CN115601923A - Early warning method, device, equipment and medium for intelligent wearable equipment - Google Patents

Abstract

The application discloses an early warning method, an early warning device and an early warning medium for intelligent wearable equipment, which relate to the technical field of intelligent equipment and comprise the following steps: acquiring a current height value monitored by the intelligent wearable device at a current position; judging whether the current height value exceeds a preset height threshold value or not; if the height of the intelligent wearable device does not exceed the preset height, acquiring height change information and motion information of the intelligent wearable device, and determining a corresponding motion scene type based on the height change information and the motion information; and judging whether the current height value exceeds a preset scene threshold value corresponding to the motion scene type, and if so, sending an early warning message to user equipment connected with the intelligent wearable equipment. According to the scheme, the height change information and the motion information can be monitored in real time, and the early warning information is sent to the user equipment when the current height value is abnormal, namely exceeds the corresponding threshold value, so that the early warning is carried out on the falling event of the wearer of the intelligent wearable equipment.

Description

An early warning method, device, equipment and medium for a smart wearable device

technical field

The present invention relates to the technical field of smart devices, in particular to an early warning method, device, device and medium for smart wearable devices.

Background technique

Smart wearable device is a general term for the application of wearable technology to intelligently design daily wear and develop wearable devices, such as watches, bracelets, glasses, clothing, etc. In a broad sense, smart wearable devices include full-featured, large-sized, complete or partial functions without relying on smartphones, such as smart watches or smart glasses; Used in conjunction with mobile phones, such as various smart bracelets and smart jewelry for physical sign monitoring.

Falls by children have long been a safety concern. For example, when children, especially infants, are learning to crawl and walk and can independently climb to high places such as beds and sofas, parents cannot follow up 24 hours a day because they are dealing with other things or doing housework. Stand alone at a high place, there is a risk of falling from a high place. At present, in order to prevent children from falling from heights, guardrails and other protective equipment are mainly used to prevent falls by intercepting, but this method has the problem of bumping children and causing children to be stuck in a small space. However, there are still very few products on the market that link smart wearable devices to children's falls.

To sum up, how to link smart wearable devices with children's safety issues, and how to give early warning to the wearer of smart wearable devices when they fall is a problem to be solved at present.

Contents of the invention

In view of this, the purpose of the present invention is to provide an early warning method, device, equipment and medium for smart wearable devices, which can link smart wearable devices with children's safety issues, and monitor the fall event of the wearer of the smart wearable device. early warning. The specific plan is as follows:

In the first aspect, the present application discloses an early warning method for a smart wearable device, including:

Obtain the current height value monitored by the smart wearable device at the current location;

judging whether the current height value exceeds a preset height threshold;

If not, obtain the height change information and motion information of the smart wearable device, and determine the corresponding motion scene type based on the height change information and the motion information;

It is judged whether the current altitude value exceeds the preset scene threshold corresponding to the sports scene type, and if so, an early warning message is sent to the user equipment connected to the smart wearable device.

Optionally, after the judging whether the current altitude value exceeds a preset altitude threshold, it also includes:

If it exceeds, an early warning message is sent to the user equipment connected to the smart wearable device.

Optionally, the obtaining the current height value monitored by the smart wearable device at the current location includes:

Obtain the current air pressure value collected by the smart wearable device at the current location;

A current altitude value corresponding to the current air pressure value is determined based on a preset correspondence between the air pressure value and the altitude value.

Optionally, the early warning method of the smart wearable device also includes:

The smart wearable device pre-collects the air pressure value information of each target position in the target scene, and determines the target altitude value corresponding to each air pressure value information based on the preset correspondence relationship;

A minimum altitude value among the target altitude values is determined, and the minimum altitude value is determined as the preset altitude threshold.

Optionally, the early warning method of the smart wearable device also includes:

Obtain the height information of the target user, and set preset scene thresholds corresponding to different sports scene types based on the height information.

Optionally, the acquiring the height change information and motion information of the smart wearable device, and determining the corresponding motion scene type based on the height change information and the motion information includes:

Obtain the height difference between each adjacent position monitored by the smart wearable device within the target time period, and obtain acceleration information collected by the acceleration sensor in the smart wearable device;

The corresponding motion scene type is determined based on the height difference and the acceleration information between adjacent positions.

Optionally, the determining the corresponding motion scene type based on the height difference between adjacent positions and the acceleration information includes:

judging whether the height difference between each adjacent position is greater than zero;

If so, it is determined that the current motion scene is the first type of motion scene; if not, it is judged whether the smart wearable device has acceleration in the x, y, and z directions;

If yes, it is determined that the current motion scene is the second type of motion scene; if not, it is determined that the current motion scene is the third type of motion scene.

In the second aspect, the present application discloses an early warning device for a smart wearable device, including:

The height value acquisition module is used to obtain the current height value monitored by the smart wearable device at the current position;

A first judging module, configured to judge whether the current height value exceeds a preset height threshold;

The motion scene determination module is used to obtain the height change information and motion information of the smart wearable device if it does not exceed, and determine the corresponding motion scene type based on the height change information and the motion information;

The second judging module is used to judge whether the current height value exceeds the preset scene threshold corresponding to the sports scene type, and if so, send an early warning message to the user equipment connected to the smart wearable device.

In a third aspect, the present application discloses a smart wearable device, including:

memory for storing computer programs;

The processor is configured to execute the computer program, so as to realize the steps of the aforementioned disclosed early warning method for smart wearable devices.

In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the steps of the aforementioned early warning method for smart wearable devices are implemented.

It can be seen that this application obtains the current height value monitored by the smart wearable device at the current location; judges whether the current height value exceeds the preset height threshold; if not, obtains the height change information and motion information of the smart wearable device, And determine the corresponding motion scene type based on the height change information and the motion information; judge whether the current height value exceeds the preset scene threshold corresponding to the motion scene type, and if so, report to the intelligent The user equipment connected to the wearable device sends an alert message. It can be seen that, after the present application obtains the current height value monitored by the smart wearable device at the current position, it compares the current height value with the preset height threshold to determine whether the current height value exceeds the preset height threshold. Exceeded, and then determine the corresponding sports scene type according to the acquired height change information and motion information of the smart wearable device, and then compare the current height value with the preset scene threshold of the corresponding sports scene type, if it exceeds the preset scene Threshold, an early warning message is sent to the user equipment connected to the smart wearable device, so as to remind the user that there may be an abnormal situation at present, and it needs to be dealt with as soon as possible, and then the wearer of the smart wearable device falls.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

FIG. 1 is a flow chart of an early warning method for a smart wearable device disclosed in the present application;

FIG. 2 is a flow chart of a specific early warning method for a smart wearable device disclosed in the present application;

FIG. 3 is a schematic diagram of an early warning process of a specific smart wearable device disclosed in the present application;

FIG. 4 is a schematic structural diagram of an early warning device for a smart wearable device disclosed in the present application;

FIG. 5 is a structural diagram of a smart wearable device disclosed in the present application.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

At present, in order to prevent children from falling from high places, the method of interception is mainly used to prevent falling, and this method has the problem of bumping children and causing children to be stuck in a small space. To this end, the embodiment of the present application discloses an early warning method, device, device and medium for a smart wearable device, which can link the smart wearable device with children's safety issues, and provide early warning for the fall event of the wearer of the smart wearable device .

Referring to Fig. 1, an embodiment of the present application discloses an early warning method for a smart wearable device, the method comprising:

Step S11: Obtain the current height value monitored by the smart wearable device at the current location.

In this embodiment, the current height value monitored by the smart wearable device at the current location is obtained, that is, the smart wearable device can monitor the height of the location in real time through the height sensor installed inside. Wherein, the smart wearable device specifically may include, but is not limited to, wearable smart devices such as smart watches and smart bracelets.

Step S12: judging whether the current altitude value exceeds a preset altitude threshold.

In this embodiment, after the current height value monitored by the smart wearable device is acquired, the current height value is compared with a preset height threshold to determine whether the current height value exceeds the preset height threshold.

Step S13: If not, obtain the height change information and motion information of the smart wearable device, and determine the corresponding motion scene type based on the height change information and the motion information.

In a specific implementation, if the current height value does not exceed the preset height threshold, it is also necessary to obtain the height change information and motion information of the smart wearable device, so as to determine the corresponding motion scene type based on the height change information and motion information. That is, if the current height value does not exceed the preset height threshold, it is necessary to further implement motion scene recognition to determine which type of motion scene the current scene is.

In another specific implementation manner, if the current altitude value exceeds the preset altitude threshold, an early warning message is sent to the user equipment connected to the smart wearable device. That is, if the current height value has exceeded the preset height threshold, it means that the wearer of the device, that is, the child, is currently in a high position, and an early warning message needs to be sent to the user device connected to the smart wearable device to remind parents that emergency treatment is required , to prevent children from falling from heights.

Step S14: Judging whether the current height value exceeds the preset scene threshold corresponding to the sports scene type, and if so, sending an early warning message to the user equipment connected to the smart wearable device.

In this embodiment, after the current sports scene type is determined, the current altitude is compared with a preset scene threshold corresponding to the sports scene type to determine whether the preset scene threshold is exceeded. If the current height value has exceeded the preset scene threshold, an early warning message will be sent to the user equipment connected to the smart wearable device to remind parents that emergency treatment is needed to prevent children from falling from heights; height position information at the location, and make subsequent judgments. It should be pointed out that a corresponding scene threshold is preset for each type of motion scene, and the scene thresholds corresponding to different motion scenes may be the same or different, which is not limited in this embodiment.

It can be seen that this application obtains the current height value monitored by the smart wearable device at the current location; judges whether the current height value exceeds the preset height threshold; if not, obtains the height change information and motion information of the smart wearable device, And determine the corresponding motion scene type based on the height change information and the motion information; judge whether the current height value exceeds the preset scene threshold corresponding to the motion scene type, and if so, report to the intelligent The user equipment connected to the wearable device sends an alert message. It can be seen that, after the present application obtains the current height value monitored by the smart wearable device at the current position, it compares the current height value with the preset height threshold to determine whether the current height value exceeds the preset height threshold. Exceeded, and then determine the corresponding sports scene type according to the acquired height change information and motion information of the smart wearable device, and then compare the current height value with the preset scene threshold of the corresponding sports scene type, if it exceeds the preset scene threshold, an early warning message is sent to the user equipment connected to the smart wearable device, so as to remind the user that there may be an abnormal situation at present, and it needs to be dealt with as soon as possible. The above solution can monitor height change information and motion information in real time, and send warning information to the user equipment when the current height value is abnormal, that is, exceeds the corresponding threshold, so as to warn the wearer of the smart wearable device of a fall event.

Referring to Fig. 2 and Fig. 3, the embodiment of the present application discloses a specific early warning method for smart wearable devices. Compared with the previous embodiment, this embodiment further explains and optimizes the technical solution. Specifically include:

Step S21: Obtain the current air pressure value collected by the smart wearable device at the current location, and determine the current altitude value corresponding to the current air pressure value based on the preset correspondence between the air pressure value and the altitude value.

In this embodiment, when obtaining the current altitude value of the current location, specifically, the current air pressure value collected by the smart wearable device at the current location can be obtained first, and then the air pressure value and the altitude value can be determined according to the preset correspondence between the air pressure value and the current altitude value. Altitude value corresponding to air pressure value. In the preset corresponding relationship, the larger the altitude value, the smaller the air pressure value; the smaller the altitude value, the larger the air pressure value.

Step S22: judging whether the current altitude value exceeds a preset altitude threshold.

In this embodiment, it is necessary to determine whether the current height value exceeds a preset height threshold. In a specific implementation, the method of determining the preset altitude threshold may include: collecting the air pressure value information of each target position in the target scene in advance through the smart wearable device, and determining the air pressure value information related to each air pressure value based on the preset correspondence relationship. The target height value corresponding to the value information; determine the minimum height value among the target height values, and determine the minimum height value as the preset height threshold. It can be understood that, firstly, the air pressure value information of each target location in the target scene can be pre-collected through the smart wearable device, and then the corresponding target altitude value can be determined according to the preset correspondence between the air pressure value and the altitude value, and then the target altitude The minimum altitude value among the values is determined as the preset altitude threshold. For example, assuming that the target scene is the user's home, the user can collect the height information of the home after getting smart wearable devices such as smart watches and smart bracelets. The location is left for one hour to collect the corresponding barometric pressure information. Then, according to the preset corresponding relationship between the air pressure value and the altitude value, the corresponding target altitude value is determined, and then the minimum altitude value among these target altitude values is determined as the preset altitude threshold value. It can be understood that, in order to prevent children from falling from high places, the preset height threshold should be set as small as possible. Therefore, in this embodiment, the minimum height value in the target height value is determined as the preset height threshold, thereby reducing Risk of children falling from heights.

Step S23: If not, obtain the height difference between adjacent positions monitored by the smart wearable device within the target time period, and obtain the acceleration information collected by the acceleration sensor in the smart wearable device.

In this embodiment, if the current height value does not exceed the preset height threshold, scene recognition needs to be performed according to the height change information and motion information. In a specific implementation, it is necessary to obtain the height difference between adjacent positions monitored by the smart wearable device within a target time period, and to obtain acceleration information collected by the acceleration sensor in the smart wearable device. Among them, the target time period can be set by yourself, the main purpose of obtaining the height difference between adjacent positions is to judge whether the current height is in a state of continuous rise, and the main purpose of obtaining acceleration information is to determine the direction distribution of acceleration.

Step S24: Determine the corresponding motion scene type based on the height difference and the acceleration information between adjacent positions.

In this embodiment, it can be understood that acquiring the height difference and acceleration information between adjacent positions is mainly used to determine the corresponding motion scene type. In a specific implementation manner, the determination of the corresponding motion scene type based on the height difference between each adjacent position and the acceleration information includes: judging whether the height difference between each adjacent position is uniform greater than zero; if so, then determine that the current motion scene is the first type of motion scene; if not, then determine whether the smart wearable device has acceleration in the x, y, and z directions; if so, then determine that the current motion scene is the second type A sports scene; if not, it is determined that the current sports scene is a third type of sports scene.

That is, it is first determined whether the height difference between adjacent positions is greater than zero, and if so, it is determined that the current motion scene is the first type of motion scene. Among them, the first type of motion scene can be a scene that represents a child moving to a high place. It is understandable that if the height difference between adjacent positions is greater than zero within a period of time, it means that the height is in a continuous state during this period. The state of rising means that the child is currently moving to a higher place. In addition, if the height differences between adjacent positions are not all greater than zero, that is, the child is not in a state of continuous rise in height during this period of time, but only changes in height, that is, the height sometimes rises or sometimes falls state, it is further judged whether the smart wearable device has acceleration in the x, y, and z directions. If the smart wearable device has accelerations in the x, y, and z directions, it is determined that the current motion scene is the second type of motion scene, where the second type of motion scene can be specifically expressed as a random swinging action of the hand in a child's life scene, such as Hand movement information detected when eating and holding things. On the contrary, if the smart wearable device does not have acceleration in the x, y, and z directions, that is, it only has acceleration in a certain direction or in a certain two directions, it is determined that the current motion scene is the third type of motion scene. Among them, the third type of motion scene can include a scene of children stretching their arms or a scene of children climbing, etc. In the scene of children stretching their arms, there can be acceleration in the x and z directions; in the scene of children climbing, it can specifically be in the z direction There is acceleration.

Step S25: Judging whether the current altitude value exceeds the preset scene threshold corresponding to the sports scene type, and if so, sending an early warning message to the user equipment connected to the smart wearable device.

In this embodiment, when setting the preset scene threshold corresponding to the sports scene type, it may specifically include: acquiring the height information of the target user, and setting the preset scene threshold corresponding to different sports scene types based on the height information . It can be understood that the target user mentioned above is the wearer of the smart wearable device. In this embodiment, it specifically refers to a child. That is, when setting the preset scene threshold, it can be set according to the height information of the child. In a specific implementation manner, the preset scene threshold corresponding to the above-mentioned first type of sports scene can be set to 2/3 of the child's height, and the risk corresponding to the first type of sports scene is relatively high, so in the first type of sports scene , if the current height value exceeds 2/3 of the child's height, it is necessary to send an early warning message to the user equipment to remind the parents to arrive at the scene as soon as possible for corresponding processing; the preset scene corresponding to the second type of motion scene and the third type of motion scene can be The thresholds are all set to the height of the child, so when the current height exceeds the height of the child, an early warning message needs to be sent to the user device to remind the parents to arrive at the scene as soon as possible.

Wherein, for a more specific processing procedure of the above-mentioned step S25, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not repeated here.

It can be seen that, in the embodiment of the present application, when obtaining the current altitude value of the current location, specifically, the current air pressure value collected by the smart wearable device at the current location can be obtained first, and then determined according to the preset correspondence between the air pressure value and the altitude value. The altitude value corresponding to the current air pressure value. Moreover, when performing scene recognition based on altitude change information and motion information, the height difference between adjacent locations monitored within the target time period and the acceleration information collected by the acceleration sensor are mainly used to first determine the location of each adjacent location. Whether the height difference between them is greater than zero, if so, it will be directly judged as the first type of sports scene, if not, then further judge whether the smart wearable device has acceleration in the x, y, z directions, if there is acceleration, then It is judged as the second type of motion scene, and if there is acceleration in only one direction or two directions, it is judged as the third type of motion scene. Among them, each type of sports scene has a threshold setting based on the height information of the child in advance. Therefore, after the type of sports scene is determined, it is judged whether the current height value exceeds the preset scene threshold. If it exceeds, an early warning message will be sent to the user equipment. . Through the above scheme, the height difference and acceleration information between adjacent positions can be monitored in real time within the target time period to determine the corresponding scene type, and when the current height value is abnormal, that is, exceeds the threshold corresponding to the scene type, send The user equipment sends early warning information, and then warns the wearer of the smart wearable device of a fall event.

Referring to Figure 4, the embodiment of the present application discloses an early warning device for a smart wearable device, which includes:

Altitude value acquisition module 11, used to acquire the current altitude value monitored by the smart wearable device at the current position;

A first judging module 12, configured to judge whether the current height value exceeds a preset height threshold;

The motion scene determination module 13 is used to obtain the height change information and motion information of the smart wearable device if it does not exceed, and determine the corresponding motion scene type based on the height change information and the motion information;

The second judging module 14 is used to judge whether the current height value exceeds the preset scene threshold corresponding to the sports scene type, and if so, send an early warning message to the user equipment connected to the smart wearable device.

It can be seen that this application obtains the current height value monitored by the smart wearable device at the current location; judges whether the current height value exceeds the preset height threshold; if not, obtains the height change information and motion information of the smart wearable device, And determine the corresponding motion scene type based on the height change information and the motion information; judge whether the current height value exceeds the preset scene threshold corresponding to the motion scene type, and if so, report to the intelligent The user equipment connected to the wearable device sends an alert message. It can be seen that, after the present application obtains the current height value monitored by the smart wearable device at the current position, it compares the current height value with the preset height threshold to determine whether the current height value exceeds the preset height threshold. Exceeded, and then determine the corresponding sports scene type according to the acquired height change information and motion information of the smart wearable device, and then compare the current height value with the preset scene threshold of the corresponding sports scene type, if it exceeds the preset scene Threshold, an early warning message is sent to the user equipment connected to the smart wearable device, so as to remind the user that there may be an abnormal situation at present, and it needs to be dealt with as soon as possible, and then the wearer of the smart wearable device falls.

FIG. 5 is a schematic structural diagram of a smart wearable device provided by an embodiment of the present application. Specifically, it may include: at least one processor 21 , at least one memory 22 , a power supply 23 , a communication interface 24 , an input/output interface 25 and a communication bus 26 . Wherein, the memory 22 is used to store a computer program, and the computer program is loaded and executed by the processor 21 to realize the correlation in the early warning method of the smart wearable device performed by the smart wearable device disclosed in any of the foregoing embodiments. step.

In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the smart wearable device 20; the communication interface 24 can create a data transmission channel between the smart wearable device 20 and external devices, and the communication protocol it follows is Any communication protocol that can be applied to the technical solution of the present application is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the external, and its specific interface type can be selected according to specific application needs. No specific limitation is made here.

Wherein, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. Processor 21 can adopt at least one hardware form in DSP (Digital Signal Processing, digital signal processing), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array, programmable logic array) accomplish. Processor 21 may also include a main processor and a coprocessor, and the main processor is a processor for processing data in a wake-up state, also known as a CPU (Central Processing Unit, central processing unit); Low-power processor for processing data in standby state. In some embodiments, the processor 21 may be integrated with a GPU (Graphics Processing Unit, image processor), and the GPU is used for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may further include an AI (Artificial Intelligence, artificial intelligence) processor, where the AI processor is used to process computing operations related to machine learning.

In addition, the memory 22, as a resource storage carrier, can be a read-only memory, random access memory, magnetic disk or optical disk, etc., and the resources stored thereon include the operating system 221, computer program 222 and data 223, etc., and the storage method can be short-term storage or permanent storage.

Among them, the operating system 221 is used to manage and control each hardware device and computer program 222 on the smart wearable device 20, so as to realize the calculation and processing of the massive data 223 in the memory 22 by the processor 21, which can be Windows, Unix, Linux, etc. . In addition to the computer program 222 that can be used to complete the warning method of the smart wearable device performed by the smart wearable device 20 disclosed in any of the above embodiments, the computer program 222 can further include computer programs that can be used to complete other specific tasks. The data 223 may not only include the data received by the smart wearable device and transmitted from the external device, but also include the data collected by its own input and output interface 25 and the like.

Further, the embodiment of the present application also discloses a computer-readable storage medium, where a computer program is stored in the storage medium. When the computer program is loaded and executed by a processor, the intelligent The method steps performed in the early warning process of the wearable device.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same or similar parts of each embodiment can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for the related information, please refer to the description of the method part.

Professionals can further realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software or a combination of the two. In order to clearly illustrate the possible For interchangeability, in the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be directly implemented by hardware, software modules executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

Finally, it should also be noted that in this text, relational terms such as first and second etc. are only used to distinguish one entity or operation from another, and do not necessarily require or imply that these entities or operations, any such actual relationship or order exists. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The early warning method, device, equipment and storage medium of a smart wearable device provided by the present invention have been introduced in detail above. In this paper, specific examples are used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only It is used to help understand the method of the present invention and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation and scope of application. In summary, this The content of the description should not be construed as limiting the present invention.

Claims (10)

1. An early warning method for a smart wearable device, characterized in that it comprises: Obtain the current height value monitored by the smart wearable device at the current location; judging whether the current height value exceeds a preset height threshold; If not, obtain the height change information and motion information of the smart wearable device, and determine the corresponding motion scene type based on the height change information and the motion information; It is judged whether the current altitude value exceeds the preset scene threshold corresponding to the sports scene type, and if so, an early warning message is sent to the user equipment connected to the smart wearable device. 2. The early warning method for smart wearable devices according to claim 1, characterized in that, after the judging whether the current height value exceeds a preset height threshold, further comprising: If it exceeds, an early warning message is sent to the user equipment connected to the smart wearable device. 3. The early warning method of the smart wearable device according to claim 1, wherein said obtaining the current height value monitored by the smart wearable device at the current position comprises: Obtain the current air pressure value collected by the smart wearable device at the current location; A current altitude value corresponding to the current air pressure value is determined based on a preset correspondence between the air pressure value and the altitude value. 4. The early warning method of intelligent wearable device according to claim 1, is characterized in that, also comprises: The smart wearable device pre-collects the air pressure value information of each target position in the target scene, and determines the target altitude value corresponding to each air pressure value information based on the preset correspondence relationship; A minimum altitude value among the target altitude values is determined, and the minimum altitude value is determined as the preset altitude threshold. 5. The early warning method of intelligent wearable device according to claim 1, is characterized in that, also comprises: Obtain the height information of the target user, and set preset scene thresholds corresponding to different sports scene types based on the height information. 6. The early warning method for a smart wearable device according to any one of claims 1 to 5, wherein the acquisition of the height change information and motion information of the smart wearable device is based on the height change information and the The above motion information determines the corresponding motion scene type, including: Obtain the height difference between each adjacent position monitored by the smart wearable device within the target time period, and obtain the acceleration information collected by the acceleration sensor in the smart wearable device; The corresponding motion scene type is determined based on the height difference and the acceleration information between adjacent positions. 7. The early warning method for smart wearable devices according to claim 6, wherein the determination of the corresponding motion scene type based on the height difference between each adjacent position and the acceleration information includes: judging whether the height difference between each adjacent position is greater than zero; If so, it is determined that the current motion scene is the first type of motion scene; if not, it is judged whether the smart wearable device has acceleration in the x, y, and z directions; If yes, it is determined that the current motion scene is the second type of motion scene; if not, it is determined that the current motion scene is the third type of motion scene. 8. An early warning device for a smart wearable device, characterized in that it comprises: The height value acquisition module is used to obtain the current height value monitored by the smart wearable device at the current position; A first judging module, configured to judge whether the current height value exceeds a preset height threshold; The motion scene determination module is used to obtain the height change information and motion information of the smart wearable device if it does not exceed, and determine the corresponding motion scene type based on the height change information and the motion information; The second judging module is used to judge whether the current height value exceeds the preset scene threshold corresponding to the sports scene type, and if so, send an early warning message to the user equipment connected to the smart wearable device. 9. A smart wearable device, characterized in that it comprises: memory for storing computer programs; The processor is configured to execute the computer program to realize the steps of the early warning method for the smart wearable device according to any one of claims 1 to 7. 10. A computer-readable storage medium, characterized in that it is used to store a computer program; wherein, when the computer program is executed by a processor, the early warning method of the smart wearable device according to any one of claims 1 to 7 is realized A step of.

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