CN108510718A - Alarm method, device, terminal device based on big data and readable storage medium storing program for executing - Google Patents
Alarm method, device, terminal device based on big data and readable storage medium storing program for executing Download PDFInfo
- Publication number
- CN108510718A CN108510718A CN201810528344.8A CN201810528344A CN108510718A CN 108510718 A CN108510718 A CN 108510718A CN 201810528344 A CN201810528344 A CN 201810528344A CN 108510718 A CN108510718 A CN 108510718A
- Authority
- CN
- China
- Prior art keywords
- warning level
- warning
- location information
- accident
- big data
- 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.)
- Withdrawn
Links
Classifications
-
- 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
- G08B25/006—Alarm destination chosen according to type of event, e.g. in case of fire phone the fire service, in case of medical emergency phone the ambulance
Landscapes
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a kind of alarm method, device, terminal device and readable storage medium storing program for executing based on big data.Alarm method provided by the invention based on big data, it can be when accident occurs for user, it is alarmed automatically according to the different situations at scene by user terminal, so as to so that salvor rushes to the scene of the accident in time according to warning message, the wounded is given treatment in time, the effective guarantee life security of the wounded, and treatment mechanism can be made to make the scene of the accident and further handled, exclude property loss caused by security risk reduction accident.
Description
Technical field
The present invention relates to alarm monitoring technical field more particularly to a kind of alarm method based on big data, device, terminals
Equipment and readable storage medium storing program for executing.
Background technology
With the development of science and technology, various smart machines become more and more popular in daily life, work.
Currently, in order to meet the use demand of user, the function that various smart machines are supported is even more multifarious, such as
The portable smart machine of user, as being implanted into alert program, the advance various salvage services of typing in mobile phone or wearable device
Phone, when user meets an automobile accident, fire etc. is unexpected, the solution function key directly pressed on mobile phone can alarm, from
And realize Rapid Alarm, it is user-friendly.
But the above-mentioned operation alarmed using smart machines such as mobile phones, it is still desirable to which user completes, although only needing
One key operation can be realized, but if user is encountering above-mentioned danger, may at all can not be into when being subjected to grievous injury
Row alarm operation, this results in salvage service that can not know place where the accident occurred point in time, and can not also know the serious of accident
Property, to go to succour before suitable salvor can not be arranged in time, it can undoubtedly delay the relief of the wounded in this way, or even threaten
Its life security.
Therefore it provides one kind can automatically be alarmed in the case where user can not alarm by terminal device, from
And can inform the scheme of the current source position of salvage service user in time is particularly important.
The above is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that the above is existing skill
Art.
Invention content
The alarm method that the main purpose of the present invention is to provide a kind of based on big data, device, terminal device and readable
Storage medium, it is intended to which solving terminal device in the prior art can not determine whether user faces a danger, and encounter danger in user
The technical issues of can not carrying out alarm operation when dangerous automatically.
To achieve the above object, the present invention provides a kind of alarm method based on big data, the method includes following
Step：
User terminal obtains different type early-warning parameters and is more than corresponding preset value in any different type early-warning parameters
When, trigger that internal camera unit is shot, positioning unit is positioned, the physiology of physiology monitor unit acquisition user becomes
Change, the early-warning parameters include following one or its arbitrary combination：Temperature parameter, acceleration parameter, hits alarm at pressure parameter
Duration parameters；
According to the accident detection model to prestore, each frame in the image of camera unit shooting is detected, determines thing
Therefore type and the first warning level, the accident detection model is based on convolutional neural networks algorithm to storing in big data set
The image data of each accident pattern carries out convolutional neural networks training and obtains, and the accident pattern includes following one or it is arbitrary
Combination：Fire class hits class, water logging class；
According to the physiological characteristic detection model to prestore, to the physiological change data of the collected user of physiology monitor unit into
Row detection determines that the second warning level, the physiology sign detection module are based on nonlinear analysis method in big data set
The physiological characteristic data analysis of storage obtains；
It is determined according to the accident pattern, first warning level, second warning level and the positioning unit
Location information, generate corresponding warning message and alarm.
Preferably, described according to the accident pattern, first warning level, second warning level and described fixed
The location information that bit location determines generates corresponding warning message and alarms, and specifically includes：
It is determined according to the accident pattern, first warning level, second warning level and the positioning unit
Location information, generate corresponding warning message；
The relief for needing to seek help is determined according to the accident pattern, first warning level and second warning level
Mechanism；
The warning message is sent to and believes apart from the positioning by the nearest salvage service of location information described in detection range
Cease nearest salvage service.
Preferably, described according to the accident pattern, first warning level, second warning level and described fixed
The location information that bit location determines, generates corresponding warning message, specifically includes：
The physiological health information of the advance typing of user is obtained, the physiological health information includes history disease, the mistake of user
Sensitizing drug, so that the salvage service can send corresponding salvor according to the physiological health information of user；
It is determined according to the accident pattern, first warning level, second warning level, the positioning unit
Location information and the physiological health information of advance typing, generate corresponding warning message.
Preferably, described according to the accident pattern, first warning level, second warning level and described fixed
The location information that bit location determines, before generating corresponding warning message, the method further includes：
The location information is modified.
Preferably, described that the location information is modified, it specifically includes：
The nearest differential position base station of location information described in detection range；
The differential position base station corresponding target difference value nearest apart from the location information is obtained, according to the goal discrepancy
Score value is modified the location information.
Preferably, described according to the accident pattern, first warning level, second warning level and described fixed
The location information that bit location determines generates before corresponding warning message alarmed, and the method further includes：
According to first warning level and second warning level, ultimate warning level is determined；
Correspondingly, described according to the accident pattern, first warning level, second warning level and described fixed
The location information that bit location determines, generates corresponding warning message and alarms, specifically include：
According to the location information that the accident pattern, the ultimate warning level and the positioning unit determine, generation pair
The warning message answered；
The salvage service for needing to seek help is determined according to the accident pattern and the ultimate warning level, and need to send
Salvor's quantity；
The nearest salvage service of location information described in detection range by the warning message and needs the salvor sent
Quantity is sent to the salvage service nearest apart from the location information.
Preferably, salvor's quantity that the warning message and needs are sent is sent to believes apart from the positioning
After ceasing nearest salvage service, the method further includes：
The warning message is sent to preset emergency contact.
In addition, to achieve the above object, the present invention also provides a kind of warning device based on big data, described device packets
It includes：
Acquisition module, for obtaining different type early-warning parameters and being more than in any different type early-warning parameters corresponding pre-
If when value, triggering that internal camera unit is shot, positioning unit is positioned, the physiology of physiology monitor unit acquisition user
Variation；
First processing module, for the accident detection model that basis prestores, to each in the image of camera unit shooting
Frame is detected, and determines that accident pattern and the first warning level, the accident detection model are based on convolutional neural networks algorithm pair
The image data of each accident pattern stored in big data set carries out convolutional neural networks training and obtains；
Second processing module, for the physiological characteristic detection model that basis prestores, to the collected use of physiology monitor unit
The physiological change data at family are detected, and determine that the second warning level, the physiology sign detection module are based on nonlinear analysis
Method is analyzed the physiological characteristic data stored in big data set and is obtained；
Alarm module, for according to the accident pattern, first warning level, second warning level and described
The location information that positioning unit determines, determines that corresponding alarm strategy is alarmed.
In addition, to achieve the above object, the present invention also provides a kind of terminal device, the terminal device includes：Storage
Device, processor and it is stored in the alert program based on big data that can be run on the memory and on the processor,
The alert program based on big data is arranged for carrying out the step of alarm method based on big data.
In addition, to achieve the above object, the present invention also provides a kind of readable storage medium storing program for executing, the readable storage medium storing program for executing is
Computer readable storage medium is stored with the alert program based on big data, the base on the computer readable storage medium
The step of alarm method based on big data is realized when the alert program of big data is executed by processor.
The present invention obtains different types of early-warning parameters automatically by the way that user terminal is arranged, and pre- in any different type
When alert parameter is more than corresponding preset value, trigger that internal camera unit is shot, positioning unit is positioned, physiology monitor
Unit acquires the physiological change of user, then according to the accident detection model to prestore, to every in the image of camera unit shooting
One frame is detected, and determines accident pattern and the first warning level, according to the physiological characteristic detection model to prestore, to physiology monitor
The physiological change data of the collected user of unit are detected, and determine the second warning level, finally according to the accident pattern,
The location information that first warning level, second warning level and the positioning unit determine, generates corresponding alarm
Information is alarmed.By the above-mentioned means, can when accident occurs for user, by user terminal according to scene different situations from
It is dynamic to alarm, so as to so that salvor rushes to the scene of the accident in time according to warning message, in time to the wounded progress
Treatment, the effective guarantee life security of the wounded and can make the treatment mechanism make the scene of the accident to be further located in
Reason excludes property loss caused by security risk reduction accident.
Description of the drawings
Fig. 1 is the structural schematic diagram of the terminal device for the hardware running environment that the embodiment of the present invention is related to；
Fig. 2 is that the present invention is based on the flow diagrams of the alarm method first embodiment of big data；
Fig. 3 is that the present invention is based on the flow diagrams of the alarm method second embodiment of big data；
Fig. 4 is that the present invention is based on the high-level schematic functional block diagrams of the warning device of big data.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific implementation mode
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Referring to Fig.1, Fig. 1 is the structural representation of the terminal device for the hardware running environment that the embodiment of the present invention is related to
Figure.
The terminal device can be smart mobile phone, tablet computer, the wearable smart machine etc. that user uses, herein no longer
It enumerates, is also not particularly limited.
For the ease of understanding the specific works of the terminal device, it is specifically described below in conjunction with Fig. 1.
As shown in Figure 1, the terminal device may include：Processor 1001, such as central processing unit (Central
Processing Unit, CPU), communication bus 1002, user interface 1003, network interface 1004, memory 1005.Wherein,
Communication bus 1002 is for realizing the connection communication between these components.User interface 1003 may include tangible display screen,
Mechanical key etc., optionally, user interface 1003 can also include standard wireline interface and wireless interface.Network interface 1004
Optional may include that (such as Wireless Fidelity (WIreless-FIdelity, WI-FI) connects standard wireline interface and wireless interface
Mouth, blue tooth interface etc.).Memory 1005 can be high-speed RAM memory, can also be stable memory (non-
Volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processor 1001
Storage device.
It will be understood by those skilled in the art that structure shown in Fig. 1 does not constitute the restriction to terminal device, can wrap
It includes than illustrating more or fewer components, either combines certain components or different components arrangement.
Therefore, as shown in Figure 1, as may include in a kind of memory 1005 of computer storage media operating system,
Network communication module, Subscriber Interface Module SIM and the alert program based on big data.
In terminal device shown in Fig. 1, network interface 1004 is mainly with establishing terminal device and each alarm platform and in advance
If emergency contact user terminal communication connection；User interface 1003 is mainly used for receiving the input instruction of user；Institute
It states terminal device and the alert program based on big data stored in memory 1005 is called by processor 1001, and execute following
Operation：
User terminal obtains different type early-warning parameters and is more than corresponding preset value in any different type early-warning parameters
When, trigger that internal camera unit is shot, positioning unit is positioned, the physiology of physiology monitor unit acquisition user becomes
Change, the early-warning parameters include following one or its arbitrary combination：Temperature parameter, acceleration parameter, hits alarm at pressure parameter
Duration parameters；
According to the accident detection model to prestore, each frame in the image of camera unit shooting is detected, determines thing
Therefore type and the first warning level, the accident detection model is based on convolutional neural networks algorithm to storing in big data set
The image data of each accident pattern carries out convolutional neural networks training and obtains, and the accident pattern includes following one or it is arbitrary
Combination：Fire class hits class, water logging class；
According to the physiological characteristic detection model to prestore, to the physiological change data of the collected user of physiology monitor unit into
Row detection determines that the second warning level, the physiology sign detection module are based on nonlinear analysis method in big data set
The physiological characteristic data analysis of storage obtains；
It is determined according to the accident pattern, first warning level, second warning level and the positioning unit
Location information, generate corresponding warning message and alarm.
Further, processor 1001 can call the alert program based on big data stored in memory 1005, also
Execute following operation：
It is determined according to the accident pattern, first warning level, second warning level and the positioning unit
Location information, generate corresponding warning message；
The relief for needing to seek help is determined according to the accident pattern, first warning level and second warning level
Mechanism；
The warning message is sent to and believes apart from the positioning by the nearest salvage service of location information described in detection range
Cease nearest salvage service.
Further, processor 1001 can call the alert program based on big data stored in memory 1005, also
Execute following operation：
The physiological health information of the advance typing of user is obtained, the physiological health information includes history disease, the mistake of user
Sensitizing drug, so that the salvage service can send corresponding salvor according to the physiological health information of user；
It is determined according to the accident pattern, first warning level, second warning level, the positioning unit
Location information and the physiological health information of advance typing, generate corresponding warning message.
Further, processor 1001 can call the alert program based on big data stored in memory 1005, also
Execute following operation：
The location information is modified.
Further, processor 1001 can call the alert program based on big data stored in memory 1005, also
Execute following operation：
The nearest differential position base station of location information described in detection range；
The differential position base station corresponding target difference value nearest apart from the location information is obtained, according to the goal discrepancy
Score value is modified the location information.
Further, processor 1001 can call the alert program based on big data stored in memory 1005, also
Execute following operation：
According to first warning level and second warning level, ultimate warning level is determined；
Correspondingly, described according to the accident pattern, first warning level, second warning level and described fixed
The location information that bit location determines, generates corresponding warning message and alarms, specifically include：
According to the location information that the accident pattern, the ultimate warning level and the positioning unit determine, generation pair
The warning message answered；
The salvage service for needing to seek help is determined according to the accident pattern and the ultimate warning level, and need to send
Salvor's quantity；
The nearest salvage service of location information described in detection range by the warning message and needs the salvor sent
Quantity is sent to the salvage service nearest apart from the location information.
Further, processor 1001 can call the alert program based on big data stored in memory 1005, also
Execute following operation：
The warning message is sent to preset emergency contact.
This implementation through the above scheme, different types of early-warning parameters is obtained by the way that user terminal is arranged automatically, and
When any different type early-warning parameters are more than corresponding preset value, trigger internal camera unit shot, positioning unit into
Row positioning, physiology monitor unit acquire the physiological change of user, then according to the accident detection model to prestore, clap camera unit
Each frame in the image taken the photograph is detected, and determines accident pattern and the first warning level, is detected according to the physiological characteristic to prestore
Model is detected the physiological change data of the collected user of physiology monitor unit, determines the second warning level, final root
According to the accident pattern, first warning level, second warning level and the positioning unit determine location information,
Corresponding warning message is generated to alarm.By the above-mentioned means, can be when accident occurs for user, by user terminal according to existing
Different situations alarm automatically, so as to so that salvor rushes to the scene of the accident in time according to warning message, to by
The person of hurting sb.'s feelings is given treatment in time, the effective guarantee life security of the wounded and so that the treatment mechanism is done the scene of the accident
Go out and further handle, excludes property loss caused by security risk reduction accident.
Based on above-mentioned hardware configuration, propose that the present invention is based on the alarm method embodiments of big data.
It is that the present invention is based on the flow diagrams of the alarm method first embodiment of big data with reference to Fig. 2, Fig. 2.
In the first embodiment, the alarm method based on big data includes the following steps：
S10：User terminal obtains different type early-warning parameters and is more than in any different type early-warning parameters corresponding pre-
If when value, triggering that internal camera unit is shot, positioning unit is positioned, the physiology of physiology monitor unit acquisition user
Variation.
Specifically, early-warning parameters described in the present embodiment can specifically include following one or its arbitrary combination：Temperature
It spends parameter, pressure parameter, acceleration parameter, hit alarm duration parameters.
It should be understood that user terminal is obtained when obtaining above-mentioned early-warning parameters particular by corresponding sensor
It takes, for example utilizes temperature sensors for obtaining temperature parameter, obtain pressure parameter using pressure sensor, utilize acceleration
Sensing, gravity accelerometer etc. obtain acceleration parameter, hit police using collision sensing sensor and counter to obtain
Report duration parameters.
It should be noted that these are only for example, not constituting any restriction to technical scheme of the present invention, having
In body application, those skilled in the art can be configured as needed, and the present invention is without limitation.
S20：According to the accident detection model to prestore, each frame in the image of camera unit shooting is detected, really
Determine accident pattern and the first warning level.
Specifically, accident detection model described in the present embodiment is specifically based on convolutional neural networks algorithm to counting greatly
Convolutional neural networks training is carried out according to the image data of each accident pattern stored in set to obtain.
In addition, accident pattern described in the present embodiment can be specifically fire class, hit class (such as vehicle collision), water logging
Class, thus the image data of all kinds of accident patterns stored in big data set is specially fire class image data, hits class figure
As data, water logging class image data etc..
It should be noted that these are only for example, any restriction is not constituted to technical scheme of the present invention, specific
In, those skilled in the art can expand the picture number of each accident pattern stored in big data set as needed
According to the present invention is without limitation.
S30：According to the physiological characteristic detection model to prestore, to the physiological change number of the collected user of physiology monitor unit
According to being detected, the second warning level is determined.
Specifically, physiology sign detection module described in the present embodiment is specifically based on nonlinear analysis method to big
The physiological characteristic data analysis stored in data acquisition system obtains.
However, it should be understood that the physiological characteristic data stored in big data set in the present embodiment can be different
Heartbeat speed of the user under different time sections its normal conditions, bodily injury evil state of gender, different age group, different weight
Degree, blood pressure, the hormone value in body.
It should be noted that these are only for example, any restriction is not constituted to technical scheme of the present invention, specific
In, those skilled in the art can expand the physiological characteristic data stored in big data set as needed, the present invention
It is without limitation.
S40：According to the accident pattern, first warning level, second warning level and the positioning unit
Determining location information generates corresponding warning message and alarms.
It should be noted that being mainly used for indicating currently by the first warning level that step S20 is determined in the present embodiment
The seriousness of accident is mainly used for indicating the injured degree of user by the second warning level that step S30 is determined.
About the division of the first warning level and the second warning level, those skilled in the art can be according to actual needs
It is divided, is not limited herein.
For the ease of understanding in step S40 according to the accident pattern, first warning level, the second early warning grade
The location information not determined with the positioning unit, generates the operation that corresponding warning message is alarmed, and carries out below specific
Explanation.
For example, first single according to the accident pattern, first warning level, second warning level and the positioning
The location information that member determines, generates corresponding warning message；
Then, it is determined according to the accident pattern, first warning level and second warning level and needs to seek help
Salvage service.
Finally, the warning message is sent to described in distance by the nearest salvage service of location information described in detection range
The nearest salvage service of location information.
It should be noted that above-mentioned described salvage service can be specifically police agency, fire department, medical institutions
Deng specifically will not enumerate, be not also limited herein.
Further, in order to be supplied to more information to salvage service, facilitate salvage service send suitable salvor,
It carries the drug that the wounded can use and goes to accident spot, according to the accident pattern, first warning level, institute
The location information for stating the second warning level and positioning unit determination, when generating corresponding warning message, can also obtain
Take the physiological health information of the advance typing in family, the physiological health information includes the history disease of user, allergic drug, so that
The salvage service can send corresponding salvor according to the physiological health information of user, then according to the accident class
Type, first warning level, second warning level, the location information that the positioning unit determines and the institute of advance typing
Physiological health information is stated, corresponding warning message is generated.
In addition, in order to enable salvage service to send appropriate number of salvor, the relief for going to accident spot is avoided
Personnel are very few, delay the relief to the wounded, or excessive, lead to the waste of manpower and materials, according to the accident pattern,
The location information that first warning level, second warning level and the positioning unit determine, generates corresponding alarm
Before information is alarmed, ultimate early warning grade can be determined first according to first warning level and second warning level
Not.
Specifically, ultimate warning level described herein is particular by the first warning level and the second warning level
Urgency level, developing state be determined, specific create-rule, those skilled in the art can as needed rationally
Setting, is not limited herein.
According to first warning level and second warning level, after determining ultimate warning level, according to institute
The location information that accident pattern, first warning level, second warning level and the positioning unit determine is stated, is generated
Corresponding warning message alarm and is specifically changed to：It is single according to the accident pattern, the ultimate warning level and the positioning
The location information that member determines, generates corresponding warning message；Need are determined according to the accident pattern and the ultimate warning level
The salvage service to be sought help, and need the salvor's quantity sent；The nearest salvage service of location information described in detection range,
By the warning message and the salvor's quantity sent is needed to be sent to the salvage service nearest apart from the location information.
It should be noted that being given above only a kind of concrete implementation mode, simultaneously to technical scheme of the present invention
Do not constitute any restriction, in a particular application, those skilled in the art can be configured as needed, the present invention to this not
It is limited.
In addition, in the concrete realization, distance is sent in the salvor's quantity for sending the warning message and needs
After the nearest salvage service of the location information, the warning message can also be sent to preset emergency contact, from
And the family members of the wounded is enable to rush for the scene of the accident in time.
Further, the salvage service of notice can also be sent to emergency contact, so as to so that family members can be straight
It connects and rushes for salvage service.
By foregoing description it is not difficult to find that the alarm method based on big data provided in the present embodiment, is used by being arranged
Family terminal is more than corresponding preset value to obtain different types of early-warning parameters automatically in any different type early-warning parameters
When, trigger that internal camera unit is shot, positioning unit is positioned, the physiology of physiology monitor unit acquisition user becomes
Change, then according to the accident detection model to prestore, each frame in the image of camera unit shooting is detected, determines accident
Type and the first warning level, according to the physiological characteristic detection model to prestore, the life to the collected user of physiology monitor unit
Reason delta data is detected, and the second warning level is determined, finally according to the accident pattern, first warning level, institute
The location information for stating the second warning level and positioning unit determination, generates corresponding warning message and alarms.By upper
Mode is stated, can automatically be alarmed according to the different situations at scene by user terminal when accident occurs for user, so as to
So that salvor is rushed to the scene of the accident in time according to warning message, the wounded is given treatment in time, effective guarantee injury
The life security of personnel and treatment mechanism can be made to make the scene of the accident further handle, exclude security risk and reduce thing
Property loss caused by therefore.
Further, as shown in figure 3, proposing that the present invention is based on the second of the alarm method of big data based on first embodiment
Embodiment, in the present embodiment, according to the accident pattern, first warning level, second warning level and institute
The location information for stating positioning unit determination, before generating corresponding warning message, needs to be modified the location information, in detail
See the step S00 in Fig. 3.
In S00：The location information is modified.
Such as by the nearest differential position base station of location information described in detection range, then obtain apart from described fixed
The nearest corresponding target difference value in differential position base station of position information, finally according to the target difference value to the location information
It is modified.
It should be noted that in the concrete realization, differential position base station can be already existing Differential positioning in city
Base station, can also be using street lamp as differential position base station.
Specifically, using street lamp as when differential position base station, it can be realized by following operation and the positioning is believed
The amendment of breath：
First, user terminal acquisition passes through the built-in collected coarse localization information of satellite positioning module.
Then, it is determined that the street lamp nearest apart from the coarse localization information, and using determining street lamp as benchmark street lamp.
Finally, the corresponding target difference value of the benchmark street lamp is searched, according to the target difference value to described rough fixed
Position information is modified, and obtains precise positioning information, you can completion modifies to the location information.
It should be noted that these are only for example, not constituting any restriction to technical scheme of the present invention, having
In body application, those skilled in the art can be configured as needed, and the present invention is without limitation.
By foregoing description it is not difficult to find that the alarm method provided in this embodiment based on big data, according to the thing
Therefore the location information that type, first warning level, second warning level and the positioning unit determine, it generates and corresponds to
Warning message before, by being modified to the location information so that the location information for being sent to salvage service is more accurate
Really, to salvor can be much sooner rush to place where the accident occurred point, succoured the wounded and excluded accident
The security risk at scene.
In addition, the embodiment of the present invention also proposes a kind of warning device based on big data.As shown in figure 4, should be based on big number
According to warning device include：Acquisition module 4001, first processing module 4002, Second processing module 4003 and alarm module
4004。
Wherein, acquisition module 4001, for obtain different type early-warning parameters and in any different type early-warning parameters it is big
When corresponding preset value, trigger that internal camera unit is shot, positioning unit is positioned, the acquisition of physiology monitor unit
The physiological change of user.First processing module 4002, for the accident detection model that basis prestores, to the figure of camera unit shooting
Each frame as in is detected, and determines accident pattern and the first warning level.Second processing module 4003 prestores for basis
Physiological characteristic detection model, the physiological change data of the collected user of physiology monitor unit are detected, determine second
Warning level.Alarm module 4004, for according to the accident pattern, first warning level, second warning level
The location information determined with the positioning unit, determines that corresponding alarm strategy is alarmed.
It should be noted that accident detection model described in the present embodiment is specifically to be based on convolutional neural networks algorithm pair
The image data of each accident pattern stored in big data set carries out convolutional neural networks training and obtains.
Specifically, accident pattern described herein can be specifically fire class, hit class (such as vehicle collision), water logging
Class, thus the image data of all kinds of accident patterns stored in big data set is specially fire class image data, hits class figure
As data, water logging class image data etc..
In addition, physiology sign detection module described in the present embodiment is specifically to be based on nonlinear analysis method to big data
The physiological characteristic data analysis stored in set obtains.
Specifically, the physiological characteristic data stored in big data set can be different sexes, different age group, difference
Heart rates of the user of weight under different time sections its normal conditions, bodily injury evil state, blood pressure, the hormone in body
Value.
It should be understood that these are only for example, not constituting any restriction to technical scheme of the present invention, having
In body application, those skilled in the art can expand the picture number of each accident pattern stored in big data set as needed
According to and user physiological characteristic data, the present invention it is without limitation.
By foregoing description it is not difficult to find that the warning device based on big data provided in the present embodiment, is used by being arranged
Family terminal is more than corresponding preset value to obtain different types of early-warning parameters automatically in any different type early-warning parameters
When, trigger that internal camera unit is shot, positioning unit is positioned, the physiology of physiology monitor unit acquisition user becomes
Change, then according to the accident detection model to prestore, each frame in the image of camera unit shooting is detected, determines accident
Type and the first warning level, according to the physiological characteristic detection model to prestore, the life to the collected user of physiology monitor unit
Reason delta data is detected, and the second warning level is determined, finally according to the accident pattern, first warning level, institute
The location information for stating the second warning level and positioning unit determination, generates corresponding warning message and alarms.By upper
Mode is stated, can automatically be alarmed according to the different situations at scene by user terminal when accident occurs for user, so as to
So that salvor is rushed to the scene of the accident in time according to warning message, the wounded is given treatment in time, effective guarantee injury
The life security of personnel and treatment mechanism can be made to make the scene of the accident further handle, exclude security risk and reduce thing
Property loss caused by therefore.
It should be noted that workflow described above is only schematical, not to the protection model of the present invention
Enclose composition limit, in practical applications, those skilled in the art can select according to the actual needs part therein or
It all achieves the purpose of the solution of this embodiment, is not herein limited.
In addition, the not technical detail of detailed description in the present embodiment, reference can be made to what any embodiment of the present invention was provided
Alarm method based on big data, details are not described herein again.
In addition, the embodiment of the present invention also proposes that a kind of readable storage medium storing program for executing, the readable storage medium storing program for executing are computer-readable
Storage medium, be stored with the alert program based on big data on the computer readable storage medium, described based on big data
Following operation is realized when alert program is executed by processor：
User terminal obtains different type early-warning parameters and is more than corresponding preset value in any different type early-warning parameters
When, trigger that internal camera unit is shot, positioning unit is positioned, the physiology of physiology monitor unit acquisition user becomes
Change, the early-warning parameters include following one or its arbitrary combination：Temperature parameter, acceleration parameter, hits alarm at pressure parameter
Duration parameters；
According to the accident detection model to prestore, each frame in the image of camera unit shooting is detected, determines thing
Therefore type and the first warning level, the accident detection model is based on convolutional neural networks algorithm to storing in big data set
The image data of each accident pattern carries out convolutional neural networks training and obtains, and the accident pattern includes following one or it is arbitrary
Combination：Fire class hits class, water logging class；
According to the physiological characteristic detection model to prestore, to the physiological change data of the collected user of physiology monitor unit into
Row detection determines that the second warning level, the physiology sign detection module are based on nonlinear analysis method in big data set
The physiological characteristic data analysis of storage obtains；
It is determined according to the accident pattern, first warning level, second warning level and the positioning unit
Location information, generate corresponding warning message and alarm.
Further, following operation is also realized when the alert program based on big data is executed by processor：
It is determined according to the accident pattern, first warning level, second warning level and the positioning unit
Location information, generate corresponding warning message；
The relief for needing to seek help is determined according to the accident pattern, first warning level and second warning level
Mechanism；
The warning message is sent to and believes apart from the positioning by the nearest salvage service of location information described in detection range
Cease nearest salvage service.
Further, following operation is also realized when the alert program based on big data is executed by processor：
The physiological health information of the advance typing of user is obtained, the physiological health information includes history disease, the mistake of user
Sensitizing drug, so that the salvage service can send corresponding salvor according to the physiological health information of user；
It is determined according to the accident pattern, first warning level, second warning level, the positioning unit
Location information and the physiological health information of advance typing, generate corresponding warning message.
Further, following operation is also realized when the alert program based on big data is executed by processor：
The location information is modified.
Further, following operation is also realized when the alert program based on big data is executed by processor：
The nearest differential position base station of location information described in detection range；
The differential position base station corresponding target difference value nearest apart from the location information is obtained, according to the goal discrepancy
Score value is modified the location information.
Further, following operation is also realized when the alert program based on big data is executed by processor：
According to first warning level and second warning level, ultimate warning level is determined；
Correspondingly, described according to the accident pattern, first warning level, second warning level and described fixed
The location information that bit location determines, generates corresponding warning message and alarms, specifically include：
According to the location information that the accident pattern, the ultimate warning level and the positioning unit determine, generation pair
The warning message answered；
The salvage service for needing to seek help is determined according to the accident pattern and the ultimate warning level, and need to send
Salvor's quantity；
The nearest salvage service of location information described in detection range by the warning message and needs the salvor sent
Quantity is sent to the salvage service nearest apart from the location information.
Further, following operation is also realized when the alert program based on big data is executed by processor：
The warning message is sent to preset emergency contact.
It should be noted that herein, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that process, method, article or system including a series of elements include not only those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including this
There is also other identical elements in the process of element, method, article or system.
The embodiments of the present invention are for illustration only, can not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical scheme of the present invention substantially in other words does the prior art
Going out the part of contribution can be expressed in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions use so that a station terminal equipment (can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of alarm method based on big data, which is characterized in that the described method comprises the following steps：
User terminal obtains different type early-warning parameters and when any different type early-warning parameters is more than corresponding preset value, touches
Camera unit inside hair is shot, positioning unit is positioned, the physiological change of physiology monitor unit acquisition user, described
Early-warning parameters include following one or its arbitrary combination：Temperature parameter, acceleration parameter, hits alarm duration ginseng at pressure parameter
Number；
According to the accident detection model to prestore, each frame in the image of camera unit shooting is detected, determines accident class
Type and the first warning level, the accident detection model is based on convolutional neural networks algorithm to each thing for being stored in big data set
Therefore the image data of type carries out convolutional neural networks training and obtains, the accident pattern includes following one or its arbitrary group
It closes：Fire class hits class, water logging class；
According to the physiological characteristic detection model to prestore, the physiological change data of the collected user of physiology monitor unit are examined
It surveys, determines that the second warning level, the physiology sign detection module are based on nonlinear analysis method to being stored in big data set
Physiological characteristic data analysis obtain；
Determined according to what the accident pattern, first warning level, second warning level and the positioning unit determined
Position information, generates corresponding warning message and alarms.
2. the method as described in claim 1, which is characterized in that it is described according to the accident pattern, first warning level,
The location information that second warning level and the positioning unit determine generates corresponding warning message and alarms, specific to wrap
It includes：
Determined according to what the accident pattern, first warning level, second warning level and the positioning unit determined
Position information, generates corresponding warning message；
The relief machine for needing to seek help is determined according to the accident pattern, first warning level and second warning level
Structure；
The nearest salvage service of location information described in detection range, the warning message is sent to apart from the location information most
Close salvage service.
3. method as claimed in claim 2, which is characterized in that it is described according to the accident pattern, first warning level,
The location information that second warning level and the positioning unit determine, generates corresponding warning message, specifically includes：
The physiological health information of the advance typing of user is obtained, the physiological health information includes the history disease of user, allergic medicine
Object, so that the salvage service can send corresponding salvor according to the physiological health information of user；
The positioning determined according to the accident pattern, first warning level, second warning level, the positioning unit
Information and the physiological health information of advance typing, generate corresponding warning message.
4. method as described in any one of claims 1 to 3, which is characterized in that described according to the accident pattern, described first
The location information that warning level, second warning level and the positioning unit determine, before generating corresponding warning message,
The method further includes：
The location information is modified.
5. method as claimed in claim 4, which is characterized in that it is described that the location information is modified, it specifically includes：
The nearest differential position base station of location information described in detection range；
The differential position base station corresponding target difference value nearest apart from the location information is obtained, according to the target difference value
The location information is modified.
6. method as described in any one of claims 1 to 3, which is characterized in that described according to the accident pattern, described first
The location information that warning level, second warning level and the positioning unit determine generates corresponding warning message and carries out
Before alarm, the method further includes：
According to first warning level and second warning level, ultimate warning level is determined；
Correspondingly, described single according to the accident pattern, first warning level, second warning level and the positioning
The location information that member determines, generates corresponding warning message and alarms, specifically include：
According to the location information that the accident pattern, the ultimate warning level and the positioning unit determine, generate corresponding
Warning message；
The salvage service for needing to seek help is determined according to the accident pattern and the ultimate warning level, and needs the relief sent
Personnel amount；
The nearest salvage service of location information described in detection range by the warning message and needs the salvor's quantity sent
It is sent to the salvage service nearest apart from the location information.
7. method as claimed in claim 6, which is characterized in that the salvor for sending the warning message and needs
Quantity is sent to after the salvage service nearest apart from the location information, and the method further includes：
The warning message is sent to preset emergency contact.
8. a kind of warning device based on big data, which is characterized in that described device includes：
Acquisition module, for obtaining different type early-warning parameters and being more than corresponding preset value in any different type early-warning parameters
When, trigger that internal camera unit is shot, positioning unit is positioned, the physiology of physiology monitor unit acquisition user becomes
Change；
First processing module, for according to the accident detection model that prestores, to each frame in the image of camera unit shooting into
Row detection determines that accident pattern and the first warning level, the accident detection model are based on convolutional neural networks algorithm to counting greatly
Convolutional neural networks training is carried out according to the image data of each accident pattern stored in set to obtain；
Second processing module, for the physiological characteristic detection model that basis prestores, to the collected user's of physiology monitor unit
Physiological change data are detected, and determine that the second warning level, the physiology sign detection module are based on nonlinear analysis method
The physiological characteristic data stored in big data set is analyzed and is obtained；
Alarm module, for according to the accident pattern, first warning level, second warning level and the positioning
The location information that unit determines, determines that corresponding alarm strategy is alarmed.
9. a kind of terminal device, which is characterized in that the terminal device includes：Memory, processor and it is stored in described deposit
On reservoir and the alert program based on big data that can run on the processor, the alert program based on big data are matched
It is set to the step of realizing alarm method as described in any one of claim 1 to 7 based on big data.
10. a kind of readable storage medium storing program for executing, which is characterized in that the readable storage medium storing program for executing is computer readable storage medium, described
The alert program based on big data is stored on computer readable storage medium, it is described to be handled based on the alert program of big data
Device realizes the step of alarm method as described in any one of claim 1 to 7 based on big data when executing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810528344.8A CN108510718A (en) | 2018-05-28 | 2018-05-28 | Alarm method, device, terminal device based on big data and readable storage medium storing program for executing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810528344.8A CN108510718A (en) | 2018-05-28 | 2018-05-28 | Alarm method, device, terminal device based on big data and readable storage medium storing program for executing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108510718A true CN108510718A (en) | 2018-09-07 |
Family
ID=63401939
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810528344.8A Withdrawn CN108510718A (en) | 2018-05-28 | 2018-05-28 | Alarm method, device, terminal device based on big data and readable storage medium storing program for executing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108510718A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109191357A (en) * | 2018-10-15 | 2019-01-11 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of fire-fighting method for early warning, device and terminal device |
| CN109660419A (en) * | 2018-10-08 | 2019-04-19 | 平安科技（深圳）有限公司 | Predict method, apparatus, equipment and the storage medium of network equipment exception |
| CN112243063A (en) * | 2019-07-18 | 2021-01-19 | 北京奇虎科技有限公司 | Automatic alarm method and device based on mobile terminal and mobile terminal |
| CN112446316A (en) * | 2020-11-20 | 2021-03-05 | 浙江大华技术股份有限公司 | Accident detection method, electronic device, and storage medium |
| CN115512514A (en) * | 2022-08-23 | 2022-12-23 | 广州云硕科技发展有限公司 | Intelligent management method and device for early warning instruction |
-
2018
- 2018-05-28 CN CN201810528344.8A patent/CN108510718A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109660419A (en) * | 2018-10-08 | 2019-04-19 | 平安科技（深圳）有限公司 | Predict method, apparatus, equipment and the storage medium of network equipment exception |
| CN109191357A (en) * | 2018-10-15 | 2019-01-11 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of fire-fighting method for early warning, device and terminal device |
| CN112243063A (en) * | 2019-07-18 | 2021-01-19 | 北京奇虎科技有限公司 | Automatic alarm method and device based on mobile terminal and mobile terminal |
| CN112446316A (en) * | 2020-11-20 | 2021-03-05 | 浙江大华技术股份有限公司 | Accident detection method, electronic device, and storage medium |
| CN115512514A (en) * | 2022-08-23 | 2022-12-23 | 广州云硕科技发展有限公司 | Intelligent management method and device for early warning instruction |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108510718A (en) | Alarm method, device, terminal device based on big data and readable storage medium storing program for executing | |
| US11301809B2 (en) | Care plan administration | |
| US11689653B2 (en) | Systems and methods for automated emergency response | |
| US11978356B2 (en) | Care plan administration: patient feedback | |
| Krichen | Anomalies detection through smartphone sensors: A review | |
| US9295849B2 (en) | Medical equipment messaging | |
| CN108886550B (en) | Picture/video message emergency response system | |
| US20160085937A1 (en) | Care plan administration using thresholds | |
| US20170124852A1 (en) | Personal emergency response system with predictive emergency dispatch risk assessment | |
| US20140297006A1 (en) | System and method for providing physiological feedback and rewards for engaging user and retention of customer | |
| US20210154487A1 (en) | Device based responder network activation and virtual assistant integration | |
| US20180147113A1 (en) | Cardiopulmonary resuscitation coordination method, computer program product and system | |
| CN107665568A (en) | Prediction alarm is provided for Workplace Safety | |
| CN107004056A (en) | Method and system for providing critical care using wearable device | |
| WO2015096567A1 (en) | User behavior safety monitoring method and device | |
| Deepa et al. | IoT-Based Wearable Devices for Personal Safety and Accident Prevention Systems | |
| EP3400549A1 (en) | Processing of portable device data | |
| US20220353662A1 (en) | Low acuity dispatch managmenet | |
| CN111640516A (en) | Method, server and network system for monitoring and early warning health condition by using mobile phone | |
| Mathenge | Artificial intelligence for diabetic retinopathy screening in Africa | |
| CN115148379A (en) | System and method for realizing intelligent health monitoring of solitary old people by utilizing edge calculation | |
| CN107111675A (en) | For the dynamical feedback of wearable device | |
| CN113270196A (en) | System and method for constructing cerebral stroke recurrence risk perception and behavior decision model | |
| CN116704699A (en) | Personal safety alarm rescue system based on block chain | |
| US20220037021A1 (en) | Resource tracking and allocation |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180907 |
|
| WW01 | Invention patent application withdrawn after publication |