CN115453908A - Monitoring method and device, intelligent household monitoring terminal and storage medium - Google Patents
Monitoring method and device, intelligent household monitoring terminal and storage medium Download PDFInfo
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B19/02—Programme-control systems electric
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The application relates to a monitoring method, a monitoring device, an intelligent home monitoring terminal and a storage medium, wherein the method comprises the following steps: after the target person is determined to be outside the preset area, tracking and acquiring a position area where the target person is located currently, wherein the position area comprises a plurality of candidate positions corresponding to the position where the target person is located currently; acquiring user preference information corresponding to a target person, determining the current position of the target person from a plurality of candidate positions according to a plurality of preference characteristics corresponding to the user preference information, wherein each preference characteristic is associated with one candidate position; and monitoring the target person according to the current position of the target person and the acquired physiological parameters of the target person. Through the application, the problems that the intelligent home monitoring terminal cannot be accurately positioned and physiological parameter monitoring is not carried out in the related art are solved, the specific position of the target person is rapidly determined, and the beneficial effects that the target person is in health and dangerous due to physiological parameter abnormity are timely alarmed.
Description
Technical Field
The present application relates to the field of monitoring, and in particular, to a monitoring method and apparatus, an intelligent home monitoring terminal, and a storage medium.
Background
With the increase of age, the physique, memory and other functions of a target person are degraded, a series of physiological and psychological degenerative changes can be caused after the person ages 60 years, physical strength and memory are gradually reduced, and the normal aging changes can make the old people feel 'hard'.
In order to ensure that the target person cannot be lost when going out or cannot be known in time when danger is avoided, in the related technology, portable electronic equipment is adopted to bind the target person, so that the electronic equipment is used for monitoring the track of the target person, whether the target person meets danger is detected, and when the danger is detected, the mobile phone of the family is connected to inform the family, so that the target person can be found quickly, and the doctor can be guided to see nearby.
However, in the related art, the electronic device and the monitoring method for monitoring the target person cannot perform accurate positioning after the target person appears in a certain area, and cannot quickly find the target person when the target person is dangerous or lost, which increases family burden, for example: when the target person appears in a certain building and is positioned, the target person can be positioned to appear in the building but cannot be known to be in the second building; meanwhile, the electronic device and the monitoring method for monitoring in the related art do not monitor the health state of the target person, so that when the physiological health of the target person is abnormal, the electronic device and the monitoring method cannot give an alarm and inform in time, and the physical health of the target person is harmed.
Aiming at the problems that the intelligent home monitoring terminal cannot perform accurate positioning and physiological parameter monitoring in the related art, no better technical scheme exists.
Disclosure of Invention
The application provides a monitoring method, a monitoring device, an intelligent home monitoring terminal and a storage medium, which are used for at least solving the problems that the intelligent home monitoring terminal cannot perform accurate positioning and physiological parameter monitoring is not performed.
In a first aspect, the present application provides a monitoring method applied to an intelligent home monitoring terminal, including: after determining that a target person is located outside a preset area, tracking and acquiring a position area where the target person is located currently, wherein the position area comprises a plurality of candidate positions corresponding to the position where the target person is located currently; acquiring user preference information corresponding to the target person, and determining the current position of the target person from a plurality of candidate positions according to a plurality of preference features corresponding to the user preference information, wherein each preference feature is associated with one candidate position; and monitoring the target person according to the current position of the target person and the acquired physiological parameters of the target person.
In a second aspect, the present application provides a monitoring device for an intelligent home monitoring terminal, including:
the tracking module is used for tracking and acquiring a current position area of a target person after the target person is determined to be outside a preset area, wherein the position area comprises a plurality of candidate positions corresponding to the current position of the target person;
the determining module is used for acquiring user preference information corresponding to the target person, and determining the current position of the target person from a plurality of candidate positions according to a plurality of preference characteristics corresponding to the user preference information, wherein each preference characteristic is associated with one candidate position;
and the monitoring module is used for monitoring the target person according to the current position of the target person and the acquired physiological parameters of the target person.
In a third aspect, an intelligent home monitoring terminal is provided, which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
a processor, configured to implement the steps of the monitoring method according to any embodiment of the first aspect when executing the program stored in the memory.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the monitoring method according to any of the embodiments of the first aspect.
Compared with the related art, the embodiment provides a monitoring method, a monitoring device, an intelligent home monitoring terminal and a storage medium, wherein a position area where a target person is located currently is obtained by tracking after the target person is determined to be located outside a predetermined area, wherein the position area comprises a plurality of candidate positions corresponding to the position where the target person is located currently; acquiring user preference information corresponding to the target person, and determining the current position of the target person from a plurality of candidate positions according to a plurality of preference characteristics corresponding to the user preference information, wherein each preference characteristic is associated with one candidate position; according to the current position of the target person and the acquired physiological parameters of the target person, the target person is monitored, the problems that an intelligent home monitoring terminal cannot perform accurate positioning and physiological parameter monitoring in the related technology are solved, the specific position of the target person is rapidly determined, and the target person is timely warned of health problems and dangers caused by abnormal physiological parameters.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a monitoring method according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of a monitoring method according to a preferred embodiment of the present application;
FIG. 3 is a schematic diagram of information of a target person collected in accordance with a preferred embodiment of the present application;
FIG. 4 is a block diagram of a monitoring device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of the smart home monitoring terminal according to the embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Various techniques described herein may be used for detection, setting, and automatic adjustment of system volume for mobile devices, terminals.
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Fig. 1 is a schematic flowchart of a monitoring method according to an embodiment of the present application. As shown in fig. 1, an embodiment of the present application provides a monitoring method, which includes the following steps:
step S101, after the target person is determined to be outside the preset area, tracking and acquiring a position area where the target person is located, wherein the position area comprises a plurality of candidate positions corresponding to the position where the target person is located.
In this embodiment, an intelligent home monitoring terminal is used as an execution main body to implement the steps of the monitoring method of the embodiment of the present application; in this embodiment, the smart home monitoring terminal is further connected to the portable terminal worn by the target person and the terminal for receiving the warning information through a communication network, so as to obtain the position area information of the current position area of the target person and obtain the current physiological parameters of the target person.
In this embodiment, when the smart home monitoring terminal determines that the target person carrying the portable terminal is outside the predetermined area (e.g., at home), the monitoring function is started; when the target person is at home, the monitoring function is closed; therefore, through intelligent judgment, the risk that the target person is lost due to the fact that the target person forgets to start the monitoring function when the associated family is not at home and the target person alone goes out is avoided; meanwhile, resources are saved by automatic starting and closing.
In this embodiment, after the target person is outside the predetermined area, the method for tracking the target person to obtain the position area information corresponding to the current area may be completed by using a conventional positioning technology, for example: positioning based on GPS, positioning based on Beidou and positioning based on wifi; in this embodiment, the area where the target person is currently located obtained by tracking is an approximate location area where the target person is located, for example: when the target person is in the M position of the Nth floor of a certain building, the approximate position obtained by tracking and positioning is the geographical position of the building.
Step S102, user preference information corresponding to the target person is obtained, and the current position of the target person is determined from a plurality of candidate positions according to a plurality of preference features corresponding to the user preference information, wherein each preference feature is associated with one candidate position.
In this embodiment, after determining the approximate location where the target person is currently located, the specific location corresponding to the target person is determined according to the collected user preference information corresponding to the target person, for example: the target person usually likes to browse books of furniture or go to a physical store to watch the furniture, after the current position area (such as a certain market) of the target person is determined, the daily behavior habits of the target person are collected and compared with shops and sold goods in the position area, and a place with the furniture is found, so that the position of the target person can be accurately found.
In this embodiment, the preference feature corresponding to the user preference information may directly represent a place where the target person likes to appear, for example: the target person likes to visit a furniture store, and the favorite feature may also be a feature that the target person likes to watch or buy a certain type of product, and the product is associated with a corresponding candidate location, for example: the target person likes furniture, and stores related to the furniture in the located approximate position area comprise a store B, a store C and a store J, and the store B, the store C and the store J correspond to candidate positions; in this embodiment, when there are multiple favorite features associated with the candidate positions in the position area where the target person is currently located, the candidate position with the highest frequency is selected as the current position of the target person by determining the frequency of the target person appearing in the corresponding candidate position, and at this time, the position is the specific position of the target person and is also the position with accurate positioning.
And step S103, monitoring the target person according to the current position of the target person and the acquired physiological parameters of the target person.
In this embodiment, after the specific position of the target person is determined, the physiological parameter of the target person is monitored in real time, a corresponding physiological parameter alarm level is set, and after the alarm parameter level is preset at the high position of the physiological parameter of the target person, corresponding alarm information is generated to notify surrounding people to call the ambulance in time, and the alarm information is sent to a terminal for receiving the alarm information, and then the family of the target person is informed that the specific position and the corresponding physiological health state of the target person at which the target person is currently located need to be treated in time.
Through the steps from S101 to S103, tracking and acquiring a position area where the target person is located after the target person is determined to be located outside a predetermined area, wherein the position area comprises a plurality of candidate positions corresponding to the position where the target person is located; acquiring user preference information corresponding to a target person, and determining the current position of the target person from a plurality of candidate positions according to a plurality of preference characteristics corresponding to the user preference information, wherein each preference characteristic is associated with one candidate position; according to the current position of the target person and the obtained physiological parameters of the target person, the target person is monitored, the problems that an intelligent home monitoring terminal cannot perform accurate positioning and physiological parameter monitoring in the related technology are solved, the specific position of the target person is rapidly determined, and the target person is timely alarmed to have the beneficial effects of health problems and dangers caused by abnormal physiological parameters.
It should be noted that, in the embodiment of the present application, an approximate location of the target person is determined by basic positioning, then, user preference information corresponding to the collected user behavior information is correspondingly matched with a candidate location (for example, store information in a shopping mall) in a positioned location area, so as to find a specific location of the target person, and finally, whether the target person is in a healthy state or a normal activity state is determined by a level of a physiological parameter (for example, emotional fluctuation, heart rate, electrocardiogram, body temperature, blood oxygen, and pulse).
In some embodiments, the monitoring of the target person in step S103 according to the current location of the target person and the obtained physiological parameter of the target person is implemented by the following steps:
and step 21, detecting a parameter value corresponding to the physiological parameter.
In this embodiment, the physiological parameter includes at least one of: heart rate, electrocardiogram, body temperature, blood oxygen, pulse; meanwhile, in the embodiment, the corresponding judgment result is determined by determining the parameter value of the corresponding physiological parameter and then judging whether the physiological parameter exceeds the preset parameter threshold value through the corresponding parameter value; in this embodiment, the physiological parameters further include relevant parameters for characterizing the higher than normal activity at sudden risk, such as: sudden sound fluctuation (screaming, calling for help) caused by threat and sudden fall.
And step 22, judging whether the parameter value is larger than a preset parameter threshold value or not to obtain a judgment result.
And step 23, generating alarm information according to the judgment result and the position information corresponding to the current position of the target person, so as to monitor the target person based on the alarm information.
In this embodiment, when the determination result is that the corresponding parameter value is higher than the preset parameter threshold, an alarm is performed, and at this time, the corresponding alarm information is generated by using the corresponding abnormal physiological parameter and the position information together, so as to alarm people or family around the target person, for example: setting the normal heartbeat to be 55-100 times/minute, and starting an alarm when the heartbeat of the target person reaches more than 100 times/minute.
Detecting a parameter value corresponding to the physiological parameter through the steps; judging whether the parameter value is larger than a preset parameter threshold value or not to obtain a judgment result; and generating alarm information according to the judgment result and the position information corresponding to the current position of the target person, monitoring the target person based on the alarm information, monitoring the physiological health state of the target person, and informing the specific position and the physiological abnormal state of the target person to corresponding surrounding persons or family persons through the alarm information so as to timely rescue the target person or timely treat medical treatment.
In some embodiments, the determining step determines whether the parameter value is greater than a preset parameter threshold value to obtain a determination result, and is implemented by the following steps:
and step 31, determining the parameter level of the parameter value, and judging whether the parameter level of the parameter value is higher than a preset alarm parameter level, wherein each parameter level corresponds to a preset parameter value interval.
And step 32, determining that the judgment result is that the physiological state of the target person is abnormal under the condition that the parameter value is judged to be higher than the preset alarm parameter level.
And step 33, determining that the behavior activity of the target person is normal according to the judgment result under the condition that the parameter value is not higher than the preset alarm parameter level.
Determining the parameter grade of the parameter value in the step, and judging whether the parameter grade of the parameter value is higher than a preset alarm parameter grade, wherein each parameter grade corresponds to a preset parameter value interval; under the condition that the parameter value is judged to be higher than the preset alarm parameter level, determining that the judgment result is that the physiological state of the target person is abnormal; and under the condition that the parameter value is judged to be not higher than the preset alarm parameter level, determining that the behavior and the activity of the target person are normal according to the judgment result, further realizing the monitoring of the physiological health state of the target person, and thus timely alarming the target person of the physical health problems and dangers caused by abnormal physiological parameters.
In some embodiments, after determining that the target person is outside the predetermined area, the following steps are further performed:
and step 41, recording the time length of the target person outside the preset area, and judging whether the time length is greater than a preset threshold value.
And 42, generating corresponding alarm information under the condition that the time length is judged to be greater than the preset threshold value, so as to monitor the target person based on the alarm information.
In the embodiment, by setting the threshold of the outgoing time of the target person, when the threshold of the outgoing time is judged to exceed the threshold, it is indicated that the target person may be dangerous or lost, at this time, the alarm is started to notify the family members to search or rescue, and the tracking and positioning are started and the specific position is determined based on the user preference information, so that the specific position of the target person is quickly determined, and the physical health problem and danger of the target person due to abnormal physiological parameters are timely warned.
Recording the time length of the target person outside the preset area in the steps, and judging whether the time length is greater than a preset threshold value or not; and generating corresponding alarm information under the condition that the time length is judged to be larger than the preset threshold value, so as to monitor the target person based on the alarm information, realize monitoring detection of the target person with overlong outgoing time, and avoid the body health problem and the loss risk of the target person caused by abnormal physiological parameters.
In some embodiments, the user preference information corresponding to the target person is obtained by the following steps:
And step 52, detecting the behavior activities of the target person in the historical behavior information, and determining the preference degrees corresponding to the behavior activities, wherein the preference degrees are determined according to the frequency of the behavior activities.
In this embodiment, the historical behavior information is analyzed to determine the user preference information of the target person, for example: the custom of watching the furniture and the custom of going to a store A in a certain market to watch the furniture; at the same time, the likeness is determined by determining the frequency of the corresponding behavioral activity, for example: when the user looks at the furniture for 4 days a week, the user shows that the target person has high furniture preference.
And 53, determining a plurality of favorite features corresponding to the target person based on the favorite degree of each group of behavior activities, wherein the user favorite information comprises the favorite features.
Obtaining historical behavior information corresponding to the target person in the steps, wherein the historical behavior information is used for representing one of the following behaviors of the target person: lifestyle, personal habits, hobbies; detecting the behavior activity of a target person in historical behavior information, and determining the corresponding preference degree of the behavior activity, wherein the preference degree is determined according to the occurrence frequency of the behavior activity; and determining a plurality of favorite features corresponding to the target person based on the favorite degree of each group of behavior activities, wherein the user favorite information comprises the favorite features, so that the user favorite information and the favorite features are obtained from the historical behavior information of the user, and the specific position of the target person is determined.
In some embodiments, the current position of the target person is determined from a plurality of candidate positions according to a plurality of favorite features corresponding to user favorite information, and the method is implemented by the following steps:
step 61, determining the user behavior category associated with each preference feature.
In this embodiment, the user behavior category may represent a place where the user behavior occurs, a related commodity or product, a classification, a field, and an industry of the commodity or product; by determining the user behavior category, the location where the target person may appear in the location area is matched, for example: when the user behavior category is that the target person likes to watch the daily chemical products, after the approximate area where the target person is located, the specific position of the target person is determined by determining the place and store associated with the daily chemical products.
And 62, selecting candidate positions corresponding to the user behavior categories from the plurality of candidate positions to obtain the candidate positions.
And 63, selecting a target position from the alternative positions based on the preference degree corresponding to the preference characteristics, and determining the target position as the current position of the target person.
In this embodiment, when there are multiple favorite features associated with candidate positions in the position area where the target person is currently located, by determining the frequency of the target person appearing in the corresponding candidate position, a position with the highest frequency is selected as the target position, for example: when R stores, S stores and X stores sell daily chemical products in a certain market, and the frequency of the target person going to the R stores is higher, the R stores are the target positions.
In some optional embodiments, the target position is selected from the candidate positions based on the preference degree corresponding to the preference feature, and the method is implemented by the following steps: and selecting the alternative position corresponding to the preference feature with the highest preference degree from the alternative positions to obtain the target position.
Determining the user behavior category associated with each preference feature through the steps; selecting candidate positions corresponding to the user behavior categories from the plurality of candidate positions to obtain alternative positions; and selecting a target position from the alternative positions based on the preference degree corresponding to the preference characteristics, and determining the target position as the current position of the target person, so that the specific position of the target person in the positioned position area is quickly determined based on the preference information and the preference characteristics of the target person, and therefore the target person can be rescued and found in time when the target person is dangerous or lost.
Fig. 2 is a schematic flow chart of a monitoring method according to a preferred embodiment of the present application, fig. 3 is a schematic diagram of information of a target person collected according to the preferred embodiment of the present application, and referring to fig. 2 to 3, the method includes the following steps:
step S201, collecting information including personal basic information, personal habits, hobbies, living habits, positioning and sounds of mood fluctuation levels (heartbeat and speaking sound); after that, step S202 is executed.
In the present embodiment, the collected information of the target person may be as shown in fig. 3.
Step S202, the daemon system is started, and then step S203 is executed.
In step S203, the target person is lost or does not return within a predetermined time when the target person goes out, and then step S204 is executed.
In step S204, the track of the target person is located to determine the approximate position of the target person, and then step S205 is executed.
Step S205, determining the specific position of the target person according to the personal habits, hobbies and living habits of the target person, and then executing step S206.
And step S206, dividing the collected mood fluctuation into three levels according to the usual collected mood fluctuation, marking and distinguishing the three levels, and judging whether the target person is in a dangerous state or in other health states through marking.
The following further describes the flow of the monitoring method according to the preferred embodiment of the present application based on fig. 2 and 3 as follows:
first, some basic information (see fig. 3) of a target person (for example, the target person) is collected according to a requirement, including information of sex, age, living habits and hobbies, a located location area, mood fluctuations (heartbeat and speaking voice), and the like, wherein the speaking voice can be classified into crying and laughing, and the three voices of the ordinary voice, crying and laughing are respectively marked as 1,2,3. Then, the following steps are performed:
step 1, intelligent house monitor terminal carries out remote connection with the induction system that the target personage carried, detects the region that the target personage appears, when the target personage is out alone when the family is absent, can open the guard system automatically, can avoid when the family is absent, the target personage alone goes out to forget to open the guard system, also saves the resource.
And 2, when the target person is detected to go out, positioning the track of the target person, judging the approximate position of the target person, and when the target person is dangerous or lost, tracking the track of the target person through positioning.
In this embodiment, since the related art may have a situation that the positioning is not accurate, as in a shopping mall, the specific floor cannot be determined by positioning at the same position of the 1 st or 2 nd building.
Step 3, judging the specific position of the target person according to the personal habits, the hobbies and the living habits of the target person: and analyzing the target person according to the collected combination of the daily living habits, personal habits and hobbies of the target person to determine the specific positioning of the target person.
Specifically, the target person likes to see some homes at ordinary times, the market where the target person is located is found through positioning, after the approximate position is determined, the daily behavior habits of the target person are collected and compared with store commodities in the market, the place where the home is located is found, and therefore the position of the target person can be accurately found.
Step 4, dividing collected mood fluctuation at ordinary times into three levels, wherein the mood fluctuation is related to heartbeat and sound fluctuation states, the heartbeat of a normal person is between 55 and 100, and when the heartbeat of a target person reaches more than 100, the daemon system has a level, sends an alarm to the mobile phone of the family and informs the family; the sound fluctuation state comprises ordinary sound, the sound is large and small, the sound corresponds to three levels respectively, and when the sound is in the high level, an alarm is sent to a mobile phone of the family to tell the family.
In this embodiment, a monitoring device is further provided, and the device is used for implementing the above embodiments and preferred embodiments, which have already been described and are not described again. The terms "module," "unit," "subunit," and the like as used below may implement a combination of software and/or hardware for a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 4 is a block diagram of a monitoring device according to an embodiment of the present disclosure, and as shown in fig. 4, an embodiment of the present disclosure provides a monitoring device applied to an intelligent home monitoring terminal, where the monitoring device includes:
the tracking module 41 is configured to track and acquire a position area where the target person is located currently after determining that the target person is located outside a predetermined area, where the position area includes a plurality of candidate positions corresponding to the position where the target person is located currently;
a determining module 42, coupled to the tracking module 41, configured to obtain user preference information corresponding to the target person, and determine, according to multiple preference features corresponding to the user preference information, a current location of the target person from multiple candidate locations, where each preference feature is associated with one candidate location;
and the monitoring module 43 is coupled to the determining module 42, and configured to monitor the target person according to the current location of the target person and the obtained physiological parameter of the target person.
By the monitoring device, after the target person is determined to be outside the preset area, the current position area of the target person is obtained in a tracking mode, wherein the position area comprises a plurality of candidate positions corresponding to the current position of the target person; acquiring user preference information corresponding to a target person, and determining the current position of the target person from a plurality of candidate positions according to a plurality of preference characteristics corresponding to the user preference information, wherein each preference characteristic is associated with one candidate position; according to the current position of the target person and the obtained physiological parameters of the target person, the target person is monitored, the problems that an intelligent home monitoring terminal cannot perform accurate positioning and physiological parameter monitoring in the related technology are solved, the specific position of the target person is rapidly determined, and the target person is timely alarmed to have the beneficial effects of health problems and dangers caused by abnormal physiological parameters.
In some of these embodiments, the monitoring module 43 further comprises:
the first detection unit is used for detecting a parameter value corresponding to the physiological parameter;
the first judgment unit is coupled with the first detection unit and used for judging whether the parameter value is greater than a preset parameter threshold value or not to obtain a judgment result;
and the first generating unit is coupled with the first judging unit and used for generating alarm information according to the judging result and the position information corresponding to the current position of the target person so as to monitor the target person based on the alarm information.
In some embodiments, the first determining unit is further configured to determine a parameter level of the parameter value, and determine whether the parameter level of the parameter value is higher than a preset alarm parameter level, where each parameter level corresponds to a preset parameter value interval; determining that the judgment result is that the physiological state of the target person is abnormal under the condition that the parameter value is judged to be higher than the preset alarm parameter level; and under the condition that the parameter value is judged to be not higher than the preset alarm parameter level, determining that the behavior activity of the target person is normal according to the judgment result.
In some embodiments, after determining that the target person is outside the predetermined area, the monitoring device is further configured to record a time duration that the target person is outside the predetermined area, and determine whether the time duration is greater than a preset threshold; and generating corresponding alarm information under the condition that the time length is judged to be larger than the preset threshold value so as to monitor the target person based on the alarm information.
In some embodiments, the determining module 42 is further configured to obtain historical behavior information corresponding to the target person, where the historical behavior information is used to characterize a behavior of the target person, and the behavior is one of: lifestyle, personal habits, hobbies; detecting the behavior activity of a target person in historical behavior information, and determining the preference degree corresponding to the behavior activity, wherein the preference degree is determined according to the occurrence frequency of the behavior activity; and determining a plurality of favorite features corresponding to the target person based on the favorite degree of each group of behavior activities, wherein the user favorite information comprises the favorite features.
In some embodiments, the determining module 42 is further configured to determine a category of user behavior associated with each preference feature; selecting candidate positions corresponding to the user behavior categories from the plurality of candidate positions to obtain alternative positions; and selecting a target position from the alternative positions based on the preference degree corresponding to the preference characteristics, and determining the target position as the current position of the target person.
In some embodiments, the determining module 42 is further configured to select, from the candidate positions, a candidate position corresponding to the favorite feature with the highest popularity to obtain the target position.
Fig. 5 is a schematic structural diagram of an intelligent home monitoring terminal according to an embodiment of the present application, and as shown in fig. 5, an embodiment of the present application provides an intelligent home monitoring terminal, which includes a processor 51, a communication interface 52, a memory 53 and a communication bus 54, where the processor 51, the communication interface 52 and the memory 53 complete mutual communication through the communication bus 54,
a memory 53 for storing a computer program;
the processor 51, when executing the program stored in the memory 53, implements the method steps of fig. 1.
The processing in the smart home monitoring terminal implements the method steps in fig. 1, and the technical effect brought by the processing in the smart home monitoring terminal is consistent with the technical effect of the monitoring method in fig. 1 executed in the foregoing embodiment, and is not described herein again.
The communication bus mentioned in the foregoing smart home monitoring terminal may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The communication interface is used for communication between the intelligent home monitoring terminal and other equipment.
The Memory may include a Random Access Memory (RAM), and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
The processor may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the integrated circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the monitoring method provided in any one of the foregoing method embodiments.
In a further embodiment provided by the present application, there is also provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of the monitoring method as described in any of the above embodiments.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a non-exclusive inclusion also includes other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A monitoring method is applied to an intelligent household monitoring terminal and is characterized by comprising the following steps:
after determining that a target person is located outside a preset area, tracking and acquiring a position area where the target person is located currently, wherein the position area comprises a plurality of candidate positions corresponding to the position where the target person is located currently;
acquiring user preference information corresponding to the target person, and determining the current position of the target person from a plurality of candidate positions according to a plurality of preference characteristics corresponding to the user preference information, wherein each preference characteristic is associated with one candidate position;
and monitoring the target person according to the current position of the target person and the acquired physiological parameters of the target person.
2. The method of claim 1, wherein monitoring the target person according to the current location of the target person and the obtained physiological parameters of the target person comprises:
detecting a parameter value corresponding to the physiological parameter;
judging whether the parameter value is larger than a preset parameter threshold value or not to obtain a judgment result;
and generating alarm information according to the judgment result and the position information corresponding to the current position of the target person, so as to monitor the target person based on the alarm information.
3. The method of claim 2, wherein determining whether the parameter value is greater than a predetermined parameter threshold to obtain a determination result comprises:
determining the parameter grade of the parameter value, and judging whether the parameter grade of the parameter value is higher than a preset alarm parameter grade, wherein each parameter grade corresponds to a preset parameter value interval;
determining that the judgment result is that the physiological state of the target person is abnormal under the condition that the parameter value is judged to be higher than the preset alarm parameter level;
and under the condition that the parameter value is judged to be not higher than the preset alarm parameter level, determining that the behavior activity of the target person is normal according to the judgment result.
4. The method of claim 1, wherein after determining that the target person is outside the predetermined area, the method further comprises:
recording the time length of the target person outside the preset area, and judging whether the time length is greater than a preset threshold value or not;
and generating corresponding alarm information under the condition that the time length is larger than a preset threshold value, so as to monitor the target person based on the alarm information.
5. The method of claim 1, wherein obtaining the user preference information corresponding to the target person comprises:
obtaining historical behavior information corresponding to the target person, wherein the historical behavior information is used for representing one of the following behaviors of the target person: lifestyle, personal habits, hobbies;
detecting the behavior activity of the target person in the historical behavior information, and determining the preference degree corresponding to the behavior activity, wherein the preference degree is determined according to the frequency of the behavior activity;
determining a plurality of favorite features corresponding to the target person based on the likeness of each group of the behavioral activities, wherein the user preference information comprises the favorite features.
6. The method of claim 5, wherein determining the current position of the target person from the candidate positions according to a plurality of favorite features corresponding to the user favorite information comprises:
determining a user behavior category associated with each preference feature;
selecting the candidate position corresponding to the user behavior category from the candidate positions to obtain alternative positions;
and selecting a target position from the alternative positions based on the preference degree corresponding to the preference characteristics, and determining the target position as the current position of the target character.
7. The method of claim 6, wherein selecting a target location from the candidate locations based on the likeness corresponding to the likeness feature comprises: and selecting the alternative position corresponding to the preference feature with the highest preference degree from the alternative positions to obtain the target position.
8. The utility model provides a guardianship device, is applied to intelligent house monitor terminal, its characterized in that includes:
the tracking module is used for tracking and acquiring a current position area of a target person after the target person is determined to be outside a preset area, wherein the position area comprises a plurality of candidate positions corresponding to the current position of the target person;
the determining module is used for acquiring user preference information corresponding to the target person, and determining the current position of the target person from a plurality of candidate positions according to a plurality of preference characteristics corresponding to the user preference information, wherein each preference characteristic is associated with one candidate position;
and the monitoring module is used for monitoring the target person according to the current position of the target person and the acquired physiological parameters of the target person.
9. The intelligent home monitoring terminal is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for completing mutual communication through the communication bus by the memory;
a memory for storing a computer program;
a processor for implementing the steps of the monitoring method according to any one of claims 1 to 7 when executing the program stored in the memory.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the monitoring method according to any one of claims 1 to 7.
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| CN202211249055.7A CN115453908A (en) | 2022-10-12 | 2022-10-12 | Monitoring method and device, intelligent household monitoring terminal and storage medium |
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| CN202211249055.7A CN115453908A (en) | 2022-10-12 | 2022-10-12 | Monitoring method and device, intelligent household monitoring terminal and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117271994A (en) * | 2023-09-22 | 2023-12-22 | 吉贝克信息技术（北京）有限公司 | Door detection method and system for care monitoring of old people |
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- 2022-10-12 CN CN202211249055.7A patent/CN115453908A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117271994A (en) * | 2023-09-22 | 2023-12-22 | 吉贝克信息技术（北京）有限公司 | Door detection method and system for care monitoring of old people |
| CN117271994B (en) * | 2023-09-22 | 2024-02-09 | 吉贝克信息技术（北京）有限公司 | Door detection method and system for care monitoring of old people |
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