CN111638751B

CN111638751B - Safety early warning method and device based on wearable equipment and wearable equipment

Info

Publication number: CN111638751B
Application number: CN202010423744.XA
Authority: CN
Inventors: 甘绍光
Original assignee: Guangdong Genius Technology Co Ltd
Current assignee: Guangdong Genius Technology Co Ltd
Priority date: 2020-05-19
Filing date: 2020-05-19
Publication date: 2023-11-24
Anticipated expiration: 2040-05-19
Also published as: CN111638751A

Abstract

The embodiment of the application relates to the technical field of wearable equipment, and discloses a safety early warning method and device based on the wearable equipment and the wearable equipment. The method comprises the following steps: acquiring position information of the wearable equipment in real time; when the position information is used for indicating that the wearable device is located in the area where the water area is located, obtaining wading information of the wearable device; acquiring surrounding environment information of the wearable device; determining the current safety degree value of the wearable equipment according to the position information, wading information and surrounding environment information, and acquiring a safety grade corresponding to the safety degree value; and if the safety level is lower than the preset level, alarming in a first alarming mode corresponding to the safety level. By implementing the embodiment of the application, the wearable equipment can be more intelligent, and the personal safety of a user is further ensured.

Description

Safety early warning method and device based on wearable equipment and wearable equipment

Technical Field

The application relates to the technical field of wearable equipment, in particular to a safety early warning method and device based on the wearable equipment and the wearable equipment.

Background

The user group of the wearable device (such as a telephone watch) is mostly children, but the self-protection consciousness and the self-protection ability of the children are generally insufficient, the drowning event of the children occurs every year, and the drowning is a major factor causing the abnormal death of the children in recent years, so parents are worrying about the personal safety of the children.

Some wearable devices with wading alarm function also appear on the market today, and when the wearable device wades, alarm information can be automatically sent out. However, in practice, it is found that sometimes the child goes to the wash station to wash his hands, and the wearable device also gives an alarm, which causes unnecessary power loss and even frightens the user, resulting in poor user experience. It can be seen that the safety precaution of the existing wearable equipment is not intelligent enough.

Disclosure of Invention

The embodiment of the application discloses a safety early warning method and device based on wearable equipment and the wearable equipment, which can enable the wearable equipment to be more intelligent and further ensure personal safety of a user.

The first aspect of the embodiment of the application discloses a safety precaution method based on wearable equipment, which comprises the following steps:

acquiring the position information of the wearable equipment in real time;

when the position information is used for indicating that the wearable equipment is located in an area where a water area is located, wading information of the wearable equipment is obtained; acquiring surrounding environment information of the wearable equipment;

determining a current safety degree value of the wearable equipment according to the position information, the wading information and the surrounding environment information, and acquiring a safety grade corresponding to the safety degree value;

And if the safety level is lower than a preset level, alarming in a first alarming mode corresponding to the safety level.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the determining, according to the location information, the wading information, and the surrounding environment information, a current security value of the wearable device includes:

inputting the position information, the wading information and the surrounding environment information into a pre-established early warning model so as to analyze through the early warning model;

acquiring analysis results of the early warning model aiming at the position information, the wading information and the surrounding environment information;

and determining the current safety value of the wearable equipment according to the analysis result.

As an optional implementation manner, in the first aspect of the embodiment of the present application, after the alarming in the first alarming manner corresponding to the security level, the method further includes:

acquiring the distance between the mobile terminal bound with the wearable device and the wearable device;

determining a second alarm mode from at least one preset alarm mode according to the distance; wherein, the at least one alarm mode is an alarm mode preset by a user of the mobile terminal;

And alarming the mobile terminal in the second alarming mode.

acquiring a security value change trend of the wearable equipment;

if the change trend of the safety value is a descending trend, identifying whether the water area where the wearable equipment is positioned is an outdoor dangerous water area or an indoor swimming pool according to the surrounding environment information;

if the water area where the wearable device is located is an outdoor dangerous water area, starting the Bluetooth function of the wearable device, and searching whether an electronic device for starting the Bluetooth function exists in the Bluetooth signal coverage area of the wearable device; if the electronic equipment is searched, modifying the Bluetooth user name of the wearable equipment into a user name carrying preset help-seeking information;

if the water area where the wearable equipment is positioned is an indoor swimming pool, acquiring communication identification information of at least one handheld terminal of a life saving person corresponding to the indoor swimming pool; and sending the preset distress information to each handheld terminal of the life saving staff through the communication identification information.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the identifying, according to the surrounding environmental information, whether the water area in which the wearable device is located is an outdoor dangerous water area or an indoor swimming pool includes:

if the surrounding environment information contains the characteristic information of the dangerous warning sign, recognizing that the water area where the wearable equipment is located is an outdoor dangerous water area;

and if the surrounding environment information contains the characteristic information of the swimming pool identification plate, recognizing that the water area where the wearable equipment is positioned is an indoor swimming pool.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the acquiring ambient environment information of the wearable device includes:

starting a camera module of the wearable equipment to shoot to obtain an ambient environment image;

identifying the surrounding environment image and extracting image characteristic information;

and obtaining the surrounding environment information of the wearable equipment according to the image characteristic information.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the acquiring, in real time, location information of the wearable device includes:

acquiring satellite positioning information of the wearable equipment and air pressure data of the position of the wearable equipment in real time;

And acquiring the three-dimensional positioning information of the wearable equipment as the position information according to the satellite positioning information and the air pressure data.

The second aspect of the embodiment of the application discloses a safety precaution device based on wearable equipment, which comprises the following components:

the positioning unit is used for acquiring the position information of the wearable equipment in real time;

the wading detection unit is used for acquiring wading information of the wearable equipment when the position information is used for indicating that the wearable equipment is located in an area where a water area is located;

the acquisition unit is used for acquiring surrounding environment information of the wearable equipment when the position information is used for indicating that the wearable equipment is located in an area where a water area is located;

the determining unit is used for determining the current safety degree value of the wearable equipment according to the position information, the wading information and the surrounding environment information, and obtaining the safety grade corresponding to the safety degree value;

and the alarm unit is used for alarming in a first alarm mode corresponding to the safety level when the safety level is lower than a preset level.

A third aspect of an embodiment of the present application discloses a wearable device, including:

a memory storing executable program code;

A processor coupled to the memory;

the processor invokes the executable program codes stored in the memory to execute the security early warning method based on the wearable device disclosed in the first aspect of the embodiment of the application.

A fourth aspect of the embodiment of the present application discloses a computer-readable storage medium storing a computer program, where the computer program causes a computer to execute a security early warning method based on a wearable device disclosed in the first aspect of the embodiment of the present application. The computer readable storage medium includes ROM/RAM, magnetic disk or optical disk, etc.

A fifth aspect of the embodiments of the present application discloses a computer program product which, when run on a computer, causes the computer to perform part or all of the steps of any one of the methods of the first aspect.

A sixth aspect of the embodiments of the present application discloses an application publishing platform for publishing a computer program product, wherein the computer program product, when run on a computer, causes the computer to perform part or all of the steps of any one of the methods of the first aspect.

Compared with the prior art, the embodiment of the application has the following beneficial effects:

In the embodiment of the application, the position information of the wearable equipment is acquired in real time, when the position information is used for indicating that the wearable equipment is in the area where the water area is located, the wading information of the wearable equipment is acquired, the surrounding environment information of the wearable equipment is acquired, the current safety level of the wearable equipment is determined according to the position information, the wading information and the surrounding environment information, and the alarm is carried out in a first alarm mode corresponding to the safety level, so that the classified alarm can be carried out, the wearable equipment is more intelligent, and the personal safety of a user is further ensured.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of a security early warning method based on a wearable device according to an embodiment of the present application;

fig. 2 is a schematic flow chart of another security early warning method based on a wearable device according to an embodiment of the present application;

Fig. 3 is a schematic structural diagram of a security early warning device based on a wearable device according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of another security early warning device based on a wearable device according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a wearable device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

It should be noted that the terms "first," "second," "third," and the like in the description and in the claims of the present application are used for distinguishing between different objects and not for describing a particular sequential order. The terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

The method disclosed by the embodiment of the application is suitable for wearable equipment, and the wearable equipment can be wearable equipment such as intelligent watches, intelligent bracelets, intelligent rings, intelligent glasses and the like. The operating systems of the wearable devices include, but are not limited to, an Android operating system, an IOS operating system, a Symbian operating system, a Windows operating system, and the like. The execution body of the embodiment of the present application will be described in detail with reference to the accompanying drawings by taking the wearable device as an example, and it should be understood that the present application should not be limited in any way.

Referring to fig. 1, fig. 1 is a schematic flow chart of a security early warning method based on a wearable device according to an embodiment of the present application. As shown in fig. 1, the wearable device-based security pre-warning method may include the following steps:

101. the wearable device acquires the position information of the wearable device in real time.

In the embodiment of the application, the positioning function of the wearable device can simultaneously support the positioning technologies such as a global positioning system (Global Positioning System, GPS), a global satellite navigation (GLOBAL NAVIGATION SATELLITE SYSTEM, GLONASS) system, beidou, a base station, wi-Fi (Wireless Fidelity ), an acceleration sensor, an Assisted GPS (A-GPS), indoor positioning, an artificial intelligence (Artificial Intelligence, AI) algorithm and the like, so as to ensure that the position information acquired by the wearable device is accurate enough.

As an optional implementation manner, the wearable device may obtain a current travel plan of the user, where the travel plan includes at least a current planned arrival location of the user and a planned arrival time of each planned arrival location, and then the wearable device may recommend candidate travel routes for the user according to the travel plan, start a positioning function of the wearable device within a time range corresponding to each planned arrival time, so as to obtain a current position of the wearable device, and if the current position of the wearable device is not within an area range of the planned arrival location corresponding to the planned arrival time, determine that an actual travel route of the user deviates from the recommended candidate travel route, and start a real-time positioning function of the wearable device to obtain position information of the wearable device in real time. Alternatively, the area range of the planned arrival location may be in a neighborhood centered on the planned arrival location and having a radius of a specific distance; the time range corresponding to each planned arrival time may be obtained by calculating the planned arrival time in advance according to a preset time period and calculating the planned arrival time in a delayed manner according to the preset time period. For example, assume that the planned arrival time at a planned arrival location is 12:00, then 12: the time range of 00 may be (11:30-12:30), i.e. half a clock in advance on a 12-point basis or half a clock back on a 12-point basis.

As an optional implementation manner, the wearable device may further be provided with an air pressure sensing device, where the air pressure sensing device is used for detecting air pressure data of the position where the wearable device is located, so that the height of the current position where the wearable device is located can be determined according to the air pressure data, and further three-dimensional positioning is achieved. Specifically, the wearable device can acquire satellite positioning information of the wearable device and air pressure data of the position of the wearable device in real time, and acquire stereo positioning information of the wearable device as position information according to the satellite positioning information and the air pressure data. The stereotactic information may include latitude and longitude information and altitude information, among others.

By means of the implementation mode, the height of the position of the wearable device can be determined through the air pressure device, so that three-dimensional positioning is achieved, and the positioning function of the wearable device is diversified.

Alternatively, the barometric pressure data may be the atmospheric pressure in the ambient air where the wearable device is located, and the barometric pressure sensing device may be a barometer for measuring the atmospheric pressure, which may be a mercury barometer or a barometric barometer.

In some embodiments, after acquiring the location information of the wearable device in real time, the wearable device may further send a query request to the service device, where the query request at least includes latitude and longitude information included in the location information, and then the service device performs a query in a preset map gallery according to the latitude and longitude information after receiving the query request sent by the wearable device, where the preset map gallery may store boundary information and water area environment information of each water area, and further may query at least one water area in a specified neighborhood, where the specified neighborhood refers to a neighborhood with a location indicated by the latitude and longitude information as a center and a specified distance as a radius; after the service device inquires at least one water area, the boundary of each water area and the water area environment information are sent to the wearable device, so that the wearable device can judge that the position information of the wearable device is used for indicating the area where the wearable device is located when the distance between the position indicated by the position information of the wearable device and the boundary of any one water area is smaller than the specified distance.

By implementing the embodiment, whether the wearable device is positioned in the area where the water area is positioned can be determined based on the preset map library and the position information of the wearable device, and the accuracy of judging whether the wearable device is positioned in the area where the water area is positioned can be improved.

102. When the position information is used for indicating that the wearable device is located in the area where the water area is located, the wearable device acquires wading information and surrounding environment information of the wearable device.

In the embodiment of the application, wading information is taken as one of the basis for determining the safety level of the wearable equipment, can be obtained according to a signal detected by a play detection module built in the wearable equipment, is used for indicating the affinity-closeness relationship between the wearable equipment and water, and can comprise, but is not limited to, information for indicating the distance between the wearable equipment and the water area, information for indicating the surface moisture content of the wearable equipment, information for indicating the water depth of the wearable equipment and the like.

Alternatively, the water area may be an outdoor natural water area such as a sea, river or lake, and the land will be lower and lower from the flat land to the outdoor natural water area. In addition, the lower the topography is, the greater the atmospheric pressure is, and the higher the topography is, the lower the atmospheric pressure is. Therefore, the wearable device can determine the air pressure change trend of the wearable device in the preset time period by acquiring the air pressure data of the position of the wearable device, the air pressure change trend can be used for indicating the distance between the wearable device and the water area, when the air pressure change trend is an ascending trend, the distance between the wearable device and the water area is smaller and smaller, and when the air pressure change trend is a descending trend, the distance between the wearable device and the water area is larger and larger, so that the air pressure change trend is used as wading information of the wearable device, and the wading condition of the wearable device can be monitored based on the air pressure data of the position of the wearable device, so that the wearable device is more intelligent.

In the embodiment of the application, the surrounding environment information can include, but is not limited to, the surrounding people flow of the wearable device, the semantic recognition result of the communication content of personnel around the wearable device, the image characteristic information in the surrounding environment image of the wearable device, the water inflow depth of the wearable device, the weather information around the wearable device and the like.

Optionally, the manner in which the wearable device obtains the surrounding environment information may specifically be to collect audio data of the surrounding environment of the wearable device, analyze the audio data to obtain a surrounding people flow of the wearable device, and perform semantic recognition on the audio data to obtain a semantic recognition result, and then use the surrounding people flow and the semantic recognition result as the surrounding environment information. The smaller the surrounding people flow, the more remote the position of the wearable device can be determined, so the surrounding people flow can be used as one of the basis for determining the safety level of the wearable device, and the current safety level of the wearable device can be determined according to the recognized surrounding people flow of the wearable device and the communication content of surrounding people (including the wearer of the wearable device), so that the safety level of the wearable device is more accurate.

In the embodiment of the application, the acquisition sequence of the position information, wading information and surrounding environment information of the wearable equipment can be adjusted successively, and the application is not limited to the above. In some embodiments, the wearable device may first obtain the location information of the wearable device, and obtain the wading information and the surrounding environment information when the location information is used to indicate an area of the water area where the wearable device is located.

In other possible embodiments, optionally, the wearable device may acquire wading information of the wearable device in real time, acquire position information of the wearable device when the wading information is used for indicating that the wearable device is in a wading state, acquire surrounding environment information when the position information is used for indicating an area of a water area where the wearable device is located, determine a current security value of the wearable device according to the wading information, the position information and the surrounding environment information, acquire a security level corresponding to the security value, and alarm in an alarm mode corresponding to the security level. According to the embodiment, the wading detection device can detect wading, and the position information and the surrounding environment information of the wearable equipment are acquired to determine the security level when the wading state is met, so that the alarm can be given more pertinently.

103. The wearable device determines the current safety value of the wearable device according to the position information, the wading information and the surrounding environment information, and obtains the safety level corresponding to the safety value.

Optionally, the wearable device may determine the current security value of the wearable device according to the location information, the wading information and the surrounding environment information, then input the security value into a security level database, and query the security level database to obtain the security level corresponding to the security value as the current security level of the wearable device. Wherein the security value has a positive correlation with the security level. The security level data may store each security level and a security level value range corresponding to each security level, so after the wearable device determines the current security level value of the wearable device, the security level value may be input into the security level database to query the security level value range corresponding to the security level value, and obtain the security level corresponding to the security level value range.

104. If the security level is lower than the preset level, the wearable device alarms in a first alarm mode corresponding to the security level.

The preset level may be set by a developer according to an actual situation, and the number of security levels may be set according to an actual situation, which is not limited in the present application. When the security level is lower than the preset level, the user of the wearable device can be judged to be in a dangerous situation, so that security early warning is carried out. Each security level corresponds to at least one alarm mode including, but not limited to, light alarm, vibration alarm, text alarm, picture alarm, voice alarm, etc. Therefore, the first alarm mode can include at least one alarm mode, and when the wearable device alarms in the first alarm mode corresponding to the safety level, the wearable device can simultaneously alarm in the at least one alarm mode included in the first alarm mode, so that the wearable device can alarm together in multiple modes, and the alarm effect is increased.

Therefore, by implementing the method provided in the above embodiment, through acquiring the position information of the wearable device in real time, when the position information is used for indicating that the wearable device is located in the area where the water area is located, acquiring the wading information of the wearable device, and acquiring the surrounding environment information of the wearable device, determining the current security level of the wearable device according to the position information, the wading information and the surrounding environment information, and alarming in a first alarming mode corresponding to the security level, the wearable device can carry out hierarchical alarming, so that the wearable device is more intelligent, and the personal safety of a user is further ensured.

Referring to fig. 2, fig. 2 is a flow chart of another security early warning method based on a wearable device according to an embodiment of the present application. As shown in fig. 2, the wearable device-based security pre-warning method may include the following steps:

201. the wearable device acquires the position information of the wearable device in real time.

202. When the position information is used for indicating that the wearable device is located in the area where the water area is located, the wearable device acquires wading information and surrounding environment information of the wearable device.

In some embodiments, the manner in which the wearable device obtains the surrounding environment information may specifically be to start the camera module of the wearable device to capture a surrounding environment image, identify the surrounding environment image, extract image feature information, and obtain the surrounding environment information of the wearable device according to the image feature information. Further optionally, after the image feature information is extracted by the wearable device, whether the wearable device is involved or not may be further determined according to the image feature information, for example, whether the image feature information includes water feature information is determined, if so, the current water depth of the wearable device is determined according to the water feature information, and the current water depth of the wearable device is used as surrounding environment information of the wearable device.

By extracting the characteristics of the surrounding environment image, more meaningful information can be extracted from the surrounding environment image, so that the subsequent analysis of the surrounding environment information is facilitated to generate deeper understanding, and the determination accuracy of the security level is improved.

Optionally, the camera module of the wearable device can be used as a movable component to be arranged on the wearable device, and when receiving the starting instruction, the camera module can pop up from the wearable device and then take 360-degree rotation shooting by taking the axis of the gravity of the wearable device as the axis, so that a 360-degree panoramic image taking the axis of the gravity of the wearable device as the axis can be obtained as an ambient image. Through this 360 panorama shooting, can increase the shooting scope of surrounding environment image for surrounding environment information is more comprehensive, and then improves the rate of accuracy of wearable equipment's security level.

203. The wearable device inputs the position information, wading information and surrounding environment information into a pre-established early warning model so as to analyze through the early warning model.

204. The wearable device acquires analysis results of the early warning model aiming at the position information, the wading information and the surrounding environment information.

In the embodiment of the application, the pre-established early warning model can be a neural network model based on deep learning, and the establishment process of the early warning model can be divided into three parts, namely, a plurality of information samples are collected, and each information sample comprises a position information sample, a wading information sample and a surrounding environment information sample of the wearable device at a certain moment; marking each information sample, marking a first risk coefficient of a position information sample, a second risk coefficient of a wading information sample and a third risk coefficient of a surrounding environment information sample included in each information sample, and training a neural network by taking a plurality of marked information samples as input data and taking the first risk coefficient, the second risk coefficient and the third risk coefficient as output so as to obtain an early warning model through training.

205. The wearable device determines the current safety degree value of the wearable device according to the analysis result, and obtains the safety grade corresponding to the safety degree value.

In the embodiment of the application, the analysis results of the early warning model aiming at the position information, the wading information and the surrounding environment information can comprise a first dangerous coefficient aiming at the position information, a second dangerous coefficient aiming at the wading information and a third dangerous coefficient aiming at the surrounding environment information, then the wearable device can determine the current safety level according to the first dangerous coefficient, the second dangerous coefficient and the third dangerous coefficient, and then calculate the corresponding safety level according to the safety level. The first risk coefficient, the second risk coefficient and the third risk coefficient have negative correlation with the safety degree value, and the safety degree value has positive correlation with the corresponding safety level.

206. If the security level is lower than the preset level, the wearable device alarms in a first alarm mode corresponding to the security level.

Optionally, after the wearable device alarms in the first alarm mode corresponding to the safety level, the change trend of the safety value of the wearable device, that is, the change of the safety value in a certain period of time, can be obtained, so that whether the user of the wearable device takes self-rescue measures or not is judged, if the change trend of the safety value is a descending trend, the user is regarded as not taking self-rescue measures, whether the outdoor dangerous water area or the indoor swimming pool where the wearable device is located is identified according to surrounding environment information, and different help seeking measures are taken, so that the early warning effect of the safety early warning method is improved, and the daemon degree of the user of the wearable device is improved.

On the one hand, if the water area where the wearable device is located is identified as the outdoor dangerous water area according to the surrounding environment information, the wearable device can start the Bluetooth function of the wearable device, search whether the electronic device with the Bluetooth function started exists in the Bluetooth signal coverage area of the wearable device, and if the electronic device is searched, modify the Bluetooth user name of the wearable device into the user name carrying preset help-seeking information.

Alternatively, the user name carrying the preset help-seeking information may be "weixianshuiyu-hellp", "nishui-hellp" or "hellp", and the electronic device may be a personal computer (personal computer, PC), tablet computer, smart phone, personal digital assistant (personal digital assistant, PDA), or other wearable device, and the like.

On the other hand, if the water area where the wearable device is located is identified as an indoor swimming pool according to the surrounding environment information, the wearable device can acquire communication identification information of at least one handheld terminal of the lifejacket corresponding to the indoor swimming pool, and preset distress information is sent to each handheld terminal of the lifejacket through the communication identification information. The communication identification information can be information such as a mobile phone number, a pager number, a working machine number and the like, each of the lifeguard handheld terminals corresponds to one communication identification information, and other electronic devices with calling functions can initiate a call request to the corresponding lifeguard handheld terminal by dialing the communication identification information, wherein the electronic devices with calling functions can be similar to the smart phones, tablet computers, intelligent pagers, working pagers, wearable devices and the like with telephone dialing functions.

Optionally, when the wearer of the wearable device wears the wearable device and enters the indoor swimming pool, the wearable device can scan the identification pattern provided by the indoor swimming pool, so that the wearable device can obtain the life-saving person list information according to the identification pattern, the life-saving person list information at least comprises at least one field life-saving person and communication identification information of a life-saving person handheld terminal of each life-saving person, the wearable device can store the life-saving person list information locally, and help is required to be carried out on the life-saving person of the indoor swimming pool when the user of the wearable device does not take self-rescue measures after alarming in the first alarming mode, so that the early warning effect of the safety early warning method is improved, and the degree of conservation of the user of the wearable device is improved.

In some embodiments, the specific way for the wearable device to identify, according to the surrounding environment information, whether the water area in which the wearable device is located is an outdoor dangerous water area or an indoor swimming pool may be by determining whether the surrounding environment information includes the feature information of the dangerous warning sign, and if so, determining that the water area in which the wearable device is identified is an outdoor dangerous water area; and judging whether the surrounding environment information contains the characteristic information of the swimming pool identification plate, and if so, judging that the water area where the wearable equipment is positioned is an indoor swimming pool.

207. The wearable device obtains the distance between the mobile terminal bound with the wearable device and the wearable device.

208. And the wearable equipment determines a second alarm mode from at least one preset alarm mode according to the distance. The at least one alarm mode is an alarm mode preset by a user of the mobile terminal.

In the embodiment of the application, different alarm modes are adopted to alarm the mobile terminal according to the distance between the wearable equipment and the mobile terminal bound with the wearable equipment, so that the alarm effect can be improved. The at least one alarm mode may be preset by the user of the mobile terminal on the mobile terminal, or may be preset by the user of the mobile terminal on the wearable device, which is not limited in the present application. The alarm mode for the mobile terminal comprises, but is not limited to, short message alarm, multimedia message alarm, voice alarm, telephone alarm, video alarm and the like.

Optionally, if the distance between the wearable device and the mobile terminal bound with the wearable device is larger, an alarm mode with stronger warning performance can be matched for alarming, such as telephone alarming, video alarming and the like; if the distance between the wearable equipment and the mobile terminal bound with the wearable equipment is smaller, an alarm mode with weaker warning performance can be matched for alarming, such as short message alarming, multimedia message alarming and the like. The specific matching mode can be set by a developer, and the application is not limited to this.

For example, if the distance between the wearable device and the mobile terminal bound to the wearable device is greater than the first distance, the video alarm with the strongest warning performance can be matched from the alarm modes as the second alarm mode to alarm the mobile terminal.

For example, if the distance between the wearable device and the mobile terminal bound with the wearable device is smaller than or equal to the first distance and larger than the second distance, a telephone alarm with weaker warning performance than the video alarm can be matched from the alarm modes to be used as a second alarm mode for warning the mobile terminal; wherein the second distance is less than the first distance.

According to the distance between the mobile terminal and the wearable equipment, the warning mode, which is matched with the warning performance and the distance between the mobile terminal and the wearable equipment, is determined from at least one warning mode preset by a user of the mobile terminal to warn, so that the safety early warning method of the wearable equipment is more intelligent.

209. And the wearable equipment alarms the mobile terminal in a second alarm mode.

It should be noted that, the second alarm mode may also include at least one alarm mode, and the wearable device may perform an alarm simultaneously in at least one alarm mode included in the second alarm mode when performing an alarm to the mobile terminal in the second alarm mode, so as to perform an alarm together in multiple modes, and increase an alarm effect.

In addition, the position information, wading information and surrounding environment information can be input into a pre-established early warning model, so that analysis is performed through the early warning model, the current safety level of the wearable device is determined according to an analysis result, and the determination efficiency and accuracy of the safety level are improved.

In addition, the method can also determine the alarm mode with the warning performance matched with the distance between the mobile terminal and the wearable device from at least one alarm mode preset by the user of the mobile terminal according to the distance between the mobile terminal and the wearable device, the safety early warning method of the wearable equipment is more intelligent.

Referring to fig. 3, fig. 3 is a schematic structural diagram of a security early warning device based on a wearable device according to an embodiment of the present application. As shown in fig. 3, the wearable device-based safety precaution apparatus may include:

the positioning unit 301 is configured to acquire location information of the wearable device in real time.

The wading detection unit 302 is configured to obtain wading information of the wearable device when the location information is used to indicate that the wearable device is located in an area where the water area is located.

And the obtaining unit 303 is configured to obtain surrounding environment information of the wearable device when the location information is used to indicate that the wearable device is located in an area where the water area is located.

The determining unit 304 is configured to determine a current security value of the wearable device according to the location information, the wading information, and the surrounding environment information, and obtain a security level corresponding to the security value.

And the alarm unit 305 is configured to alarm in a first alarm manner corresponding to the security level when the security level is lower than the preset level.

In some embodiments, the safety precaution device based on the wearable device shown in fig. 3 may further include a recommendation unit, not shown, configured to obtain a travel plan of the user on the same day, where the travel plan includes at least a planned arrival location of the user on the same day and a planned arrival time of each planned arrival location, recommend candidate travel routes for the user according to the travel plan, and start a positioning function of the wearable device within a time range corresponding to each planned arrival time, so as to obtain a current position of the wearable device, and if the current position of the wearable device is not within a region range of the planned arrival location corresponding to the planned arrival time, determine that an actual travel route of the wearable device deviates from the recommended candidate travel route, and trigger the positioning unit 301 to execute an operation of acquiring the position information of the wearable device in real time.

In some embodiments, the wearable device-based security pre-warning apparatus shown in fig. 3 may further include the following units, not shown:

the query unit is configured to send a query request to the service device after the location unit 301 obtains the location information of the wearable device in real time, where the query request at least includes latitude and longitude information included in the location information, and the query request is configured to instruct the service device to query in a preset map library according to the latitude and longitude information, so as to send boundary and water area environment information of each water area to the wearable device after at least one water area is queried; the preset map library can store the boundary and water area environment information of each water area, and then at least one water area in a specified neighborhood can be queried, wherein the specified neighborhood refers to a neighborhood which takes a position indicated by longitude and latitude information as a center and takes a specified distance as a radius;

and a determining unit, configured to determine that the position information of the wearable device is used to indicate that the wearable device is located in an area where the water area is located when it is detected that the distance between the position indicated by the position information of the wearable device and the boundary of any water area is smaller than the specified distance, trigger the wading detecting unit 302 to perform an operation of acquiring wading information of the wearable device, and trigger the acquiring unit 303 to perform an operation of acquiring surrounding environment information of the wearable device.

In some embodiments, the above-mentioned acquisition unit 303 may include the following sub-units, not shown:

and the acquisition subunit is used for acquiring audio data of the surrounding environment of the wearable device when the position information is used for indicating that the wearable device is in the area where the water area is located.

The audio analysis subunit is used for analyzing the audio data to obtain the surrounding people flow of the wearable equipment, and carrying out semantic recognition on the audio data to obtain a semantic recognition result;

and the environment determination subunit is used for taking the surrounding people flow and the semantic recognition result as surrounding environment information.

In some embodiments, the determining unit 304 may include the following sub-units, not shown:

the wearable device can determine the current safety value of the wearable device according to the position information, the wading information and the surrounding environment information.

The inquiring subunit is used for inputting the security value into the security level database, and inquiring the security level corresponding to the security value from the security level database to serve as the current security level of the wearable device. Wherein the security value has a positive correlation with the security level.

Therefore, by implementing the device provided in the above embodiment, through acquiring the position information of the wearable device in real time, when the position information is used for indicating that the wearable device is located in the area where the water area is located, the wading information of the wearable device is acquired, and the surrounding environment information of the wearable device is acquired, the current safety level of the wearable device is determined according to the position information, the wading information and the surrounding environment information, and the alarm is given out in the first alarm mode corresponding to the safety level, so that the classified alarm can be carried out, the wearable device is more intelligent, and the personal safety of a user is further ensured.

Referring to fig. 4, fig. 4 is a schematic structural diagram of another security early warning device based on a wearable device according to an embodiment of the present application. The safety precaution device based on the wearable device shown in fig. 4 is obtained by optimizing the safety precaution device based on the wearable device shown in fig. 3, and compared with fig. 3, the safety precaution device based on the wearable device shown in fig. 4 may further include:

the distance obtaining unit 306 is configured to obtain a distance between the mobile terminal bound to the wearable device and the wearable device after the alarm unit 305 alarms in the first alarm manner corresponding to the security level.

Correspondingly, the alarm unit 305 is further configured to determine a second alarm mode from at least one preset alarm mode according to the distance, and alarm the mobile terminal in the second alarm mode. The at least one alarm mode is an alarm mode preset by a user of the mobile terminal.

In some embodiments, the wearable device-based security pre-warning apparatus shown in fig. 5 may further include:

an identifying unit 307, configured to obtain a security value change trend of the wearable device after the alarm unit 305 alarms in the first alarm manner corresponding to the security level; and if the change trend of the safety value is a descending trend, identifying whether the water area where the wearable equipment is positioned is an outdoor dangerous water area or an indoor swimming pool according to surrounding environment information.

The bluetooth search unit 308 is configured to start a bluetooth function of the wearable device when the identification unit 307 identifies that the water area in which the wearable device is located is an outdoor dangerous water area, and search whether an electronic device for starting the bluetooth function exists in a bluetooth signal coverage area of the wearable device; and if the electronic equipment is searched, modifying the Bluetooth user name of the wearable equipment into the user name carrying the preset distress information.

The help seeking unit 309 is configured to identify, in the identifying unit 307, that a water area where the wearable device is located is an indoor swimming pool, and obtain communication identification information of at least one handheld terminal of a life saving person corresponding to the indoor swimming pool. And sending preset distress information to each handheld terminal of the life saving staff through the communication identification information.

Alternatively, the communication identification information of the at least one lifejacket handheld terminal may be obtained by controlling the wearable device to scan an identification pattern provided by the indoor swimming pool.

In some embodiments, the identifying unit 307 is configured to identify, according to the surrounding environment information, whether the water area in which the wearable device is located is an outdoor dangerous water area or an indoor swimming pool, where the surrounding environment information includes the characteristic information of the dangerous warning sign, and identify that the water area in which the wearable device is located is an outdoor dangerous water area; and the surrounding environment information comprises the characteristic information of the swimming pool identification plate, and the water area where the wearable equipment is positioned is identified to be an indoor swimming pool.

In some embodiments, the acquisition unit 303 described above may include the following subunits:

and the starting unit 3031 is used for starting the camera module of the wearable device to shoot and obtain the surrounding environment image when the position information is used for indicating that the wearable device is in the area of the water area.

The extracting subunit 3032 is configured to identify the surrounding environment image and extract image feature information.

The obtaining subunit 3033 is configured to obtain, according to the image feature information, surrounding environment information of the wearable device.

Optionally, the obtaining subunit 3033 may be specifically configured to determine whether the image feature information includes water inflow feature information, and if so, determine a current water inflow depth of the wearable device according to the water inflow feature information, and use the current water inflow depth of the wearable device as the surrounding environment information of the wearable device.

In some embodiments, the camera module of the wearable device may be disposed on the wearable device as a movable component. Correspondingly, the above-mentioned promoter unit 3031 may be specifically configured to control, when the location information is used to indicate that the wearable device is located in an area where a water area is located, the camera shooting module of the wearable device to start, so that the camera shooting module pops up from the wearable device, and performs 360 ° rotation shooting with an axis where the gravity of the wearable device is located as an axis, so as to obtain a 360 ° panoramic image with the axis where the gravity of the wearable device is located as an ambient image.

In some embodiments, the determination unit 304 may include the following sub-units:

the input subunit 3041 is configured to input the position information, the wading information, and the surrounding environment information into a pre-established early warning model, so as to perform analysis through the early warning model.

And an analysis subunit 3042, configured to obtain an analysis result of the early warning model for the location information, the wading information, and the surrounding environment information.

The determining subunit 3043 is configured to determine a current security value of the wearable device according to the analysis result, and obtain a security level corresponding to the security value.

Alternatively, the analysis result may include a first risk coefficient for the location information, a second risk coefficient for the wading information, and a third risk coefficient for the surrounding environment information. Correspondingly, the determining subunit 3043 may be specifically configured to determine the current security level according to the first risk coefficient, the second risk coefficient, and the third risk coefficient, and calculate the corresponding security level according to the security level. The first risk coefficient, the second risk coefficient and the third risk coefficient have negative correlation with the safety degree value, and the safety degree value has positive correlation with the corresponding safety level.

In some embodiments, the wearable device may further be provided with an air pressure sensing device, where the air pressure sensing device is configured to detect air pressure data of a position where the wearable device is located, so that a height of the position where the wearable device is located currently can be determined according to the air pressure data, and further stereoscopic positioning is achieved. Therefore, the positioning unit 301 may be specifically configured to acquire satellite positioning information of the wearable device and air pressure data of the position of the wearable device in real time; and acquiring the three-dimensional positioning information of the wearable equipment as position information according to the satellite positioning information and the barometric pressure data. The stereotactic information may include latitude and longitude information and altitude information, among others. Alternatively, the barometric pressure data may be the atmospheric pressure in the ambient air where the wearable device is located, and the barometric pressure sensing device may be a barometer for measuring the atmospheric pressure, which may be a mercury barometer or a barometric barometer.

In addition, after the alarm is given in the first alarm mode corresponding to the safety level, the alarm is given in the alarm mode with the warning performance matched with the distance between the mobile terminal and the wearable device according to the distance between the mobile terminal and the wearable device, which is determined from at least one alarm mode preset by a user of the mobile terminal, so that the safety early warning method of the wearable device is more intelligent. And the safety value change trend of the wearable equipment can be obtained, so that whether the user of the wearable equipment takes self-rescue measures or not is judged, if the safety value change trend is a descending trend, the user is regarded as not taking self-rescue measures, whether the water area where the wearable equipment is located is an outdoor dangerous water area or an indoor swimming pool can be identified according to surrounding environment information, and different help seeking measures are taken, so that the early warning effect of the safety early warning method is improved, and the daemon degree of the user of the wearable equipment is improved.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a wearable device according to an embodiment of the present disclosure. As shown in fig. 5, the wearable device may include:

a memory 501 in which executable program codes are stored;

a processor 502 coupled to the memory 501;

the processor 502 invokes executable program codes stored in the memory 501 to execute the wearable device-based security pre-warning method described in the above embodiments.

It should be noted that, the wearable device shown in fig. 5 may further include components not shown, such as a power supply, an input key, a speaker, a microphone, a screen, an RF circuit, a Wi-Fi module, a bluetooth module, a sensor, etc., which are not described in detail in this embodiment. The device can also comprise a speaker module, a camera module, a display screen, a light projection module, a battery module, a wireless communication module (such as a mobile communication module, a WIFI module, a Bluetooth module and the like), a sensor module (such as a proximity sensor, a pressure sensor and the like), an input module (such as a microphone and a key), a user interface module (such as a charging interface, an external power supply interface, a clamping groove, a wired earphone interface and the like) and other undisplayed components.

An embodiment of the application discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute the wearable device-based security early warning method described in the above embodiments.

The present embodiments also disclose a computer program product, wherein the computer program product, when run on a computer, causes the computer to perform some or all of the steps of the method as in the method embodiments 52 above.

The embodiment of the application also discloses an application release platform, wherein the application release platform is used for releasing a computer program product, and the computer program product is used for enabling the computer to execute part or all of the steps of the method in the method embodiments.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments and that the acts and modules referred to are not necessarily required for the present application.

In various embodiments of the present application, it should be understood that the sequence numbers of the foregoing processes do not imply that the execution sequences of the processes should be determined by the functions and internal logic of the processes, and should not be construed as limiting the implementation of the embodiments of the present application.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present application, or a part contributing to the prior art or all or part of the technical solution, may be embodied in the form of a software product stored in a memory, comprising several requests for a computer device (which may be a personal computer, a server or a network device, etc., in particular may be a processor in a computer device) to execute some or all of the steps of the above-mentioned method of the various embodiments of the present application.

In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a, from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may also determine B from a and/or other information.

Those of ordinary skill in the art will appreciate that some or all of the steps of the various methods of the above embodiments may be implemented by hardware associated with a program that may be stored in a computer-readable storage medium, including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), or other optical disk Memory, magnetic disk Memory, tape Memory, or any other medium that can be used to carry or store data that is readable by a computer.

The wearable device-based safety early warning method and device disclosed by the embodiment of the application and the wearable device are described in detail, and specific examples are applied to the explanation of the principle and implementation mode of the application, and the explanation of the above embodiments is only used for helping to understand the method and core idea of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. The safety early warning method based on the wearable equipment is characterized by comprising the following steps of:

acquiring the position information of the wearable equipment in real time;

if the security level is lower than a preset level, alarming in a first alarming mode corresponding to the security level;

The wading information is used for indicating the affinity-closeness relationship between the wearable device and water, and comprises the following steps: the wading information is used for indicating information of a distance between the wearable device and a water area, information of a surface moisture amount of the wearable device and/or information of a water depth of the wearable device;

the determining the current security value of the wearable device according to the location information, the wading information and the surrounding environment information includes: inputting the position information, the wading information and the surrounding environment information into a pre-established early warning model so as to analyze through the early warning model; acquiring analysis results of the early warning model aiming at the position information, the wading information and the surrounding environment information; determining a current safety value of the wearable equipment according to the analysis result;

after the alarm is given in the first alarm mode corresponding to the security level, the method further comprises: acquiring a security value change trend of the wearable equipment; if the change trend of the safety value is a descending trend, identifying whether the water area where the wearable equipment is positioned is an outdoor dangerous water area or an indoor swimming pool according to the surrounding environment information; if the water area where the wearable device is located is an outdoor dangerous water area, starting the Bluetooth function of the wearable device, and searching whether an electronic device for starting the Bluetooth function exists in the Bluetooth signal coverage area of the wearable device; if the electronic equipment is searched, modifying the Bluetooth user name of the wearable equipment into a user name carrying preset help-seeking information; if the water area where the wearable equipment is positioned is an indoor swimming pool, acquiring communication identification information of at least one handheld terminal of a life saving person corresponding to the indoor swimming pool; and sending the preset distress information to each handheld terminal of the life saving staff through the communication identification information.

2. The method of claim 1, wherein after the alerting in the first alert mode corresponding to the security level, the method further comprises:

and alarming the mobile terminal in the second alarming mode.

3. The method of claim 1, wherein the identifying, based on the ambient information, whether the body of water in which the wearable device is located is an outdoor hazardous body of water or an indoor swimming pool comprises:

4. A method according to claim 1 or 3, wherein the acquiring the surrounding information of the wearable device comprises:

5. The method of claim 1, wherein the acquiring location information of the wearable device in real time comprises:

6. Safety precaution device based on wearable equipment, characterized by, include:

an acquisition unit, configured to, when the location information is used to indicate that the wearable device is located in a water area

When the area is formed, acquiring surrounding environment information of the wearable equipment;

the alarm unit is used for alarming in a first alarm mode corresponding to the safety level when the safety level is lower than a preset level;

the determination unit further includes:

the input subunit is used for inputting the position information, the wading information and the surrounding environment information into a pre-established early warning model so as to analyze through the early warning model;

the analysis subunit is used for acquiring analysis results of the early warning model aiming at the position information, the wading information and the surrounding environment information;

a determining subunit, configured to determine a current security value of the wearable device according to the analysis result;

The safety precaution device based on wearable equipment still includes:

the identification unit is used for acquiring the change trend of the security value of the wearable equipment after the alarm unit alarms in a first alarm mode corresponding to the security level; if the change trend of the safety value is a descending trend, identifying whether the water area where the wearable equipment is positioned is an outdoor dangerous water area or an indoor swimming pool according to the surrounding environment information;

the Bluetooth searching unit is used for starting the Bluetooth function of the wearable device when the identification unit identifies that the water area where the wearable device is located is an outdoor dangerous water area, and searching whether the electronic device for starting the Bluetooth function exists in the Bluetooth signal coverage area of the wearable device; if the electronic equipment is searched, modifying the Bluetooth user name of the wearable equipment into a user name carrying preset help-seeking information;

the help seeking unit is used for identifying that a water area where the wearable equipment is positioned is an indoor swimming pool in the identification unit and acquiring communication identification information of at least one handheld terminal of a life saving person corresponding to the indoor swimming pool;

and sending the preset distress information to each handheld terminal of the life saving staff through the communication identification information.

7. A wearable device, comprising:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory for performing a wearable device-based security pre-warning method of any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute a wearable device-based security pre-warning method according to any one of claims 1 to 5.