Object identification method, perception function network element, perception equipment and object identification device

Abstract

The invention provides an object identification method, a perception function network element, perception equipment and an object identification device. The object identification method executed by the perception function network element comprises the following steps: receiving identification information of a perception object; and generating an identifier of the sensing object according to the identifier information.

Description

Technical Field

[0001] The present disclosure relates to the field of communication technology, and more specifically, to an object identification method, a perception function network element, a perception device, and an object identification apparatus. Background Art

[0002] With the continuous development of communication technology, networks often need to provide diversified sensing services and perform corresponding sensing services. Different sensing services or sensing objects may be of different types. In order to facilitate the network to manage the sensing objects, it is usually necessary to identify the sensing objects. Summary of the invention

[0003] A brief overview of the disclosure is given below in order to provide a basic understanding of some aspects of the disclosure. However, it should be understood that this overview is not an exhaustive overview of the disclosure. It is not intended to identify the key or important parts of the disclosure, nor is it intended to limit the scope of the disclosure. Its purpose is simply to give some concepts of the disclosure in a simplified form as a prelude to a more detailed description given later.

[0004] One of the objectives of the present disclosure is to provide an object identification method, a perception function network element, a perception device and an object identification apparatus.

[0005] According to a first aspect of the present disclosure, there is provided an object recognition method performed by a perception function network element, wherein the object identification method comprises: receiving identification information of a perception object; and generating an identification of the perception object according to the identification information.

[0006] In some embodiments, the identification information includes at least one of perception feature information, perception object type information, enterprise or service provider information, and perception area information.

[0007] In some embodiments, receiving identification information of a perception object includes: receiving first identification information of the perception object sent by a perception device; and / or receiving second identification information of the perception object sent by an application function network element.

[0008] In some embodiments, receiving the second identification information of the perception object sent by the application function network element includes: receiving a registration request message sent by the application function network element requesting to register the perception object, wherein the registration request message includes the second identification information.

[0009] In some embodiments, the object identification method includes: upon receiving the registration request message, sending a sensing request message to the sensing device to sense the sensing object, so as to instruct the sensing device to sense the sensing object.

[0010] In some embodiments, the second identification information includes partial information among the perception feature information, perception object type information, enterprise or service provider information and perception area information, and the first identification information includes other information among the perception feature information, perception object type information, enterprise or service provider information and perception area information except the partial information.

[0011] In some embodiments, the object identification method includes: sending information related to the perceived object to a network open function network element, so that the network open function network element opens the information related to the perceived object when predetermined conditions are met, wherein the information related to the perceived object includes the identification of the perceived object.

[0012] In some embodiments, the predetermined condition includes: the perception object is associated with a preset perception service; and / or the perception object is associated with a preset perception scene.

[0013] In some embodiments, the information related to the perceived object also includes the identification information.

[0014] In some embodiments, the identifier includes a temporary identifier and a long-term identifier, wherein the temporary identifier changes as the perception area information of the perception object changes, and the long-term identifier does not change as the perception area information of the perception object changes.

[0015] In some embodiments, the object identification method further includes: in response to a change in the perception area information of the perception object, updating the temporary identification according to the current perception area information of the perception object.

[0016] In some embodiments, the temporary identifier includes: an in-network identifier used in the current operator network and not open to the outside; and / or a universal identifier used to be opened to an application function network element through a network open function network element.

[0017] According to a second aspect of the present disclosure, there is provided an object identification method performed by a perception device, wherein the object identification method comprises: perceiving a perception object to obtain first identification information of the perception object; and sending the first identification information to a perception function network element so that the perception function network element generates an identification of the perception object according to the first identification information.

[0018] In some embodiments, sensing the sensing object is performed when the sensing object enters a sensing range of the sensing device.

[0019] In some embodiments, the perception of the perception object is performed upon receiving a perception request message, wherein the perception request message is sent by the perception function network element upon receiving a registration request message for registering the perception object sent by an application function network element.

[0020] According to a third aspect of the present disclosure, an object identification method is provided, wherein the object identification method comprises: a perception device perceives a perception object to obtain first identification information of the perception object; the perception device sends the first identification information to a perception function network element; and the perception function network element generates an identification of the perception object based on the first identification information.

[0021] According to a fourth aspect of the present disclosure, a perception function network element is provided, wherein the perception function network element comprises: a receiving module, the receiving module is configured to receive identification information of a perception object; and a generating module, the generating module is configured to generate an identification of the perception object according to the identification information.

[0022] According to a fifth aspect of the present disclosure, a perception device is provided, wherein the perception device comprises: a perception module, which is configured to perceive a perception object to obtain first identification information of the perception object; and a sending module, which is configured to send the first identification information to a perception function network element, so that the perception function network element generates an identification of the perception object according to the first identification information.

[0023] According to a sixth aspect of the present disclosure, an object identification apparatus is provided, wherein the object identification apparatus comprises: the perception function network element as described above; and the perception device as described above.

[0024] According to a seventh aspect of the present disclosure, an object identification device is provided, wherein the object identification device comprises a processor and a memory, the memory stores instructions, and when the instructions are executed by the processor, the steps of the object identification method as described above are implemented.

[0025] According to an eighth aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, on which instructions are stored. When the instructions are executed by a processor, the steps of the object recognition method described above are implemented.

[0026] According to a ninth aspect of the present disclosure, a computer program product is provided, comprising instructions, which, when executed by a processor, implement the steps of the object recognition method described above.

[0027] Other features and advantages of the present disclosure will become more apparent from the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings, which constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0029] The present disclosure may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0030] Figure 1 A schematic diagram showing a flow chart of an object recognition method according to an exemplary embodiment of the present disclosure is shown;

[0031] Figure 2 A schematic diagram showing identification information according to an exemplary embodiment of the present disclosure;

[0032] Figure 3 A schematic diagram of the structure of a perception function network element according to an exemplary embodiment of the present disclosure is shown;

[0033] Figure 4 A schematic flow chart of an object recognition method according to another exemplary embodiment of the present disclosure is shown;

[0034] Figure 5 A schematic diagram of the structure of a sensing device according to an exemplary embodiment of the present disclosure is shown;

[0035] Figure 6 A schematic flow chart of an object recognition method according to another exemplary embodiment of the present disclosure is shown;

[0036] Figure 7 A schematic diagram of a network architecture according to an exemplary embodiment of the present disclosure is shown;

[0037] Figure 8 A schematic diagram of a process of identifying a perception object initiated by a perception device according to an exemplary embodiment of the present disclosure is shown;

[0038] Fig. 9 A schematic diagram of a process of identifying a perception object initiated by an application function network element according to an exemplary embodiment of the present disclosure is shown;

[0039] Fig.10 A schematic diagram of a process of opening information related to a perception object according to an exemplary embodiment of the present disclosure is shown;

[0040] Fig.11 A schematic structural diagram of an object identification device according to an exemplary embodiment of the present disclosure is shown;

[0041] Fig.12 A schematic structural diagram of an object identification device according to an exemplary embodiment of the present disclosure is shown.

[0042] Note that in the embodiments described below, the same reference numerals are sometimes used in common between different drawings to represent the same parts or parts with the same functions, and their repeated descriptions are omitted. In this specification, similar reference numerals and letters are used to represent similar items, so once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0043] For ease of understanding, the positions, sizes, and ranges of various structures shown in the drawings and the like sometimes do not represent actual positions, sizes, and ranges, etc. Therefore, the disclosed invention is not limited to the positions, sizes, and ranges, etc. disclosed in the drawings and the like. In addition, the drawings are not necessarily drawn to scale, and some features may be exaggerated to show details of specific components. DETAILED DESCRIPTION

[0044] Various exemplary embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure.

[0045] The following description of at least one exemplary embodiment is in fact merely illustrative and is in no way intended to limit the present disclosure and its application or use. That is, the structures and methods herein are shown in an exemplary manner to illustrate different embodiments of the structures and methods in the present disclosure. However, those skilled in the art will appreciate that they merely illustrate exemplary ways of the present disclosure that can be implemented, rather than exhaustive ways. In addition, the drawings need not be drawn to scale, and some features may be enlarged to illustrate the details of specific components.

[0046] Technologies, methods, and apparatus known to ordinary technicians in the relevant field may not be discussed in detail, but where appropriate, such technologies, methods, and apparatus should be considered part of the authorization specification.

[0047] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0048] With the rapid development of information technology, the perception services and perception businesses provided by the network are becoming more and more diverse. Unlike traditional network communication services, which are targeted at objects that usually have the ability to access the network, the perception services and perception businesses target perception objects that do not necessarily have the ability to access the network and the communication capabilities, such as mobile electronic devices that cannot access the network because they do not have SIM cards, or people, animals, plants, etc., or vehicles or aircraft that cannot connect to the network.

[0049] For the network and operators, if the sensing objects cannot access the network, it is usually difficult for the network to effectively identify and label these sensing objects, making it difficult to effectively manage these sensing objects and provide continuous services.

[0050] In order to solve the above problems, the present disclosure proposes an object identification method, which generates an identification (Identification, ID) for the perception object through the identification information of the perception object. The network can identify the perception object that does not have the ability to access the network without the perception object having the ability to access the network, thereby enabling the network to manage the perception objects more finely and better provide continuous perception services.

[0051] According to one aspect of the present disclosure, an object identification method 100 that can be performed by a sensing function (SF) is provided, such as Figure 1 As shown, according to an exemplary embodiment of the present disclosure, an object identification method 100 may include:

[0052] Step S110, receiving identification information of a sensing object;

[0053] Step S120: Generate an identification of the perception object according to the identification information.

[0054] In some embodiments, the identification information may include at least one of perception feature information, perception object type information, enterprise or service provider information, and perception area information. Figure 2 As shown, the identification information of the sensed object may include sensed feature information, sensed object type information, enterprise or service provider information, and sensed area information. The more information included in the identification information, the better the sensed object can be identified, thereby better managing the sensed object.

[0055] The perception feature information may indicate the perception feature of the perception object, or may indicate the feature value of the perception feature of the perception object. In some embodiments, the perception feature of the perception object may be identified by the perception device through the perception capability, for example, a waveform feature similar to a reflection waveform feature obtained through radar perception.

[0056] The sensed object type information may indicate the type of the sensed object, such as an animal, plant, person, vehicle, aircraft, or other object type.

[0057] The enterprise or service provider information may indicate the enterprise or service provider information to which the perception object belongs. Since some perception objects may not have networking capabilities, in some embodiments, the enterprise or service provider information of the perception object may be provided by the requester of the perception service, for example, by the application function (AF) network element, or may be obtained based on the relevant authentication and authorization information of the AF network element. The AF network element may be the requester of the perception service, for example, it may be a relevant third-party server in the data network (DN).

[0058] The perception area information may indicate the perception area where the perception object is located when it is first perceived by the network or may indicate the perception area where the perception object is currently located, wherein the perception area may be a certain location range where the perception object is located or may be a specific location where the perception object is located.

[0059] In some embodiments, the identification information received by the SF network element may include the first identification information of the perception object sent by the perception device. The perception device may obtain the first identification information of the perception object by perceiving the perception object, and send the first identification information to the SF network element. Alternatively, in some embodiments, the identification information received by the SF network element may include the second identification information of the perception object sent by the AF network element. The AF network element may request the SF network element to register the perception object, and provide the SF network element with the second identification information of the perception object. For example, the AF network element may send a registration request message to the SF network element requesting the registration of the perception object, and carry the second identification information of the perception object in the registration request message, so that the SF network element registers the perception object.

[0060] In some embodiments, the sensing device may sense the sensing object when the sensing object enters the sensing range of the sensing device. In other words, the sensing device may be autonomously triggered to sense the sensing object. The business scenarios targeted by the sensing device may be, for example, scene monitoring, such as drone monitoring, airport monitoring, and other scenarios that require monitoring of legal (authorized) objects and illegal (unauthorized) objects. When these objects enter the sensing range of the sensing device, the sensing device may sense these objects to obtain corresponding identification information. Then, the SF network element may generate an ID of the sensing object based on the first identification information obtained by the autonomous triggering of the sensing device, that is, the identification of the sensing object may be initiated by the sensing device. In a specific example, when the sensing device autonomously triggers the sensing of the sensing object, a default value may be assigned to the enterprise or service provider information in the identification information of the sensing object, or a corresponding value may be assigned to the enterprise or service provider information based on the sensing feature information of the sensing object.

[0061] In some embodiments, when the SF network element receives a registration request message carrying the second identification information from the AF network element, it can generate the ID of the perception object based on the second identification information, that is, the identification of the perception object can be initiated by the AF network element. In some embodiments, when the SF network element receives a registration request message from the AF network element, it can send a perception request message to the perception device to perceive the perception object to instruct the perception device to perceive the perception object, that is, the perception of the perception object by the perception device can be triggered by the AF network element initiating a request to register the perception object. Then, the SF network element can generate the ID of the perception object based on the first identification information obtained by instructing the perception device to perceive and the second identification information provided by the AF.

[0062] The first identification information may include at least one of the perception feature information, the perception object type information, the enterprise or service provider information, and the perception area information. The second identification information may include at least one of the perception feature information, the perception object type information, the enterprise or service provider information, and the perception area information. In a specific example, the second identification information may include part of the perception feature information, the perception object type information, the enterprise or service provider information, and the perception area information. For example, the second identification information from the AF network element may include the enterprise or service provider information of the perception object; the first identification information may include other information other than part of the perception feature information, the perception object type information, the enterprise or service provider information, and the perception area information. For example, the first identification information from the perception device may include the perception feature information, the perception object type information, and the perception area information. In this way, the SF network element may request the corresponding perception device to perceive the perception object when obtaining the identification information of some types of the perception object sent by the AF network element, so as to obtain more types of identification information of the perception object, so as to better perceive the object for identification.

[0063] According to the needs of actual business deployment, the ID of the perception object can be opened so that other network elements of the core network or network elements outside the core network can obtain the ID of the perception object, so as to provide more flexible services, make the overall perception business more flexible and diverse, and lay the foundation for the operator network to conduct deeper mining of the corresponding perception business. In some embodiments, information related to the perception object can be sent to the Network Exposure Function (NEF) network element so that the NEF network element can open the information related to the perception object when predetermined conditions are met, wherein the information related to the perception object can include the ID of the perception object generated by the SF network element according to the identification information of the perception object. Thus, the ID of the perception object can be opened through the NEF network element.

[0064] In some embodiments, the information related to the perception object may also include identification information of the perception object. The SF network element may send the identification information of the perception object to the NEF network element, so that the NEF network element opens the identification information of the perception object when a predetermined condition is met, thereby enabling other network elements of the core network or network elements outside the core network to obtain more information about the perception object as needed, thereby better deploying services and providing services.

[0065] In some embodiments, the predetermined condition may include that the sensing object is associated with a preset sensing service. For example, in the case where the sensing object is associated with a specific sensing service initiated by the AF network element, the NEF network element may open information related to the sensing object. Alternatively, in some embodiments, the predetermined condition may include that the sensing object is associated with a preset sensing scene. For example, in the case where the sensing object is associated with a concert scene, the NEF network element may open information related to the sensing object.

[0066] In some embodiments, the ID of the sensing object may include a temporary ID and a long-term ID. The temporary ID changes as the sensing area information of the sensing object changes, and the long-term ID does not change as the sensing area information of the sensing object changes. The SF network element may determine whether to generate a temporary ID or a long-term ID for the sensing object as needed. For example, the SF network element may determine whether to generate a temporary ID according to whether it is necessary to carry the current sensing area information of the sensing object. In some embodiments, the temporary ID may carry the current sensing area information of the sensing object. The long-term ID may not carry the sensing area information where the sensing object is located, or the long-term ID may carry the sensing area information where the sensing object is located when it is first sensed. In the case where the sensing area where the sensing object is located has not changed, the temporary ID of the sensing object may not change. In the case where the sensing area where the sensing object is located has changed, the temporary ID of the sensing object may change, and the long-term ID of the sensing object may not change. In a specific example, the SF network element may update the temporary ID of the sensing object according to the current sensing area information of the sensing object. For example, if a sensing object moves from a concert scene to another concert scene, and the sensing area where it is located also changes accordingly, the temporary ID of the sensing object may be updated according to the current sensing area information of the sensing object. In this way, after the sensing object moves to a new sensing area, the network can assign a new ID to the sensing object and carry the new sensing area information. The ID of the sensing object can carry the mobility information of the sensing object, which facilitates the subsequent mobility management of the sensing service and the disclosure of related information.

[0067] According to the usage scenario of the temporary ID, there may be a corresponding temporary ID. In some embodiments, the temporary ID may include an intra-network ID for use within the current operator network and not open to other networks except the current operator network. The intra-network ID can generally be used for communication and collaboration between SF network elements and sensing devices. For example, when a sensing object needs to be sensed by multiple base stations or user terminals, the SF network element can enable each base station or user terminal to collaborate on the corresponding sensing object based on the intra-network ID of the sensing object to maintain the continuity and consistency of the sensing service. In some embodiments, the temporary ID may include a universal ID for opening to the AF network element through the NEF network element. The universal ID generated by the SF network element can be opened to the authorized AF network element outside the core network for use and acquisition through the NEF network element. In some embodiments, the universal ID can carry the identification information of the sensing object, so that the AF network element can also obtain the corresponding identification information of the sensing object when receiving the universal ID, so as to realize diversified services for the sensing object based on the rich functions of the third-party platform, for example, realizing smart city, smart home, health monitoring and other services.

[0068] Long-term ID is also called permanent ID or semi-permanent ID. As mentioned above, long-term ID may not carry dynamic perception area information (i.e., it does not carry the perception area information where the perception object is located, or it only carries the perception area information where the perception object is located when it is first perceived). In some embodiments, the long-term ID of the perception object can be opened to the outside of the core network via the NEF network element. In some embodiments, the long-term ID of the perception object can also be opened to other operator networks, so that the perception service about the perception object can be collaboratively executed between multiple operator networks.

[0069] According to another aspect of the present disclosure, a SF network element is also provided. Figure 3 As shown, the SF network element 300 according to an exemplary embodiment of the present disclosure may include a receiving module 310 and a generating module 320. The receiving module 310 may be configured to receive identification information of a sensing object. The generating module 320 may be configured to generate an ID of the sensing object according to the identification information.

[0070] The SF network element 300 may be configured to execute the object identification method 100 executable by the SF network element as described in any of the foregoing embodiments, and may have a corresponding execution module. For example, the SF network element 300 may further include a sending module, wherein the sending module may be configured to send information related to the perceived object to the NEF network element, so that the NEF network element opens the information related to the perceived object when a predetermined condition is met.

[0071] According to another aspect of the present disclosure, an object identification method 400 that can be performed by a sensing device is provided. Figure 4As shown, according to an exemplary embodiment of the present disclosure, an object identification method 400 may include:

[0072] Step S410, sensing the sensing object to obtain first identification information of the sensing object; and

[0073] Step S420: Send the first identification information to the perception function network element, so that the perception function network element generates an identification of the perception object according to the first identification information.

[0074] The sensing device may be a device with sensing capability under the management of the Radio Access Network (RAN). The sensing device is the executor of the corresponding sensing service, responsible for executing the specific sensing service and collecting the sensing results and original sensing data. In some embodiments, the sensing device may be a base station or a user terminal with sensing capability.

[0075] In some embodiments, the sensing object is sensed when the sensing object enters the sensing range of the sensing device, that is, the sensing device may sense the sensing object autonomously. Alternatively, in some embodiments, the sensing device may sense the sensing object when receiving a sensing request message, which is sent by the SF network element when receiving a registration request message for registering the sensing object sent by the AF network element, that is, the sensing device may sense the sensing object when the AF network element initiates a request to register the sensing object.

[0076] In addition, some embodiments of the object identification method 400 may refer to some embodiments of the above object identification method 100, which will not be described in detail here.

[0077] According to another aspect of the present disclosure, a sensing device is also provided. Figure 5 As shown, a sensing device 500 according to an exemplary embodiment of the present disclosure may include a sensing module 510 and a sending module 520. The sensing module 510 may be configured to sense a sensing object to obtain first identification information of the sensing object. The sending module 520 may be configured to send the first identification information to the SF network element so that the SF network element generates an ID of the sensing object according to the first identification information.

[0078] The perception device 500 may be configured to execute the object recognition method 400 executable by the perception device described in any of the foregoing embodiments, and may have a corresponding execution module. For example, the perception device 500 may also include a receiving module, wherein the receiving module 510 may be configured to receive a perception request message from the SF network element, and the perception module may be configured to perceive the perception object in response to the receiving module receiving the perception request message.

[0079] According to another aspect of the present disclosure, a method for object identification is also provided. Figure 6 As shown, according to an exemplary embodiment of the present disclosure, an object identification method 600 may include:

[0080] Step S610: The sensing device senses the sensing object to obtain first identification information of the sensing object;

[0081] Step S620, the sensing device sends the first identification information to the sensing function network element; and

[0082] Step S630: The perception function network element generates an identifier of the perception object according to the first identifier information.

[0083] The following combination Figures 7 to 10 Some embodiments of the object identification method 600 of the present disclosure are described.

[0084] Figure 7 A schematic diagram of a network architecture according to an exemplary embodiment of the present disclosure is shown. Figure 8 FIG. 2 shows a schematic diagram of a process of identifying a sensing object initiated by a sensing device. Figure 7 and Figure 8 As shown, the object identification method 600 may include steps S810 to S840.

[0085] At step S810 , when the perception object 710 enters the perception range of the perception device 500 , the perception device 500 triggers an identification process for the perception object 710 .

[0086] At step S820, the sensing device 500 senses and captures the sensing object 710 to obtain relevant information and sensing feature information of the sensing object 710. Here, the relevant information of the sensing object 710 obtained by the sensing device 500 may include at least one of the sensing object type information and the sensing area information of the sensing object 710.

[0087] At step S830 , after acquiring relevant information and perception feature information of the perception object 710 , the perception device 500 reports the collected information to the SF network element 300 and requests the SF network element 300 to register the perception object 710 .

[0088] At step S840, after receiving the information and request reported by the sensing device 500, the SF network element 300 generates a corresponding ID according to the ID design and rules and registers the sensing object 710. The ID design and rules may be, for example, pre-defined preset conditions for generating a temporary ID or a long-term ID.

[0089] Fig. 9FIG. 2 shows a schematic diagram of a process of identifying a sensing object initiated by an AF network element. Figure 7 and Fig. 9 As shown, the object identification method 600 may include steps S910 to S940.

[0090] At step S910, the AF network element 720 requests the network (e.g., the SF network element 300) to register the sensed object 710 according to actual business needs, and provides the SF network element 300 with relevant information of the sensed object 710. Here, the relevant information of the sensed object 710 provided by the AF network element 720 may include at least one of sensed feature information of the sensed object 710, enterprise or service provider information (e.g., information related to the AF network element 720), sensed area information, and sensed object type information.

[0091] In step S920 , after acquiring relevant information provided by the AF network element 720 , the sensing device 500 senses and captures the sensing object 710 .

[0092] At step S930 , the sensing device 500 uploads the relevant information of the sensed and captured sensed object 710 to the SF network element 300 , and reports the sensing result in response to the request of the AF network element 720 to the SF network element 300 .

[0093] In step S940, the SF generates and manages the ID of the sensing object 710 based on the relevant information provided by the AF network element 720 and the relevant information provided by the sensing device 500.

[0094] Fig.10 A schematic diagram of the process of opening information related to a sensing object is shown. Figure 7 and Fig.10 As shown, the object identification method 600 may include steps S1010 to S1030.

[0095] At step S1010 , the SF network element 300 generates a corresponding ID for the sensing object 710 .

[0096] At step S1020, the SF network element 300 sends the information related to the sensing object 710 (without affecting the privacy and information security of the sensing object 710) to the NEF. Here, the information related to the sensing object 710 sent by the SF network element 300 includes at least one of the ID of the sensing object 710, sensing feature information, sensing object type information, enterprise or service provider information, and sensing area information.

[0097] At step S1030, the NEF network element 730 opens to the outside information related to the sensing object 710 according to the actual sensing capability and service deployment. In a specific example, when the sensing object 710 is associated with a specific sensing service or sensing scene, the ID of the sensing object 710 can be included in the information of the sensing service or sensing scene for opening.

[0098] According to another aspect of the present disclosure, there is also provided an object identification device, such as Fig.11 As shown, according to an exemplary embodiment of the present disclosure, an object identification apparatus 1100 may include a perception function network element 300 and a perception device 500 .

[0099] The interaction between the perception function network element 300 and the perception device 500 can be referred to above and will not be elaborated here.

[0100] According to another aspect of the present disclosure, an object identification device is also provided. Fig.11 As shown, in an exemplary embodiment of the present disclosure, the object identification device 1200 may include a processor 1210 and a memory 1220. The memory 1220 stores instructions, which, when executed by the processor 1210, implement the steps of the object identification method described in any of the foregoing embodiments of the present disclosure.

[0101] The processor 1210 may be an integrated circuit chip having signal processing capabilities. The processor may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component to implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present disclosure. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc., and may be an X86 architecture or an ARM architecture, etc.

[0102] The memory 1220 may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory may 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 may 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), synchronously connected dynamic random access memory (SLDRAM), and direct memory bus random access memory (DRRAM). It should be noted that the memory described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0103] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, on which instructions are stored. When the instructions are executed, the steps of the object recognition method described in any of the foregoing embodiments of the present disclosure can be implemented.

[0104] Similarly, the non-transitory computer-readable storage medium in the embodiments of the present disclosure may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. It should be noted that the non-transitory computer-readable storage medium described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0105] According to another aspect of the present disclosure, a computer program product is further provided. The computer program product includes a computer program. When the computer program is executed by a processor, the steps of the object recognition method described in any of the foregoing embodiments of the present disclosure can be implemented.

[0106] Instructions can be any set of instructions to be executed directly by one or more processors, such as machine code, or any set of instructions to be executed indirectly, such as a script. The terms "instructions", "applications", "processes", "steps" and "programs" (including "computer programs") herein are used interchangeably herein. Instructions can be stored in an object code format for direct processing by one or more processors, or stored as any other computer language, including scripts or collections of independent source code modules that are interpreted on demand or compiled in advance. Other parts of this article explain the functions, methods and routines of instructions in more detail.

[0107] In the technical solution of the present disclosure, an ID is generated for the perception object based on the identification information of the perception object, so that the network can recognize and identify the perception objects (such as people, animals, vehicles, aircraft, etc.) that do not have the ability to connect to the Internet. The present disclosure proposes design and deployment methods related to the ID of the perception object (such as temporary ID and permanent ID schemes, deployment methods for in-network use and external opening), so that the network can achieve information diversification and effectively manage the perception objects on the basis of being able to identify the perception objects. In addition, according to the solution of the present disclosure, on the basis of effectively identifying the perception objects, the relevant information of the perception objects is opened to the outside of the network through the NEF network element, so that the network can provide more diversified services and deploy more diverse perception services.

[0108] As used herein, the word "exemplary" means "serving as an example, instance, or illustration" rather than as a "model" to be exactly copied. Any implementation described as an example herein is not necessarily to be construed as preferred or advantageous over other implementations. Furthermore, the present disclosure is not to be limited by any expressed or implied theory given in the technical field, background, summary, or detailed description.

[0109] As used herein, the term "substantially" is intended to include any minor variations due to design or manufacturing imperfections, device or component tolerances, environmental influences, and / or other factors. The term "substantially" also allows for deviations from a perfect or ideal situation due to parasitic effects, noise, and other practical considerations that may exist in actual implementations.

[0110] In addition, the terms "first", "second" and the like may also be used herein for reference purposes only and are not intended to be limiting. For example, the terms "first", "second" and other such numerical terms referring to structures or elements do not imply a sequence or order unless the context clearly indicates otherwise.

[0111] It should also be understood that when the term “include / comprises” is used in this document, it indicates the presence of the specified features, integers, steps, operations, units and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, units and / or components and / or their combinations.

[0112] In this disclosure, the term "provide" is used in a broad sense to cover all ways of obtaining an object, and thus "providing an object" includes but is not limited to "purchasing", "preparing / manufacturing", "arranging / setting up", "installing / assembling", and / or "ordering" an object, etc.

[0113] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items. The terms used herein are for the purpose of describing specific embodiments only and are not intended to limit the present disclosure. As used herein, the singular forms "a", "an", and "the" are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0114] Those skilled in the art will appreciate that the boundaries between the above operations are merely illustrative. Multiple operations can be combined into a single operation, a single operation can be distributed in additional operations, and operations can be performed at least partially overlapping in time. Moreover, alternative embodiments may include multiple instances of a specific operation, and the order of operations may be changed in various other embodiments. However, other modifications, variations, and replacements are equally possible. Aspects and elements of all embodiments disclosed above may be combined in any manner and / or in combination with aspects or elements of other embodiments to provide multiple additional embodiments. Therefore, this specification and accompanying drawings should be considered illustrative, not restrictive.

[0115] Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. The various embodiments disclosed herein may be combined in any manner without departing from the spirit and scope of the present disclosure. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. An object identification method, characterized in that: The object identification method is performed by a perception function network element, and the object identification method includes: Receiving identification information of a sensed object; and An identification of the perceived object is generated according to the identification information.

2. The object identification method according to claim 1, characterized in that: The identification information includes at least one of perception feature information, perception object type information, enterprise or service provider information, and perception area information.

3. The object identification method according to claim 1, characterized in that: The identification information of the received perception object includes: Receiving first identification information of the sensing object sent by the sensing device; and / or Receive second identification information of the perception object sent by the application function network element.

4. The object identification method according to claim 3, characterized in that: Receiving the second identification information of the perception object sent by the application function network element includes: A registration request message sent by an application function network element to request registration of the perception object is received, wherein the registration request message includes the second identification information.

5. The object identification method according to claim 4, characterized in that: The object identification method comprises: In case of receiving the registration request message, a sensing request message for sensing the sensing object is sent to the sensing device to instruct the sensing device to sense the sensing object.

6. The object identification method according to claim 4, characterized in that: The second identification information includes part of the sensing feature information, the sensing object type information, the enterprise or service provider information and the sensing area information. The first identification information includes other information of the perception feature information, the perception object type information, the enterprise or service provider information and the perception area information except the partial information.

7. The object identification method according to claim 1, characterized in that: The object identification method comprises: The information related to the perception object is sent to a network open function network element, so that the network open function network element opens the information related to the perception object when a predetermined condition is met, wherein the information related to the perception object includes an identifier of the perception object.

8. The object identification method according to claim 7, characterized in that: The predetermined conditions include: The sensing object is associated with a preset sensing service; and / or The perception object is associated with a preset perception scene.

9. The object identification method according to claim 7, characterized in that: The information related to the perceived object also includes the identification information.

10. The object identification method according to claim 1, characterized in that: The identifier includes a temporary identifier and a long-term identifier, wherein the temporary identifier changes as the perception area information of the perception object changes, and the long-term identifier does not change as the perception area information of the perception object changes.

11. The object identification method according to claim 10, characterized in that: The object identification method further includes: In response to a change in the perception area information of the perception object, the temporary identifier is updated according to the current perception area information of the perception object.

12. The object identification method according to claim 10, characterized in that: The temporary identification includes: In-network identifier used within the current operator's network and not open to the public; and / or A universal identifier used to be opened to application function network elements through network open function network elements.

13. An object identification method, characterized in that: The object identification method is performed by a sensing device, and the object identification method includes: sensing an object to obtain first identification information of the object; and The first identification information is sent to the perception function network element, so that the perception function network element generates the identification of the perception object according to the first identification information.

14. The object identification method according to claim 13, characterized in that: The sensing object is sensed when the sensing object enters the sensing range of the sensing device.

15. The object identification method according to claim 14, characterized in that: The perception of the perception object is performed when a perception request message is received, wherein the perception request message is sent by the perception function network element when a registration request message for registering the perception object is received from the application function network element.

16. An object identification method, characterized in that: The object identification method comprises: The sensing device senses the sensing object to obtain first identification information of the sensing object; The sensing device sends the first identification information to a sensing function network element; and The perception function network element generates an identifier of the perception object according to the first identifier information.

17. A perception function network element, characterized in that: The perception function network element includes: A receiving module, wherein the receiving module is configured to receive identification information of a sensing object; and A generation module is configured to generate an identification of the perceived object according to the identification information.

18. A sensing device, characterized in that: The sensing device comprises: a perception module, wherein the perception module is configured to perceive a perception object to obtain first identification information of the perception object; and A sending module, wherein the sending module is configured to send the first identification information to a perception function network element, so that the perception function network element generates an identification of the perception object according to the first identification information.

19. An object identification device, characterized in that: The object identification device comprises: The perception function network element according to claim 17; and The sensing device of claim 18.

20. An object identification device, characterized in that: The object identification device comprises a processor and a memory, wherein instructions are stored in the memory, and when the instructions are executed by the processor, the steps of the object identification method according to any one of claims 1 to 16 are implemented.

21. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores instructions, and when the instructions are executed, the steps of the object identification method according to any one of claims 1 to 16 are implemented.

22. A computer program product, characterized in that The computer program product comprises instructions, and when the instructions are executed by a processor, the steps of the object identification method according to any one of claims 1 to 16 are implemented.

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