CN109710105A - Intelligent helmet, fire-fighting and rescue method and Related product - Google Patents
Intelligent helmet, fire-fighting and rescue method and Related product Download PDFInfo
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Abstract
The embodiment of the present application discloses a kind of intelligent helmet, fire-fighting and rescue method and Related product, comprising: obtains the environmental parameter at scene；The target duration being able to maintain that by the wearer that the ambient parameter analysis wears the intelligent helmet, and countdown is carried out with the target duration；When the countdown is less than preset threshold, the wearer is prompted to withdraw the scene.Using the embodiment of the present application, the duration that wearer can be able to maintain that in the environment can be obtained, in turn, wearer is prompted, can both guarantee the safety of wearer, wearer can also be reminded to improve rescue efficiency by analyzing environment.
Description
Technical field
This application involves electronic technology fields, and in particular to a kind of intelligent helmet, fire-fighting and rescue method and Related product.
Background technique
Currently, city size degree increasingly improves with economic development, social security wealth increases sharply, Urban Fires, burst calamity
The occurrence probability such as evil accident increase year by year, and casualties, property loss increase year by year.
With the continuous development of science and technology, intellectual technology has also obtained development at full speed, with the development of intellectual technology, very much
Application about intellectual technology is also a large amount of to be occurred, emergency guarantee, salvor fire extinguishing, rescue, in terms of dress
Standby, equipment has to be hoisted, and under rugged environment, such as fire fighting, rescue, dangerization is put out a fire, dangerization is rescued etc. under scenes, how to be had
The problem of effect prompt fire fighter withdraws is urgently to be resolved.
Summary of the invention
The embodiment of the present application provides a kind of fire-fighting and rescue intelligent helmet, fire-fighting and rescue method and Related product, with reality
Now more intelligently protection staff is safe, improves the efficiency of fire extinguishing, rescue.
In a first aspect, the embodiment of the present application provides a kind of fire-fighting and rescue intelligent helmet, the intelligent helmet includes processing
Device, and the sensor being connected to the processor, wherein
The sensor, for obtaining the environmental parameter at scene；
The processor, the wearer for wearing the intelligent helmet by the ambient parameter analysis are able to maintain that
Target duration, and with the target duration carry out countdown；And when the countdown is less than preset threshold, prompt the pendant
The personnel of wearing withdraw the scene.
Second aspect, the embodiment of the present application provide a kind of fire-fighting and rescue mode, are applied to fire-fighting and rescue intelligent helmet,
The described method includes:
Obtain the environmental parameter at scene；
The target duration being able to maintain that by the wearer that the ambient parameter analysis wears the intelligent helmet, and with
The target duration carries out countdown；
When the countdown is less than preset threshold, the wearer is prompted to withdraw the scene.
The third aspect, the embodiment of the present application provide a kind of fire-fighting and deliverance apparatus, are applied to fire-fighting and rescue intelligent helmet,
Described device includes: acquiring unit, analytical unit and prompt unit, wherein
The acquiring unit, for obtaining the environmental parameter at scene；
The analytical unit, the wearer for wearing the intelligent helmet by the ambient parameter analysis can be tieed up
The target duration held, and countdown is carried out with the target duration；
The prompt unit, for prompting the wearer to withdraw described when the countdown is less than preset threshold
Scene.
Fourth aspect, the embodiment of the present application provide a kind of intelligent helmet, including processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure includes the steps that the instruction for executing the embodiment of the present application second aspect.
5th aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above-mentioned computer-readable
Storage medium storage is used for the computer program of electronic data interchange, wherein above-mentioned computer program executes computer such as
Part or all of step described in the embodiment of the present application second aspect.
6th aspect, the embodiment of the present application provide a kind of computer program product, wherein above-mentioned computer program product
Non-transient computer readable storage medium including storing computer program, above-mentioned computer program are operable to make to calculate
Machine executes the step some or all of as described in the embodiment of the present application second aspect.The computer program product can be one
A software installation packet.
As can be seen that intelligent helmet, fire-fighting and rescue method and Related product described in the embodiment of the present application, obtain existing
The environmental parameter of field, the target duration being able to maintain that by the wearer that ambient parameter analysis wears intelligent helmet, and with this
Target duration carries out countdown, when countdown is less than preset threshold, prompts user to withdraw scene, so, it is possible by ring
Border is analyzed, and the duration that wearer can be able to maintain that in the environment is obtained, and in turn, prompts wearer, both can be with
The safety for guaranteeing wearer can also remind wearer to improve rescue efficiency.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Figure 1A is a kind of structural schematic diagram of intelligent helmet provided by the embodiments of the present application；
Figure 1B is a kind of flow diagram of fire-fighting and rescue method provided by the embodiments of the present application；
Fig. 2 is the flow diagram of another fire-fighting and rescue method provided by the embodiments of the present application；
Fig. 3 is a kind of structural schematic diagram of intelligent helmet provided by the embodiments of the present application；
Fig. 4 is a kind of functional module composition block diagram of fire-fighting and rescue apparatus provided by the embodiments of the present application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as contain series of steps or the process, method, system, product or equipment of module do not have
It is defined in listed step or module, but optionally further comprising the step of not listing or module, or optionally also wrap
Include other steps or module intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Fire-fighting involved by the embodiment of the present application and rescue intelligent helmet, can solve existing fire helmet cannot achieve
Intelligentized problem, intelligent helmet can integrate multiple hardware modules with different function, by between multiple hardware modules
Function interaction, realizes the intelligence of intelligent helmet.
It describes in detail below to the embodiment of the present application.
Figure 1A is please referred to, Figure 1A is that the embodiment of the present application provides a kind of structural schematic diagram of intelligent helmet 100, the intelligence
The helmet 100 includes:
Processor 101, and the sensor 102, memory 103 and the communication module 104 that are connect with processor 101, wherein
The sensor 102, for obtaining the environmental parameter at scene；
The processor 101, the wearer for wearing the intelligent helmet by the ambient parameter analysis can
The target duration of maintenance, and countdown is carried out with the target duration；And when the countdown is less than preset threshold, prompt institute
It states wearer and withdraws the scene.
In the embodiment of the present application, memory, for example (,) hard drive memory, nonvolatile memory (such as flash memory or use
In formed solid state drive other electrically programmable read only memories etc.), volatile memory (such as either statically or dynamically with
Machine accesses memory etc.) etc., the embodiment of the present application is with no restriction.Processor can microprocessor based on one or more, micro-control
Device processed, digital signal processor, baseband processor, power management unit, audio codec chip, specific integrated circuit are shown
Show driver IC etc. to realize.
Processor can be used for running the software in intelligent helmet, such as the Internet browser application program, Internet protocol language
Sound (Voice over Internet Protocol, VOIP) call application program, email application, media are broadcast
Put application program, operation system function etc..These softwares can be used for executing some control operations, for example, based on camera
Image Acquisition, the ambient light measurement based on ambient light sensor, the proximity sensor measurement based on proximity sensor, based on such as
The information display function that the positioning indicators such as the status indicator lamp of light emitting diode are realized, the touch event based on touch sensor
Detection is related to wireless communication function is executed and in the associated function of multiple (such as layering) display information displayed on screen
The operation of connection, operation associated with collecting and generating audio signal are associated with collection and treatment button press event data
Control operation and intelligent helmet in other functions etc., the embodiment of the present application is with no restriction.
Sensor may include ambient light sensor, humidity sensor, smoke sensor device, temperature sensor, based on light and
The proximity sensor of capacitor, optical finger print identify mould group, and touch sensor is (for example, be based on light touch sensor and/or condenser type
Touch sensor, wherein touch sensor can be a part of touching display screen, can also be used as a touch sensor knot
Structure independently uses), acceleration transducer and other sensors etc..
Intelligent helmet can also include one or more display screens or micro- projection arrangement.Display screen may include liquid crystal
Display screen, organic light-emitting diode (OLED) display screen, electric ink display screen, plasma panel use the display of other display technologies
One or several kinds of combination in screen.Display screen may include that touch sensor array (is shown that is, display screen can be touch-control
Screen).Touch sensor can be the electricity formed by transparent touch sensor electrode (such as tin indium oxide (ITO) electrode) array
Appearance formula touch sensor, or can be the touch sensor formed using other touching techniques, such as sound wave touch-control, pressure-sensitive touching
It touches, resistive touch, optical touch etc., the embodiment of the present application is with no restriction.
Intelligent helmet can also include audio component.Audio component can be used for providing audio input and defeated for intelligent helmet
Function out.Audio component in intelligent helmet may include loudspeaker, microphone, bone conduction earphone, buzzer, tone generator
And it is other for generating and detecting the component of sound.
Intelligent helmet can further include battery, power management circuitry and other input-output units.Input-defeated
Unit may include button, control stick, click wheel, scroll wheel, touch tablet, keypad, keyboard, camera, light emitting diode out
With other positioning indicators etc..
Communication module can be used for providing the ability with external device communication for intelligent helmet.Communication module may include mould
Numeral input-output interface circuit is fitted, and the wireless communication module based on radiofrequency signal and/or optical signal.In communication module
Wireless communication module may include radio-frequency transceiver circuitry, power amplifier circuit, low-noise amplifier, switch, filter
And antenna.For example, the wireless communication module in communication module may include for by emitting and receiving near-field coupling electricity
Magnetic signal supports the circuit of near-field communication (Near Field Communication, NFC).For example, communication module can wrap
Include near-field communication aerial and near-field communication transceiver.Communication module can also include cellular telephone transceiver and antenna, wireless office
Domain net transceiver circuit and antenna etc..
Wherein, what micro- projection arrangement utilized is that head-up display (head up display, HUD) optical reflection is thrown
Shadow principle, micro- projection arrangement can throw into light on one piece of radiation shield, then be refracted to human eyeball by one piece of convex lens, realize
Amplification forms a sufficiently large virtual screen before human eye, simple text information and various data can be shown, by micro- throwing
Image device is integrated on intelligent helmet, can will be before the data projections to intelligent helmet such as current location, temperature information, amount of oxygen
Face enables fire-fighting individual soldier to be clearly apparent all data, for example, can project all data small below fire-fighting individual soldier's right eye
On screen, fire-fighting individual soldier is enable more easily to see the number such as environment temperature, amount of oxygen, best-effort path, location information of display
According to.
Wherein, the bone conduction earphone is for realizing fire-fighting individual soldier and fire command system, fire-fighting individual soldier and other fire-fightings
Two-way call between individual soldier, fire command system include fire-fighting control platform, and intelligent helmet can be between fire-fighting control platform
It is communicatively coupled, so as to make the commanding of fire command system by fire-fighting control platform and wear the fire-fighting list of the helmet
It is communicated between soldier, by bone conduction earphone, the vibration of human skull can be converted acoustic waves into, it directly will vibration around ear-drum
It is transmitted to cochlea, is more clear the effect of sound transmission.
Wherein, the camera may include following at least one: video camera, thermal infrared camera, 3D recognition of face
Camera, TOF depth camera, specifically, video camera can be used for shooting video, and thermal infrared camera can be used for infrared heat
The infra-red radiation of the detectable target object of imager, and by technologies such as photoelectric conversion, signal processings, by the temperature of target object
Distributed image is converted into video image, and 3D recognition of face camera can be used to identify target object to be rescued, flight time
(time of flight, TOF) depth camera is used to detect the distance of target object.Above-mentioned a variety of cameras can be according to demand
It is detachably arranged on intelligent helmet, thus, different cameras can be configured according to different functional requirements, realized different
Photographic effect.
In a possible example, the memory, for storing the physiological characteristic parameter of the wearer；
In the duration that the wearer for wearing the intelligent helmet by the ambient parameter analysis is able to maintain that, institute
Processor is stated to be specifically used for:
The target physical state grade of the wearer is determined according to the physiological characteristic parameter；
The environmental parameter is analyzed, determines the target danger classes at the scene；
The mapping relations between duration are maintained according to preset danger classes and the limit, determine the target danger classes pair
The first object limit answered maintains duration；
The mapping relations between duration are maintained according to preset physical condition grade and second limit, determine the target body
Corresponding second target limit of body state parameter maintains duration；
Obtain corresponding first weight of danger classes and corresponding second weight of physical condition grade；
Duration, second target limit is maintained to maintain duration, first weight, institute according to the first object limit
It states the second weight to be weighted, obtains the target duration.
In a possible example, the environmental parameter includes: target environment temperature, target smokescope, described
The environmental parameter is analyzed, in terms of the target danger classes for determining the scene, the processor is specifically used for:
According to the mapping relations between preset temperature and danger classes, corresponding first danger of the environment temperature is determined
Grade；
According to the mapping relations between preset smokescope and danger classes, the smokescope corresponding second is determined
Danger classes；
It, will when the target environment temperature is higher than preset temperature and the target smokescope is greater than default smokescope
High-risk grade in first danger classes and second danger classes is as the target danger classes；
It is less than or equal to the preset temperature in the target environment temperature and the target smokescope is greater than described pre-
If when smokescope, using second danger classes as the target danger classes；
It is higher than the preset temperature in the target environment temperature and the target smokescope is less than or equal to described pre-
If when smokescope, using first danger classes as the target danger classes；
It is less than or equal to the preset temperature in the target environment temperature and the target smokescope is less than or equal to
When the default smokescope, using the low danger classes in first danger classes and second danger classes as described in
Target danger classes.
In a possible example, the processor, also particularly useful for:
The corresponding indoor map in the scene is obtained, and marks current location in the indoor map；
Target outlet is obtained, and is being cooked up between the current location and the target outlet in the indoor map
Navigation routine determines the distance of the navigation routine；
Obtain the average rate travel of the wearer；
Using the ratio between the distance and the average rate travel as the preset threshold.
In a possible example, the communication module for establishing communication connection between wearable device, and is obtained
The exercise data for taking the wearable device to acquire in preset time period；
In terms of the average rate travel for obtaining the wearer, the processor is specifically used for:
Segment processing is carried out to the exercise data, obtains multiple segment movement data；
It determines the corresponding energy value of each segment movement data in the multiple segment movement data, obtains multiple energy
Value；
The target energy value for being greater than preset energy value is chosen from the multiple energy value, obtains at least one target energy
Value；
The average shifting of the wearer is determined according to the corresponding segment movement data of at least one target energy value
Dynamic rate.
Figure 1B is please referred to, Figure 1B is the flow diagram of a kind of fire-fighting provided by the embodiments of the present application and rescue mode, such as
Shown in figure, applied to intelligent helmet as shown in Figure 1A, this fire-fighting and rescue mode include:
101, the environmental parameter at scene is obtained.
Wherein, environmental parameter can be following at least one: environment temperature, ambient humidity, smokescope, light intensity etc.
Deng being not limited thereto.In the specific implementation, intelligent helmet can pass through the environmental parameter of its sensor collection site.
102, the target duration being able to maintain that by the wearer that the ambient parameter analysis wears the intelligent helmet,
And countdown is carried out with the target duration.
Wherein, above-mentioned wearer can be fire fighter, be also possible to the personnel that scene is succoured and also may be used certainly
It can be guard station reporter, etc., be not limited thereto.In the specific implementation, intelligent helmet can go out wear according to ambient parameter analysis
The target duration that personnel are able to maintain that, and countdown is carried out with the target duration, further, it is less than preset duration in countdown
When, can be sent out alarm, perhaps vibration signal preset duration can be by user's self-setting or system default.
Optionally, the physiological characteristic parameter of the wearer is stored in advance in the intelligent helmet；Above-mentioned steps 102,
The duration being able to maintain that by the wearer that the ambient parameter analysis wears the intelligent helmet, it may include following steps:
21, the target physical state grade of the wearer is determined according to the physiological characteristic parameter；
22, the environmental parameter is analyzed, determines the target danger classes at the scene；
23, the mapping relations between duration are maintained according to preset danger classes and the limit, determines described target danger etc.
The corresponding first object limit of grade maintains duration；
24, the mapping relations between duration are maintained according to preset physical condition grade and second limit, determines the mesh
It marks corresponding second target limit of physical condition parameter and maintains duration；
25, corresponding first weight of danger classes and corresponding second weight of physical condition grade are obtained；
26, duration, second target limit is maintained to maintain duration, first power according to the first object limit
Value, second weight are weighted, and obtain the target duration.
Wherein, above-mentioned physiological characteristic parameter can be following at least one: height, weight, fat ratio, muscle ratios,
Blood pressure, blood glucose etc., are not limited thereto, and in the embodiment of the present application, the limit maintains duration to can be understood as in live energy of putting out a fire
Enough slow-witted longest durations are more than the longest duration, then very likely occur dangerous.It can in the memory of above-mentioned intelligent helmet
The physiological characteristic parameter of wearer is stored in advance.In the specific implementation, physiological characteristic can also be stored in advance in intelligent helmet
Mapping relations between parameter and physical condition grade can determine that the physiology of wearer is special in turn according to the mapping relations
Levy the corresponding target physical state grade of parameter.Certainly, different temperature, different smokescopes then correspond to different danger etc.
Grade, therefore, intelligent helmet can analyze environmental parameter, obtain the corresponding target danger classes in scene.
Further, under different danger classes, the duration that wearer is able to maintain that is also different.In intelligent helmet
The mapping relations between preset danger classes and limit maintenance duration and preset physical condition etc. can also be stored in advance
Grade maintains the mapping relations between duration second limit, in turn, can be according to preset danger classes and the limit is stored in advance
The mapping relations between duration are maintained, determine that the corresponding first object limit of target danger classes maintains duration, and according to pre-
If physical condition grade and second limit maintain the mapping relations between duration, determine target physical state parameter corresponding the
Two target limits maintain duration, it is, of course, also possible to obtain corresponding first weight of danger classes and physical condition grade correspondence
The second weight duration, the second target limit can be maintained to maintain duration, the first weight, the according to the first object limit in turn
Two weights are weighted, and obtain target duration, and specifically, target duration=first object limit maintains duration * first to weigh
It is worth the+the second target limit and maintains the second weight of duration *, in turn, can goes out disappear according to user's body state and environment, Shared Decision Making
The limit duration of anti-personnel, on the one hand, ensure the safety of fire fighter, on the other hand, effectively fire fighter can also be reminded to mention
High rescue efficiency.
Optionally, the environmental parameter includes: target environment temperature, target smokescope, above-mentioned steps 22, to the ring
Border parameter is analyzed, and determines the target danger classes at the scene, it may include following steps:
221, according to the mapping relations between preset temperature and danger classes, the environment temperature corresponding first is determined
Danger classes；
222, according to the mapping relations between preset smokescope and danger classes, determine that the smokescope is corresponding
Second danger classes；
223, it is higher than preset temperature in the target environment temperature and the target smokescope is greater than default smokescope
When, using the high-risk grade in first danger classes and second danger classes as the target danger classes；
224, it is less than or equal to the preset temperature in the target environment temperature and the target smokescope is greater than institute
When stating default smokescope, using second danger classes as the target danger classes；
225, it is higher than the preset temperature in the target environment temperature and the target smokescope is less than or equal to institute
When stating default smokescope, using first danger classes as the target danger classes；
226, in the target environment temperature less than or equal to the preset temperature and the target smokescope be less than or
When equal to the default smokescope, using the low danger classes in first danger classes and second danger classes as
The target danger classes.
Wherein, above-mentioned preset temperature, default smokescope can be by user's self-setting or system defaults.Intelligent head
The mapping relations between preset temperature and danger classes and preset smokescope and danger can also be stored in advance in helmet
Mapping relations between grade.
In turn, in the specific implementation, intelligent helmet determines ring according to the mapping relations between preset temperature and danger classes
Corresponding first danger classes of border temperature, and according to the mapping relations between preset smokescope and danger classes, determine
Corresponding second danger classes of smokescope is higher than preset temperature in target environment temperature and target smokescope is greater than default cigarette
When mistiness is spent, using the high-risk grade in the first danger classes and the second danger classes as target danger classes, in target ring
Border temperature is less than or equal to preset temperature and when target smokescope is greater than default smokescope, using the second danger classes as mesh
Danger classes is marked, when target environment temperature is higher than preset temperature and target smokescope is less than or equal to default smokescope,
Using the first danger classes as target danger classes, it is less than or equal to preset temperature and target smokescope in target environment temperature
When less than or equal to default smokescope, endanger the low danger classes in the first danger classes and the second danger classes as target
Dangerous grade so, it is possible to go out live danger classes by temperature and smokescope Shared Decision Making.
103, when the countdown is less than preset threshold, the wearer is prompted to withdraw the scene.
Wherein, above-mentioned preset threshold can be by user's self-setting or system default.It is less than preset threshold in countdown
When, then illustrate that user is by environmental constraints at this time, for example, the duration that breathing mask can maintain is limited, fire-entry suit can be in height
The duration that middle benefit gas maintains is also limited, and the physical efficiency of user is also limited, therefore, when countdown is lower than preset threshold, then can prompt
Wearer withdraws scene, to guarantee the safety of wearer.
Under illustration, the embodiment of the present application can pass through sensor (such as toxic gas sensor, temperature sensor, sky
Exhale monitoring sensor) real-time detection scene environmental parameter, in turn, by processor by obtaining to site environment Parameter analysis
The duration that wearer can adhere to can also show the duration by micro- projection arrangement, in turn, wearer be prompted to remove in time
From scene, to guarantee the life security of wearer.
Optionally, between above-mentioned steps 101- step 103, can also include the following steps:
A1, the corresponding indoor map in the scene is obtained, and marks current location in the indoor map；
A2, obtain target outlet, and cook up in the indoor map current location and the target outlet it
Between navigation routine, determine the distance of the navigation routine；
A3, the average rate travel for obtaining the wearer；
A4, using the ratio between the distance and the average rate travel as the preset threshold.
Wherein, above-mentioned target outlet can be preset or the outlet nearest with current location, in the specific implementation, intelligence
The corresponding indoor map in the available scene of the helmet, and by GPS positioning technology or indoor positioning technologies indoors map
Current location is marked, and obtains target outlet, passage path planning algorithm is cooked up between current location and target outlet
Navigation routine, the distance of the navigation routine can also be determined, it is possible to further obtain the average mobile speed of wearer
Rate, preset threshold=distance/average rate travel, in this way, preset threshold can be set according to the speed of travel of wearer,
It can guarantee that wearer can have grace time to safely evacuate scene.
Optionally, above-mentioned steps A3 obtains the average rate travel of the wearer, may include steps of:
A31, the exercise data that the wearable device is acquired in preset time period is obtained；
A32, segment processing is carried out to the exercise data, obtains multiple segment movement data；
A33, it determines the corresponding energy value of each segment movement data in the multiple segment movement data, obtains multiple energy
Magnitude；
A34, the target energy value for being greater than preset energy value is chosen from the multiple energy value, obtain at least one target
Energy value；
A35, the flat of the wearer is determined according to the corresponding segment movement data of at least one target energy value
Equal rate travel.
Wherein, above-mentioned preset energy value can be by user's self-setting or system default.Wearer can also be worn
Wearable device, in turn, the available exercise data acquired by wearable device in preset time period, which can
By user's self-setting or system default.Further, exercise data can be carried out segment processing by intelligent helmet, such as:
Multiple segment movement data are averagely divided into, in turn, can determine each segment movement data pair in multiple segment movement data
The energy value answered obtains multiple energy values, and the target energy value greater than preset energy value can be chosen from multiple energy values, is obtained
To at least one target energy value, wearer is determined according to the corresponding segment movement data of at least one target energy value
Average rate travel specifically can determine the corresponding distance of the corresponding segment movement data of at least one target energy value, with
And duration, average rate travel=distance/duration, since in rescue operations, rescue personnel may not moved, therefore, such as
Fruit considers all exercise datas, then can not accurately learn that the rate travel of wearer can using the embodiment of the present application
Precisely estimate the rate travel of wearer.
As can be seen that fire-fighting and rescue method described in the embodiment of the present application, obtains the environmental parameter at scene, passes through ring
Border Parameter analysis wears the target duration that the wearer of intelligent helmet is able to maintain that, and carries out countdown with the target duration,
When countdown is less than preset threshold, prompts user to withdraw scene, so, it is possible to be worn by analyzing environment
The duration that personnel can be able to maintain that in the environment prompts wearer, can both guarantee the safety of wearer in turn,
Wearer can also be reminded to improve rescue efficiency.
Referring to Fig. 2, Fig. 2 is the flow diagram of another fire-fighting provided by the embodiments of the present application and rescue mode, such as
Shown in figure, applied to intelligent helmet as shown in Figure 1A, this fire-fighting and rescue mode include:
201, the environmental parameter at scene is obtained.
202, the target duration being able to maintain that by the wearer that the ambient parameter analysis wears the intelligent helmet,
And countdown is carried out with the target duration.
203, the corresponding indoor map in the scene is obtained, and marks current location in the indoor map.
204, obtain target outlet, and cook up in the indoor map current location and the target outlet it
Between navigation routine, determine the distance of the navigation routine.
205, the average rate travel of the wearer is obtained.
206, using the ratio between the distance and the average rate travel as preset threshold.
207, when the countdown is less than the preset threshold, the wearer is prompted to withdraw the scene.
Wherein, the specific descriptions of above-mentioned steps 201- step 207 are referred to fire-fighting described in above-mentioned Figure 1B and rescue
The corresponding steps of method, details are not described herein.
As can be seen that fire-fighting and rescue method described in the embodiment of the present application, obtains the environmental parameter at scene, passes through ring
Border Parameter analysis wears the target duration that the wearer of intelligent helmet is able to maintain that, and carries out countdown with the target duration,
The corresponding indoor map in scene is obtained, and marks current location in map indoors, obtains target outlet, and map indoors
In cook up navigation routine between current location and target outlet, determine the distance of navigation routine, obtain wearer
Average rate travel is less than preset threshold in countdown using the ratio between distance and average rate travel as preset threshold
When, it prompts user to withdraw scene, so, it is possible by analyzing environment, obtaining wearer can in the environment can
The duration enough maintained prompts wearer, can both guarantee the safety of wearer, wearer can also be reminded to mention in turn
High rescue efficiency.
Consistently with above-described embodiment, referring to Fig. 3, Fig. 3 is a kind of knot of intelligent helmet provided by the embodiments of the present application
Structure schematic diagram, as shown, the intelligent helmet includes processor, memory, communication interface and one or more program,
In, said one or multiple programs are stored in above-mentioned memory, and are configured to be executed by above-mentioned processor, and the application is real
It applies in example, above procedure includes the instruction for executing following steps:
Obtain the environmental parameter at scene；
The target duration being able to maintain that by the wearer that the ambient parameter analysis wears the intelligent helmet, and with
The target duration carries out countdown；
When the countdown is less than preset threshold, the wearer is prompted to withdraw the scene.
As can be seen that intelligent helmet described in the embodiment of the present application, obtains the environmental parameter at scene, is joined by environment
The target duration that the wearer of intelligent helmet is able to maintain that is worn in number analysis, and carries out countdown with the target duration, is being fallen
When timing is less than preset threshold, prompts user to withdraw scene, so, it is possible to obtain wearer by analyzing environment
The duration that can be able to maintain that in the environment prompts wearer, can both guarantee the safety of wearer in turn, can also
To remind wearer to improve rescue efficiency.
In a possible example, the physiological characteristic parameter of the wearer is stored in advance in the intelligent helmet；
It is rectangular when the wearer for wearing the intelligent helmet by the ambient parameter analysis is able to maintain that
Face, above procedure include the instruction for executing following steps:
The target physical state grade of the wearer is determined according to the physiological characteristic parameter；
The environmental parameter is analyzed, determines the target danger classes at the scene；
The mapping relations between duration are maintained according to preset danger classes and the limit, determine the target danger classes pair
The first object limit answered maintains duration；
The mapping relations between duration are maintained according to preset physical condition grade and second limit, determine the target body
Corresponding second target limit of body state parameter maintains duration；
Obtain corresponding first weight of danger classes and corresponding second weight of physical condition grade；
Duration, second target limit is maintained to maintain duration, first weight, institute according to the first object limit
It states the second weight to be weighted, obtains the target duration.
In a possible example, the environmental parameter includes: target environment temperature, target smokescope, described
The environmental parameter is analyzed, in terms of the target danger classes for determining the scene, the processor is specifically used for:
According to the mapping relations between preset temperature and danger classes, corresponding first danger of the environment temperature is determined
Grade；
According to the mapping relations between preset smokescope and danger classes, the smokescope corresponding second is determined
Danger classes；
It, will when the target environment temperature is higher than preset temperature and the target smokescope is greater than default smokescope
High-risk grade in first danger classes and second danger classes is as the target danger classes；
It is less than or equal to the preset temperature in the target environment temperature and the target smokescope is greater than described pre-
If when smokescope, using second danger classes as the target danger classes；
It is higher than the preset temperature in the target environment temperature and the target smokescope is less than or equal to described pre-
If when smokescope, using first danger classes as the target danger classes；
It is less than or equal to the preset temperature in the target environment temperature and the target smokescope is less than or equal to
When the default smokescope, using the low danger classes in first danger classes and second danger classes as described in
Target danger classes.
In a possible example, above procedure further includes the instruction for executing following steps:
The corresponding indoor map in the scene is obtained, and marks current location in the indoor map；
Target outlet is obtained, and is being cooked up between the current location and the target outlet in the indoor map
Navigation routine determines the distance of the navigation routine；
Obtain the average rate travel of the wearer；
Using the ratio between the distance and the average rate travel as the preset threshold.
In a possible example, above procedure further includes the instruction for executing following steps:
Obtain the exercise data that the wearable device is acquired in preset time period；
In terms of the average rate travel for obtaining the wearer, above procedure includes for executing following steps
Instruction:
Segment processing is carried out to the exercise data, obtains multiple segment movement data；
It determines the corresponding energy value of each segment movement data in the multiple segment movement data, obtains multiple energy
Value；
The target energy value for being greater than preset energy value is chosen from the multiple energy value, obtains at least one target energy
Value；
The average shifting of the wearer is determined according to the corresponding segment movement data of at least one target energy value
Dynamic rate.
Fig. 4 is the functional unit composition block diagram of fire-fighting involved in the embodiment of the present application and deliverance apparatus 400.The fire-fighting
And deliverance apparatus 400, it is applied to intelligent helmet, described device 400 includes: that acquiring unit 401, analytical unit 402 and prompt are single
Member 403, wherein
Acquiring unit 401, for obtaining the environmental parameter at scene；
Analytical unit 402, the wearer for wearing the intelligent helmet by the ambient parameter analysis can be tieed up
The target duration held, and countdown is carried out with the target duration；
Prompt unit 403, for prompting the wearer to withdraw described existing when the countdown is less than preset threshold
?.
As can be seen that the embodiment of the present application described in fire-fighting and rescue apparatus and, obtain scene environmental parameter, pass through
Ambient parameter analysis wears the target duration that is able to maintain that of wearer of intelligent helmet, and in terms of being carried out down by the target duration
When, when countdown is less than preset threshold, prompts user to withdraw scene, so, it is possible to be worn by analyzing environment
The duration that the personnel of wearing can be able to maintain that in the environment prompts wearer, can both guarantee the peace of wearer in turn
Entirely, wearer can also be reminded to improve rescue efficiency.
In a possible example, the physiological characteristic parameter of the wearer is stored in advance in the intelligent helmet；
It is rectangular when the wearer for wearing the intelligent helmet by the ambient parameter analysis is able to maintain that
Face, the analytical unit 402 are specifically used for:
The target physical state grade of the wearer is determined according to the physiological characteristic parameter；
The environmental parameter is analyzed, determines the target danger classes at the scene；
The mapping relations between duration are maintained according to preset danger classes and the limit, determine the target danger classes pair
The first object limit answered maintains duration；
The mapping relations between duration are maintained according to preset physical condition grade and second limit, determine the target body
Corresponding second target limit of body state parameter maintains duration；
Obtain corresponding first weight of danger classes and corresponding second weight of physical condition grade；
Duration, second target limit is maintained to maintain duration, first weight, institute according to the first object limit
It states the second weight to be weighted, obtains the target duration.
In a possible example, the environmental parameter includes: target environment temperature, target smokescope, described
The environmental parameter is analyzed, in terms of the target danger classes for determining the scene, the analytical unit 402 is specifically used
In:
According to the mapping relations between preset temperature and danger classes, corresponding first danger of the environment temperature is determined
Grade；
According to the mapping relations between preset smokescope and danger classes, the smokescope corresponding second is determined
Danger classes；
It, will when the target environment temperature is higher than preset temperature and the target smokescope is greater than default smokescope
High-risk grade in first danger classes and second danger classes is as the target danger classes；
It is less than or equal to the preset temperature in the target environment temperature and the target smokescope is greater than described pre-
If when smokescope, using second danger classes as the target danger classes；
It is higher than the preset temperature in the target environment temperature and the target smokescope is less than or equal to described pre-
If when smokescope, using first danger classes as the target danger classes；
It is less than or equal to the preset temperature in the target environment temperature and the target smokescope is less than or equal to
When the default smokescope, using the low danger classes in first danger classes and second danger classes as described in
Target danger classes.
In a possible example, the acquiring unit 401 also particularly useful for:
The corresponding indoor map in the scene is obtained, and marks current location in the indoor map；
Target outlet is obtained, and is being cooked up between the current location and the target outlet in the indoor map
Navigation routine determines the distance of the navigation routine；
Obtain the average rate travel of the wearer；
Using the ratio between the distance and the average rate travel as the preset threshold.
In a possible example, the acquiring unit 401, also particularly useful for:
Obtain the exercise data that the wearable device is acquired in preset time period；
Segment processing is carried out to the exercise data, obtains multiple segment movement data；
It determines the corresponding energy value of each segment movement data in the multiple segment movement data, obtains multiple energy
Value；
The target energy value for being greater than preset energy value is chosen from the multiple energy value, obtains at least one target energy
Value；
The average shifting of the wearer is determined according to the corresponding segment movement data of at least one target energy value
Dynamic rate.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, the computer program make computer execute any as recorded in above method embodiment
Some or all of method step.
The embodiment of the present application also provides a kind of computer program product, and above-mentioned computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above-mentioned computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either record method step in method embodiment.The computer program product can be a software installation
Packet.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the unit, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also be realized in the form of software program module.
If the integrated unit is realized in the form of software program module and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (read-only memory, ROM), random access memory
The various media that can store program code such as (random access memory, RAM), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
It may include: flash disk, ROM, RAM, disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of fire-fighting and rescue intelligent helmet, which is characterized in that the intelligent helmet includes processor, and with the processing
The sensor of device connection, wherein
The sensor, for obtaining the environmental parameter at scene；
The processor, the mesh that the wearer for wearing the intelligent helmet by the ambient parameter analysis is able to maintain that
Duration is marked, and countdown is carried out with the target duration；And when the countdown is less than preset threshold, prompt the wearer
Member withdraws the scene.
2. intelligent helmet according to claim 1, which is characterized in that the intelligent helmet further includes memory, described to deposit
Reservoir, for storing the physiological characteristic parameter of the wearer；
At the duration that the wearer for wearing the intelligent helmet by the ambient parameter analysis is able to maintain that, the place
Reason implement body is used for:
The target physical state grade of the wearer is determined according to the physiological characteristic parameter；
The environmental parameter is analyzed, determines the target danger classes at the scene；
The mapping relations between duration are maintained according to preset danger classes and the limit, determine that the target danger classes is corresponding
The first object limit maintains duration；
The mapping relations between duration are maintained according to preset physical condition grade and second limit, determine the intended body shape
Corresponding second target limit of state parameter maintains duration；
Obtain corresponding first weight of danger classes and corresponding second weight of physical condition grade；
Duration, second target limit is maintained to maintain duration, first weight, described the according to the first object limit
Two weights are weighted, and obtain the target duration.
3. intelligent helmet according to claim 1 or 2, the environmental parameter includes: that target environment temperature, target smog are dense
Degree, analyzes the environmental parameter described, in terms of the target danger classes for determining the scene, the processing implement body
For:
According to the mapping relations between preset temperature and danger classes, corresponding first danger of the environment temperature etc. is determined
Grade；
According to the mapping relations between preset smokescope and danger classes, corresponding second danger of the smokescope is determined
Grade；
It, will be described when the target environment temperature is higher than preset temperature and the target smokescope is greater than default smokescope
High-risk grade in first danger classes and second danger classes is as the target danger classes；
It is less than or equal to the preset temperature in the target environment temperature and the target smokescope is greater than the default cigarette
When mistiness is spent, using second danger classes as the target danger classes；
It is higher than the preset temperature in the target environment temperature and the target smokescope is less than or equal to the default cigarette
When mistiness is spent, using first danger classes as the target danger classes；
It is less than or equal to the preset temperature in the target environment temperature and the target smokescope is less than or equal to described
When default smokescope, using the low danger classes in first danger classes and second danger classes as the target
Danger classes.
4. intelligent helmet according to claim 1-3, which is characterized in that the processor, also particularly useful for:
The corresponding indoor map in the scene is obtained, and marks current location in the indoor map；
Target outlet is obtained, and is cooking up the navigation between the current location and the target outlet in the indoor map
Route determines the distance of the navigation routine；
Obtain the average rate travel of the wearer；
Using the ratio between the distance and the average rate travel as the preset threshold.
5. intelligent helmet according to claim 1-4, which is characterized in that the intelligent helmet further includes communication mould
Block,
The communication module for establishing communication connection between wearable device, and obtains the wearable device default
The exercise data of period acquisition；
In terms of the average rate travel for obtaining the wearer, the processor is specifically used for:
Segment processing is carried out to the exercise data, obtains multiple segment movement data；
It determines the corresponding energy value of each segment movement data in the multiple segment movement data, obtains multiple energy values；
The target energy value for being greater than preset energy value is chosen from the multiple energy value, obtains at least one target energy value；
The average mobile speed of the wearer is determined according to the corresponding segment movement data of at least one target energy value
Rate.
6. a kind of fire-fighting and rescue mode, which is characterized in that be applied to fire-fighting and rescue intelligent helmet, which comprises
Obtain the environmental parameter at scene；
The target duration being able to maintain that by the wearer that the ambient parameter analysis wears the intelligent helmet, and with the mesh
It marks duration and carries out countdown；
When the countdown is less than preset threshold, the wearer is prompted to withdraw the scene.
7. according to the method described in claim 6, it is characterized in that, the wearer is stored in advance in the intelligent helmet
Physiological characteristic parameter；
The duration that the wearer for wearing the intelligent helmet by the ambient parameter analysis is able to maintain that, comprising:
The target physical state grade of the wearer is determined according to the physiological characteristic parameter；
The environmental parameter is analyzed, determines the target danger classes at the scene；
The mapping relations between duration are maintained according to preset danger classes and the limit, determine that the target danger classes is corresponding
The first object limit maintains duration；
The mapping relations between duration are maintained according to preset physical condition grade and second limit, determine the intended body shape
Corresponding second target limit of state parameter maintains duration；
Obtain corresponding first weight of danger classes and corresponding second weight of physical condition grade；
Duration, second target limit is maintained to maintain duration, first weight, described the according to the first object limit
Two weights are weighted, and obtain the target duration.
8. a kind of fire-fighting and deliverance apparatus, which is characterized in that be applied to fire-fighting and rescue intelligent helmet, described device includes: to obtain
Take unit, analytical unit and prompt unit, wherein
The acquiring unit, for obtaining the environmental parameter at scene；
The analytical unit, what the wearer for wearing the intelligent helmet by the ambient parameter analysis was able to maintain that
Target duration, and countdown is carried out with the target duration；
The prompt unit, for prompting the wearer to withdraw the scene when the countdown is less than preset threshold.
9. a kind of intelligent helmet, which is characterized in that including processor, memory, communication interface, and one or more programs,
One or more of programs are stored in the memory, and are configured to be executed by the processor, described program packet
It includes for executing the instruction such as the step in the described in any item methods of claim 6-7.
10. a kind of computer readable storage medium, which is characterized in that storage is used for the computer program of electronic data interchange,
In, the computer program makes computer execute such as the described in any item methods of claim 6-7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811456562.1A CN109710105A (en) | 2018-11-30 | 2018-11-30 | Intelligent helmet, fire-fighting and rescue method and Related product |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811456562.1A CN109710105A (en) | 2018-11-30 | 2018-11-30 | Intelligent helmet, fire-fighting and rescue method and Related product |
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| CN201811456562.1A Pending CN109710105A (en) | 2018-11-30 | 2018-11-30 | Intelligent helmet, fire-fighting and rescue method and Related product |
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| CN112288601A (en) * | 2020-11-05 | 2021-01-29 | 深圳市天彦通信股份有限公司 | Scenic spot management method, scenic spot management device and storage medium |
| CN112493605A (en) * | 2020-11-18 | 2021-03-16 | 西安理工大学 | Intelligent fire fighting helmet for planning path |
| CN112507948A (en) * | 2020-12-18 | 2021-03-16 | Oppo广东移动通信有限公司 | Mask wearing prompting method and related device |
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