CN105739687A - Accident early warning method and system - Google Patents
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- CN105739687A CN105739687A CN201610040158.0A CN201610040158A CN105739687A CN 105739687 A CN105739687 A CN 105739687A CN 201610040158 A CN201610040158 A CN 201610040158A CN 105739687 A CN105739687 A CN 105739687A
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Abstract
The invention is applicable in the technical field of communications, and provides an accident early warning method and system. The method comprises: a wearable device acquires field information in real time, and sends the field information to a first terminal paired with the wearable device; the first terminal generates an accident notification packet, and sends the accident notification packet to a server, wherein the accident notification packet carries the field information and a user identifier of a wearable device user; the server inputs the field information in the accident notification packet to a pre-trained classification model, and calculates and outputs an accident class corresponding to the field information; the server sends the field information and the accident class to a second terminal bound with the user identifier; and the second terminal prompts the accident class and displays the field information. According to the method and the system, intelligent early warning is performed on an accident based on the wearable device, so that comprehensive early warning of an accident can be realized when a user is equipped with the wearable device.
Description
Technical field
The invention belongs to communication technical field, particularly relate to the method and system of unexpected early warning.
Background technology
In recent years, vehicle accident, die suddenly, abduct the thunder boltes such as child and take place frequently, during due to unexpected generation, often fail to find in time and rescue so that the mortality rate caused due to accident is greatly improved, and unexpected occur after responsibility investigation also relative difficulty.
At present, at unexpected warning aspect, prior art is ubiquitous to be had the drawback that, every kind of unexpected early warning product is all that the fortuitous event for single kind carries out early warning design, a kind of fortuitous event can be carried out early warning by every kind of product, it is impossible to realize the comprehensive early warning to thunder bolt by single product.
Summary of the invention
In view of this, embodiments provide the method and system of unexpected early warning, to solve the problem that prior art cannot realize the comprehensive early warning to thunder bolt by single product.
First aspect, it is provided that a kind of method of unexpected early warning, including:
Wearable device Real-time Collection field data, and described field data is sent to the first terminal matched with described wearable device；
Described first terminal generates unexpected notification package, and sends described unexpected notification package to server, carries described field data and the ID of described wearable device user in described unexpected notification package；
Described server is by disaggregated model good for the described field data input in described unexpected notification package to training in advance, and calculates the unexpected classification that the described field data of output is corresponding；
Described server sends described field data and described unexpected classification to described second terminal bound with described ID；
Unexpected classification described in described second terminal notifying also shows described field data.
Second aspect, it is provided that a kind of unexpected pre-warning system, including first terminal, server and the second terminal that wearable device and described wearable device match,
Described wearable device is used for Real-time Collection field data, and is sent to and described first terminal by described field data；
Described first terminal is used for generating unexpected notification package, and sends described unexpected notification package to server, carries described field data and the ID of described wearable device user in described unexpected notification package；
Described server is used for disaggregated model good for the described field data input in described unexpected notification package to training in advance, and calculates the unexpected classification that the described field data of output is corresponding；
Described second terminal that described server is additionally operable to binding with described ID sends described field data and described unexpected classification；
Described second terminal is used for pointing out described unexpected classification and showing described field data.
The embodiment of the present invention carries out intelligent early-warning based on wearable device to unexpected, user has only to equipped with wearable device, can be realized as the comprehensive early warning to thunder bolt, in time various fortuitous events are informed to other users, realize emergency relief prestissimo and accident responsibility is investigated.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme in the embodiment of the present invention, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the structured flowchart of the unexpected pre-warning system that the embodiment of the present invention provides；
Fig. 2 is the flowchart of the method for the unexpected early warning that the embodiment of the present invention provides；
Fig. 3 be the embodiment of the present invention provide unexpected early warning method S201 implement flow chart.
Detailed description of the invention
In being described below, in order to illustrate rather than in order to limit, it is proposed that the such as detail of particular system structure, technology etc, in order to thoroughly cut and understand the embodiment of the present invention.But, it will be clear to one skilled in the art that and can also realize the present invention in the other embodiments do not have these details.In other situation, omit the detailed description to well-known system, device, circuit and method, in order to avoid unnecessary details hinders description of the invention.
The embodiment of the present invention carries out intelligent early-warning based on wearable device to unexpected, user has only to equipped with wearable device, can be realized as the comprehensive early warning to thunder bolt, in time various fortuitous events are informed to other users, realize emergency relief prestissimo and accident responsibility is investigated.
Fig. 1 illustrates the structured flowchart of the unexpected pre-warning system that the embodiment of the present invention provides, and for the ease of illustrating, illustrate only part related to the present embodiment.
With reference to Fig. 1, the composition of this system at least includes wearable device 11, first terminal 12, server 13 and the second terminal 14, in system operation:
The real-time monitoring field information of wearable device 11, obtains monitoring result, and sends monitoring result to first terminal 12；
First terminal 12 is carried out, with wearable device 11, the terminal matched by modes such as Bluetooth pairing, preferably, it can be the mobile terminal such as smart mobile phone, flat board, it is after receiving the monitoring result that wearable device 11 sends, and the monitoring result with ID is sent to server 13 with the form of information bag；
Server 13 receives and preserves the information bag from first terminal 12, start built-in this information bag of accident identification systematic analysis, carrying out unexpected classification with the monitoring result to wearable device, the unexpected classification that will identify that and field data are sent to the second terminal 14 of this user identifier binding；
Second terminal 14 can be the intelligent terminal such as smart mobile phone, flat board, notebook computer, receiving from after the information of server 13, second terminal 14 will start built-in system for prompting, check the field data residing for wearable device, thus according to the field data additional alarm viewed or take rescue measure.
In conjunction with the structured flowchart of the unexpected pre-warning system shown in Fig. 1, next the method for the unexpected early warning that the embodiment of the present invention provides is described in detail, as shown in Figure 2:
In S201, wearable device Real-time Collection field data, and described field data is sent to the first terminal matched with described wearable device.
Inside wearable device, it is commonly configured with sensing device miscellaneous, including Tuo Luoyi, gravity sensor, infrared inductor, temperature taking device, heart rate induction installation etc., therefore, in embodiments of the present invention, monitored in real time by the sensing device miscellaneous that wearable device is built-in and gather the field data of its local environment, by this field data by short haul connection transmission means such as bluetooths, being transferred to paired first terminal.In embodiments of the present invention, the collectable field data of wearable device includes environmental data and user data, and wherein, environmental data can include geographical position, live audio, image scene and/or live video, etc.；User data includes the human body proximity information around the body temperature of user, heart rate, attitude and/or user, etc., above field data all can pass through the built-in corresponding sensing device of wearable device and obtain.Therefore, can only carrying out early warning according to environmental data to unexpected compared to prior art, the scheme that the embodiment of the present invention provides the user data of integrated environment data and user's self-condition can carry out unexpected early warning, improves the accuracy of unexpected early warning.
Further, in embodiments of the present invention, in wearable device, field data can be carried out Preliminary screening, to primarily determine that being likely unexpected field data is sent to first terminal, mutual to reduce information meaningless between wearable device and first terminal, reduce the energy consumption of wearable device and first terminal.Specifically, as shown in Figure 3:
S301, described field data is carried out feature extraction by described wearable device；
S302, the feature extracted input is carried out characteristic matching by described wearable device to the unexpected property data base preset；
S303, if the characteristic matching success that described field data is in described unexpected property data base, described field data is sent to described first terminal by described wearable device.
In embodiments of the present invention, wearable device has prestored unexpected property data base, field data is acquired by wearable device, feature extraction is carried out for the field data collected, again the feature extracted input is carried out characteristic matching to unexpected property data base, if completing characteristic matching in unexpected property data base, something unexpected happened then to represent the user of now wearable device, corresponding field data after determining user something unexpected happened, then can be sent to first terminal by wearable device.
Exemplarily, the internal structure of wearable device specifically includes:
Minimum system, is used for carrying Android system, management hardware and operation application, and storage has unexpected property data base, runs and monitors in real time and the program of process；
Sensor assembly, is used for obtaining user data and environmental data；
Prompting module, when field data is matched as, time unexpected, reminding user；
Communication module, is used for and first terminal communication；
Interactive module, is used for realizing user mutual, shows information, for user's touch-control.
In S202, described first terminal generates unexpected notification package, and sends described unexpected notification package to server, carries described field data and the ID of described wearable device user in described unexpected notification package.
Wherein, described ID, for the unique account ID that the user of wearable device registers, it is used for identifying user identity.In embodiments of the present invention, first terminal generates the unexpected notification package of information packet form according to the field data received, and ID is added in this accident notification package, and sends this accident notification package to server.
Exemplarily, the internal structure of first terminal specifically includes:
Communication module, is used for and wearable device and server communication；
Message processing module, for field data is packed, and the unexpected notification package for generating adds ID, uploads unexpected notification package to server, and the information of reception；
Exception treatment module, is used for rescue measures such as generating call emergency phone, flashing light in unexpected on-the-spot this locality, blow a whistle, and triggering is reported to the police.
In S203, described server is by disaggregated model good for the described field data input in described unexpected notification package to training in advance, and calculates the unexpected classification that the described field data of output is corresponding.
In embodiments of the present invention, server extracts the field data in unexpected notification package, it is input to the disaggregated model that training in advance is good, disaggregated model can according to the every sensing data feature carried in field data, calculate the unexpected classification belonging to field data, the unexpected classification that final output field data is corresponding.Wherein, described unexpected classification include but not limited to wander away, vehicle accident, uncomfortable etc., for instance, user data is normal, and environmental data deviate from the range of activity of user, then can be categorized as by field data and wander away；Again such as, environmental data display user is in the position often occurred, but user data detects user's rapid heart rate, then can be categorized as by field data uncomfortable.
In S204, described server sends described field data and described unexpected classification to described second terminal bound with described ID.
Wherein, described second terminal has been bound with this ID in advance in the server, and therefore, field data and unexpected classification can be sent to the second terminal of correspondence by server.In a particular application, the second terminal use can be the kith and kin of first terminal and wearable device user.
Exemplarily, the internal structure of server specifically includes:
Subscriber Management System, registers for user, binds wearable device, and by the second terminal and ID binding；
Information system, for information management, stores information, deletes invalid information；
Surprisingly identifying system, the unexpected notification package for first terminal is transmitted carries out unexpected classification, the unexpected classification of output；
Communication system, is used for and first terminal and the second terminal communication.
In S205, unexpected classification described in described second terminal notifying also shows described field data.
Second terminal is after receiving the data that server sends, prompt the user with this accident classification, and demonstrate field data and check for user, so, user can pass through medical data, unexpected field condition is recognized on the on-the-spot multiple data mode various dimensions such as sound, image scene ground, thus making rescue and warning decision-making in time.
Further, as one embodiment of the present of invention, if fortuitous event releases in time, such as, user is lost has picked up correct path afterwards, then can pass through wearable device or first terminal and send early warning cancellation notice to server, and server is after receiving early warning cancellation notice, if now have sent described field data and described unexpected classification to described second terminal, then described server sends described early warning cancellation notice to described second terminal；If now also not sending described field data and described unexpected classification to described second terminal, then described server ignores the operation sending described field data and described unexpected classification to described second terminal, thus realizing in time unexpected situation is updated, avoid meaningless early warning and rescue measure to produce, effectively save the manpower and materials of people's rescue.
The embodiment of the present invention is capable of the unexpected monitoring of omnibearing intelligence, and quick early warning also preserves primary scene information, to reach quickly to take the purpose of rescue measure, saves unexpected early warning cost simultaneously, also reduces fortuitous casualty rate.
Should be understood that in above-described embodiment, the size of the sequence number of each step is not meant to the priority of execution sequence, the execution sequence of each process should be determined with its function and internal logic, and the implementation process of the embodiment of the present invention should not constituted any restriction.
Additionally, the present embodiment first terminal, the second terminal refer to a certain terminal, " first, second " is only statement and the convenience referred at this, for difference different terminals, is not meant in specific implementation of the present invention and necessarily has corresponding first terminal, the second terminal.
Corresponding to the method planting unexpected early warning described in foregoing embodiments, in corresponding unexpected pre-warning system, the function of each communication entity is as follows:
Described wearable device is used for Real-time Collection field data, and is sent to and described first terminal by described field data；
Described first terminal is used for generating unexpected notification package, and sends described unexpected notification package to server, carries described field data and the ID of described wearable device user in described unexpected notification package；
Described server is used for disaggregated model good for the described field data input in described unexpected notification package to training in advance, and calculates the unexpected classification that the described field data of output is corresponding；
Described second terminal that described server is additionally operable to binding with described ID sends described field data and described unexpected classification；
Described second terminal is used for pointing out described unexpected classification and showing described field data.
Alternatively, described wearable device includes:
Feature extraction unit, carries out feature extraction for described wearable device to described field data；
Characteristic matching unit, carries out characteristic matching by the feature extracted input for described wearable device to the unexpected property data base preset；
Transmitting element, if being used for the characteristic matching success in described unexpected property data base of the described field data, described field data is sent to described first terminal by described wearable device.
Alternatively, described field data includes user data and environmental data.
Alternatively, described user data includes the human body proximity information around the body temperature of described wearable device user, heart rate, attitude and/or user；Described environmental data includes geographical position, live audio, image scene and/or live video.
Alternatively, described wearable device or described first terminal are additionally operable to send early warning cancellation notice to described server；
If described server have sent described field data and described unexpected classification to described second terminal, then described server is additionally operable to send described early warning cancellation notice to described second terminal；
If described server does not also send described field data and described unexpected classification to described second terminal, then described server is additionally operable to ignore the operation sending described field data and described unexpected classification to described second terminal.
Those skilled in the art is it can be understood that arrive, for convenience of description and succinctly, only it is illustrated with the division of above-mentioned each functional unit, module, in practical application, as desired above-mentioned functions distribution can be completed by different functional units, module, it is divided into different functional units or module, to complete all or part of function described above by the internal structure of described device.Each functional unit in embodiment, module can be integrated in a processing unit, can also be that unit is individually physically present, can also two or more unit integrated in a unit, above-mentioned integrated unit both can adopt the form of hardware to realize, it would however also be possible to employ the form of SFU software functional unit realizes.It addition, the concrete title of each functional unit, module is also only to facilitate mutually distinguish, it is not limited to the protection domain of the application.The specific works process of unit, module in said system, it is possible to reference to the corresponding process in preceding method embodiment, do not repeat them here.
Those of ordinary skill in the art are it is to be appreciated that the unit of each example that describes in conjunction with the embodiments described herein and algorithm steps, it is possible to being implemented in combination in of electronic hardware or computer software and electronic hardware.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel specifically can should be used for using different methods to realize described function to each, but this realization is it is not considered that beyond the scope of this invention.
In embodiment provided by the present invention, it should be understood that disclosed apparatus and method, it is possible to realize by another way.Such as, system embodiment described above is merely schematic, such as, the division of described module or unit, being only a kind of logic function to divide, actual can have other dividing mode when realizing, for instance multiple unit or assembly can in conjunction with or be desirably integrated into another system, or some features can ignore, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connect the INDIRECT COUPLING that can be through some interfaces, device or unit or communication connects, it is possible to be electrical, machinery or other form.
The described unit illustrated as separating component can be or may not be physically separate, and the parts shown as unit can be or may not be physical location, namely may be located at a place, or can also be distributed on multiple NE.Some or all of unit therein can be selected according to the actual needs to realize the purpose of the present embodiment scheme.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it is also possible to be that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated unit both can adopt the form of hardware to realize, it would however also be possible to employ the form of SFU software functional unit realizes.
If described integrated unit is using the form realization of SFU software functional unit and as independent production marketing or use, it is possible to be stored in a computer read/write memory medium.Based on such understanding, part or all or part of of this technical scheme that prior art is contributed by the technical scheme of the embodiment of the present invention substantially in other words can embody with the form of software product, this computer software product is stored in a storage medium, including some instructions with so that a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform all or part of step of method described in each embodiment of the embodiment of the present invention.And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM, Read-OnlyMemory), the various media that can store program code such as random access memory (RAM, RandomAccessMemory), magnetic disc or CD.
Embodiment described above only in order to technical scheme to be described, is not intended to limit；Although the present invention being described in detail with reference to previous embodiment, it will be understood by those within the art that: the technical scheme described in foregoing embodiments still can be modified by it, or wherein portion of techniques feature is carried out equivalent replacement；And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of each embodiment technical scheme of the embodiment of the present invention.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all any amendment, equivalent replacement and improvement etc. made within the spirit and principles in the present invention, should be included within protection scope of the present invention.
Claims (10)
1. the method for a unexpected early warning, it is characterised in that including:
Wearable device Real-time Collection field data, and described field data is sent to the first terminal matched with described wearable device；
Described first terminal generates unexpected notification package, and sends described unexpected notification package to server, carries described field data and the ID of described wearable device user in described unexpected notification package；
Described server is by disaggregated model good for the described field data input in described unexpected notification package to training in advance, and calculates the unexpected classification that the described field data of output is corresponding；
Described server sends described field data and described unexpected classification to described second terminal bound with described ID；
Unexpected classification described in described second terminal notifying also shows described field data.
2. the method for claim 1, it is characterised in that described wearable device Real-time Collection field data, and described field data is sent to the first terminal matched with described wearable device includes:
Described field data is carried out feature extraction by described wearable device；
The feature extracted input is carried out characteristic matching by described wearable device to the unexpected property data base preset；
If the characteristic matching success that described field data is in described unexpected property data base, described field data is sent to described first terminal by described wearable device.
3. the method for claim 1, it is characterised in that described field data includes user data and environmental data.
4. method as claimed in claim 3, it is characterised in that described user data includes the human body proximity information around the body temperature of described wearable device user, heart rate, attitude and/or user；Described environmental data includes geographical position, live audio, image scene and/or live video.
5. the method for claim 1, it is characterised in that described method also includes:
Described wearable device or described first terminal send early warning cancellation notice to described server；
If described server have sent described field data and described unexpected classification to described second terminal, then described server sends described early warning cancellation notice to described second terminal；
If described server does not also send described field data and described unexpected classification to described second terminal, then described server ignores the operation sending described field data and described unexpected classification to described second terminal.
6. a unexpected pre-warning system, it is characterised in that include wearable device and the first terminal of described wearable device pairing, server and the second terminal,
Described wearable device is used for Real-time Collection field data, and is sent to and described first terminal by described field data；
Described first terminal is used for generating unexpected notification package, and sends described unexpected notification package to server, carries described field data and the ID of described wearable device user in described unexpected notification package；
Described server is used for disaggregated model good for the described field data input in described unexpected notification package to training in advance, and calculates the unexpected classification that the described field data of output is corresponding；
Described second terminal that described server is additionally operable to binding with described ID sends described field data and described unexpected classification；
Described second terminal is used for pointing out described unexpected classification and showing described field data.
7. system as claimed in claim 6, it is characterised in that described wearable device includes:
Feature extraction unit, carries out feature extraction for described wearable device to described field data；
Characteristic matching unit, carries out characteristic matching by the feature extracted input for described wearable device to the unexpected property data base preset；
Transmitting element, if being used for the characteristic matching success in described unexpected property data base of the described field data, described field data is sent to described first terminal by described wearable device.
8. system as claimed in claim 6, it is characterised in that described field data includes user data and environmental data.
9. system as claimed in claim 8, it is characterised in that described user data includes the human body proximity information around the body temperature of described wearable device user, heart rate, attitude and/or user；Described environmental data includes geographical position, live audio, image scene and/or live video.
10. system as claimed in claim 6, it is characterised in that described wearable device or described first terminal are additionally operable to send early warning cancellation notice to described server；
If described server have sent described field data and described unexpected classification to described second terminal, then described server is additionally operable to send described early warning cancellation notice to described second terminal；
If described server does not also send described field data and described unexpected classification to described second terminal, then described server is additionally operable to ignore the operation sending described field data and described unexpected classification to described second terminal.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106955096A (en) * | 2017-02-28 | 2017-07-18 | 厦门快商通科技股份有限公司 | A kind of safety pre-warning system and method for marathon activity |
| CN107255970A (en) * | 2017-06-28 | 2017-10-17 | 国网上海市电力公司 | A kind of wearable electric power safety inspection working equipment |
| CN107845232A (en) * | 2016-09-20 | 2018-03-27 | 北京嘀嘀无限科技发展有限公司 | Send method and device, early-warning processing method and the server of warning information |
| CN108279830A (en) * | 2016-12-31 | 2018-07-13 | 中国移动通信集团辽宁有限公司 | Method, apparatus and mobile terminal for motion analysis |
| CN108632391A (en) * | 2018-05-21 | 2018-10-09 | 北京小米移动软件有限公司 | information sharing method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104763463A (en) * | 2015-04-10 | 2015-07-08 | 山东大学 | Underground coal mine intelligent personal safety system |
| CN104799826A (en) * | 2015-04-30 | 2015-07-29 | 王家法 | Intelligent health service system and alarming reliable detection method |
| WO2015160830A1 (en) * | 2014-04-15 | 2015-10-22 | Chemisense, Inc. | Crowdsourced wearable sensor system |
-
2016
- 2016-01-21 CN CN201610040158.0A patent/CN105739687A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015160830A1 (en) * | 2014-04-15 | 2015-10-22 | Chemisense, Inc. | Crowdsourced wearable sensor system |
| CN104763463A (en) * | 2015-04-10 | 2015-07-08 | 山东大学 | Underground coal mine intelligent personal safety system |
| CN104799826A (en) * | 2015-04-30 | 2015-07-29 | 王家法 | Intelligent health service system and alarming reliable detection method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107845232A (en) * | 2016-09-20 | 2018-03-27 | 北京嘀嘀无限科技发展有限公司 | Send method and device, early-warning processing method and the server of warning information |
| CN108279830A (en) * | 2016-12-31 | 2018-07-13 | 中国移动通信集团辽宁有限公司 | Method, apparatus and mobile terminal for motion analysis |
| CN106955096A (en) * | 2017-02-28 | 2017-07-18 | 厦门快商通科技股份有限公司 | A kind of safety pre-warning system and method for marathon activity |
| CN107255970A (en) * | 2017-06-28 | 2017-10-17 | 国网上海市电力公司 | A kind of wearable electric power safety inspection working equipment |
| CN108632391A (en) * | 2018-05-21 | 2018-10-09 | 北京小米移动软件有限公司 | information sharing method and device |
| CN108632391B (en) * | 2018-05-21 | 2022-03-11 | 北京小米移动软件有限公司 | Information sharing method and device |
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Application publication date: 20160706 |