CN110689702B - Safety early warning method and device based on intelligent wearable device and intelligent wearable device - Google Patents
Safety early warning method and device based on intelligent wearable device and intelligent wearable device Download PDFInfo
- Publication number
- CN110689702B CN110689702B CN201910941899.XA CN201910941899A CN110689702B CN 110689702 B CN110689702 B CN 110689702B CN 201910941899 A CN201910941899 A CN 201910941899A CN 110689702 B CN110689702 B CN 110689702B
- Authority
- CN
- China
- Prior art keywords
- wearable device
- intelligent wearable
- altitude
- value
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 230000008859 change Effects 0.000 claims description 65
- 238000004590 computer program Methods 0.000 claims description 15
- 238000004422 calculation algorithm Methods 0.000 claims description 11
- 230000007613 environmental effect Effects 0.000 claims description 7
- 230000006870 function Effects 0.000 description 17
- 230000008569 process Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 230000003993 interaction Effects 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
- 239000011521 glass Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000005433 ionosphere Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0211—Combination with medical sensor, e.g. for measuring heart rate, temperature
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0241—Data exchange details, e.g. data protocol
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
Landscapes
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Child & Adolescent Psychology (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Cardiology (AREA)
- Heart & Thoracic Surgery (AREA)
- Telephone Function (AREA)
Abstract
The application is suitable for the technical field of safety early warning, and provides a safety early warning method and device based on intelligent wearable equipment and the intelligent wearable equipment, and the method comprises the following steps: acquiring the fluctuation trend of the GPS signal within a period of time; determining the current scene where the user is located according to the fluctuation trend; acquiring scene environment data corresponding to the current scene; and when the scene environment data reaches a preset early warning condition, sending early warning information to the mobile terminal associated with the intelligent wearable device. The safety monitoring system and the safety monitoring method can enable safety monitoring of children to be more careful and comprehensive, thereby improving effectiveness of safety monitoring and effectively monitoring safety of the children.
Description
Technical Field
The application belongs to the technical field of safety early warning, and particularly relates to a safety early warning method and device based on intelligent wearable equipment, a storage medium and the intelligent wearable equipment.
Background
Along with the development in the wearable equipment market of intelligence, the function of wearable equipment of intelligence is also powerful day by day, like communication function, mobile internet function, health monitoring function and GPS locate function etc. current work group is because work is busy, neglects the care of children at home easily, also becomes more and more important to children's safety precaution based on intelligent wearing equipment.
Although the wearable equipment of present intelligence can fix a position children, prevent that children from wandering away, current safety precaution through wearable equipment of intelligence only is to the guardianship early warning of children in partial two-dimensional plane region, and guardianship early warning scope is limited, and safety precaution is not comprehensive enough, and very big hidden danger still exists in children's guardianship safety.
Disclosure of Invention
The embodiment of the application provides a safety early warning method, a device, a storage medium and intelligent wearable equipment based on intelligent wearable equipment, and the problems that the existing safety early warning through intelligent wearable equipment only aims at the monitoring early warning of children in a partial two-dimensional plane area, the monitoring early warning range is limited, the safety early warning is not comprehensive enough, and the monitoring safety of children still has great hidden dangers can be solved.
In a first aspect, an embodiment of the present application provides a safety precaution method based on an intelligent wearable device, including:
acquiring the fluctuation trend of the GPS signal within a period of time;
determining the current scene where the user is located according to the fluctuation trend;
acquiring scene environment data corresponding to the current scene;
and when the scene environment data reaches a preset early warning condition, sending early warning information to the mobile terminal associated with the intelligent wearable device.
In a possible implementation manner of the first aspect, the determining, according to the fluctuation trend, a current scene where the user is located includes:
when the GPS signal changes from weak to strong, the current scene where the user is located is outdoor;
when the GPS signal is weakened by strong strength, the current scene where the user is located is indoors.
In a possible implementation manner of the first aspect, the scene environment data includes an altitude change value, and the step of sending the warning information to the mobile terminal associated with the intelligent wearable device when the scene environment data reaches a preset warning condition includes:
if the current scene is outdoor, acquiring an altitude change value of the intelligent wearable device;
and when the altitude change value of the intelligent wearable device exceeds a preset altitude change threshold value, sending early warning information to a mobile terminal associated with the intelligent wearable device.
Further, when the altitude change value of the intelligent wearable device exceeds a preset altitude change threshold, the step of sending the warning information to the mobile terminal associated with the intelligent wearable device specifically includes:
when the altitude change value of the intelligent wearable device exceeds a preset altitude change value, acquiring the duration of the current GPS signal of the intelligent wearable device and the duration of the altitude change value;
and if the duration of the current GPS signal and the duration of the altitude change value both exceed a preset duration value, sending early warning information to a mobile terminal associated with the intelligent wearable device.
Further, the step of obtaining the altitude change value of the intelligent wearable device includes:
acquiring a current air pressure value;
calculating a first altitude under the current barometric pressure value according to the current barometric pressure value and a preset altitude calculation algorithm;
calculating a second altitude under the reference atmospheric pressure value according to a reference atmospheric pressure value and a preset altitude calculation algorithm;
and determining an altitude change value of the intelligent wearable device according to the difference value of the first altitude and the second altitude.
Further, the safety early warning method based on the intelligent wearable device further comprises the following steps:
and if the GPS signal is weakened from strong, acquiring an air pressure value, and determining the air pressure value as a reference air pressure value.
In a possible implementation manner of the first aspect, the scene environment data includes an ambient temperature and an ambient humidity, and when the scene environment data reaches a preset early warning condition, the step of sending early warning information to the mobile terminal associated with the intelligent wearable device includes:
if the current scene is indoor, acquiring an environmental temperature value and an environmental humidity value;
and when the environment temperature value reaches a preset temperature condition and the environment humidity value meets a preset humidity condition corresponding to the preset temperature condition, sending early warning information to the mobile terminal associated with the intelligent wearable device.
In a second aspect, an embodiment of the present application provides a safety precaution device based on intelligent wearable device, includes:
the signal monitoring unit is used for acquiring the fluctuation trend of the GPS signal within a period of time;
the scene determining unit is used for determining the current scene where the user is located according to the fluctuation trend;
an environment data acquiring unit, configured to acquire scene environment data corresponding to the current scene;
and the safety early warning unit is used for sending early warning information to the mobile terminal associated with the intelligent wearable device when the scene environment data reaches a preset early warning condition.
In a third aspect, an embodiment of the present application provides an intelligent wearable device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor, when executing the computer program, implements the intelligent wearable device-based security early warning method according to the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, where a computer program is stored, and when executed by a processor, the computer program implements the smart wearable device-based security precaution method according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a computer program product, which when running on an intelligent wearable device, causes the intelligent wearable device to execute the intelligent wearable device-based security early warning method according to the first aspect.
It is understood that the beneficial effects of the second aspect to the fifth aspect can be referred to the related description of the first aspect, and are not described herein again.
In the embodiment of the application, the fluctuation trend of a GPS signal within a period of time is acquired, then the current scene where a user is located is determined according to the fluctuation trend, the position scene change of a child is monitored, the scene environment data corresponding to the current scene are acquired, the different scene environment data corresponding to the different scenes of the child are monitored, and when the scene environment data reach the preset early warning condition, the early warning information is sent to the mobile terminal associated with the intelligent wearable device, so that the safety monitoring of the child is more detailed and comprehensive, the effectiveness of the safety monitoring is improved, and the safety of the child is effectively monitored.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions 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 it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of an implementation of a security early warning method based on an intelligent wearable device according to an embodiment of the present application;
fig. 2 is a flowchart of a specific implementation of the safety precaution method S104 based on the intelligent wearable device according to the embodiment of the present application;
fig. 3 is a flowchart of a specific implementation of obtaining an altitude change value according to an embodiment of the present disclosure;
fig. 4 is a flowchart of another specific implementation of the intelligent wearable device-based security warning S104 according to the embodiment of the present application;
fig. 5 is a structural block diagram of a safety precaution device based on an intelligent wearable device provided in an embodiment of the present application;
fig. 6 is a schematic diagram of an intelligent wearable device provided in an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
The safety early warning method based on the intelligent wearable device can be applied to terminal devices such as mobile phones, tablet computers and wearable devices, and the specific types of the terminal devices are not limited at all.
By way of example and not limitation, when the terminal device is a wearable device, the wearable device may also be a generic term for intelligently designing daily wearing by applying wearable technology, developing wearable devices, such as glasses, gloves, watches, clothing, shoes, and the like. A wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also realizes powerful functions through software support, data interaction and cloud interaction. The intelligent wearing equipment of generalized wear type is including the function complete, the size is big, can not rely on the smart mobile phone to realize complete or partial function, like intelligent wrist-watch or intelligent glasses etc to and only be absorbed in a certain kind of application function, need use with other equipment like the cooperation of smart mobile phone, like all kinds of intelligent bracelet, intelligent ornament etc. that carry out the sign monitoring.
Fig. 1 shows an implementation process of a safety precaution method based on an intelligent wearable device provided in an embodiment of the present application, where the method process includes steps S101 to S104. The specific realization principle of each step is as follows:
s101: and acquiring the fluctuation trend of the GPS signals in a period of time.
In the embodiment of the application, the GPS signal of the intelligent wearable device worn by the user is monitored, and the fluctuation trend of the GPS signal in a period of time is obtained. The GPS is generally called Global Positioning System (Global Positioning System).
Specifically, there are two main factors affecting GPS accuracy: ionospheric delay and building reflection interference. Therefore, for improving the accuracy of the GPS of the intelligent wearable device, in the embodiment of the application, the low-power consumption dual-frequency GPS is added into the intelligent wearable device, and the dual-frequency GPS is used for collecting the GPS signal of the intelligent wearable device. The dual-frequency GPS means that the dual-frequency receiver can simultaneously accept frequency bands such as L1, L2 or L5. Compared with a single-frequency GPS, the dual-frequency GPS has the advantages that firstly, errors of an ionosphere are inherent to all GPS observation data, but the errors can be effectively eliminated by establishing a model by combining satellite observation information of two frequencies; secondly, the ambiguity resolution can be accelerated by observing at two frequencies, and the time for static measurement can be greatly reduced. Generally speaking, the dual-frequency GPS can provide faster, more accurate and more reliable solution than the single-frequency GPS, and meanwhile, the dual-frequency GPS with low power consumption reduces the power consumption of the intelligent wearable device.
S102: and determining the current scene where the user is located according to the fluctuation trend.
In the embodiment of the application, the dual-frequency GPS is started in real time to collect the GPS signal, and the fluctuation trend of the GPS signal in a period of continuous collection is analyzed. For example, whether the GPS signal received by the smart wearable device gradually weakens to no signal or weak signal, or gradually changes from no signal or weak signal to strong signal. And determining the current scene of the user according to the analysis result. The fluctuating tendency of the GPS signal includes the GPS signal becoming stronger from weak, and the GPS signal becoming weaker from strong.
Optionally, in this embodiment of the present application, the current scene includes an indoor scene and an outdoor scene. When the GPS signal changes from weak to strong, determining that the current scene where the user is located is outdoor; when the GPS signal is weakened from strong, the current scene where the user is located is determined to be indoor. Specifically, because the space is relatively closed, the GPS signal reception is unstable, and the indoor GPS signal is weaker than the outdoor GPS signal, when the GPS signal is changed from weak to strong and the duration of the stronger GPS signal reaches the specified signal duration, it is determined that the user enters outdoors from indoors and the current scene where the user is located is outdoors, and when the GPS signal is changed from strong to weak and the duration of the stronger GPS signal reaches the specified signal duration, it is determined that the user enters indoors from outdoors and the current scene where the user is located is indoors. The indoor and outdoor scene recognition is realized through the fluctuation trend of the GPS signal, so that the scene change of the user is monitored. For example, if the GPS signal is weakened by a strong signal, the user may enter the room from outdoors or enter the room from a rooftop down the stairs.
S103: and acquiring scene environment data corresponding to the current scene.
Specifically, the scene environment data includes an altitude change value, an environment temperature value, and an environment humidity value. In the embodiment of the application, the corresponding relation between the scene and the scene environment data is constructed. Under different scenes, the corresponding scene environment data to be acquired are not necessarily the same. For example, when the current scene is outdoor, an altitude change value is obtained, and when the current scene is indoor, an ambient temperature value and an ambient humidity value are obtained.
S104: and when the scene environment data reaches a preset early warning condition, sending early warning information to the mobile terminal associated with the intelligent wearable device.
Specifically, the preset early warning condition is a trigger condition for sending an early warning message to a mobile terminal associated with the intelligent wearable device. And when the scene environment data reaches a preset early warning condition, triggering an early warning mechanism of the intelligent wearable device, namely sending early warning information to the mobile terminal associated with the intelligent wearable device.
Optionally, as an embodiment of the present application, the scene environment data includes an altitude change value, and fig. 2 shows a specific implementation flow of step S104 of the security early warning method based on the intelligent wearable device provided in the embodiment of the present application, which is detailed as follows:
a1: and if the current scene is outdoor, acquiring an altitude change value of the intelligent wearable device. Specifically, the altitude change value is a relative value.
Optionally, as shown in fig. 3, the step of obtaining the altitude change value of the intelligent wearable device specifically includes:
a11: and acquiring the current air pressure value. Specifically, the intelligent wearable device is provided with a barometer, and the current air pressure value under the current scene is obtained through the barometer.
A12: and calculating a first altitude under the current barometric pressure value according to the current barometric pressure value and a preset altitude calculation algorithm. Specifically, the preset altitude calculation algorithm is an air pressure-height formula, which is called a pressure-height formula for short, and is a general formula reflecting the relationship between atmospheric pressure and altitude. It is composed ofForce balance conditions and gas state equations are derived. Illustratively, the first altitude is defined as H1And the current barometric pressure value is P1, the first altitude is calculated according to the following equation (1):
H1＝44300*(1-(P1/P0)^(1/5.256)) (1)；
wherein, the H1Represents the first altitude, P1Representing the current air pressure value, the P0 representing the atmospheric pressure (0 ℃, 1013.25 hPa).
A13: and calculating a second altitude under the reference atmospheric pressure value according to the reference atmospheric pressure value and a preset altitude calculation algorithm. Calculating a second altitude H from the reference barometric pressure P22Said second altitude H2The calculation method of (2) is shown in the above formula (1), and is not described in detail herein. The reference air pressure value can be customized by a user. Optionally, if the GPS signal is weak, an air pressure value is obtained, and the air pressure value is determined as a reference air pressure value. Specifically, in the embodiment of the present application, if the GPS signal is weakened from strong, it is determined that the user is indoors, and an indoor air pressure value is defined as a reference air pressure value, that is, a ground air pressure value. And when the GPS signal is changed from weak to strong, the reference air pressure value is the initial air pressure value.
A14: and determining an altitude change value of the intelligent wearable device according to the difference value of the first altitude and the second altitude. Specifically, H is calculated1And H2The difference value is the altitude change value of the intelligent wearable device.
A2: and when the altitude change value of the intelligent wearable device exceeds a preset altitude change threshold value, sending early warning information to a mobile terminal associated with the intelligent wearable device. The early warning message is used for prompting parents to keep track of whether the current environment of the child is safe. Further, for the accuracy and the validity that improve intelligent wearing equipment and send early warning message, avoid the mistake to send, in this application embodiment, work as when the altitude change value of intelligent wearing equipment surpasses preset altitude change value, acquire the duration of the current GPS signal of intelligent wearing equipment and the duration of altitude change value, if the duration of current GPS signal and the duration of altitude change value all surpasss preset duration value, then to the mobile terminal that intelligent wearing equipment is relevant sends early warning information. The duration of the current GPS signal refers to a time during which the same GPS signal remains stable, and the duration of the altitude change value refers to a time during which the altitude change value remains stable. For example, if the preset duration value is 3min, when the duration of the GPS signal and the altitude variation value exceeds 3min, the warning information is sent to the mobile terminal associated with the intelligent wearable device.
In this application embodiment, combine the relative altitude detection of current atmospheric pressure and ground atmospheric pressure (benchmark atmospheric pressure) to can deduce whether children get into the balcony or have the region of certain height outdoors, and then send early warning information to the head of a family's mobile terminal, improve the head of a family to the safe degree of attention of children, reduce children alone in dangerous areas such as balcony the time of playing, reduce the emergence of incident.
Optionally, as an embodiment of the present application, the scene environment data includes an ambient temperature and an ambient humidity, and fig. 4 shows a specific implementation flow of step S104 of the security early warning method based on the intelligent wearable device provided in the embodiment of the present application, which is detailed as follows:
b1: and if the current scene is indoor, acquiring an environmental temperature value and an environmental humidity value. Specifically, in the embodiment of the present application, if the GPS signal is weakened by strong, the user may enter the room from the outside, and the room may be the inside of the vehicle.
B2: and when the environment temperature value reaches a preset temperature condition and the environment humidity value meets a preset humidity condition corresponding to the preset temperature condition, sending early warning information to the mobile terminal associated with the intelligent wearable device. Specifically, the preset temperature condition may be a preset temperature interval, the preset temperature condition to which the environment temperature value belongs is determined according to the environment temperature value, a preset humidity condition corresponding to the preset temperature condition is obtained, and whether the environment humidity value reaches the preset humidity condition corresponding to the preset temperature condition is further determined. For example, when the ambient temperature value reaches 36 °, the temperature value belongs to a preset temperature range of 32 ° to 38 °, a preset humidity range corresponding to the preset temperature range is obtained, and further, whether the ambient humidity is lower than a lowest value of the preset humidity range is determined. And if the humidity is lower than the minimum value of the preset humidity interval, sending early warning information to the mobile terminal associated with the intelligent wearable device. And when the ambient temperature value is 20 degrees, the temperature is 18-24 degrees to a preset temperature interval, a preset humidity interval corresponding to the preset temperature interval is obtained, and further, whether the ambient humidity is higher than the lowest value of the preset humidity interval is judged. And if the humidity is higher than the minimum value of the preset humidity interval, sending early warning information to the mobile terminal associated with the intelligent wearable device.
In this application embodiment, when the children got into the car, for avoiding leading to children to be in car airtight space for a long time because of the head of a family forgets children in the car, cause life danger, judge through ambient temperature value and the ambient humidity value to in the car to confirm whether need send early warning information to the mobile terminal that intelligent wearing equipment is relevant, in time remind the head of a family to pay close attention to children's environment, thereby effectively guardianship children's safety.
In the embodiment of the application, the fluctuation trend of a GPS signal within a period of time is acquired, then the current scene where a user is located is determined according to the fluctuation trend, the position scene change of a child is monitored, the scene environment data corresponding to the current scene are acquired, the different scene environment data corresponding to different scenes of the child are monitored, and when the scene environment data reach the preset early warning condition, the early warning information is sent to the mobile terminal associated with the intelligent wearable device, so that the safety monitoring of the child is more detailed and comprehensive, the effectiveness of the safety monitoring is improved, and the safety of the child is effectively monitored.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Corresponding to the safety precaution method based on the intelligent wearable device described in the above embodiment, fig. 5 shows a structural block diagram of the safety precaution device based on the intelligent wearable device provided in the embodiment of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown.
Referring to fig. 5, the safety precaution device based on the intelligent wearable device includes: signal monitoring unit 51, scene confirm unit 52, environmental data acquisition unit 53, safety precaution unit 54, wherein:
the signal monitoring unit 51 is used for acquiring the fluctuation trend of the GPS signals within a period of time;
the scene determining unit 52 is configured to determine a current scene where the user is located according to the fluctuation trend;
an environment data acquiring unit 53 configured to acquire scene environment data corresponding to the current scene;
and the safety early warning unit 54 is configured to send early warning information to the mobile terminal associated with the intelligent wearable device when the scene environment data reaches a preset early warning condition.
Optionally, the fluctuation trend includes that the GPS signal is changed from weak to strong and the GPS signal is changed from strong to weak, and the scene determination unit 52 includes:
the first scene determining module is used for determining that the current scene where the user is located is outdoor when the GPS signal is changed from weak to strong;
and the second scene determining module is used for determining that the current scene where the user is located is indoor when the GPS signal is weakened from strong.
Optionally, the scene environment data includes an altitude change value, and the safety precaution unit 54 includes:
the height change value determining module is used for acquiring an altitude change value of the intelligent wearable device if the current scene is outdoor;
the first early warning module is used for sending early warning information to the mobile terminal associated with the intelligent wearable device when the altitude change value of the intelligent wearable device exceeds a preset altitude change threshold value.
Optionally, the first warning module specifically includes:
the duration time obtaining sub-module is used for obtaining the duration time of the current GPS signal of the intelligent wearable device and the duration time of the altitude change value when the altitude change value of the intelligent wearable device exceeds a preset altitude change value;
and the early warning notification submodule is used for sending early warning information to the mobile terminal associated with the intelligent wearable device if the duration of the current GPS signal and the duration of the altitude change value both exceed a preset duration value.
Optionally, the height change value determining module specifically includes:
the first air pressure value determining submodule is used for acquiring a current air pressure value;
the first altitude determining submodule is used for calculating a first altitude under the current barometric pressure value according to the current barometric pressure value and a preset altitude calculation algorithm;
the second altitude determining submodule is used for calculating a second altitude under the reference atmospheric pressure value according to the reference atmospheric pressure value and a preset altitude calculation algorithm;
and the height change value submodule is used for determining an altitude change value of the intelligent wearable device according to the difference value of the first altitude and the second altitude.
Optionally, the height variation value determining module further includes:
and the second air pressure value determining submodule is used for acquiring an air pressure value if the GPS signal is weakened from strong, and determining the air pressure value as a reference air pressure value.
Optionally, the scene environment data includes an ambient temperature and an ambient humidity, and the safety precaution unit 54 includes:
the indoor environment value acquisition module is used for acquiring an environment temperature value and an environment humidity value if the current scene is indoor;
and the second early warning module is used for sending early warning information to the mobile terminal associated with the intelligent wearable device when the environment temperature value reaches a preset temperature condition and the environment humidity value meets a preset humidity condition corresponding to the preset temperature condition.
In the embodiment of the application, the fluctuation trend of a GPS signal within a period of time is acquired, then the current scene where a user is located is determined according to the fluctuation trend, the position scene change of a child is monitored, the scene environment data corresponding to the current scene are acquired, the different scene environment data corresponding to different scenes of the child are monitored, and when the scene environment data reach the preset early warning condition, the early warning information is sent to the mobile terminal associated with the intelligent wearable device, so that the safety monitoring of the child is more detailed and comprehensive, the effectiveness of the safety monitoring is improved, and the safety of the child is effectively monitored.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
The embodiments of the present application further provide a computer-readable storage medium, where computer-readable instructions are stored, and when executed by a processor, the computer-readable instructions implement steps that can implement the above-mentioned method embodiments.
The embodiment of the present application provides a computer-readable instruction product, which when executed on a mobile terminal, enables the mobile terminal to implement the steps in the above method embodiments.
An embodiment of the present application further provides a computer-readable storage medium, where computer-readable instructions are stored, and when executed by a processor, the computer-readable instructions implement any one of the steps of the intelligent wearable device-based security early warning method as shown in fig. 1 to 4.
The embodiment of the application further provides an intelligent wearable device, which comprises a memory, a processor and computer readable instructions stored in the memory and executable on the processor, wherein the processor executes the computer readable instructions to implement any one of the steps of the safety precaution method based on the intelligent wearable device as shown in fig. 1 to 4.
The embodiment of the present application further provides a computer program product, which when running on a server, causes the server to execute the steps of implementing any one of the security early warning methods based on an intelligent wearable device as shown in fig. 1 to 4.
Fig. 6 is a schematic diagram of an intelligent wearable device provided in an embodiment of the present application. As shown in fig. 6, the smart wearable device 6 of this embodiment includes: a processor 60, a memory 61, and computer readable instructions 62 stored in the memory 61 and executable on the processor 60. When the processor 60 executes the computer readable instructions 62, the steps in each of the above-mentioned embodiments of the smart wearable device-based security precaution method, such as steps S101 to S104 shown in fig. 1, are implemented. Alternatively, the processor 60, when executing the computer readable instructions 62, implements the functions of the modules/units in the above-described device embodiments, such as the functions of the units 61 to 64 shown in fig. 6.
Illustratively, the computer readable instructions 62 may be partitioned into one or more modules/units that are stored in the memory 61 and executed by the processor 60 to accomplish the present application. The one or more modules/units may be a series of computer-readable instruction segments capable of performing specific functions, which are used to describe the execution process of the computer-readable instructions 62 in the smart wearable device 6.
Intelligent wearing equipment 6 can be intelligent devices such as intelligent wrist-watch, on-vehicle equipment intelligence bracelet. The smart wearable device 6 may include, but is not limited to, a processor 60, and a memory 61. Those skilled in the art will appreciate that fig. 6 is merely an example of smart-wearable device 6, and does not constitute a limitation on smart-wearable device 6, and may include more or less components than those shown, or combine some components, or different components, for example, smart-wearable device 6 may further include input and output devices, network access devices, buses, and the like.
The Processor 60 may be a CentraL Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an AppLication Specific Integrated Circuit (ASIC), an off-the-shelf ProgrammabLe Gate Array (FPGA) or other ProgrammabLe logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may be an internal storage unit of the smart wearable device 6, such as a hard disk or a memory of the smart wearable device 6. The memory 61 may also be an external storage device of the Smart wearable device 6, such as a plug-in hard disk provided on the Smart wearable device 6, a Smart Media Card (SMC), a Secure DigitaL (SD) Card, a FLash memory Card (FLash Card), and the like. Further, the memory 61 may also include both an internal storage unit and an external storage device of the smart wearable device 6. The memory 61 is used for storing the computer readable instructions and other programs and data required by the smart wearable device. The memory 61 may also be used to temporarily store data that has been output or is to be output.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (7)
1. A safety early warning method based on intelligent wearable equipment is characterized by comprising the following steps:
acquiring fluctuation trends of the GPS signals in a period of time, wherein the fluctuation trends comprise that the GPS signals are changed from weak to strong and the GPS signals are changed from strong to weak;
determining the current scene where the user is located according to the fluctuation trend;
acquiring scene environment data corresponding to the current scene;
when the scene environment data reach a preset early warning condition, sending early warning information to a mobile terminal associated with the intelligent wearable device; the scene environment data comprises an altitude change value, and when the scene environment data reaches a preset early warning condition, the step of sending early warning information to the mobile terminal associated with the intelligent wearable device comprises the following steps: if the current scene is outdoor, acquiring an altitude change value of the intelligent wearable device; when the altitude change value of the intelligent wearable device exceeds a preset altitude change threshold value, sending early warning information to a mobile terminal associated with the intelligent wearable device;
the step of obtaining the altitude change value of the intelligent wearable device comprises: acquiring a current air pressure value; calculating a first altitude under the current barometric pressure value according to the current barometric pressure value and a preset altitude calculation algorithm; calculating a second altitude under the reference atmospheric pressure value according to a reference atmospheric pressure value and a preset altitude calculation algorithm; determining an altitude change value of the intelligent wearable device according to the difference value of the first altitude and the second altitude;
and if the GPS signal is weakened from strong, acquiring an air pressure value, and determining the air pressure value as a reference air pressure value.
2. The method of claim 1, wherein the step of determining the current scene where the user is located according to the fluctuation trend comprises:
when the GPS signal changes from weak to strong, the current scene where the user is located is outdoor;
when the GPS signal is weakened by strong strength, the current scene where the user is located is indoors.
3. The method according to claim 1, wherein the step of sending warning information to the mobile terminal associated with the smart wearable device when the altitude change value of the smart wearable device exceeds a preset altitude change threshold specifically includes:
when the altitude change value of the intelligent wearable device exceeds a preset altitude change value, acquiring the duration of the current GPS signal of the intelligent wearable device and the duration of the altitude change value;
and if the duration of the current GPS signal and the duration of the altitude change value both exceed a preset duration value, sending early warning information to a mobile terminal associated with the intelligent wearable device.
4. The method according to claim 1, wherein the scene environment data includes an ambient temperature and an ambient humidity, and the step of sending the warning information to the mobile terminal associated with the smart wearable device when the scene environment data reaches a preset warning condition includes:
if the current scene is indoor, acquiring an environmental temperature value and an environmental humidity value;
and when the environment temperature value reaches a preset temperature condition and the environment humidity value meets a preset humidity condition corresponding to the preset temperature condition, sending early warning information to the mobile terminal associated with the intelligent wearable device.
5. The utility model provides a safety precaution device based on intelligence wearing equipment which characterized in that includes:
the signal monitoring unit is used for acquiring the fluctuation trend of the GPS signals in a period of time, wherein the fluctuation trend comprises that the GPS signals are changed from weak to strong and the GPS signals are changed from strong to weak;
the scene determining unit is used for determining the current scene where the user is located according to the fluctuation trend;
an environment data acquiring unit, configured to acquire scene environment data corresponding to the current scene;
the safety early warning unit is used for sending early warning information to the mobile terminal associated with the intelligent wearable device when the scene environment data reaches a preset early warning condition;
the scene environment data includes an altitude change value, and the safety precaution unit includes:
the height change value determining module is used for acquiring an altitude change value of the intelligent wearable device if the current scene is outdoor;
the first early warning module is used for sending early warning information to a mobile terminal associated with the intelligent wearable device when the altitude change value of the intelligent wearable device exceeds a preset altitude change threshold;
the height change value determination module specifically includes:
the first air pressure value determining submodule is used for acquiring a current air pressure value;
the first altitude determining submodule is used for calculating a first altitude under the current barometric pressure value according to the current barometric pressure value and a preset altitude calculation algorithm;
the second altitude determining submodule is used for calculating a second altitude under the reference atmospheric pressure value according to the reference atmospheric pressure value and a preset altitude calculation algorithm;
the height change value submodule is used for determining an altitude change value of the intelligent wearable device according to a difference value between the first altitude and the second altitude;
and the second air pressure value determining submodule is used for acquiring an air pressure value if the GPS signal is weakened from strong, and determining the air pressure value as a reference air pressure value.
6. An intelligent wearable device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the intelligent wearable device-based security precaution method of any one of claims 1 to 4 when executing the computer program.
7. A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the smart wearable device-based security precaution method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910941899.XA CN110689702B (en) | 2019-09-30 | 2019-09-30 | Safety early warning method and device based on intelligent wearable device and intelligent wearable device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910941899.XA CN110689702B (en) | 2019-09-30 | 2019-09-30 | Safety early warning method and device based on intelligent wearable device and intelligent wearable device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110689702A CN110689702A (en) | 2020-01-14 |
| CN110689702B true CN110689702B (en) | 2021-11-19 |
Family
ID=69111444
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910941899.XA Active CN110689702B (en) | 2019-09-30 | 2019-09-30 | Safety early warning method and device based on intelligent wearable device and intelligent wearable device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110689702B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113645568B (en) * | 2021-08-12 | 2024-02-27 | 山东卡尔电气股份有限公司 | Floor positioning system and method based on intelligent positioner |
| CN113655501A (en) * | 2021-09-02 | 2021-11-16 | 宁波九纵智能科技有限公司 | Beidou positioning-based on-site electrified body safe distance area division system and method |
| CN115019488A (en) * | 2022-05-30 | 2022-09-06 | 歌尔股份有限公司 | Monitoring method, device, system and medium based on intelligent wearable device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001090771A1 (en) * | 2000-05-23 | 2001-11-29 | Tracer Ab | Satellite/radio based tracing system |
| CN201955632U (en) * | 2011-01-18 | 2011-08-31 | 四川师范大学 | Multifunctional tourist watch |
| CN108173563A (en) * | 2017-12-27 | 2018-06-15 | 广东小天才科技有限公司 | Early warning method based on wearable device positioning and wearable device |
| CN108882175A (en) * | 2018-08-16 | 2018-11-23 | 广东小天才科技有限公司 | Positioning method and device, intelligent wearable device and storage medium |
| CN109141355A (en) * | 2018-08-28 | 2019-01-04 | 广东小天才科技有限公司 | Relative height measuring method based on multiple sensors and wearable equipment |
| CN109685928A (en) * | 2019-01-22 | 2019-04-26 | 重庆市蛛丝网络科技有限公司 | A kind of electronic patrol device and method |
| CN109949540A (en) * | 2019-04-03 | 2019-06-28 | 合肥科塑信息科技有限公司 | A kind of artificial intelligence early warning system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005327134A (en) * | 2004-05-14 | 2005-11-24 | Matsushita Electric Ind Co Ltd | Abnormality detecting apparatus and abnormality detecting method |
| JP3205618U (en) * | 2016-05-24 | 2016-08-04 | 有限会社ビービープランニング | Fall prevention aid |
| CN106507053A (en) * | 2016-11-28 | 2017-03-15 | 深圳万智联合科技有限公司 | Balcony safety monitoring system |
-
2019
- 2019-09-30 CN CN201910941899.XA patent/CN110689702B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001090771A1 (en) * | 2000-05-23 | 2001-11-29 | Tracer Ab | Satellite/radio based tracing system |
| CN201955632U (en) * | 2011-01-18 | 2011-08-31 | 四川师范大学 | Multifunctional tourist watch |
| CN108173563A (en) * | 2017-12-27 | 2018-06-15 | 广东小天才科技有限公司 | Early warning method based on wearable device positioning and wearable device |
| CN108882175A (en) * | 2018-08-16 | 2018-11-23 | 广东小天才科技有限公司 | Positioning method and device, intelligent wearable device and storage medium |
| CN109141355A (en) * | 2018-08-28 | 2019-01-04 | 广东小天才科技有限公司 | Relative height measuring method based on multiple sensors and wearable equipment |
| CN109685928A (en) * | 2019-01-22 | 2019-04-26 | 重庆市蛛丝网络科技有限公司 | A kind of electronic patrol device and method |
| CN109949540A (en) * | 2019-04-03 | 2019-06-28 | 合肥科塑信息科技有限公司 | A kind of artificial intelligence early warning system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110689702A (en) | 2020-01-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110689702B (en) | Safety early warning method and device based on intelligent wearable device and intelligent wearable device | |
| US10074257B2 (en) | Security prejudgment based on characteristic information | |
| CN110941020B (en) | Detection method and device for stolen shooting equipment based on electromagnetic leakage | |
| CN107678045B (en) | Global positioning system starting method, user terminal and related medium product | |
| CN105049600A (en) | Mobile terminal automatic prompting method and system based on infrared distance measuring sensor | |
| US11557183B2 (en) | Social distancing device, system and method | |
| WO2021077587A1 (en) | Differential data processing method, and receiver testing method | |
| CN107515811B (en) | Method and device for acquiring power consumption of application program | |
| CN109726555B (en) | Virus detection processing method, virus prompting method and related equipment | |
| US20100103037A1 (en) | Electronic device and method for positioning the electronic device | |
| CN109521451B (en) | Method, device and system for judging environment of intelligent device and storage medium | |
| JP2009536347A (en) | RF front end for GPS, positioning method, and storage medium and apparatus for the method | |
| CN111123326B (en) | Positioning method, positioning device, storage medium and terminal | |
| CN107957677B (en) | Time equipment time calibration method of vehicle-mounted equipment | |
| US11662473B2 (en) | Detection and mitigation of false global navigation satellite system tracks in the presence of locally generated interference | |
| JP2011081746A (en) | Position information correction system | |
| CN213305766U (en) | Epidemic situation monitoring system | |
| US20210173091A1 (en) | System and method for providing global navigation satellite system (gnss) signal processing in multipath environment | |
| CN112083455A (en) | Positioning method, radio frequency circuit, terminal equipment and readable storage medium | |
| CN113484883A (en) | Positioning method and device and electronic equipment | |
| WO2017004865A1 (en) | Alarm processing method and apparatus, and terminal | |
| CN110599738A (en) | Moving object monitoring method, device, equipment and system | |
| CN107976171B (en) | Information processing method, device and equipment | |
| US9091756B2 (en) | Receiving method and receiving apparatus | |
| CN112526494A (en) | Method and device for acquiring ranging data, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |