CN108257066A - A kind of vehicular rescue service system - Google Patents
A kind of vehicular rescue service system Download PDFInfo
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- CN108257066A CN108257066A CN201810090377.9A CN201810090377A CN108257066A CN 108257066 A CN108257066 A CN 108257066A CN 201810090377 A CN201810090377 A CN 201810090377A CN 108257066 A CN108257066 A CN 108257066A
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Abstract
The present invention relates to vehicular rescue technical field, specially a kind of vehicular rescue service system, including cloud server and user terminal, user terminal is used to shoot the environment photo of car accident photo and periphery and is sent to cloud server；Cloud server includes picture recognition module, crash analysis module and schemes generation module, picture recognition module is used to that the object in car accident photo and environment photo to be identified, crash analysis module is used for according to the recognition result of picture recognition module and hazard model data, the hazard model to match with user's car accident photo is selected, schemes generation module is used to generate rescue method according to the recognition result of hazard model, protocol and environment photo.A kind of vehicular rescue service system provided by the invention, rescue company can not accurately obtain car accident state during can solving the problems, such as existing vehicular rescue.
Description
Technical field
The present invention relates to vehicular rescue technical field, in particular to a kind of vehicular rescue service system.
Background technology
With Chinese society expanding economy, private car, officer's car, operation vehicle, the ownership of lorry are increasing, therewith
The vehicular rescue service industry of joint development is also with rapid changepl. never-ending changes and improvements, the vehicle of major vehicle maintenance company, 4 S auto shop and profession
Rescue company etc. is all proposed rescue service for vehicle.Car owner is during trip of driving, if failure is encountered, such as
Cannot start suddenly, it is flame-out after can not start, not have oil, out of power, blow out, even small-sized traffic accident etc., can actively contact vapour
Vehicle rescue service company seeks help to the automobile rescue technical staff of profession, they, which can inquire, judges the general problem of automobile, then rush for
It is succoured at scene.
When being serviced using vehicular rescue, car owner can be linked up by phone or cell phone application with enterprise, in order to standard
The position of true acquisition user, some rescue services can also obtain the satellite location data of user, such as patent CN101340700A
It discloses a kind of " mobile phone emergency rescue reporting system and method ", code will be rescued using mobile phone in the system and defends
The star elements of a fix are sent to voice notification server, generate rescue notification, and rescue notification switchs to be notified to voice and automatic dialing
Rescuing telephone allows car owner quickly to carry out rescue notification, strives for rescue time to rescue center.
For some car owners after car accident is encountered, mood can be highly unstable, it is difficult to calm process problem, and due to thing
Therefore type, degree of danger, car owner's Ability of emergency management situations such as it is varied, car owner often describes the state of vehicle
Inaccuracy, vehicular rescue company is difficult to determine most suitable rescue method according to the description of car owner, if car owner underestimates accident
Difficulty, then rescue method may can't resolve the difficulty of car owner, it is necessary to determine the rescue method of higher level again, again
Tissue rescue can undoubtedly increase time and the cost of rescue；If car owner has over-evaluated accident difficulty, then vehicular rescue company
Rescue method may will be wasted one's talent on a petty job, and waste corporate resource or even have some accidents, need not send rescue personnel at all,
Car owner is only needed, which to save oneself, to be solved.In addition, existing rescue only considers the car accident of car owner, without the environment around considering
State, many times, rescue personnel reach scene after, just find rescue aid can not use or originally formulation rescue plan without
Method is implemented, and then can not effectively be rescued, and wastes rescue time.
Invention content
The invention is intended to provide a kind of vehicular rescue service system, can solve to rescue company during existing vehicular rescue
The problem of car accident state can not accurately be obtained.
In order to solve the above-mentioned technical problem, this patent provides following technical solution：
A kind of vehicular rescue service system, including cloud server and user terminal, wherein：
For shooting car accident photo and the environment photo on accident periphery, the user terminal is used for the user terminal
Car accident photo and environment photo are sent to cloud server；
The cloud server includes data memory module, picture recognition module, crash analysis module and schemes generation mould
Block is stored with image identification data, hazard model data and protocol, described image identification mould in the data memory module
For the object in car accident photo and environment photo to be identified, the crash analysis module is used to be known according to image block
The recognition result of other module and hazard model data select the hazard model to match with user's car accident photo, the side
Case generation module is used to generate rescue method according to the recognition result of hazard model, protocol and environment photo.
In technical solution of the present invention, user can pass through the environment around user terminal collection vehicle accident photograph and accident
Photo, and be sent in cloud server, picture recognition module carries out the environment photo around car accident photo and accident
Analysis, according to image identify data identification photo in key element, as on vehicle, gully, tire, vehicle trace, around
Trees, weather etc., hazard model data and protocol are stored in data memory module, crash analysis module is according to image
Identification as a result, the key element recognized is compared with hazard model data, find out the key element phase with recognizing
Matched casualty data model, protocol is associated with casualty data model, schemes generation module according to casualty data model,
Relevant scheme can be filtered out from data memory module, and combines environment residing around user, is selected suitable for user's reality
The scheme applied.
Compared with prior art, in technical solution of the present invention, by using user terminal collection vehicle accident photograph, by cloud
Server is held to analyze the hazard model of matching accident, judges the concrete condition of accident, such as urgency level, degree of difficulty, and
Automatically generate rescue method, rescue company allow accurately to obtain the car accident details of car owner, avoid car owner's subjectivity because
The influence of element, the environment photo according to residing for occupant position, it can be determined that go out to be suitable for the rescue method of the environment, such as detect
Trees are more around car owner present position, then can not generate the rescue method using trailer by large-scale trailer, avoid
Rescue personnel has found the situation that rescue aid can not use after reaching scene, and rescue method is made to be more suitable for actual implementation.
Further, the rescue method includes saving oneself scheme and rescues scheme.
Car owner can implement in the case where accident is relatively light or during vehicular rescue associate is waited for reach
It saves oneself scheme, saves oneself, it is possible to reduce the work of rescue personnel improves rescue speed and efficiency, and scheme considers due to saving oneself
The situation of ambient enviroment, thus may insure that car owner can implement scheme of saving oneself by ambient enviroment.
Further, the hazard model data include accident kind, incident classification and Accident Characteristic.
Accident kind is used to determine the type of rescue method, and the grade of accident is used to determine the urgency level and difficulty of accident
Degree, Accident Characteristic match hazard model for crash analysis module.
Further, the crash analysis module is used for by by the recognition result of car accident picture and hazard model data
Accident Characteristic compare to obtain Model Matching degree and incident classification, and according to Model Matching degree, select and user's car accident is shone
The hazard model that piece matches.
Key element in the photo identified according to picture recognition module is compared with Accident Characteristic, obtains Model Matching
Degree, the hazard model determined and the car accident of user's reality matches by matching degree；Key element in photo is as hindered
The area of trace, the angle of vehicle body, the depth in gully etc. can be used for judging incident classification.
Further, the schemes generation module is used to match according to protocol and each with user's car accident photo
Accident kind and the incident classification of hazard model select the corresponding rescue method of each hazard model, the schemes generation module
It is additionally operable to, according to the Model Matching degree of hazard model each with user's car accident photo to match, generate each hazard model
The weight of corresponding rescue method, and final rescue method is generated according to weight.
Weight is generated according to Model Matching degree, the rescue method of each hazard model is combined most by generation according to weight
Whole rescue method, can make rescue method be more in line with the actual conditions of user's car accident.
Further, the user terminal includes locating module, and the user is additionally operable to eventually by the positioning result of locating module
It is sent to cloud server.
The position of user is positioned by locating module, convenient for vehicular rescue, personnel are quickly found out user location, subtract
Few period of reservation of number, improves rescue efficiency.
Further, the cloud server further includes alarm and reminding module, and the alarm and reminding module can be according to each
The grade of the car accident of weight and incident classification the generation user of the corresponding rescue method of hazard model, and according to the vehicle of user
The grade of accident sends alarm and reminding to corresponding responsible person.
The grade of each user's car accident is generated by alarm and reminding module, corresponding responsible person is reminded according to grade,
Rescue personnel can be allowed with according to incident classification, priority processing is than more serious and urgent car accident.
Description of the drawings
Fig. 1 is the logic diagram in a kind of vehicular rescue service system embodiment of the present invention.
Specific embodiment
Below by specific embodiment, the present invention is described in further detail：
As shown in Figure 1, a kind of vehicular rescue service system of the present embodiment, including cloud server and user terminal, wherein：
For shooting car accident photo and the environment photo on accident periphery, user terminal is used for vehicle thing user terminal
Therefore photo and environment photo are sent to cloud server；User terminal includes locating module, and user terminal is additionally operable to positioning mould
The positioning result of block is sent to cloud server, and in the present embodiment, user terminal can be the mobile phone for being mounted with corresponding APP, flat
Plate or intelligent wearable device.The image collected and position data are sent to cloud server by it by network.
Cloud server includes data memory module, picture recognition module, crash analysis module, schemes generation module and police
Report reminding module.Image identification data, hazard model data and protocol, hazard model number are stored in data memory module
According to including accident kind, incident classification and Accident Characteristic, protocol includes various rescue methods and scheme of saving oneself, each scheme
The required material and facility of type, scheme is applicable in including scheme, scheme estimates processing time, the number such as scheme occupied space
According to.
Picture recognition module can according to image identify data to the environment photo around car accident photo and accident into
Capable analyzing and processing identifies key element and feature in photo, such as the trace on vehicle, gully, tire, vehicle, tree around
Wood, surrounding space size, weather etc., picture recognition module uses existing image recognition algorithm in the present embodiment；
Crash analysis module includes similarity calculation submodule, grade assessment submodule and hazard model screening submodule,
The similarity calculation submodule be used for according to image identify as a result, by the key element recognized and each hazard model
Accident Characteristic data be compared to obtain Model Matching degree, each key element in different hazard models have difference
Similarity weight, for example, for the hazard model of overturning, vehicle, vehicle the features such as angle occupy larger weight, and vehicle
The similarities weights such as the state of ground of present position are relatively low, and the hazard model in gully, the phase of the state of ground are absorbed in for vehicle
It is higher like degree weight, during similarity calculation submodule computation model matching degree, to each hazard model, it will be obtained from photo
Each key element or feature bring into, according to the total scoring of Weight read group total as Model Matching degree；Grade is commented
Estimate submodule for according to image identify as a result, extract key element characteristic, the depth of angle, gully such as vehicle
The size etc. of degree, trace, and according to these characteristics rank that calculates that accidents happened, such as it is directed to the accident mould that vehicle is absorbed in gully
Type, the depth that incident classification is then dependent on gully are calculated；Hazard model screening submodule is used for according to Model Matching degree
Filter out the hazard model that Model Matching degree is more than preset value.
Schemes generation module is used to generate rescue party according to the recognition result of hazard model, protocol and environment photo
Case.Specifically, rescue method includes saving oneself scheme and rescues scheme, schemes generation module include saving oneself schemes generation submodule,
Rescue schemes generation submodule and environments match module, save oneself schemes generation submodule and rescue schemes generation submodule being capable of root
According to corresponding and hazard model in the applicable type Choice data of scheme each in the type and protocol of hazard model
Scheme, material and facility of the environments match module according to needed for scheme, scheme the space occupied, scheme estimate the time of processing
And the recognition result of the environment photo of picture recognition module identification, the scheme that can implement is filtered out, schemes generation of saving oneself
Module with rescue schemes generation submodule using the Model Matching degree of each hazard model scheme corresponding as the hazard model
Weight saves oneself and schemes generation submodule and rescues schemes generation submodule according to weight, scheme is combined, is generated final
Rescue method.
By taking vehicle is absorbed in roadside gully as an example, user can be shot by mobile phone after vehicle is absorbed in gully and be absorbed in gully
The photo of wheel and the environment photo of surrounding, and these photos are sent jointly into cloud server, the figure of cloud server
As the object in photo is identified in video module, such as gully, wheel, vehicle, surrounding trees, brick, shop, crash analysis
Module is according to floor type (soil, cement flooring, asphalt road), the situation that wheel is blocked and the description of car owner by the vehicle
Accident is compared to obtain Model Matching degree with the Accident Characteristic data of each hazard model, such as obtains and overturn accident
Model Matching degree is 0.1, and the Model Matching degree with being absorbed in muddy ground is 0.9, and the Model Matching degree with being absorbed in cement gully is 0.7,
Hazard model screening submodule then filters out the hazard model that Model Matching degree is more than 0.5, then is finally absorbed in the accident mould of muddy ground
Type is selected with the hazard model for being absorbed in cement gully, is then obtained the size of wheel according to vehicle and is hidden according to by gully
The area reckoning wheel of gear is absorbed in depth, generates incident classification.Schemes generation module is searched for and is absorbed in from data memory module
The relevant rescue method in gully, such as have for the rescue method for being absorbed in muddy ground and fill out underbed body under Manual shovel soil, wheel, using auxiliary
It helps crawler belt, carry out the scheme of drawing etc. using trailer, be divided into the scheme of saving oneself and rescue scheme, according to the environment photo of car owner
In environmental data, screened, for example, for Manual shovel soil, then require car owner should have scoop, for wheel analyse fill
The scheme of object then around should have brick, plank and other items, and using trailer, then surrounding terrain should be ensured that trailer can reach
, similarly also there is corresponding rescue method at scene etc., the remaining feasible rescue method of finally screening for being absorbed in cement gully,
Schemes generation module is using the Model Matching degree of each hazard model as the weight of the corresponding scheme of the hazard model, then basis
Scheme is combined by weight, generates final rescue method.
Alarm and reminding module can be generated according to the weight and incident classification of the corresponding rescue method of each hazard model and be used
The grade of the car accident at family, and alarm and reminding is sent to corresponding responsible person according to the grade of the car accident of user.
Above is only the embodiment of the present invention, and the common sense such as well known concrete structure and characteristic are not made excessively herein in scheme
Description, all common of technical field that the present invention belongs to before one skilled in the art know the applying date or priority date
Technological know-how can know the prior art all in the field, and with using routine experiment means before the date
Ability, one skilled in the art with reference to self-ability can improve under the enlightenment that the application provides and implement we
Case, some typical known features or known method should not become the barrier that one skilled in the art implement the application
Hinder.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, if can also make
Dry modification and improvement, these should also be considered as protection scope of the present invention, these all do not interfere with the effect that the present invention implemented and
Practical applicability.The scope of protection required by this application should be based on the content of the claims, the specific reality in specification
Apply the content that the records such as mode can be used for explaining claim.
Claims (7)
1. a kind of vehicular rescue service system, including cloud server and user terminal, it is characterised in that：
For shooting car accident photo and the environment photo on accident periphery, the user terminal is used for vehicle the user terminal
Accident photograph and environment photo are sent to cloud server；
The cloud server includes data memory module, picture recognition module, crash analysis module and schemes generation module, institute
It states and image identification data, hazard model data and protocol, described image identification module use is stored in data memory module
It is identified in the object in car accident photo and environment photo, the crash analysis module is used to identify mould according to image
The recognition result of block and hazard model data select the hazard model to match with user's car accident photo, the scheme life
It is used to generate rescue method according to the recognition result of hazard model, protocol and environment photo into module.
2. vehicular rescue service system according to claim 1, it is characterised in that：The rescue method includes scheme of saving oneself
With the scheme of rescuing.
3. vehicular rescue service system according to claim 1, it is characterised in that：The hazard model data include accident
Type, incident classification and Accident Characteristic.
4. vehicular rescue service system according to claim 3, it is characterised in that：The crash analysis module is used to pass through
The Accident Characteristic of the recognition result of car accident picture and hazard model data is compared to obtain Model Matching degree and incident classification,
And according to Model Matching degree, select the hazard model to match with user's car accident photo.
5. vehicular rescue service system according to claim 4, it is characterised in that：The schemes generation module is used for basis
Protocol and the accident kind of hazard model each to match with user's car accident photo are selected each with incident classification
The corresponding rescue method of hazard model, the schemes generation module are additionally operable to basis and each match with user's car accident photo
Hazard model Model Matching degree, generate the weight of the corresponding rescue method of each hazard model, and according to weight generation most
Whole rescue method.
6. vehicular rescue service system according to claim 1, it is characterised in that：The user terminal includes positioning mould
Block, the user are additionally operable to the positioning result of locating module being sent to cloud server eventually.
7. vehicular rescue service system according to claim 4, it is characterised in that：The cloud server further includes alarm
Reminding module, the alarm and reminding module can give birth to according to the weight and incident classification of the corresponding rescue method of each hazard model
Into the grade of the car accident of user, and according to the grade of the car accident of user alarm and reminding is sent to corresponding responsible person.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108961768A (en) * | 2018-07-30 | 2018-12-07 | 鄂尔多斯市普渡科技有限公司 | The unmanned police cruiser of one kind and patrol method |
| CN109885737A (en) * | 2019-02-02 | 2019-06-14 | 上海救要救信息科技有限公司 | It is a kind of for establishing the method and apparatus of rescue group |
| CN110796578A (en) * | 2019-09-11 | 2020-02-14 | 中国平安财产保险股份有限公司 | Judgment method and device for grading rescue, computer equipment and storage medium |
| CN111081026A (en) * | 2019-12-09 | 2020-04-28 | 上海擎感智能科技有限公司 | Intelligent rescue system and method for vehicle |
| CN112311821A (en) * | 2019-07-26 | 2021-02-02 | 浙江吉利汽车研究院有限公司 | Traffic accident rescue method and device and automobile |
| CN113139679A (en) * | 2021-04-06 | 2021-07-20 | 青岛以萨数据技术有限公司 | Urban road rescue early warning method, system and equipment based on neural network |
| CN117315945A (en) * | 2023-11-30 | 2023-12-29 | 长春汽车工业高等专科学校 | Traffic collision accident vehicle rescue method and system based on big data |
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| CN112311821A (en) * | 2019-07-26 | 2021-02-02 | 浙江吉利汽车研究院有限公司 | Traffic accident rescue method and device and automobile |
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| CN111081026A (en) * | 2019-12-09 | 2020-04-28 | 上海擎感智能科技有限公司 | Intelligent rescue system and method for vehicle |
| CN113139679A (en) * | 2021-04-06 | 2021-07-20 | 青岛以萨数据技术有限公司 | Urban road rescue early warning method, system and equipment based on neural network |
| CN117315945A (en) * | 2023-11-30 | 2023-12-29 | 长春汽车工业高等专科学校 | Traffic collision accident vehicle rescue method and system based on big data |
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