the target perception model to the network element with perception function.

[0257] In one of the embodiments, the processor is specifically used to: query a target perception model that matches a perception model acquisition request based on the perception service type, the perception service requirements, and the target type of the perception result; and query a partial model that matches the perception model acquisition request among various parts included in the target perception model based on the perception service type, the perception service requirements, and the target type of the perception result.

[0258] In one of the embodiments, the receiver is specifically used to receive a perception model operation request, the perception model operation request carries the perception model, the business type corresponding to the perception model, the business requirement corresponding to the perception model, and the target type of the perception result output by the perception model, and the perception model operation request is used to instruct the unified data storage UDR to process the perception model;

[0259] The processor is also specifically used to process the perception model corresponding to the perception model operation request based on the perception model operation request, obtain the request response message, and send the request response message.

[0260] In one of the embodiments, the processor is further specifically used to, based on the perception model storage request, store the perception model carried by the perception model storage request, obtain a storage completion response message, and send the storage completion response message through the transmitter.

[0261] In one of the embodiments, the receiver is further specifically used to receive a perception model operation request sent by a network open function NEF, where the perception model operation request is sent by the application function AF to the network open function NEF.

[0262] In one of the embodiments, the transmitter is specifically configured to: send a request response message to the network opening function NEF, so that the network opening function NEF sends the request response message to the application function AF.

[0263] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0264] receiving a sensing service request, the sensing service request carrying a sensing service type, a sensing service requirement, and a target type of a sensing result;

[0265] Based on the sensing service type, the sensing service requirement and the target type of the sensing result, a sensing data acquisition request and a sensing model acquisition request are generated, wherein the sensing model acquisition request is used to request a partial model of the target sensing model;

[0266] receiving the perception data corresponding to the perception data acquisition request, and receiving the partial model of the target perception model corresponding to the perception model acquisition request;

[0267] The perception data is calculated based on a partial model of the target perception model to obtain a perception intermediate result, and the perception intermediate result is sent.

[0268] The present application also provides a computer program product including instructions, which, when executed on a computer, causes the computer to perform the following steps:

[0269] receiving a sensing service request, the sensing service request carrying a sensing service type, a sensing service requirement, and a target type of a sensing result;

[0270] Based on the sensing service type, the sensing service requirement and the target type of the sensing result, a sensing data acquisition request and a sensing model acquisition request are generated, wherein the sensing model acquisition request is used to request a partial model of the target sensing model;

[0271] receiving the perception data corresponding to the perception data acquisition request, and receiving the partial model of the target perception model corresponding to the perception model acquisition request;

[0272] The perception data is calculated based on a partial model of the target perception model to obtain a perception intermediate result, and the perception intermediate result is sent.

[0273] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0274] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0275] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for determining a perception result, characterized in that: Applied to a network element with a sensing function, the method comprises: receiving a sensing service request, wherein the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result; Based on the perception service type, the perception service requirement and the target type of the perception result, a perception data acquisition request and a perception model acquisition request are generated, wherein the perception model acquisition request is used to request a partial model of the target perception model; receiving the perception data corresponding to the perception data acquisition request, and receiving a partial model of a target perception model corresponding to the perception model acquisition request; The perception data is calculated based on a partial model of the target perception model to obtain a perception intermediate result, and the perception intermediate result is sent.

2. The method according to claim 1, characterized in that After the step of generating a perception data acquisition request, the method further includes: The sensing data acquisition request is sent to a base station, so that the base station performs sensing, obtains sensing data matching the sensing data acquisition request, and returns the sensing data to the network element with sensing function.

3. The method according to claim 1, characterized in that Before the step of receiving the partial model of the target perception model corresponding to the perception model acquisition request, the method further includes: The perception model acquisition request is sent to the unified data storage UDR, so that the unified data storage UDR determines the partial model of the target perception model based on the perception service type and perception service requirements, and returns the partial model of the target perception model to the network element with perception function.

4. The method according to claim 1, characterized in that: The network element with the sensing function is a sensing function network element SF.

5. The method according to claim 1, characterized in that The sending of the perception intermediate result comprises: The perception intermediate result is sent to the application function AF through the network open function NEF.

6. The method according to claim 1, characterized in that The calculating the perception data based on the partial model of the target perception model to obtain a perception intermediate result, and sending the perception intermediate result includes: Based on a partial model in the target perception model, the perception data is calculated to obtain a perception intermediate result; The perception intermediate result is sent to the application function AF through the network open function NEF, so that the application function AF processes the perception intermediate result through other parts of the target perception model except the partial model to obtain the perception final result.

7. A method for determining a perception result, characterized in that: Applied to unified data storage UDR, the method includes: receiving a perception model acquisition request, the perception model acquisition request being used to request a partial model of a target perception model, the perception model acquisition request being sent by a network element having a perception function; Querying a target perception model that matches the perception model acquisition request, and querying, among the parts included in the target perception model, a partial model that matches the perception model acquisition request; A partial model of the target perception model is sent to the network element with perception function.

8. The method according to claim 7, characterized in that The querying of the target perception model that matches the perception model acquisition request, and querying the partial models that match the perception model acquisition request in each part included in the target perception model, include: Based on the sensing service type, the sensing service requirement, and the target type of the sensing result, querying a target sensing model that matches the sensing model acquisition request; Based on the perception service type, the perception service requirement and the target type of the perception result, a partial model matching the perception model acquisition request is queried among the parts included in the target perception model.

9. The method according to claim 7, characterized in that: The network element with the sensing function is a sensing function network element SF.

10. The method according to claim 7, characterized in that The method further comprises: Receive a perception model operation request, the perception model operation request carrying a perception model, a business type corresponding to the perception model, a business requirement corresponding to the perception model, and a target type of a perception result output by the perception model, the perception model operation request being used to instruct the unified data storage UDR to process the perception model; Based on the perceptual model operation request, the perceptual model corresponding to the perceptual model operation request is processed to obtain a request response message, and the request response message is sent.

11. The method according to claim 10, characterized in that The perceptual model operation request includes a perceptual model storage request, a perceptual model update request, a perceptual model deletion request, and a partial model operation request of the perceptual model.

12. The method according to claim 11, characterized in that The perceptual model operation request is a perceptual model storage request, and based on the perceptual model operation request, the perceptual model corresponding to the perceptual model operation request is processed to obtain a request response message, and the request response message is sent, including: Based on the perception model storage request, the perception model carried in the perception model storage request is stored, a storage completion response message is obtained, and the storage completion response message is sent.

13. The method according to claim 10, characterized in that The receiving a perception model operation request includes: A perception model operation request is received from a network open function NEF, where the perception model operation request is sent from an application function AF to the network open function NEF.

14. The method according to claim 13, characterized in that The sending of the request response message comprises: The request response message is sent to a network opening function NEF, so that the network opening function NEF sends the request response message to the application function AF.

15. A device for determining a perception result, characterized in that: Applied to a network element SF having a sensing function, the device comprises: A first receiving module is used to receive a sensing service request, where the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result; A first generating module, configured to generate a perception data acquisition request and a perception model acquisition request based on the perception service type, the perception service requirement, and the target type of the perception result, wherein the perception model acquisition request is used to request a partial model of a target perception model; A second receiving module is used to receive the perception data corresponding to the perception data acquisition request, and receive a partial model of the target perception model corresponding to the perception model acquisition request; The first sending module is used to calculate the perception data based on the partial model of the target perception model to obtain a perception intermediate result, and send the perception intermediate result.

16. A device for determining a perception result, characterized in that: Applied to unified data storage UDR, the device includes: A third receiving module is used to receive a perception model acquisition request, where the perception model acquisition request is used to request a partial model of a target perception model, and the perception model acquisition request is sent by a network element with a perception function; A first query module is used to query a target perception model that matches the perception model acquisition request, and query each part included in the target perception model for a partial model that matches the perception model acquisition request; The second sending module is used to send a partial model of the target perception model to the network element with perception function.

17. A communication device, characterized in that: include: transmitter, processor, and receiver; The receiver is used to receive a sensing service request, where the sensing service request carries a sensing service type, a sensing service requirement, and a target type of a sensing result; The processor is used to generate a perception data acquisition request and a perception model acquisition request based on the perception service type, the perception service requirement, and the target type of the perception result, wherein the perception model acquisition request is used to request a partial model of a target perception model; The receiver is further configured to receive the perception data corresponding to the perception data acquisition request, and receive a partial model of the target perception model corresponding to the perception model acquisition request; The processor is further used to calculate the perception data based on a partial model of the target perception model to obtain a perception intermediate result, and send the perception intermediate result.

18. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 14 are implemented.

19. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 14 are implemented.

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