An old-age service management method and system based on an internet of things

Abstract

The application provides an old-age service management method and system based on the Internet of Things, wherein the method comprises the following steps: based on the Internet of Things, generating a service item quick selection table according to the current position of the old person and the predicted service demand; and controlling the Internet of Things to respond to the service item selected by the old person from the service item quick selection table. According to the current position of the old person and the predicted service demand, the application generates a service item quick selection table for the old person to quickly select a service item, controls the Internet of Things to respond to the service item selected by the old person from the service item quick selection table, and finally controls the corresponding intelligent device to perform the corresponding function. The old person only needs to select a service item from the service item quick selection table generated according to the old person to control the intelligent device, and does not need to operate the operation interface of the intelligent device. Moreover, the application realizes the control of multiple intelligent devices through a unified platform, greatly improves the use convenience, and improves the actual effect of the intelligent device in the old-age service.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Internet of Things, and in particular to an Internet of Things-based old-age service management method and system. BACKGROUND

[0002] At present, in order to improve the quality of old-age services, more and more old-age institutions begin to introduce intelligent devices, such as intelligent health monitoring, intelligent home control systems, and emergency call devices, aiming to provide a safer and more convenient living environment for the elderly and improve their living experience. However, despite the wide variety and powerful functions of these devices, the elderly often face many difficulties in actual use, resulting in low use efficiency of intelligent devices.

[0003] Firstly, the operation interface of many intelligent devices is complex and difficult to understand, and the elderly have limited understanding and operation ability of new technologies, often feeling confused and even unable to use correctly. Secondly, the interconnectivity problem between devices also brings trouble to the elderly, and many devices cannot be controlled through a unified platform, which greatly reduces the use convenience.

[0004] Therefore, in order to improve the actual effect of intelligent devices in old-age services, it is urgent to find a practical solution. SUMMARY

[0005] One of the purposes of the present application is to provide an Internet of Things-based old-age service management method, which generates a service item quick selection table based on the Internet of Things according to the current location and predicted service needs of the elderly, and provides the elderly with the service item quick selection table for quick selection of service items. The Internet of Things is controlled to respond to the service items selected by the elderly from the service item quick selection table, and finally the corresponding intelligent devices are controlled to perform corresponding functions. The elderly only need to select service items from the service item quick selection table recommended for them to control intelligent devices, without the need to operate the operation interface of intelligent devices. Moreover, multiple intelligent devices can be controlled through a unified platform, greatly improving the use convenience and the actual effect of intelligent devices in old-age services.

[0006] The Internet of Things-based old-age service management method provided by the embodiments of the present application comprises:

[0007] Based on the Internet of Things, a service item quick selection table is recommended and generated according to the current location and predicted service needs of the elderly;

[0008] The Internet of Things is controlled to respond to the service items selected by the elderly from the service item quick selection table.

[0009] Optionally, the Internet of Things-based recommendation and generation of a service item quick selection table according to the current location and predicted service needs of the elderly comprises:

[0010] determine a plurality of first IoT devices supporting prediction of service demand in a service space where the current location of the old person is located from the IoT, and corresponding support functions;

[0011] generate a plurality of service items based on the first IoT devices and the corresponding support functions;

[0012] generate a service item quick list based on the service item quick list template and according to the service items.

[0013] Optionally, the control IoT responds to the service item selected by the old person from the service item quick list, comprising:

[0014] interface the first IoT device in the service item selected by the old person from the service item quick list in the IoT, and control the execution of the support function in the service item selected by the old person from the service item quick list.

[0015] Optionally, the IoT-based elderly care service management method further comprises:

[0016] determine a plurality of second IoT devices supporting augmented reality modeling in a service space where the current location of the old person is located from the IoT;

[0017] control the second IoT devices to jointly perform augmented reality modeling on the service space where the current location of the old person is located, and obtain an augmented reality model;

[0018] based on a virtual camera, assist the guardian in remotely accompanying the old person according to the augmented reality model.

[0019] Optionally, the control IoT responds to the service item selected by the old person from the service item quick list, comprising:

[0020] Whenever the change amount of the human bounding box in the augmented reality model within a unit time exceeds the change amount threshold, based on the continued change trend of the human bounding box, a new accompanying area and corresponding virtual camera control constraints are planned in the augmented reality model in real time;

[0021] move the virtual camera to the new accompanying area, and control the virtual camera after moving according to the virtual camera control constraints;

[0022] continuously receive the monitoring pictures taken by the virtual camera after moving in the controlled process, and remotely return them to the guardian in real time.

[0023] Optionally, the control IoT responds to the service item selected by the old person from the service item quick list, comprising:

[0024] determine, from the augmented reality model, object bounding boxes of a plurality of associated objects having a standard association relationship with a trend of continuous change of the human body bounding box;

[0025] draw, based on the trend of continuous change of the human body bounding box, a proximity distance curve of the human body bounding box approaching each object bounding box of each associated object, respectively;

[0026] generate a plurality of target curve sets; wherein each target curve set contains a plurality of proximity distance curves with a curve similarity between each other exceeding a similarity threshold;

[0027] traverse each target curve set in turn according to the number of respective proximity distance curves in each target curve set from large to small, and perform the following operations each time:

[0028] describe the features of the associated objects corresponding to each proximity distance curve in the traversed target curve set to obtain a feature description vector, and match the feature description vector with planning knowledge and a cut-off representation degree, respectively;

[0029] when the cut-off representation degree exceeds a representation threshold, stop traversing the next target curve set, and based on the planning knowledge and historical planning knowledge obtained by traversing other target curve sets, jointly plan a new accompanying area and corresponding virtual camera control constraints in the augmented reality model in real time; otherwise, continue to traverse the next target curve set.

[0030] Optionally, the standard association relationship includes:

[0031] the human body bounding box will pass through the associated object when changing along the trend of continuous change;

[0032] and / or,

[0033] the human body bounding box will enter the risk area of the associated object when changing along the trend of continuous change;

[0034] and / or,

[0035] there is an object association between the objects contacted before and after the human body bounding box changes along the trend of continuous change.

[0036] Optionally, the drawing, based on the trend of continuous change of the human body bounding box, of a proximity distance curve of the human body bounding box approaching each object bounding box of each associated object, respectively, comprises:

[0037] obtain a proximity distance change sequence and a change time sequence of each object bounding box of each associated object approached by the human body bounding box when changing along the trend of continuous change;

[0038] draw the proximity distance curve based on a curve template according to the proximity distance change sequence and the change time sequence of the object bounding box of the same associated object.

[0039] Optionally, the Internet of Things-based old-age service management method further comprises:

[0040] The Internet of Things responds to the control instruction remotely issued by the guardian.

[0041] The Internet of Things-based old-age service management system provided by the embodiment of the application comprises:

[0042] The service item quick selection table recommendation generation module is configured to recommend and generate a service item quick selection table based on the Internet of Things according to the current position of the old person and the predicted service demand.

[0043] The Internet of Things response control module is configured to control the Internet of Things to respond to the service item selected by the old person from the service item quick selection table.

[0044] Other features and advantages of the present application will be described in the following description, and some will become apparent from the description, or will be learned through practice of the application. The purpose and other advantages of the present application can be achieved and obtained by the structure specifically pointed out in the written description and the accompanying drawings.

[0045] The technical solutions of the present application will be further described in detail below with the help of the accompanying drawings and embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0046] The accompanying drawings are used to provide a further understanding of the present application, and constitute a part of the specification, and are used to explain the present application together with the embodiments of the present application, and do not constitute a limitation on the present application. In the drawings:

[0047] Figure 1 It is a schematic diagram of an Internet of Things-based old-age service management method in the embodiment of the present application;

[0048] Figure 2 It is a schematic diagram of an Internet of Things-based old-age service management system in the embodiment of the present application. DETAILED DESCRIPTION

[0049] The preferred embodiments of the present application will be described below in conjunction with the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application.

[0050] Embodiment 1:

[0051] The embodiment of the present application provides an Internet of Things-based old-age service management method, as shown in Figure 1 The method comprises the following steps:

[0052] S1, based on the Internet of Things, a service item quick selection table is recommended and generated according to the current position of the old person and the predicted service demand;

[0053] S2, control the Internet of Things to respond to the service item selected by the old person from the service item quick selection table.

[0054] All intelligent devices in the old person's residence are connected to the Internet of Things platform to form an Internet of Things, and the Internet of Things platform can control these intelligent devices uniformly. The predicted service demand is the service that the old person hopes the intelligent device provides. When predicting, the old person's historical habits of using the intelligent device can be used for prediction. Based on the Internet of Things, the old person's current location and the predicted service demand can be used to recommend a service item for the old person, the service item is a function that the old person currently controls the intelligent device to execute, and a service item quick selection table is generated based on the recommended service item, for the old person to quickly select a service item. When the old person selects a service item from the service item quick selection table, the Internet of Things is controlled to respond, and the corresponding intelligent device is controlled to execute the corresponding function.

[0055] Based on the Internet of Things, the old person's current location and the predicted service demand are used to recommend and generate a service item quick selection table, for the old person to quickly select a service item. The Internet of Things is controlled to respond to the service item selected by the old person from the service item quick selection table, and finally the corresponding intelligent device is controlled to execute the corresponding function. The old person only needs to select a service item from the service item quick selection table recommended and generated for him to control the intelligent device, without the need to operate the operation interface of the intelligent device. More intelligent devices are controlled through a unified platform, greatly improving the use convenience and the actual effect of the intelligent device in the old-age service.

[0056] Embodiment 2:

[0057] In one embodiment, the Internet of Things is used to recommend and generate a service item quick selection table based on the old person's current location and the predicted service demand, which includes:

[0058] Determine a plurality of first Internet of Things devices supporting the predicted service demand and corresponding support functions in the service space where the old person's current location is located from the Internet of Things;

[0059] Generate a plurality of service items based on each first Internet of Things device and corresponding support functions;

[0060] Generate a service item quick selection table based on the quick selection table template and according to each service item.

[0061] The service space can be a room where the old person is located, etc. The first Internet of Things device and the corresponding support function are, for example: the predicted service demand is to play music to relax the mood, the first Internet of Things device supporting the predicted service demand is a smart speaker, a smart TV, etc., and the corresponding support function is a music playing function to relax the mood. A group of first Internet of Things devices and corresponding support functions as a service item, and multiple service items are used to generate a service item quick selection table against the quick selection table template. In the quick selection table template, all service items can be simultaneously displayed in a tiled arrangement, without the need for the old person to page.

[0062] Embodiment 3:

[0063] In an embodiment, the control of the Internet of Things in response to the service item selected by the old person from the service item quick selection table includes:

[0064] The first Internet of Things device in the service item selected by the old person from the service item quick selection table is connected, and the execution of the supporting function in the service item selected by the old person from the service item quick selection table is controlled.

[0065] When the Internet of Things is controlled to respond, for example: the first Internet of Things device in the selected service item is a smart sound box, and the supporting function in the selected service item is a soothing music playing function, the smart sound box is controlled to play soothing music.

[0066] Embodiment 4:

[0067] In the management of old-age service, one of the functions that the guardian of the old person (usually relatives such as children) cares most about is remote monitoring. The existing remote monitoring technology for the old people mostly relies on installing a camera at a fixed position in the living environment of the old people, and transmitting the picture in real time to the guardian for remote observation through the camera. Although this way provides convenience for guardians, it has several significant problems, which affect the care effect of the old people and the use experience of the guardians:

[0068] 1. Many monitoring systems currently use fixed-angle cameras to monitor the activities of the old people. Such cameras can usually only cover a specific angle, with limited shooting range and angle, and cannot be flexibly adjusted in angle. In the case of a large area of activity of the old people, the fixed camera cannot fully track the movements of the old people, resulting in blind spots in the monitoring picture. Such limitations may prevent the guardian from discovering some sudden conditions of the old people in time, affecting the monitoring effect.

[0069] 2. By viewing the activities of the old people through remote monitoring pictures, the guardian can usually only see single static pictures or limited dynamic videos, which cannot truly give the guardian company and comfort. Although the guardian can observe the condition of the old people through the picture, such remote monitoring method still has a sense of distance, and cannot achieve emotional company. The guardian's anxiety may still exist, and the worry about the safety of the old people cannot be eliminated. Therefore, in order to solve the above problems, in an embodiment, the method for managing old-age service based on the Internet of Things further includes:

[0070] Determining a plurality of second Internet of Things devices supporting augmented reality modeling in the service space where the current position of the old person is located from the Internet of Things;

[0071] The second Internet of Things devices are controlled to jointly model the service space where the current position of the old person is located by augmented reality, and an augmented reality model is obtained;

[0072] Based on the virtual camera, remote companion monitoring of the old person by the guardian is assisted according to the augmented reality model.

[0073] The second Internet of Things devices supporting the augmented reality modeling at least include a millimeter wave radar, a depth camera, a smart wearable device (such as a smart watch), and the like, the millimeter wave radar provides high-precision distance and motion sensing, and the sensed distance and motion data are used for modeling, the depth camera captures three-dimensional space data, and helps accurate modeling of AR, the smart wearable device acquires physiological information of the old person, and the like, and the information is set in the modeled model; the millimeter wave radar and the depth camera are commonly used on smart home devices, such as a smart security device and a smart lighting device using the millimeter wave radar, and a smart access control and a smart health monitoring device using the depth camera, so that the augmented reality modeling can be directly interfaced and controlled. The augmented reality model obtained by the second Internet of Things devices is one-to-one virtually restored to the service space. Finally, remote companion monitoring of the old person by the guardian is assisted based on the virtual camera according to the augmented reality model, the virtual camera is moved in the augmented reality model to shoot a picture and transmit it to the guardian, so that the guardian has a sense of companionship.

[0074] In the embodiment of the application, the second Internet of Things devices are determined and controlled to jointly model the service space where the current position of the old person is located by augmented reality, remote companion monitoring of the old person by the guardian is assisted based on the virtual camera according to the modeled augmented reality model, the action of the old person can be tracked, sudden conditions of the old person can be found in time, the monitoring effect is improved, and more importantly, remote companion monitoring of the old person by the guardian is assisted based on the virtual camera, so that the guardian can achieve emotional companionship and avoid the generation of an uneasy mood as much as possible, so as to eliminate the worry about the safety of the old person.

[0075] Embodiment 5:

[0076] In one embodiment, the remote companion monitoring of the old person by the guardian based on the virtual camera according to the augmented reality model includes:

[0077] Whenever the change amount of the human bounding box of the old person in the augmented reality model in a unit time exceeds a change amount threshold, a new companion area and a corresponding virtual camera control constraint in the augmented reality model are planned in real time based on the continued change trend of the human bounding box;

[0078] The virtual camera is moved to the new companion area, and the virtual camera after the movement is controlled according to the virtual camera control constraint;

[0079] Continuously receive the monitoring pictures taken by the virtual camera after moving in the controlled process, and remotely return the monitoring pictures to the guardian in real time.

[0080] The human body three-dimensional model is contained in the augmented reality model, and the bounding box surrounding the human body three-dimensional model is the human body bounding box. The unit time can be 1 second. The change amount of the human body bounding box in the unit time refers to the change amount of the position movement of the human body bounding box in the unit time. The change amount threshold refers to the threshold of the change amount of the position movement. When the change amount of the human body bounding box in the unit time exceeds the change amount threshold, it indicates that the virtual camera needs to go to a new accompanying area, etc. Based on the motion prediction technology, according to the historical movement of the human body bounding box, the continuous change trend of the human body bounding box can be predicted, which indicates how the virtual camera needs to go to a new accompanying area and how to control the virtual camera after going to the new accompanying area. Therefore, based on the real-time planning of the new accompanying area and the corresponding virtual camera control constraint in the augmented reality model, the virtual camera is moved to the new accompanying area, and the virtual camera is controlled according to the virtual camera control constraint after moving. In this process, the monitoring pictures taken by the virtual camera are remotely returned to the guardian in real time.

[0081] In specific implementation, every time the change amount of the human body bounding box in the unit time exceeds the change amount threshold, the system will plan a new accompanying area and the corresponding virtual camera control constraint. The virtual camera will move to the new accompanying area and take pictures according to the indication of the virtual camera control constraint. The guardian only needs to continuously view the monitoring pictures to realize the accompanying monitoring of the old people throughout the process. The accuracy and applicability of the guardian in remotely accompanying the old people are greatly improved, and the monitoring experience of the guardian is improved.

[0082] Embodiment 6:

[0083] In one embodiment, the continuous change trend of the human body bounding box is used to plan a new accompanying area and the corresponding virtual camera control constraint in the augmented reality model in real time, which includes:

[0084] Determining the object bounding boxes of a plurality of associated objects having a standard association relationship with the continuous change trend of the human body bounding box from the augmented reality model;

[0085] Drawing the approaching distance curves of the human body bounding box approaching the respective object bounding boxes of the plurality of associated objects based on the continuous change trend of the human body bounding box;

[0086] Generating a plurality of target curve sets; wherein the same target curve set contains a plurality of approaching distance curves with a curve similarity exceeding a similarity threshold;

[0087] According to the number of each target curve set from large to small, each target curve set is traversed in turn, and the following operations are performed each time:

[0088] The features of the associated objects corresponding to the proximity curves in the traversed target curve set are described to obtain a feature description vector, and the feature description vector is matched with the planning knowledge and the cut-off representation degree respectively.

[0089] When the cut-off representation degree exceeds the representation degree threshold, the next target curve set is stopped from being continuously traversed, and based on the planning knowledge and the historical planning knowledge obtained by traversing other target curve sets, a new accompanying area and a corresponding virtual camera control constraint are jointly planned in the augmented reality model in real time; otherwise, the next target curve set is continuously traversed.

[0090] When the standard association relationship exists between the association object and the continuing change trend, it indicates that the object bounding box of the association object needs to be considered when planning a new accompanying area and the corresponding virtual camera control constraint. The association object also has an object bounding box, for example, if the association object is a sweeping robot, the bounding box enclosing the three-dimensional model of the sweeping robot is the object bounding box. When the human body bounding box changes along the continuing change trend, it may gradually approach the object bounding box, and a close distance curve is drawn respectively, and one close distance curve reflects the situation of the human body bounding box approaching one object bounding box along the continuing change trend. The same target curve set is generated by taking a plurality of close distance curves whose similarity between each other exceeds a similarity threshold as constraints. The association objects corresponding to the close distance curves in the same target curve set are divided into at least two cases: first, the spatial position distance between each other is close; second, the old person subjectively needs to use these association objects. Therefore, the target curve set is generated to facilitate subsequent planning. The greater the number of close distance curves in the target curve set, the stronger the reflection of the above at least two cases, and the more priority is given to subsequent planning based thereon. In order to improve planning efficiency, each target curve set is traversed in turn according to the number of close distance curves in each target curve set from large to small. When describing the features, the object type, object position, and working state of the association object are represented as a feature description vector in the form of a vector. Different feature description vectors are pre-set with matching planning knowledge and a cutoff degree of representation. The feature description vector represents the situation that needs to be based on for subsequent planning, the planning knowledge is the knowledge that indicates how to perform subsequent planning corresponding to the situation, and the cutoff degree of representation is the degree of representation that reflects that it can stop continuing traversal. Specifically, for example, the object type, object position, and working state of the association object represented as a feature description vector are a sweeping robot, position A, and a moving sweeping robot, respectively. The corresponding planning knowledge is to take the area to the left of the human body bounding box as a new accompanying area, and to control the virtual camera to simultaneously shoot the old person and the sweeping robot as the virtual camera control constraint. Since the importance of the old person needing to avoid the sweeping robot to prevent tripping is high, there is no need to continue to traverse, and the cutoff degree of representation is 20 that exceeds a degree of representation threshold. When the cutoff degree of representation exceeds the degree of representation threshold, the next target curve set is stopped from continuing to be traversed, and the new accompanying area and the corresponding virtual camera control constraint are jointly planned in the augmented reality model in real time based on the planning knowledge and the historical planning knowledge obtained by traversing other target curve sets; otherwise, the next target curve set is continued to be traversed.

[0091] The embodiment of the present application can effectively improve the interactive experience in the augmented reality environment by planning a new accompanying area and virtual camera control constraint in real time based on the continuation change trend of the human bounding box. By analyzing the approaching distance between the human bounding box and the associated object, a target curve set is generated, and dynamic planning is performed in combination with object feature description and planning knowledge to ensure that the planning process takes into account the actual situation (such as position, working state) of each associated object. By setting a threshold value of the cut-off degree in advance, meaningless traversal is avoided, and the planning efficiency is improved. In the execution process, the target curve set with more approaching distance curves is given priority to ensure that the planning result is more in line with the actual demand and avoids safety hazards. Not only the response speed of the augmented reality model is improved, but also the accuracy and safety of the user experience are improved, which is particularly suitable for the intelligent accompanying environment of special groups such as the elderly.

[0092] Embodiment 7:

[0093] In one embodiment, the standard association relationship includes:

[0094] The human bounding box will pass through the associated object when it changes along the continuation change trend. The bounding box of the human changes with the actions of the human, such as walking, sitting, standing, etc. For example, if the human walks in the living room, the bounding box will change and pass through certain smart home devices (such as smart speakers, televisions, air conditioners, etc.) or home items (such as tables, chairs, etc.). In order to monitor the elderly, attention needs to be paid to such passing associated objects.

[0095] and / or,

[0096] The human bounding box will enter the risk area of the associated object when it changes along the continuation change trend. The risk area is divided into the risk area of the smart device, for example, the future working area of the sweeping robot; it is also divided into the risk area of the home item, for example, the corner of a certain furniture may have a sharp part, which is also regarded as a risk area. In order to monitor the elderly, attention needs to be paid to such associated objects that enter the risk area.

[0097] and / or,

[0098] There is an object association between the objects contacted before and after the human bounding box changes along the continuation change trend. The existing object association may be, for example, a sofa and a tea table, and the elderly may temporarily get up to take an object on the tea table. In order to monitor the elderly, attention also needs to be paid to such associated objects.

[0099] Embodiment 8:

[0100] In one embodiment, the continuation change trend of the human bounding box draws the approaching distance curve of the object bounding box of each associated object approached by the human bounding box, respectively, including:

[0101] Obtaining the approaching distance change sequence and the change time sequence of the object bounding box of each associated object when the human bounding box continues to change along the change trend;

[0102] Based on the curve template, the approaching distance curve is drawn according to the approaching distance change sequence and the change time sequence of the object bounding box of the same associated object.

[0103] The approaching distance change sequence contains the distance between the human bounding box and the object bounding box of the same associated object at different time points, and the change time sequence contains the time points. The coordinate system of the curve template has time as the horizontal axis and distance as the vertical axis. According to the approaching distance change sequence and the change time sequence of the object bounding box of the same associated object, the approaching distance curve is drawn based on the same.

[0104] Embodiment 9:

[0105] In one embodiment, the Internet of Things-based old-age service management method further comprises:

[0106] The control module 2 is configured to control the Internet of Things to respond to the control instruction issued by the guardian remotely.

[0107] The guardian can remotely issue a control instruction, and the Internet of Things responds to it, thereby realizing remote intervention.

[0108] The embodiment of the present application provides an Internet of Things-based old-age service management system, as shown in the accompanying drawings, comprising: Figure 2

[0109] The service item quick selection table recommendation generation module 1 is configured to recommend and generate a service item quick selection table based on the Internet of Things according to the current position of the old person and the predicted service demand.

[0110] The Internet of Things response control module 2 is configured to control the Internet of Things to respond to the service item selected by the old person from the service item quick selection table.

[0111] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.​

Claims

1. A method for managing elderly care services based on the Internet of Things, characterized in that, include: Based on the Internet of Things, a quick selection list of services is generated by recommending services based on the elderly’s current location and predicted service needs. The IoT system controls the elderly to select services from a quick selection list. Also includes: Multiple second IoT devices within the service space where the elderly person's current location is determined from the Internet of Things (IoT) support augmented reality modeling; Control each second IoT device to jointly perform augmented reality modeling of the service space where the elderly are currently located, and obtain an augmented reality model; Based on virtual cameras and augmented reality models, guardians can remotely provide companionship and monitoring for the elderly. The method, based on a virtual camera and augmented reality model, assists guardians in remotely providing companionship and monitoring for the elderly, including: Whenever the change in the bounding box of the elderly person in the augmented reality model exceeds the change threshold per unit time, a new companion area and corresponding virtual camera control constraints are planned in real time in the augmented reality model based on the continued change trend of the bounding box. Move the virtual camera to the new companion area, and control the virtual camera accordingly after the move is completed, based on the virtual camera control constraints. It continuously receives monitoring footage captured by the virtual camera during the controlled process after the movement is completed, and remotely transmits it back to the guardian in real time.

2. The IoT-based elderly care service management method as described in claim 1, characterized in that, Based on the Internet of Things (IoT), and according to the elderly person's current location and predicted service needs, a service item quick selection table is generated, including: The Internet of Things (IoT) determines the current location of the elderly within the service space, supporting the prediction of service needs through multiple first-order IoT devices and corresponding supporting functions. Based on each first IoT device and its corresponding supporting functions, multiple service items are generated; Based on the quick selection table template, a quick selection table for each service item is generated.

3. The IoT-based elderly care service management method as described in claim 1, characterized in that, The control IoT response to the elderly selecting service items from the service item quick selection table includes: Connect to the first IoT device selected by the elderly from the service item quick selection table in the Internet of Things, and control the execution of the supporting functions of the service item selected by the elderly from the service item quick selection table.

4. The IoT-based elderly care service management method as described in claim 1, characterized in that, The continuous change trend based on the human bounding box, and the real-time planning of new companion areas and corresponding virtual camera control constraints in the augmented reality model, include: Identify object bounding boxes of multiple related objects in an augmented reality model that have a standard correlation with the continuing trend of the human bounding box; Based on the continued changing trend of the human body bounding box, draw the proximity distance curves of the human body bounding box to the respective object bounding boxes of each associated object. Generate multiple target curve sets; wherein, the same target curve set contains multiple close curves whose pairwise similarity exceeds a similarity threshold; The target curve sets are traversed sequentially from largest to smallest based on the number of nearest curves in each set. During each traversal, the following operation is performed: For each associated object corresponding to the nearest distance curve in the traversed target curve set, feature description is performed to obtain feature description vector. Planning knowledge and cutoff representation degree are then matched to the feature description vector respectively. When the cutoff representation degree exceeds the representation degree threshold, stop traversing the next target curve set, and based on planning knowledge and historical planning knowledge obtained from previous traversals of other target curve sets, jointly plan a new companion area and corresponding virtual camera control constraints in real time in the augmented reality model; otherwise, continue traversing the next target curve set.

5. The IoT-based elderly care service management method as described in claim 4, characterized in that, The standard association relationships include: As the human body's bounding box continues to change along its trend, it will pass through related objects; And / or, When the human body bounding box continues to change along a trend, it will enter the risk zone of the associated object; And / or, The human body bounding box continues to change along a trend of change, and there are object relationships between the objects it contacts before and after the change.

6. The IoT-based elderly care service management method as described in claim 4, characterized in that, Based on the continued changing trend of the human bounding box, the proximity distance curves of the human bounding box to the respective object bounding boxes of each associated object are plotted, including: Obtain the proximity distance change sequence and change time sequence of the respective object bounding boxes of each associated object as the human bounding box changes along a continuous change trend; Based on the curve template, a proximity distance curve is drawn according to the proximity distance change sequence and change time sequence of the bounding boxes of the same related objects.

7. The IoT-based elderly care service management method as described in claim 1, characterized in that, Also includes: Control the Internet of Things to respond to control commands remotely issued by the guardian.

8. An Internet of Things-based elderly care service management system, characterized in that, include: The service item quick selection table recommendation generation module is used to generate a service item quick selection table based on the Internet of Things, according to the elderly’s current location and predicted service needs; The IoT response control module is used to control the IoT response to the services selected by the elderly from the service selection table; Also includes: It also includes a companion monitoring module, used for: Multiple second IoT devices within the service space where the elderly person's current location is determined from the Internet of Things (IoT) support augmented reality modeling; Control each second IoT device to jointly perform augmented reality modeling of the service space where the elderly are currently located, and obtain an augmented reality model; Based on virtual cameras and augmented reality models, guardians can remotely provide companionship and monitoring for the elderly. The method, based on a virtual camera and augmented reality model, assists guardians in remotely providing companionship and monitoring for the elderly, including: Whenever the change in the bounding box of the elderly person in the augmented reality model exceeds the change threshold per unit time, a new companion area and corresponding virtual camera control constraints are planned in real time in the augmented reality model based on the continued change trend of the bounding box. Move the virtual camera to the new companion area, and control the virtual camera accordingly after the move is completed, based on the virtual camera control constraints. It continuously receives monitoring footage captured by the virtual camera during the controlled process after the movement is completed, and remotely transmits it back to the guardian in real time.

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