Sensing equipment selection method and device, computer equipment and storage medium

By utilizing grid information and device location information in the 5G sensing network to select target sensing devices, the problem of resource waste and power consumption caused by inaccurate selection of sensing devices is solved, and efficient device selection is achieved.

CN120935524APending Publication Date: 2025-11-11CHINA TELECOM CORP LTD TECHNOLOGY INNOVATION CENTER +1
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Patent Information

Application Number
CN202511139493.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-14
Publication Date
2025-11-11

AI Technical Summary

Technical Problem

In 5G sensing networks, how to accurately select sensing devices to avoid wasting air interface resources and increasing equipment power consumption is a key issue.

Method used

By determining the grid information of the sensing task area, and based on the grid information and the location information of candidate sensing devices, the target sensing device is selected from the candidate sensing devices.

Benefits of technology

It enables precise selection of appropriate target sensing devices, avoiding waste of air interface resources and power consumption of sensing devices.

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Abstract

The invention discloses a sensing equipment selection method and device, computer equipment and a storage medium. The method belongs to the technical field of mobile communication, and specifically comprises the following steps: responding to a perception task request carrying a perception task area sent by a demand network element, and determining grid information corresponding to the perception task area; and selecting target sensing equipment from the candidate sensing equipment based on the grid information and / or the position information of the candidate sensing equipment. According to the invention, after the sensing task request is received, the target sensing device can be accurately selected from the candidate sensing devices according to the grid information corresponding to the sensing task area in the sensing task request and / or the position information of the candidate sensing devices, so that the appropriate target sensing device can be finely selected for the sensing task; and air interface resource waste and electric energy consumption of sensing equipment are avoided.
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Description

Technical Field

[0001] This application relates to the field of mobile communication technology, specifically to a sensing device selection method, apparatus, computer equipment, and storage medium. Background Technology

[0002] The networking architecture of 5G sensing networks (such as...) Figure 1 As shown, the SF (Sensing Function) network element is divided into two parts: the control plane SF-C network element and the user plane SF-U network element. The SF network element can communicate with each network element in the 5GC (5G Core Network) and can also directly connect to the RAN (Radio Access Network) to obtain sensing data from the RAN or UE (User Equipment).

[0003] In 5G sensing networks, user equipment (UEs) can act as sensing devices, detecting other targets, acquiring sensing data, and reporting it to SF network elements. However, most UEs acting as sensing devices are mobile, and their locations change in real time. Sensing tasks are performed on a region-by-region basis, requiring only the selection of sensing devices within the corresponding area, thus avoiding waste of air interface resources and equipment power consumption. Therefore, how to accurately select sensing devices is a crucial problem that urgently needs to be solved. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, and storage medium for accurately selecting sensing devices to address the aforementioned technical problems.

[0005] Firstly, this application provides a sensing device selection method applied to SF network elements, the method comprising:

[0006] In response to a sensing task request sent by a network element carrying a sensing task area, determine the grid information corresponding to the sensing task area.

[0007] Based on grid information and / or the location information of candidate sensing devices, select the target sensing device from the candidate sensing devices.

[0008] In one embodiment, the grid information includes at least one of the following: grid identifier, grid center coordinates, grid shape, and grid size.

[0009] In one embodiment, selecting a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices includes:

[0010] Send grid information to the target device; where the target device is a candidate sensing device or an LMF network element;

[0011] If the grid information is successfully sent, a device grid acquisition request is sent to the target device; wherein, the device grid acquisition request is used to instruct the target device to determine the grid identifier of the current grid of the candidate sensing device based on the location information and grid information of the candidate sensing device;

[0012] Receive a device grid acquisition response message sent by the target device; wherein the device grid acquisition response message carries at least the grid identifier of the grid in which the candidate sensing device is currently located;

[0013] The target sensing device is selected from the candidate sensing devices based on the grid information and the grid identifier of the current grid in which the candidate sensing device is located.

[0014] In one embodiment, the device grid acquisition request carries at least one of a device identifier, a request type, and a request content; the request content includes the grid identifier and a timestamp.

[0015] In one embodiment, the device grid acquisition request is further used to instruct the target device to report grid change information to the SF network element when the grid where the candidate sensing device is currently located changes; wherein, the grid change information includes the grid identifier of the changed grid, the device identifier of the candidate sensing device, and a timestamp.

[0016] In one embodiment, selecting a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices includes:

[0017] Based on the location information of the candidate sensing devices, determine the grid identifier of the grid in which the candidate sensing device is currently located;

[0018] The target sensing device is selected from the candidate sensing devices based on the grid identifier and grid information of the grid in which the candidate sensing device is currently located.

[0019] In one embodiment, the method further includes:

[0020] A location acquisition request is sent to the target device so that the target device can feed back the location information of the candidate sensing device to the SF network element based on the location acquisition request.

[0021] In one embodiment, the location acquisition request includes at least one of the following: device identifier of the candidate sensing device, request type, and request content;

[0022] Request types include periodic reporting and period length;

[0023] The request includes at least one of the following: the location information of the candidate sensing device and a timestamp.

[0024] Secondly, this application provides a sensing device selection apparatus configured in an SF network element, the apparatus comprising:

[0025] The determination module is used to determine the grid information corresponding to the sensing task area in response to the sensing task request sent by the demanding network element carrying the sensing task area.

[0026] The selection module is used to select the target sensing device from the candidate sensing devices based on grid information and / or the location information of the candidate sensing devices.

[0027] Thirdly, this application also provides a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0028] In response to a sensing task request sent by a network element carrying a sensing task area, determine the grid information corresponding to the sensing task area.

[0029] Based on grid information and / or the location information of candidate sensing devices, select the target sensing device from the candidate sensing devices.

[0030] Fourthly, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the following steps:

[0031] In response to a sensing task request sent by a network element carrying a sensing task area, determine the grid information corresponding to the sensing task area.

[0032] Based on grid information and / or the location information of candidate sensing devices, select the target sensing device from the candidate sensing devices.

[0033] Fifthly, this application also provides a computer program product comprising a computer program that, when executed by a processor, performs the following steps:

[0034] In response to a sensing task request sent by a network element carrying a sensing task area, determine the grid information corresponding to the sensing task area.

[0035] Based on grid information and / or the location information of candidate sensing devices, select the target sensing device from the candidate sensing devices.

[0036] The aforementioned sensing device selection method, apparatus, computer equipment, and storage medium, in response to a sensing task request carrying a sensing task area sent by a requesting network element, determine the grid information corresponding to the sensing task area. Based on the grid information and / or the location information of candidate sensing devices, a target sensing device is selected from the candidate sensing devices. In this application, upon receiving a sensing task request, the target sensing device can be accurately selected from the candidate sensing devices according to the grid information corresponding to the sensing task area and / or the location information of candidate sensing devices in the sensing task request. This achieves refined selection of suitable target sensing devices for sensing tasks, avoiding waste of air interface resources and power consumption of sensing devices. Attached Figure Description

[0037] Figure 1 This is an application environment diagram of a sensing device selection method provided in this embodiment;

[0038] Figure 2 This is a flowchart illustrating a sensing device selection method provided in this embodiment;

[0039] Figure 3 This embodiment provides a schematic diagram of a process for selecting a target sensing device from candidate sensing devices.

[0040] Figure 4 This is a schematic diagram of another process for selecting a target sensing device from candidate sensing devices provided in this embodiment;

[0041] Figure 5 This is a signaling interaction diagram of a sensing device selection method provided in this embodiment;

[0042] Figure 6 Signaling interaction diagram for another sensing device selection method provided in this embodiment;

[0043] Figure 7 This is a structural block diagram of a sensing device selection device provided in this embodiment;

[0044] Figure 8 This is an internal structural diagram of the computer device provided in this embodiment. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description, in conjunction with the accompanying drawings and embodiments, further illustrates this application. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0046] 5G sensing network architecture (e.g.) Figure 1As shown, the SF (Sensing Function) network element is divided into two parts: the control plane SF-C network element and the user plane SF-U network element. The SF network element can communicate with various network elements in the 5GC (5G Core Network) (such as AMF (Access and Mobility Management Function), UDM (Unified Data Management), SMF (Session Management Function), LMF (Location Management Function), NEF (Network Element Function), NRF (Network Repository Function), etc.) and can also directly connect to the RAN (Radio Access Network) to obtain sensing data from the RAN or UE (User Equipment).

[0047] In 5G sensing networks, user equipment (UEs) can act as sensing devices, detecting other targets, acquiring sensing data, and reporting it to SF network elements. However, most UEs acting as sensing devices are mobile, and their locations change in real time. Sensing tasks are performed on a region-by-region basis, requiring only the selection of sensing devices within the corresponding area, thus avoiding waste of air interface resources and equipment power consumption. Therefore, how to accurately select sensing devices is a crucial problem that urgently needs to be solved.

[0048] The sensing device selection method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, the SF network element responds to a sensing task request carrying the sensing task area sent by the requesting network element, and determines the grid information corresponding to the sensing task area. Based on the grid information and / or the location information of candidate sensing devices, the SF network element selects the target sensing device from the candidate sensing devices.

[0049] Among them, sensing devices refer to devices with sensing functions in a sensing network. Sensing devices can be user terminals, such as mobile phones and computers, or smart wearable devices such as smart bracelets and smartwatches.

[0050] In one embodiment, Figure 2 This is a flowchart illustrating a sensing device selection method according to an embodiment of this application, applied to... Figure 1 Taking the SF network element as an example, the method includes the following steps:

[0051] S201, in response to a sensing task request carrying a sensing task area sent by a demanding network element, determine the raster information corresponding to the sensing task area.

[0052] In this context, "demand network element" refers to a network element device that senses service needs and issues sensing tasks; for example, it could be an AF (Application Function) network element. "Sensing task area" refers to the target area corresponding to the sensing task. "Sensing task request" refers to the request message for issuing the sensing task. "Grid information" refers to the information corresponding to each grid area within the sensing area.

[0053] Optionally, in this embodiment, the grid information corresponding to the sensing task area can be pre-configured, or the SF network element can perform gridding processing on the sensing task area after receiving the sensing task request, dividing the sensing task area into several grids and configuring the relevant information of each grid.

[0054] Optionally, in this embodiment, the grid information can be a grid list. The grid information includes, but is not limited to, at least one of the following: grid identifier, grid center coordinates, grid shape, and grid size.

[0055] As an optional implementation of this application, an information acquisition request is sent to the processing device, wherein the information acquisition request carries a sensing task area. This enables the processing device to feed back grid information of the sensing task area to the SF network element based on the information acquisition request.

[0056] Another optional implementation of this application is to perform rasterization processing on the perception task area, divide the perception task area into several grids, and configure the relevant information of each grid to obtain the grid information corresponding to the perception task area.

[0057] Another optional implementation of this application involves mapping the sensing task area to a local sensing grid to obtain the grid information corresponding to the sensing task area. Here, the sensing grids for each area are stored.

[0058] S202, Select the target sensing device from the candidate sensing devices based on grid information and / or the location information of the candidate sensing devices.

[0059] In this context, a candidate sensing device refers to a sensing device that is considered as an alternative, and there can be more than one candidate sensing device. A target sensing device refers to a sensing device that can perform the sensing task corresponding to the sensing task request.

[0060] An optional implementation of this application involves selecting a target sensing device from candidate sensing devices based on grid information. Specifically, a grid information acquisition request is sent to the candidate sensing devices, the request carrying grid information. The grid information acquisition request instructs the candidate sensing devices to determine the grid identifier of their current location based on the grid information and their own location information, and to report the grid identifier of their current location to the SF network element. Upon receiving the grid identifier of its current location, the SF network element identifies the candidate sensing devices whose grid identifier successfully matches the grid identifier in the grid information as the target sensing devices. It should be noted that if some candidate sensing devices are not located in the grids associated with the grid information, there is no need to report the grid identifier.

[0061] Another optional implementation of this application is to select a target sensing device from the candidate sensing devices based on grid information and the location information of the candidate sensing devices. Specifically, candidate sensing devices whose location information is located within the grid range of any grid associated in the grid information can be used as target sensing devices.

[0062] The aforementioned sensing device selection method, in response to a sensing task request carrying a sensing task area sent by a requesting network element, determines the grid information corresponding to the sensing task area. Based on the grid information and / or the location information of candidate sensing devices, a target sensing device is selected from the candidate sensing devices. In this application, upon receiving a sensing task request, the target sensing device can be accurately selected from the candidate sensing devices according to the grid information corresponding to the sensing task area and / or the location information of candidate sensing devices in the sensing task request. This achieves refined selection of suitable target sensing devices for sensing tasks, avoiding waste of air interface resources and power consumption of sensing devices.

[0063] In one embodiment, in order to reduce the computational burden on SF network elements and improve the utilization rate of terminal resources, such as Figure 3 As shown, an optional implementation of S202 includes:

[0064] S301, send grid information to the target device.

[0065] The target device is either a candidate sensing device or an LMF (Location Management Function) network element.

[0066] Optionally, in this embodiment, the grid information is pre-sent to the target device for storage. It should be noted that, in addition to storing the grid information of the sensing task area, the target device can also store grid information of other areas.

[0067] S302, if the grid information is successfully sent, send a device grid acquisition request to the target device.

[0068] Among them, the device grid acquisition request is used to instruct the target device to determine the grid identifier of the current grid of the candidate sensing device based on the location information and grid information of the candidate sensing device.

[0069] Optionally, in this embodiment, the device grid acquisition request carries at least one of the following: device identifier, request type, and request content; the request content includes the grid identifier and timestamp. The request type is event reporting.

[0070] Optionally, in this embodiment, an alternative implementation of sending a device grid acquisition request to the target device is as follows: when the target device is a candidate sensing device, the device grid acquisition request can be broadcast to a range (which needs to be larger than the sensing task area) so that all sensing devices within that range can receive the grid acquisition request. Sending grid information can also be done via broadcast.

[0071] Optionally, in this embodiment, the target device determines the grid identifier of the grid where the candidate sensing device is currently located based on the location information and grid information of the candidate sensing device. One possible implementation is that the candidate sensing device can determine the grid range of each grid based on the grid center coordinates, grid shape, and grid size. The candidate sensing device can determine its current grid location based on its own location information and the grid range of each grid, and thus determine the grid identifier of the current grid location.

[0072] Optionally, in some embodiments, the device grid acquisition request is further used to instruct the target device to report grid change information to the SF network element when the grid where the candidate sensing device is currently located changes. The grid change information includes the grid identifier of the changed grid, the device identifier of the candidate sensing device, and a timestamp. That is, the target device can acquire the location information of the candidate sensing device in real time or periodically. When the location information changes, it determines whether the grid corresponding to the changed location information has changed. If it has changed, it reports the grid change information to the SF network element. The device identifier refers to the unique identifier of the candidate sensing device, for example, it can be GPSI (Generic Public Subscription Identifier) ​​or SUPI (Subscription Permanent Identifier).

[0073] S303, Receive the device grid acquisition response message sent by the target device.

[0074] The device grid acquisition response message contains at least the grid identifier of the grid in which the candidate sensing device is currently located.

[0075] Optionally, in this embodiment, the device grid acquisition response message sent by the target device can be received directly or indirectly.

[0076] S304. Select the target sensing device from the candidate sensing devices based on the grid information and the grid identifier of the grid where the candidate sensing device is currently located.

[0077] Optionally, in this embodiment, the grid identifier of the current grid of the candidate sensing device is matched with the grid identifier of each grid in the grid information, and the candidate sensing device pointed to by the grid corresponding to the successfully matched grid identifier is taken as the target sensing device.

[0078] In this embodiment, grid information is sent to the target device for storage. If the grid information is successfully sent, a device grid acquisition request is sent to the target device. This request instructs the target device to determine the grid identifier of the grid currently occupied by the candidate sensing device based on its location information and the grid information. A device grid acquisition response message is received from the target device. Based on the grid information and the grid identifier of the candidate sensing device's current grid location, the target sensing device is selected from the candidate sensing devices. The device grid acquisition response message contains at least the grid identifier of the candidate sensing device's current grid location. The target device can be either a candidate sensing device or an LMF network element. This embodiment allows the target device to perform the task of confirming the grid identifier of the candidate sensing device's current grid location, improving the flexibility of target device determination, fully utilizing target device resources, and sharing the computational burden of the SF network element.

[0079] In one embodiment, to reduce the burden on sensing devices while increasing the flexibility of how target sensing devices are identified, such as... Figure 4 As shown, another optional implementation of S202 includes:

[0080] S401, Based on the location information of the candidate sensing device, determine the grid identifier of the grid in which the candidate sensing device is currently located.

[0081] As an optional implementation of this application, the SF network element can determine the grid range of each grid based on the grid center coordinates, grid shape, and grid size. The candidate sensing device can determine the current grid it is in based on its own location information and the grid range of each grid, and then determine the grid identifier of the current grid.

[0082] As another optional implementation of this application, for each candidate sensing device, the distance between the location information of the candidate sensing device and the coordinates of the center position of each grid is determined. The minimum distance is then selected. If the minimum distance is greater than a first preset threshold, the candidate sensing device is determined not to be in the sensing task area. If the minimum distance is less than a second preset threshold, the grid identifier of the grid pointed to by the center position coordinates of the grid corresponding to the minimum distance is used as the grid identifier of the grid where the candidate sensing device is currently located. The second preset threshold is less than the first preset threshold.

[0083] S402, Select the target sensing device from the candidate sensing devices based on the grid identifier and grid information of the grid where the candidate sensing device is currently located.

[0084] As an optional implementation of this application, the grid identifier and grid information of the current grid where the candidate sensing device is located are input into an intelligent analysis tool, and the intelligent analysis tool outputs the target sensing device. The intelligent analysis tool can be a trained neural network model.

[0085] Another optional implementation of this application is to match the grid identifier of the current grid of the candidate sensing device with the grid identifier of each grid in the grid information, and take the candidate sensing device pointed to by the grid corresponding to the successfully matched grid identifier as the target sensing device.

[0086] Optionally, in this embodiment, to obtain the location information of candidate sensing devices, one possible implementation of a sensing device selection method is to send a location acquisition request to the target device, so that the target device can feed back the location information of the candidate sensing devices to the SF network element based on the location acquisition request. Optionally, the location acquisition request includes at least one of the following: the device identifier of the candidate sensing device, the request type, and the request content. The request type includes periodic reporting and period length. The request content includes at least one of the following: the location information of the candidate sensing device (the absolute location of the candidate sensing device, for example, the location coordinates in the geodetic coordinate system) and a timestamp. Optionally, in this embodiment, the SF network element can send the location acquisition request to the target device after the candidate sensing device has completed its initial capability registration.

[0087] In this embodiment, a location acquisition request is sent to the target device to obtain the location information of candidate sensing devices. Based on the location information of the candidate sensing devices, the grid identifier of the current grid in which the candidate sensing device is located is determined. Based on the grid identifier and grid information of the current grid in which the candidate sensing device is located, the target sensing device is selected from the candidate sensing devices. This increases the flexibility of selecting the target sensing device, allowing users to flexibly choose the method of determining the target sensing device in different scenarios. In this embodiment, the target device only needs to provide the location information of the candidate sensing devices, reducing the computational load on the target device.

[0088] In one embodiment, such as Figure 5 As shown, an optional implementation of a sensing device selection method includes:

[0089] S501, in response to a sensing task request carrying a sensing task area sent by a requesting network element, determine the grid information corresponding to the sensing task area. The grid information includes at least one of the following: grid identifier, grid center coordinates, grid shape, and grid size.

[0090] S502, send grid information to the target device. The target device is a candidate sensing device or an LMF network element.

[0091] S503, if the grid information is successfully sent, sends a device grid acquisition request to the target device.

[0092] S504, the target device determines the grid identifier of the grid in which the candidate sensing device is currently located based on the location information and grid information of the candidate sensing device.

[0093] S505, Receive a device grid acquisition response message sent by the target device. The device grid acquisition response message carries at least the grid identifier of the grid in which the candidate sensing device is currently located.

[0094] S506, based on the grid information and the grid identifier of the current grid of each candidate sensing device, select the target sensing device from among the candidate sensing devices. The device grid acquisition request carries at least one of the following: device identifier, request type, and request content; the request content includes the grid identifier and a timestamp. The device grid acquisition request is also used to instruct the target device to report grid change information to the SF network element when the current grid of the candidate sensing device changes; the grid change information includes the grid identifier of the changed grid, the device identifier of the candidate sensing device, and a timestamp.

[0095] In one embodiment, such as Figure 6 As shown, another alternative implementation of the sensing device selection method includes:

[0096] S601, the SF network element sends a location acquisition request to the target device. The location acquisition request includes at least one of the following: the device identifier of the candidate sensing device, the request type, and the request content; the request type includes periodic reporting and period length; the request content includes at least one of the following: the location information and the timestamp of the candidate sensing device.

[0097] S602, the target device sends the location information of the candidate sensing device back to the SF network element based on the location acquisition request.

[0098] S603, in response to a sensing task request carrying a sensing task area sent by a demanding network element, determines the raster information corresponding to the sensing task area.

[0099] S604, Based on the location information of the candidate sensing device, determine the grid identifier of the grid in which the candidate sensing device is currently located.

[0100] S605, select the target sensing device from among the candidate sensing devices based on the grid identifier and grid information of the grid where each candidate sensing device is currently located.

[0101] In this embodiment, in response to a sensing task request carrying a sensing task area sent by a requesting network element, the grid information corresponding to the sensing task area is determined. Based on the grid information and / or the location information of candidate sensing devices, a target sensing device is selected from the candidate sensing devices. In this application, upon receiving a sensing task request, the target sensing device can be accurately selected from the candidate sensing devices based on the grid information corresponding to the sensing task area and / or the location information of the candidate sensing devices in the sensing task request. This achieves refined selection of suitable target sensing devices for sensing tasks, avoiding waste of air interface resources and power consumption of sensing devices.

[0102] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps.

[0103] Based on the same inventive concept, this application also provides a sensing device selection apparatus for implementing the sensing device selection method described above. The solution provided by this apparatus is similar to the implementation described in the above method; therefore, the specific limitations in one or more sensing device selection apparatus embodiments provided below can be found in the limitations of the sensing device selection method described above, and will not be repeated here.

[0104] In one embodiment, by Figure 7 A structural block diagram of a sensing device selection device in one embodiment is shown. Figure 7 As shown, a sensing device selection device 1 is provided, the device comprising: a determining module 10 and a selecting module 20, wherein:

[0105] The determination module 10 is used to determine the grid information corresponding to the sensing task area in response to the sensing task request sent by the demand network element carrying the sensing task area.

[0106] Selection module 20 is used to select a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices.

[0107] In one embodiment, the grid information includes at least one of the following: grid identifier, grid center coordinates, grid shape, and grid size.

[0108] In one embodiment, the selection module 20 is further specifically used for:

[0109] Send grid information to the target device; where the target device is a candidate sensing device or an LMF network element;

[0110] If the grid information is successfully sent, a device grid acquisition request is sent to the target device; wherein, the device grid acquisition request is used to instruct the target device to determine the grid identifier of the current grid of the candidate sensing device based on the location information and grid information of the candidate sensing device;

[0111] Receive a device grid acquisition response message sent by the target device; wherein the device grid acquisition response message carries at least the grid identifier of the grid in which the candidate sensing device is currently located;

[0112] The target sensing device is selected from the candidate sensing devices based on the grid information and the grid identifier of the current grid in which the candidate sensing device is located.

[0113] In one embodiment, the device grid acquisition request carries at least one of a device identifier, a request type, and a request content; the request content includes the grid identifier and a timestamp.

[0114] In one embodiment, the device grid acquisition request is further used to instruct the target device to report grid change information to the SF network element when the grid where the candidate sensing device is currently located changes; wherein, the grid change information includes the grid identifier of the changed grid, the device identifier of the candidate sensing device, and a timestamp.

[0115] In one embodiment, the selection module 20 is further specifically used for:

[0116] Based on the location information of the candidate sensing devices, determine the grid identifier of the grid in which the candidate sensing device is currently located;

[0117] The target sensing device is selected from the candidate sensing devices based on the grid identifier and grid information of the grid in which the candidate sensing device is currently located.

[0118] In one embodiment, a sensing device selection device 1 further includes:

[0119] The sending module is used to send a location acquisition request to the target device, so that the target device can feed back the location information of the candidate sensing device to the SF network element based on the location acquisition request.

[0120] In one embodiment, the location acquisition request includes at least one of the following: device identifier of the candidate sensing device, request type, and request content;

[0121] Request types include periodic reporting and period length;

[0122] The request includes at least one of the following: the location information of the candidate sensing device and a timestamp.

[0123] Each module in the aforementioned sensing device selection device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0124] In one embodiment, a computer device is provided, which may be a platform-side device, and its internal structure diagram may be as follows: Figure 8As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores raster information. The network interface communicates with an external user via a network connection. When executed by the processor, the computer program implements a sensing device selection method.

[0125] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specifically, the computer device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0126] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0127] In response to a sensing task request sent by a network element carrying a sensing task area, determine the grid information corresponding to the sensing task area.

[0128] Based on grid information and / or the location information of candidate sensing devices, select the target sensing device from the candidate sensing devices.

[0129] In one embodiment, when the processor executes the computer program, it further implements the following steps: the grid information includes at least one of the following: grid identifier of each grid, grid center position coordinates, grid shape, and grid size.

[0130] In one embodiment, when the processor executes the computer program, it further performs the following steps: selecting a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices, including:

[0131] Send grid information to the target device; where the target device is a candidate sensing device or an LMF network element;

[0132] If the grid information is successfully sent, a device grid acquisition request is sent to the target device; wherein, the device grid acquisition request is used to instruct the target device to determine the grid identifier of the current grid of the candidate sensing device based on the location information and grid information of the candidate sensing device;

[0133] Receive a device grid acquisition response message sent by the target device; wherein the device grid acquisition response message carries at least the grid identifier of the grid in which the candidate sensing device is currently located;

[0134] The target sensing device is selected from the candidate sensing devices based on the grid information and the grid identifier of the current grid in which the candidate sensing device is located.

[0135] In one embodiment, when the processor executes the computer program, it further performs the following steps: the device grid acquisition request carries at least one of a device identifier, a request type, and a request content; the request content includes a grid identifier and a timestamp.

[0136] In one embodiment, when the processor executes the computer program, it further implements the following steps: the device grid acquisition request is further used to instruct the target device to feed back grid change information to the SF network element when the grid where the candidate sensing device is currently located changes; wherein, the grid change information includes the grid identifier of the changed grid, the device identifier of the candidate sensing device, and a timestamp.

[0137] In one embodiment, when the processor executes the computer program, it further performs the following steps: selecting a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices, including:

[0138] Based on the location information of the candidate sensing devices, determine the grid identifier of the grid in which the candidate sensing device is currently located;

[0139] The target sensing device is selected from the candidate sensing devices based on the grid identifier and grid information of the grid in which the candidate sensing device is currently located.

[0140] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0141] A location acquisition request is sent to the target device so that the target device can feed back the location information of the candidate sensing device to the SF network element based on the location acquisition request.

[0142] In one embodiment, when the processor executes the computer program, it further performs the following steps: the location acquisition request includes at least one of a device identifier of a candidate sensing device, a request type, and a request content;

[0143] Request types include periodic reporting and period length;

[0144] The request includes at least one of the following: the location information of the candidate sensing device and a timestamp.

[0145] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0146] In response to a sensing task request sent by a network element carrying a sensing task area, determine the grid information corresponding to the sensing task area.

[0147] Based on grid information and / or the location information of candidate sensing devices, select the target sensing device from the candidate sensing devices.

[0148] In one embodiment, when the computer program is executed by the processor, it further implements the following steps: the grid information includes at least one of the following: grid identifier of each grid, grid center position coordinates, grid shape, and grid size.

[0149] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: selecting a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices, including:

[0150] Send grid information to the target device; where the target device is a candidate sensing device or an LMF network element;

[0151] If the grid information is successfully sent, a device grid acquisition request is sent to the target device; wherein, the device grid acquisition request is used to instruct the target device to determine the grid identifier of the current grid of the candidate sensing device based on the location information and grid information of the candidate sensing device;

[0152] Receive a device grid acquisition response message sent by the target device; wherein the device grid acquisition response message carries at least the grid identifier of the grid in which the candidate sensing device is currently located;

[0153] The target sensing device is selected from the candidate sensing devices based on the grid information and the grid identifier of the current grid in which the candidate sensing device is located.

[0154] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: the device grid acquisition request carries at least one of a device identifier, a request type, and a request content; the request content includes a grid identifier and a timestamp.

[0155] In one embodiment, when the computer program is executed by the processor, it further implements the following steps: the device grid acquisition request is further used to instruct the target device to feed back grid change information to the SF network element when the grid where the candidate sensing device is currently located changes; wherein, the grid change information includes the grid identifier of the changed grid, the device identifier of the candidate sensing device, and a timestamp.

[0156] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: selecting a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices, including:

[0157] Based on the location information of the candidate sensing devices, determine the grid identifier of the grid in which the candidate sensing device is currently located;

[0158] The target sensing device is selected from the candidate sensing devices based on the grid identifier and grid information of the grid in which the candidate sensing device is currently located.

[0159] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0160] A location acquisition request is sent to the target device so that the target device can feed back the location information of the candidate sensing device to the SF network element based on the location acquisition request.

[0161] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: the location acquisition request includes at least one of a device identifier of a candidate sensing device, a request type, and a request content;

[0162] Request types include periodic reporting and period length;

[0163] The request includes at least one of the following: the location information of the candidate sensing device and a timestamp.

[0164] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0165] In response to a sensing task request sent by a network element carrying a sensing task area, determine the grid information corresponding to the sensing task area.

[0166] Based on grid information and / or the location information of candidate sensing devices, select the target sensing device from the candidate sensing devices.

[0167] In one embodiment, when the computer program is executed by the processor, it further implements the following steps: the grid information includes at least one of the following: grid identifier of each grid, grid center position coordinates, grid shape, and grid size.

[0168] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: selecting a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices, including:

[0169] Send grid information to the target device; where the target device is a candidate sensing device or an LMF network element;

[0170] If the grid information is successfully sent, a device grid acquisition request is sent to the target device; wherein, the device grid acquisition request is used to instruct the target device to determine the grid identifier of the current grid of the candidate sensing device based on the location information and grid information of the candidate sensing device;

[0171] Receive a device grid acquisition response message sent by the target device; wherein the device grid acquisition response message carries at least the grid identifier of the grid in which the candidate sensing device is currently located;

[0172] The target sensing device is selected from the candidate sensing devices based on the grid information and the grid identifier of the current grid in which the candidate sensing device is located.

[0173] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: the device grid acquisition request carries at least one of a device identifier, a request type, and a request content; the request content includes a grid identifier and a timestamp.

[0174] In one embodiment, when the computer program is executed by the processor, it further implements the following steps: the device grid acquisition request is further used to instruct the target device to feed back grid change information to the SF network element when the grid where the candidate sensing device is currently located changes; wherein, the grid change information includes the grid identifier of the changed grid, the device identifier of the candidate sensing device, and a timestamp.

[0175] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: selecting a target sensing device from candidate sensing devices based on grid information and / or location information of candidate sensing devices, including:

[0176] Based on the location information of the candidate sensing devices, determine the grid identifier of the grid in which the candidate sensing device is currently located;

[0177] The target sensing device is selected from the candidate sensing devices based on the grid identifier and grid information of the grid in which the candidate sensing device is currently located.

[0178] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0179] A location acquisition request is sent to the target device so that the target device can feed back the location information of the candidate sensing device to the SF network element based on the location acquisition request.

[0180] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: the location acquisition request includes at least one of a device identifier of a candidate sensing device, a request type, and a request content;

[0181] Request types include periodic reporting and period length;

[0182] The request includes at least one of the following: the location information of the candidate sensing device and a timestamp.

[0183] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, 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 can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0184] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments have been 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.

[0185] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for selecting a sensing device, characterized in that, The method, applied to SF network elements with sensing functions, includes: In response to a sensing task request sent by a network element carrying a sensing task area, the grid information corresponding to the sensing task area is determined. Based on the grid information and / or the location information of the candidate sensing devices, the target sensing device is selected from the candidate sensing devices.

2. The method according to claim 1, characterized in that, The grid information includes at least one of the following: grid identifier, grid center coordinates, grid shape, and grid size.

3. The method according to claim 2, characterized in that, The step of selecting a target sensing device from the candidate sensing devices based on the grid information and / or the location information of the candidate sensing devices includes: The grid information is sent to the target device; wherein the target device is a candidate sensing device or a location management function (LMF) network element. If the grid information is successfully sent, a device grid acquisition request is sent to the target device; wherein, the device grid acquisition request is used to instruct the target device to determine the grid identifier of the grid in which the candidate sensing device is currently located based on the location information of the candidate sensing device and the grid information; Receive a device grid acquisition response message sent by the target device; wherein the device grid acquisition response message carries at least the grid identifier of the grid in which the candidate sensing device is currently located; Based on the grid information and the grid identifier of the current grid in which the candidate sensing device is located, the target sensing device is selected from the candidate sensing devices.

4. The method according to claim 3, characterized in that, The device grid acquisition request carries at least one of the following: device identifier, request type, and request content; the request content includes grid identifier and timestamp.

5. The method according to claim 3, characterized in that, The device grid acquisition request is also used to instruct the target device to report grid change information to the SF network element when the grid where the candidate sensing device is currently located changes; wherein, the grid change information includes the grid identifier of the changed grid, the device identifier of the candidate sensing device, and a timestamp.

6. The method according to claim 2, characterized in that, The step of selecting a target sensing device from the candidate sensing devices based on the grid information and / or the location information of the candidate sensing devices includes: Based on the location information of the candidate sensing devices, determine the grid identifier of the grid in which the candidate sensing device is currently located; The target sensing device is selected from the candidate sensing devices based on the grid identifier of the grid in which the candidate sensing device is currently located and the grid information.

7. The method according to claim 6, characterized in that, The method further includes: A location acquisition request is sent to the target device, so that the target device can feed back the location information of the candidate sensing device to the SF network element based on the location acquisition request.

8. The method according to claim 7, characterized in that, The location acquisition request includes at least one of the following: device identifier of the candidate sensing device, request type, and request content; The request types include periodic reporting and period length; The request content includes at least one of the following: the location information of the candidate sensing device and a timestamp.

9. A sensing device selection device, characterized in that, Configured in an SF network element, the device includes: The determination module is used to determine the grid information corresponding to the sensing task area in response to a sensing task request carrying a sensing task area sent by a demand network element. The selection module is used to select a target sensing device from the candidate sensing devices based on the grid information and / or the location information of the candidate sensing devices.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 8.

12. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 8.